ELAVL4, splicing, and glutamatergic dysfunction precede neuron loss in MAPT mutation cerebral organoids
Open accessAbstract
Frontotemporal dementia (FTD) because of MAPT mutation causes pathological accumulation of tau and glutamatergic cortical neuronal death by unknown mechanisms. We used human induced pluripotent stem cell (iPSC)-derived cerebral organoids expressing tau-V337M and isogenic corrected controls to discover early alterations because of the mutation that precede neurodegeneration. At 2 months, mutant organoids show upregulated expression of MAPT, glutamatergic signaling pathways, and regulators, including the RNA-binding protein ELAVL4, and increased stress granules. Over the following 4 months, mutant organoids accumulate splicing changes, disruption of autophagy function, and build-up of tau and P-tau-S396. By 6 months, tau-V337M organoids show specific loss of glutamatergic neurons as seen in individuals with FTD. Mutant neurons are susceptible to glutamate toxicity, which can be rescued pharmacologically by the PIKFYVE kinase inhibitor apilimod. Our results demonstrate a sequence of events that precede neurodegeneration, revealing molecular pathways associated with glutamate signaling as potential targets for therapeutic intervention in FTD.
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Written from the paper’s full text.
TL;DR
Human iPSC-derived cerebral organoids carrying the tau-V337M MAPT mutation show early ELAVL4 upregulation, glutamatergic/synaptic pathway changes, stress granules, splicing dysregulation, and autophagy-lysosomal dysfunction before later tau/P-tau accumulation and selective glutamatergic neuron loss. Glutamate-induced death of mutant neurons is rescued by PIKFYVE inhibition with apilimod or PIKFYVE ASO.
Key findings
- At 2 months, tau-V337M organoids show upregulated MAPT, glutamatergic signaling pathways, and ELAVL4, plus increased stress granules; by 6 months they show selective loss of excitatory neurons in deep-layer (ExDp2, p = 0.004), maturing (ExM, p = 0.003), and newborn (ExN, p = 0.0001) categories, with no effect on interneurons or astrocytes.
- Splicing dysregulation increases from 190 differentially spliced junctions at 2 months to over 5,000 at 6 months; tau and P-tau S396/total tau ratio increase between 4 and 6 months, while LAMP1 and CTSD are increased at 2 months and p62 and LC3-II are reduced at 6 months.
- ELAVL4 binds MAPT RNA and co-localizes with tau and stress granule markers TIA1/G3BP1; over 50% of differentially spliced genes at later time points overlap with neuronal ELAVL-bound RNA.
- Repeated 5 mM glutamate triggers more rapid loss of tau-V337M neurons than isogenic controls (p < 0.0001); apilimod fully rescues this death (p < 0.0001), and PIKFYVE ASO improves survival in mutant (p < 0.0001) but not control neurons (p = 0.5369).
Methods
- Human iPSC lines from three tau-V337M donors and isogenic CRISPR-corrected controls (seven lines total) were differentiated into cerebral organoids and assessed at 2, 4, and 6 months.
- Bulk RNA-seq was performed on 239 organoids (V337M n = 99, V337V n = 140); cell-hashing scRNA-seq was performed on 339 organoids, yielding 379,064 cells (V337M n = 161,706, V337V n = 217,358).
- Analyses included SingleR annotation, Seurat/SCTransform, UMAP, Monocle3 pseudotime, GSEA/IPA, LeafCutter splicing, nELAVL RIP-seq intersection, pseudobulk network analysis, IHC/immunoblot/EM, and longitudinal Synapsin1::GFP neuron survival with glutamate, apilimod, or PIKFYVE ASO.
Limitations
- Stated: low 4R tau expression in the organoid model may miss effects of mutant 4R protein; generalizability to other MAPT mutations and sporadic tauopathies is unknown; microglia are not included; glutamatergic signaling findings require comprehensive electrophysiological validation; and the relative contribution of the identified changes remains to be determined.
- Evident from the text: organoid models do not accurately reflect adult aging, and variability between lines and individual organoids increased over time, indicating donor and clonal effects on long-term maturation.
Model-written summary. Check it against the paper before relying on it.
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Claims the paper makes
49 of 61 cited sources checked · 21 supported · 1 flagged · accuracy not yet measured
- Premisecitation
iPSC-based models derived from individuals with a MAPT mutation indicate molecular mechanisms underlying tauopathies.
“Despite this limitation, iPSC-based models derived from individuals with a MAPT mutation indicate molecular mechanisms underlying tauopathies (Gonzalez et al., 2018; lovino et al., 2015; Jiang et al., 2018; Nakamura et al., 2019; Silva et al., 2016, 2020; Wray, 2017).”
Quote in the paperSubstantial claim2 of 3 sources checked- cites Gonzalez et al., 2018 source
The Results identify the patient-derived iPSC model as familial Alzheimer’s disease with a presenilin 1 mutation and Down syndrome, not a MAPT mutation. The Discussion explicitly says tau developed a pathological phenotype in these organoids “without any mutations in the tau gene.” No page number is available in our copy. (LLM, conf=0.88)
Checked by a reasoning model — may be wrong.
Experimental — accuracy not yet measured - cites lovino et al., 2015
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites Jiang et al., 2018 source
- Findingcitation
Organoid development followed the expected temporal changes.
“Organoid development followed the expected temporal changes (Lancaster et al., 2013; Velasco et al., 2019; Watanabe et al., 2017; Yoon et al., 2019; Figures 1B–1D; Figure S1A).”
Quote in the paperNot a substantial claim3 of 3 sources checked - Premisecitation
Little 4R tau is expressed in iPSC-derived models without a splice-site mutation.
“This is important because little 4R tau is expressed in induced pluripotent stem cell (iPSC)-derived models without a splice-site mutation (lovino et al., 2015; Sato et al., 2018; Sposito et al., 2015; Verheyen et al., 2018).”
Quote in the paperSubstantial claim2 of 3 sources checked- cites lovino et al., 2015
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites Sato et al., 2018 source
- cites Sposito et al., 2015 source
The Results section reports no detectable 4R tau mRNA in control iPSC-derived cortical neurons through 100 days of differentiation, supporting the claim for those cultures. But the Results section on extended culture reports robust 4R expression in control neurons at 365 days, so the unqualified statement does not hold across all culture durations. (LLM, conf=0.86)
Experimental — accuracy not yet measured
- Interpretationcitation
The increased tau burden with age in tau-V337M organoids mirrors prior observations in 2D iPSC-derived neuronal models and in the human V337M brain.
“The increased tau burden with age mirrors prior observations in 2D iPSC-derived neuronal models (Ehrlich et al., 2015; Fong et al., 2013; lovino et al., 2015; Silva et al., 2016, 2020; Wren et al., 2015) and in the human V337M brain (Spillantini et al., 1996; Spina et al., 2017).”
Quote in the paperNot a substantial claim2 of 3 sources checked- cites Ehrlich et al., 2015 source
The Results section, “Altered Expression of TAU in FTDP-17 iPSC-Derived Neurons” (page unavailable), reports increased tau fragments and increased AT8-positive phosphorylated tau in V337M non-dopaminergic iPSC-derived neurons compared with controls. It does not report that tau burden increased as the neurons aged. Ehrlich et al. is cited for the 2D neuronal-model comparison, not for the separate claim about the human V337M brain. (LLM, conf=0.86)
Experimental — accuracy not yet measured - cites Fong et al., 2013 source
The Results section reports increased phosphorylated tau accumulation in 2D iPSC-derived neurons carrying MAPT A152T. It describes an increase with mutation gene dose, not with age, and does not study V337M. The human V337M brain observation is attributed to other citations in the citing sentence. (LLM, conf=0.88)
Experimental — accuracy not yet measured - cites lovino et al., 2015
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Premisecitation
PIKFYVE inhibition improves proteostasis in neurons.
“improves proteostasis in neurons (Shi et al., 2018; Staats et al., 2019).”
Quote in the paperSubstantial claim2 of 2 sources checked- cites Shi et al., 2018 source
In “Small molecule and genetic regulators of endosomal trafficking rescue patient iMN survival” (page unavailable), the paper reports that PIKFYVE inhibition lowers glutamate-receptor levels and improves survival in C9ORF72 patient motor neurons. It proposes that increased autophagosome–lysosome fusion may help remove dipeptide repeat proteins, but does not establish a general improvement in neuronal proteostasis. (LLM, conf=0.84)
Experimental — accuracy not yet measured - cites Staats et al., 2019 source
The Main text reports that PIKFYVE inhibition reduced dipeptide-repeat protein aggregates in hippocampal neurons of C9ORF72 mouse models and increased lysosome numbers in C9ORF72-deficient hippocampal neurons. These findings support improved handling of disease-associated proteins, but the paper does not establish a general improvement in neuronal proteostasis beyond those models. (LLM, conf=0.82)
Experimental — accuracy not yet measured
- Findingcitation
ELAVL4 is selectively expressed in neuronal populations vulnerable to cell death in tau-V337M organoids.
“ELAVL4 is selectively expressed in neuronal populations vulnerable to cell death in tau-V337M organoids, consistent with its reported expression in the brain (Bronicki and Jasmin, 2013; DeBoer et al., 2014).”
Quote in the paperSubstantial claim2 of 2 sources checked - Premisecitation
ELAVL4 co-localizes with FUS in cytoplasmic speckles and stress granules.
“co-localizes with FUS in cytoplasmic speckles and stress granules”
Quote in the paperSubstantial claim2 of 2 sources checked- cites Fallini et al., 2012 source
The Discussion states that HuD and a pathogenic FUS variant have both been shown to be components of stress granules. It does not establish that they co-localize with each other there or in cytoplasmic speckles; the paper’s co-localization findings concern HuD and TDP-43. (LLM, conf=0.86)
Experimental — accuracy not yet measured - cites De Santis et al., 2019 source
The Results section reports ELAVL4 co-localizing with mutant FUS in cytoplasmic speckles in HeLa cells overexpressing both proteins. It also reports co-localization in stress granules in mutant-FUS motor neurons after oxidative stress. The claim omits those conditions and could be read as applying to FUS generally; the paper says wild-type FUS remained nuclear in the stressed motor neurons. (LLM, conf=0.88)
Experimental — accuracy not yet measured
- Premisecitation
Apilimod has shown good tolerability in phase I and II clinical trials.
“apilimod has shown good tolerability in phase I and II clinical trials (Ikonomov et al., 2011; Sands et al., 2010)”
Quote in the paperSubstantial claim1 of 2 sources checked- cites Ikonomov et al., 2011 source
The Experimental Procedures describe mouse embryos, fibroblasts, and the inhibitor YM201636, but do not address apilimod’s clinical tolerability. Searches for apilimod, phase I and II trials, and tolerability found no relevant passage in our copy. (LLM, conf=0.75)
Experimental — accuracy not yet measured - cites Sands et al., 2010 source
- Findingown data
At 2 months, tau-V337M mutant organoids show increased stress granules.
“At 2 months, mutant organoids show upregulated expression of MAPT, glutamatergic signaling pathways, and regulators, including the RNA-binding protein ELAVL4, and increased stress granules.”
Quote in the paperNot a substantial claim - Findingown data
There was no effect on interneuron or astrocyte numbers in tau-V337M organoids.
“In contrast, there was no effect on interneuron or astrocyte numbers (Figure S2C).”
Quote in the paperSubstantial claim - Findingown data
At 6 months, tau-V337M organoids show a significant reduction in excitatory neurons in deep-layer (ExDp2), maturing (ExM), and newborn (ExN) categories relative to V337V.
“Although there were no differences in neuronal proportions at 2 or 4 months, there was a significant reduction in excitatory neurons in deep-layer (ExDp2, p = 0.004), maturing (ExM, p = 0.003), and newborn (ExN, p = 0.0001) categories in 6-month tau-V337M organoids relative to V337V (Figure 2A).”
Quote in the paperSubstantial claim - Findingown data
Variability between lines and individual organoids increased over time.
“Although all lines showed the same overall maturation pattern, variability between lines and individual organoids increased over time (Figures 1C and 1D; Figure S1A), indicating donor and clonal effects on long-term maturation.”
Quote in the paperNot a substantial claim - Findingown data
By 6 months, tau-V337M organoids show specific loss of glutamatergic neurons.
“By 6 months, tau-V337M organoids show specific loss of glutamatergic neurons as seen in individuals with FTD.”
Quote in the paperSubstantial claim - Findingown data
Over the following 4 months, mutant organoids build up tau and P-tau-S396.
“Over the following 4 months, mutant organoids accumulate splicing changes, disruption of autophagy function, and build-up of tau and P-tau-S396.”
Quote in the paperSubstantial claim - Findingown data
Over the following 4 months, mutant organoids accumulate splicing changes.
“Over the following 4 months, mutant organoids accumulate splicing changes, disruption of autophagy function, and build-up of tau and P-tau-S396.”
Quote in the paperSubstantial claim - Findingown data
At 2 months, tau-V337M mutant organoids show upregulated expression of regulators including ELAVL4.
“At 2 months, mutant organoids show upregulated expression of MAPT, glutamatergic signaling pathways, and regulators, including the RNA-binding protein ELAVL4, and increased stress granules.”
Quote in the paperSubstantial claim - Findingown data
Over the following 4 months, mutant organoids show disruption of autophagy function.
“Over the following 4 months, mutant organoids accumulate splicing changes, disruption of autophagy function, and build-up of tau and P-tau-S396.”
Quote in the paperSubstantial claim - Findingown data
At 2 months, tau-V337M mutant organoids show upregulated expression of MAPT.
“At 2 months, mutant organoids show upregulated expression of MAPT, glutamatergic signaling pathways, and regulators, including the RNA-binding protein ELAVL4, and increased stress granules.”
Quote in the paperSubstantial claim - Findingown data
Tau-V337M-enriched astrocyte clusters show upregulation of IL-6, IL-8, and neuroinflammation signaling pathways across all three isogenic pairs at 4-6 months.
“Differential gene expression and Ingenuity Pathway Analysis (IPA) of tau-V337M-enriched astrocyte clusters in scRNA-seq data revealed upregulation of interleukin-6 (IL-6) signaling (Z score = 0.54–1.46, p = 2.26 × 10−1–1.8–10−2), interleukin-8 (IL-8) signaling (Z score = 0.67–1.28, p = 5.73 × 10−4_9.64 × 10−5) and neuroinflammation signaling (Z score = 0.13–3.0, p = 2 × 10−1-2.6 × 10−3) pathways”
Quote in the paperSubstantial claim - Findingown data
Glutamate toxicity in mutant neurons can be rescued pharmacologically by the PIKFYVE kinase inhibitor apilimod.
“Mutant neurons are susceptible to glutamate toxicity, which can be rescued pharmacologically by the PIKFYVE kinase inhibitor apilimod.”
Quote in the paperSubstantial claim - Findingown data
At 2 months, tau-V337M mutant organoids show upregulated expression of glutamatergic signaling pathways.
“At 2 months, mutant organoids show upregulated expression of MAPT, glutamatergic signaling pathways, and regulators, including the RNA-binding protein ELAVL4, and increased stress granules.”
Quote in the paperSubstantial claim - Findingown data
At 2 months, all organoids had a similar cell composition with a large proportion of deep-layer excitatory (ExDp2) neurons.
“At 2 months, all organoids had a similar cell composition with a large proportion of deep-layer excitatory (ExDp2) neurons (Figures 1B and 1C).”
Quote in the paperSubstantial claim - Findingown data
Mutant neurons are susceptible to glutamate toxicity.
“Mutant neurons are susceptible to glutamate toxicity, which can be rescued pharmacologically by the PIKFYVE kinase inhibitor apilimod.”
Quote in the paperSubstantial claim - Findingown data
GRM5 and other LTP pathway genes were upregulated in tau-V337M organoids.
“which were upregulated in tau-V337M organoids.”
Quote in the paperSubstantial claim - Findingown data
Neuronal differentiation pathways were accelerated in tau-V337M neurons over pseudotime.
“neuronal differentiation pathways were accelerated in tau-V337M neurons over pseudotime”
Quote in the paperSubstantial claim - Findingown data
Susceptibility to glutamate-induced neuronal death in tau-V337M neurons can be blocked by treatment with the PIKFYVE inhibitor apilimod.
“We demonstrate that susceptibility to glutamate-induced neuronal death in tau-V337M neurons can be blocked by treatment with the PIKFYVE inhibitor apilimod and through knockdown of PIKFYVE mRNA using an ASO.”
Quote in the paperSubstantial claim - Findingown data
IHC of 2-month cerebral organoids revealed LAMP1 and p62 primarily in neurons, similar to the staining pattern in the brain from an adult individual.
“IHC of 2-month cerebral organoids revealed LAMP1 and p62 primarily in neurons, similar to the staining pattern in the brain from an adult individual, indicating that the predominant ALP dysfunction is neuronal (Figures S3A and S3B), consistent with increased lamellar bodies observed in neurons by EM (Figures 2E and 2F).”
Quote in the paperSubstantial claim - Findingown data
ELAVL4 co-localized with tau protein and the stress granule markers TIA1 and G3BP1.
“We observed ELAVL4 co-localized with tau protein and the stress granule markers TIA1 and G3BP1.”
Quote in the paperNot a substantial claim - Findingown data
There was no significant dysregulation of ALP in the transcriptomics data.
“Notably, we did not observe significant dysregulation of ALP in our transcriptomics data, indicating dysfunction at the protein level.”
Quote in the paperSubstantial claim - Findingown data
Pathway analysis of mutant-enriched glutamatergic neuron clusters showed downregulation of neuronal differentiation pathways at 2 months.
“Our pathway analysis of mutant-enriched glutamatergic neuron clusters showed downregulation of neuronal differentiation pathways at 2 months”
Quote in the paperSubstantial claim - Findingown data
The key ALP markers LAMP1 and CTSD were increased significantly in tau-V337M organoids compared with isogenic controls at 2 months.
“The key ALP markers LAMP1 and CTSD were increased significantly in tau-V337M organoids compared with isogenic controls at 2 months (Figures 2G and 2I), indicating alterations in lysosomal degradation and proteolytic cleavage of pro-CTSD.”
Quote in the paperSubstantial claim - Findingown data
High-molecular-weight ubiquitinated species were increased significantly in tau-V337M organoids at 2 months.
“High-molecular-weight (HMW) ubiquitinated species were increased significantly in tau-V337M organoids at 2 months, suggesting disrupted degradation and accumulation of poly-ubiquitinated proteins and, thus, increased proteostasis stress in mutant organoids.”
Quote in the paperSubstantial claim - Findingown data
Susceptibility to glutamate-induced neuronal death in tau-V337M neurons can be blocked through knockdown of PIKFYVE mRNA using an ASO.
“We demonstrate that susceptibility to glutamate-induced neuronal death in tau-V337M neurons can be blocked by treatment with the PIKFYVE inhibitor apilimod and through knockdown of PIKFYVE mRNA using an ASO.”
Quote in the paperSubstantial claim - Findingnone given
ELAVL4 likely binds MAPT RNA at the 3′ UTR and exonic sites.
“Here we demonstrate that ELAVL4 likely binds MAPT RNA at the 3′ UTR and exonic sites.”
Quote in the paperSubstantial claim - Findingown data
NeuN quantification differed between mutant and isogenic control organoids at 4 months (n=24 vs 25, Mann-Whitney U=175, p=0.0119).
“(Figure 2C; NeuN, 4 months: nmutant = 24, nisogenic = 25, Mann-Whitney U = 175, p = 0.0119, 6 months: nmutant = 26, nisogenic = 34, Mann-Whitney U = 274, p = 0.0117; Figure S2B, MAP2, 6 months, nmutant = 29, nisogenic = 33, Mann-Whitney U = 303.5, p = 0.0060).”
Quote in the paperSubstantial claim - Findingown data
In Figure 7D, neuronal survival differed between mutant and isogenic control organoids (n=100 each, log-rank chi-sq=28.95, p<0.0001).
“Figure 7D: nisogenic = 100, nmutant = 100, Chi-sq = 28.95, p < 0.0001;”
Quote in the paperSubstantial claim - Findingown data
PIKFYVE inhibition prevents selective glutamatergic cell death.
“Our discovery that PIKFYVE inhibition prevents selective glutamatergic cell death encourages further study of the mechanism as a therapeutic strategy in FTD.”
Quote in the paperSubstantial claim - Findingown data
MAP2 quantification differed between mutant and isogenic control organoids at 6 months (n=29 vs 33, Mann-Whitney U=303.5, p=0.0060).
“(Figure 2C; NeuN, 4 months: nmutant = 24, nisogenic = 25, Mann-Whitney U = 175, p = 0.0119, 6 months: nmutant = 26, nisogenic = 34, Mann-Whitney U = 274, p = 0.0117; Figure S2B, MAP2, 6 months, nmutant = 29, nisogenic = 33, Mann-Whitney U = 303.5, p = 0.0060).”
Quote in the paperSubstantial claim - Findingown data
In Figure 7J, neuronal survival differed between mutant organoids treated with negative control and those treated with ASO (n=120 each, log-rank chi-sq=23.23, p<0.0001).
“Figure 7J: nmutant+nc = 120, nmutant+ASO = 120, Chi-sq = 23.23, p < 0.0001;”
Quote in the paperSubstantial claim - Findingown data
Relative mRNA expression differed between organoids transduced with negative control and those transduced with ASO (n=6 each, two-tailed unpaired Student's t test, p=0.0095).
“Analysis of relative mRNA expression through qRT-PCR in organoids transduced with ASO in Figure 7I (nnc = 6, nASO = 6, p = 0.0095) were performed using two-tailed unpaired Student’s t test”
Quote in the paperSubstantial claim - Findingown data
In Figure 7G, neuronal survival differed between mutant organoids treated with glutamate and those treated with apilimod (n=120 each, log-rank chi-sq=18.09, p<0.0001).
“Figure 7G: nmutant+glutamate = 120, nmutant+3i = 120, Chi-sq = 27.88, p < 0.0001, nmutant+apilimod = 120, Chi-sq = 18.09, p < 0.0001;”
Quote in the paperSubstantial claim - Findingown data
NeuN quantification differed between mutant and isogenic control organoids at 6 months (n=26 vs 34, Mann-Whitney U=274, p=0.0117).
“(Figure 2C; NeuN, 4 months: nmutant = 24, nisogenic = 25, Mann-Whitney U = 175, p = 0.0119, 6 months: nmutant = 26, nisogenic = 34, Mann-Whitney U = 274, p = 0.0117; Figure S2B, MAP2, 6 months, nmutant = 29, nisogenic = 33, Mann-Whitney U = 303.5, p = 0.0060).”
Quote in the paperSubstantial claim - Findingown data
G3BP1 protein levels in V337M organoids differed from isogenic controls (n=6 per group, unpaired Student's t test, p ≤ 0.01).
“Protein levels of G3BP1 (Figure 6F) in V337M organoids relative to the isogenic controls were determined for n = 6 per group from two independent experiments and statistical significance was calculated by unpaired Student’s t test **p ≤ 0.01”
Quote in the paperNot a substantial claim - Findingown data
In Figure S7D, neuronal survival differed between isogenic control organoids treated with glutamate and those treated with 3i (n=120 each, log-rank chi-sq=7.869, p=0.005).
“Figure S7D: nisogenic+glutamate = 120, nisogenic+3i = 120, Chi-sq = 7.869, p = 0.005;”
Quote in the paperSubstantial claim - Findingown data
Survival percentage at day 7 differed between V337V and V337M organoids (n=4 each, two-tailed unpaired Student's t test, p=0.0436).
“Survival % at day 7 across independent experiments in Figure 7E was performed using two-tailed unpaired Student’s t test: nV337V = 4, nV337M = 4, p = 0.0436).”
Quote in the paperNot a substantial claim - Findingown data
In Figure 7G, neuronal survival differed between mutant organoids treated with glutamate and those treated with 3i (n=120 each, log-rank chi-sq=27.88, p<0.0001).
“Figure 7G: nmutant+glutamate = 120, nmutant+3i = 120, Chi-sq = 27.88, p < 0.0001, nmutant+apilimod = 120, Chi-sq = 18.09, p < 0.0001;”
Quote in the paperSubstantial claim - Interpretationown data
Mutant organoids show increased neuroinflammation.
“Differential gene expression and Ingenuity Pathway Analysis (IPA) of tau-V337M-enriched astrocyte clusters in scRNA-seq data revealed upregulation of interleukin-6 (IL-6) signaling (Z score = 0.54–1.46, p = 2.26 × 10−1–1.8–10−2), interleukin-8 (IL-8) signaling (Z score = 0.67–1.28, p = 5.73 × 10−4_9.64 × 10−5) and neuroinflammation signaling (Z score = 0.13–3.0, p = 2 × 10−1-2.6 × 10−3) pathways”
Quote in the paperSubstantial claim - Interpretationown data
Molecular pathways associated with glutamate signaling are potential targets for therapeutic intervention in FTD.
“Our results demonstrate a sequence of events that precede neurodegeneration, revealing molecular pathways associated with glutamate signaling as potential targets for therapeutic intervention in FTD.”
Quote in the paperSubstantial claim - Interpretationown data
The results demonstrate a sequence of events that precede neurodegeneration.
“Our results demonstrate a sequence of events that precede neurodegeneration, revealing molecular pathways associated with glutamate signaling as potential targets for therapeutic intervention in FTD.”
Quote in the paperSubstantial claim - Interpretationown data
Donor and clonal effects influence long-term maturation of organoids.
“Although all lines showed the same overall maturation pattern, variability between lines and individual organoids increased over time (Figures 1C and 1D; Figure S1A), indicating donor and clonal effects on long-term maturation.”
Quote in the paperNot a substantial claim - Interpretationreasoning
ELAVL4-mediated splicing dysregulation resulting from its mislocalization and sequestration to stress granules may be a shared mechanism unifying FTD-tau with other familial forms of FTD.
“ELAVL4-mediated splicing dysregulation resulting from its mislocalization and sequestration to stress granules may therefore be a shared mechanism unifying FTD-tau with other familial forms of FTD.”
Quote in the paperSubstantial claim - Interpretationown data
The 6-month pattern of pro-CTSD, p62, and LC3-II suggests defects in proteolytic cleavage and activity.
“In contrast, pro-CTSD was increased significantly at 6 months in the absence of increased active CTSD, whereas sequestosome 1 (p62) and microtubule-associated protein 1A/1B-light chain 3 (LC3-II) were reduced significantly at the same time point (Figures 2H and 2I), suggesting defects in proteolytic cleavage and activity.”
Quote in the paperSubstantial claim - Interpretationown data
The predominant ALP dysfunction in tau-V337M organoids is neuronal.
“IHC of 2-month cerebral organoids revealed LAMP1 and p62 primarily in neurons, similar to the staining pattern in the brain from an adult individual, indicating that the predominant ALP dysfunction is neuronal (Figures S3A and S3B), consistent with increased lamellar bodies observed in neurons by EM (Figures 2E and 2F).”
Quote in the paperSubstantial claim - Interpretationown data
ALP dysfunction in tau-V337M organoids occurs at the protein level.
“Notably, we did not observe significant dysregulation of ALP in our transcriptomics data, indicating dysfunction at the protein level.”
Quote in the paperSubstantial claim - Interpretationcitation
Dysregulation of ELAVL4 may not be restricted to FTD-tau.
“Dysregulation of ELAVL4 may not be restricted to FTD-tau”
Quote in the paperSubstantial claim - Interpretationown data
The increased frequency of lamellar bodies in tau-V337M neurons suggests ALP dysfunction.
“Lysosome-related multi-membrane lamellar bodies were rare in healthy neurons (Figure 2E) but more frequent in tau-V337M neurons, including those showing early signs of apoptosis (Figure 2F), suggesting ALP dysfunction.”
Quote in the paperSubstantial claim - Interpretationown data
Increased LAMP1 and CTSD in tau-V337M organoids at 2 months indicates alterations in lysosomal degradation and proteolytic cleavage of pro-CTSD.
“The key ALP markers LAMP1 and CTSD were increased significantly in tau-V337M organoids compared with isogenic controls at 2 months (Figures 2G and 2I), indicating alterations in lysosomal degradation and proteolytic cleavage of pro-CTSD.”
Quote in the paperSubstantial claim - Interpretationreasoning
Early ELAVL4 expression promotes neuronal maturation.
“supporting the assertion that early ELAVL4 expression promotes neuronal maturation.”
Quote in the paperSubstantial claim - Interpretationreasoning
Accumulation of mutant tau alters glutamatergic synaptic signaling via altered splicing and homeostasis of glutamatergic signaling genes driven in part by dysregulated ELAVL4 expression and function because of sequestration in stress granules.
“which alters glutamatergic synaptic signaling via two mechanisms: first by altered splicing and homeostasis of glutamatergic signaling genes driven in part by dysregulated ELAVL4 expression and function because of sequestration in stress granules”
Quote in the paperSubstantial claim - Interpretationreasoning
Both mechanisms result in increased susceptibility to excitotoxicity.
“Both mechanisms result in increased susceptibility to excitotoxicity.”
Quote in the paperSubstantial claim - Interpretationcitation
PIKFYVE inhibition has potential therapeutic value.
“indicating potential therapeutic value.”
Quote in the paperSubstantial claim
- Classified as probably not a substantial claim. 35
- May combine two claims. 23
Classified as probably not a substantial claim.
PremisecitationIn iPSC-derived induced neurons, tau-V337M disrupts neuronal activity regulation and excitability.
“In iPSC-derived induced neurons, tau-V337M disrupts neuronal activity regulation and excitability (Sohn et al., 2019), spurring further studies in more complex models.”
Quote in the paperSubstantial claim1 of 1 sources checked- cites Sohn et al., 2019 source
Classified as probably not a substantial claim.
PremisecitationFTD-tau is associated with glutamatergic neuronal loss in frontal and temporal cortices.
“FTD-tau is associated with glutamatergic neuronal loss in frontal and temporal cortices (Benussi et al., 2019).”
Quote in the paperSubstantial claim1 of 1 sources checked- cites Benussi et al., 2019 source
The Abstract reports depletion of glutamatergic pyramidal neurons in the frontal and temporal cortices of patients with FTD. It does not specify that this finding applies to FTD-tau; the Introduction identifies tau as one of several FTD pathologies. (LLM, conf=0.88)
Experimental — accuracy not yet measured
Classified as probably not a substantial claim.
PremisecitationEarly alterations in brain development contribute to later manifestation of neurodegenerative diseases.
“Increasing evidence showing that early alterations in brain development contribute to later manifestation of neurodegenerative diseases (Faravelli et al., 2020) further encourages use of iPSC-based organoid systems to study FTD-tau.”
Quote in the paperSubstantial claim1 of 1 sources checked- cites Faravelli et al., 2020 source
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationPathologic studies reveal accumulation of filamentous, hyperphosphorylated tau protein in cerebral cortical and hippocampal neurons and glia, and tau redistribution from axons to the somatodendritic compartment.
“Pathologic studies reveal accumulation of filamentous, hyperphosphorylated tau protein (P-tau) in cerebral cortical and hippocampal neurons and glia, and tau redistribution from axons to the somatodendritic compartment.”
Quote in the paperNot a substantial claim2 of 2 sources checked- cites Bodea et al., 2016 source
- cites Clare et al., 2010 source
The 'Synaptic Proteins and AD' section mentions neurons containing neurofibrillary tangles, but does not identify their composition or describe tau pathology. Searches for hyperphosphorylated tau and its redistribution from axons to the somatodendritic compartment found no passage addressing the claim in our copy; page numbers were unavailable. (LLM, conf=0.72)
Experimental — accuracy not yet measured
Classified as probably not a substantial claim. May combine two claims.
PremisecitationBrain organoids derived from iPSCs develop in culture along a trajectory mimicking key features of fetal brain development and can be patterned toward specific brain regions affected in tauopathy.
“Brain organoids derived from iPSCs develop in culture along a trajectory mimicking key features of fetal brain development and can be patterned toward specific brain regions affected in tauopathy (Camp et al., 2015; Lancaster et al., 2017; Paşca et al., 2015; Velasco et al., 2019; Yoon et al., 2019).”
Quote in the paperSubstantial claim1 of 3 sources checked- cites Camp et al., 2015 source
- cites Lancaster et al., 2017 source
The Online Methods (Preparation of EBs and enCORs) include an iPS cell line, and the main text reports that engineered organoids form forebrain tissue, including regions consistent with hippocampal identity. It also finds that 60-day organoids most closely match early-gestation human forebrain gene expression. The copy does not establish a developmental trajectory matching fetal brain development or connect the patterned regions to tauopathy. (LLM, conf=0.86)
Experimental — accuracy not yet measured - cites Paşca et al., 2015
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationThese tau changes correlate with degeneration of synapses and neuronal loss in frontal and temporal cortices.
“These changes correlate with degeneration of synapses and neuronal loss in frontal and temporal cortices (Bodea et al., 2016; Clare et al., 2010).”
Quote in the paperNot a substantial claim2 of 2 sources checked- cites Bodea et al., 2016 source
The section ‘Role of tau in dendritic spines and synaptic impairment’ links pathological tau to synaptic degeneration and reports neuronal loss in a tau mouse model. The paper also describes frontal and temporal cortical atrophy in FTLD, but it does not establish that the tau changes correlate with both synaptic degeneration and neuronal loss specifically in those cortices. The mouse-model comparison distinguishes tau changes associated with synaptic loss from those associated with neuronal loss. (LLM, conf=0.85)
Experimental — accuracy not yet measured - cites Clare et al., 2010 source
The ‘Synaptic Proteins and AD’ section reports a correlation between synapse loss and neurons containing neurofibrillary tangles, but also notes that another synaptic marker showed no correlation with tangle density. The FTLD section reports synaptic reductions in frontal and temporal regions. Neither section establishes that tau changes correlate with neuronal loss in those cortices. (LLM, conf=0.86)
Experimental — accuracy not yet measured
May combine two claims.
PremisecitationThe tau-V337M mutation is located in MAPT exon 12, expressed in iPSC-derived neurons, and associated with FTD with abundant neurofibrillary tangles in frontal and temporal cortices and the cingulate gyrus and atrophy throughout the hippocampus and amygdala.
“The tau-V337M mutation selected for this study is located in MAPT exon 12, expressed in iPSC-derived neurons, and associated with FTD with abundant neurofibrillary tangles in frontal and temporal cortices and the cingulate gyrus and atrophy throughout the hippocampus and amygdala (Spillantini et al., 1996; Spina et al., 2017; Sumi et al., 1992).”
Quote in the paperSubstantial claim1 of 3 sources checkedProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationDisruption of the autophagy-lysosomal pathway is a pathological hallmark in human tauopathy brain.
“Disruption of the autophagy-lysosomal pathway (ALP) is another pathological hallmark in human tauopathy brain (Bain et al., 2019; Piras et al., 2016; Wang et al., 2009).”
Quote in the paperNot a substantial claim3 of 3 sources checked- cites Bain et al., 2019 source
The Discussion reports lower LAMP-1 levels in human FTLD-tau cases and suggests that deficient lysosomes or defective vesicular transport may impair tau clearance. This supports disruption of the pathway in the FTLD-tau cases studied, but the paper does not establish it as a pathological hallmark across human tauopathies; its mechanistic conclusion is hedged. (LLM, conf=0.84)
Experimental — accuracy not yet measured - cites Piras et al., 2016 source
- cites Wang et al., 2009 source
The Discussion (page unavailable) states that the autophagy–lysosomal system is disturbed in Alzheimer disease brain, and the Introduction says lysosomal alterations in Alzheimer disease are well established. The paper does not establish that this disruption is a pathological hallmark across human tauopathies; its own tauopathy experiments use a cell model. (LLM, conf=0.84)
Experimental — accuracy not yet measured
May combine two claims.
PremisecitationELAVL4 regulates glutamate levels and neuronal excitability.
“glutamate levels, and neuronal excitability (Ince-Dunn et al., 2012; Jung and Lee, 2021)”
Quote in the paperSubstantial claim2 of 2 sources checked- cites Ince-Dunn et al., 2012 source
The Results section, “A new role for nElavl in regulating glutamate in the brain” (page not provided), reports reduced glutamate in mice lacking both Elavl3 and Elavl4. The Results section, “Seizures in Elavl3-/- Mice” (page not provided), links abnormal cortical activity to loss of Elavl3. These findings support a role for the neuronal Elav-like proteins collectively, but do not establish that ELAVL4 alone regulates both glutamate levels and neuronal excitability. (LLM, conf=0.86)
Experimental — accuracy not yet measured - cites Jung and Lee, 2021 source
The Introduction identifies HuD as ELAVL4. Section 4.1 reports that mice lacking neuronal ELAV proteins had impaired splicing of genes regulating cellular glutamate levels and spontaneous epileptic seizures. That supports a link to glutamate regulation and excitability, but the passage concerns the neuronal ELAV group, not ELAVL4 individually. (LLM, conf=0.85)
Experimental — accuracy not yet measured
May combine two claims.
PremisecitationELAVL4 expression decreases self-renewal of neural progenitor cells and promotes deep-layer glutamatergic neuronal differentiation.
“ELAVL4 expression decreases self-renewal of neural progenitor cells and promotes deep-layer glutamatergic neuronal differentiation (Akamatsu et al., 2005; DeBoer et al., 2014; Popovitchenko et al., 2020).”
Quote in the paperSubstantial claim3 of 3 sources checked- cites Akamatsu et al., 2005 source
The Results (page not provided) show increased self-renewal and reduced neuronal differentiation in neural stem/progenitor cells from HuD-deficient mice, supporting a role for HuD in limiting self-renewal and promoting neuronal differentiation. The paper does not establish that the neurons are specifically deep-layer or glutamatergic, and it tests HuD loss rather than experimentally increasing its expression. (LLM, conf=0.88)
Experimental — accuracy not yet measured - cites DeBoer et al., 2014 source
The Results section, “HuD is critical for the balanced expression of Tle4 in lower layer neocortical neurons” (page unavailable), reports fewer Tle4-positive lower-layer neurons after HuD deletion and suggests a role in their specification and/or maintenance. That supports a connection to deep-layer neuronal identity, but does not establish that ELAVL4 expression promotes differentiation specifically. Our copy does not report that ELAVL4 decreases neural progenitor self-renewal. (LLM, conf=0.86)
Experimental — accuracy not yet measured - cites Popovitchenko et al., 2020 source
The Results section, “Elavl4-v3 promotes lower layer (LL) identity when not repressed in RG” (page unavailable), reports that premature Elavl4-v3 expression in radial glia increased a lower-layer neuronal identity marker, supporting the differentiation part of the claim. It does not establish that ELAVL4 expression decreases neural progenitor self-renewal; the Results section, “Celf1 regulates the balance of glutamatergic neurons” (page unavailable), instead reports greater progenitor retention in a condition with increased Elavl4 protein. (LLM, conf=0.86)
Experimental — accuracy not yet measured
May combine two claims.
PremisecitationELAVL4 binds to the glutamatergic receptor GRM5 and other genes within the long-term potentiation (LTP) pathway.
“binds to the glutamatergic receptor GRM5 and other genes within the long-term potentiation (LTP) pathway (Bolognani et al., 2010)”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites Bolognani et al., 2010 source
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationELAVL4 is a target of FUS activity.
“ELAVL4 is a target of FUS activity”
Quote in the paperNot a substantial claim2 of 2 sources checked- cites Fallini et al., 2012 source
The Discussion describes FUS as a regulator of neuronal mRNA transport and stability, and separately discusses HuD and other ELAV-family proteins in relation to TDP-43 aggregates. Searches for ELAVL4 as a FUS target and for FUS regulation of HuD found no passage connecting them in our copy. (LLM, conf=0.75)
Experimental — accuracy not yet measured - cites De Santis et al., 2019 source
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationTau-TIA1 interaction can lead to formation and stabilization of toxic tau oligomers.
“tau-TIA1 interaction can lead to formation and stabilization of toxic tau oligomers (Ash et al., 2021).”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites Ash et al., 2021 source
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationELAVL4 binds the 3′ UTR of MAPT RNA in rat primary neurons and in mouse P19 cells.
“ELAVL4 binds the 3′ UTR of MAPT RNA in rat primary neurons and in mouse P19 cells”
Quote in the paperNot a substantial claim1 of 3 sources checked- cites Atlas et al., 2007 source
- cites Behar et al., 1995 source
- cites Jung and Lee, 2021 source
The Introduction identifies HuD as ELAVL4, and §3.1 says HuD regulates tau expression. A reference listed in the paper concerns tau mRNA and HuD protein in differentiated P19 neuronal cells, but our copy does not establish direct binding to the MAPT 3′ UTR in either P19 cells or rat primary neurons. (LLM, conf=0.84)
Experimental — accuracy not yet measured
Classified as probably not a substantial claim.
PremisecitationELAVL4 regulates RNA splicing.
“ELAVL4 regulates RNA splicing (Scheckel et al., 2016)”
Quote in the paperSubstantial claim1 of 1 sources checked- cites Scheckel et al., 2016 source
The Results section, “nELAVL regulates splicing of human brain targets” (page unavailable), reports altered exon splicing after nELAVL depletion. But the depletion targeted ELAVL2, ELAVL3, and ELAVL4 together, as specified in “nELAVL proteins regulate mRNA abundance of human brain targets” (page unavailable). The paper therefore supports a role for the neuronal ELAVL proteins in splicing, not an independently established role for ELAVL4 alone. (LLM, conf=0.85)
Experimental — accuracy not yet measured
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationELAVL4 is present in TAR DNA-binding protein 43 (TDP-43) inclusions.
“is present in TAR DNA-binding protein 43 (TDP-43) inclusions (Fallini et al., 2012; De Santis et al., 2019).”
Quote in the paperNot a substantial claim2 of 2 sources checkedProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationTau influences stress granule formation in neurons.
“Tau influences stress granule formation in neurons”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites Ash et al., 2021 source
The Discussion (page unavailable) says tau selectively associates with TIA1-containing stress granules. The paper examines TIA1’s effects on tau phase separation and tests tau toxicity in cultured neurons, but the passages do not show that tau influences stress granule formation in neurons. (LLM, conf=0.82)
Experimental — accuracy not yet measured
May combine two claims.
PremisecitationPIKFYVE inhibition increases the number of EEA1-positive endosomes and LAMP1-positive lysosomes.
“PIKFYVE inhibition increases the number of EEA1-positive endosomes and LAMP1-positive lysosomes”
Quote in the paperSubstantial claim2 of 2 sources checked- cites Shi et al., 2018 source
The section on small-molecule regulators of endosomal trafficking (page not provided) reports that PIKFYVE inhibition increased the size of EEA1-positive endosomes, not their number. The lysosomal-biogenesis section attributes restored numbers of LAMP1-positive lysosomes to forced C9ORF72 expression; our copy does not report that PIKFYVE inhibition increased their number. (LLM, conf=0.88)
Experimental — accuracy not yet measured - cites Staats et al., 2019 source
May combine two claims.
PremisecitationHumans and mice haplodeficient for PIKFYVE are normal.
“humans and mice haplodeficient for PIKFYVE are normal”
Quote in the paperSubstantial claim1 of 2 sources checked- cites Ikonomov et al., 2011 source
The Results section (page unavailable) reports that heterozygous PIKfyve WT/KO mice developed without ostensible defects. But the Discussion (page unavailable) says humans with heterozygous PIKFYVE mutations can have fleck corneal dystrophy, a pathology not seen in the mice. The claim that affected humans are normal is therefore not supported. (LLM, conf=0.90)
Experimental — accuracy not yet measured - cites Sands et al., 2010 source
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationMicroglia contribute to tau pathology, spread, and synaptic degeneration.
“It would be of interest to include microglia in the model, given their contribution to tau pathology, spread, and synaptic degeneration (Vogels et al., 2019).”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites Vogels et al., 2019 source
Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductcitationThe false discovery rate of the differential expression test was estimated using the Benjamini-Hochberg method.
“The false discovery rate (FDR) of the differential expression test was estimated using the Benjamini-Hochberg (BH) method (Reiner et al., 2003).”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites Reiner et al., 2003 source
Classified as probably not a substantial claim.
Study design and conductcitationData from different sequencing runs, batches and ages were integrated and scaled using SCTransform while regressing out covariates including percentage of mitochondrial genes, number of cells per parent organoid, number of genes per cell, and number of reads per cell.
“Data from different sequencing runs, batches and ages were integrated and scaled using SCTransform (Hafemeister and Satija, 2019), while regressing out the following covariates; percentage of mitochondrial genes, the number of cells collected per parent organoid, the number of genes per cell and the number of reads per cell.”
Quote in the paperSubstantial claim1 of 1 sources checked- cites Hafemeister and Satija, 2019 source
Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductcitationDifferential gene expression between MAPT mutation organoids and isogenic controls was predicted by linear mixed model analysis accounting for sample correlations within isogenic lines and differentiation batches.
“Differential gene expression between MAPT mutation organoids and isogenic controls was predicted by linear mixed model analysis using the variancePartition package (v1.14.1) in the R programming environment (Hoffman and Roussos, 2021) to account for sample correlations within isogenic lines and differentiation batches.”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites Hoffman and Roussos, 2021 source
May combine two claims.
Findingown dataOver time, the proportion of upper cortical layer-enriched (ExM-U) neurons increased, as did inhibitory neurons, astrocytes, and oligodendrocytes.
“Overtime, the proportion of upper cortical layer-enriched (ExM-U) neurons increased, as did inhibitory neurons, astrocytes, and oligodendrocytes (all p < 2.2 × 10−16; Figures 1B–1D).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataIHC analysis showed a reduction in NeuN+ neurons at 4 and 6 months and in MAP2+ neurons at 6 months in tau-V337M organoids.
“These differences were validated by immunohistochemistry (IHC) analysis, which showed a reduction in neuronal nuclear protein+ (NeuN+) neurons at 4 and 6 months (Figures 2B and 2C) and in MAP2+ neurons at 6 months (Figures S2A and S2B).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataLysosome-related multi-membrane lamellar bodies were rare in healthy neurons but more frequent in tau-V337M neurons, including those showing early signs of apoptosis.
“Lysosome-related multi-membrane lamellar bodies were rare in healthy neurons (Figure 2E) but more frequent in tau-V337M neurons, including those showing early signs of apoptosis (Figure 2F), suggesting ALP dysfunction.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataPro-CTSD was increased significantly at 6 months in the absence of increased active CTSD, whereas p62 and LC3-II were reduced significantly at the same time point.
“In contrast, pro-CTSD was increased significantly at 6 months in the absence of increased active CTSD, whereas sequestosome 1 (p62) and microtubule-associated protein 1A/1B-light chain 3 (LC3-II) were reduced significantly at the same time point (Figures 2H and 2I), suggesting defects in proteolytic cleavage and activity.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataTau-V337M organoids showed no genotype-dependent differences at 2 months, but a significant increase in total tau and the P-tau S396/total tau ratio emerged between 4 and 6 months compared with isogenic controls.
“Tau-V337M organoids showed no genotype-dependent differences at 2 months (Figure 2J), but a significant increase in total tau and the P-tau S396/total tau ratio emerged between 4 and 6 months compared with isogenic controls (Figures 2J–2L).”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataIn Figure 7K, the log-rank test for neuronal survival between isogenic control organoids treated with negative control and those treated with ASO yielded n=120 each, chi-sq=0.3814, p=0.5369.
“Figure 7K: nisogenic+nc = 120, nisogenic+ASO = 120, Chi-sq = 0.3814, p = 0.5369.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
Findingown dataIn Figure 7B, the log-rank test for neuronal survival between mutant and isogenic control organoids yielded n=80 each, chi-sq=3.723, p=0.0537.
“for Figures 7B: nisogenic = 80, nmutant = 80, Chi-sq = 3.723, p = 0.0537;”
Quote in the paperSubstantial claimMay combine two claims.
Study design and conductown dataThere was no batch-specific effect on differentiation over three replicates and no clustering because of mutation at 2 or 4 months.
“There was no batch-specific effect on differentiation over three replicates assessed by uniform manifold approximation and projection (UMAP) (Figure S1B) and no clustering because of mutation at 2 or 4 months (Figure S1C).”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationTranscriptional signatures in the human frontal cortex at gestational week 17-18 correlate highly with gene expression profiles of organoids.
“Transcriptional signatures in the human frontal cortex at this age correlate highly with gene expression profiles of organoids (Qian et al., 2016).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Qian et al., 2016 source
May combine two claims.
InterpretationreasoningPIKFYVE inhibition may rescue glutamate-induced neurodegeneration by correcting ALP dysfunction, increasing turnover of misfolded tau, and favoring elimination of internalized NMDA and AMPA receptors over recycling back to the synapse.
“Therefore, PIKFYVE inhibition may rescue glutamate-induced neurodegeneration by correcting ALP dysfunction, increasing turnover of misfolded tau, and favoring elimination of internalized NMDA and AMPA receptors over recycling back to the synapse.”
Quote in the paperSubstantial claimMay combine two claims.
Interpretationown dataiPSC-tau-V337M organoids phenocopy aspects of ALP dysfunction seen in the FTD brain, which may be triggered by expression of mutant tau protein in neurons early in disease development.
“These findings demonstrate that iPSC-tau-V337M organoids phenocopy aspects of ALP dysfunction seen in the FTD brain, which may be triggered by expression of mutant tau protein in neurons early in disease development.”
Quote in the paperSubstantial claimMay combine two claims.
Interpretationown dataIncreased HMW ubiquitinated species in tau-V337M organoids at 2 months suggests disrupted degradation and accumulation of poly-ubiquitinated proteins and increased proteostasis stress.
“High-molecular-weight (HMW) ubiquitinated species were increased significantly in tau-V337M organoids at 2 months, suggesting disrupted degradation and accumulation of poly-ubiquitinated proteins and, thus, increased proteostasis stress in mutant organoids.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Interpretationnone givenDysfunctional proteostasis may result in increased levels of tau and ELAVL4 because of impaired protein clearance, promoting their cytosolic accumulation.
“Additionally, dysfunctional proteostasis may result in increased levels of tau and ELAVL4 because of impaired protein clearance, promoting their cytosolic accumulation.”
Quote in the paperNot a substantial claimMay combine two claims.
InterpretationreasoningPerturbed ELAVL4 expression and localization could contribute to several phenotypes observed in tau-V337M organoids, including aberrant MAPT/tau expression, early neuronal maturation, aberrant glutamate signaling, and dysregulated splicing.
“Given its pleiotropic functions, our observation of perturbed ELAVL4 expression and localization could contribute to several phenotypes observed in tau-V337M organoids, including aberrant MAPT/tau expression, early neuronal maturation, aberrant glutamate signaling, and dysregulated splicing.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim.
Study design and conductnone givenAll presented differential expression, GSEA, pathway enrichment and splicing analyses p values were adjusted for multiple test correction.
“All presented differential expression, GSEA, pathway enrichment and splicing analyses p values were adjusted for multiple test correction.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductown dataTwo organoids were excluded from further bulk RNA-sequencing analysis due to inconsistent positioning away from the remaining samples by principal components analysis.
“Two organoids were excluded from further analysis due to inconsistent positioning away from the remaining samples by principal components analysis”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
InterpretationreasoningAdditional effects of the mutant 4R protein may be missed due to low 4R tau expression in these organoid models.
“Given the low 4R tau expression in these organoid models, additional effects of the mutant 4R protein may be missed.”
Quote in the paperNot a substantial claim- Rests on an assumption: The organoid models have low 4R tau expression.
Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductown dataThe resulting single-cell RNA-sequencing dataset for analysis included 379,064 cells (V337M n=161,706, V337V n=217,358).
“The resulting dataset for analysis included 379,064 cells (V337M n = 161,706, V337V n = 217,358).”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenProtein bands' densitometry was normalized to the respective internal control (GAPDH) band.
“Protein bands’ densitometry (pixel mean intensity in arbitrary units, a.u.) was measured with ImageJ and normalized to the respective internal control (GAPDH) band.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenData was also corrected for differentiation batch.
“Data was also corrected for differentiation batch.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductown dataThe final bulk RNA-sequencing dataset consisted of 239 organoids (V337M n=99, V337V n=140).
“resulting in a final dataset consisting of 239 organoids (V337M n = 99, V337V n = 140).”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S4 (based).
Interpretationnone givenThe MAPT mutation results in accumulation of mutant tau.
“In our working model, the MAPT mutation results in accumulation of mutant tau”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim. May combine two claims.
Study design and conductnone givenAll reported p values were adjusted for multiple test correction, with significance defined as adjusted p < 0.05.
“All reported p values were adjusted for multiple test correction; Significance was defined as adjusted p < 0.05.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenFor every set of slides stained, a neuropathologically confirmed severe AD case and healthy control case was included as a batch control.
“For every set of slides stained, a neuropathologically confirmed severe AD case and healthy control case was included as a batch control.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
Study design and conductown dataPathological changes assessed using semiquantitative analysis were scored by two researchers blinded to mutational and control conditions.
“Pathological changes assessed using semiquantitative analysis were scored by two researchers (JFC and KW) blinded to mutational and control conditions using a semiquantitative scoring system”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductown dataOf the single-cell RNA-sequencing organoids, 339 passed quality control, determined by samples containing detectable cells with clear HTO identities.
“of which 339 passed quality control, determined by samples containing detectable cells with clear HTO identities.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing).
Study design and conductnone givenThe data characterizing glutamatergic signaling in tau-V337M organoids require additional validation by comprehensive electrophysiological assessment to confirm the hypothesized mechanism.
“Our data characterizing glutamatergic signaling in tau-V337M organoids require additional validation by comprehensive electrophysiological assessment to confirm our hypothesized mechanism.”
Quote in the paperNot a substantial claimMay combine two claims.
InterpretationreasoningThese changes are initially accommodated by plasticity, but over time they result in glutamatergic neuron death.
“Although these changes are initially accommodated by plasticity, over time they result in glutamatergic neuron death.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductnone givenBand intensity was normalized against total protein by Ponceau S staining and expressed relative to the normalized control within each blot.
“Band intensity was analyzed using GeneTools, normalized against total protein by Ponceau S staining of each blot, and band intensity was expressed relative to the normalized control within each blot.”
Quote in the paperNot a substantial claimMay combine two claims.
InterpretationreasoningAccumulation of mutant tau alters glutamatergic synaptic signaling via impaired proteostasis, preventing recycling of receptors away from the synapse and promoting further tau accumulation.
“and second by impaired proteostasis, preventing recycling of receptors away from the synapse and promoting further tau accumulation.”
Quote in the paperSubstantial claim
The authors state this as an assumption.
Organoid models do not accurately reflect adult aging.
“Given that organoid models do not accurately reflect adult aging, it is interesting that we observed neurodegeneration.”
The paper relies on this without support.
MAPT is alternatively spliced into 3R and 4R tau isoforms by exclusion or inclusion of exon 10.
“MAPT is alternatively spliced, resulting in two major isoforms, 3R and 4R tau, defined by exclusion or inclusion of exon 10, respectively.”
The paper relies on this without support.
Temporal analysis of human organoid models has revealed early pathological events in neurodegeneration.
“Temporal analysis of human organoid models has revealed early pathological events in neurodegeneration.”
The paper relies on this without support.
The organoid models have low 4R tau expression.
“Given the low 4R tau expression in these organoid models”
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
Single-cell count exceeds the stated per-organoid range
MinorThe reported final dataset contains 379,064 cells from 339 organoids, or about 1,118 cells per organoid-above the stated approximate range of 800-1,000.
Reported 1000 · recomputed 1118.182891
“single-cell RNA-seq (scRNA-seq) on 339 individual organoids (>370,000 cells, ~800–1,000 cells per organoid).”
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Self-citationActivity‐dependent expression of ELAV/Hu RBPs and neuronal mRNAs in seizure and cocaine brain
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Anti-AMPA GluA3 antibodies in Frontotemporal dementia: a new molecular target
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RNA–Binding Protein HuD as a Versatile Factor in Neuronal and Non–Neuronal Systems
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Dysregulation of neuronal differentiation and cell cycle control in Alzheimer’s disease
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The role of lysosomes and autophagosomes in frontotemporal lobar degeneration
Bain, H. D. C., Davidson, Y. S., Robinson, A. C., Ryan, S., Rollinson, S., Richardson, A., Jones, M., Snowden, J. S., Pickering‐Brown, S., & Mann, D. M. A. (2019) · Neuropathology and Applied Neurobiology · doi:10.1111/nan.12500 · Cited by 33 · see citing works
Identification of a Novel Signaling Pathway and Its Relevance for GluA1 Recycling
Seebohm, G., Neumann, S., Theiß, C., Novkovic, T., Hill, E. V., Tavaré, J. M., Lang, F. J. W., Hollmann, M., Manahan‐Vaughan, D., & Strutz‐Seebohm, N. (2012) · PLoS ONE · doi:10.1371/journal.pone.0033889 · Cited by 32 · see citing works
Back to the origins: Human brain organoids to investigate neurodegeneration
Faravelli, I., Costamagna, G., Tamanini, S., & Corti, S. (2020) · Brain Research · doi:10.1016/j.brainres.2019.146561 · Cited by 25 · see citing works
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Self-citationModeling tau pathology in human stem cell derived neurons
Wray, S. (2017) · Brain Pathology · doi:10.1111/bpa.12521 · Cited by 13 · see citing works
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Solving neurodegeneration: common mechanisms and strategies for new treatments
Wareham, L. K., Liddelow, S. A., Temple, S., Benowitz, L. I., Di Polo, A., Wellington, C., Goldberg, J. L., He, Z., Duan, X., Bu, G., et al. (2022) · Molecular Neurodegeneration · doi:10.1186/s13024-022-00524-0 · Cited by 324 · see citing works
Self-citationHuman cerebral organoids — a new tool for clinical neurology research
Eichmüller, O. L., & Knoblich, J. A. (2022) · Nature Reviews Neurology · doi:10.1038/s41582-022-00723-9 · Cited by 303 · see citing works
Zeng, H., Huang, J., Zhou, H., Meilandt, W. J., Dejanovic, B., Zhou, Y., Bohlen, C. J., Lee, S.-H., Ren, J., Liu, A., et al. (2023) · Nature Neuroscience · doi:10.1038/s41593-022-01251-x · Cited by 157 · see citing works
Advancing cell therapy for neurodegenerative diseases
Temple, S. (2023) · Cell stem cell · doi:10.1016/j.stem.2023.03.017 · Cited by 206 · see citing works
Self-citationAccelerating Alzheimer’s therapeutic development: The past and future of clinical trials
Boxer, A. L., & Sperling, R. (2023) · Cell · doi:10.1016/j.cell.2023.09.023 · Cited by 197 · see citing works
Human organoids: New strategies and methods for analyzing human development and disease
Corsini, N. S., & Knoblich, J. A. (2022) · Cell · doi:10.1016/j.cell.2022.06.051 · Cited by 171 · see citing works
An integrated transcriptomic cell atlas of human neural organoids
He, Z., Dony, L., Fleck, J. S., Szałata, A., Li, K. X., Slišković, I., Lin, H., Santel, M., Atamian, A., Quadrato, G., et al. (2024) · Nature · doi:10.1038/s41586-024-08172-8 · Cited by 169 · see citing works
“…of the published data sets: diseased samples/samples expressing disease-associated mutations (Huang et al. 7 , Sawada et al. 25 , Khan et al. 26 , Bowles et al. 27 , Samarasinghe et al. 29 , Paulsen et al. 35 ), fused organoids (Birey et al. 14 ), primary fetal data (Bhaduri et al. 22 , Uzquiano…”
Self-citationBeyond PI3Ks: targeting phosphoinositide kinases in disease
Burke, J. E., Triscott, J., Emerling, B. M., & Hammond, G. R. V. (2023) · Nature Reviews Drug Discovery · doi:10.1038/s41573-022-00582-5 · Cited by 156 · see citing works
Human pluripotent-stem-cell-derived organoids for drug discovery and evaluation
Vandana, J. J., Manrique, C., Lacko, L. A., & Chen, S. (2023) · Cell stem cell · doi:10.1016/j.stem.2023.04.011 · Cited by 132 · see citing works
Tau Isoforms: Gaining Insight into MAPT Alternative Splicing
Corsi, A., Bombieri, C., Valenti, M. T., & Romanelli, M. G. (2022) · International Journal of Molecular Sciences · doi:10.3390/ijms232315383 · Cited by 118 · see citing works
Human fetal brain self-organizes into long-term expanding organoids
Hendriks, D. F. G., Pagliaro, A., Andreatta, F., Ma, Z., van Giessen, J., Massalini, S., López‐Iglesias, C., van Son, G. J. F., DeMartino, J., Damen, M. J. A., et al. (2024) · Cell · doi:10.1016/j.cell.2023.12.012 · Cited by 106 · see citing works
Tumour-wide RNA splicing aberrations generate actionable public neoantigens
Kwok, D. W., Stevers, N. O., Etxeberría, I., Nejo, T., Cove, M. C., Chen, L. H., Jung, J., Okada, K., Lakshmanachetty, S., Gallus, M., et al. (2025) · Nature · doi:10.1038/s41586-024-08552-0 · Cited by 98 · see citing works
Limitations of human brain organoids to study neurodegenerative diseases: a manual to survive
Urrestizala-Arenaza, N., Cerchio, S., Cavaliere, F., & Magliaro, C. (2024) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2024.1419526 · Cited by 80 · see citing works
Human organoids as 3D in vitro platforms for drug discovery: opportunities and challenges
Wang, D., Villenave, R., Stokar‐Regenscheit, N., & Clevers, H. C. (2025) · Nature Reviews Drug Discovery · doi:10.1038/s41573-025-01317-y · Cited by 98 · see citing works
Pushing the boundaries of brain organoids to study Alzheimer’s disease
Cerneckis, J., Bu, G., & Shi, Y. (2023) · Trends in Molecular Medicine · doi:10.1016/j.molmed.2023.05.007 · Cited by 61 · see citing works
Sprang, M., Andrade-Navarro, M. A., & Fontaine, J. (2022) · BMC Bioinformatics · doi:10.1186/s12859-022-04775-y · Cited by 57 · see citing works
“[30] IPSC derived cerebral organoids Dementia 36 3 3 Only of one Type: GIH‐ 6‐C1‐(delta) A02 GSE153380 Alvarez‐ Benayas et al.”
BackgroundTargeting glycogen synthase kinase-3β for Alzheimer's disease: Recent advances and future Prospects
Cheng, Z., Han, T., Yao, J., Wang, K., Dong, X., Fan, Y., Huang, H., Han, M., Liao, Q., He, S., et al. (2023) · European Journal of Medicinal Chemistry · doi:10.1016/j.ejmech.2023.116065 · Cited by 58 · see citing works
Lai, J. D., Berlind, J. E., Fricklas, G., Lie, C., Urenda, J., Lam, K., Maria, N. S. S., Jacobs, R. E., Yu, V. L., Zhao, Z., et al. (2024) · Cell stem cell · doi:10.1016/j.stem.2024.03.004 · Cited by 58 · see citing works
Self-citationCross-disorder and disease-specific pathways in dementia revealed by single-cell genomics
Rexach, J. E., Cheng, Y., Chen, L., Polioudakis, D., Lin, L., Mitri, V., Elkins, A., Han, X., Yamakawa, M., Yin, A., et al. (2024) · Cell · doi:10.1016/j.cell.2024.08.019 · Cited by 56 · see citing works
The uses of 3D human brain organoids for neurotoxicity evaluations: A review
Cao, Y. (2022) · NeuroToxicology · doi:10.1016/j.neuro.2022.05.004 · Cited by 47 · see citing works
Zhang, Z., Wang, X., Park, S. S., Song, H., & Ming, G. (2022) · Biological Psychiatry · doi:10.1016/j.biopsych.2022.12.015 · Cited by 49 · see citing works
“These cortical orga-noids have been widely used to study various brain disorders, such as microcephaly (20 – 22), lissencephaly (23,24), ASD (16,25,26), schizophrenia (19,27), fragile X syndrome (28), Angelman syndrome (29), Alzheimer ’ s disease (30), and fron-totemporal dementia (31) (Table 1).”
BackgroundHuman tau mutations in cerebral organoids induce a progressive dyshomeostasis of cholesterol
Glasauer, S. M. K., Goderie, S. K., Rauch, J. N., Guzman, E., Audouard, M., Bertucci, T. B., Joy, S., Rommelfanger, E., Luna, G., Rivera, E. K., et al. (2022) · Stem Cell Reports · doi:10.1016/j.stemcr.2022.07.011 · Cited by 46 · see citing works
“Stem Cell Reports j This is an open access arti increased tau phosphorylation, glutamatergic dysfunction, and glutamatergic neuron loss (Bowles et al., 2021).”
BackgroundSelf-citationRNA splicing regulators play critical roles in neurogenesis
Fisher, E., & Feng, J. (2022) · Wiley Interdisciplinary Reviews - RNA · doi:10.1002/wrna.1728 · Cited by 45 · see citing works
Synapse vulnerability and resilience underlying Alzheimer’s disease
Taddei, R. N., & Duff, K. (2025) · EBioMedicine · doi:10.1016/j.ebiom.2025.105557 · Cited by 46 · see citing works
“53 Notably, severe and region-speci fi c synapse loss has also been described in a subset of primary tauopathies in which synapse degeneration is a strong determinant of disease severity and progression.”
Unraveling the complex role of MAPT-containing H1 and H2 haplotypes in neurodegenerative diseases
Pedicone, C., Weitzman, S. A., Renton, A. E., & Goate, A. (2024) · Molecular Neurodegeneration · doi:10.1186/s13024-024-00731-x · Cited by 42 · see citing works
“LRRC37A/2 exhibits copy number variation between H1 and H2, leading to an expression quantitative trait locus (eQTL) and altered astrocytic function in Parkinson’s disease (PD) [9, 10].”
BackgroundSelf-citationvan der Linden, R. J., Gerritsen, J. S., Liao, M., Widomska, J., Pearse, R. V., White, F. M., Franke, B., Young‐Pearse, T. L., & Poelmans, G. (2022) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2022.102316 · Cited by 40 · see citing works
Single cell transcriptomic profiling of a neuron-astrocyte assembloid tauopathy model
Rickner, H., Jiang, L., Hong, R., O’Neill, N. K., Mojica, C. A., Snyder, B. J., Zhang, L., Shaw, D., Medalla, M., Wolozin, B. L., et al. (2022) · Nature Communications · doi:10.1038/s41467-022-34005-1 · Cited by 41 · see citing works
“Previous studies with The AstTau system allows for a detailed analysis of astrocytic phenotypes that are associated with tau pathology in a manner not easily studied with in vivo models that take 6 – 8 months to develop glialpopulations 29,85 .”
Yin, L., Zhou, J., Li, T., Wang, X., Xue, W., Zhang, J., Lin, L., Wang, N., Kang, X., Zhou, Y., et al. (2022) · Alzheimer s & Dementia · doi:10.1002/alz.12776 · Cited by 42 · see citing works
Induced Pluripotent Stem Cells and Organoids in Advancing Neuropathology Research and Therapies
Pazzin, D., Previato, T., Gonçalves, J. I. B., Zanirati, G., Xavier, F., da Costa, J. C., & Marinowic, D. (2024) · Cells · doi:10.3390/cells13090745 · Cited by 32 · see citing works
“This research delineated a sequence of events preceding neurodegeneration, uncovering molecular pathways associated with glutamate signaling as potential therapeutic targets for intervention in FTD [133].”
BackgroundMethodBrain organoids: building higher-order complexity and neural circuitry models
Maisumu, G., Willerth, S. M., Nestor, M. W., Waldau, B., Schülke, S., Nardi, F. V., Ahmed, O., Zhou, Y., Durens, M., Liang, B., et al. (2025) · Trends in biotechnology · doi:10.1016/j.tibtech.2025.02.009 · Cited by 38 · see citing works
“In mutant Tau cerebral organoids modeling frontotemporal demantia (FTD), impairment in the autophagy-lysosomal pathway was observed, which led to loss of glutamatergic neurons in 6-month-aged organoids [97].”
Human pluripotent stem cell (hPSC) and organoid models of autism: opportunities and limitations
Kilpatrick, S., Irwin, C. L., & Singh, K. K. (2023) · Translational Psychiatry · doi:10.1038/s41398-023-02510-6 · Cited by 34 · see citing works
Liu, E., Karpf, L., & Bohl, D. (2021) · Frontiers in Molecular Neuroscience · doi:10.3389/fnmol.2021.767041 · Cited by 31 · see citing works
“Another study describes the generation of cerebral organoids from iPSC of 3 FTD patients mutated in the tau gene (Bowles et al., 2021).”
BackgroundConserved gene signatures shared among MAPT mutations reveal defects in calcium signaling
Minaya, M., Mahali, S. K., Iyer, A. K., Eteleeb, A. M., Martinez, R. J., Huang, G., Budde, J., Temple, S., Nana, A. L., Seeley, W. W., et al. (2023) · Frontiers in Molecular Biosciences · doi:10.3389/fmolb.2023.1051494 · Cited by 26 · see citing works
Self-citationNew approach methodologies for drug discovery
Liu, W., Pang, P. D., Wu, C. A., Tagle, D. A., & Wu, J. C. (2026) · Cell · doi:10.1016/j.cell.2026.02.012 · Cited by 32 · see citing works
Valori, C. F., Sulmona, C., Brambilla, L., & Rossi, D. (2023) · Cells · doi:10.3390/cells12111450 · Cited by 30 · see citing works
“Finally, in cerebral organoids modeling FTLD-MAPT, scRNA-seq revealed increased IL-6 signaling in astrocytes [119].”
BackgroundPI4KA and PIKfyve: Essential phosphoinositide signaling enzymes involved in myriad human diseases
Barlow-Busch, I., Shaw, A. L., & Burke, J. E. (2023) · Current Opinion in Cell Biology · doi:10.1016/j.ceb.2023.102207 · Cited by 29 · see citing works
Friend or foe: role of pathological tau in neuronal death
Wu, M., Chen, Z., Jiang, M. H., Bao, B., Li, D., Yin, X., Wang, X., Liu, D., & Zhu, L. (2023) · Molecular Psychiatry · doi:10.1038/s41380-023-02024-z · Cited by 28 · see citing works
A framework for translating tauopathy therapeutics: Drug discovery to clinical trials
Feldman, H., Cummings, J. L., Boxer, A. L., Staffaroni, A. M., Knopman, D. S., Rizzo, S. J. S., Territo, P. R., Arnold, S. E., Ballard, C. G., Beher, D., et al. (2024) · Alzheimer s & Dementia · doi:10.1002/alz.14250 · Cited by 27 · see citing works
Cerebral Organoids as an Experimental Platform for Human Neurogenomics
Nowakowski, T. J., & Salama, S. R. (2022) · Cells · doi:10.3390/cells11182803 · Cited by 26 · see citing works
“In an excellent demonstration of organoid technology for disease modeling, a recent study modeled neuronal phenotypes using iPS lines carrying MAPT mutations that underlie frontotemporal dementia [235].”
BackgroundTong, L., Zhang, X., Fu, G., Luo, S., Zhao, Z., Deng, S., Li, C., Cui, Z., Cao, J., Chen, P., et al. (2024) · Ageing Research Reviews · doi:10.1016/j.arr.2024.102517 · Cited by 23 · see citing works
Regulation of the Alternative Neural Transcriptome by ELAV/Hu RNA Binding Proteins
Lü, W., & Lai, E. C. (2022) · Frontiers in Genetics · doi:10.3389/fgene.2022.848626 · Cited by 23 · see citing works
“Beyond normal development, dysfunction of nELAVL RBPs has now been linked to various neurological diseases (Berto et al., 2016; Bowles et al., 2021; Diaz-Garcia et al., 2021).”
BackgroundRegulation of neuronal RNA signatures by ELAV /Hu proteins
Hilgers, V. (2022) · Wiley Interdisciplinary Reviews - RNA · doi:10.1002/wrna.1733 · Cited by 24 · see citing works
“Moreover, pathogenic insoluble inclusions often contain ELAV/Hu proteins (Bowles et al., 2021; de Santis et al., 2019; Lu et al., 2009).”
BackgroundDefective proteostasis in induced pluripotent stem cell models of frontotemporal lobar degeneration
Mahali, S. K., Martinez, R. J., King, M. W., Verbeck, A. C., Harari, O., Benítez, B. A., Horie, K., Sato, C., Temple, S., & Karch, C. M. M. (2022) · Translational Psychiatry · doi:10.1038/s41398-022-02274-5 · Cited by 25 · see citing works
“Culturing neurons in 3D facilitates self-organization, layering similar to what is observed in the developing human cortex, and formation of complex synaptic connections [33, 41, 62].”
Self-citationAn integrated transcriptomic cell atlas of human neural organoidsPreprint
He, Z., Dony, L., Fleck, J. S., Szałata, A., Li, K. X., Slišković, I., Lin, H., Santel, M., Atamian, A., Quadrato, G., et al. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.10.05.561097 · Cited by 23 · see citing works
C9orf72-Related Neurodegenerative Diseases: From Clinical Diagnosis to Therapeutic Strategies
Zampatti, S., Peconi, C., Campopiano, R., Gambardella, S., Caltagirone, C., & Giardina, E. (2022) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2022.907122 · Cited by 22 · see citing works
Cerebral Organoids and Antisense Oligonucleotide Therapeutics: Challenges and Opportunities
Lange, J., Zhou, H., & McTague, A. (2022) · Frontiers in Molecular Neuroscience · doi:10.3389/fnmol.2022.941528 · Cited by 22 · see citing works
Advanced Cellular Models for Rare Disease Study: Exploring Neural, Muscle and Skeletal Organoids
Bombieri, C., Corsi, A., Trabetti, E., Ruggiero, A., Marchetto, G., Vattemi, G. N. A., Valenti, M. T., Zipeto, D., & Romanelli, M. G. (2024) · International Journal of Molecular Sciences · doi:10.3390/ijms25021014 · Cited by 22 · see citing works
“…mutations in the MAPT gene encoding for the Tau protein was studied in cerebral organoids derived from patients with FTD, demonstrating significant differences in the expression of several genes, including the ceramide synthetase genes CERS4, CERS5 and CERS6, and PINI, TBK1, FUS and ELAV4 [78,121].”
BackgroundSchwed-Gross, A., Hamiel, H., Faber, G. P., Angel, M., Ben-Yishay, R., Benichou, J. I. C., Ishay-Ronen, D., & Shav‐Tal, Y. (2022) · Journal of Cell Science · doi:10.1242/jcs.259629 · Cited by 20 · see citing works
Long non-coding RNA SNHG8 drives stress granule formation in tauopathies
Bhagat, R., Minaya, M., Renganathan, A., Mehra, M., Marsh, J. A., Martinez, R. J., Eteleeb, A. M., Nana, A. L., Spina, S., Seeley, W. W., et al. (2023) · Molecular Psychiatry · doi:10.1038/s41380-023-02237-2 · Cited by 21 · see citing works
Self-citationThe role of CELF family in neurodevelopment and neurodevelopmental disorders
Peng, S., Cai, X., Chen, J., Sun, J., Lai, B., Chang, M., & Xing, L. (2024) · Neurobiology of Disease · doi:10.1016/j.nbd.2024.106525 · Cited by 21 · see citing works
Raman microspectroscopy fingerprinting of organoid differentiation state
Tubbesing, K. E., Moskwa, N. L., Khoo, T. C., Nelson, D. A., Sharikova, A. V., Feng, Y., Larsen, M., & Khmaladze, A. T. (2022) · Cellular & Molecular Biology Letters · doi:10.1186/s11658-022-00347-3 · Cited by 19 · see citing works
“However, organoids are inherently heterogeneous [3].”
Bertucci, T. B., Bowles, K. R., Lotz, S., Bheda, S., Qi, L., Farjood, F., Whitton, K., Goderie, S. K., Borden, S. M., Rossi, A., et al. (2026) · npj Dementia · doi:10.1101/2023.07.11.548571 · Cited by 19 · see citing works
“18 Thus, cortical organoids can recapitulate key temporal features of FTLD-tau pathogenesis and enable identification of novel genes and pathways.”
InfluentialSelf-citationBowles, K. R., Pedicone, C., Pugh, D. A., Oja, L., Sousa, F. H., Keavey, L., Fulton‐Howard, B., Weitzman, S. A., Liu, Y., Chen, J. L., et al. (2024) · Cell Reports · doi:10.1016/j.celrep.2024.115013 · Cited by 20 · see citing works
“6,8,11,14,15,31 In addition, iPSC neurons carrying the MAPT P301L mutation, which is in exon 10, still display tauopathy-relevant phenotypes despite very low 4R tau expression, 7,11 indicating that even low-level exon 10 inclusion substantially impacts cellular function.”
InfluentialSelf-citationFrom Organoids to Assembloids: Experimental Approaches to Study Human Neuropsychiatric Disorders
Levy, R. J., & Pașca, S. P. (2025) · Annual Review of Neuroscience · doi:10.1146/annurev-neuro-112723-023232 · Cited by 22 · see citing works
Fodder, K., Murthy, M. N., Rizzu, P., Toomey, C. E., Hasan, R., Humphrey, J., Raj, T., Lunnon, K., Mill, J. S., Heutink, P., et al. (2023) · Acta Neuropathologica · doi:10.1007/s00401-023-02583-z · Cited by 16 · see citing works
Huang, K.-C., Gomes, C., Shiga, Y., Belforte, N., VanderWall, K. B., Lavekar, S. S., Fligor, C. M., Harkin, J., Hetzer, S. M., Patil, S., et al. (2024) · Acta Neuropathologica Communications · doi:10.1186/s40478-024-01872-2 · Cited by 18 · see citing works
Ijezie, E. C., Miller, M. J., Hardy, C., Jarvis, A. R., Czajka, T. F., D’Brant, L., Rugenstein, N., Waickman, A. T., Murphy, E. A., & Butler, D. C. (2025) · Brain Pathology · doi:10.1111/bpa.70006 · Cited by 16 · see citing works
“Human iPSCs were cultured on a Matrigel matrix (Corning Cat # 356231) coated 6-well plates (Corning #3506) and fed with mTeSR (StemCell Technologies Cat # 85851). iPSC lines were maintained using FGF2Discs (Stem Cultures Cat # DSC500-48) and fed with mTeSR three times a week [38, 39].”
Kutchukian, C., Casas, M., Dixon, R. E., & Dickson, E. J. (2025) · Nature Communications · doi:10.1038/s41467-025-65798-6 · Cited by 18 · see citing works
“In Alzheimer ’ s disease models, it mitigated tau aggregation in cultured neurons 67 , and in tau-V337M cortical organoids modeling frontotemporal dementia 68 , it rescued neuronal cell death.”
Human Induced Pluripotent Stem Cell Models of Frontotemporal Dementia With Tau Pathology
Kühn, R., Mahajan, A., Canoll, P., & Hargus, G. (2021) · Frontiers in Cell and Developmental Biology · doi:10.3389/fcell.2021.766773 · Cited by 16 · see citing works
“Interestingly, neuronal disease phenotypes in V337M organoids were paralleled by an astrocytemediated neuroinflammatory response with an upregulation of interleukin-6, interleukin-8 and neuroinflammation signaling pathways in V337M astrocytes (Bowles et al., 2021).”
BackgroundInfluentialTsitkov, S., Valentine, K., Kozareva, V., Donde, A., Frank, A. P., Lei, S., Workman, M. J., Lim, R. G., Wu, J., Wu, Z., et al. (2024) · Nature Communications · doi:10.1038/s41467-024-47758-8 · Cited by 15 · see citing works
Efficient Gene Expression in Human Stem Cell Derived-Cortical Organoids Using Adeno Associated Virus
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“A number of studies gave evidence that early functional alterations usually precede neuronal cell death [42,43].”
BackgroundSelf-citationThe Advance on Frontotemporal Dementia (FTD)’s Neuropathology and Molecular Genetics
Wang, J., Wang, B., & Zhou, T. (2022) · Mediators of Inflammation · doi:10.1155/2022/5003902 · Cited by 14 · see citing works
“By selective shearing of exon 10, tau isomers with 3 (exon 10 absent) or 4 (exon 10 visible) repeats are produced, known as 3R-tau or 4R-tau [45, 46].”
BackgroundhPSCs-derived brain organoids for disease modeling, toxicity testing and drug evaluation
Xie, N., Bai, J., Hou, Y., Liu, J., Zhang, Y., Meng, X., & Wang, X. (2024) · Experimental Neurology · doi:10.1016/j.expneurol.2024.115110 · Cited by 15 · see citing works
Scalable production of human cortical organoids using a biocompatible polymer
Narazaki, G., Miura, Y., Pavlov, S. D., Thete, M. V., Roth, J. G., Avar, M., Shin, S., Kim, J., Hudáčová, Z., Heilshorn, S. C., et al. (2025) · Nature Biomedical Engineering · doi:10.1038/s41551-025-01427-3 · Cited by 24 · see citing works
“…shown that hCO, which are derived exclusively in suspension cultures without the use of extracellular matrices, recapitulate features of corticogenesis 8 , can be reliably derived across multiple experiments and lines 9 , and can be used to model environmental and genetic brain disorders 10–14 .”
Cao, Q., Kumar, M., Frazier, A., Williams, J. B., Zhao, S., & Yan, Z. (2023) · Aging · doi:10.18632/aging.205057 · Cited by 13 · see citing works
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Self-citationParrotta, E. I., Lucchino, V., Zannino, C., Valente, D., Scalise, S., Bressan, D., Benedetto, G. L., Iazzetta, M. R., Talarico, M., Gagliardi, M., et al. (2025) · Annals of Neurology · doi:10.1002/ana.27172 · Cited by 14 · see citing works
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“…as in vitro brain organogenesis models (Benito-Kwiecinski et al., 2021; Trevino et al., 2020), organoid-based phenotyping for neurological diseases (Bowles et al., 2021; Nakamura et al., 2019; Samarasinghe et al., 2021), and organoid transplantation for regenerative medicine (Dong et al., 2021;…”
BackgroundNeuronal Circuit Dysfunction in Amyotrophic Lateral Sclerosis
Salzinger, A., Ramesh, V., Sharma, S. D., Chandran, S., & Selvaraj, B. T. (2024) · Cells · doi:10.3390/cells13100792 · Cited by 12 · see citing works
“Key questions in understanding ALS circuit dysfunction could be addressed us-ing organoid/assembloid models to study long-range neuronal circuits [202,203,208–210], synapses [160,211,212], and myelination [213].”
BackgroundEvolution of the Neocortex Through RNA-Binding Proteins and Post-transcriptional Regulation
Salamon, I., & Rašin, M. (2022) · Frontiers in Neuroscience · doi:10.3389/fnins.2021.803107 · Cited by 11 · see citing works
Pacwa, A., Machowicz, J., Akhtar, S., Rodak, P., Liu, X., Pietrucha‐Dutczak, M., Lewin‐Kowalik, J., Amadio, M., & Smędowski, A. (2023) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2023.1131356 · Cited by 12 · see citing works
“Among the best-known RNAbinding proteins is the Hu/ELAV-like (ELAVL) family (Skliris et al., 2015; Bowles et al., 2021), whose ubiquitously expressed member HuR (ELAVL1) undoubtedly plays role in the homeostasis and survival mechanisms of neurons, including those at the retinal level, serving as the master regulator o…”
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McInvale, J. J., Canoll, P., & Hargus, G. (2024) · Brain Pathology · doi:10.1111/bpa.13231 · Cited by 11 · see citing works
“Orga-noid models of FTD caused by MAPT V337M mutations show p-tau accumulation, autophagy-lysosome disruption, and loss of glutamatergic neurons [221].”
BackgroundGRAMD1B is a regulator of lipid homeostasis, autophagic flux and phosphorylated tau
Ingram, D. A., Turkes, E., Kim, T. Y., Vo, S., Sweeney, N., Bonte, M.-A., Rutherford, R., Julian, D. L., Pan, M., Marsh, J. A., et al. (2025) · Nature Communications · doi:10.1038/s41467-025-58585-w · Cited by 12 · see citing works
“The demographics of human cases used in this study are listed in Supplementary Data 6.”
InfluentialSelf-citationModeling neurodegeneration with mutant-tau organoids
Pellegrini, L., & Lancaster, M. A. (2021) · Cell · doi:10.1016/j.cell.2021.07.031 · Cited by 11 · see citing works
Liu, N., Shiravi, S., Jin, T., Liu, J., Zhu, Z., Li, J., Cheung, I., Zhang, H., Wang, Y., Li, Q., et al. (2026) · Nature Biomedical Engineering · doi:10.1038/s41551-026-01620-y · Cited by 13 · see citing works
“2 and Supplementary Note 1), distributed uniformly to offer an interface with spatial resolution beyond 100 μm for a millimetre-sized neural organoid (Fig.”
InfluentialBioengineering innovations for neural organoids with enhanced fidelity and function
Sun, Y., Ikeuchi, Y., Guo, F., Hyun, I., Ming, G., & Fu, J. (2025) · Cell stem cell · doi:10.1016/j.stem.2025.03.014 · Cited by 14 · see citing works
Organoids in the Clinic: A Systematic Review of Outcomes
Hofmann, B., Zinöcker, S., Holm, S., Lewis, J., & Kavouras, P. (2022) · Cells Tissues Organs · doi:10.1159/000527237 · Cited by 10 · see citing works
Bridel, C., van Gils, J. H. M., Miedema, S. S. M., Hoozemans, J. J. M., Pijnenburg, Y. A. L., Smit, A. B., Rozemüller, A. J. M., Abeln, S., & Teunissen, C. E. (2023) · Alzheimer s Research & Therapy · doi:10.1186/s13195-023-01200-1 · Cited by 10 · see citing works
Biocompatible polymers for scalable production of human neural organoidsPreprint
Narazaki, G., Miura, Y., Pavlov, S. D., Thete, M. V., Roth, J. G., Shin, S., Heilshorn, S. C., & Pașca, S. P. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.03.18.484949 · Cited by 10 · see citing works
Rexach, J. E., Cheng, Y., Chen, L., Polioudakis, D., Lin, L., Mitri, V., Elkins, A. G., Yin, A., Calini, D., Kawaguchi, R., et al. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.09.29.560245 · Cited by 10 · see citing works
Linsley, J. W., Reisine, T., & Finkbeiner, S. M. (2024) · Journal of Biological Chemistry · doi:10.1016/j.jbc.2024.107433 · Cited by 9 · see citing works
“With longitudinal confocal imaging, Bowles et al. (138) tracked survival of fl uorescently labeled neurons in organoids derived from patients with dementia-related mutations and gene-corrected controls.”
BackgroundSynaptic gene expression changes in frontotemporal dementia due to the MAPT 10 + 16 mutation
Dando, O., McGeachan, R. I., McQueen, J., Baxter, P. S., Rockley, N., McAlister, H., Prasad, A. S., He, X., King, D., Rose, J. L., et al. (2024) · Neuropathology and Applied Neurobiology · doi:10.1111/nan.13006 · Cited by 9 · see citing works
“In human iPSC-derived organoids expressing MAPT with the V337M mutation that causes FTD, excitatory neurons are lost over time, and ELAVL4 , a major regulator of glutamatergic cell fate involved in synaptic plasticity, was increased in V337M organoids compared with isogenic controls [37].”
KCTD20 suppression mitigates excitotoxicity in tauopathy patient organoids
Berlind, J. E., Lai, J. D., Lie, C., Vicente, J., Lam, K., Guo, S., Chang, J., Yu, V. L., & Ichida, J. K. (2025) · Neuron · doi:10.1016/j.neuron.2025.02.001 · Cited by 10 · see citing works
Self-citationTumor-wide RNA splicing aberrations generate immunogenic public neoantigensPreprint
Kwok, D. W., Stevers, N. O., Nejo, T., Chen, L. H., Etxeberría, I., Jung, J., Okada, K., Cove, M. C., Lakshmanachetty, S., Gallus, M., et al. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.10.19.563178 · Cited by 9 · see citing works
“Notably, CELF2 78,79 and ELAVL4 80 have previously been reported to generate splice aberrations when overexpressed.”
BackgroundA narrative review of organoids for investigating organ aging: opportunities and challenges
Sun, X., Sun, F., Zhang, Y., Qu, J. T., Zhang, W., & Liu, G. (2023) · Journal of Bio-X Research · doi:10.1097/jbr.0000000000000139 · Cited by 8 · see citing works
“[77] The establishment of iPSC-derived organoids thus provides a great opportunity to recapitulate the progression of aging-related diseases in vitro, allowing researchers to explore the early events of diseases and discover early disease-associated molecular signatures and markers that can be ideal targets for therap…”
BackgroundRare Does Not Mean Worthless: How Rare Diseases Have Shaped Neurodevelopment Research in the NGS Era
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Large-scale single-molecule analysis of tau proteoforms
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“For example, for the mutant organoid (IVS10+16) FTD model, we observed a threefold higher abundance of triple (pT205–pT231–pS396) and quadruple (pT181–pT205–pT231–pTS396) phosphoforms than expected in an independent phosphorylation model (Fig.”
InfluentialSelf-citationTowards elucidating disease-relevant states of neurons and glia by CRISPR-based functional genomics
Leng, K., & Kampmann, M. (2022) · Genome Medicine · doi:10.1186/s13073-022-01134-7 · Cited by 7 · see citing works
“Compared to multilineage assembloids, cerebral brain organoids offer an even higher level of resemblance to the in vivo environment and have been used to model important disease-related processes in AD [111], PD [112, 113], ALS/FTD [114, 115], and numerous other diseases.”
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Self-citationAlternative splicing in stem cells and development: research progress and emerging technologies
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“…human stem cells (e.g., brain, heart, lung, liver, etc.) can reveal the human tissue development, evolution and pathological processes, which is of great significance, especially in the fields of drug screening and regenerative medicine (Bowles et al. 2021; Trujillo et al. 2021; Yang et al. 2023).”
Fial, I., Farrier, S. A., Chimento, D. P., Ascoli, C. A., Wan, X., & Oliver, P. L. (2025) · Nucleic Acid Therapeutics · doi:10.1177/21593337251361396 · Cited by 6 · see citing works
“35 Immunocytochemical approaches in 3D systems thus have the key advantage of utilizing unlabeled NATs, with the option for multiplexing with standardized cell-type-speci fi c markers, a critical aspect of spheroid and organoid characterization.”
Chaudhary, N., & Villa-Diaz, L. G. (2025) · Frontiers in Toxicology · doi:10.3389/ftox.2025.1667573 · Cited by 6 · see citing works
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- Authors
- Bowles, K. R., Silva, M. C., Whitney, K., Bertucci, T., Berlind, J. E., Lai, J. D., Garza, J. C., Boles, N. C., Mahali, S., Strang, K. H., Marsh, J. A., Chen, C., Pugh, D. A., Liu, Y., Gordon, R. E., Goderie, S. K., Chowdhury, R., Lotz, S., Lane, K., Crary, J. F., Haggarty, S. J., Karch, C. M., Ichida, J. K., Goate, A. M., & Temple, S.
- Affiliations
- Icahn School of Medicine at Mount Sinai (US)
- Harvard University (US)
- Neural Stem Cell Institute (US)
- University of Southern California (US)
- Washington University in St. Louis (US)
- Corresponding author
- Goate, Alison M.
- Temple, Sally
- ORCID
- Venue
- Cell
- Publisher
- Elsevier BV
- Published
- 2021-08
- Volume
- 184
- Issue
- 17
- Pages
- 4547-4563.e17
- ISSN
- 0092-8674 (ISSN-L)
- PMC
- PMC8635409
- OpenAlex
- W3183726003
- Cited by
- 175
- References
- 112
- Citations by year
- 2026: 32 · 2025: 35 · 2024: 37 · 2023: 29 · 2022: 37 · 2021: 5
- FWCI
- 14.05
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- www.elsevier.com/tdm/userlicense/1.0/ (tdm)
- www.elsevier.com/legal/tdmrep-license (tdm)
- www.elsevier.com/open-access/userlicense/1.0/ (vor, 384 d)
- doi.org/10.15223/policy-017 (stm-asf)
- doi.org/10.15223/policy-037 (stm-asf)
- doi.org/10.15223/policy-012 (stm-asf)
- doi.org/10.15223/policy-029 (stm-asf)
- doi.org/10.15223/policy-004 (stm-asf)
- Locations
- Cell (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (submittedVersion)
- Funders
- National Institutes of Health (AG046374)
- New York State Stem Cell Science (C029158)
- National Institute of Neurological Disorders and Stroke (R35 NS097277, F31NS117075)
- Harrington Discovery Institute, University Hospitals
- Hope Center for Neurological Disorders
- Eisai
- Rainwater Charitable Foundation
- New York Genome Center (U54NS092089, U01AG045390)
- U.S. Department of Defense (W81XWH-21-1-0168, W81XWH-21-1-0131, W81XWH-20-1-0424)
- National Institute on Aging (R01 AG056293, 2R01NS097850)
- John Douglas French Alzheimer's Foundation
- Biogen
- ALS Association
- Association for Frontotemporal Degeneration
- AbbVie
- BrightFocus Foundation
- Genentech
- Alzheimer's Drug Discovery Foundation
- Denali Therapeutics
- Tau Consortium
- California Institute for Regenerative Medicine
- New York Stem Cell Foundation
- GlaxoSmithKline
- Sächsische Aufbaubank
- Topics
- Health Sciences › Medicine › Physiology › Alzheimer's disease research and treatments
- Health Sciences › Medicine › Neurology › Amyotrophic Lateral Sclerosis Research
- Life Sciences › Neuroscience › Neurology › Neuroinflammation and Neurodegeneration Mechanisms
- Keywords
- frontotemporal dementia, MAPT mutations, ELAVL4, RNA-binding proteins, alternative splicing, glutamatergic neurons, glutamate excitotoxicity, stress granules, autophagy, tau accumulation, brain organoids, iPSC-derived neurons, apilimod, neurodegeneration
- MeSH terms
- ELAV-Like Protein 4, Stress Granules, Autophagy, Cell Line, Humans, Hydrazones, Lysosomes, Morpholines, Mutation, Neurons, Organoids, Phosphorylation, Pyrimidines, RNA Splicing, Synapses, Signal Transduction, Biomarkers, Up-Regulation, tau Proteins, Cell Death, Glutamic Acid, Body Patterning, Cerebrum
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Claims read by deepseek-v4.1-flash under definition version 3 (extract-v3) on 2026-10-23.
Classified by jev-1.13-20260917 (gold-guideline-v0.2) on 2026-10-23.
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