Cited by 219Alzheimer's disease research and treatmentsNeuroinflammation and Neurodegeneration MechanismsDementia and Cognitive Impairment Research

Diverse human astrocyte and microglial transcriptional responses to Alzheimer’s pathology

Open access
Smith, Amy M., Davey, Karen, Tsartsalis, Stergios, Khozoie, Combiz, Fancy, Nurun, Tang, See Swee, Liaptsi, Eirini, Weinert, Maria +5 more·2022·Acta Neuropathologica

Published version of a preprint

Abstract

To better define roles that astrocytes and microglia play in Alzheimer’s disease (AD), we used single-nuclei RNA-sequencing to comprehensively characterise transcriptomes in astrocyte and microglia nuclei selectively enriched during isolation post-mortem from neuropathologically defined AD and control brains with a range of amyloid-beta and phospho-tau (pTau) pathology. Significant differences in glial gene expression (including AD risk genes expressed in both the astrocytes [ CLU , MEF2C , IQCK ] and microglia [ APOE , MS4A6A , PILRA ]) were correlated with tissue amyloid or pTau expression. The differentially expressed genes were distinct between with the two cell types and pathologies, although common (but cell-type specific) gene sets were enriched with both pathologies in each cell type. Astrocytes showed enrichment for proteostatic, inflammatory and metal ion homeostasis pathways. Pathways for phagocytosis, inflammation and proteostasis were enriched in microglia and perivascular macrophages with greater tissue amyloid, but IL1-related pathway enrichment was found specifically in association with pTau. We also found distinguishable sub-clusters in the astrocytes and microglia characterised by transcriptional signatures related to either homeostatic functions or disease pathology. Gene co-expression analyses revealed potential functional associations of soluble biomarkers of AD in astrocytes ( CLU ) and microglia ( GPNMB ). Our work highlights responses of both astrocytes and microglia for pathological protein clearance and inflammation, as well as glial transcriptional diversity in AD.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1007/s00401-021-02372-6

Cites

81 of 81 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

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 [15]

    The Introduction and Results (page numbers not provided) report 52,706 astrocyte nuclei in total, not over 100,000 in each brain region. The Results give averages of 8,775 UMIs and 3,166 distinct genes per astrocyte nucleus, rather than the claimed approximately 6,000 reads and 2,500 genes. (LLM, conf=0.90)

    Checked by a reasoning model — may be wrong.

    Experimental — accuracy not yet measured
  • The 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 [15]

    The Discussion (page unavailable) says categorical Braak stages do not directly reflect local tissue pathology, supporting the concern that grouping donors by stage can obscure differences. It does not identify an exhausted phase or say that such a phase may have confounded earlier control-versus-severe-AD studies or studies grouping Braak V and VI donors. (LLM, conf=0.76)

    Experimental — accuracy not yet measured
  • Independent snRNAseq data for microglia and astrocytes enriched by FACS sorting showed increased numbers of senescence genes upregulated in both microglia (YPEL3, IQGAP2, SQSTM1) and astrocytes (GLB1, SQSTM1, MRAS) with greater tissue β-amyloid densities.

    “We found increased numbers of senescence genes upregulated in both microglia (YPEL3, IQGAP2, SQSTM1) and astrocytes (GLB1, SQSTM1, MRAS) with greater levels of tissue β-amyloid densities [66] (Supplementary Fig. 7a, b, Supplementary data S7).”
  • No astroglial sub-population showed greater expression of the senescence gene set with AD.

    “Finally, we also explored senescence pathway expression in the six astroglial sub-populations that we described previously [66], but did not find that any of these sub-populations showed greater expression of the senescence gene set with AD (Fig. 6c, d, Supplementary Fig. 10c).”
  • 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”

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Smith, A. M., Davey, K., Tsartsalis, S., Khozoie, C., Fancy, N., Tang, S. S., Liaptsi, E., Weinert, M., McGarry, A., Muirhead, R. C. J., Gentleman, S., Owen, D. R., & Matthews, P. M.
Affiliations
  • Hammersmith Hospital (GB)
  • University of Geneva (CH)
Corresponding author
Matthews, Paul M.
Venue
Acta Neuropathologica
Published
2021-11-12
Volume
143
Issue
1
Pages
75-91
ISSN
  • 0001-6322 (ISSN-L)
  • 1432-0533
OpenAlex
W3214651914
Cited by
209
References
81
Citations by year
2026: 43 · 2025: 41 · 2024: 50 · 2023: 49 · 2022: 24 · 2021: 1 · 2012: 1
FWCI
21.05
Type
journal article
Language
en
Open access
Locations
  • Acta Neuropathologica (publishedVersion, cc-by)
  • bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, cc-by-nc-nd)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • Archive ouverte UNIGE (University of Geneva) (publishedVersion, other-oa)
  • Archive ouverte UNIGE (University of Geneva) (submittedVersion, cc-by)
Funders
  • National Science Foundation
  • Alzheimer's Society
  • National Institute for Health and Care Research (NIHR202376, NF-SI-0514-10022)
  • Parkinson's UK
  • Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung (191446)
  • UK Dementia Research Institute
  • Medical Research Council (MR/K501013/1, MR/N008219/1, MR/M024903/1, MR/T031891/1, MR/N026934/1, MC_PC_17114)
  • NIHR Imperial Biomedical Research Centre
Topics
  • Health Sciences › Medicine › Physiology › Alzheimer's disease research and treatments
  • Life Sciences › Neuroscience › Neurology › Neuroinflammation and Neurodegeneration Mechanisms
  • Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
Keywords
Alzheimer's disease, astrocytes, microglia, amyloid-beta, phosphorylated tau, single-nucleus RNA sequencing, postmortem brain, apolipoprotein E, clusterin, MEF2C, MS4A6A, proteostasis, inflammation, phagocytosis, metal homeostasis, perivascular macrophages, GPNMB, gene co-expression, disease biomarkers
MeSH terms
Aged, Aged, 80 and over, Alzheimer Disease, Astrocytes, Brain, Female, Humans, Male, Microglia, Transcriptome

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review