Single-nucleus transcriptome analysis reveals dysregulation of angiogenic endothelial cells and neuroprotective glia in Alzheimer’s disease
Open accessAbstract
Significance: Alzheimer’s disease (AD) has complex pathological mechanisms. Our limited understanding of the molecular and cellular changes in AD hindered the identification of therapeutic targets. In this study, we profiled 169,496 nuclei from the prefrontal cortical samples of AD patients and healthy controls by single-nucleus RNA sequencing. The results indicated that there is a loss of neuroprotective glial cells in AD, which may contribute to impaired neurotransmitter recycling in astrocytes, demyelination in oligodendrocytes, and perturbed synaptic pruning in microglia. Moreover, the analysis revealed a role of antigen presentation by angiogenic endothelial cells in AD. Together, our findings offer important insights into the therapeutic potential of targeting glial- and endothelial-specific pathways to restore brain homeostasis in AD.
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TL;DR
Single-nucleus RNA sequencing of 169,496 nuclei from AD and control prefrontal cortex identifies cell type-specific dysregulation, including loss of neuroprotective glial subpopulations and expansion of angiogenic endothelial cells with antigen-presentation signatures. The findings implicate glial and endothelial pathways in AD pathogenesis and therapeutic targeting.
Key findings
- Profiling 21 prefrontal cortex samples (AD n = 12; NC n = 9) yielded 169,496 nuclei (90,713 AD; 78,783 NC) across six major cell types: astrocytes 11.9 ± 1.4%, endothelial cells 2.3 ± 0.5%, excitatory neurons 45.2 ± 1.7%, inhibitory neurons 14.1 ± 0.9%, microglia 4.7 ± 0.6%, and oligodendrocytes 21.8 ± 2.5%. Endothelial cell proportion was higher in AD than NC (3.0 ± 0.9% vs. 1.2 ± 0.3%).
- AD-associated transcriptomic changes were largely cell type-specific: 2,190 DEGs total, with 551 in astrocytes, 299 in endothelial cells, 347 in excitatory neurons, 125 in inhibitory neurons, 340 in microglia, and 528 in oligodendrocytes; only 11 DEGs were shared across all six cell types.
- Subcluster analysis showed reduced neuroprotective/homeostatic subpopulations: astrocyte subpopulation a3 was 23.5% smaller in AD, while a1 and a6 were 9.9% and 10.2% larger; oligodendrocyte subpopulations o3 and o5 (myelination genes MAG, MOBP, OPALIN) were reduced; microglial m6 (C1QA/B/C, IL4R, IL1RAP) was smaller. Endothelial subpopulations e1, e3, and e4 were AD-up-regulated and enriched for angiogenesis genes (CLDN5, ERG, FLT1, VWF) and MHC-I antigen presentation (HLA-E).
- Cross-study validation found 1,113 and 764 DEGs significantly differentially expressed in prefrontal and temporal cortex microarray data, respectively; 86.7% of replicable prefrontal DEGs showed concordant changes. Comparison with Mathys et al. snRNA-seq identified 273 shared cell type-specific DEGs, with >90% concordant changes for astrocyte- and neuron-specific DEGs.
Methods
- Postmortem prefrontal cortex tissue (BA6, BA8, BA9) from the South West Dementia Brain Bank; AD classified by Braak stage ≥4 and NC ≤2; 21 subjects (AD mean age 74.6 y; NC 85.4 y; 8 male/4 female AD, 6 male/3 female NC).
- Nuclei isolated from frozen tissue, snRNA-seq libraries prepared with Chromium Single Cell 3′ Library Kit v3 (10× Genomics), sequenced on NovaSeq 6000; reads aligned to GRCh38 pre-mRNA reference with Cell Ranger v3.0.1; QC and downstream analysis in Seurat v3.0.
- Cell clustering by UMAP and K-nearest neighbor clustering; DEGs identified by Wilcoxon rank-sum test (adjusted P < 0.1, log2 fold change ≥ 0.1 or ≤ −0.1); subcluster analysis used enrichment scores >0.5 for AD-associated subpopulations; validation used bulk microarray datasets (GSE33000, GSE15222), prior snRNA-seq data, and mouse model transcriptome data.
Limitations
- No formal limitations section is included. The paper states that postmortem delay varied among samples, that bulk microarray data cannot distinguish cell type-specific changes, and that a previous snRNA-seq dataset had too few endothelial cells to validate endothelial findings; it also notes unresolved questions about how endothelial dysregulation leads to blood–brain barrier abnormalities and why remyelinating oligodendrocytes fail to overcome demyelination.
- Evident from the text: the sample size is modest (21 subjects), AD and NC groups differ in mean age (74.6 vs. 85.4 y), and the design is cross-sectional and associational, with no functional or causal validation of the identified pathways.
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- Findingown data
The proportion of endothelial cells was higher in AD samples than NC samples (3.0 ± 0.9% vs. 1.2 ± 0.3%).
“However, the proportion of endothelial cells was higher in the AD samples than the NC samples (3.0 ± 0.9% vs. 1.2 ± 0.3%, respectively; Fig. 2 A and B).”
Quote in the paperSubstantial claim - Findingown data
Only three of the seven identified endothelial cell subpopulations-e1, e3, and e4-contributed to the transcriptomic changes observed in endothelial cells in AD.
“Our subcluster analysis further revealed that only three of the seven identified endothelial cell subpopulations—e1, e3, and e4—contributed to the transcriptomic changes observed in endothelial cells in AD (Fig. 5A and SI Appendix, Fig. S7 A and B and Table S5).”
Quote in the paperSubstantial claim - Findingown data
The transcriptome profiles of the AD-up-regulated oligodendrocyte subpopulations o1 and o2 were characterized by enriched expression of HSPA1A, NEAT1, and PDE1A.
“Notably, the transcriptome profiles of the AD-up-regulated oligodendrocyte subpopulations o1 and o2 were characterized by enriched expression of HSPA1A (a heat shock protein), NEAT1 (a nuclear noncoding RNA), and PDE1A (which encodes phosphodiesterase 1A) (SI Appendix, Fig. S5 I and J); this expression pattern resembles that of remyelinating oligodendrocytes in patients with multiple sclerosis (22”
Quote in the paperSubstantial claim - Findingown data
273 cell type-specific DEGs were in common between our dataset and Mathys et al. snRNA-seq data: 53 in astrocytes, 97 in excitatory neurons, 24 in inhibitory neurons, 13 in microglia, and 86 in oligodendrocytes.
“We found 273 cell type-specific DEGs in common between the two datasets, including 53 in astrocytes, 97 in excitatory neurons, 24 in inhibitory neurons, 13 in microglia, and 86 in oligodendrocytes (SI Appendix, Fig. S4 A, B, D, E, G, H, J, K, M, and N).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [12] Mathys H.., Single-cell transcriptomic analysis of Alzheimer’s disease. Nature 570, 332– 337 (2019). 31042697 PMC6865822 source
Not checked in the free run.
- Findingown data
Genes associated with angiogenesis (CLDN5, ERG, FLT1, and VWF) and antigen presentation-especially MHC-I machinery (HLA-E)-were enriched in the three AD-up-regulated endothelial subpopulations.
“Transcriptome profiling showed that genes associated with angiogenesis (i.e., CLDN5, ERG, FLT1, and VWF) and antigen presentation—especially MHC-I (major histocompatibility complex class I) machinery (i.e., HLA-E)—were enriched in these three AD-up-regulated subpopulations (Fig. 5C and SI Appendix, Table S5).”
Quote in the paperSubstantial claim
- Findingown data
More than 90% of the overlapping genes, especially the astrocyte-specific and neuron-specific DEGs, exhibited concordant changes in AD.
“More than 90% of the overlapping genes, especially the astrocyte-specific and neuron-specific DEGs, exhibited concordant changes in AD (SI Appendix, Fig. S4 B, E, and H).”
Quote in the paperSubstantial claim - Findingown data
Only 11 of the 2,190 DEGs were differentially expressed in all six cell types.
“Among the 2,190 DEGs, only 11 were differentially expressed in all cell types (Fig. 2D), suggesting that most observed AD-associated transcriptomic changes are cell type-specific.”
Quote in the paperSubstantial claim - Findingown data
Among the DEGs identified in snRNA-seq, 1,113 and 764 genes were significantly differentially expressed in the microarray data from the prefrontal cortex and temporal cortex, respectively (adjusted P < 0.05).
“Among the DEGs identified in our snRNA-seq analysis, 1,113 and 764 genes were significantly differentially expressed in the microarray data from the prefrontal cortex and temporal cortex, respectively (adjusted P < 0.05) (SI Appendix, Table S4).”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [18] Narayanan M.., Common dysregulation network in the human prefrontal cortex underlies two neurodegenerative diseases. Mol. Syst. Biol. 10, 743 (2014). 25080494 PMC4299500 source
Not checked in the free run.
- cites [19] Webster J. A..; NACC-Neuropathology Group, Genetic control of human brain transcript expression in Alzheimer disease. Am. J. Hum. Genet. 84, 445– 458 (2009). 19361613 PMC2667989 source
Not checked in the free run.
- Findingown data
Endothelial cells also exhibited dysregulation of immune response-related genes (e.g., HLA-E) in AD.
“Of note, endothelial cells also exhibited dysregulation of immune response-related genes (e.g., HLA-E) in AD (Fig. 2E).”
Quote in the paperSubstantial claim - Findingown data
DEGs in oligodendrocytes (e.g., CTNNA2 and OPALIN) were associated with myelination.
“Besides the transcriptomic changes in neurons and astrocytes, our pathway analysis also revealed that the DEGs in microglia (e.g., AIF1, CD14, GPR183, and PLEKHA7), endothelial cells (e.g., CLDN5, EPHA4, FLT1, PECAM1, and VWF), and oligodendrocytes (e.g., CTNNA2 and OPALIN) were associated with immune response, angiogenesis, and myelination, respectively (Fig. 2E).”
Quote in the paperSubstantial claim - Findingown data
The signature genes of the AD-up-regulated endothelial subpopulations form an interaction network associated with six major biological functions: angiogenesis/adhesion, transmembrane transport, antigen presentation, metal ion homeostasis, cellular respiration, and rRNA processing.
“Pathway analysis and protein–protein interaction network analysis further revealed that the signature genes of these AD-up-regulated subpopulations form an interaction network associated with six major biological functions: angiogenesis/adhesion, transmembrane transport, antigen presentation, metal ion homeostasis, cellular respiration, and rRNA processing (Fig. 5 D and E).”
Quote in the paperSubstantial claim - Findingown data
86.7% of the replicable DEGs in the prefrontal cortex microarray exhibited concordant changes in expression levels.
“In addition, 86.7% of the replicable DEGs in the prefrontal cortex microarray exhibited concordant changes in expression levels; these included changes specific to astrocytes (e.g., HES5, SLC1A2, SPARCL1, TNIK, and WIF1), endothelial cells (e.g., CLDN5, FLT1, HLA-E, PECAM1, and VWF), and oligodendrocytes (e.g., CTNNA2, GLDN, MOBP, NEAT1, and OPALIN) (Fig. 3 A–C).”
Quote in the paperSubstantial claim - Findingown data
The expression changes of these DEGs were concordant in both sexes but to different degrees.
“Stratification of the expression levels of these DEGs by sex showed that their expression changes were concordant in both sexes but to different degrees (SI Appendix, Fig. S3).”
Quote in the paperNot a substantial claim - Findingown data
The AD-down-regulated oligodendrocyte subpopulations o3 and o5 exhibited enriched expression of genes associated with myelination, including MAG, MOBP, and OPALIN.
“Pathway analysis revealed that the AD-down-regulated oligodendrocyte subpopulations o3 and o5 exhibited enriched expression of genes associated with myelination, including MAG, MOBP, and OPALIN (Fig. 4 G and H and SI Appendix, Fig. S5H and Table S5).”
Quote in the paperSubstantial claim - Findingown data
The relative proportions of astrocyte subpopulations a2, a4, a5, a7, a8, and a9 were similar between AD and NC samples.
“The relative proportions of subpopulations a2, a4, a5, a7, a8, and a9 were similar between the AD and NC samples (Fig. 4A and SI Appendix, Fig. S5A).”
Quote in the paperNot a substantial claim - Findingown data
DEGs in endothelial cells (e.g., CLDN5, EPHA4, FLT1, PECAM1, and VWF) were associated with angiogenesis.
“Besides the transcriptomic changes in neurons and astrocytes, our pathway analysis also revealed that the DEGs in microglia (e.g., AIF1, CD14, GPR183, and PLEKHA7), endothelial cells (e.g., CLDN5, EPHA4, FLT1, PECAM1, and VWF), and oligodendrocytes (e.g., CTNNA2 and OPALIN) were associated with immune response, angiogenesis, and myelination, respectively (Fig. 2E).”
Quote in the paperSubstantial claim - Findingown data
Astrocytic neurexin genes (including NRXN1 and NRXN3) were down-regulated in AD samples.
“Specifically, the expression levels of astrocytic neurexin genes (including NRXN1 and NRXN3), which regulate excitatory synaptogenesis (16, 17), were down-regulated in the AD samples.”
Quote in the paperNot a substantial claim - Findingown data
Only oligodendrocyte subpopulations o1, o2, o3, and o5 were enriched with genes that were differentially expressed in oligodendrocytes in AD.
“Among these, only four subpopulations—o1, o2, o3, and o5—were enriched with genes that were differentially expressed in oligodendrocytes in AD (Fig. 4F and SI Appendix, Fig. S5 F and G).”
Quote in the paperSubstantial claim - Findingown data
Several regulators of signature genes in the AD-up-regulated endothelial subpopulations, including IFNG, IRF7, and TCR, were associated with inflammatory response.
“The results revealed that several regulators of signature genes in the AD-up-regulated subpopulations, including IFNG, IRF7, and TCR, were associated with inflammatory response (SI Appendix, Fig. S7D).”
Quote in the paperSubstantial claim - Findingown data
The expression of HMGB1 was higher in the AD-up-regulated astrocyte subpopulations than the AD-down-regulated subpopulation.
“Moreover, the expression of HMGB1, an alarmin that conveys injury signals to surrounding cells, was higher in the AD-up-regulated subpopulations than the AD-down-regulated subpopulation (SI Appendix, Fig. S5D) (20).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [20] Harris H. E., Andersson U., Pisetsky D. S., HMGB1: A multifunctional alarmin driving autoimmune and inflammatory disease. Nat. Rev. Rheumatol. 8, 195– 202 (2012). 22293756 source
Not checked in the free run.
- Findingown data
Subcluster analysis identified nine oligodendrocyte subpopulations in NC and AD brains.
“Regarding oligodendrocytes, subcluster analysis identified nine subpopulations in NC and AD brains (Fig. 4E).”
Quote in the paperSubstantial claim - Findingown data
The transcriptome profile of the AD-down-regulated astrocyte subpopulation (a3) was characterized by enriched expression of genes associated with neurotransmitter metabolism, including SLC1A2 and GLUL.
“The transcriptome profile of the AD-down-regulated astrocyte subpopulation was characterized by enriched expression of genes associated with neurotransmitter metabolism, including SLC1A2 and GLUL (Fig. 4 C and D and SI Appendix, Fig. S5C and Table S5).”
Quote in the paperSubstantial claim - Findingown data
Down-regulated genes in astrocytes (e.g., HES5, NTRK2, SLC1A2, SPARCL1, and WIF1) were associated with synaptic signaling and glutamate secretion.
“Similarly, the down-regulated genes in astrocytes (e.g., HES5, NTRK2, SLC1A2, SPARCL1, and WIF1) were associated with synaptic signaling and glutamate secretion.”
Quote in the paperSubstantial claim - Findingown data
The AD-up-regulated astrocyte subpopulations (a1 and a6) exhibited enriched expression of stress response-associated genes including CRYAB, GFAP, and LINGO1.
“The AD-up-regulated subpopulations exhibited enriched expression of stress response-associated genes including CRYAB (a heat shock protein), GFAP (a reactive astrocyte marker), and LINGO1 (a negative regulator of myelination) (SI Appendix, Fig. S5 D and E).”
Quote in the paperSubstantial claim - Findingown data
All three endothelial subpopulations (e1, e3, and e4) were classified as AD-up-regulated subpopulations.
“Of note, all three subpopulations were classified as AD-up-regulated subpopulations (Fig. 5B and SI Appendix, Fig. S7C).”
Quote in the paperSubstantial claim - Findingown data
Analysis of bulk microarray data from mouse models of amyloid-beta deposition or Tau hyperphosphorylation revealed transcriptome reprogramming similar to that observed in endothelial cells in patients with AD.
“Moreover, analysis of bulk microarray data from mouse models of amyloid-beta deposition or Tau hyperphosphorylation also revealed transcriptome reprogramming similar to that observed in endothelial cells in patients with AD (SI Appendix, Fig. S7E), suggesting that the activation of endothelial cells in neurodegeneration is conserved between humans and mice.”
Quote in the paperSubstantial claim - Findingown data
DEGs in excitatory and inhibitory neurons (e.g., SNAP25) were associated with synaptic organization and adhesion.
“Our findings demonstrated that the DEGs in both excitatory and inhibitory neurons (e.g., SNAP25) were associated with synaptic organization and adhesion.”
Quote in the paperNot a substantial claim - Findingown data
DEGs in microglia (e.g., AIF1, CD14, GPR183, and PLEKHA7) were associated with immune response.
“Besides the transcriptomic changes in neurons and astrocytes, our pathway analysis also revealed that the DEGs in microglia (e.g., AIF1, CD14, GPR183, and PLEKHA7), endothelial cells (e.g., CLDN5, EPHA4, FLT1, PECAM1, and VWF), and oligodendrocytes (e.g., CTNNA2 and OPALIN) were associated with immune response, angiogenesis, and myelination, respectively (Fig. 2E).”
Quote in the paperSubstantial claim - Findingown data
Subcluster analysis of astrocytes identified nine transcriptomically unique subpopulations.
“Subcluster analysis of astrocytes identified nine transcriptomically unique subpopulations (Fig. 4A).”
Quote in the paperSubstantial claim - Findingown data
Compared to NC samples, AD samples exhibited a smaller proportion of the m6 subpopulation, which expresses genes important for synaptic pruning (C1QA, C1QB, and C1QC) and cytokine response (IL4R and IL1RAP).
“Notably, compared to the NC samples, the AD samples exhibited a smaller proportion of the m6 subpopulation, which expresses genes important for synaptic pruning (i.e., C1QA, C1QB, and C1QC, which encode complement component 1q) and cytokine response (i.e., IL4R and IL1RAP) (SI Appendix, Fig. S6 C and D).”
Quote in the paperSubstantial claim - Findingown data
Endothelial cells in AD show induction of MHC-I.
“Therefore, the induction of MHC-I in endothelial cells in AD might reflect response to viral infection.”
Quote in the paperSubstantial claim - Findingown data
Endothelial cells in AD show enhanced expression of genes involved in antigen presentation.
“Our transcriptome profiling revealed that endothelial cells adopt an angiogenic state characterized by enhanced expression of genes involved in angiogenesis and antigen presentation.”
Quote in the paperNot a substantial claim - Findingcitation
The molecular changes observed in our study were associated with the demyelination process in AD.
“Consistent with recent findings (12, 13), the molecular changes observed in our study were associated with the demyelination process in AD.”
Quote in the paperNot a substantial claim - Findingown data
Endothelial cells in AD adopt an angiogenic state characterized by increased expression of angiogenic genes/factors and receptors (including ERG, FLT1, and VWF).
“Our transcriptome profiling revealed that endothelial cells adopt an angiogenic state characterized by enhanced expression of genes involved in angiogenesis and antigen presentation.”
- Also stated in: § Discussion · plain
“Although it remains unclear how the dysregulation of endothelial cells leads to blood–brain barrier abnormalities in AD, our findings show that in AD, endothelial cells adopt an angiogenic state characterized by increased expression of angiogenic factors and receptors including ERG, FLT1, and VWF.”
Quote in the paperSubstantial claim - Also stated in: § Discussion · plain
- Findingown data
Oligodendrocytes adopt a remyelinating state in AD.
“Interestingly, our results also show that oligodendrocytes adopt a remyelinating state in AD, suggesting a potential cell-intrinsic recovery mechanism.”
Quote in the paperSubstantial claim - Interpretationreasoning
The addition of our dataset to existing snRNA-seq datasets of AD brains enhances the comprehensiveness of cell type-specific transcriptomic changes in AD, especially in endothelial cells.
“Therefore, the addition of our dataset to the existing snRNA-seq datasets of AD brains enhances the comprehensiveness of cell type-specific transcriptomic changes in AD, especially in endothelial cells.”
Quote in the paperSubstantial claim - Interpretationreasoning
The o3 and o5 subpopulations were mature myelinated oligodendrocytes.
“Therefore, we concluded that the o3 and o5 subpopulations were mature myelinated oligodendrocytes.”
Quote in the paperSubstantial claim - Interpretationreasoning
The dysregulated pathways in astrocytes could contribute to synaptic impairment in AD.
“Therefore, our findings suggest that the dysregulated pathways in astrocytes could contribute to synaptic impairment in AD.”
Quote in the paperSubstantial claim - Interpretationown data
The dysregulated pathways in endothelial cells are associated with angiogenesis and antigen presentation.
“For example, we found that the dysregulated pathways in endothelial cells are associated with angiogenesis and antigen presentation.”
Quote in the paperSubstantial claim - Interpretationown data
Single-nucleus transcriptomic profiling highlights the potential roles of dysregulated angiogenesis in endothelial cells of AD patients.
“Together, our single-nucleus transcriptomic profiling highlights the potential roles of dysregulated angiogenesis in endothelial cells of AD patients.”
Quote in the paperSubstantial claim - Interpretationown data
The AD-associated transcriptomic changes identified in snRNA-seq are validated by comparison with large cohort microarray data.
“These results validate the AD-associated transcriptomic changes identified in our snRNA-seq analysis.”
Quote in the paperSubstantial claim - Interpretationreasoning
Astrocytic dysfunction in AD contributes to the dysregulation of neurotransmitter recycling and exaggerated alarmin response.
“These findings suggest that astrocytic dysfunction in AD contributes to the dysregulation of neurotransmitter recycling and exaggerated alarmin response.”
Quote in the paperSubstantial claim - Premisecitation
Along the oligodendroglial lineage, myelinated mature oligodendrocytes exhibit enriched expression of MAG, MOBP, and OPALIN.
“Along the oligodendroglial lineage, myelinated mature oligodendrocytes exhibit enriched expression of MAG, MOBP, and OPALIN (21).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [21] Marques S.., Oligodendrocyte heterogeneity in the mouse juvenile and adult central nervous system. Science 352, 1326– 1329 (2016). 27284195 PMC5221728 source
Not checked in the free run.
- Interpretationreasoning
The loss of the m6 microglial subpopulation can contribute to imbalanced complement signaling and synaptic pruning in AD.
“Given that aberrant complement signaling mediates nonselective synaptic pruning via phagocytosis (23), our results suggest that the loss of this typical microglial subpopulation can contribute to the imbalanced complement signaling and synaptic pruning in AD.”
Quote in the paperSubstantial claim - Interpretationreasoning
These findings validate the cell type-specific dysregulated pathways identified in our study.
“Thus, these findings validate the cell type-specific dysregulated pathways identified in our study.”
Quote in the paperSubstantial claim - Study design and conductown data
The sample quality-indicated by the mean numbers of transcripts and genes detected per nucleus-did not seem to be affected by postmortem delay.
“Despite the variations in postmortem delay among samples, we showed that the sample quality—indicated by the mean numbers of transcripts and genes detected per nucleus—did not seem to be affected by the postmortem delay (SI Appendix, Fig. S1A).”
Quote in the paperNot a substantial claim - Interpretationown data
The molecular characterization of the human AD brain supports the prevailing hypotheses based on studies of transgenic mouse models of AD.
“In addition to identifying dysregulated pathways involved in AD pathogenesis, our molecular characterization of the human AD brain supports the prevailing hypotheses based on studies of transgenic mouse models of AD.”
Quote in the paperNot a substantial claim - Interpretationown data
The induction of angiogenic endothelial cells is regulated by a proinflammatory response.
“This suggests that the induction of angiogenic endothelial cells is regulated by a proinflammatory response.”
Quote in the paperSubstantial claim - Interpretationown data
Most AD-associated transcriptomic changes are cell type-specific.
“Among the 2,190 DEGs, only 11 were differentially expressed in all cell types (Fig. 2D), suggesting that most observed AD-associated transcriptomic changes are cell type-specific.”
Quote in the paperSubstantial claim - Interpretationcitation
The expression pattern of the AD-up-regulated oligodendrocyte subpopulations o1 and o2 resembles that of remyelinating oligodendrocytes in patients with multiple sclerosis.
“Notably, the transcriptome profiles of the AD-up-regulated oligodendrocyte subpopulations o1 and o2 were characterized by enriched expression of HSPA1A (a heat shock protein), NEAT1 (a nuclear noncoding RNA), and PDE1A (which encodes phosphodiesterase 1A) (SI Appendix, Fig. S5 I and J); this expression pattern resembles that of remyelinating oligodendrocytes in patients with multiple sclerosis (22”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [22] Jäkel S.., Altered human oligodendrocyte heterogeneity in multiple sclerosis. Nature 566, 543– 547 (2019). 30747918 PMC6544546 source
Not checked in the free run.
- Interpretationown data
The activation of endothelial cells in neurodegeneration is conserved between humans and mice.
“Moreover, analysis of bulk microarray data from mouse models of amyloid-beta deposition or Tau hyperphosphorylation also revealed transcriptome reprogramming similar to that observed in endothelial cells in patients with AD (SI Appendix, Fig. S7E), suggesting that the activation of endothelial cells in neurodegeneration is conserved between humans and mice.”
Quote in the paperNot a substantial claim - Interpretationreasoning
Our study provides evidence of a potential link between endothelial angiogenesis and blood-brain barrier abnormalities in patients with AD.
“Therefore, our study provides evidence of a potential link between endothelial angiogenesis and blood–brain barrier abnormalities in patients with AD.”
Quote in the paperSubstantial claim - Study design and conductcitation
The previous snRNA-seq dataset (12) had a low proportion of endothelial cells, rendering it unsuitable for validating our findings in endothelial cells.
“However, the proportion of endothelial cells in the previous dataset was low, rendering it unsuitable for validating our findings in endothelial cells.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [12] Mathys H.., Single-cell transcriptomic analysis of Alzheimer’s disease. Nature 570, 332– 337 (2019). 31042697 PMC6865822 source
Not checked in the free run.
- Premisecitation
Increased expression of angiogenic genes in endothelial cells is associated with the blood vessel abnormalities observed in mouse models of neurodegeneration.
“Notably, increased expression of angiogenic genes in endothelial cells is associated with the blood vessel abnormalities observed in mouse models of neurodegeneration (40).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [40] Bennett R. E.., Tau induces blood vessel abnormalities and angiogenesis-related gene expression in P301L transgenic mice and human Alzheimer’s disease. Proc. Natl. Acad. Sci. U.S.A. 115, E1289– E1298 (2018). 29358399 PMC5819390 source
Not checked in the free run.
- Premisecitation
Compromised blood-brain barrier integrity permits the direct entry of neurotoxic thrombin and plasmin, leading to synapse loss.
“Compromised blood–brain barrier integrity permits the direct entry of neurotoxic thrombin and plasmin, leading to synapse loss (41, 42).”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [41] Mhatre M.., Thrombin, a mediator of neurotoxicity and memory impairment. Neurobiol. Aging 25, 783– 793 (2004). 15165703 source
Not checked in the free run.
- cites [42] Chen Z. L., Strickland S., Neuronal death in the hippocampus is promoted by plasmin-catalyzed degradation of laminin. Cell 91, 917– 925 (1997). 9428515 source
Not checked in the free run.
- Interpretationown data
The loss of myelinated oligodendrocyte subpopulations suggests disruption of oligodendrocyte maintenance in AD.
“Similarly, the loss of myelinated oligodendrocyte subpopulations suggests the disruption of oligodendrocyte maintenance in AD.”
Quote in the paperSubstantial claim - Premisecitation
The Narayanan et al. dataset (GEO GSE33000) is a bulk transcriptome microarray analysis of prefrontal cortical tissues in a large cohort (AD: n = 310; NC: n = 157).
“We also obtained the dataset from a study by Narayanan et al. (Gene Expression Omnibus [GEO] accession no. GSE33000), who performed bulk transcriptome microarray analysis of prefrontal cortical tissues in a large cohort (AD: n = 310; NC: n = 157) (18).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [18] Narayanan M.., Common dysregulation network in the human prefrontal cortex underlies two neurodegenerative diseases. Mol. Syst. Biol. 10, 743 (2014). 25080494 PMC4299500 source
Not checked in the free run.
- Study design and conductown data
The single-nucleus suspensions were of high purity (>95% DAPI+ nuclei in all samples).
“We also assessed the purity of the single-nucleus suspensions by flow cytometry; this protocol routinely yielded high-purity, single-nucleus suspensions (i.e., >95% DAPI+ nuclei in all samples).”
Quote in the paperSubstantial claim - Study design and conductown data
The numbers of genes and detected transcripts were independent of postmortem delay variation.
“Although the postmortem delay varied among samples, we also found that the numbers of genes and detected transcripts were independent of postmortem delay variation (SI Appendix, Fig. S1A).”
Quote in the paperNot a substantial claim - Interpretationown data
Endothelial cells play a role in antigen presentation, specifically via MHC-I, in AD.
“Our findings also suggest a role of endothelial cells in antigen presentation, specifically that by MHC-I, in AD.”
Quote in the paperSubstantial claim
- May combine two claims. 30
- Classified as probably not a substantial claim. 27
May combine two claims.
Findingown dataThe proportions of astrocytes, excitatory neurons, inhibitory neurons, microglia, and oligodendrocytes were similar between AD and NC brain samples.
“UMAP cluster analysis revealed that the proportions of astrocytes, excitatory neurons, inhibitory neurons, microglia, and oligodendrocytes were similar between the AD and NC brain samples.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataThere were 2,190 differentially expressed genes (DEGs) between AD and NC brain samples: 551 in astrocytes, 299 in endothelial cells, 347 in excitatory neurons, 125 in inhibitory neurons, 340 in microglia, and 528 in oligodendrocytes.
“We identified the following 2,190 differentially expressed genes (DEGs) between the AD and NC brain samples: 551 in astrocytes, 299 in endothelial cells, 347 in excitatory neurons, 125 in inhibitory neurons, 340 in microglia, and 528 in oligodendrocytes (Fig. 2C and SI Appendix, Table S3).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataThe 169,496 nuclei from 21 prefrontal cortex samples clustered into six major cell types: astrocytes (11.9 ± 1.4%), endothelial cells (2.3 ± 0.5%), excitatory neurons (45.2 ± 1.7%), inhibitory neurons (14.1 ± 0.9%), microglia (4.7 ± 0.6%), and oligodendrocytes (21.8 ± 2.5%).
“This analysis yielded 43 unique cell clusters (SI Appendix, Fig. S1B), which we subsequently categorized into the following six major cell types according to their individual transcriptome profiles and previously reported cell-type markers: astrocytes (AQP4+, 11.9 ± 1.4% of total nuclei), endothelial cells (CLDN5+, 2.3 ± 0.5%), excitatory neurons (CAMK2A+, 45.2 ± 1.7%), inhibitory neurons (GAD1+,”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataThe six major cell types expressed unique signature genes, including ADGRV1, GPC5, and RYR3 in astrocytes; ABCB1 and EBF1 in endothelial cells; CBLN2 and LDB2 in excitatory neurons; LHFPL3 and PCDH15 in inhibitory neurons; LRMDA and DOCK8 in microglia; and PLP1 and ST18 in oligodendrocytes.
“In addition to the previously reported cell-type markers, these six major cell types expressed the following unique signature genes, which can serve as novel cell-type markers: ADGRV1, GPC5, and RYR3 were expressed by astrocytes; ABCB1 and EBF1 by endothelial cells; CBLN2 and LDB2 by excitatory neurons; LHFPL3 and PCDH15 by inhibitory neurons; LRMDA and DOCK8 by microglia; and PLP1 and ST18 by”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataCompared to NC samples, the relative proportions of astrocyte subpopulations a1 and a6 were 9.9% and 10.2% larger in AD samples, respectively, while that of a3 was 23.5% smaller.
“However, compared to the NC samples, the relative proportions of a1 and a6 were 9.9% and 10.2% larger in the AD samples, respectively, while that of a3 was 23.5% smaller (Fig. 4A and SI Appendix, Fig. S5A).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataThe overlapping DEGs were associated with transsynaptic signaling in astrocytes, synaptic signaling in excitatory neurons, mitochondrial functions in inhibitory neurons, secretion in microglia, and axonogenesis in oligodendrocytes.
“Moreover, pathway analysis showed that these overlapping DEGs were associated with transsynaptic signaling in astrocytes (SI Appendix, Fig. S4C), synaptic signaling in excitatory neurons (SI Appendix, Fig. S4F), mitochondrial functions in inhibitory neurons (SI Appendix, Fig. S4I), secretion in microglia (SI Appendix, Fig. S4L), and axonogenesis in oligodendrocytes (SI Appendix, Fig. S4O).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataSubcluster analysis of microglia identified 13 subpopulations; only m1, m6, and m7 contributed to the transcriptomic changes in microglia in AD.
“Finally, subcluster analysis of microglia identified 13 subpopulations; only 3 of them—m1, m6, and m7—contributed to the transcriptomic changes in microglia in AD (SI Appendix, Fig. S6 A and B and Table S5).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataOnly astrocyte subpopulations a1, a3, and a6 expressed DEGs; a1 and a6 were enriched with up-regulated signature genes, whereas a3 was enriched in down-regulated signature genes.
“Only subpopulations a1, a3, and a6 expressed DEGs; specifically, subpopulations a1 and a6 were enriched with up-regulated signature genes, whereas subpopulation a3 was enriched in down-regulated signature genes (SI Appendix, Fig. S5B).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataThe AD brain contains a reduced proportion of neuroprotective astrocytes, which are associated with glutamate recycling and synaptic signaling.
“Indeed, we showed that the AD brain contains a reduced proportion of neuroprotective astrocytes, which are associated with glutamate recycling and synaptic signaling.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationPrevious studies using transgenic mouse models of AD have identified various mechanisms that lead to synaptic impairment in AD, including the accumulation of soluble amyloid-beta, Tau hyperphosphorylation, loss of VGF signaling, and glial state dysregulation.
“For example, previous studies using transgenic mouse models of AD have identified various mechanisms that lead to synaptic impairment in AD, including the accumulation of soluble amyloid-beta, Tau hyperphosphorylation, loss of VGF signaling, and glial state dysregulation (e.g., the induction of disease-associated microglia and disease-associated astrocytes) (9, 23–30).”
Quote in the paperNot a substantial claim0 of 9 sources checked- cites [9] Liddelow S. A.., Neurotoxic reactive astrocytes are induced by activated microglia. Nature 541, 481– 487 (2017). 28099414 PMC5404890 source
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- cites [23] Hong S.., Complement and microglia mediate early synapse loss in Alzheimer mouse models. Science 352, 712– 716 (2016). 27033548 PMC5094372 source
Not checked in the free run.
- cites [24] Sheng M., Sabatini B. L., Südhof T. C., Synapses and Alzheimer’s disease. Cold Spring Harb. Perspect. Biol. 4, 10 (2012). PMC3331702 22491782 source
Not checked in the free run.
- cites [25] Tremblay M. È., Sierra A., Microglia in Health and Disease, (Springer, 2014). source
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- cites [26] El Gaamouch F.., VGF-derived peptide TLQP-21 modulates microglial function through C3aR1 signaling pathways and reduces neuropathology in 5xFAD mice. Mol. Neurodegener. 15, 4 (2020). 31924226 PMC6954537 source
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- cites [27] Butovsky O.., Identification of a unique TGF-β-dependent molecular and functional signature in microglia. Nat. Neurosci. 17, 131– 143 (2014). 24316888 PMC4066672 source
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- cites [28] Habib N.., Disease-associated astrocytes in Alzheimer’s disease and aging. Nat. Neurosci. 23, 701– 706 (2020). 32341542 PMC9262034 source
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- cites [29] Keren-Shaul H.., A unique microglia type Associated with restricting development of Alzheimer’s disease. Cell 169, 1276– 1290.e17 (2017). 28602351 source
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- cites [30] Beckmann N. D.., Multiscale causal networks identify VGF as a key regulator of Alzheimer’s disease. Nat. Commun. 11, 3942 (2020). 32770063 PMC7414858 source
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Interpretationown dataThe cell type-specific transcriptomic changes in AD are associated with four molecular pathways: angiogenesis in endothelial cells, immune response in endothelial cells and microglia, myelination in oligodendrocytes, and synaptic signaling in astrocytes and neurons.
“Together, our results reveal that the cell type-specific transcriptomic changes in AD are associated with four molecular pathways: angiogenesis in endothelial cells, immune response in endothelial cells and microglia, myelination in oligodendrocytes, and synaptic signaling in astrocytes and neurons (Fig. 2E).”
Quote in the paperSubstantial claimMay combine two claims.
Interpretationown dataThe dysregulation of these pathways in AD is due to changes in the subpopulation heterogeneity of respective cell types, including the reduced proportions of neuroprotective astrocytes and oligodendrocytes as well as the increased proportions of endothelial cells, which are associated with enhanced angiogenesis and antigen presentation.
“Moreover, we showed that the dysregulation of these pathways in AD is due to changes in the subpopulation heterogeneity of respective cell types, including the reduced proportions of neuroprotective astrocytes and oligodendrocytes as well as the increased proportions of endothelial cells, which are associated with enhanced angiogenesis and antigen presentation.”
Quote in the paperSubstantial claimMay combine two claims.
InterpretationreasoningThis could lead to synaptic loss due to excitotoxicity and reduced synaptogenesis due to the destabilization of nascent synapses, which would result in a net loss of synapses during disease progression.
“This could lead to synaptic loss due to excitotoxicity (6, 33, 34) and reduced synaptogenesis due to the destabilization of nascent synapses (16, 17), which would result in a net loss of synapses during disease progression.”
Quote in the paperSubstantial claim0 of 5 sources checked- cites [6] Hynd M. R., Scott H. L., Dodd P. R., Glutamate-mediated excitotoxicity and neurodegeneration in Alzheimer’s disease. Neurochem. Int. 45, 583– 595 (2004). 15234100 source
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- cites [33] Eid T., Tu N., Lee T. S. W., Lai J. C. K., Regulation of astrocyte glutamine synthetase in epilepsy. Neurochem. Int. 63, 670– 681 (2013). 23791709 PMC3825815 source
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- cites [34] Petr G. T.., Conditional deletion of the glutamate transporter GLT-1 reveals that astrocytic GLT-1 protects against fatal epilepsy while neuronal GLT-1 contributes significantly to glutamate uptake into synaptosomes. J. Neurosci. 35, 5187– 5201 (2015). 25834045 PMC4380995 source
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- cites [16] Stogsdill J. A.., Astrocytic neuroligins control astrocyte morphogenesis and synaptogenesis. Nature 551, 192– 197 (2017). 29120426 PMC5796651 source
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- cites [17] Südhof T. C., Synaptic neurexin complexes: A molecular code for the logic of neural circuits. Cell 171, 745– 769 (2017). 29100073 PMC5694349 source
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Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationImpaired recycling of neurotransmitters, especially glutamate, results in excitotoxicity and leads to neuronal death.
“Indeed, impaired recycling of neurotransmitters, especially glutamate, results in excitotoxicity and leads to neuronal death (6).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [6] Hynd M. R., Scott H. L., Dodd P. R., Glutamate-mediated excitotoxicity and neurodegeneration in Alzheimer’s disease. Neurochem. Int. 45, 583– 595 (2004). 15234100 source
Not checked in the free run.
May combine two claims.
Interpretationown dataIn AD, three specific astrocyte subpopulations contribute to the transcriptomic changes in astrocytes; the subpopulation of homeostatic astrocytes (a3), crucial for neurotransmitter recycling, is reduced; and alarmin-expressing astrocytes (a1 and a6) are induced.
“Thus, our results show that in AD, (i) three specific astrocyte subpopulations contribute to the transcriptomic changes in astrocytes, (ii) the subpopulation of homeostatic astrocytes (a3), which are crucial for neurotransmitter recycling, is reduced, and (iii) alarmin-expressing astrocytes are induced (a1 and a6).”
Quote in the paperSubstantial claimMay combine two claims.
Interpretationown dataSingle-nucleus transcriptome analysis identified four major molecular pathways dysregulated in specific neural cell types in AD: impaired synaptic signaling in astrocytes and neurons, reduced myelination in oligodendrocytes, aberrant immune activation in microglia and endothelial cells, and enhanced angiogenesis in endothelial cells.
“Accordingly, our single-nucleus transcriptome analysis identified the four major molecular pathways that are dysregulated in specific neural cell types in patients with AD: impaired synaptic signaling in astrocytes and neurons, reduced myelination in oligodendrocytes, aberrant immune activation in microglia and endothelial cells, and enhanced angiogenesis in endothelial cells.”
Quote in the paperSubstantial claimMay combine two claims.
InterpretationreasoningSuch changes were not observed in previous snRNA-seq studies, possibly due to a lower proportion of endothelial nuclei being sampled.
“However, such changes were not observed in previous snRNA-seq studies (12, 13), possibly due to a lower proportion of endothelial nuclei being sampled.”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [12] Mathys H.., Single-cell transcriptomic analysis of Alzheimer’s disease. Nature 570, 332– 337 (2019). 31042697 PMC6865822 source
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- cites [13] Grubman A.., A single-cell atlas of entorhinal cortex from individuals with Alzheimer’s disease reveals cell-type-specific gene expression regulation. Nat. Neurosci. 22, 2087– 2097 (2019). 31768052 source
Not checked in the free run.
May combine two claims.
InterpretationcitationThe dysregulated pathways in neurons and oligodendrocytes are associated with synaptic signaling and myelination, respectively; these findings are similar to those in previous studies despite variations in study cohorts, brain regions, sample preparation, and sequencing protocols.
“For example, we showed that the dysregulated pathways in neurons and oligodendrocytes are associated with synaptic signaling and myelination, respectively; these findings are similar to those in previous studies despite variations in study cohorts, brain regions, sample preparation, and sequencing protocols (12, 13, 23).”
Quote in the paperNot a substantial claim0 of 3 sources checked- cites [12] Mathys H.., Single-cell transcriptomic analysis of Alzheimer’s disease. Nature 570, 332– 337 (2019). 31042697 PMC6865822 source
Not checked in the free run.
- cites [13] Grubman A.., A single-cell atlas of entorhinal cortex from individuals with Alzheimer’s disease reveals cell-type-specific gene expression regulation. Nat. Neurosci. 22, 2087– 2097 (2019). 31768052 source
Not checked in the free run.
- cites [23] Hong S.., Complement and microglia mediate early synapse loss in Alzheimer mouse models. Science 352, 712– 716 (2016). 27033548 PMC5094372 source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductcitationThe mean numbers of transcripts and genes detected per nucleus were comparable to those reported in a previous snRNA-seq study, confirming the quality of our samples prior to downstream analysis.
“In addition, these parameters were comparable to those reported in a previous snRNA-seq study (15), confirming the quality of our samples prior to downstream analysis.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [15] Habib N.., Massively parallel single-nucleus RNA-seq with DroNc-seq. Nat. Methods 14, 955– 958 (2017). 28846088 PMC5623139 source
Not checked in the free run.
Classified as probably not a substantial claim.
PremisecitationAberrant complement signaling mediates nonselective synaptic pruning via phagocytosis.
“Given that aberrant complement signaling mediates nonselective synaptic pruning via phagocytosis (23), our results suggest that the loss of this typical microglial subpopulation can contribute to the imbalanced complement signaling and synaptic pruning in AD.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [23] Hong S.., Complement and microglia mediate early synapse loss in Alzheimer mouse models. Science 352, 712– 716 (2016). 27033548 PMC5094372 source
Not checked in the free run.
May combine two claims.
InterpretationreasoningIn AD, there is a decrease in the number of mature myelinated oligodendrocytes and an increase in the number of remyelinating oligodendrocytes.
“Thus, our results show that in AD, there is a decrease in the number of mature myelinated oligodendrocytes and an increase in the number of remyelinating oligodendrocytes.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim.
PremisecitationDysregulated communication with neurons can impair synaptic plasticity.
“For astrocytes in particular, dysregulated communication with neurons can impair synaptic plasticity (31, 32).”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [31] Hillen A. E. J., Burbach J. P. H., Hol E. M., Cell adhesion and matricellular support by astrocytes of the tripartite synapse. Prog. Neurobiol. 165-167, 66– 86 (2018). 29444459 source
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- cites [32] Perea G., Navarrete M., Araque A., Tripartite synapses: Astrocytes process and control synaptic information. Trends Neurosci. 32, 421– 431 (2009). 19615761 source
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Study design and conductown dataDifferential expression analysis of the Narayanan dataset was fitted by linear regression, adjusting for age and sex.
“For differential expression analysis, we fitted the gene expression profiles by linear regression, adjusting for age and sex.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductown dataAPOE genotype was not intentionally used to include/exclude samples prior to snRNA-seq library preparation, but APOE genotypes were confirmed by TaqMan assay.
“We did not intentionally include/exclude samples according to APOE genotype prior to snRNA-seq library preparation but confirmed APOE genotypes by TaqMan assay with a probe from Thermo Scientific (assay ID: C_3084793_20 and C_904973_10) following the manufacturer’s instructions.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
PremisecitationAD is associated with viral infection.
“Interestingly, several recent studies suggest that AD is associated with viral infection (47, 48).”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [47] Eimer W. A.., Alzheimer’s disease-associated β-Amyloid is rapidly seeded by herpesviridae to protect against brain infection. Neuron 99, 56– 63.e3 (2018). 30001512 PMC6075814 source
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- cites [48] Gate D.., Clonally expanded CD8 T cells patrol the cerebrospinal fluid in Alzheimer’s disease. Nature 577, 399– 404 (2020). 31915375 PMC7445078 source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductown dataThe final filtered matrix contained 169,496 nuclei and 29,171 genes.
“The final filtered matrix contained 169,496 nuclei and 29,171 genes.”
Quote in the paperNot a substantial claimMay combine two claims.
Study design and conductown dataThe variation in the number of nuclei that passed quality control among samples was independent of age, sex, postmortem delay, and pathology, and there was no batch effect.
“During sample preparation, we targeted ∼16,000 nuclei per sample and found that while the number of nuclei that passed quality control varied among samples, the variation was independent of age, sex, postmortem delay, and pathology, and there was no batch effect (SI Appendix, Table S1).”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationAging-related myelin loss is associated with cognitive impairment in AD.
“Indeed, aging-related myelin loss is associated with cognitive impairment in AD (35).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [35] Bartzokis G., Age-related myelin breakdown: A developmental model of cognitive decline and Alzheimer’s disease. Neurobiol. Aging 25, 5– 18, author reply 49–62 (2004). 14675724 source
Not checked in the free run.
May combine two claims.
PremisecitationOnce activated CD8+ T cells have infiltrated the brain, they can release IFN-γ to stimulate excessive microglial synaptic pruning or inhibit adult neural stem cell proliferation, impairing neuronal homeostasis.
“Once activated CD8+ T cells have infiltrated the brain, they can release IFN-γ to stimulate excessive microglial synaptic pruning or inhibit adult neural stem cell proliferation (44, 49), impairing neuronal homeostasis.”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [44] Di Liberto G.., Neurons under T Cell attack coordinate phagocyte-mediated synaptic stripping. Cell 175, 458– 471.e19 (2018). 30173917 source
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- cites [49] Dulken B. W.., Single-cell analysis reveals T cell infiltration in old neurogenic niches. Nature 571, 205– 210 (2019). 31270459 PMC7111535 source
Not checked in the free run.
Classified as probably not a substantial claim.
Study design and conductcitationNuclei with ≤200 genes, ≥20,000 unique molecular identifiers, or ≥20% mitochondrial genes were filtered out to exclude potential dead cells and cell debris.
“To exclude potential dead cells and cell debris from the dataset, we filtered out nuclei with ≤200 genes, ≥20,000 unique molecular identifiers, or ≥20% mitochondrial genes as described in several previous snRNA-seq studies (12, 13, 22, 53).”
Quote in the paperSubstantial claim0 of 3 sources checked- cites [12] Mathys H.., Single-cell transcriptomic analysis of Alzheimer’s disease. Nature 570, 332– 337 (2019). 31042697 PMC6865822 source
Not checked in the free run.
- cites [13] Grubman A.., A single-cell atlas of entorhinal cortex from individuals with Alzheimer’s disease reveals cell-type-specific gene expression regulation. Nat. Neurosci. 22, 2087– 2097 (2019). 31768052 source
Not checked in the free run.
- cites [22] Jäkel S.., Altered human oligodendrocyte heterogeneity in multiple sclerosis. Nature 566, 543– 547 (2019). 30747918 PMC6544546 source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductown dataData validation was performed by obtaining datasets from published studies and comparing them with our findings.
“For data validation, we obtained datasets from published studies and compared them with our findings.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim. May combine two claims.
PremisecitationUpon viral infection, endothelial MHC-I presents endogenous viral products and facilitates CD8+ T cell activation.
“Upon viral infection, endothelial MHC-I presents endogenous viral products and facilitates CD8+ T cell activation (44–46).”
Quote in the paperSubstantial claim0 of 3 sources checked- cites [44] Di Liberto G.., Neurons under T Cell attack coordinate phagocyte-mediated synaptic stripping. Cell 175, 458– 471.e19 (2018). 30173917 source
Not checked in the free run.
- cites [45] Razakandrainibe R., Pelleau S., Grau G. E., Jambou R., Antigen presentation by endothelial cells: What role in the pathophysiology of malaria? Trends Parasitol. 28, 151– 160 (2012). 22365903 source
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- cites [46] Pober J. S., Merola J., Liu R., Manes T. D., Antigen presentation by vascular cells. Front. Immunol. 8, 1907 (2017). 29312357 PMC5744398 source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductown dataSubjects were selected according to age and postmortem delay, and a balanced sex ratio was ensured.
“For snRNA-seq library preparation, we subsequently selected subjects according to age and postmortem delay and ensured a balanced sex ratio.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
InterpretationreasoningAnother possible role of this MHC-I induction is the triggering of CD8+ T cell activation and subsequent clonal expansion.
“Another possible role of this MHC-I induction is the triggering of CD8+ T cell activation and subsequent clonal expansion.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationIn animal models, demyelination can be triggered by the accumulation of amyloid-beta peptides, phosphorylated Tau, or proinflammatory cytokines.
“In animal models, demyelination can be triggered by the accumulation of amyloid-beta peptides, phosphorylated Tau, or proinflammatory cytokines (35–37).”
Quote in the paperNot a substantial claim0 of 3 sources checked- cites [35] Bartzokis G., Age-related myelin breakdown: A developmental model of cognitive decline and Alzheimer’s disease. Neurobiol. Aging 25, 5– 18, author reply 49–62 (2004). 14675724 source
Not checked in the free run.
- cites [36] Anderson J. M.., Abnormally phosphorylated tau is associated with neuronal and axonal loss in experimental autoimmune encephalomyelitis and multiple sclerosis. Brain 131, 1736– 1748 (2008). 18567922 source
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- cites [37] Stadelmann C., Wegner C., Brück W., Inflammation, demyelination, and degeneration - recent insights from MS pathology. Biochim. Biophys. Acta 1812, 275– 282 (2011). 20637864 source
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Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationTranscriptome data for mouse models of amyloid-beta deposition and Tau hyperphosphorylation were obtained from MOUSEAC.
“We obtained transcriptome data for mouse models of amyloid-beta deposition and Tau hyperphosphorylation from MOUSEAC (55).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [55] Matarin M.., A genome-wide gene-expression analysis and database in transgenic mice during development of amyloid or tau pathology. Cell Rep. 10, 633– 644 (2015). 25620700 source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
InterpretationreasoningThe induction of MHC-I in endothelial cells in AD might reflect response to viral infection.
“Therefore, the induction of MHC-I in endothelial cells in AD might reflect response to viral infection.”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationIncreased clonal expansion and CD8+ T cell infiltration in the brain are observed both in AD patients and during aging.
“Indeed, increased clonal expansion and CD8+ T cell infiltration in the brain are observed both in AD patients and during aging (48, 49).”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [48] Gate D.., Clonally expanded CD8 T cells patrol the cerebrospinal fluid in Alzheimer’s disease. Nature 577, 399– 404 (2020). 31915375 PMC7445078 source
Not checked in the free run.
- cites [49] Dulken B. W.., Single-cell analysis reveals T cell infiltration in old neurogenic niches. Nature 571, 205– 210 (2019). 31270459 PMC7111535 source
Not checked in the free run.
Classified as probably not a substantial claim.
Study design and conductnone givenSubjects with other neurodegenerative diseases, vascular diseases, intoxicated state, infection, prions, inflammatory diseases, structural brain disorders, metabolic/nutritional diseases, trauma, delirium, genetic disorders, or other systemic diseases were excluded from initial sample selection.
“For initial sample selection from the SWDBB, we excluded subjects with other neurodegenerative diseases, vascular diseases, an intoxicated state, infection, prions, inflammatory diseases, structural brain disorders, metabolic/nutritional diseases, trauma, delirium, genetic disorders (e.g., Down syndrome), or other systemic diseases (SI Appendix, Table S1).”
Quote in the paperSubstantial claimMay combine two claims.
PremisecitationBoth patients with AD and AD animal models exhibit neurovascular system impairment including abnormalities in the number, diameter, and density of blood vessels, which lead to decreased brain perfusion and blood-brain barrier disruption.
“Both patients with AD and AD animal models exhibit neurovascular system impairment including abnormalities in the number, diameter, and density of blood vessels, which lead to decreased brain perfusion and blood–brain barrier disruption (10, 39, 40).”
Quote in the paperSubstantial claim0 of 3 sources checked- cites [10] Zlokovic B. V., Neurovascular pathways to neurodegeneration in Alzheimer’s disease and other disorders. Nat. Rev. Neurosci. 12, 723– 738 (2011). 22048062 PMC4036520 source
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- cites [39] Sweeney M. D., Sagare A. P., Zlokovic B. V., Blood-brain barrier breakdown in Alzheimer disease and other neurodegenerative disorders. Nat. Rev. Neurol. 14, 133– 150 (2018). 29377008 PMC5829048 source
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- cites [40] Bennett R. E.., Tau induces blood vessel abnormalities and angiogenesis-related gene expression in P301L transgenic mice and human Alzheimer’s disease. Proc. Natl. Acad. Sci. U.S.A. 115, E1289– E1298 (2018). 29358399 PMC5819390 source
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Study design and conductcitationComparison with Jäkel et al. confirmed the expression patterns of cell-type markers in the different cell types in our study.
“To further confirm the cell-type specificity of these markers, we compared our data with those of Jäkel et al. (22), which confirmed the expression patterns of these markers in the different cell types in our study.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [22] Jäkel S.., Altered human oligodendrocyte heterogeneity in multiple sclerosis. Nature 566, 543– 547 (2019). 30747918 PMC6544546 source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationProper remyelination can restore the impaired saltatory conduction in neurons.
“While proper remyelination can restore the impaired saltatory conduction in neurons (38), it remains unclear why remyelinating oligodendrocytes fail to overcome the demyelination observed in AD.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [38] Franklin R. J. M., Ffrench-Constant C., Remyelination in the CNS: From biology to therapy. Nat. Rev. Neurosci. 9, 839– 855 (2008). 18931697 source
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Classified as probably not a substantial claim.
Study design and conductcitationAD diagnosis was based on DSM-5 criteria.
“The clinical diagnosis of AD was based on the Diagnostic and Statistical Manual of Mental Disorders-5 criteria for AD (SI Appendix, Table S1).”
Quote in the paperSubstantial claimClassified as probably not a substantial claim.
Study design and conductnone givenSamples were categorized according to Braak stage (AD: ≥4, NC: ≤2).
“We categorized samples according to Braak stage (i.e., AD: ≥4 and NC: ≤2).”
Quote in the paperSubstantial claimClassified as probably not a substantial claim. May combine two claims.
PremisecitationMHC-I mostly presents endogenous proteins that originate in the cytoplasm, making it essential in the response to viral infection.
“MHC-I mostly presents endogenous proteins that originate in the cytoplasm, making it essential in the response to viral infection (43).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [43] Neefjes J., Jongsma M. L. M., Paul P., Bakke O., Towards a systems understanding of MHC class I and MHC class II antigen presentation. Nat. Rev. Immunol. 11, 823– 836 (2011). 22076556 source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductown dataThe study included 21 subjects (mean age: AD, 74.6 y; NC, 85.4 y) including 8 males and 4 females with AD as well as 6 male and 3 female NC subjects.
“Thus, we included 21 subjects (mean age: AD, 74.6 y; NC, 85.4 y) including 8 males and 4 females with AD as well as 6 male and 3 female NC subjects.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenThe same pipeline was used to process the microarray dataset of AD temporal cortical samples from Webster et al. (GEO GSE15222).
“We also used the same pipeline to process the microarray dataset of AD temporal cortical samples from Webster et al. (GEO accession no. GSE15222) (19).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [19] Webster J. A..; NACC-Neuropathology Group, Genetic control of human brain transcript expression in Alzheimer disease. Am. J. Hum. Genet. 84, 445– 458 (2009). 19361613 PMC2667989 source
Not checked in the free run.
Classified as probably not a substantial claim.
Study design and conductnone givenA subpopulation with an enrichment score > 0.5 was designated as an AD-associated subpopulation.
“A subpopulation with an enrichment score > 0.5 was designated as an AD-associated subpopulation.”
Quote in the paperSubstantial claim
The paper relies on this without support.
Endothelial cells are the primary component of the neurovascular system, which maintains blood–brain barrier integrity.
“Endothelial cells are the primary component of the neurovascular system, which maintains blood–brain barrier integrity.”
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The snRNA-seq dataset contains over 100,000 astrocyte nuclei in each brain region with ≈6,000 average total reads and ≈2,500 average total genes detected, which is orders of magnitude higher than previous studies.
“resulting in over 100,000 astrocyte nuclei in each brain region with ≈6,000 average total number of reads and ≈2,500 average total number of genes detected, which is orders of magnitude higher than previous studies9–15”
From Astrocyte transcriptomic changes along the spatiotemporal progression of Alzheimer’s disease (2024) · cites this paper as [13]
In Results, “Single-Nucleus Transcriptome Profiling of the Prefrontal Cortex in AD” (page unavailable), the paper reports 169,496 nuclei in total from prefrontal cortex samples, with astrocytes comprising 11.9% of those nuclei—not over 100,000 astrocyte nuclei in each brain region. It also says the mean numbers of transcripts and genes detected per nucleus were comparable to a previous study, contrary to the claimed orders-of-magnitude increase. The quoted averages of approximately 6,000 reads and 2,500 genes are not established by these passages. (LLM, conf=0.90)
Checked by a reasoning model — may be wrong.
Experimental — accuracy not yet measuredThe exhausted phase may have confounded previous studies that compared only control and severe AD donors or grouped late- and end-stage donors (Braak stage V/VI) together.
“may have confounded previous studies that compared only control and severe AD donors or grouped late- and end-stage donors (Braak stage V/VI) together9–15”
From Astrocyte transcriptomic changes along the spatiotemporal progression of Alzheimer’s disease (2024) · cites this paper as [13]
The Methods (Selection Criteria for Brain Tissue Collection; page unavailable) classify donors as AD at Braak stage ≥4 or controls at ≤2, and the snRNA-seq Analysis Methods compare those two groups. This supports the claim that the study grouped AD stages for comparison with controls, but the copy does not identify a distinct V/VI grouping or say that an exhausted phase confounded the results. (LLM, conf=0.82)
Experimental — accuracy not yet measuredTranscriptomic analysis suggested that several subpopulations of endothelial cells in AD are associated with immune response characterized by increased expression of antigen presentation genes, especially MHC-I machinery.
“Transcriptomic analysis suggested that several subpopulations of endothelial cells in AD are associated with immune response which was characterized by increased expression of genes associated with antigen presentation—especially major histocompatibility complex class I (MHC-I) machinery.473”
From Role of neuroinflammation in neurodegeneration development (2023) · cites this paper as [473]
Previous studies described AD-associated molecular and cellular changes; however, cross-study comparisons are challenging without common cell annotations.
“Previous studies described AD-associated molecular and cellular changes5–15; however, cross-study comparisons are challenging without common cell annotations.”
From Integrated multimodal cell atlas of Alzheimer’s disease (2024) · cites this paper as [6]
The study harmonized snRNA-seq data and associated donor metadata from the PFC from ten additional AD studies spanning 707 donors.
“To corroborate the results, we harmonized snRNA-seq data and associated donor metadata from the PFC from ten additional AD studies spanning 707 donors5–14.”
From Integrated multimodal cell atlas of Alzheimer’s disease (2024) · cites this paper as [6]
Our sample sizes are similar to those reported in previous publications.
“but our sample sizes are similar to those reported in previous publications5–14”
From Integrated multimodal cell atlas of Alzheimer’s disease (2024) · cites this paper as [6]
The study's sample sizes are similar to those reported in previous publications.
“our sample sizes are similar to those reported in previous publications9–17”
From Astrocyte transcriptomic changes along the spatiotemporal progression of Alzheimer’s disease (2024) · cites this paper as [13]
No statistical methods were used to pre-determine sample sizes, but our sample sizes are similar to those reported in previous publications.
“No statistical methods were used to pre-determine sample sizes, but our sample sizes are similar to those reported in previous publications.18,19”
From Single nucleus multiomics identifies ZEB1 and MAFB as candidate regulators of Alzheimer’s disease-specific cis-regulatory elements (2023) · cites this paper as [18]
AD DEGs were consistent with published results both for region-specific DEGs and for DEGs computed jointly over all regions for multiple AD variables, and were further corroborated by comparisons with various independent studies.
“AD DEGs were consistent with published results both for region-specific DEGs and for DEGs computed jointly over all regions for multiple AD variables, and were further corroborated by comparisons with various independent studies11,12,15,19,47–53”
From Single-cell multiregion dissection of Alzheimer’s disease (2024) · cites this paper as [47]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
Each contradiction between two passages listed here was confirmed by an independent check.
Total DEG count treats shared genes as distinct
MinorThe six cell-type DEG counts add to exactly 2,190, but 11 genes are reported as differentially expressed in all six cell types. Counting those shared genes once would make the number of distinct DEGs at least 55 lower than 2,190.
“We identified the following 2,190 differentially expressed genes (DEGs) between the AD and NC brain samples: 551 in astrocytes, 299 in endothelial cells, 347 in excitatory neurons, 125 in inhibitory neurons, 340 in microglia, and 528 in oligodendrocytes (Fig. 2C and SI Appendix, Table S3).”
“Among the 2,190 DEGs, only 11 were differentially expressed in all cell types (Fig. 2D)”
Cites
limma powers differential expression analyses for RNA-sequencing and microarray studies
Ritchie, M. E., Phipson, B., Wu, D., Hu, Y., Law, C. W., Shi, W., & Smyth, G. K. (2015) · Nucleic Acids Research · doi:10.1093/nar/gkv007 · Cited by 40,458 · see citing works
Integrating single-cell transcriptomic data across different conditions, technologies, and species
Butler, A., Hoffman, P., Smibert, P., Papalexi, E., & Satija, R. (2018) · Nature Biotechnology · doi:10.1038/nbt.4096 · Cited by 13,174 · see citing works
Neurotoxic reactive astrocytes are induced by activated microglia
Liddelow, S. A., Guttenplan, K. A., Clarke, L. E., Bennett, F. C., Bohlen, C. J., Schirmer, L., Bennett, M. L., Münch, A. E., Chung, W.-S., Peterson, T. C., et al. (2017) · Nature · doi:10.1038/nature21029 · Cited by 7,971 · cited 1× · see citing works
“S7 and Table S5. mechanisms that lead to synaptic impairment in AD, including the accumulation of soluble amyloid-beta, Tau hyperphosphorylation, loss of VGF signaling, and glial state dysregulation (e.g., the induction of disease-associated microglia and disease-associated astrocytes) (9, 23 – 30).”
Massively parallel digital transcriptional profiling of single cells
Zheng, G. X. Y., Terry, J. M., Belgrader, P., Ryvkin, P., Bent, Z. W., Wilson, R., Ziraldo, S. B., Wheeler, T. D., McDermott, G. P., Zhu, J., et al. (2017) · Nature Communications · doi:10.1038/ncomms14049 · Cited by 7,353 · see citing works
A Unique Microglia Type Associated with Restricting Development of Alzheimer’s Disease
Keren-Shaul, H., Spinrad, A., Weiner, A., Matcovitch-Natan, O., Dvir-Szternfeld, R., Ulland, T. K., David, E., Baruch, K., Lara-Astaiso, D., Toth, B., et al. (2017) · Cell · doi:10.1016/j.cell.2017.05.018 · Cited by 5,493 · see citing works
Complement and microglia mediate early synapse loss in Alzheimer mouse models
Hong, S., Beja-Glasser, V. F., Nfonoyim, B. M., Frouin, A., Li, S., Ramakrishnan, S., Merry, K. M., Shi, Q., Rosenthal, A., Barres, B. A., et al. (2016) · Science · doi:10.1126/science.aad8373 · Cited by 3,343 · cited 2× · see citing works
“For example, we showed that the dysregulated pathways in neurons and oligodendrocytes are associated with synaptic signaling and myelination, respectively; these findings are similar to those in previous studies despite variations in study cohorts, brain regions, sample preparation, and sequencing protocols (12, 13, 2…”
Blood–brain barrier breakdown in Alzheimer disease and other neurodegenerative disorders
Sweeney, M. D., Sagare, A. P., & Zlokovic, B. V. (2018) · Nature Reviews Neurology · doi:10.1038/nrneurol.2017.188 · Cited by 3,076 · see citing works
Neurovascular pathways to neurodegeneration in Alzheimer’s disease and other disorders
Zlokovic, B. V. (2011) · Nature Reviews Neuroscience · doi:10.1038/nrn3114 · Cited by 2,969 · see citing works
Microglia promote learning-dependent synapse formation through brain-derived neurotrophic factor
Parkhurst, C. N., Yang, G., Ninan, I., Savas, J. N., Yates, J. R., Lafaille, J. J., Hempstead, B. L., Littman, D. R., & Gan, W.-B. (2013) · Cell · doi:10.1016/j.cell.2013.11.030 · Cited by 2,599 · see citing works
Single-cell transcriptomic analysis of Alzheimer’s disease
Mathys, H., Davila-Velderrain, J., Peng, Z., Gao, F., Mohammadi, S., Young, J. Z., Menon, M., He, L., Abdurrob, F., Jiang, X., et al. (2019) · Nature · doi:10.1038/s41586-019-1195-2 · Cited by 2,568 · see citing works
Identification of a unique TGF-β–dependent molecular and functional signature in microglia
Butovsky, O., Jedrychowski, M. P., Moore, C. S., Cialic, R., Lanser, A. J., Gabriely, G., Koeglsperger, T., Dake, B., Wu, P. M., Doykan, C. E., et al. (2014) · Nature Neuroscience · doi:10.1038/nn.3599 · Cited by 2,543 · see citing works
Towards a systems understanding of MHC class I and MHC class II antigen presentation
Neefjes, J., Jongsma, M. L. M., Paul, P., & Bakke, O. (2011) · Nature Reviews Immunology · doi:10.1038/nri3084 · Cited by 2,044 · see citing works
Tripartite synapses: astrocytes process and control synaptic information
Perea, G., Navarrete, M., & Araque, A. (2009) · Trends in Neurosciences · doi:10.1016/j.tins.2009.05.001 · Cited by 1,820 · see citing works
Thrombospondins are astrocyte-secreted proteins that promote CNS synaptogenesis
Christopherson, K. S., Ullian, E. M., Stokes, C. C. A., Mullowney, C. E., Hell, J. W., Agah, A., Lawler, J., Mosher, D. F., Bornstein, P., & Barres, B. A. (2005) · Cell · doi:10.1016/j.cell.2004.12.020 · Cited by 1,688 · see citing works
Epidemiology of Alzheimer disease
Reitz, C., Brayne, C., & Mayeux, R. (2011) · Nature Reviews Neurology · doi:10.1038/nrneurol.2011.2 · Cited by 1,675 · see citing works
Establishment and Dysfunction of the Blood-Brain Barrier
Zhao, Z., Nelson, A. R., Betsholtz, C., & Zlokovic, B. V. (2015) · Cell · doi:10.1016/j.cell.2015.10.067 · Cited by 1,670 · see citing works
Regulation of NMDA receptor trafficking by amyloid-β
Snyder, E. M., Nong, Y., Almeida, C. G., Paul, S., Moran, T., Choi, E. Y., Nairn, A. C., Salter, M. W., Lombroso, P. J., Gouras, G. K., et al. (2005) · Nature Neuroscience · doi:10.1038/nn1503 · Cited by 1,561 · cited 1× · see citing works
“…for AD, which is in part because of the incomplete understanding of the molecular basis of cell type-specific responses during AD pathogenesis, including impaired synaptic functions (3 – 6), the loss of blood – brain barrier protection, and the loss of neurotrophic support (7 – 11), respectively.”
Remyelination in the CNS: from biology to therapy
Franklin, R. J. M., & ffrench-Constant, C. (2008) · Nature Reviews Neuroscience · doi:10.1038/nrn2480 · Cited by 1,544 · see citing works
Oligodendrocyte heterogeneity in the mouse juvenile and adult central nervous system
Marques, S., Zeisel, A., Codeluppi, S., van Bruggen, D., Mendanha Falcão, A., Xiao, L., Li, H., Häring, M., Hochgerner, H., Romanov, R. A., et al. (2016) · Science · doi:10.1126/science.aaf6463 · Cited by 1,246 · cited 5× · see citing works
“Along the oligodendroglial lineage, myelinated mature oligodendrocytes exhibit enriched expression of MAG, MOBP, and OPALIN (21).”
InfluentialZhou, Y., Song, W. M., Andhey, P. S., Swain, A., Levy, T., Miller, K. R., Poliani, P. L., Cominelli, M., Grover, S., Gilfillan, S., et al. (2020) · Nature Medicine · doi:10.1038/s41591-019-0695-9 · Cited by 1,150 · see citing works
Massively parallel single-nucleus RNA-seq with DroNc-seq
Habib, N., Avraham-Davidi, I., Basu, A., Burks, T., Shekhar, K., Hofree, M., Choudhury, S. R., Aguet, F., Gelfand, E., Ardlie, K., et al. (2017) · Nature Methods · doi:10.1038/nmeth.4407 · Cited by 1,069 · see citing works
Hippocampal synaptic loss in early Alzheimer's disease and mild cognitive impairment
Scheff, S. W., Price, D. A., Schmitt, F. A., & Mufson, E. J. (2006) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2005.09.012 · Cited by 1,017 · see citing works
Disease-associated astrocytes in Alzheimer’s disease and aging
Habib, N., McCabe, C., Medina, S., Varshavsky, M., Kitsberg, D., Dvir-Szternfeld, R., Green, G., Dionne, D., Nguyen, L., Marshall, J. L., et al. (2020) · Nature Neuroscience · doi:10.1038/s41593-020-0624-8 · Cited by 1,009 · see citing works
Clonally expanded CD8 T cells patrol the cerebrospinal fluid in Alzheimer’s disease
Gate, D., Saligrama, N., Leventhal, O., Yang, A. C., Unger, M. S., Middeldorp, J., Chen, K., Lehallier, B., Channappa, D., De Los Santos, M. B., et al. (2020) · Nature · doi:10.1038/s41586-019-1895-7 · Cited by 992 · see citing works
Age-related myelin breakdown: a developmental model of cognitive decline and Alzheimer’s disease
Bartzokis, G. (2004) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2003.03.001 · Cited by 968 · see citing works
Grubman, A., Chew, G., Ouyang, J. F., Sun, G., Choo, X. Y., McLean, C., Simmons, R. K., Buckberry, S., Vargas-Landin, D. B., Poppe, D., et al. (2019) · Nature Neuroscience · doi:10.1038/s41593-019-0539-4 · Cited by 956 · see citing works
Glutamate-mediated excitotoxicity and neurodegeneration in Alzheimer?s disease
HYND, M. (2004) · Neurochemistry International · doi:10.1016/j.neuint.2004.03.007 · Cited by 938 · see citing works
Altered human oligodendrocyte heterogeneity in multiple sclerosis
Jäkel, S., Agirre, E., Mendanha Falcão, A., van Bruggen, D., Lee, K. W., Knuesel, I., Malhotra, D., ffrench-Constant, C., Williams, A., & Castelo-Branco, G. (2019) · Nature · doi:10.1038/s41586-019-0903-2 · Cited by 854 · see citing works
Synaptic Neurexin Complexes: A Molecular Code for the Logic of Neural Circuits
Südhof, T. C. (2017) · Cell · doi:10.1016/j.cell.2017.10.024 · Cited by 810 · see citing works
HMGB1: A multifunctional alarmin driving autoimmune and inflammatory disease
Harris, H. E., Andersson, U., & Pisetsky, D. S. (2012) · Nature Reviews Rheumatology · doi:10.1038/nrrheum.2011.222 · Cited by 689 · see citing works
Eimer, W. A., Vijaya Kumar, D. K., Navalpur Shanmugam, N. K., Rodriguez, A. S., Mitchell, T., Washicosky, K. J., György, B., Breakefield, X. O., Tanzi, R. E., & Moir, R. D. (2018) · Neuron · doi:10.1016/j.neuron.2018.06.030 · Cited by 674 · see citing works
Neuronal Death in the Hippocampus Is Promoted by Plasmin-Catalyzed Degradation of Laminin
Chen, Z.-L., & Strickland, S. (1997) · Cell · doi:10.1016/s0092-8674(00)80483-3 · Cited by 632 · see citing works
Single-cell analysis reveals T cell infiltration in old neurogenic niches
Dulken, B. W., Buckley, M. T., Navarro Negredo, P., Saligrama, N., Cayrol, R., Leeman, D. S., George, B. M., Boutet, S. C., Hebestreit, K., Pluvinage, J. V., et al. (2019) · Nature · doi:10.1038/s41586-019-1362-5 · Cited by 521 · see citing works
Astrocytic neuroligins control astrocyte morphogenesis and synaptogenesis
Stogsdill, J. A., Ramirez, J., Liu, D., Kim, Y. H., Baldwin, K. T., Enustun, E., Ejikeme, T., Ji, R.-R., & Eroglu, C. (2017) · Nature · doi:10.1038/nature24638 · Cited by 506 · see citing works
Synapses and Alzheimer's Disease
Sheng, M., Sabatini, B. L., & Sudhof, T. C. (2012) · Cold Spring Harbor Perspectives in Biology · doi:10.1101/cshperspect.a005777 · Cited by 436 · see citing works
Genetic Control of Human Brain Transcript Expression in Alzheimer Disease
Webster, J. A., Gibbs, J. R., Clarke, J., Ray, M., Zhang, W., Holmans, P., Rohrer, K., Zhao, A., Marlowe, L., Kaleem, M., et al. (2009) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2009.03.011 · Cited by 304 · see citing works
Bennett, R. E., Robbins, A. B., Hu, M., Cao, X., Betensky, R. A., Clark, T., Das, S., & Hyman, B. T. (2018) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1710329115 · Cited by 299 · see citing works
Petr, G. T., Sun, Y., Frederick, N. M., Zhou, Y., Dhamne, S. C., Hameed, M. Q., Miranda, C., Bedoya, E. A., Fischer, K. D., Armsen, W., et al. (2015) · The Journal of Neuroscience · doi:10.1523/jneurosci.4255-14.2015 · Cited by 297 · see citing works
Matarin, M., Salih, D. A., Yasvoina, M., Cummings, D. M., Guelfi, S., Liu, W., Nahaboo Solim, M. A., Moens, T. G., Paublete, R. M., Ali, S. S., et al. (2015) · Cell Reports · doi:10.1016/j.celrep.2014.12.041 · Cited by 290 · see citing works
Inflammation, demyelination, and degeneration — Recent insights from MS pathology
Stadelmann, C., Wegner, C., & Brück, W. (2011) · Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease · doi:10.1016/j.bbadis.2010.07.007 · Cited by 276 · see citing works
Synaptic dysfunction in Alzheimer's disease: Mechanisms and therapeutic strategies
Chen, Y., Fu, A. K. Y., & Ip, N. Y. (2019) · Pharmacology & Therapeutics · doi:10.1016/j.pharmthera.2018.11.006 · Cited by 258 · see citing works
Self-citationCommon dysregulation network in the human prefrontal cortex underlies two neurodegenerative diseases
Narayanan, M., Huynh, J. L., Wang, K., Yang, X., Yoo, S., McElwee, J., Zhang, B., Zhang, C., Lamb, J. R., Xie, T., et al. (2014) · Molecular Systems Biology · doi:10.15252/msb.20145304 · Cited by 208 · see citing works
Neurons under T Cell Attack Coordinate Phagocyte-Mediated Synaptic Stripping
Di Liberto, G., Pantelyushin, S., Kreutzfeldt, M., Page, N., Musardo, S., Coras, R., Steinbach, K., Vincenti, I., Klimek, B., Lingner, T., et al. (2018) · Cell · doi:10.1016/j.cell.2018.07.049 · Cited by 195 · see citing works
Multiscale causal networks identify VGF as a key regulator of Alzheimer’s disease
Beckmann, N. D., Lin, W.-J., Wang, M., Cohain, A. T., Charney, A. W., Wang, P., Ma, W., Wang, Y.-C., Jiang, C., Audrain, M., et al. (2020) · Nature Communications · doi:10.1038/s41467-020-17405-z · Cited by 172 · see citing works
Antigen Presentation by Vascular Cells
Pober, J. S., Merola, J., Liu, R., & Manes, T. D. (2017) · Frontiers in Immunology · doi:10.3389/fimmu.2017.01907 · Cited by 165 · see citing works
Anderson, J. M., Hampton, D. W., Patani, R., Pryce, G., Crowther, R. A., Reynolds, R., Franklin, R. J. M., Giovannoni, G., Compston, D. A. S., Baker, D., et al. (2008) · Brain · doi:10.1093/brain/awn119 · Cited by 141 · see citing works
Fu, W., Wang, X., & Ip, N. Y. (2018) · ACS Chemical Neuroscience · doi:10.1021/acschemneuro.8b00402 · Cited by 136 · see citing works
Self-citationCharacterization of human mosaic Rett syndrome brain tissue by single-nucleus RNA sequencing
Renthal, W. R., Boxer, L. D., Hrvatin, S., Li, E., Silberfeld, A., Nagy, M. A., Griffith, E. C., Vierbuchen, T., & Greenberg, M. E. (2018) · Nature Neuroscience · doi:10.1038/s41593-018-0270-6 · Cited by 120 · see citing works
Regulation of astrocyte glutamine synthetase in epilepsy
Eid, T., Tu, N., Lee, T.-S. W., & Lai, J. C. K. (2013) · Neurochemistry International · doi:10.1016/j.neuint.2013.06.008 · Cited by 109 · see citing works
Cell adhesion and matricellular support by astrocytes of the tripartite synapse
Hillen, A. E. J., Burbach, J. P. H., & Hol, E. M. (2018) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2018.02.002 · Cited by 108 · see citing works
Thrombin, a mediator of neurotoxicity and memory impairment
Mhatre, M., Nguyen, A., Kashani, S., Pham, T., Adesina, A., & Grammas, P. (2004) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2003.07.007 · Cited by 105 · see citing works
El Gaamouch, F., Audrain, M., Lin, W.-J., Beckmann, N., Jiang, C., Hariharan, S., Heeger, P. S., Schadt, E. E., Gandy, S., Ehrlich, M. E., et al. (2020) · Molecular Neurodegeneration · doi:10.1186/s13024-020-0357-x · Cited by 92 · see citing works
Deciphering cellular transcriptional alterations in Alzheimer’s disease brains
Wang, X., Allen, M., Li, S., Quicksall, Z., Patel, T., Carnwath, T., Reddy, J. S., Carrasquillo, M. M., Lincoln, S., Nguyen, T., et al. (2020) · Molecular Neurodegeneration · doi:10.1186/s13024-020-00392-6 · Cited by 68 · see citing works
Microglia in Health and Disease
(2014) · doi:10.1007/978-1-4939-1429-6 · Cited by 36 · see citing works
Antigen presentation by endothelial cells: what role in the pathophysiology of malaria?
Razakandrainibe, R., Pelleau, S., Grau, G. E., & Jambou, R. (2012) · Trends in Parasitology · doi:10.1016/j.pt.2012.01.004 · Cited by 33 · see citing works
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The Amyloid-β Pathway in Alzheimer’s Disease
Hampel, H., Hardy, J., Blennow, K., Chen, C., Perry, G., Kim, S. H., Villemagne, V. L., Aisen, P., Vendruscolo, M., Iwatsubo, T., et al. (2021) · Molecular Psychiatry · doi:10.1038/s41380-021-01249-0 · Cited by 1,952 · see citing works
Role of neuroinflammation in neurodegeneration development
Zhang, W., Xiao, D., Mao, Q., & Xia, H. (2023) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-023-01486-5 · Cited by 1,668 · see citing works
“Transcriptomic analysis suggested that several subpopulations of endothelial cells in AD are associated with immune response which was characterized by increased expression of genes associated with antigen presentation—especially major histocompatibility complex class I (MHC-I) machinery.(473) These results indicate t…”
BackgroundMathys, H., Peng, Z., Boix, C. A., Victor, M. B., Leary, N., Babu, S., Abdelhady, G., Jiang, X., Ng, A. P., Ghafari, K., et al. (2023) · Cell · doi:10.1016/j.cell.2023.08.039 · Cited by 495 · see citing works
Molecular and spatial signatures of mouse brain aging at single-cell resolution
Allen, W. E., Blosser, T. R., Sullivan, Z. A., Dulac, C., & Zhuang, X. (2023) · Cell · doi:10.1016/j.cell.2022.12.010 · Cited by 423 · see citing works
Astrocyte contribution to dysfunction, risk and progression in neurodegenerative disorders
Brandebura, A. N., Paumier, A., Onur, T. S., & Allen, N. J. (2023) · Nature Reviews Neuroscience · doi:10.1038/s41583-022-00641-1 · Cited by 427 · see citing works
Sadick, J. S., O’Dea, M. R., Hasel, P., Dykstra, T., Faustin, A., & Liddelow, S. A. (2022) · Neuron · doi:10.1016/j.neuron.2022.03.008 · Cited by 415 · see citing works
Integrated multimodal cell atlas of Alzheimer’s disease
Gabitto, M. I., Travaglini, K. J., Rachleff, V. M., Kaplan, E. S., Long, B., Ariza, J., Ding, Y., Mahoney, J. T., Dee, N., Goldy, J., et al. (2024) · Nature Neuroscience · doi:10.1038/s41593-024-01774-5 · Cited by 397 · see citing works
“We also observed a late decrease in one OPC supertype (OPC_2), which is found across cortical layers 2 through 6.”
Single-cell multiregion dissection of Alzheimer’s disease
Mathys, H., Boix, C. A., Akay, L. A., Xia, Z., Davila-Velderrain, J., Ng, A. P., Jiang, X., Abdelhady, G., Galani, K., Mantero, J., et al. (2024) · Nature · doi:10.1038/s41586-024-07606-7 · Cited by 343 · see citing works
Microglia in Alzheimer's disease at single-cell level. Are there common patterns in humans and mice?
Chen, Y., & Colonna, M. (2021) · Journal of Experimental Medicine · doi:10.1084/jem.20202717 · Cited by 339 · see citing works
Disease-associated oligodendrocyte responses across neurodegenerative diseases
Pandey, S., Shen, K., Lee, S.-H., Shen, Y.-A. A., Wang, Y., Otero-García, M., Kotova, N., Vito, S. T., Laufer, B. I., Newton, D. F., et al. (2022) · Cell Reports · doi:10.1016/j.celrep.2022.111189 · Cited by 227 · see citing works
Early Alzheimer’s disease pathology in human cortex involves transient cell states
Gazestani, V., Kamath, T., Nadaf, N. M., Dougalis, A., Burris, S. J., Rooney, B., Junkkari, A., Vanderburg, C., Pelkonen, A., Gomez-Budia, M., et al. (2023) · Cell · doi:10.1016/j.cell.2023.08.005 · Cited by 209 · see citing works
Diverse human astrocyte and microglial transcriptional responses to Alzheimer’s pathology
Smith, A. M., Davey, K., Tsartsalis, S., Khozoie, C., Fancy, N., Tang, S. S., Liaptsi, E., Weinert, M., McGarry, A., Muirhead, R. C. J., et al. (2022) · Acta Neuropathologica · doi:10.1007/s00401-021-02372-6 · Cited by 209 · see citing works
“Our results describe neuroprotective gene up-regulation for proteostasis, phagocytosis, and protein clearance with amyloid-beta and pTau pathology in both astrocytes and microglia, extending similar observations reported recently [34].”
ResultA multi-pronged human microglia response to Alzheimer’s disease Aβ pathology
Mancuso, R., Fattorelli, N., Martinez-Muriana, A., Davis, E., Wolfs, L., Van Den Daele, J., Geric, I., Preman, P., Serneels, L., Poovathingal, S., et al. (2022) · doi:10.1101/2022.07.07.499139 · Cited by 169 · see citing works
Liu, C.-C., Wang, N., Chen, Y., Inoue, Y., Shue, F., Ren, Y., Wang, M., Qiao, W., Ikezu, T. C., Li, Z., et al. (2023) · Nature Immunology · doi:10.1038/s41590-023-01640-9 · Cited by 146 · see citing works
Astrocyte transcriptomic changes along the spatiotemporal progression of Alzheimer’s disease
Serrano-Pozo, A., Li, H., Li, Z., Muñoz-Castro, C., Jaisa-aad, M., Healey, M. A., Welikovitch, L. A., Jayakumar, R., Bryant, A. G., Noori, A., et al. (2024) · Nature Neuroscience · doi:10.1038/s41593-024-01791-4 · Cited by 140 · see citing works
Martins-Ferreira, R., Calafell-Segura, J., Leal, B., Rodríguez-Ubreva, J., Martínez-Saez, E., Mereu, E., Pinho E Costa, P., Laguna, A., & Ballestar, E. (2025) · Nature Communications · doi:10.1038/s41467-025-56124-1 · Cited by 123 · see citing works
The Many Faces of Astrocytes in Alzheimer's Disease
Monterey, M. D., Wei, H., Wu, X., & Wu, J. Q. (2021) · Frontiers in Neurology · doi:10.3389/fneur.2021.619626 · Cited by 117 · see citing works
Xu, J., Mao, C., Hou, Y., Luo, Y., Binder, J. L., Zhou, Y., Bekris, L. M., Shin, J., Hu, M., Wang, F., et al. (2022) · Cell Reports · doi:10.1016/j.celrep.2022.111717 · Cited by 115 · see citing works
Tsartsalis, S., Sleven, H., Fancy, N., Wessely, F., Smith, A. M., Willumsen, N., Cheung, T. K. D., Rokicki, M. J., Chau, V., Ifie, E., et al. (2024) · Nature Communications · doi:10.1038/s41467-024-46630-z · Cited by 95 · see citing works
Axonal energy metabolism, and the effects in aging and neurodegenerative diseases
Yang, S., Park, J. H., & Lu, H.-C. (2023) · Molecular Neurodegeneration · doi:10.1186/s13024-023-00634-3 · Cited by 94 · see citing works
Anderson, A. G., Rogers, B. B., Loupe, J. M., Rodriguez-Nunez, I., Roberts, S. C., White, L. M., Brazell, J. N., Bunney, W. E., Bunney, B. G., Watson, S. J., et al. (2023) · Cell Genomics · doi:10.1016/j.xgen.2023.100263 · Cited by 82 · see citing works
The VCAM1–ApoE pathway directs microglial chemotaxis and alleviates Alzheimer’s disease pathology
Lau, S.-F., Wu, W., Wong, H. Y., Ouyang, L., Qiao, Y., Xu, J., Lau, J. H.-Y., Wong, C., Jiang, Y., Holtzman, D. M., et al. (2023) · Nature Aging · doi:10.1038/s43587-023-00491-1 · Cited by 70 · see citing works
Self-citationGreen, G. S., Yang, H., Fujita, M., Taga, M., Regev, A., Menon, V., Bennett, D. A. A., Habib, N., & De Jager, P. L. (2023) · Alzheimer's & Dementia · doi:10.1002/alz.083212 · Cited by 51 · see citing works
Zhou, Y., Xu, J., Hou, Y., Bekris, L., Leverenz, J. B., Pieper, A. A., Cummings, J., & Cheng, F. (2022) · Alzheimer's & Dementia: Translational Research & Clinical Interventions · doi:10.1002/trc2.12350 · Cited by 39 · see citing works
A novel molecular class that recruits HDAC/MECP2 complexes to PU.1 motifs reduces neuroinflammation
Ralvenius, W. T., Mungenast, A. E., Woolf, H., Huston, M. M., Gillingham, T. Z., Godin, S. K., Penney, J., Cam, H. P., Gao, F., Fernandez, C. G., et al. (2023) · Journal of Experimental Medicine · doi:10.1084/jem.20222105 · Cited by 31 · see citing works
“…neuroinflammatory response to AD by analyzing published single-cell gene expression datasets of immune cells from AD patients (Grubman et al., 2019; Lau et al., 2020; Mathys et al., 2019; Morabito et al., 2021; Xu and Jia, 2021; Zhou et al., 2020b) and mouse models (Keren-Shaul et al., 2017;…”
Association of SPI1 haplotypes with altered SPI1 gene expression and Alzheimer’s disease risk
Cao, H., Initiative, A. D. N., Zhou, X., Chen, Y., Ip, F. C. F., Chen, Y., Lai, N. C. H., Lo, R. M. N., Tong, E. P. S., Mok, V. C. T., et al. (2022) · Journal of Alzheimer s Disease · doi:10.3233/jad-215311 · Cited by 28 · see citing works
“:3) affects SPI1 gene expression in specific brain cell types, we analyzed a previously reported single-nucleus RNA sequencing(snRNA-seq)datasetofthehumanfrontal cortex[41].”
Self-citationTarawneh, R. (2023) · Biomolecules · doi:10.3390/biom13050830 · Cited by 29 · see citing works
Henao‐Restrepo, J., López‐Murillo, C., Valderrama‐Carmona, P., Orozco‐Santa, N., Gomez, J., Gutiérrez‐Vargas, J., Moraga, R., Toledo, J., Littau, J. L., Härtel, S., et al. (2023) · Brain Pathology · doi:10.1111/bpa.13119 · Cited by 11 · see citing works
Distinct Cellular Phenotypes of Language and Executive Decline in Amyotrophic Lateral Sclerosis
Petrescu, J., Gouveia Roque, C., Jackson, C. A., Daly, A. C., Butti, Z., Kang, K., Casel, O., Leung, M., Reilly, L., Eschbach, J., et al. (2026) · Cell · doi:10.1016/j.cell.2026.07.008 · Cited by 4 · see citing works
- Authors
- Lau, S.-F., Cao, H., Fu, A. K. Y., & Ip, N. Y.
- Affiliations
- Hong Kong University of Science and Technology (HK)
- Corresponding author
- Ip, Nancy Y.
- Venue
- Proceedings of the National Academy of Sciences
- Publisher
- National Academy of Sciences
- Published
- 2020-09-28
- Volume
- 117
- Issue
- 41
- Pages
- 25800-25809
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- PMC
- PMC7568283
- OpenAlex
- W3087821509
- Semantic Scholar
- f58e0c665760e51542f8ab62fc65854fc60cbdbc
- Cited by
- 476
- References
- 55
- Citations by year
- 2026: 65 · 2025: 100 · 2024: 96 · 2023: 96 · 2022: 79 · 2021: 39 · 2020: 1
- FWCI
- 32.47
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Proceedings of the National Academy of Sciences (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Rare & Special e-Zone (The Hong Kong University of Science and Technology) (submittedVersion)
- Funders
- Research Grants Council, University Grants Committee (C6027-19GF, T13-607/12R, HKUST16149616, HKUST16103017, HKUST16100418, HKUST16102019)
- National Key R&D Program of China (2017YFE0190000, 2018YFE0203600)
- University Grants Committee (AoE/M-604/16)
- Innovation and Technology Commission (ITCPD/17-9)
- Guangdong Provincial Key S&T Program (2018B030336001)
- Shenzhen Knowledge Innovation Program (JCYJ20180507183642005)
- Shenzhen Knowledge Innovation Progra (JCYJ20170413173717055)
- Topics
- Health Sciences › Medicine › Physiology › Alzheimer's disease research and treatments
- Life Sciences › Neuroscience › Neurology › Neuroinflammation and Neurodegeneration Mechanisms
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Single-cell and spatial transcriptomics
- Keywords
- Alzheimer's disease, single-nucleus transcriptomics, prefrontal cortex, endothelial cells, glial cells, astrocytes, oligodendrocytes, microglia, demyelination, synaptic pruning, neurotransmitter recycling, antigen presentation, angiogenesis, neuroinflammation, therapeutic target
- MeSH terms
- Aged, Aged, 80 and over, Alzheimer Disease, Cell Nucleus, Female, Humans, Male, Neuroglia, Prefrontal Cortex, Gene Expression Profiling, Endothelial Cells, Single-Cell Analysis, Transcriptome
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