Modeling late-onset Alzheimer’s disease neuropathology via direct neuronal reprogramming
Open accessPublished version of a preprint
Abstract
Late-onset Alzheimer’s disease (LOAD) is the most common form of Alzheimer’s disease (AD). However, modeling sporadic LOAD that endogenously captures hallmark neuronal pathologies such as amyloid-β (Aβ) deposition, tau tangles, and neuronal loss remains an unmet need. We demonstrate that neurons generated by microRNA (miRNA)–based direct reprogramming of fibroblasts from individuals affected by autosomal dominant AD (ADAD) and LOAD in a three-dimensional environment effectively recapitulate key neuropathological features of AD. Reprogrammed LOAD neurons exhibit Aβ-dependent neurodegeneration, and treatment with β- or γ-secretase inhibitors before (but not subsequent to) Aβ deposit formation mitigated neuronal death. Moreover inhibiting age-associated retrotransposable elements in LOAD neurons reduced both Aβ deposition and neurodegeneration. Our study underscores the efficacy of modeling late-onset neuropathology of LOAD through high-efficiency miRNA-based neuronal reprogramming.
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Written from the paper’s full text.
TL;DR
MicroRNA-based direct reprogramming of patient fibroblasts into 3D cortical neurons and spheroids recapitulates Aβ deposition, tau pathology, and neurodegeneration in both autosomal dominant AD (ADAD) and late-onset AD (LOAD). LOAD neurons show Aβ-dependent degeneration, and inhibiting retrotransposable elements with lamivudine (3TC) reduces Aβ, tau pathology, DNA damage, and neuronal death.
Key findings
- ADAD and LOAD reprogrammed neurons/spheroids develop extracellular Aβ deposits: ADAD 3D-CNs showed 10–50 μm deposits and a threefold increase in total Aβ volume versus healthy controls; LOAD 3D-CNs and spheroids had higher Aβ than age-matched controls (p < 0.05 for spheroids).
- Both ADAD and LOAD neurons showed tau dysregulation, including elevated AT8/PHF1 p-tau, MC1 misfolded tau, K63-ubiquitin+ p-tau in beaded dystrophic neurites, seed-competent tau by FRET, and approximately equal 3R/4R tau isoform ratios.
- Neurodegeneration was spontaneous and selective: ADAD spheroids shrank ~50% from PID17 to PID33 versus ~10% for HC; LOAD spheroids showed ~50% size reduction versus ~10–20% for HC, with increased TUNEL, neurite retraction, and impaired synapse formation.
- β- or γ-secretase inhibition before Aβ deposit formation (PID16) reduced LOAD spheroid Aβ by 80–90%, lowered p-tau, and reduced neuronal death by ~50%; treatment after deposits formed (PID22) was absent or only modest (~30% with DAPT) and did not reduce death. 3TC reduced ssDNA by ~50% and decreased neuronal death, Aβ deposition, p-tau, K63-ubiquitin+ tau, and DNA damage.
Methods
- Human fibroblasts from 10 individuals with AD (4 ADAD, 6 LOAD) and 17 age-/sex-matched healthy controls were reprogrammed with miR-9/9*–124 plus NEUROD2 and MYT1L toward cortical neurons.
- Two 3D formats were used: thin-gel culture (~0.1×10^6 cells/well) and high-density spheroids (~0.5×10^6 cells), followed by 2–3 weeks of reprogramming.
- Analyses included immunostaining, RNA-seq, qPCR, FRET tau seeding assays, TEM, Sytox-Green/TUNEL cell-death assays, and drug treatments with β-/γ-secretase inhibitors or 3TC; RNA-seq comparisons used separate ADAD (4 vs 4 HC), LOAD (5 vs 5 HC), and 3TC-treated LOAD (4 individuals) groups.
Limitations
- Stated: the mechanism by which 3TC reduces Aβ formation remains unclear; why LOAD neurons are selectively vulnerable to RTE dysregulation while old healthy-control neurons tolerate it is unresolved; future whole-genome sequencing and chromatin profiling are needed to identify genetic/epigenetic changes underlying LOAD neuron degeneration.
- Stated: the study focuses on neurons and does not model interactions with other brain cell types; robust direct reprogramming methods for aged astrocytes and microglia are still needed to study neuron-glia interactions in age-associated disease progression.
- Evident from the text: sample sizes are small (e.g., 4 ADAD, 6 LOAD, and corresponding control lines), and the model relies on patient-derived fibroblasts rather than direct human brain tissue, though transcriptomic comparisons to postmortem AD datasets are reported.
Model-written summary. Check it against the paper before relying on it.
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Claims the paper makes
114 of 127 cited sources checked · 57 supported · 4 flagged · accuracy not yet measured
- Premisecitation
Late-stage neuropathological features, such as formation of insoluble tau and neurodegeneration, have not been reported in iPSC-derived neurons from individuals with AD.
“but late-stage neuropathological features, such as formation of insoluble tau and neurodegeneration have not been reported.”
Quote in the paperSubstantial claim6 of 6 sources checked- cites [12] Israel MA, Probing sporadic and familial Alzheimer’s disease using induced pluripotent stem cells. Nature 482, 216– 220 (2012). 22278060 PMC3338985 source
The paper’s discussion of early pathogenesis reports elevated phosphorylated tau, but treats neurofibrillary tangles and cell death as downstream questions rather than observed features in its iPSC-derived neurons (section labelled Abstract; page unavailable). It does not report insoluble tau or neurodegeneration in its cultures, but it does not establish the broader claim that these features had not been reported in any AD iPSC-derived neurons. (LLM, conf=0.79)
Experimental — accuracy not yet measured - cites [13] Kondo T., Modeling Alzheimer’s disease with iPSCs reveals stress phenotypes associated with intracellular Abeta and differential drug responsiveness. Cell Stem Cell 12, 487– 496 (2013). 23434393 source
The Results (page unavailable) report that AD(APP-E693Δ) iPSC-derived neurons had a lower survival rate than control neurons under neurotrophic-factor-depleted culture conditions, contrary to the unqualified statement that neurodegeneration had not been reported. The paper does not address whether insoluble tau had been reported in these neurons. (LLM, conf=0.76)
Checked by a reasoning model — may be wrong.
Experimental — accuracy not yet measured - cites [14] Lomoio S., 3D bioengineered neural tissue generated from patient-derived iPSCs mimics time-dependent phenotypes and transcriptional features of Alzheimer’s disease. Mol Psychiatry, (2023). PMC11164539 37365240 source
The Background says iPSC-derived neural cultures reproduce some AD phenotypes, and the Discussion reports amyloid deposition in the authors’ 3D cultures. Neither section says whether insoluble tau or neurodegeneration had been reported in AD patient-derived iPSC neurons. Searches for those terms and late-stage hallmarks found no passage establishing the claimed absence. (LLM, conf=0.70)
Experimental — accuracy not yet measured - cites [15] Ochalek A., Neurons derived from sporadic Alzheimer’s disease iPSCs reveal elevated TAU hyperphosphorylation, increased amyloid levels, and GSK3B activation. Alzheimers Res Ther 9, 90 (2017). 29191219 PMC5709977 source
The Discussion reports TAU hyperphosphorylation in AD iPSC-derived neurons but does not say whether insoluble TAU or late-stage neurodegeneration has been reported in such models. The Results report cell death after externally applied Aβ oligomers, which does not establish spontaneous late-stage neurodegeneration. Searches for insoluble TAU and late-stage neurodegeneration found no passage resolving the claim. (LLM, conf=0.70)
Experimental — accuracy not yet measured - cites [16] Raja WK, Self-Organizing 3D Human Neural Tissue Derived from Induced Pluripotent Stem Cells Recapitulate Alzheimer’s Disease Phenotypes. PLoS One 11, e0161969 (2016). 27622770 PMC5021368 source
The Introduction (page unavailable) says iPSC-derived neural cells have been used to model aspects of AD, while the Discussion describes tau pathology and neuronal loss in mouse models. Neither passage says whether insoluble tau or neurodegeneration had been reported in AD patient-derived iPSC neurons. Searches for those specific late-stage features did not find a passage addressing that claim. (LLM, conf=0.70)
Experimental — accuracy not yet measured - cites [17] Wang C., Gain of toxic apolipoprotein E4 effects in human iPSC-derived neurons is ameliorated by a small-molecule structure corrector. Nat Med 24, 647– 657 (2018). 29632371 PMC5948154 source
The Results section, “ApoE4 causes GABAergic neuron degeneration/loss in hiPSC-derived neuronal culture” (page unavailable), reports degeneration and apoptotic death in human iPSC-derived GABAergic neurons—contrary to the claim that neurodegeneration has not been reported. The passages report phosphorylated tau, but do not establish formation of insoluble tau. (LLM, conf=0.90)
Checked by a reasoning model — may be wrong.
Experimental — accuracy not yet measured
- Findingown data
PI16 and ADAMDEC1, whose expression is strongly suppressed by inflammatory response, were increased in 3TC-treated spheroids.
“Both PI16 and ADAMDEC1, whose expression is strongly suppressed by inflammatory response (91, 92), were increased in 3TC-treated spheroids (Fig. 7F).”
Quote in the paperSubstantial claim2 of 2 sources checked- cites [91] Hazell GG, PI16 is a shear stress and inflammation-regulated inhibitor of MMP2. Sci Rep 6, 39553 (2016). 27996045 PMC5171773 source
- cites [92] O’Shea NR, Critical Role of the Disintegrin Metalloprotease ADAM-like Decysin-1 [ADAMDEC1] for Intestinal Immunity and Inflammation. J Crohns Colitis 10, 1417– 1427 (2016). 27226416 PMC5174729 source
The Results (§3.4; page unavailable) report that Adamdec1 was significantly upregulated during DSS-induced colitis, not suppressed by the inflammatory response. The Discussion likewise says that under-expression reported in Crohn’s disease is unlikely to be due to bowel inflammation itself. This source does not address the citing authors’ 3TC-treated spheroids; that finding is attributed to their Figure 7F, not to this paper. (LLM, conf=0.89)
Checked by a reasoning model — may be wrong.
Experimental — accuracy not yet measured
- Premisecitation
Modeling these pathological hallmarks has largely relied on transgenic cellular and animal models harboring genetic mutations linked to ADAD.
“Modeling these pathological hallmarks has largely relied on transgenic cellular and animal models harboring genetic mutations linked to ADAD (3–5).”
Quote in the paperSubstantial claim2 of 3 sources checked- cites [3] Choi SH, A three-dimensional human neural cell culture model of Alzheimer’s disease. Nature 515, 274– 278 (2014). 25307057 PMC4366007 source
- cites [4] Yokoyama M, Kobayashi H, Tatsumi L, Tomita T, Mouse Models of Alzheimer’s Disease. Front Mol Neurosci 15, 912995 (2022). 35799899 PMC9254908 source
The section “Aβ Deposited Mouse Models Based on APP Mutations” says widely used mouse models carry familial AD-linked APP mutations. The paper does not establish the claim about cellular models, and its “Tauopathy Mouse Models” section says tau models use mutations linked to frontotemporal dementia, not familial AD. No page numbers are available in our copy. (LLM, conf=0.86)
Experimental — accuracy not yet measured - cites [5] Zetterberg H, Mattsson N, Understanding the cause of sporadic Alzheimer’s disease. Expert Rev Neurother 14, 621– 630 (2014). 24852227 source
- Premisecitation
Ultra-structural analyses of tau filaments in brains from individuals with AD have shown that tau tangles contain both 3-repeat (3R)-tau and 4-repeat (4R)-tau isoforms.
“ultra-structural analyses of tau filaments in brains from individuals with AD have shown that tau tangles contain both 3-repeat (3R)-tau and 4-repeat (4R)-tau isoforms (18)”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [18] Fitzpatrick AWP, Cryo-EM structures of tau filaments from Alzheimer’s disease. Nature 547, 185– 190 (2017). 28678775 PMC5552202 source
- Premisecitation
Fetal neurons and iPSCs-derived neurons primarily express 3R-tau.
“However, fetal neurons and iPSCs-derived neurons primarily express 3R-tau (20, 21)”
Quote in the paperSubstantial claim2 of 2 sources checked- cites [20] Capano LS, Recapitulation of endogenous 4R tau expression and formation of insoluble tau in directly reprogrammed human neurons. Cell Stem Cell 29, 918– 932 e918 (2022). 35659876 PMC9176216 source
- cites [21] Sato C., Tau Kinetics in Neurons and the Human Central Nervous System. Neuron 97, 1284– 1298 e1287 (2018). 29566794 PMC6137722 source
The Results state that iPSC-derived neurons express predominantly 3R tau, and the Discussion reports much less 4R than 3R tau in the cultures studied. The passages found do not address whether fetal neurons primarily express 3R tau, so that part of the claim is unsupported by this paper. (LLM, conf=0.88)
Experimental — accuracy not yet measured
- Premisecitation
Induction of pluripotency in iPSCs resets the age signatures of the donor cells to a fetal stage.
“However, induction of pluripotency in iPSCs resets the age signatures of the donor cells to a fetal stage (7–9).”
Quote in the paperSubstantial claim3 of 3 sources checked- cites [7] Lapasset L., Rejuvenating senescent and centenarian human cells by reprogramming through the pluripotent state. Genes Dev 25, 2248– 2253 (2011). 22056670 PMC3219229 source
In “Resetting telomere function,” the paper reports that aged donor fibroblasts share an aging gene-expression signature, while the six-factor-derived iPSCs cluster with human embryonic stem cells and show reset telomere-related genes. This supports resetting aging signatures through pluripotency, but the paper does not identify the resulting state as fetal; it compares the iPSCs with embryonic stem cells. (LLM, conf=0.84)
Experimental — accuracy not yet measured - cites [8] Miller JD, Human iPSC-based modeling of late-onset disease via progerin-induced aging. Cell Stem Cell 13, 691– 705 (2013). 24315443 PMC4153390 source
The Results section, “Reprogramming reverts Age-Associated Markers to a ‘Young’ State,” reports that iPSCs from old donors lacked age-associated markers and resembled young-donor iPSCs. It does not establish that their age signatures were reset specifically to a fetal stage, and it notes that selection of cells with low marker expression cannot be ruled out. (LLM, conf=0.86)
Experimental — accuracy not yet measured - cites [9] Horvath S, DNA methylation age of human tissues and cell types. Genome Biol 14, R115 (2013). 24138928 PMC4015143 source
The section “DNAm age of induced pluripotent stem cells and stem cells” reports that iPS cells have a significantly younger DNA methylation age than corresponding primary cells and no detectable difference from embryonic stem cells. The Background says iPS-cell induction resets the epigenetic clock to zero. The paper supports resetting this age measure, but does not establish a fetal-stage profile across age signatures more broadly. (LLM, conf=0.84)
Experimental — accuracy not yet measured
- Premisecitation
Direct cellular reprogramming retains age-related signatures stored in pre-reprogrammed non-neural somatic cells such as fibroblasts, including the epigenetic age, telomere length, and gene expression changes.
“Direct cellular reprogramming retains age-related signatures stored in pre-reprogrammed non-neural somatic cells such as fibroblasts, including the epigenetic age, telomere length, and gene expression changes (22, 23).”
Quote in the paperSubstantial claim2 of 2 sources checked- cites [22] Huh CJ, Maintenance of age in human neurons generated by microRNA-based neuronal conversion of fibroblasts. Elife 5, (2016). PMC5067114 27644593 source
- cites [23] Mertens J., Directly Reprogrammed Human Neurons Retain Aging-Associated Transcriptomic Signatures and Reveal Age-Related Nucleocytoplasmic Defects. Cell Stem Cell 17, 705– 718 (2015). 26456686 PMC5929130 source
The Results report age-dependent gene expression in neurons directly converted from fibroblasts, supporting retention of an aging-related transcriptomic signature. The paper does not show that direct conversion retains epigenetic age or telomere length; its Discussion mentions telomere size in the different context of reprogramming fibroblasts into iPSCs. It also finds that most age-dependent genes differ between fibroblasts and the converted neurons. (LLM, conf=0.89)
Experimental — accuracy not yet measured
- Premisecitation
No AD hallmark neuropathology was shown in neurons directly induced from individuals with AD through NGN2/ASCL1 overexpression.
“but no AD hallmark neuropathology was shown.”
Quote in the paperSubstantial claim3 of 3 sources checked- cites [11] Mertens J., Age-dependent instability of mature neuronal fate in induced neurons from Alzheimer’s patients. Cell Stem Cell 28, 1533– 1548 e1536 (2021). 33910058 PMC8423435 source
The Results section, “Direct iN conversion of fibroblasts from AD patients and controls” (page unavailable), confirms that the authors generated neurons from AD donors using Ngn2/Ascl1. But it also reports an increased Aβ42/40 ratio in neurons from familial AD patients, so the unqualified statement that no AD hallmark pathology was shown overstates the findings. The cited passages do not establish the absence of other hallmark neuropathology. (LLM, conf=0.78)
Experimental — accuracy not yet measured - cites [24] Herdy JR, Increased post-mitotic senescence in aged human neurons is a pathological feature of Alzheimer’s disease. Cell Stem Cell 29, 1637– 1652 e1636 (2022). 36459967 PMC10093780 source
The Results section on senescent patterns in AD induced neurons (page unavailable) confirms that neurons from AD patients were generated by direct Ngn2/Ascl1 conversion. The Results section on in vitro senescence markers reports AD-associated neuronal senescence, but our copy does not establish whether hallmark neuropathology such as amyloid plaques or tau tangles was shown or absent in those neurons. (LLM, conf=0.78)
Experimental — accuracy not yet measured - cites [25] Traxler L., Warburg-like metabolic transformation underlies neuronal degeneration in sporadic Alzheimer’s disease. Cell Metab 34, 1248– 1263 e1246 (2022). 35987203 PMC9458870 source
The Results section, “Functional iNs directly converted from fibroblasts of patients with AD and control donors” (page unavailable), confirms that neurons from AD donors were generated by Ascl1 and Ngn2 overexpression. The cited passages do not establish the broader assertion that no AD hallmark neuropathology was shown; the paper also reports AD-related changes in neuronal vulnerability under treatment in “Induction of aerobic glycolysis in iNs causes immature-like apoptotic competency” (page unavailable). (LLM, conf=0.74)
Experimental — accuracy not yet measured
- Premisecitation
This miRNA-induced neuronal state can synergize with additional transcription factors to generate disease-relevant neuronal subtypes that recapitulate age-dependent neuropathology, including primary tauopathy and adult-onset neurodegeneration of Huntington's disease.
“This miRNA-induced neuronal state can synergize with additional transcription factors (TFs) to generate disease-relevant neuronal subtypes that recapitulate age-dependent neuropathology (26, 28, 30, 31), including primary tauopathy and adult-onset neurodegeneration of Huntington’s disease (20, 32, 33).”
Quote in the paperSubstantial claim3 of 3 sources checked- cites [20] Capano LS, Recapitulation of endogenous 4R tau expression and formation of insoluble tau in directly reprogrammed human neurons. Cell Stem Cell 29, 918– 932 e918 (2022). 35659876 PMC9176216 source
- cites [32] Oh YM, Age-related Huntington’s disease progression modeled in directly reprogrammed patient-derived striatal neurons highlights impaired autophagy. Nat Neurosci 25, 1420– 1433 (2022). 36303071 PMC10162007 source
- cites [33] Victor MB, Striatal neurons directly converted from Huntington’s disease patient fibroblasts recapitulate age-associated disease phenotypes. Nat Neurosci 21, 341– 352 (2018). 29403030 PMC5857213 source
- Premisecitation
MiR-9/9* and miR-124, when expressed in human adult fibroblasts, induce chromatin reconfiguration leading to sequential steps of fibroblast identity erasure and neuronal program activation with high efficiency reaching over 80% of conversion rate.
“MiR-9/9* and miR-124 (miR-9/9*−124), when expressed in human adult fibroblasts, induce chromatin reconfiguration leading to sequential steps of fibroblast identity erasure and neuronal program activation with high efficiency reaching over 80% of conversion rate (28, 29).”
Quote in the paperSubstantial claim2 of 2 sources checked- cites [28] Abernathy DG, MicroRNAs Induce a Permissive Chromatin Environment that Enables Neuronal Subtype-Specific Reprogramming of Adult Human Fibroblasts. Cell Stem Cell 21, 332– 348 e339 (2017). 28886366 PMC5679239 source
Split into 2 atoms — 0 confirmed, 2 partially supported, 0 disputed, 0 misattributed, 0 unverifiable. Expand the claim to see per-atom verdicts.
Experimental — accuracy not yet measured - cites [29] Cates K., Deconstructing Stepwise Fate Conversion of Human Fibroblasts to Neurons by MicroRNAs. Cell Stem Cell 28, 127– 140 e129 (2021). 32961143 PMC7796891 source
Split into 2 atoms — 1 confirmed, 1 partially supported, 0 disputed, 0 misattributed, 0 unverifiable. Expand the claim to see per-atom verdicts.
Experimental — accuracy not yet measured
- Premisecitation
Among the top downregulated genes, common variants in ADH1B and MS4A6E have been associated with an increasing risk of AD.
“Among the top downregulated genes, common variants in ADH1B (59), and MS4A6E (60) have been associated with an increasing risk of AD.”
Quote in the paperNot a substantial claim2 of 2 sources checked- cites [59] Chen H, Zheng X, Xiao D, Zheng Y, Age-associated de-repression of retrotransposons in the Drosophila fat body, its potential cause and consequence. Aging Cell 15, 542– 552 (2016). 27072046 PMC4854910 source
The Results passage on gene expression concerns age-related retrotransposon upregulation in Drosophila fat bodies (Figure 1); it does not address the claimed downregulated genes or Alzheimer’s disease risk. Searches for ADH1B, MS4A6E, and Alzheimer’s disease variants found no passage in our copy addressing those associations. (LLM, conf=0.77)
Experimental — accuracy not yet measured - cites [60] Naj AC, Common variants at MS4A4/MS4A6E, CD2AP, CD33 and EPHA1 are associated with late-onset Alzheimer’s disease. Nat Genet 43, 436– 441 (2011). 21460841 PMC3090745 source
- Findingown data
ADAD 3D-CNs showed GT-38-labeled tau albeit in low occurrences.
“Moreover, using GT-38 tau antibody, which selectively labels the AD-specific tau strain (47), we found that ADAD 3D-CNs showed GT-38-labeled tau albeit in low occurrences (Fig. S4E).”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [47] Gibbons GS, Detection of Alzheimer Disease (AD)-Specific Tau Pathology in AD and NonAD Tauopathies by Immunohistochemistry With Novel Conformation-Selective Tau Antibodies. J Neuropathol Exp Neurol 77, 216– 228 (2018). 29415231 PMC6251598 source
- Premisecitation
Aβ deposition is not exclusive to individuals with AD as it can be found also in nondemented elderly individuals.
“It is important to note that Aβ deposition is not exclusive to individuals with AD as it can be found also in nondemented elderly individuals (64).”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [64] Price JL, Neuropathology of nondemented aging: presumptive evidence for preclinical Alzheimer disease. Neurobiol Aging 30, 1026– 1036 (2009). 19376612 PMC2737680 source
- Premisecitation
K63-linked accumulation of ubiquitinated tau is associated with tau seeding.
“In human AD brains, K63-linked accumulation of ubiquitinated tau is associated with tau seeding (41).”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [41] Puangmalai N., Lysine 63-linked ubiquitination of tau oligomers contributes to the pathogenesis of Alzheimer’s disease. J Biol Chem 298, 101766 (2022). 35202653 PMC8942844 source
- Premisecitation
GT-38 tau antibody selectively labels the AD-specific tau strain.
“using GT-38 tau antibody, which selectively labels the AD-specific tau strain (47)”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [47] Gibbons GS, Detection of Alzheimer Disease (AD)-Specific Tau Pathology in AD and NonAD Tauopathies by Immunohistochemistry With Novel Conformation-Selective Tau Antibodies. J Neuropathol Exp Neurol 77, 216– 228 (2018). 29415231 PMC6251598 source
- Premisecitation
Beading or blebbing in neurites is a marker of dystrophic neurites in the AD brain.
“Beading or blebbing in neurites is a marker of dystrophic neurites in the AD brain (3, 42, 43).”
Quote in the paperSubstantial claim2 of 3 sources checked- cites [3] Choi SH, A three-dimensional human neural cell culture model of Alzheimer’s disease. Nature 515, 274– 278 (2014). 25307057 PMC4366007 source
The main text (page unavailable) describes beaded processes in the cultured cells as similar to dystrophic neurites found in AD brains, supporting the beading portion of the claim. It does not identify blebbing as a marker, and its observation is in a cell-culture model rather than directly in AD brain tissue. (LLM, conf=0.83)
Experimental — accuracy not yet measured - cites [42] Ivins KJ, Bui ET, Cotman CW, Beta-amyloid induces local neurite degeneration in cultured hippocampal neurons: evidence for neuritic apoptosis. Neurobiol Dis 5, 365– 378 (1998). 10069579 source
- cites [43] Yuan P., PLD3 affects axonal spheroids and network defects in Alzheimer’s disease. Nature 612, 328– 337 (2022). 36450991 PMC9729106 source
- Findingown data
Some of the downregulated genes were NPAS4 and PIWIL2.
“Some of the downregulated genes were NPAS4, a TF that protects against age-dependent accumulation of DNA damages and somatic mutations (76), and PIWIL2, one of the four known human Piwi proteins (Fig. 6A and Fig. S11B).”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [76] Pollina EA, A NPAS4-NuA4 complex couples synaptic activity to DNA repair. Nature 614, 732– 741 (2023). 36792830 PMC9946837 source
- Premisecitation
MiR-9/9*−124-induced neurons are primarily composed of neurons as previously characterized by single-cell RNA-seq.
“MiR-9/9*−124-induced neurons are primarily composed of neurons as previously characterized by single-cell RNA-seq (20, 29).”
Quote in the paperSubstantial claim2 of 2 sources checked- cites [20] Capano LS, Recapitulation of endogenous 4R tau expression and formation of insoluble tau in directly reprogrammed human neurons. Cell Stem Cell 29, 918– 932 e918 (2022). 35659876 PMC9176216 source
- cites [29] Cates K., Deconstructing Stepwise Fate Conversion of Human Fibroblasts to Neurons by MicroRNAs. Cell Stem Cell 28, 127– 140 e129 (2021). 32961143 PMC7796891 source
- Premisecitation
Disruption of genome stability and 3D genome organization are pathological steps in progression of AD.
“a recent study demonstrated that disruption of genome stability and 3D genome organization are pathological steps in progression of AD (79).”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [79] Dileep V., Neuronal DNA double-strand breaks lead to genome structural variations and 3D genome disruption in neurodegeneration. Cell 186, 4404– 4421 e4420 (2023). 37774679 PMC10697236 source
- Findingown data
Treatment of LOAD neurons with 3TC from PID16 to PID28 reduced the presence of single-stranded DNA (ssDNA) by ~50% at PID28.
“LOAD neurons were treated with 3TC from PID16 to PID28, and the presence of single-stranded DNA (ssDNA), an intermediate product of retrotransposition and its amount has been served as an indicator for RTE synthesis (86), were reduced by ~50% at PID28 (Fig. 7A).”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [86] De Cecco M., L1 drives IFN in senescent cells and promotes age-associated inflammation. Nature 566, 73– 78 (2019). 30728521 PMC6519963 source
- Findingown data
The 832 DEGs identified in LOAD spheroid RNA-seq overlap with the recently published gene list from snRNA-seq of postmortem human prefrontal cortex from individuals with AD, with an overlap of 233 signature protein-coding genes of neurodegeneration upregulated in excitatory neurons.
“we compared 832 DEGs identified in our LOAD spheroid RNA-seq dataset with the recently published gene list from single-nucleus RNA-seq (snRNA-seq) of postmortem human prefrontal cortex from individuals with AD (79). The signature protein-coding genes of neurodegeneration, upregulated in the excitatory neurons in the snRNA-seq, exhibited an overlap of 233 genes (Table S7, page 1).”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [79] Dileep V., Neuronal DNA double-strand breaks lead to genome structural variations and 3D genome disruption in neurodegeneration. Cell 186, 4404– 4421 e4420 (2023). 37774679 PMC10697236 source
- Premisecitation
In ADAD, genetic mutations drive AD pathogenesis.
“In ADAD, genetic mutations drive AD pathogenesis (36).”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [36] Knopman DS, Alzheimer disease. Nat Rev Dis Primers 7, 33 (2021). 33986301 PMC8574196 source
- Premisecitation
Upregulation of MMP genes has been linked to neuroinflammation in AD.
“upregulation of MMP genes has been linked neuroinflammation in AD (73, 85)”
Quote in the paperSubstantial claim1 of 2 sources checked- cites [73] Hoogmartens J., Investigation of the role of matrix metalloproteinases in the genetic etiology of Alzheimer’s disease. Neurobiol Aging 104, 105 e101– 105 e106 (2021). 33892965 source
The Introduction links MMPs to regulation of inflammatory processes in AD, and the Discussion describes upregulation of some MMP family members in neurological conditions. Neither passage specifically links MMP gene upregulation to neuroinflammation in AD; the paper’s own brain-tissue analysis found no detectable MMP13 protein expression in either AD patients or controls (section 3.3). Page numbers are unavailable in our copy. (LLM, conf=0.82)
Experimental — accuracy not yet measured - cites [85] Parks WC, Wilson CL, Lopez-Boado YS, Matrix metalloproteinases as modulators of inflammation and innate immunity. Nat Rev Immunol 4, 617– 629 (2004). 15286728 source
- Premisecitation
In AD, tau tangles contain a mixture of 3R- and 4R-tau isoforms to adopt an AD-characteristic topology.
“In AD, tau tangles contain a mixture of 3R- and 4R-tau isoforms to adopt an AD-characteristic topology (18, 19).”
Quote in the paperSubstantial claim2 of 2 sources checked- cites [18] Fitzpatrick AWP, Cryo-EM structures of tau filaments from Alzheimer’s disease. Nature 547, 185– 190 (2017). 28678775 PMC5552202 source
- cites [19] Espinoza M, de Silva R, Dickson DW, Davies P, Differential incorporation of tau isoforms in Alzheimer’s disease. J Alzheimers Dis 14, 1– 16 (2008). 18525123 PMC2882247 source
The Abstract reports both 3R- and 4R-tau in AD tangles, and the Discussion says the isoforms often co-localize, although their proportions vary among cases. Neither passage establishes that the mixture causes tangles to adopt an AD-characteristic topology. (LLM, conf=0.88)
Experimental — accuracy not yet measured
- Findingown data
Treating ADAD spheroids with β- or γ-secretase inhibitors reduced neuronal death.
“Lastly, treating ADAD spheroids with β- or γ-secretase inhibitors reduced neuronal death (Fig. S5C), demonstrating that ADAD 3D-CNs and spheroids undergo Aβ-dependent neurodegeneration.”
Quote in the paperSubstantial claim - Findingown data
ADAD spheroids showed a progressive increase in Aβ deposition from PID22 to PID28.
“Furthermore, ADAD spheroids showed a progressive increase in Aβ deposition from PID22 to PID 28 (Fig. S3D).”
Quote in the paperNot a substantial claim - Findingown data
Adjacent HC spheroids derived from independent controls remained largely unchanged.
“However, adjacent HC spheroids derived from independent controls remained largely unchanged (Fig. 2E, left), highlighting the degeneration was specifically manifested in ADAD spheroids.”
Quote in the paperSubstantial claim - Findingown data
ADAD spheroids had an increase in total volume of Aβ deposition compared to HC spheroids at both PID22 and PID28.
“Whole mount immunostaining the 6E10 antibody on PID22 and PID28 spheroids, followed by spheroid clearing, revealed that ADAD spheroids had an increase in total volume of Aβ deposition compared to HC spheroids at both time points (Fig. 1L and Fig. S3D).”
Quote in the paperSubstantial claim - Findingown data
The FRET signal in ADAD 3D-CNs was specifically localized to beaded dystrophic neurite regions.
“The FRET signal in ADAD 3D-CNs was specifically localized to beaded dystrophic neurite regions (Fig. 2D).”
Quote in the paperNot a substantial claim - Findingown data
Labeling spheroids with a non-fluorescent reporter (lacZ) also resulted in a reduction in the size of ADAD spheroids.
“Labeling spheroids with a non-fluorescent reporter (lacZ) also resulted in a reduction in the size of ADAD spheroids (Fig. S5B).”
Quote in the paperNot a substantial claim - Findingown data
760 downregulated DEGs were associated with cell adhesion, electron transport chain, NADP metabolism, and ubiquitin-dependent protein degradation.
“760 downregulated DEGs were associated with cell adhesion, electron transport chain, NADP metabolism, and ubiquitin-dependent protein degradation.”
Quote in the paperNot a substantial claim - Findingown data
Inhibiting age-associated retrotransposable elements (RTEs) in LOAD neurons reduced both Aβ deposition and neurodegeneration.
“Moreover, inhibiting age-associated retrotransposable elements (RTEs) in LOAD neurons reduced both Aβ deposition and neurodegeneration.”
Quote in the paperSubstantial claim - Findingown data
651 upregulated DEGs in ADAD spheroids were associated with GO terms including cell-cell signaling, cell adhesion, immune response, synapse organization, and extrinsic apoptotic pathway.
“651 upregulated DEGs were identified in ADAD spheroids associated with gene ontology (GO) terms including cell-cell signaling, cell adhesion, immune response, synapse organization, and extrinsic apoptotic pathway (Fig. 2I).”
Quote in the paperSubstantial claim - Findingown data
ADAD 3D-CNs contained higher amount of K63-ubiquitin in PHF1-positive neurites than HC 3D-CNs.
“By co-immunostaining using K63-linked ubiquitin and p-tau (PHF1) antibodies, we observed that ADAD 3D-CNs contained higher amount of K63-ubiquitin in PHF1-positive neurites than HC 3D-CNs (Fig. 2B).”
Quote in the paperSubstantial claim - Findingown data
Both LOAD and HC 3D-CNs contained extracellular Aβ deposits, as detected by 6E10 and 82E1 antibodies.
“Both LOAD and HC 3D-CNs contained extracellular Aβ deposits, as detected by 6E10 and 82E1 antibodies (Fig. 3A and Fig. S6B).”
Quote in the paperSubstantial claim - Findingown data
ADAD 3D-CNs had increased signals for MC1 antibody compared to HC 3D-CNs.
“ADAD 3D-CNs also had increased signals for MC1 antibody, which detects conformationally misfolded tau (40), compared to HC 3D-CNs (Fig. S4B).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [40] Jicha GA, Bowser R, Kazam IG, Davies P, Alz-50 and MC-1, a new monoclonal antibody raised to paired helical filaments, recognize conformational epitopes on recombinant tau. J Neurosci Res 48, 128– 132 (1997). 9130141 source
- Findingown data
ADAD 3D-CNs from four independent individuals consistently showed increased extracellular Aβ deposits (10-50 μm in diameter) compared to HC 3D-CNs.
“Intriguingly, ADAD 3D-CNs from four independent individuals consistently showed increased extracellular Aβ deposits (10–50 μm in diameter) compared to HC 3D-CNs (Fig. 1I and Fig. S3A).”
Quote in the paperSubstantial claim - Findingown data
3R- and 4R-tau isoforms were detected with an approximately equal ratio in both ADAD and age-matched HC 3D-CNs.
“3R- and 4R-tau isoforms were detected with an approximately equal ratio in both ADAD and age-matched HC 3D-CNs (Fig. S4F).”
Quote in the paperSubstantial claim - Findingown data
Spherical, beaded neurites positive for p-tau/K63-ubiquitin staining were detected in ADAD 3D-CNs and spheroids.
“We detected spherical, beaded neurites in ADAD 3D-CNs and spheroids that are positive for p-tau/K63-ubiquitin staining (Fig. 2B and S4C, see arrows).”
Quote in the paperSubstantial claim - Findingown data
ADAD 3D-CNs showed significantly higher signals of p-tau compared to HC 3D-CNs.
“However, ADAD 3D-CNs showed significantly (p < 0.05) higher signals of p-tau compared to HC 3D-CNs (Fig. 2A).”
Quote in the paperSubstantial claim - Findingown data
The presence of beaded dystrophic neurites in ADAD neurons was confirmed by high-resolution TEM.
“The presence of beaded dystrophic neurites in ADAD neurons was also confirmed by high-resolution TEM (Fig. 2C).”
Quote in the paperNot a substantial claim - Findingown data
LOAD spheroids from six independent individuals exhibited significantly higher amounts of extracellular Aβ deposits at PID28 compared to age-matched HC spheroids.
“Similarly, LOAD spheroids from six independent individuals exhibited significantly (p < 0.05) higher amounts of extracellular Aβ deposits at PID28 compared to age-matched HC spheroids (Fig. 3B, 3C and Fig. S7).”
Quote in the paperSubstantial claim - Findingown data
TEM with immunogold labeling against Aβ showed gold signals in the extracellular domain in ADAD spheroids.
“Additionally, transmission electron microscopy (TEM) with immunogold labeling against Aβ showed gold signals in the extracellular domain in ADAD spheroids (Fig. S3F).”
Quote in the paperSubstantial claim - Findingown data
Treating ADAD 3D-CNs with β-secretase inhibitor IV or γ-secretase inhibitor reduced p-tau (AT8) and K63-ubiquitin+ p-tau (PHF1) signals.
“Treating ADAD 3D-CNs with β-secretase inhibitor IV or γ-secretase inhibitor reduced p-tau (AT8) and K63-ubiquitin+ p-tau (PHF1) signals in ADAD 3D-CNs (Fig. S4G).”
Quote in the paperSubstantial claim - Findingown data
RNA-seq on PID25 spheroids from four ADAD and four HC detected 1411 differentially expressed genes.
“Comparing protein-coding gene expression between ADAD and HC spheroids, we detected 1411 differentially expressed genes (DEGs) (base mean >1, p < 0.05, |linear fold change| > 1.5) (Fig. 2H, Fig. S5F, and Table S4).”
Quote in the paperSubstantial claim - Findingown data
Aβ deposits were minimal in 3D-CNs derived from a young adult (22 years of age), but became more apparent with older age.
“Aβ deposits were minimal in 3D-CNs derived from a young adult (22 years of age), but became more apparent with older age (Fig S6A).”
Quote in the paperSubstantial claim - Findingown data
We did not detect the expression of non-neuronal cell markers in 3D-CNs, such as astrocyte, microglia, oligodendrocyte, Schwann cells, oligodendrocyte precursor cells (OPC), radial glia, stem cells, and myocytes.
“In contrast, we did not detect the expression of non-neuronal cell markers (35) in 3D-CNs, such as astrocyte, microglia, oligodendrocyte, Schwann cells, oligodendrocyte precursor cells (OPC), radial glia, stem cells, and myocytes (Fig. S2A).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [35] Mathys H., Single-cell atlas reveals correlates of high cognitive function, dementia, and resilience to Alzheimer’s disease pathology. Cell 186, 4365– 4385 e4327 (2023). 37774677 PMC10601493 source
- Findingown data
Treatment with β- or γ-secretase inhibitors before (but not subsequent to) Aβ deposit formation mitigated neuronal death.
“treatment with β- or γ-secretase inhibitors before (but not subsequent to) Aβ deposit formation mitigated neuronal death”
Quote in the paperSubstantial claim - Findingown data
Treating ADAD spheroids with β-secretase inhibitor IV or γ-secretase inhibitor DAPT from PID16 to 28 reduced Aβ deposition.
“Lastly, to confirm that Aβ deposits in ADAD spheroids resulted from APP cleavage, we treated the spheroids with β-secretase inhibitor IV or γ-secretase inhibitor DAPT from PID16 to 28, which reduced Aβ deposition (Fig. S3G).”
Quote in the paperSubstantial claim - Findingown data
ADAD CNs exhibited elevated amounts of insoluble p-tau after methanol fixation.
“Immunostaining using PHF1 p-tau antibody following methanol fixation indicated that ADAD CNs exhibited elevated amounts of insoluble p-tau (Fig. S4D).”
Quote in the paperSubstantial claim - Findingown data
ADAD spheroids at PID28 displayed higher numbers of Aβ deposits with volume sizes between 10,000-100,000 μm3.
“Similar to the sizes of Aβ deposits detected in ADAD 3D-CNs (Fig. S3B), ADAD spheroids at PID28 also displayed higher numbers of Aβ deposits with volume sizes between 10,000–100,000 μm3 (Fig. S3C).”
Quote in the paperNot a substantial claim - Findingown data
The expression for glial or other non-neuronal markers was not detectable in spheroids derived from neuronal reprogramming.
“The expression for glial or other non-neuronal markers was not detectable in spheroids derived from neuronal reprogramming (Fig. S2B).”
Quote in the paperSubstantial claim - Findingown data
TUNEL staining of multiple sections of PID28 spheroids confirmed higher cell death in ADAD compared to HC spheroids.
“TUNEL staining of multiple sections (top, middle, bottom) of PID28 spheroids confirmed higher cell death in ADAD compared to HC spheroids (Fig. 2F).”
Quote in the paperSubstantial claim - Findingown data
LOAD 3D-CNs (derived from six independent individuals with LOAD, aged 60-89) showed higher amounts of Aβ deposition compared to HC 3D-CNs from six age-matched control individuals.
“Yet, LOAD 3D-CNs (derived from six independent individuals with LOAD, aged 60–89) showed higher amounts of Aβ deposition compared to HC 3D-CNs from six age-matched control individuals (Fig. 3A).”
Quote in the paperSubstantial claim - Findingown data
LOAD 3D-CNs showed elevation of K63-ubiquitin+ pathogenic tau signals, primarily localized in beaded dystrophic neurites, compared to HC 3D-CNs.
“Additionally, LOAD 3D-CNs showed elevation of K63-ubiquitin+ pathogenic tau signals, primarily localized in beaded dystrophic neurites, compared to HC 3D-CNs (Fig 3F).”
Quote in the paperSubstantial claim - Findingown data
LOAD 3D-CNs showed higher signals for the MC1 tau antibody.
“LOAD 3D-CNs also showed higher signals for the MC1 tau antibody, which recognizes conformationally abnormal tau (40) (Fig. S8D).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [40] Jicha GA, Bowser R, Kazam IG, Davies P, Alz-50 and MC-1, a new monoclonal antibody raised to paired helical filaments, recognize conformational epitopes on recombinant tau. J Neurosci Res 48, 128– 132 (1997). 9130141 source
- Findingown data
LOAD 3D-CNs displayed elevated p-tau amounts compared to HC 3D-CNs, as assessed by immunostaining with AT8 and PHF1 antibodies.
“LOAD 3D-CNs displayed elevated p-tau amounts compared to HC 3D-CNs, as assessed by immunostaining with AT8 and PHF1 antibodies (Fig. 3E and Fig. S8C).”
Quote in the paperSubstantial claim - Findingown data
Among the most upregulated genes were matrix metallopeptidases (MMP) genes, including MMP1, MMP3 and MMP8.
“Among the most upregulated genes were matrix metallopeptidases (MMP) genes, including MMP1, MMP3 and MMP8 (Fig. 6A and Fig. S11B).”
Quote in the paperNot a substantial claim - Findingown data
LEP was among upregulated DEGs in LOAD spheroids.
“Other upregulated DEGs included LEP, which encodes for Leptin, that has been linked to the sporadic form of AD (75).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [75] Folch J., The role of leptin in the sporadic form of Alzheimer’s disease. Interactions with the adipokines amylin, ghrelin and the pituitary hormone prolactin. Life Sci 140, 19– 28 (2015). 25998028 source
- Findingown data
RNA-seq on PID25 spheroids reprogrammed from five independent LOAD fibroblast lines and five sex-/age-matched HC lines identified 832 differentially expressed genes.
“Comparing protein-coding gene expression between LOAD and HC spheroids, we identified 832 differentially expressed genes (DEGs) (p < 0.05, |linear fold change| > 1.5, base mean > 1) (Fig. 6A, Fig. S11B and Table S5).”
Quote in the paperSubstantial claim - Findingown data
Decreased density of presynaptic marker SYN1, SYT1, or SYT9-positive puncta in LOAD 3D-CNs compared to HC 3D-CNs.
“We detected decreased density of presynaptic marker SYN1 (Synapsin1), SYT1(Synaptotagmin1), or SYT9 (Synaptotagmin9)-positive puncta in LOAD 3D-CNs compared to HC 3D-CNs (Fig. S10A–C).”
Quote in the paperSubstantial claim - Findingown data
LOAD 3D-CNs showed seed-competent tau in the beaded neurite regions, as detected by FRET signals.
“Similar to ADAD 3D-CNs (Fig. 2D), LOAD 3D-CNs showed seed-competent tau in the beaded neurite regions, as detected by FRET signals (Fig. 3G).”
Quote in the paperSubstantial claim - Findingown data
Live-cell tracking over time showed neuronal loss of cell bodies and neurite length in LOAD 3D-CNs compared to HC 3D-CNs.
“consistent with live-cell tracking over time showing neuronal loss of cell bodies and neurite length in LOAD 3D-CNs compared to HC 3D-CNs (Fig. S9A, movie S1).”
Quote in the paperSubstantial claim - Findingown data
LOAD spheroids exhibited disintegration of neurites over time in comparison to HC spheroids.
“Lastly, LOAD spheroids exhibited disintegration of neurites over time in comparison to HC spheroids (Fig. 4D), a phenomenon similarly observed in LOAD 3D-CNs (Fig. S9A).”
Quote in the paperSubstantial claim - Findingown data
TUNEL staining showed an increase in cell death in LOAD spheroids compared to control spheroids.
“TUNEL staining, assessed in various spheroid sections (top, middle, bottom), showed an increase in cell death in LOAD spheroids compared to control spheroids (Fig. 4C).”
Quote in the paperSubstantial claim - Findingown data
By gene ontology, downregulated DEGs were enriched with terms linked to nucleosome assembly, telomere organization, and memory.
“By gene ontology (GO), downregulated DEGs were enriched with terms linked to nucleosome assembly, telomere organization, and memory (Fig. 6C).”
Quote in the paperNot a substantial claim - Findingown data
LOAD reprogrammed cells, but not age-matched HC cells, had an increase in cell death from PID20 to PID35.
“Sytox-Green assays revealed that the LOAD reprogrammed cells, but not age-matched HC cells, had an increase in cell death from PID20 to PID35.”
Quote in the paperSubstantial claim - Findingown data
SV2 amount was reduced in LOAD 3D-CNs compared with HC 3D-CNs at PID30.
“However, SV2 amount was reduced in LOAD 3D-CNs compared with HC 3D-CNs at PID30 (Fig. S10E).”
Quote in the paperSubstantial claim - Findingown data
Tau phosphorylation increased with the age of control donors.
“We observed that tau phosphorylation increased with the age of control donors (Fig. S8A).”
Quote in the paperNot a substantial claim - Findingown data
The amount of glutamate transporters labeled by VGLUT1 was not different between HC and LOAD 3D-CNs at PID20 or PID30.
“The amount of glutamate transporters labeled by VGLUT1 was not different between HC and LOAD 3D-CNs at PID20 or PID30 (Fig. S10F).”
Quote in the paperNot a substantial claim - Findingown data
Treatment at PID22 reduced Aβ deposition in LOAD spheroids either absent (with β-secretase inhibitor IV) or only modest (around 30% with DAPT) compared to DMSO-treated spheroids.
“The reduction in Aβ deposition in LOAD spheroid treated at PID22 was either absent (with β-secretase inhibitor IV) or only modest (around 30% with DAPT) compared to DMSO-treated spheroids.”
Quote in the paperSubstantial claim - Findingown data
Functional gene annotation analysis revealed inflammation, Alzheimer's disease, and cognition disorders are the top disease terms associated with all DEGs.
“Functional gene annotation analysis revealed inflammation, Alzheimer’s disease, and cognition disorders are the top disease terms associated with all DEGs (Fig. 6B).”
Quote in the paperSubstantial claim - Findingown data
Treating ADAD neurons with β- or γ-secretase inhibitors starting at PID16 was more effective in reducing neuronal death, Aβ deposition, and tauopathy compared to starting at PID22.
“Overall, treatment started at PID16 was more effective in reducing neuronal death (Fig. S5D and E), Aβ deposition (Fig. S3H and I), and tauopathy (Fig. S4H and I) compared to starting the treatment at PID22.”
Quote in the paperSubstantial claim - Findingown data
PCA revealed a separation of samples based on disease status (HC vs LOAD).
“Principle component analysis revealed a separation of samples based on disease status (HC vs LOAD) (Fig. S11A).”
Quote in the paperSubstantial claim - Findingown data
Phosphorylated tau (AT8) was detected in both LOAD 3D-CNs and age-matched HC 3D-CNs when reprogrammed cells acquired the neuronal identity at PID30 and PID35, but not at PID10 and 20.
“Phosphorylated tau (AT8) was detected in both LOAD 3D-CNs and age-matched HC 3D-CNs when reprogrammed cells acquired the neuronal identity at PID30 and PID35, but not at PID10 and 20 (Fig. S8B).”
Quote in the paperSubstantial claim - Findingown data
Upregulated DEGs in LOAD spheroids were enriched for pathways such as inflammatory response and immune response.
“Specifically, upregulated DEGs in LOAD spheroids were enriched for pathways such as inflammatory response and immune response (Fig. 6C).”
Quote in the paperSubstantial claim - Findingown data
ADAD spheroid-specific DEGs are enriched with GO terms such as regulation of ERK1/2 cascade, calcium-dependent cell-cell adhesion, and response to calcium ion.
“ADAD spheroid-specific DEGs were enriched with GO terms such as regulation of ERK1/2 cascade, calcium-dependent cell-cell adhesion, and response to calcium ion”
Quote in the paperNot a substantial claim - Findingown data
3TC-induced DEGs were associated with G-protein coupled receptor signaling pathway, immune response, and inflammatory response.
“GO analysis revealed that 3TC-induced DEGs were associated with G-protein coupled receptor signaling pathway, immune response, and inflammatory response (Fig. 7G)”
Quote in the paperSubstantial claim - Findingown data
Among the overlapping genes, 170 commonly upregulated genes are associated with aging, cell response to hypoxia, inflammatory response, and apoptosis.
“Among them, we found 170 commonly upregulated genes associated with aging, cell response to hypoxia, inflammatory response, and apoptosis (Fig. S11C).”
Quote in the paperSubstantial claim - Findingown data
LOAD spheroids exhibited an increase in DNA damage compared to age-matched HC spheroids.
“LOAD spheroids exhibited an increase in DNA damage compared to age-matched HC spheroids.”
Quote in the paperSubstantial claim - Findingown data
1382 genes uniquely associated with old HC spheroids were linked to telomere organization, DNA methylation, anterior/posterior axis specification, extracellular matrix disassembly, and cell motility.
“1382 genes uniquely associated with old HC spheroids were linked to telomere organization, DNA methylation, anterior/posterior axis specification, extracellular matrix disassembly, and cell motility (Fig. S12B and Table S9).”
Quote in the paperNot a substantial claim - Findingreasoning
3TC treatment in ADAD neurons and spheroids did not affect AD neuropathology.
“However, 3TC treatment in ADAD neurons and spheroids did not affect AD neuropathology”
Quote in the paperSubstantial claim - Findingown data
Subtle differences in TE expression could be detected between LOAD and age-matched HC spheroids.
“whereas subtle differences could be still detected between LOAD and age-matched HC (Fig. S11D and Table S5).”
Quote in the paperNot a substantial claim - Findingown data
The increase in DNA damage in LOAD spheroids was reduced by 3TC treatment.
“However, this increase in DNA damage was reduced by 3TC treatment (Fig 7E).”
- Also stated in: § Conclusion · plain
“This study revealed that 3TC treatment also reduces DNA damage in LOAD neurons.”
Quote in the paperSubstantial claim - Also stated in: § Conclusion · plain
- Findingown data
Aβ deposits and p-tau signals correlate with age even in neurons derived from healthy individuals.
“It is noteworthy that Aβ deposits and p-tau signals correlate with age even in neurons derived from healthy individuals (Fig. S6A and Fig. S8A)”
Quote in the paperSubstantial claim - Findingown data
LOAD spheroids are uniquely associated with cellular response to cAMP, interferon-gamma, and lipopolysaccharide.
“whereas LOAD spheroids were uniquely associated with cellular response to cAMP, interferon-gamma, and lipopolysaccharide (Fig. S12A and Table S8).”
Quote in the paperSubstantial claim - Findingown data
Knocking down MMP1, MMP3 and MMP8 individually or together in LOAD neurons did not affect neuronal death, Aβ deposition and p-tau amount.
“Knocking down MMP1, MMP3 and MMP8 individually or together in LOAD neurons did not affect neuronal death, Aβ deposition and p-tau amount (Fig. S13)”
Quote in the paperSubstantial claim - Findingown data
Treatment of old HC 3D-CNs and spheroids with 3TC produced a mild yet significant (p < 0.05) reduction of neuronal death and Aβ deposition.
“we treated old HC 3D-CNs and spheroids with 3TC and observed a mild yet significant (p < 0.05) reduction of neuronal death and Aβ deposition (Fig. S14A–D).”
Quote in the paperSubstantial claim - Findingown data
Treatment with 3TC reduced neuronal death in LOAD spheroids over the control H2O treatment.
“The treatment with 3TC also reduced neuronal death in LOAD spheroids over the control H2O treatment (Fig. 7B).”
Quote in the paperSubstantial claim - Findingown data
103 commonly dysregulated genes were identified between LOAD and ADAD spheroids, associated with regulation of synapse, autophagy, cytokine production, chromosome segregation, and voltage-gated potassium channels.
“103 commonly dysregulated genes were identified between LOAD and ADAD, which are associated with the regulation of synapse, autophagy, cytokine production, chromosome segregation, and voltage-gated potassium channels (Fig. S12A and Table S8).”
Quote in the paperSubstantial claim - Findingown data
RNA-Seq on LOAD spheroids derived from 4 individuals with LOAD treated with 3TC or water identified 534 DEGs (248 upregulated and 286 downregulated).
“we carried out RNA-Seq on LOAD spheroids derived from 4 individuals with LOAD and treated with 3TC or water (control). 534 DEGs (p < 0.05, |linear folder change| > 1.5, base mean > 1, protein-coding) were identified (248 upregulated and 286 downregulated DEGs) (Fig. 7F and Table S6).”
Quote in the paperSubstantial claim - Findingown data
MMP1, MMP3 and MMP8 are among the top upregulated genes in LOAD spheroids.
“As MMP1, MMP3 and MMP8 are among the top upregulated genes in LOAD spheroids (Fig. 6A and Fig. S11B)”
Quote in the paperSubstantial claim - Findingown data
1236 genes uniquely associated with LOAD spheroids were linked to extracellular matrix organization, cell-substrate adhesion, synapse assembly, cellular response to calcium ion, nervous system development, and learning.
“1236 genes uniquely associated with LOAD spheroids were linked to extracellular matrix organization, cell-substrate adhesion, synapse assembly, cellular response to calcium ion, nervous system development, and learning (Fig. S12B and Table S9).”
Quote in the paperNot a substantial claim - Findingown data
TE analysis from RNA-seq datasets of HC spheroids divided by age (36-61 years vs. 66-90 years) and LOAD spheroids (66-90 years of age) revealed differentially expressed TEs primarily between age groups.
“TE analysis from RNA-seq datasets of HC spheroids divided by age (36–61 years vs. 66–90 years) and LOAD spheroids (66–90 years of age) revealed differentially expressed TEs (DETEs) primarily between age groups (Fig. 6D and Table S5)”
Quote in the paperSubstantial claim - Interpretationown data
ADAD 3D-CNs and spheroids undergo Aβ-dependent neurodegeneration.
“demonstrating that ADAD 3D-CNs and spheroids undergo Aβ-dependent neurodegeneration.”
Quote in the paperSubstantial claim - Interpretationown data
ADAD neurons exhibit Aβ-dependent tau pathology.
“In summary, our findings indicate that ADAD neurons exhibit Aβ-dependent tau pathology.”
Quote in the paperSubstantial claim - Interpretationown data
Reprogrammed LOAD neurons exhibit Aβ-dependent neurodegeneration.
“Reprogrammed LOAD neurons exhibit Aβ-dependent neurodegeneration”
Quote in the paperSubstantial claim - Interpretationown data
Neurons generated by microRNA-based direct reprogramming of fibroblasts from individuals affected by ADAD and LOAD in a 3D environment effectively recapitulate key neuropathological features of AD.
“Here, we demonstrate that neurons generated by microRNA-based direct reprogramming of fibroblasts from individuals affected by autosomal dominant AD (ADAD) and LOAD in a three-dimensional (3D) environment, effectively recapitulate key neuropathological features of AD.”
Quote in the paperSubstantial claim - Study design and conductown data
When comparing Aβ amounts between LOAD and HC neurons, it is critical to match the donor ages.
“Thus, when comparing Aβ amounts between LOAD and HC neurons, it is critical to match the donor ages.”
Quote in the paperSubstantial claim - Interpretationown data
The capability of modeling the neurodegeneration phenotype in neurons derived from individuals with LOAD.
“Taken together, our findings demonstrate the capability of modeling the neurodegeneration phenotype in neurons derived from individuals with LOAD.”
Quote in the paperSubstantial claim - Study design and conductown data
The 6E10 Aβ antibody was validated in detecting the extracellular Aβ signal by examining 5XFAD mouse cortical sections, which were positive for extracellular Aβ signals in the cortex.
“We also validated the 6E10 Aβ antibody in detecting the extracellular Aβ signal by examining 5XFAD mouse cortical sections, which were positive for extracellular Ab signals in the cortex (Fig. 1M, right).”
Quote in the paperNot a substantial claim - Interpretationreasoning
The impairment of synaptic formation likely reflects the degenerative state of LOAD neurons.
“Because PID30 aligns with the time point when LOAD 3D-CNs are undergoing degeneration (Fig. 4A and Fig. S9A), the impairment of synaptic formation likely reflects the degenerative state of LOAD neurons.”
Quote in the paperSubstantial claim - Interpretationown data
Neurons derived from individuals with LOAD can effectively capture tau dysregulation.
“Altogether, these results suggest that neurons derived from individuals with LOAD can effectively capture tau dysregulation.”
Quote in the paperSubstantial claim - Interpretationreasoning
Directly reprogrammed LOAD neurons, even without ADAD-associated mutations, can capture age-associated neuropathological features.
“Directly reprogrammed LOAD neurons, even without ADAD-associated mutations, can capture age-associated neuropathological features.”
Quote in the paperSubstantial claim- Rests on an assumption: Transcriptomic overlap between LOAD spheroids and postmortem AD brains indicates that the spheroid model recapitulates LOAD neurodegeneration.
- Interpretationreasoning
The endogenous expression of both 3R and 4R tau isoforms is critical when using reprogrammed human neurons for modeling tau pathology in AD.
“Thus, the endogenous expression of both 3R and 4R tau isoforms is critical when using reprogrammed human neurons for modeling tau pathology in AD.”
Quote in the paperSubstantial claim - Interpretationown data
Findings highlight the potential of using patient-derived specific LOAD neurons to identify chemical or genetic interventions that may provide therapeutic benefits by increasing neuronal resilience against late-onset neurodegeneration in LOAD.
“In summary, our findings highlight the potential of using patient-derived specific LOAD neurons to identify chemical or genetic interventions that may provide therapeutic benefits by increasing neuronal resilience against late-onset neurodegeneration in LOAD.”
Quote in the paperSubstantial claim - Interpretationreasoning
The protective effect of 3TC likely represents an effect of perturbing an age-related mechanism that contributes to AD.
“As RTE difference was detected as a general age-associated process, the protective effect of 3TC likely represents an effect of perturbing an age-related mechanism that contributes to AD.”
Quote in the paperSubstantial claim - Interpretationown data
Findings demonstrate the effectiveness of miRNA-based neuronal reprogramming in recapitulating Aβ deposition, tauopathy, and neurodegeneration phenotypes in both ADAD and LOAD patient-derived neurons in a 3D environment.
“Findings in this study demonstrate the effectiveness of miRNA-based neuronal reprogramming in recapitulating Aβ deposition, tauopathy, and neurodegeneration phenotypes in both ADAD and LOAD patient-derived neurons in a 3D environment.”
Quote in the paperSubstantial claim- Rests on an assumption: Transcriptomic overlap between LOAD spheroids and postmortem AD brains indicates that the spheroid model recapitulates LOAD neurodegeneration.
- Interpretationreasoning
Neuron-intrinsic mechanisms influenced by the donor's genetic background and epigenetic signatures render susceptibility to neurons with aging.
“This suggests neuron-intrinsic mechanisms influenced by the donor’s genetic background and epigenetic signatures that render susceptibility to neurons with aging.”
Quote in the paperSubstantial claim - Interpretationown data
Age-associated alterations underlie the changes in APP metabolism and tau phosphorylation.
“suggesting the age-associated alterations underlying the changes in APP metabolism and tau phosphorylation.”
Quote in the paperSubstantial claim - Interpretationreasoning
MiRNA-induced AD neurons can serve as a platform to test risk genes in neurons.
“MiRNA-induced AD neurons then can serve as a platform to test risk genes in neurons.”
Quote in the paperSubstantial claim - Interpretationreasoning
The protective effect of RTE inhibition is more pronounced in the aged LOAD context.
“suggesting that the protective effect of RTE inhibition is more pronounced in the aged LOAD context.”
- Also stated in: § Conclusion · hedged
“Moreover, 3TC exerts a more robust effect in LOAD neurons compared with early-onset ADAD neurons, likely reflecting the general age-associated RTE dysregulation as a risk factor that is captured in LOAD spheroids.”
Quote in the paperSubstantial claim - Also stated in: § Conclusion · hedged
- Interpretationown data
Targeting few select DEGs was not sufficient to reverse AD phenotypes.
“indicating targeting few select DEGs was not sufficient to reverse AD phenotypes.”
Quote in the paperSubstantial claim - Interpretationown data
3TC suppresses neurodegeneration in LOAD neurons through regulating RTE-associated neuroinflammation.
“suggesting 3TC suppresses neurodegeneration in LOAD neurons through regulating RTE-associated neuroinflammation.”
Quote in the paperSubstantial claim
- Classified as probably not a substantial claim. 28
- May combine two claims. 41
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationAD is the most prevalent of tauopathies and is considered a secondary tauopathy because tau aggregation is regarded as a response to other pathological proteins or events (Aβ), but it is not driven by tau mutations.
“AD is the most prevalent of tauopathies and is considered a secondary tauopathy because tau aggregation is regarded as a response to other pathological proteins or events (Aβ), but it is not driven by tau mutations (19, 65).”
Quote in the paperNot a substantial claim2 of 2 sources checked- cites [19] Espinoza M, de Silva R, Dickson DW, Davies P, Differential incorporation of tau isoforms in Alzheimer’s disease. J Alzheimers Dis 14, 1– 16 (2008). 18525123 PMC2882247 source
The Introduction (page unavailable) explicitly lists AD among the primary tauopathies, contrary to the claim that this paper considers it a secondary tauopathy. The Discussion (page unavailable) says there are no known tau-gene mutations in sporadic AD, but it does not establish that tau aggregation is a response to Aβ or that AD is the most prevalent tauopathy. (LLM, conf=0.88)
Checked by a reasoning model — may be wrong.
Experimental — accuracy not yet measured - cites [65] Dugger BN, Dickson DW, Pathology of Neurodegenerative Diseases. Cold Spring Harb Perspect Biol 9, (2017). PMC5495060 28062563 source
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationAD is the leading cause of dementia characterized by key neuronal hallmarks: extracellular deposition of Aβ plaques, formation of intracellular neurofibrillary tangles, and neuronal loss.
“AD is the leading cause of dementia characterized by key neuronal hallmarks: extracellular deposition of Aβ plaques, formation of intracellular neurofibrillary tangles, and neuronal loss (1, 2).”
Quote in the paperNot a substantial claim1 of 2 sources checked- cites [1] Serrano-Pozo A, Frosch MP, Masliah E, Hyman BT, Neuropathological alterations in Alzheimer disease. Cold Spring Harb Perspect Med 1, a006189 (2011). 22229116 PMC3234452 source
- cites [2] Alzheimer A, Stelzmann RA, Schnitzlein HN, Murtagh FR, An English translation of Alzheimer’s 1907 paper, “Uber eine eigenartige Erkankung der Hirnrinde”. Clin Anat 8, 429– 431 (1995). 8713166 source
May combine two claims.
PremisecitationiPSC-derived neurons from individuals with AD exhibit increased production of Aβ42, active GSK-3β, phosphorylated tau, endosomal abnormalities, and oxidative stress.
“iPSC-derived neurons from individuals with AD exhibit increased production of Aβ42, active GSK-3β, phosphorylated tau, endosomal abnormalities, and oxidative stress (12–17)”
Quote in the paperSubstantial claim6 of 6 sources checked- cites [12] Israel MA, Probing sporadic and familial Alzheimer’s disease using induced pluripotent stem cells. Nature 482, 216– 220 (2012). 22278060 PMC3338985 source
The paper’s Abstract reports increased active GSK-3β, phosphorylated tau, amyloid-β(1–40), and enlarged early endosomes in neurons from two familial AD patients and one sporadic AD patient. It does not establish increased Aβ42: the Aβ(1–42) measurements were often below the assay’s detection range. The passages found also do not report oxidative stress in these AD-derived neurons. (LLM, conf=0.91)
Experimental — accuracy not yet measured - cites [13] Kondo T., Modeling Alzheimer’s disease with iPSCs reveals stress phenotypes associated with intracellular Abeta and differential drug responsiveness. Cell Stem Cell 12, 487– 496 (2013). 23434393 source
The Results and Discussion report oxidative stress in neurons from the APP-E693Δ case and one sporadic AD case. The Results find increased extracellular Aβ42 only in APP-V717L cells; Aβ42 was decreased in APP-E693Δ cells and unchanged extracellularly in the sporadic cases. Our copy does not report active GSK-3β, phosphorylated tau, or endosomal abnormalities in these neurons; it reports only that some Aβ-positive puncta stained for an endosomal marker. (LLM, conf=0.90)
Experimental — accuracy not yet measured - cites [14] Lomoio S., 3D bioengineered neural tissue generated from patient-derived iPSCs mimics time-dependent phenotypes and transcriptional features of Alzheimer’s disease. Mol Psychiatry, (2023). PMC11164539 37365240 source
The Results section, “Aβ42/40 ratio and extracellular Aβ42 deposition are elevated in FAD cultures” (page unavailable), reports an increased Aβ42/Aβ40 ratio in patient-derived familial AD cultures compared with controls; the Discussion also reports extracellular Aβ42 deposition. These findings support the amyloid component, though an increased ratio is not the same as increased Aβ42 production. Our copy does not report active GSK-3β, phosphorylated tau in the iPSC-derived neurons, endosomal abnormalities, or oxidative stress. (LLM, conf=0.88)
Experimental — accuracy not yet measured - cites [15] Ochalek A., Neurons derived from sporadic Alzheimer’s disease iPSCs reveal elevated TAU hyperphosphorylation, increased amyloid levels, and GSK3B activation. Alzheimers Res Ther 9, 90 (2017). 29191219 PMC5709977 source
The Results report higher Aβ1–42, phosphorylated tau, and active GSK-3β in AD-derived neurons. The Background reports enlarged early endosomes in AD neurons from an earlier study. But this paper demonstrates greater sensitivity to induced oxidative stress, not that its untreated AD-derived neurons exhibit elevated oxidative stress. (LLM, conf=0.85)
Experimental — accuracy not yet measured - cites [16] Raja WK, Self-Organizing 3D Human Neural Tissue Derived from Induced Pluripotent Stem Cells Recapitulate Alzheimer’s Disease Phenotypes. PLoS One 11, e0161969 (2016). 27622770 PMC5021368 source
The Results section (“Alzheimer’s disease phenotypes in organoids”; page not provided) reports increased Aβ in familial-AD organoids, increased phosphorylated tau, and enlarged endosomes; it also notes an earlier finding of increased secreted Aβ42 in neurons from one patient-derived line. The paper does not establish increased active GSK-3β or oxidative stress, and its own experiments concern 3D organoids rather than isolated iPSC-derived neurons. (LLM, conf=0.90)
Experimental — accuracy not yet measured - cites [17] Wang C., Gain of toxic apolipoprotein E4 effects in human iPSC-derived neurons is ameliorated by a small-molecule structure corrector. Nat Med 24, 647– 657 (2018). 29632371 PMC5948154 source
The Results report increased Aβ42 secretion and phosphorylated tau in human iPSC-derived apoE4/4 neurons compared with apoE3/3 neurons. The paper does not report increased active GSK-3β, endosomal abnormalities, or oxidative stress in those neurons; its comparison is by apoE genotype, not broadly between individuals with and without AD. Page numbers are not available in our copy. (LLM, conf=0.88)
Experimental — accuracy not yet measured
Classified as probably not a substantial claim.
PremisecitationRecent studies have directly induced neurons from individuals with AD through NGN2/ASCL1 overexpression.
“Recent studies have directly induced neurons from individuals with AD through NGN2/ASCL1 overexpression.”
Quote in the paperSubstantial claim3 of 3 sources checked- cites [11] Mertens J., Age-dependent instability of mature neuronal fate in induced neurons from Alzheimer’s patients. Cell Stem Cell 28, 1533– 1548 e1536 (2021). 33910058 PMC8423435 source
- cites [24] Herdy JR, Increased post-mitotic senescence in aged human neurons is a pathological feature of Alzheimer’s disease. Cell Stem Cell 29, 1637– 1652 e1636 (2022). 36459967 PMC10093780 source
- cites [25] Traxler L., Warburg-like metabolic transformation underlies neuronal degeneration in sporadic Alzheimer’s disease. Cell Metab 34, 1248– 1263 e1246 (2022). 35987203 PMC9458870 source
May combine two claims.
FindingcitationThe miRNA+TFs approach generated a highly enriched neuronal population as previously characterized by single cell and bulk RNA-seq and electrically active cells in 2D culture, showing inward and outward currents and multiple action potentials measured by whole-cell recording.
“This miRNA+TFs approach generated a highly enriched neuronal population as previously characterized by single cell and bulk RNA-seq (20, 28, 29) and electrically active cells in 2D culture, showing inward and outward currents and multiple action potentials measured by whole-cell recording (Fig. S1A).”
Quote in the paperSubstantial claim3 of 3 sources checked- cites [20] Capano LS, Recapitulation of endogenous 4R tau expression and formation of insoluble tau in directly reprogrammed human neurons. Cell Stem Cell 29, 918– 932 e918 (2022). 35659876 PMC9176216 source
Split into 2 atoms — 0 confirmed, 1 partially supported, 0 disputed, 0 misattributed, 1 unverifiable. Expand the claim to see per-atom verdicts.
Experimental — accuracy not yet measured - cites [28] Abernathy DG, MicroRNAs Induce a Permissive Chromatin Environment that Enables Neuronal Subtype-Specific Reprogramming of Adult Human Fibroblasts. Cell Stem Cell 21, 332– 348 e339 (2017). 28886366 PMC5679239 source
Split into 2 atoms — 1 confirmed, 1 partially supported, 0 disputed, 0 misattributed, 0 unverifiable. Expand the claim to see per-atom verdicts.
Experimental — accuracy not yet measured - cites [29] Cates K., Deconstructing Stepwise Fate Conversion of Human Fibroblasts to Neurons by MicroRNAs. Cell Stem Cell 28, 127– 140 e129 (2021). 32961143 PMC7796891 source
Split into 2 atoms — 1 confirmed, 0 partially supported, 0 disputed, 0 misattributed, 1 unverifiable. Expand the claim to see per-atom verdicts.
Experimental — accuracy not yet measured
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationDownregulation of KCNIP3 in the brains of individuals with AD is associated with memory and learning.
“Downregulation of KCNIP3 in the brains of individuals with AD is associated with memory and learning (63).”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [63] Pereira AC, Age and Alzheimer’s disease gene expression profiles reversed by the glutamate modulator riluzole. Mol Psychiatry 22, 296– 305 (2017). 27021815 PMC5042881 source
The Results section reports that several genes are diminished in AD tissue, and the Discussion links some of those genes to learning and memory. Neither section identifies KCNIP3 or addresses whether its downregulation is associated with learning and memory; searches for KCNIP3 and its alternative names found no matching passage in our copy. (LLM, conf=0.73)
Experimental — accuracy not yet measured
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationThe expression of SST and KCNIP1 is reduced in the brains of individuals with AD, and downregulation of these two genes has been implicated in mediating the formation of Aβ oligomers.
“The expression of SST (61) and KCNIP1 (62) is reduced in the brains of individuals with AD, and downregulation of these two genes has been implicated in mediating the formation of Aβ oligomers.”
Quote in the paperNot a substantial claim2 of 2 sources checked- cites [61] Saiz-Sanchez D., Somatostatin, Olfaction, and Neurodegeneration. Front Neurosci 14, 96 (2020). 32140092 PMC7042373 source
The 'Somatostatin and Alzheimer’s Disease' section reports reduced SST in AD and says SST can encourage Aβ oligomer formation. It does not say that SST downregulation mediates oligomer formation. KCNIP1 is attached to a different citation in the citing sentence, so it is not assessed against this source. (LLM, conf=0.86)
Experimental — accuracy not yet measured - cites [62] Miller JA, Woltjer RL, Goodenbour JM, Horvath S, Geschwind DH, Genes and pathways underlying regional and cell type changes in Alzheimer’s disease. Genome Med 5, 48 (2013). 23705665 PMC3706780 source
Table 3 in the Results lists KCNIP1 as downregulated with AD in the CA1 hippocampal region (fold change −1.77), supporting the part of the sentence attached to this citation. The paper does not implicate KCNIP1 downregulation in Aβ oligomer formation; SST has a separate citation in the citing sentence. (LLM, conf=0.88)
Experimental — accuracy not yet measured
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationCCL20, CSF3 and IL10 are associated with the inflammatory response in AD.
“CCL20 (55), CSF3 (56) and IL10 (57) are associated with the inflammatory response in AD.”
Quote in the paperNot a substantial claim3 of 3 sources checked- cites [55] Wang Y., Interleukin-1beta induces blood-brain barrier disruption by downregulating Sonic hedgehog in astrocytes. PLoS One 9, e110024 (2014). 25313834 PMC4196962 source
Citation 55 is attached to CCL20, so this verdict does not assess CSF3 or IL10. The Results section reports that IL-1β increased CCL20 in astrocytes and links these pro-inflammatory chemokines to neuroinflammation. The Discussion mentions Alzheimer’s disease among conditions associated with elevated IL-1β, but the paper does not directly establish a CCL20–inflammatory-response association in AD; no page number is available in our copy. (LLM, conf=0.85)
Experimental — accuracy not yet measured - cites [56] Zhang W, Zhang Y, Hu N, Wang A, Alzheimer’s disease-associated inflammatory pathways might contribute to osteoporosis through the interaction between PROK2 and CSF3. Front Neurol 13, 990779 (2022). 36203970 PMC9531648 source
- cites [57] Guillot-Sestier MV, Il10 deficiency rebalances innate immunity to mitigate Alzheimerlike pathology. Neuron 85, 534– 548 (2015). 25619654 PMC4352138 source
May combine two claims.
PremisecitationNeurons directly induced from individuals with AD through NGN2/ASCL1 overexpression exhibited age-associated dysregulations such as instability of mature neuronal fate, increased cellular senescence, and metabolic shifts.
“These neurons exhibited several age-associated dysregulations such as instability of mature neuronal fate, increased cellular senescence, and metabolic shifts (11, 24, 25)”
Quote in the paperSubstantial claim3 of 3 sources checked- cites [11] Mertens J., Age-dependent instability of mature neuronal fate in induced neurons from Alzheimer’s patients. Cell Stem Cell 28, 1533– 1548 e1536 (2021). 33910058 PMC8423435 source
The Results sections on direct iN conversion and stress-related de-differentiation report Ngn2/Ascl1 conversion of AD patient fibroblasts, loss of mature neuronal identity, and changes in genes associated with energy metabolism. The Results section on immature transcriptional programs finds enrichment of senescence-related pathways, but does not establish increased cellular senescence in the neurons themselves; the epigenetic-aging analysis also reports no accelerated aging relative to controls. Page numbers are unavailable in our copy. (LLM, conf=0.86)
Experimental — accuracy not yet measured - cites [24] Herdy JR, Increased post-mitotic senescence in aged human neurons is a pathological feature of Alzheimer’s disease. Cell Stem Cell 29, 1637– 1652 e1636 (2022). 36459967 PMC10093780 source
- cites [25] Traxler L., Warburg-like metabolic transformation underlies neuronal degeneration in sporadic Alzheimer’s disease. Cell Metab 34, 1248– 1263 e1246 (2022). 35987203 PMC9458870 source
The Results section describes generating AD-patient-derived neurons by overexpressing Ascl1 and Ngn2. The Introduction and Discussion describe loss of mature neuronal identity and a shift toward aerobic glycolysis. The passages do not establish increased cellular senescence in these neurons; preserving donors’ aging signatures is not the same finding. (LLM, conf=0.86)
Experimental — accuracy not yet measured
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationA recent proteomic study identified HGF protein as one of the elevated proteins in the ADAD brain compared with cognitively normal individuals.
“A recent proteomic study identified HGF protein as one of the elevated proteins in the ADAD brain compared with cognitively normal individuals (Fig. S5F) (58).”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [58] Sung YJ, Proteomics of brain, CSF, and plasma identifies molecular signatures for distinguishing sporadic and genetic Alzheimer’s disease. Sci Transl Med 15, eabq5923 (2023). 37406134 PMC10803068 source
The Results section on sporadic AD identifies HGF among proteins associated with AD in brain tissue. The ADAD Results section reports altered brain proteins relative to cognitively normal controls and says most sporadic-AD-associated proteins showed stronger alterations in ADAD, but our copy does not specifically say that HGF was elevated in ADAD brain. (LLM, conf=0.84)
Experimental — accuracy not yet measured
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationAmong the most upregulated DEGs, higher amounts of MMP3, IBSP, or TAGLN in the brain have been linked to increased risk of AD.
“Among the most upregulated DEGs, higher amounts of MMP3 (52), IBSP (53), or TAGLN (54) in the brain have been linked to increased risk of AD.”
Quote in the paperNot a substantial claim3 of 3 sources checked- cites [52] Pentz R., A new role for matrix metalloproteinase-3 in the NGF metabolic pathway: Proteolysis of mature NGF and sex-specific differences in the continuum of Alzheimer’s pathology. Neurobiol Dis 148, 105150 (2021). 33130223 PMC7856186 source
The Results section, “Alterations of MMP-3 levels in the human cerebral cortex through the continuum of AD pathology” (page not supplied), reports higher brain MMP-3 in AD, MCI, and cognitively normal people with AD-like pathology. It also links higher MMP-3 to greater amyloid burden. These findings support an association with AD pathology, but the paper does not show that higher brain MMP-3 predicts an increased risk of developing AD. Citation (52) is attached to MMP3, not IBSP or TAGLN. (LLM, conf=0.84)
Experimental — accuracy not yet measured - cites [53] Frick EA, Serum proteomics reveals APOE dependent and independent protein signatures in Alzheimer’s disease. medRxiv, (2023). source
The Results section on Mendelian randomization reports that higher IBSP was associated with increased risk of late-onset AD in serum-based analyses. It does not establish that higher IBSP amounts in the brain are linked to that risk; the brain-proteome comparison does not identify IBSP as such a finding. No page number is available in our copy. (LLM, conf=0.86)
Experimental — accuracy not yet measured - cites [54] Gonzalez-Rodriguez M., Human amygdala involvement in Alzheimer’s disease revealed by stereological and dia-PASEF analysis. Brain Pathol 33, e13180 (2023). 37331354 PMC10467039 source
Table 2 in the Results lists TAGLN (transgelin) as an upregulated protein in AD amygdala samples, with a fold change of 1.82. The paper reports differential protein expression, not TAGLN as an upregulated DEG, and does not establish that higher TAGLN increases the risk of developing AD. Citation (54) is attached to TAGLN, so the MMP3 and IBSP claims are not assessed here. (LLM, conf=0.87)
Experimental — accuracy not yet measured
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationSeveral studies suggest that increased tau phosphorylation generally reflects brain aging.
“Several studies suggest that increased tau phosphorylation generally reflects brain aging (67, 68).”
Quote in the paperNot a substantial claim1 of 2 sources checked- cites [67] Scholl M., PET Imaging of Tau Deposition in the Aging Human Brain. Neuron 89, 971– 982 (2016). 26938442 PMC4779187 source
The Introduction and Discussion report that tau pathology occurs in healthy aging and that advancing age predicts greater medial temporal tau accumulation. But the Discussion distinguishes this age-related pattern from tau spread into other cortical regions, which it associates with amyloid burden. The paper therefore supports an aging association for tau pathology, not the unqualified claim that increased tau phosphorylation generally reflects brain aging. (LLM, conf=0.84)
Experimental — accuracy not yet measured - cites [68] Sjogren M., Tau and Abeta42 in cerebrospinal fluid from healthy adults 21–93 years of age: establishment of reference values. Clin Chem 47, 1776– 1781 (2001). 11568086 source
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationOther DEGs include DOC2A and FOXF1 that have been recently identified by a recent GWAS study as genes whose variants were linked to AD.
“Other DEGs also include DOC2A and FOXF1 (Table S5) that have been recently identified by a recent GWAS study as genes whose variants were linked to AD (78).”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [78] Bellenguez C., New insights into the genetic etiology of Alzheimer’s disease and related dementias. Nat Genet 54, 412– 436 (2022). 35379992 PMC9005347 source
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationDepletion of piwi proteins was shown to increase transposable element (TE) transcription in a Drosophila model of tauopathy.
“Depletion of piwi proteins was shown to increase transposable element (TE) transcription in a Drosophila model of tauopathy (77).”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [77] Sun W, Samimi H, Gamez M, Zare H, Frost B, Pathogenic tau-induced piRNA depletion promotes neuronal death through transposable element dysregulation in neurodegenerative tauopathies. Nat Neurosci 21, 1038– 1048 (2018). 30038280 PMC6095477 source
The Results section, “Piwi/piRNA depletion is a mechanistic driver of transposable element transcription in tauopathy,” reports that neuronal piwi knockdown elevated TE transcript levels in Drosophila. However, that knockdown experiment was performed without transgenic tau, so it does not directly show the effect of induced piwi depletion within tau-expressing flies. (LLM, conf=0.82)
Experimental — accuracy not yet measured
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationMMPs are known to be linked to extracellular protein degradation including Aβ, whereas MMPs upregulated in AD may also confer neuroinflammation, synaptic dysfunction, and neuronal death.
“MMPs are known to be linked to extracellular protein degradation including Aβ (72), whereas MMPs upregulated in AD may also confer neuroinflammation, synaptic dysfunction, and neuronal death (73, 74).”
Quote in the paperNot a substantial claim3 of 3 sources checked- cites [72] White AR, Degradation of the Alzheimer disease amyloid beta-peptide by metal-dependent up-regulation of metalloprotease activity. J Biol Chem 281, 17670– 17680 (2006). 16648635 source
- cites [73] Hoogmartens J., Investigation of the role of matrix metalloproteinases in the genetic etiology of Alzheimer’s disease. Neurobiol Aging 104, 105 e101– 105 e106 (2021). 33892965 source
- cites [74] Zipfel P, Rochais C, Baranger K, Rivera S, Dallemagne P, Matrix Metalloproteinases as New Targets in Alzheimer’s Disease: Opportunities and Challenges. J Med Chem 63, 10705– 10725 (2020). 32459966 source
The 'General implication of MMPs in AD' section identifies MMPs as Aβ-degrading enzymes and discusses AD-associated MMPs in relation to neuroinflammation and neuronal death. It attributes synaptic deficits to Aβ accumulation, however, rather than stating that upregulated MMPs cause synaptic dysfunction. No page numbers are available in our copy. (LLM, conf=0.84)
Experimental — accuracy not yet measured
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationNPAS4 is a TF that protects against age-dependent accumulation of DNA damages and somatic mutations.
“NPAS4, a TF that protects against age-dependent accumulation of DNA damages and somatic mutations (76)”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [76] Pollina EA, A NPAS4-NuA4 complex couples synaptic activity to DNA repair. Nature 614, 732– 741 (2023). 36792830 PMC9946837 source
The ‘Age-dependent mutations at NPAS4 sites’ section reports that NPAS4–NuA4-bound sites in mouse hippocampal neurons were relatively protected from mutations accumulating with age. The ‘NPAS4–NuA4 disruption impairs DSB repair’ section also reports more DNA double-strand breaks after NPAS4 deletion. The claim is broader than these findings: the mutation result concerns specific bound sites, and the paper does not establish protection against age-dependent accumulation of DNA damage generally. (LLM, conf=0.86)
Experimental — accuracy not yet measured
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationSV2 is a marker for mature synaptic vesicles and regulates presynaptic release.
“SV2, a marker for mature synaptic vesicles and regulates presynaptic release (70, 71)”
Quote in the paperNot a substantial claim2 of 2 sources checked- cites [70] Wen Z., Synaptic dysregulation in a human iPS cell model of mental disorders. Nature 515, 414– 418 (2014). 25132547 PMC4501856 source
- cites [71] Chang WP, Sudhof TC, SV2 renders primed synaptic vesicles competent for Ca2+ -induced exocytosis. J Neurosci 29, 883– 897 (2009). 19176798 PMC2693337 source
The Introduction (page not provided) identifies SV2 as a component of all vertebrate synaptic vesicles, and “The function of SV2” reports that deleting it substantially reduces release. The paper does not specifically identify SV2 as a marker for mature synaptic vesicles; its discussion of a vesicle maturation step does not establish that marker claim. (LLM, conf=0.84)
Experimental — accuracy not yet measured
Classified as probably not a substantial claim.
PremisecitationMethanol fixation has previously been used to remove soluble proteins, including tau.
“Methanol fixation has previously been used to remove soluble proteins, including tau (20, 46).”
Quote in the paperSubstantial claim2 of 2 sources checked- cites [20] Capano LS, Recapitulation of endogenous 4R tau expression and formation of insoluble tau in directly reprogrammed human neurons. Cell Stem Cell 29, 918– 932 e918 (2022). 35659876 PMC9176216 source
- cites [46] Guo JL, Unique pathological tau conformers from Alzheimer’s brains transmit tau pathology in nontransgenic mice. J Exp Med 213, 2635– 2654 (2016). 27810929 PMC5110027 source
The Immunocytochemistry methods state that neurons were fixed with methanol to remove soluble tau. This supports the tau example, but the passage does not say that methanol fixation was used to remove soluble proteins more generally. (LLM, conf=0.83)
Experimental — accuracy not yet measured
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationPathogenic tau has been linked to synaptic dysfunction and loss.
“Pathogenic tau has been linked to synaptic dysfunction and loss (69).”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [69] Guerrero-Munoz MJ, Gerson J, Castillo-Carranza DL, Tau Oligomers: The Toxic Player at Synapses in Alzheimer’s Disease. Front Cell Neurosci 9, 464 (2015). 26696824 PMC4667007 source
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationIn AD, tau protein becomes hyperphosphorylated, resulting in tau dissociating from microtubules and forming insoluble tau aggregates in the neurites and cell bodies.
“In AD, tau protein becomes hyperphosphorylated, resulting in tau dissociating from microtubules and forming insoluble tau aggregates in the neurites and cell bodies (3, 37).”
Quote in the paperNot a substantial claim1 of 2 sources checked- cites [3] Choi SH, A three-dimensional human neural cell culture model of Alzheimer’s disease. Nature 515, 274– 278 (2014). 25307057 PMC4366007 source
The main text says tau is hyperphosphorylated in AD and reports insoluble p-tau aggregates in the cell bodies and neurite-like structures of its 3D culture model. It does not state that hyperphosphorylation causes tau to dissociate from microtubules, so that mechanistic step is unsupported by our copy. Page numbers are not provided. (LLM, conf=0.86)
Experimental — accuracy not yet measured - cites [37] Trojanowski JQ, Lee VM, The role of tau in Alzheimer’s disease. Med Clin North Am 86, 615– 627 (2002). 12168561 source
May combine two claims.
PremisecitationTau FRET sensors composed of tau P301S-Ruby2 and -Clover reporters aggregate and transmit FRET signals in the presence of seed-competent tau species.
“These reporter proteins aggregate and transmit FRET signals in the presence of seed-competent tau species (44, 45).”
Quote in the paperSubstantial claim2 of 2 sources checked- cites [44] Hitt BD, Ultrasensitive tau biosensor cells detect no seeding in Alzheimer’s disease CSF. Acta Neuropathol Commun 9, 99 (2021). 34039426 PMC8152020 source
The Results section (‘Construction of tau RD(P301S) v2H biosensor cells’; page not available) reports that the biosensors aggregate and produce FRET upon exposure to tau seeds. But the Methods section (‘Generation of biosensor cell lines’; page not available) identifies the reporters as tau RD(P301S) fused to mClover3 and mCerulean3, not Ruby2 and Clover. (LLM, conf=0.90)
Experimental — accuracy not yet measured - cites [45] Lam AJ, Improving FRET dynamic range with bright green and red fluorescent proteins. Nat Methods 9, 1005– 1012 (2012). 22961245 PMC3461113 source
The Results sections on mRuby2 and RhoA responses show that Clover–mRuby2 functions as a FRET pair in other reporters. Our copy does not address tau P301S reporters, aggregation, or responses to seed-competent tau species; searches for those terms found no supporting passage. (LLM, conf=0.76)
Experimental — accuracy not yet measured
May combine two claims.
Findingown dataBoth 3R- and 4R-tau isoforms were detected with no noticeable difference in the 3R to 4R ratio between LOAD and HC 3D-CNs.
“Both 3R- and 4R-tau isoforms were detected with no noticeable difference in the 3R to 4R ratio between LOAD and HC 3D-CNs, consistent with the concept that AD is a mixed 3R/4R tauopathy (65, 66) (Fig. 3D).”
Quote in the paperNot a substantial claim2 of 2 sources checkedClassified as probably not a substantial claim.
PremisecitationDysregulation of retrotransposon elements (RTEs) in aging may trigger inflammatory responses.
“It was previously shown that dysregulation of retrotransposon elements (RTEs) in aging may trigger inflammatory responses (86–88)”
Quote in the paperSubstantial claim3 of 3 sources checked- cites [86] De Cecco M., L1 drives IFN in senescent cells and promotes age-associated inflammation. Nature 566, 73– 78 (2019). 30728521 PMC6519963 source
- cites [87] Gorbunova V., The role of retrotransposable elements in ageing and age-associated diseases. Nature 596, 43– 53 (2021). 34349292 PMC8600649 source
- cites [88] Lopez-Otin C, Blasco MA, Partridge L, Serrano M, Kroemer G, Hallmarks of aging: An expanding universe. Cell 186, 243– 278 (2023). 36599349 source
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationCounteracting aging pathways has been shown to lower age- and disease stage-dependent neurodegeneration in a patient-derived Huntington disease model.
“Indeed, counteracting aging pathways has been shown to lower age- and disease stage-dependent neurodegeneration in a patient-derived Huntington disease model (32).”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [32] Oh YM, Age-related Huntington’s disease progression modeled in directly reprogrammed patient-derived striatal neurons highlights impaired autophagy. Nat Neurosci 25, 1420– 1433 (2022). 36303071 PMC10162007 source
May combine two claims.
PremisecitationPrevious studies focused on overexpressing mutant APP and Presenilin in REN stem cells grown in a 3D culture, which differs from patient-specific LOAD model that relies on endogenous recapitulation of AD-associated phenotypes as provided in this study.
“As for human neurons, previous studies focused on overexpressing mutant APP and Presenilin in REN stem cells grown in a 3D culture (3), which differs from patient-specific LOAD model that relies on the endogenous recapitulation of AD-associated phenotypes as provided in this study.”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [3] Choi SH, A three-dimensional human neural cell culture model of Alzheimer’s disease. Nature 515, 274– 278 (2014). 25307057 PMC4366007 source
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationBrain atrophy resulting from neuronal loss is a pathologic feature in LOAD.
“Brain atrophy resulting from neuronal loss is a pathologic feature in LOAD (36).”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [36] Knopman DS, Alzheimer disease. Nat Rev Dis Primers 7, 33 (2021). 33986301 PMC8574196 source
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationAD is a neurodegenerative disorder marked by neuronal loss, especially in the hippocampus and cerebral cortex.
“AD is a neurodegenerative disorder marked by neuronal loss, especially in the hippocampus and cerebral cortex (49, 50).”
Quote in the paperNot a substantial claim2 of 2 sources checked- cites [49] Golde TE, The therapeutic importance of understanding mechanisms of neuronal cell death in neurodegenerative disease. Mol Neurodegener 4, 8 (2009). 19193222 PMC2644308 source
The Introduction identifies AD as a neurodegenerative disease, and the section on the natural history of neurodegenerative diseases describes neuronal loss as part of its progression (Figure 1). The passages do not identify the hippocampus or cerebral cortex as sites of especially marked loss, so that anatomical detail is unsupported by our copy. (LLM, conf=0.87)
Experimental — accuracy not yet measured - cites [50] Gorman AM, Neuronal cell death in neurodegenerative diseases: recurring themes around protein handling. J Cell Mol Med 12, 2263– 2280 (2008). 18624755 PMC4514105 source
The Introduction identifies AD as a neurodegenerative disease, and the Alzheimer’s disease section describes neuronal loss in hippocampal regions. The paper does not state that neuronal loss is especially prominent in the cerebral cortex generally, although its references mention loss of entorhinal cortex neurons. Page numbers are unavailable in our copy. (LLM, conf=0.84)
Experimental — accuracy not yet measured
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationGenes involved in APP metabolism were identified as AD risk genes.
“Moreover, genes involved in APP metabolism were identified as AD risk genes (78).”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [78] Bellenguez C., New insights into the genetic etiology of Alzheimer’s disease and related dementias. Nat Genet 54, 412– 436 (2022). 35379992 PMC9005347 source
May combine two claims.
PremisecitationIt typically requires additional expression of human tau harboring mutations associated with primary tauopathy or seeding mutant human APP knock-in mouse brain with human AD brain-derived tau to develop tau pathology in mouse models.
“It typically requires additional expression of human tau harboring mutations associated with primary tauopathy (94–96) or seeding mutant human APP knock-in mouse brain with human AD brain-derived tau (97) to develop the tau pathology.”
Quote in the paperSubstantial claim4 of 4 sources checked- cites [94] Dawson TM, Golde TE, Lagier-Tourenne C, Animal models of neurodegenerative diseases. Nat Neurosci 21, 1370– 1379 (2018). 30250265 PMC6615039 source
The sections on genetic-based tau and amyloid models (page not provided) say that mice overexpressing human tau with FTD-linked mutations develop tau pathology, while amyloid models generally lack prominent tau accumulation unless seeded with AD tau. The copy does not specify that the seeded mice are mutant human APP knock-in mice or that the tau is derived from human AD brain. (LLM, conf=0.85)
Experimental — accuracy not yet measured - cites [95] King A, The search for better animal models of Alzheimer’s disease. Nature 559, S13– S15 (2018). 30046083 source
In the section on mouse models (page not provided), the paper says that PD-APP mice do not develop tau tangles and that some models use tau mutations associated with frontotemporal dementia, sometimes alongside mutations that produce amyloid plaques. It does not describe seeding mutant APP knock-in mouse brains with human Alzheimer’s disease brain-derived tau. (LLM, conf=0.86)
Experimental — accuracy not yet measured - cites [96] Reardon S, Frustrated Alzheimer’s researchers seek better lab mice. Nature 563, 611– 612 (2018). 30482928 source
The cited portion of the sentence concerns seeding mutant human APP knock-in mouse brains with human Alzheimer’s disease brain-derived tau. The article discusses mice engineered to show amyloid plaques and tau tangles (p. 2), but does not describe that seeding method; searches for tau seeding and APP knock-in mice found no supporting passage. (LLM, conf=0.74)
Experimental — accuracy not yet measured - cites [97] He Z., Amyloid-beta plaques enhance Alzheimer’s brain tau-seeded pathologies by facilitating neuritic plaque tau aggregation. Nat Med 24, 29– 38 (2018). 29200205 PMC5760353 source
May combine two claims.
PremisecitationMouse models overexpressing gene mutations associated with ADAD offer valuable insights into Aβ plaque formation but show no obvious tau pathology.
“Although mouse models overexpressing gene mutations associated with ADAD offer valuable insights into Aβ plaque formation (93), they show no obvious tau pathology.”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [93] Oakley H., Intraneuronal beta-amyloid aggregates, neurodegeneration, and neuron loss in transgenic mice with five familial Alzheimer’s disease mutations: potential factors in amyloid plaque formation. J Neurosci 26, 10129– 10140 (2006). 17021169 PMC6674618 source
Classified as probably not a substantial claim. May combine two claims.
PremisecitationSuppression of RTE reduces tau activation and tau-induced neurotoxicity in tau transgenic Drosophila.
“suppression of RTE was shown to reduce tau activation and tau-induced neurotoxicity in tau transgenic Drosophila (77).”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [77] Sun W, Samimi H, Gamez M, Zare H, Frost B, Pathogenic tau-induced piRNA depletion promotes neuronal death through transposable element dysregulation in neurodegenerative tauopathies. Nat Neurosci 21, 1038– 1048 (2018). 30038280 PMC6095477 source
The Results section on dietary restriction and reverse-transcriptase inhibition reports that reducing transposable-element mobilization in tau-transgenic Drosophila also reduced tau-induced neuronal death. It does not report that these interventions reduced tau activation; the reduced reporter activation described there measures transposable-element mobilization, not tau activation. (LLM, conf=0.88)
Experimental — accuracy not yet measured
Classified as probably not a substantial claim.
PremisecitationAD is also associated with progressive neurite degeneration.
“Since AD is also associated with progressive neurite degeneration (51), we examined neurite outgrowth in spheroids.”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [51] Siskova Z., Dendritic structural degeneration is functionally linked to cellular hyperexcitability in a mouse model of Alzheimer’s disease. Neuron 84, 1023– 1033 (2014). 25456500 source
Classified as probably not a substantial claim.
PremisecitationEctopic retrotransposon activation has been associated with DNA damage and genomic instability.
“Since ectopic retrotransposon activation has been associated with DNA damage and genomic instability (87, 90)”
Quote in the paperSubstantial claim2 of 2 sources checked- cites [87] Gorbunova V., The role of retrotransposable elements in ageing and age-associated diseases. Nature 596, 43– 53 (2021). 34349292 PMC8600649 source
- cites [90] Gasior SL, Wakeman TP, Xu B, Deininger PL, The human LINE-1 retrotransposon creates DNA double-strand breaks. J Mol Biol 357, 1383– 1393 (2006). 16490214 PMC4136747 source
May combine two claims.
Findingown dataThe 832 LOAD spheroid DEGs overlap with bulk RNA-seq datasets from various brain regions in individuals with AD, GO terms related to apoptosis/neurodegeneration, and AD risk genes from Alzgene database, with overlaps ranging from 8 to 135 genes.
“We further compared 832 DEGs with bulk RNA-seq datasets from various brain regions in individuals with AD (80–84), gene members in GO terms related to apoptosis/neurodegeneration, and AD risk genes from Alzgene database, revealing distinct sets of DEGs with overlaps ranging from 8 to 135 genes (Table S7, page 2, 3 and 4).”
Quote in the paperSubstantial claim4 of 5 sources checked- cites [80] Friedman BA, Diverse Brain Myeloid Expression Profiles Reveal Distinct Microglial Activation States and Aspects of Alzheimer’s Disease Not Evident in Mouse Models. Cell Rep 22, 832– 847 (2018). 29346778 source
Checked before — its earlier verdict is held back until a new check runs.
- cites [81] Guo W., Exploring the interaction between T-cell antigen receptor-related genes and MAPT or ACHE using integrated bioinformatics analysis. Front Neurol 14, 1129470 (2023). 37056359 PMC10086260 source
- cites [82] Ivashko-Pachima Y., Discovery of autism/intellectual disability somatic mutations in Alzheimer’s brains: mutated ADNP cytoskeletal impairments and repair as a case study. Mol Psychiatry 26, 1619– 1633 (2021). 31664177 PMC8159740 source
- cites [83] Nativio R., An integrated multi-omics approach identifies epigenetic alterations associated with Alzheimer’s disease. Nat Genet 52, 1024– 1035 (2020). 32989324 PMC8098004 source
- cites [84] Srinivasan K., Alzheimer’s Patient Microglia Exhibit Enhanced Aging and Unique Transcriptional Activation. Cell Rep 31, 107843 (2020). 32610143 PMC7422733 source
Classified as probably not a substantial claim.
PremisecitationAging may impact the function of astrocytes and microglia.
“as aging may impact the function of astrocytes (98, 99) and microglia (100)”
Quote in the paperSubstantial claim3 of 3 sources checked- cites [98] Clarke LE, Normal aging induces A1-like astrocyte reactivity. Proc Natl Acad Sci U S A 115, E1896– E1905 (2018). 29437957 PMC5828643 source
- cites [99] Cohen J, Torres C, Astrocyte senescence: Evidence and significance. Aging Cell 18, e12937 (2019). 30815970 PMC6516680 source
- cites [100] Niraula A, Sheridan JF, Godbout JP, Microglia Priming with Aging and Stress. Neuropsychopharmacology 42, 318– 333 (2017). 27604565 PMC5143497 source
May combine two claims.
Findingown dataADAD 3D-CNs showed a threefold increase in total volume of Aβ deposits and higher numbers of Aβ deposits with size of 10,000-100,000 μm3 compared to HC 3D-CNs.
“Similar results were observed using a different Aβ antibody, 6E10: ADAD 3D-CNs showed a threefold increase in total volume of Aβ deposits and higher numbers of Aβ deposits with size of 10,000–100,000 μm3 compared to HC 3D-CNs (Fig. 1J and Fig. S3B).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataHC spheroids maintained neurite length from PID22 to PID28, ADAD spheroids showed significant retraction of neurite outgrowth at PID28.
“Whereas HC spheroids maintained neurite length from PID22 to PID28, ADAD spheroids showed significant (p < 0.05 in distal and middle regions) retraction of neurite outgrowth at PID28 (Fig. 2G).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataADAD-RFP spheroids exhibited a 50% reduction in RFP+ area at PID33, higher than the 10-20% reduction observed in HC spheroids.
“Similar to co-culturing, ADAD-RFP spheroids exhibited a 50% reduction in RFP+ area at PID33, higher than the 10–20% reduction observed in HC spheroids (Fig. S5B).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataADAD spheroids shrank by 50% in size from PID17 to PID33, whereas HC spheroids only decreased by 10% in the same environment.
“First, ADAD spheroids (labeled by turboRFP) cultured adjacent to HC spheroids (labeled by eGFP) shrank by 50% in size from PID17 to PID33, whereas HC spheroids only decreased by 10% in the same environment (Fig. 2E, right).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataADAD and HC cells showed minimal cell death until PID20, substantial cell death was detected in ADAD 3D-CNs at PID30 and PID35, compared to HCs.
“Whereas ADAD and HC cells showed minimal cell death until PID20, substantial cell death was detected in ADAD 3D-CNs at PID30 and PID35, compared to HCs (Fig. S5A).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataHC spheroids displayed low Aβ42 expression, whereas ADAD spheroids contained substantial expression of Aβ42.
“HC spheroids displayed low Aβ42 expression, whereas ADAD spheroids contained substantial expression of Aβ42 (Fig. 1K), consistent with effects of ADAD mutations on APP processing.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataADAD 3D-CNs exhibited significantly increased FRET signals compared to HCs, suggesting that ADAD 3D-CNs contain more seed-competent tau.
“As shown in Fig. 2D, ADAD 3D-CNs exhibited significantly (p < 0.05) increased FRET signals compared to HCs, suggesting that ADAD 3D-CNs contain more seed-competent tau.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataCryosections of PID28 ADAD spheroids immunostained with 6E10 or 82E1 Aβ antibody showed that Aβ deposits were formed in the extracellular space, in higher amounts compared to HC spheroids.
“Cryosections of PID28 ADAD spheroids immunostained with 6E10 or 82E1 Aβ antibody showed that Aβ deposits were formed in the extracellular space (Fig. 1M and Fig. S3E), in higher amounts compared to HC spheroids (Fig. S3E).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataSections of PID28 spheroids showed over 90% of cells expressed neuronal markers NCAM1, MAP2, TAU and TUBBIII and more than 80% of cells expressed NEUN, whereas less than 1% of cells expressing fibroblast marker FSP1.
“Sections of PID28 spheroids showed over 90% of cells expressed neuronal markers NCAM1, MAP2, TAU and TUBBIII and more than 80% of cells expressed NEUN, whereas less than 1% of cells expressing fibroblast marker FSP1 (Fig. S1F).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataSpheroids at PID28 showed neurite projections radiating out from the core and gene expression patterns similar to 3D-CNs at PID30 including downregulation of fibroblast marker genes and increased expression of long genes and neuronal markers.
“Spheroids at PID28 showed neurite projections radiating out from the core (Fig. 1F) and gene expression patterns similar to 3D-CNs at PID30 including downregulation of fibroblast marker genes and increased expression of long genes and neuronal markers as assessed by RNA-seq (Fig. 1G and 1H).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataLOAD and HC reprogramming cells did not display apparent cell death during the early phase of reprogramming (PID20), whereas PID30 and PID35 time points exhibited increased Sytox-Green signal in LOAD 3D-CNs compared to HC 3D-CNs.
“Specifically, LOAD and HC reprogramming cells did not display apparent cell death during the early phase of reprogramming (PID20), whereas PID30 and PID35 time points exhibited increased Sytox-Green signal in LOAD 3D-CNs compared to HC 3D-CNs (Fig. 4A), consistent with live-cell tracking over time showing neuronal loss of cell bodies and neurite length in LOAD 3D-CNs compared to HC 3D-CNs (Fig. S9”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataTreating β- or γ-secretase inhibitors started at PID16 lowered p-tau and K63-ubiquitin/p-tau colocalization, whereas no effects were seen when treatment started at PID22.
“Furthermore, treating b- or gsecretase inhibitors started at PID16 lowered p-tau and K63-ubiquitin/p-tau colocalization, whereas no effects were seen when treatment started at PID22 (Fig. 5B).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataEarly PID intervention (β- or γ-secretase inhibitors at PID16) substantially decreased Aβ deposits in the LOAD spheroids by 80-90% and also reduced cleaved Aβ species in the media.
“This early PID intervention substantially decreased Aβ deposits in the LOAD spheroids by 80–90% (Fig. 5A) and also reduced cleaved Aβ species in the media (Fig. S6D).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataβ- or γ-secretase inhibitors treated at PID16 effectively lowered neuronal death in LOAD spheroids by approximately 50%, whereas no effects were observed when treatment started at PID22.
“Lastly, β- or γ- secretase inhibitors treated at PID16 effectively lowered neuronal death in LOAD spheroids by approximately 50%, whereas no effects were observed when treatment started at PID22 (Fig. 5C).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataLOAD spheroids showed a ~50% reduction in size from PID17 to PID33, in contrast to ~10-20% reduction in size observed in the HC counterparts.
“In both cases, we observed a ~ 50% reduction in the size of LOAD spheroids from PID17 to PID33, in contrast to ~10–20% reduction in size observed in the HC counterparts (Fig. 4B and Fig. S9B).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataFewer numbers of SYN1+PSD95+ synapses and a reduction in PSD95+ signal in SYN1+ puncta in LOAD neurites compared to HC.
“Quantification showed fewer numbers of SYN1+PSD95+ synapses and a reduction in PSD95+ signal in SYN1+ puncta in LOAD neurites compared to HC.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown data3TC decreased Aβ formation and tau pathologies in LOAD spheroids, as evidenced by reduction of Aβ deposition, p-tau, and K63-linked ubiquitin-positive tau.
“3TC also decreased Aβ formation and tau pathologies, as evidenced by the reduction of Aβ deposition, p-tau, and K63-linked ubiquitin-positive tau (Fig. 7C and 7D).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown data3983 common DEGs were identified between young vs old HC spheroids and young HC vs LOAD spheroids, associated with translation, cell adhesion, response to hypoxia, axon guidance, ion transmembrane transport, and inflammatory response.
“3983 common DEGs were identified between these two datasets, which were associated with translation, cell adhesion, response to hypoxia, axon guidance, ion transmembrane transport, and inflammatory response (Fig. S12B and Table S9).”
Quote in the paperSubstantial claimMay combine two claims.
Findingnone givenInhibition of APP processing mitigated degeneration of LOAD neurons, but the effect was clear only when cells were treated before the formation of Aβ deposits, not after the onset.
“Whereas the inhibition of APP processing mitigated degeneration of LOAD neurons, the effect was clear only when cells were treated before the formation of Ab deposits, not after the onset.”
Quote in the paperSubstantial claimMay combine two claims.
Interpretationown dataAD neurons undergo Aβ-dependent tauopathy and neurodegeneration, yet mitigation of neurodegeneration depends on the presence or absence of preformed Aβ deposits.
“These results suggest that AD neurons undergo Aβ-dependent tauopathy and neurodegeneration, yet mitigation of neurodegeneration depends on the presence or absence of preformed Aβ deposits.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationLEP has been linked to the sporadic form of AD.
“Other upregulated DEGs included LEP, which encodes for Leptin, that has been linked to the sporadic form of AD (75).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [75] Folch J., The role of leptin in the sporadic form of Alzheimer’s disease. Interactions with the adipokines amylin, ghrelin and the pituitary hormone prolactin. Life Sci 140, 19– 28 (2015). 25998028 source
Classified as probably not a substantial claim.
PremisecitationMC1 antibody detects conformationally misfolded tau.
“MC1 antibody, which detects conformationally misfolded tau (40)”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [40] Jicha GA, Bowser R, Kazam IG, Davies P, Alz-50 and MC-1, a new monoclonal antibody raised to paired helical filaments, recognize conformational epitopes on recombinant tau. J Neurosci Res 48, 128– 132 (1997). 9130141 source
May combine two claims.
Interpretationown dataAlthough common DEGs exist, the LOAD spheroid transcriptome is characterized by the presence of age-associated pathways as well as unique DEGs that differ from ADAD spheroids.
“Taken together, although common DEGs exist, LOAD spheroid transcriptome is characterized by the presence of age-associated pathways as well as unique DEGs that differ from ADAD spheroids.”
Quote in the paperSubstantial claim- Rests on an assumption: Transcriptomic overlap between LOAD spheroids and postmortem AD brains indicates that the spheroid model recapitulates LOAD neurodegeneration.
May combine two claims.
Study design and conductown data3TC-treated cells retained the expression of neuronal genes, indicating the protective effects of 3TC were not due to loss of neuronal identity.
“We further confirmed these protective effects of 3TC were not due to the loss of neuronal identity, as 3TC-treated cells retained the expression of neuronal genes (Fig. S11E).”
Quote in the paperSubstantial claimMay combine two claims.
InterpretationreasoningAge is the major risk factor for LOAD compared to ADAD, in which mutations associated with APP processing drive the disease onset.
“This highlights the important role of age as the major risk factor for LOAD compared to ADAD, in which mutations associated APP processing drive the disease onset.”
Quote in the paperSubstantial claimMay combine two claims.
Interpretationown dataResults demonstrate the effectiveness and sufficiency of 3D directly reprogrammed patient neurons to capture adult-onset neuropathology of LOAD.
“Overall, results in this study demonstrate the effectiveness and sufficiency of 3D directly reprogrammed patient neurons to capture adult-onset neuropathology of LOAD.”
Quote in the paperSubstantial claim- Rests on an assumption: Transcriptomic overlap between LOAD spheroids and postmortem AD brains indicates that the spheroid model recapitulates LOAD neurodegeneration.
The paper relies on this without support.
Modeling sporadic LOAD that endogenously captures hallmark neuronal pathologies, such as Aβ deposition, tau tangles, and neuronal loss, remains an unmet need.
“However, modeling sporadic LOAD, that endogenously captures hallmark neuronal pathologies, such as amyloid-β (Aβ) deposition, tau tangles, and neuronal loss, remains an unmet need.”
The paper relies on this without support.
Sporadic LOAD modeling remains underexplored.
“In contrast, sporadic LOAD modeling remains underexplored although LOAD represents over 95% of AD cases”
The paper relies on this without support.
A LOAD patient-specific model system that allows the investigation of adult-onset neuropathological features remains to be established.
“and a LOAD patient-specific model system that allows the investigation of adult-onset neuropathological features remains to be established.”
The paper relies on this without support.
Transcriptomic overlap between LOAD spheroids and postmortem AD brains indicates that the spheroid model recapitulates LOAD neurodegeneration.
“To further assess how the gene signatures of neurodegeneration in LOAD spheroids are reminiscent of its counterpart in the patient brain, we compared these DEGs with previously published gene expression profiling datasets of postmortem brains with AD as well as GO terms related to neurodegeneration (Table S7).”
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“Direct cellular reprogramming retains age-related signatures stored in pre-reprogrammed non-neural somatic cells such as fibroblasts, including the epigenetic age, telomere length, and gene expression changes (22, 23).”
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Improving FRET dynamic range with bright green and red fluorescent proteins
Lam, A. J., St-Pierre, F., Gong, Y., Marshall, J. D., Cranfill, P. J., Baird, M. A., McKeown, M. R., Wiedenmann, J., Davidson, M. W., Schnitzer, M. J., et al. (2012) · Nature Methods · doi:10.1038/nmeth.2171 · Cited by 732 · cited 1× · see citing works
“These reporter proteins aggregate and transmit FRET signals in the presence of seed-competent tau species (44, 45).”
Jin, Y., Tam, O. H., Paniagua, E., & Hammell, M. (2015) · Bioinformatics · doi:10.1093/bioinformatics/btv422 · Cited by 709 · see citing works
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“We further compared 832 DEGs with bulk RNA-seq datasets from various brain regions in individuals with AD (80–84), gene members in GO terms related to apoptosis/neurodegeneration, and AD risk genes from Alzgene database, revealing distinct sets of DEGs with overlaps ranging from 8 to 135 genes…”
Neuropathology of nondemented aging: presumptive evidence for preclinical Alzheimer disease
Price, J. L., McKeel, D. W., Buckles, V. D., Roe, C. M., Xiong, C., Grundman, M., Hansen, L. A., Petersen, R. C., Parisi, J. E., Dickson, D. W., et al. (2009) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2009.04.002 · Cited by 661 · cited 1× · see citing works
“It is important to note that A β deposition is not exclusive to individuals with AD as it can be found also in nondemented elderly individuals (64).”
He, Z., Guo, J. L., McBride, J. D., Narasimhan, S., Kim, H., Changolkar, L., Zhang, B., Gathagan, R. J., Yue, C., Dengler, C., et al. (2018) · Nature Medicine · doi:10.1038/nm.4443 · Cited by 645 · see citing works
Risk factors for Alzheimer’s disease
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Tau Kinetics in Neurons and the Human Central Nervous System
Sato, C., Barthélemy, N. R., Mawuenyega, K. G., Patterson, B. W., Gordon, B. A., Jockel-Balsarotti, J., Sullivan, M., Crisp, M. J., Kasten, T., Kirmess, K. M., et al. (2018) · Neuron · doi:10.1016/j.neuron.2018.02.015 · Cited by 586 · cited 1× · see citing works
“However, fetal neurons and iPSCs-derived neurons primarily express 3R-tau (20, 21), imposing challenges to mimic tau isoform without introducing mutations within MAPT as it occurs in the brain of individuals with LOAD.”
Self-citationOvod, V., Ramsey, K. N., Mawuenyega, K. G., Bollinger, J. G., Hicks, T., Schneider, T., Sullivan, M., Paumier, K., Holtzman, D. M., Morris, J. C., et al. (2017) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2017.06.2266 · Cited by 585 · see citing works
Self-citationAnimal models of neurodegenerative diseases
Dawson, T. M., Golde, T. E., & Lagier-Tourenne, C. (2018) · Nature Neuroscience · doi:10.1038/s41593-018-0236-8 · Cited by 576 · cited 1× · see citing works
“It typically requires additional expression of human tau harboring mutations associated with primary tauopathy (94–96) or seeding mutant human APP knock-in mouse brain with human AD brain-derived tau (97) to develop the tau pathology.”
Rejuvenating senescent and centenarian human cells by reprogramming through the pluripotent state
Lapasset, L., Milhavet, O., Prieur, A., Besnard, E., Babled, A., Aït-Hamou, N., Leschik, J., Pellestor, F., Ramirez, J.-M., De Vos, J., et al. (2011) · Genes & Development · doi:10.1101/gad.173922.111 · Cited by 570 · cited 1× · see citing works
“Similarly, LOAD spheroids from six independent individuals exhibited significantly (p 0.05) higher amounts of extracellular A β deposits at PID28 compared to age-matched HC spheroids (Fig.”
InfluentialDisruption of DNA-methylation-dependent long gene repression in Rett syndrome
Gabel, H. W., Kinde, B., Stroud, H., Gilbert, C. S., Harmin, D. A., Kastan, N. R., Hemberg, M., Ebert, D. H., & Greenberg, M. E. (2015) · Nature · doi:10.1038/nature14319 · Cited by 569 · cited 1× · see citing works
“RNA-seq of reprogramming cells at different post-induction days (PID) showed a continuous increase in the expression of long genes, a transcriptomic feature unique to neurons (29, 34) (Fig.”
Raja, W. K., Mungenast, A. E., Lin, Y.-T., Ko, T., Abdurrob, F., Seo, J., & Tsai, L.-H. (2016) · PLOS ONE · doi:10.1371/journal.pone.0161969 · Cited by 569 · see citing works
Synaptic dysregulation in a human iPS cell model of mental disorders
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“LOAD and HC 3D-CNs were co-immunostained with postsynaptic marker PSD95 and presynaptic marker SYN1 at PID20 or PID30, and the number of SYN1/PSD95-double positive pairs was counted as the number of synapses (70).”
MicroRNA-mediated switching of chromatin-remodelling complexes in neural development
Yoo, A. S., Staahl, B. T., Chen, L., & Crabtree, G. R. (2009) · Nature · doi:10.1038/nature08139 · Cited by 537 · cited 2× · see citing works
“Here, we deploy microRNA (miRNA)-based direct reprogramming to convert patient fibroblasts into neurons (26, 27) in three-dimensional (3D) environment.”
Self-citationThe Human LINE-1 Retrotransposon Creates DNA Double-strand Breaks
Gasior, S. L., Wakeman, T. P., Xu, B., & Deininger, P. L. (2006) · Journal of Molecular Biology · doi:10.1016/j.jmb.2006.01.089 · Cited by 519 · cited 1× · see citing works
“Since ectopic retrotransposon activation has been associated with DNA damage and genomic instability (87, 90), we also examined DNA damage in 3TC-treated LOAD spheroids by immunostaining for 53BP1, a marker of double-stranded breaks (33).”
Mathys, H., Peng, Z., Boix, C. A., Victor, M. B., Leary, N., Babu, S., Abdelhady, G., Jiang, X., Ng, A. P., Ghafari, K., et al. (2023) · Cell · doi:10.1016/j.cell.2023.08.039 · Cited by 495 · cited 1× · see citing works
“In contrast, we did not detect the expression of non-neuronal cell markers (35) in 3D-CNs, such as astrocyte, microglia, oligodendrocyte, Schwann cells, oligodendrocyte precursor cells (OPC), radial glia, stem cells, and myocytes (Fig.”
The role of retrotransposable elements in ageing and age-associated diseases
Gorbunova, V., Seluanov, A., Mita, P., McKerrow, W., Fenyö, D., Boeke, J. D., Linker, S. B., Gage, F. H., Kreiling, J. A., Petrashen, A. P., et al. (2021) · Nature · doi:10.1038/s41586-021-03542-y · Cited by 457 · cited 1× · see citing works
“Since ectopic retrotransposon activation has been associated with DNA damage and genomic instability (87, 90), we also examined DNA damage in 3TC-treated LOAD spheroids by immunostaining for 53BP1, a marker of double-stranded breaks (33).”
Guo, J. L., Narasimhan, S., Changolkar, L., He, Z., Stieber, A., Zhang, B., Gathagan, R. J., Iba, M., McBride, J. D., Trojanowski, J. Q., et al. (2016) · Journal of Experimental Medicine · doi:10.1084/jem.20160833 · Cited by 440 · cited 1× · see citing works
“Methanol fixation has previously been used to remove soluble proteins, including tau (20, 46).”
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“…neurons from individuals with AD exhibit increased production of A β 42, active GSK-3 β , phosphorylated tau, endosomal abnormalities, and oxidative stress (12– 17), but late-stage neuropathological features, such as formation of insoluble tau and neurodegeneration have not been reported.”
Alzheimer’s Patient Microglia Exhibit Enhanced Aging and Unique Transcriptional Activation
Srinivasan, K., Friedman, B. A., Etxeberria, A., Huntley, M. A., van der Brug, M. P., Foreman, O., Paw, J. S., Modrusan, Z., Beach, T. G., Serrano, G. E., et al. (2020) · Cell Reports · doi:10.1016/j.celrep.2020.107843 · Cited by 427 · cited 1× · see citing works
“We further compared 832 DEGs with bulk RNA-seq datasets from various brain regions in individuals with AD (80–84), gene members in GO terms related to apoptosis/neurodegeneration, and AD risk genes from Alzgene database, revealing distinct sets of DEGs with overlaps ranging from 8 to 135 genes…”
The age factor in Alzheimer’s disease
Guerreiro, R., & Bras, J. (2015) · Genome Medicine · doi:10.1186/s13073-015-0232-5 · Cited by 415 · see citing works
Microglia Priming with Aging and Stress
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Il10 Deficiency Rebalances Innate Immunity to Mitigate Alzheimer-Like Pathology
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“Specifically, upregulated DEGs in LOAD spheroids were enriched for pathways such as inflammatory response and immune response (Fig.”
Neuronal cell death in neurodegenerative diseases: recurring themes around protein handling
Gorman, A. M. (2008) · Journal of Cellular and Molecular Medicine · doi:10.1111/j.1582-4934.2008.00402.x · Cited by 362 · cited 1× · see citing works
“AD is a neurodegenerative disorder marked by neuronal loss, especially in the hippocampus and cerebral cortex (49, 50).”
Tauopathies: new perspectives and challenges
Zhang, Y., Wu, K.-M., Yang, L., Dong, Q., & Yu, J.-T. (2022) · Molecular Neurodegeneration · doi:10.1186/s13024-022-00533-z · Cited by 323 · cited 1× · see citing works
“Both 3R-and 4R-tau isoforms were detected with no noticeable difference in the 3R to 4R ratio between LOAD and HC 3D-CNs, consistent with the concept that AD is a mixed 3R/4R tauopathy (65, 66) (Fig.”
Šišková, Z., Justus, D., Kaneko, H., Friedrichs, D., Henneberg, N., Beutel, T., Pitsch, J., Schoch, S., Becker, A., von der Kammer, H., et al. (2014) · Neuron · doi:10.1016/j.neuron.2014.10.024 · Cited by 320 · cited 1× · see citing works
“Since AD is also associated with progressive neurite degeneration (51), we examined neurite outgrowth in spheroids.”
Sun, W., Samimi, H., Gamez, M., Zare, H., & Frost, B. (2018) · Nature Neuroscience · doi:10.1038/s41593-018-0194-1 · Cited by 315 · cited 2× · see citing works
“It was previously shown that dysregulation of retrotransposon elements (RTEs) in aging may trigger inflammatory responses (86–88) and suppression of RTE was shown to reduce tau activation and tau-induced neurotoxicity in tau transgenic Drosophila (77).”
Generation of Human Striatal Neurons by MicroRNA-Dependent Direct Conversion of Fibroblasts
Victor, M. B., Richner, M., Hermanstyne, T. O., Ransdell, J. L., Sobieski, C., Deng, P.-Y., Klyachko, V. A., Nerbonne, J. M., & Yoo, A. S. (2014) · Neuron · doi:10.1016/j.neuron.2014.10.016 · Cited by 295 · see citing works
Self-citationInterleukin-1β Induces Blood–Brain Barrier Disruption by Downregulating Sonic Hedgehog in Astrocytes
Wang, Y., Jin, S., Sonobe, Y., Cheng, Y., Horiuchi, H., Parajuli, B., Kawanokuchi, J., Mizuno, T., Takeuchi, H., & Suzumura, A. (2014) · PLoS ONE · doi:10.1371/journal.pone.0110024 · Cited by 286 · see citing works
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“MMPs are known to be linked to extracellular protein degradation including A β (72), whereas MMPs upregulated in AD may also confer neuroinflammation, synaptic dysfunction, and neuronal death (73, 74).”
Astrocyte senescence: Evidence and significance
Cohen, J., & Torres, C. (2019) · Aging Cell · doi:10.1111/acel.12937 · Cited by 281 · see citing works
Genes and pathways underlying regional and cell type changes in Alzheimer’s disease
Miller, J. A., Woltjer, R. L., Goodenbour, J. M., Horvath, S., & Geschwind, D. H. (2013) · Genome Medicine · doi:10.1186/gm452 · Cited by 275 · cited 1× · see citing works
“The expression of SST (61) and KCNIP1 (62) is reduced in the brains of individuals with AD, and downregulation of these two genes has been implicated in mediating the formation of A β oligomers.”
Mertens, J., Reid, D. A., Lau, S., Kim, Y., & Gage, F. H. (2018) · Annual Review of Genetics · doi:10.1146/annurev-genet-120417-031534 · Cited by 252 · cited 1× · see citing works
“This imposes challenges for modeling LOAD accounting for human age as a key contributing risk factor (10, 11).”
Victor, M. B., Richner, M., Olsen, H. E., Lee, S. W., Monteys, A. M., Ma, C., Huh, C. J., Zhang, B., Davidson, B. L., Yang, X. W., et al. (2018) · Nature Neuroscience · doi:10.1038/s41593-018-0075-7 · Cited by 246 · cited 2× · see citing works
“…miRNA-induced neuronal state can synergize with additional transcription factors (TFs) to generate disease-relevant neuronal subtypes that recapitulate age-dependent neuropathology (26, 28, 30, 31), including primary tauopathy and adult-onset neurodegeneration of Huntington’s disease (20, 32, 33).”
Self-citationCoates, J. A., Cammack, N., Jenkinson, H. J., Jowett, A. J., Jowett, M. I., Pearson, B. A., Penn, C. R., Rouse, P. L., Viner, K. C., & Cameron, J. M. (1992) · Antimicrobial Agents and Chemotherapy · doi:10.1128/aac.36.4.733 · Cited by 240 · see citing works
Age-dependent instability of mature neuronal fate in induced neurons from Alzheimer’s patients
Mertens, J., Herdy, J. R., Traxler, L., Schafer, S. T., Schlachetzki, J. C. M., Böhnke, L., Reid, D. A., Lee, H., Zangwill, D., Fernandes, D. P., et al. (2021) · Cell Stem Cell · doi:10.1016/j.stem.2021.04.004 · Cited by 240 · cited 1× · see citing works
“These results underscore the potential of 3D neuronal reprogramming to model age-dependent A β deposition in LOAD neurons.”
Microtubules gate tau condensation to spatially regulate microtubule functions
Tan, R., Lam, A. J., Tan, T., Han, J., Nowakowski, D. W., Vershinin, M., Simó, S., Ori-McKenney, K. M., & McKenney, R. J. (2019) · Nature Cell Biology · doi:10.1038/s41556-019-0375-5 · Cited by 231 · cited 1× · see citing works
“Both ADAD and HC neurites displayed p-tau signals, mirroring the tau island patterns observed in primary neurons (20, 38, 39) (Fig.”
Ochalek, A., Mihalik, B., Avci, H. X., Chandrasekaran, A., Téglási, A., Bock, I., Giudice, M. L., Táncos, Z., Molnár, K., László, L., et al. (2017) · Alzheimer's Research & Therapy · doi:10.1186/s13195-017-0317-z · Cited by 225 · see citing works
Maintenance of age in human neurons generated by microRNA-based neuronal conversion of fibroblasts
Huh, C. J., Zhang, B., Victor, M. B., Dahiya, S., Batista, L. F., Horvath, S., & Yoo, A. S. (2016) · eLife · doi:10.7554/elife.18648 · Cited by 213 · cited 1× · see citing works
“These results underscore the potential of 3D neuronal reprogramming to model age-dependent A β deposition in LOAD neurons.”
Mouse Models of Alzheimer’s Disease
Yokoyama, M., Kobayashi, H., Tatsumi, L., & Tomita, T. (2022) · Frontiers in Molecular Neuroscience · doi:10.3389/fnmol.2022.912995 · Cited by 213 · see citing works
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“These results underscore the potential of 3D neuronal reprogramming to model age-dependent A β deposition in LOAD neurons.”
Traxler, L., Herdy, J. R., Stefanoni, D., Eichhorner, S., Pelucchi, S., Szücs, A., Santagostino, A., Kim, Y., Agarwal, R. K., Schlachetzki, J. C. M., et al. (2022) · Cell Metabolism · doi:10.1016/j.cmet.2022.07.014 · Cited by 179 · see citing works
SV2 Renders Primed Synaptic Vesicles Competent for Ca<sup>2+</sup>-Induced Exocytosis
Chang, W.-P., & Südhof, T. C. (2009) · The Journal of Neuroscience · doi:10.1523/jneurosci.4521-08.2009 · Cited by 176 · cited 1× · see citing works
“After replating, half media changes were performed every other day for both thin gel culture and spheroid culture.”
Kinetically distinct phases of tau on microtubules regulate kinesin motors and severing enzymes
Siahaan, V., Krattenmacher, J., Hyman, A. A., Diez, S., Hernández-Vega, A., Lansky, Z., & Braun, M. (2019) · Nature Cell Biology · doi:10.1038/s41556-019-0374-6 · Cited by 169 · cited 1× · see citing works
“Both ADAD and HC neurites displayed p-tau signals, mirroring the tau island patterns observed in primary neurons (20, 38, 39) (Fig.”
Tau Oligomers: The Toxic Player at Synapses in Alzheimer’s Disease
Guerrero-Muñoz, M. J., Gerson, J., & Castillo-Carranza, D. L. (2015) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2015.00464 · Cited by 168 · cited 1× · see citing works
“Pathogenic tau has been linked to synaptic dysfunction and loss (69).”
Ivins, K. J., Bui, E. T. N., & Cotman, C. W. (1998) · Neurobiology of Disease · doi:10.1006/nbdi.1998.0228 · Cited by 164 · see citing works
PLD3 affects axonal spheroids and network defects in Alzheimer’s disease
Yuan, P., Zhang, M., Tong, L., Morse, T. M., McDougal, R. A., Ding, H., Chan, D., Cai, Y., & Grutzendler, J. (2022) · Nature · doi:10.1038/s41586-022-05491-6 · Cited by 155 · cited 1× · see citing works
“Beading or blebbing in neurites is a marker of dystrophic neurites in the AD brain (3, 42, 43).”
Abernathy, D. G., Kim, W. K., McCoy, M. J., Lake, A. M., Ouwenga, R., Lee, S. W., Xing, X., Li, D., Lee, H. J., Heuckeroth, R. O., et al. (2017) · Cell Stem Cell · doi:10.1016/j.stem.2017.08.002 · Cited by 145 · cited 3× · see citing works
“…miRNA-induced neuronal state can synergize with additional transcription factors (TFs) to generate disease-relevant neuronal subtypes that recapitulate age-dependent neuropathology (26, 28, 30, 31), including primary tauopathy and adult-onset neurodegeneration of Huntington’s disease (20, 32, 33).”
Self-citationThe search for better animal models of Alzheimer’s disease
King, A. (2018) · Nature · doi:10.1038/d41586-018-05722-9 · Cited by 142 · see citing works
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“Reminiscent of persistent defective DNA repair in the brains of individuals with LOAD (79), LOAD spheroids exhibited an increase in DNA damage compared to age-matched HC spheroids.”
InfluentialA NPAS4–NuA4 complex couples synaptic activity to DNA repair
Pollina, E. A., Gilliam, D. T., Landau, A. T., Lin, C., Pajarillo, N., Davis, C. P., Harmin, D. A., Yap, E.-L., Vogel, I. R., Griffith, E. C., et al. (2023) · Nature · doi:10.1038/s41586-023-05711-7 · Cited by 125 · cited 1× · see citing works
“Some of the downregulated genes were NPAS4, a TF that protects against age-dependent accumulation of DNA damages and somatic mutations (76), and PIWIL2, one of the four known human Piwi proteins (Fig.”
Differential Incorporation of Tau Isoforms in Alzheimer's Disease
Espinoza, M., de Silva, R., Dickson, D. W., & Davies, P. (2008) · Journal of Alzheimer's Disease · doi:10.3233/jad-2008-14101 · Cited by 119 · cited 3× · see citing works
“S9A), the impairment of synaptic formation likely reflects the degenerative state of LOAD neurons.”
Age and Alzheimer’s disease gene expression profiles reversed by the glutamate modulator riluzole
Pereira, A. C., Gray, J. D., Kogan, J. F., Davidson, R. L., Rubin, T. G., Okamoto, M., Morrison, J. H., & McEwen, B. S. (2017) · Molecular Psychiatry · doi:10.1038/mp.2016.33 · Cited by 116 · cited 1× · see citing works
“Downregulation of KCNIP3 in the brains of individuals with AD is associated with memory and learning (63).”
Chen, H., Zheng, X., Xiao, D., & Zheng, Y. (2016) · Aging Cell · doi:10.1111/acel.12465 · Cited by 107 · see citing works
Ivashko-Pachima, Y., Hadar, A., Grigg, I., Korenková, V., Kapitansky, O., Karmon, G., Gershovits, M., Sayas, C. L., Kooy, R. F., Attems, J., et al. (2021) · Molecular Psychiatry · doi:10.1038/s41380-019-0563-5 · Cited by 107 · see citing works
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“…miRNA-induced neuronal state can synergize with additional transcription factors (TFs) to generate disease-relevant neuronal subtypes that recapitulate age-dependent neuropathology (26, 28, 30, 31), including primary tauopathy and adult-onset neurodegeneration of Huntington’s disease (20, 32, 33).”
Self-citationGibbons, G. S., Banks, R. A., Kim, B., Changolkar, L., Riddle, D. M., Leight, S. N., Irwin, D. J., Trojanowski, J. Q., & Lee, V. M. Y. (2018) · Journal of Neuropathology & Experimental Neurology · doi:10.1093/jnen/nly010 · Cited by 94 · cited 1× · see citing works
“Moreover, using GT-38 tau antibody, which selectively labels the AD-specific tau strain (47), we found that ADAD 3D-CNs showed GT-38-labeled tau albeit in low occurrences (Fig.”
Matrix Metalloproteinases as New Targets in Alzheimer’s Disease: Opportunities and Challenges
Zipfel, P., Rochais, C., Baranger, K., Rivera, S., & Dallemagne, P. (2020) · Journal of Medicinal Chemistry · doi:10.1021/acs.jmedchem.0c00352 · Cited by 94 · cited 1× · see citing works
“MMPs are known to be linked to extracellular protein degradation including A β (72), whereas MMPs upregulated in AD may also confer neuroinflammation, synaptic dysfunction, and neuronal death (73, 74).”
MicroRNA-based conversion of human fibroblasts into striatal medium spiny neurons
Richner, M., Victor, M. B., Liu, Y., Abernathy, D. G., & Yoo, A. S. J. (2015) · Nature Protocols · doi:10.1038/nprot.2015.102 · Cited by 89 · cited 1× · see citing works
“…miRNA-induced neuronal state can synergize with additional transcription factors (TFs) to generate disease-relevant neuronal subtypes that recapitulate age-dependent neuropathology (26, 28, 30, 31), including primary tauopathy and adult-onset neurodegeneration of Huntington’s disease (20, 32, 33).”
Self-citationThe role of tau in Alzheimer's disease
Trojanowski, J. Q., & Lee, V. M.-Y. (2002) · Medical Clinics of North America · doi:10.1016/s0025-7125(02)00002-0 · Cited by 85 · cited 1× · see citing works
“We detected decreased density of presynaptic marker SYN1 (Synapsin1), SYT1(Synaptotagmin1), or SYT9 (Synaptotagmin9)-positive puncta in LOAD 3D-CNs compared to HC 3D-CNs (Fig.”
Sung, Y. J., Yang, C., Norton, J., Johnson, M., Fagan, A., Bateman, R. J., Perrin, R. J., Morris, J. C., Farlow, M. R., Chhatwal, J. P., et al. (2023) · Science Translational Medicine · doi:10.1126/scitranslmed.abq5923 · Cited by 84 · cited 1× · see citing works
“S5F) (58).”
Self-citationPI16 is a shear stress and inflammation-regulated inhibitor of MMP2
Hazell, G. G. J., Peachey, A. M. G., Teasdale, J. E., Sala-Newby, G. B., Angelini, G. D., Newby, A. C., & White, S. J. (2016) · Scientific Reports · doi:10.1038/srep39553 · Cited by 83 · cited 1× · see citing works
“Both PI16 and ADAMDEC1, whose expression is strongly suppressed by inflammatory response (91, 92), were increased in 3TC-treated spheroids (Fig.”
Understanding the cause of sporadic Alzheimer’s disease
Zetterberg, H., & Mattsson, N. (2014) · Expert Review of Neurotherapeutics · doi:10.1586/14737175.2014.915740 · Cited by 73 · cited 1× · see citing works
“A β deposits were minimal in 3D-CNs derived from a young adult (22 years of age), but became more apparent with older age (Fig S6A).”
Golde, T. E. (2009) · Molecular Neurodegeneration · doi:10.1186/1750-1326-4-8 · Cited by 71 · cited 1× · see citing works
“AD is a neurodegenerative disorder marked by neuronal loss, especially in the hippocampus and cerebral cortex (49, 50).”
Ultrasensitive tau biosensor cells detect no seeding in Alzheimer’s disease CSF
Hitt, B. D., Vaquer-Alicea, J., Manon, V. A., Beaver, J. D., Kashmer, O. M., Garcia, J. N., & Diamond, M. I. (2021) · Acta Neuropathologica Communications · doi:10.1186/s40478-021-01185-8 · Cited by 71 · cited 1× · see citing works
“These reporter proteins aggregate and transmit FRET signals in the presence of seed-competent tau species (44, 45).”
Self-citationPuangmalai, N., Sengupta, U., Bhatt, N., Gaikwad, S., Montalbano, M., Bhuyan, A., Garcia, S., McAllen, S., Sonawane, M., Jerez, C., et al. (2022) · Journal of Biological Chemistry · doi:10.1016/j.jbc.2022.101766 · Cited by 68 · cited 1× · see citing works
“In human AD brains, K63-linked accumulation of ubiquitinated tau is associated with tau seeding (41).”
Deconstructing Stepwise Fate Conversion of Human Fibroblasts to Neurons by MicroRNAs
Cates, K., McCoy, M. J., Kwon, J.-S., Liu, Y., Abernathy, D. G., Zhang, B., Liu, S., Gontarz, P., Kim, W. K., Chen, S., et al. (2021) · Cell Stem Cell · doi:10.1016/j.stem.2020.08.015 · Cited by 67 · see citing works
Self-citationCapano, L. S., Sato, C., Ficulle, E., Yu, A., Horie, K., Kwon, J.-S., Burbach, K. F., Barthélemy, N. R., Fox, S. G., Karch, C. M., et al. (2022) · Cell Stem Cell · doi:10.1016/j.stem.2022.04.018 · Cited by 65 · see citing works
Self-citationRegional correlation of biochemical measures of amyloid and tau phosphorylation in the brain
Horie, K., Barthélemy, N. R., Mallipeddi, N., Li, Y., Franklin, E. E., Perrin, R. J., Bateman, R. J., & Sato, C. (2020) · Acta Neuropathologica Communications · doi:10.1186/s40478-020-01019-z · Cited by 62 · see citing works
Self-citationO’Shea, N. R., Chew, T. S., Dunne, J., Marnane, R., Nedjat-Shokouhi, B., Smith, P. J., Bloom, S. L., Smith, A. M., & Segal, A. W. (2016) · Journal of Crohn's and Colitis · doi:10.1093/ecco-jcc/jjw111 · Cited by 53 · cited 1× · see citing works
“Both PI16 and ADAMDEC1, whose expression is strongly suppressed by inflammatory response (91, 92), were increased in 3TC-treated spheroids (Fig.”
Karahan, H., Smith, D. C., Kim, B., Dabin, L. C., Al-Amin, M. M., Wijeratne, H. R. S., Pennington, T., Viana di Prisco, G., McCord, B., Lin, P. B.-C., et al. (2021) · Science Advances · doi:10.1126/sciadv.abe3954 · Cited by 53 · see citing works
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“Other upregulated DEGs included LEP, which encodes for Leptin, that has been linked to the sporadic form of AD (75).”
Frick, E. A., Emilsson, V., Jónmundsson, Þ., Steindorsdottir, A. E., Johnson, E. C. B., Puerta, R., Dammer, E. B., Shantaraman, A., Cano, A. C., Boada, M., et al. (2024) · Nature Aging · doi:10.1038/s43587-024-00693-1 · Cited by 45 · see citing works
Gonzalez‐Rodriguez, M., Villar‐Conde, S., Astillero‐Lopez, V., Villanueva‐Anguita, P., Ubeda‐Banon, I., Flores‐Cuadrado, A., Martinez‐Marcos, A., & Saiz‐Sanchez, D. (2023) · Brain Pathology · doi:10.1111/bpa.13180 · Cited by 36 · cited 1× · see citing works
“Among the most upregulated DEGs, higher amounts of MMP3 (52), IBSP (53), or TAGLN (54) in the brain have been linked to increased risk of AD.”
Frustrated Alzheimer’s researchers seek better lab mice
Reardon, S. (2018) · Nature · doi:10.1038/d41586-018-07484-w · Cited by 35 · cited 1× · see citing works
“It typically requires additional expression of human tau harboring mutations associated with primary tauopathy (94–96) or seeding mutant human APP knock-in mouse brain with human AD brain-derived tau (97) to develop the tau pathology.”
Somatostatin, Olfaction, and Neurodegeneration
Saiz-Sanchez, D., Ubeda-Bañon, I., Flores-Cuadrado, A., Gonzalez-Rodriguez, M., Villar-Conde, S., Astillero-Lopez, V., & Martinez-Marcos, A. (2020) · Frontiers in Neuroscience · doi:10.3389/fnins.2020.00096 · Cited by 32 · cited 2× · see citing works
“The expression of SST (61) and KCNIP1 (62) is reduced in the brains of individuals with AD, and downregulation of these two genes has been implicated in mediating the formation of A β oligomers.”
Pentz, R., Iulita, M. F., Mikutra-Cencora, M., Ducatenzeiler, A., Bennett, D. A., & Cuello, A. C. (2021) · Neurobiology of Disease · doi:10.1016/j.nbd.2020.105150 · Cited by 31 · cited 4× · see citing works
“Among the most upregulated DEGs, higher amounts of MMP3 (52), IBSP (53), or TAGLN (54) in the brain have been linked to increased risk of AD.”
InfluentialLomoio, S., Pandey, R. S., Rouleau, N., Menicacci, B., Kim, W., Cantley, W. L., Haydon, P. G., Bennett, D. A., Young-Pearse, T. L., Carter, G. W., et al. (2023) · Molecular Psychiatry · doi:10.1038/s41380-023-02147-3 · Cited by 25 · see citing works
Lack of Neurosteroid Selectivity at δ vs. γ2-Containing GABAA Receptors in Dentate Granule Neurons
Lu, X., Zorumski, C. F., & Mennerick, S. J. (2020) · Frontiers in Molecular Neuroscience · doi:10.3389/fnmol.2020.00006 · Cited by 21 · see citing works
Self-citationHoogmartens, J., Hens, E., Engelborghs, S., De Deyn, P. P., van der Zee, J., Van Broeckhoven, C., & Cacace, R. (2021) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2021.03.011 · Cited by 17 · see citing works
Zhang, W., Zhang, Y., Hu, N., & Wang, A. (2022) · Frontiers in Neurology · doi:10.3389/fneur.2022.990779 · Cited by 12 · cited 1× · see citing works
“CCL20 (55), CSF3 (56) and IL10 (57) are associated with the inflammatory response in AD.”
Allopregnanolone Effects on Inhibition in Hippocampal Parvalbumin Interneurons
Lu, X., Lambert, P. M., Benz, A. M., Zorumski, C. F., & Mennerick, S. J. (2023) · eNeuro · doi:10.1523/eneuro.0392-22.2023 · Cited by 11 · see citing works
Self-citationGuo, W., Gou, X., Yu, L., Zhang, Q., Yang, P., Pang, M., Pang, X., Pang, C., Wei, Y., & Zhang, X. (2023) · Frontiers in Neurology · doi:10.3389/fneur.2023.1129470 · Cited by 10 · see citing works
Frick, E. A., Emilsson, V., Jonmundsson, T., Steindorsdottir, A. E., Johnson, E. C. B., Puerta, R., Dammer, E. B., Shantaraman, A., Cano, A., Boada, M., et al. (2023) · doi:10.1101/2023.11.08.23298251 · Cited by 3 · cited 1× · see citing works
“Functional gene annotation analysis revealed inflammation, Alzheimer’s disease, and cognition disorders are the top disease terms associated with all DEGs (Fig.”
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Sorted by citations
Molecular and cellular mechanisms of selective vulnerability in neurodegenerative diseases
Kampmann, M. (2024) · Nature reviews. Neuroscience · doi:10.1038/s41583-024-00806-0 · Cited by 138 · see citing works
Fruhwürth, S., Zetterberg, H., & Paludan, S. R. (2024) · Journal of Neuroimmunology · doi:10.1016/j.jneuroim.2024.578342 · Cited by 75 · see citing works
Ji, Y., Chen, X., Wang, Z., Meek, C. J., McLean, J. L., Yang, Y., Yuan, C., Rochet, J., Liu, F., & Xu, R. (2025) · Molecular Psychiatry · doi:10.1038/s41380-025-03041-w · Cited by 65 · see citing works
Cellular reprogramming as a tool to model human aging in a dish
Pitrez, P. R., Monteiro, L. M., Borgogno, O., Nissan, X., Mertens, J., & Ferreira, L. (2024) · Nature Communications · doi:10.1038/s41467-024-46004-5 · Cited by 49 · see citing works
Frost, B., & Dubnau, J. (2024) · Annual Review of Neuroscience · doi:10.1146/annurev-neuro-082823-020615 · Cited by 45 · see citing works
de Luzy, I. R., Lee, M. K., Mobley, W. C., & Studer, L. (2024) · Nature Aging · doi:10.1038/s43587-024-00586-3 · Cited by 36 · see citing works
Immune modulation to treat Alzheimer’s disease
Duggan, M. R., Morgan, D., Price, B. R., Rajbanshi, B., Martín‐Peña, A., Tansey, M. G., & Walker, K. A. (2025) · Molecular Neurodegeneration · doi:10.1186/s13024-025-00828-x · Cited by 39 · see citing works
Sullivan, A. C., Zuniga, G., Ramirez, P., Fernandez, R. A., Wang, C., Li, J., Davila, L., Pelton, K., Gomez, S., Sohn, C., et al. (2025) · npj Dementia · doi:10.1038/s44400-024-00001-z · Cited by 33 · see citing works
“Elevated plasma A β 42/ 40 suggests a potentially protective effect of 3TC on the amyloid accumu-lationinthebrain,inlinewithrecentworkreportingreducedA β depositsin induced neurons from patients with late-onset Alzheimer ’ s disease in response to 3TC exposure 42 .”
Soudy, M., Bars, S. L., & Glaab, E. (2024) · Alzheimer s & Dementia · doi:10.1002/alz.14476 · Cited by 25 · see citing works
“18 To address this knowledge gap, our study exploits this comprehensive single-cell transcriptome atlas to investigate sex-related dysreg-ulations in AD at unprecedented resolution and scale.”
Kajtez, J., Nilsson, F., Laurin, K., Bruzelius, A., Cepeda-Prado, E., Birtele, M., Barker, R. A., Herborg, F., Ottosson, D. R., Storm, P., et al. (2025) · Science Advances · doi:10.1126/sciadv.adq7855 · Cited by 16 · see citing works
“…the 3D environment for direct glia- to-neuron conversion ( 48 ) as well as miRNA-mediated direct hDF reprogramming into cortical neurons inside 3D hydrogels for modeling of late-onset neurodegeneration ( 45 ) where the 3D environment is key to investigating the extracellular pathological deposits.”
Cell reprogramming: methods, mechanisms and applications
Zhu, F., & Nie, G. (2025) · Cell Regeneration · doi:10.1186/s13619-025-00229-x · Cited by 24 · see citing works
“It remains a significant challenge to mimic the age-associated neuropathological hallmarks of sporadic, late-onset AD (LOAD), accounting for the vast majority of cases. iPSCs–derived cortical neurons/brain organoids have limited ability to reflect age-associated characteristics due to the finding that the induction of…”
InfluentialAre oligodendrocytes bystanders or drivers of Parkinson’s disease pathology?
Campos, J. M. S., Burbulla, L., & Jäkel, S. (2025) · PLoS Biology · doi:10.1371/journal.pbio.3002977 · Cited by 13 · see citing works
Research models to study lewy body dementia
Boschen, S. L., Mukerjee, A. A., Faroqi, A. H., Rabichow, B. E., & Fryer, J. D. (2025) · Molecular Neurodegeneration · doi:10.1186/s13024-025-00837-w · Cited by 15 · see citing works
“[192] simplifying complex biological systems into manageable models with a minimal number of parameters.”
Peripheral immune and metabolic regulation of Aβ and Tau by exercise in Alzheimer’s disease
Yu, Y., & Chen, K. (2025) · Frontiers in Immunology · doi:10.3389/fimmu.2025.1678526 · Cited by 12 · see citing works
“Non-coding RNAs, particularly microRNAs (miRNAs), are increasingly recognized as peripheral signaling mediators with relevance to AD (199).”
Progress in precision drug delivery systems for neurodegenerative diseases with muscle atrophy
Zhang, G., Hu, F., Zhang, Y., Li, D., Deng, Y., Yang, M., Huang, T., Deng, X., Li, Y., Fu, C., et al. (2026) · Neuropharmacology · doi:10.1016/j.neuropharm.2026.111027 · Cited by 12 · see citing works
Approaches for studying neuroimmune interactions in Alzheimer’s disease
Lin, C., Tian, Y., Tanzi, R. E., & Jorfi, M. (2024) · Trends in Immunology · doi:10.1016/j.it.2024.10.002 · Cited by 10 · see citing works
Self-citationZhang, C., Saurat, N. G., Cornacchia, D., Chung, S. Y., Sikder, T., Nemchik, A., Minotti, A. P., Studer, L., & Betel, D. (2025) · Aging Cell · doi:10.1111/acel.70075 · Cited by 14 · see citing works
“An alternative approach to incorporate age into stem cell models is to directly convert primary fibroblasts from young and old individuals to induced neurons (iNs) by the forced expression of Ngn2 and Ascl1 (Mertens et al. 2015; Pang et al. 2011; Yoo et al. 2011) or expression of miR-9/9*- 124 along with NEUROD2 and M…”
Cell and tissue reprogramming: Unlocking a new era in medical drug discovery
Sen, C. K., Friday, A. J., & Roy, S. (2025) · Pharmacological Reviews · doi:10.1016/j.pharmr.2025.100077 · Cited by 9 · see citing works
Controlled Nanozyme-Substrate Accessibility for Ultrasensitive Electrochemical Detection of miRNA
Chen, X., Huang, Y., Chen, W., et al. (2026) · Analytical Chemistry · doi:10.1021/acs.analchem.5c06386 · Cited by 9 · see citing works
New approaches for understanding the potential role of microbes in Alzheimer's disease
Whitson, H. E., Banks, W. A., Diaz, M. M., Frost, B. E., Kellis, M., Lathe, R., Schmader, K. E., Spudich, S., Tanzi, R. E., & Garden, G. A. (2024) · Brain Behavior & Immunity - Health · doi:10.1016/j.bbih.2024.100743 · Cited by 8 · see citing works
Self-citationLi, Y.-Y., & Tay, F. R. (2026) · Ageing Research Reviews · doi:10.1016/j.arr.2026.103009 · Cited by 7 · see citing works
Neurodegenerative Diseases: Molecular Mechanisms and Therapies 2nd Edition
Zhou, Z., & Kihara, A. H. (2024) · International Journal of Molecular Sciences · doi:10.3390/ijms252111334 · Cited by 7 · see citing works
Mi, S., Nakashima, H., & Nakashima, K. (2025) · Epigenomes · doi:10.3390/epigenomes9040038 · Cited by 5 · see citing works
Luo, C., Zuo, R., Lu, S., Zhang, G., Xu, D., & Guo, C. (2026) · TrAC Trends in Analytical Chemistry · doi:10.1016/j.trac.2026.118807 · Cited by 6 · see citing works
Li, S., Liu, Y., Luo, X., & Hong, W. (2024) · International Journal of Molecular Sciences · doi:10.3390/ijms26010230 · Cited by 7 · see citing works
D’Ignazio, L., Lorenzetti, A. P. R., Penney, E. B., Evans, T. A., Qamar, B., McCord, A. E., Feltrin, A. S., Barbosa, A. R., Sheehan, B. J., Araújo, B. H. S., et al. (2025) · Cell Reports · doi:10.1016/j.celrep.2025.115812 · Cited by 5 · see citing works
Research progress of exosomes used in the Alzheimer's disease treatment
Gao, X., Yang, K., Yuan, X., Song, M., Wang, T., & Shen, C. (2025) · Discover Nano · doi:10.1186/s11671-025-04361-0 · Cited by 6 · see citing works
“Its metabolic pathway involves various proteases, including α-secretase, β-secretase (BACE1) and γ-secretase [21].”
Huang, Q., Lv, Y. M., Ye, X. W., Xia, X., Chen, Y., Wang, X., Tong, F., Yang, W., Bozorov, K. A., Shevtsov, M. A., et al. (2026) · Journal of Controlled Release · doi:10.1016/j.jconrel.2026.114896 · Cited by 6 · see citing works
Modelling sex differences of neurological disorders in vitro
Castro‐Aldrete, L., Einsiedler, M., Cuní‐López, C., Vanhaelen, Q., Silvestri, A., Ferretti, M. T., de Gennaro, M. E., Putignano, G., Guix, M., Marino, N., et al. (2025) · Nature Reviews Bioengineering · doi:10.1038/s44222-025-00355-w · Cited by 4 · see citing works
“Sex-specific differences using iPSC-derived cells have been observed 151–153 .”
Jalali, H., Rahimian, S., Shahsavarian, N., Norouzi, R., Ahmadiyeh, Z., Najafi, H., & Golchin, H. (2024) · Life Sciences · doi:10.1016/j.lfs.2024.123198 · Cited by 4 · see citing works
Let-7 Family as a Mediator of Exercise on Alzheimer’s Disease
Ke, S., Liu, Z., & Wan, Y. (2025) · Cellular and Molecular Neurobiology · doi:10.1007/s10571-025-01559-9 · Cited by 3 · see citing works
“Vital components in its advancement consist of the accumulation of Aβ plaques, twisted NFTs made up of hyperphosphorylated tau protein, continuous neuroinflammation, and eventual harm to nerve cells (Sun et al. 2024; Kok et al. 2022).”
MicroRNA and Alzheimer’s disease: Diagnostic biomarkers and potential therapeutic targets
Huang, Y., Chen, Y., He, Z., Lu, W., Lai, H., Wang, Y., & Wang, J. (2025) · Neural Regeneration Research · doi:10.4103/nrr.nrr-d-25-00002 · Cited by 3 · see citing works
“In addition, considering the differences between primate and rodent models, more appropriate preclinical models have to be selected for studies.”
Emerging directions in tauopathy research
Buée, L., Wildsmith, K. R., Alladi, S., Bertucci, T. B., Boche, D., Bowles, K. R., Boxer, A. L., Brummet, J., DeVos, S. L., Diaz, K., et al. (2026) · Alzheimer s & Dementia · doi:10.1002/alz.71431 · Cited by 3 · see citing works
“64 Collectively, iPSC-derived vascular systems and directly reprogrammed neurons provide complementary platforms to study how vascular dysfunction, genetic risk factors, and cellular aging intersect to drive neurodegeneration.”
Self-citationShort Peptides Protect Fibroblast-Derived Induced Neurons from Age-Related Changes
Kraskovskaya, N., Linkova, N. S., Sakhenberg, E. I., Kriger, D. V., Polyakova, V. O., Медведев, Д. С., Krasichkov, A. S., Георгиевич, Х. М., & Ryzhak, G. A. (2024) · International Journal of Molecular Sciences · doi:10.3390/ijms252111363 · Cited by 3 · see citing works
“Before this, the donor underwent the necessary medical examination and signed a voluntary informed consent.”
BackgroundOpening new frontiers with catalytic nucleic acids in miRNA inhibition
Patutina, O., Miroshnichenko, S. K., Chiglintseva, D., & Аркадьевна, З. М. (2025) · Frontiers in Pharmacology · doi:10.3389/fphar.2025.1604711 · Cited by 3 · see citing works
“Similarly, their contribution to reprogramming fi broblasts into neurons, and modulating epigenetic modi fi cations underscores their pivotal role in neurodevelopmental and psychiatric disorders (Colit ă et al., 2024; Sun et al., 2024).”
Shafik, A. M., & Jin, P. (2025) · Neurochemistry International · doi:10.1016/j.neuint.2025.106037 · Cited by 2 · see citing works
Bury, A. G., Olejnik, A., Tocco, C., Saurat, N. G., Stephen, E., Hockemeyer, D. F., Schwamborn, J. C., Studer, L., Mastroberardino, P. G., Bolognin, S., et al. (2025) · npj Parkinson s Disease · doi:10.1038/s41531-025-01137-2 · Cited by 3 · see citing works
“This could potentially be achievedby the co-cultureofdifferentreprogrammed cell types, butsuccess in this area has thus far been limited 104,163,186,196 – 199 .”
McDaid, G., Vanek, J., Cromer, B. A., & Sümer, H. (2025) · Biomedicines · doi:10.3390/biomedicines13112783 · Cited by 2 · see citing works
“By use of brain-enriched microRNAs (miR-9/9* and miR-124) in combination with neuronal TFs NEUROD2 and MYT1L, fibroblasts from individuals with late-onset AD can be efficiently reprogrammed into cortical neurons within a 3D culture environment [69].”
Qian, L., Rosa, J. S., & Julia, T. C. W. (2026) · STAR Protocols · doi:10.1016/j.xpro.2025.104339 · Cited by 2 · see citing works
Using iPSC models to examine neuron–glia interactions in neurodegenerative diseases
Lopez, D. M., Keavey, L., & Bowles, K. R. (2026) · Bioscience Reports · doi:10.1042/bsr20250131 · Cited by 2 · see citing works
“Direct reprogramming of donated human fibroblasts and other cell types in vitro is now being leveraged to generate neurons retaining age-and disease-related transcriptional profiles and molecular changes [45,173–177].”
Li, M., Lan, M., Du, Y., Liu, Y., Zhang, H.-Y., Guo, M., Liu, S., Xia, H., Wu, Z., & Zheng, H. (2025) · Journal of Alzheimer s Disease · doi:10.1177/13872877251339762 · Cited by 2 · see citing works
“60,61 Neuronal cell loss in the hippocampus is a common feature in patients with AD.”
Wang, G., Duan, J., Sun, L., Pan, S., Liu, Q., Fu, K., Zhang, D., Yuan, X., Fan, B., Hu, B., et al. (2025) · International Journal of Biological Macromolecules · doi:10.1016/j.ijbiomac.2025.147874 · Cited by 3 · see citing works
Zhang, S., Liu, S., Qin, Y., Zhao, S., & Liu, H. (2025) · Coordination Chemistry Reviews · doi:10.1016/j.ccr.2025.217309 · Cited by 1 · see citing works
The application of directly induced neurons into neurodegenerative disease modeling
Matsumoto, K., & Maeda, S. (2025) · Neuroscience Research · doi:10.1016/j.neures.2025.104993 · Cited by 1 · see citing works
Advances in Astrocyte Research on Neuronal Death and Regeneration
Yuan, C. N., Cao, W.-X. N., Liu, M.-R. N., Wu, H. N., Cui, L.-Y. N., & Liu, Y.-J. N. (2025) · Journal of Integrative Neuroscience · doi:10.31083/jin42985 · Cited by 1 · see citing works
Prefoldin 5 is a microtubule-associated protein that suppresses Tau aggregation and neurotoxicityPreprint
Bisht, A., Pippadpally, S., Majumder, S., Gopi, A. T., Das, A., Sahi, C., Ramaswami, M., & Kumar, V. (2024) · eLife · doi:10.7554/elife.104691.3 · Cited by 4 · see citing works
“For example, recent compilations and analyses of proteomic data identified CCT components, TBCE, as well as Prefoldin subunits, including PFDN5, in AD tissue ( Hsieh et al., 2019 ; Tao et al., 2020 ; Ji et al., 2022 ; Aske-nazi et al., 2023 ; Leitner et al., 2024 ; Sun et al., 2024 ).”
Hebisch, M., Kamin, V., Cenini, G., Piazzesi, A., Bertan, F., Weykopf, B., Schlee, J., Kaniyappan, S., Washicosky, K. J., Kim, D. Y., et al. (2026) · Cell Reports Methods · doi:10.1016/j.crmeth.2026.101365 · Cited by 1 · see citing works
Three-dimensional direct neuronal reprogramming for modeling Alzheimer’s disease neuropathology
Sun, Z., Lee, Y., Walker, C. K., Karch, C. M. M., & Yoo, A. S. J. (2026) · Nature Protocols · doi:10.1038/s41596-026-01388-0 · Cited by 1 · see citing works
Self-citationLate onset Alzheimer’s disease: modeling disease hallmarks via in vitro 3D iNeuron cultures
Masserdotti, G. (2024) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-024-01999-7 · Cited by 1 · see citing works
Notch inhibition enhances morphological reprogramming of microRNA-induced human neurons
Burbach, K. F., Wu, S., & Yoo, A. S. J. (2024) · Stem Cells · doi:10.1093/stmcls/sxae079 · Cited by 1 · see citing works
Self-citationJalnapurkar, B., Le, D., Shainin, W., Zarcone, R., Bhatnagar, R., Chin, J., Corbin, C. K., Curt, C., Hodge, B. A., Martinez, F., et al. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.11.21.568079 · Cited by 1 · see citing works
Klinman, E., Kwon, J., Dolle, R. E., Pak, S. C., Silverman, G. A., Perlmutter, D. H., & Yoo, A. S. J. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.10.02.680077 · Cited by 1 · see citing works
Self-citationJi, Y., Mandal, P., Liu, J., Hu, W., Colon, B. D., Wan, C., Pan, R. W., Guo, D., Zhang, L., Gu, X., et al. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.07.06.736894 · Cited by 1 · see citing works
“For example, microRNA-reprogrammed neurons 24, 25 and neuronal chimera models with human neurons transplanted into amyloid-rich environments 22, 23 capture key aspects of human tau biology but typically generate limited or incomplete NFTs containing only SFs.”
Prefoldin 5 is a microtubule-associated protein that suppresses Tau-aggregation and neurotoxicityPreprint
Bisht, A., Pippadpally, S., Majumder, S., Gopi, A. T., Das, A., Sahi, C., Ramaswami, M., & Kumar, V. (2024) · eLife · doi:10.7554/elife.104691.1
Traxler, L., Karbacher, L., Borgogno, O., Ozbun, T., Champion, K., Smaling, A. S., Zhou-Yang, L., Herdy, J. R., Böhnke, L., Böckle, B. C., et al. (2026) · Aging Cell · doi:10.21203/rs.3.rs-6173768/v1
Licastro, F. (2025) · Biocell · doi:10.32604/biocell.2025.062303
“Sporadic Alzheimer’s disease (AD) is an age-related neurodegenerative disease and amyloid protein deposits and neurofibrillary tangles are considered pathology hallmarks of the AD brain [2].”
The Application of Directly Induced Neurons to Neurodegenerative Disease Research
Maeda, S. (2025) · Stem cell biology and regenerative medicine · doi:10.1007/978-3-031-94101-6_6
Stem Cell-Derived 3D Models to Study Alzheimer’s Disease
Inzunza, J., Demetriou, A., Muñoz, P., Arias, J., & Nalvarte, I. (2025) · Stem cell biology and regenerative medicine · doi:10.1007/978-3-031-94101-6_5
Fibrin-containing Hydrogels Regulate Human Astrocyte State and Neuronal ReprogrammingPreprint
Distler, T., Daga, K. K., Bürkle, M., Sepúlveda, S., Franze, K., Götz, M., & Masserdotti, G. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.11.05.686711
“…direct conversion of human fibroblasts into induced neurons in 3D has already been shown 68–70 and recently demonstrated for human glia spheroids 71 , we revealed for the first time how the specific ECM environment alters cell state and significantly contributes to shape the direct conversion…”
Prefoldin 5 is a microtubule-associated protein that suppresses Tau-aggregation and neurotoxicityPreprint
Bisht, A., Pippadpally, S., Majumder, S., Gopi, A. T., Das, A., Sahi, C., Ramaswami, M., & Kumar, V. (2025) · eLife · doi:10.7554/elife.104691.2
Epigenetic Changes in Alzheimer’s Disease and Interventions for Therapy
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“108,131 miRNA mimics or inhibitors can be employed to modulate miRNA expression.”
Modeling Late-Onset Sporadic Alzheimer’s Disease Using Patient-Derived Cells: A Review
Katbe, A., Diagne, I., & Bernier, G. (2026) · Neurology International · doi:10.3390/neurolint18010017
“They reprogrammed somatic cells with micro-RNA, specifically miR-9/9* and miR-124 (miR-9/9*-124), and with two transcription factors, NEUROD2 and MYT1L [46].”
InfluentialTransposable elements in the dark genome
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“38 Iron also facilitates Tau hyperphosphorylation through activation of cyclin-dependent kinase 5 (CDK5) and glycogen synthase kinase-3β (GSK-3β); additionally, Fe 3+ binds to histidine residues on Tau, promoting the assembly of NFTs. 39 This iron-driven feed-forward loop involving Aβ and Tau…”
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Direct neuronal reprogramming: emerging therapeutic strategies for neurodegenerative disorders
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“Trials using Ptbp1 and CRISPR-CasRx technology in mice has also demonstrated high efficiency causing the study to advance to Phase II/III trials [103].”
Fibrin hydrogels regulate human astrocyte state and neuronal reprogramming
Distler, T., Daga, K. K., Bürkle, M., Vásquez-Sepúlveda, S., Franze, K., Götz, M., & Masserdotti, G. (2026) · Cell Biomaterials · doi:10.1016/j.celbio.2026.100493
CDKN1A protects medium spiny neurons from Huntington's disease pathology
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Self-citationModeling Alzheimer’s disease with brain organoids: mechanisms, applications, and future directions
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Efficient chemical reprogramming of human T cells into functional megakaryocytes and platelets
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“Direct lineage reprogramming techniques can facilitate the generation of desired cell types suitable for cell therapy applications ( 8 , 9 ).”
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“Interestingly, brain-enriched miRNAs could exert highly efficient effects on neuronal reprogramming to generate sporadic late-onset AD (LOAD) neurons in a three-dimensional environment, recapitulating pathological features, including A β deposition, tauopathy, and neurodegeneration [35].”
Cytoplasmic DNA Sensing Links LINE-1 Expression to Neuronal Senescence in Alzheimer’s DiseasePreprint
Herdy, J. R., Taylor, E. E., Karbacher, L., Borgogno, O., Traxler, L., Lagerwall, J., Huynh, V. A., Lefterova, Z. V., Kang, A., Tosat‐Bitrián, C., et al. (2026) · SSRN Electronic Journal · doi:10.64898/2026.07.27.740588
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“In addition, three-dimensional cultures, spheroids, organoids, and microfluidic platforms can support longer maturation and more complex cell–cell interactions than conventional two-dimensional cultures (Giacomoni et al., 2025; Kajtez et al., 2025; Sun et al., 2024).”
InfluentialYeganeh, P. N., Matai, L., Adewale, Q., Castanho, I., Rodrigues, A., Mavrikaki, M., Vlachos, I. S., Slack, F. J., & Hide, W. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.08.04.737285
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Self-citationAn age-preserving neuronal iSpheroid platform for modeling human aging and Alzheimer’s diseasePreprint
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- Authors
- Sun, Z., Kwon, J.-S., Ren, Y., Chen, S., Walker, C. K., Lu, X., Cates, K., Karahan, H., Sviben, S., Fitzpatrick, J. A. J., Valdez, C., Houlden, H., Karch, C. M., Bateman, R. J., Sato, C., Mennerick, S. J., Diamond, M. I., Kim, J., Tanzi, R. E., Holtzman, D. M., & Yoo, A. S.
- Affiliations
- Washington University in St. Louis (US)
- Indiana University Indianapolis (US)
- The University of Texas Southwestern Medical Center (US)
- National Hospital for Neurology and Neurosurgery (GB)
- Harvard University (US)
- Corresponding author
- Yoo, Andrew S.
- ORCID
- Venue
- Science
- Published
- 2024-08-02
- Volume
- 385
- Issue
- 6708
- Pages
- adl2992-adl2992
- ISSN
- 0036-8075 (ISSN-L)
- 1095-9203
- PMC
- PMC11787906
- OpenAlex
- W4401211160
- Semantic Scholar
- 2a2376e4046ae40c5d66bbb1e71072967b998b90
- Cited by
- 77
- References
- 111
- Citations by year
- 2026: 28 · 2025: 32 · 2024: 16 · 2023: 1
- FWCI
- 17.88
- Type
- journal article
- Language
- en
- Update notices
- correction (2026-09-24)
- Open access
- green
- doi.org
- Locations
- Science (publishedVersion)
- bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion)
- PubMed (publishedVersion)
- IUScholarWorks (Indiana University) (submittedVersion)
- UCL Discovery (University College London) (submittedVersion)
- PubMed Central (submittedVersion)
- Funders
- Brown University
- University of Pennsylvania
- Cure Alzheimer's Fund
- University of Texas Southwestern Medical Center
- Children's Discovery Institute (CDI-CORE-2019-813, CDI-CORE-2015-505)
- Centene Corporation
- National Institutes of Health (1rf1ag056296-01, R01AG078964, AG066444)
- Center for Cellular Imaging, Washington University
- Charles F. and Joanne Knight Alzheimer Disease Research Center, Washington University in St. Louis
- National Institute on Aging (RF1 AG056296, R01 AG078964, AG066444, P30AG066444)
- National Institute of Mental Health (P50 MH122379, R01MH123748)
- National Institute of Neurological Disorders and Stroke (R01NS107488)
- Topics
- Health Sciences › Medicine › Physiology › Alzheimer's disease research and treatments
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Pluripotent Stem Cells Research
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Keywords
- late-onset Alzheimer's disease, neuronal reprogramming, microRNA, amyloid-beta deposition, tau tangles, neurodegeneration, beta-secretase inhibitors, gamma-secretase inhibitors, autosomal dominant Alzheimer's disease, transposable elements, disease modeling, 3D cell culture
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