Cited by 46Alzheimer's disease research and treatmentsNeuroinflammation and Neurodegeneration MechanismsDementia and Cognitive Impairment Research

Distinct transcriptomic responses to Aβ plaques, neurofibrillary tangles, and APOE in Alzheimer's disease

Open access
Das, Sudeshna, Li, Zhaozhi, Wachter, Astrid, Alla, Srinija, Noori, Ayush, Abdourahman, Aicha, Tamm, Joseph A., Woodbury, Maya E. +5 more·2024·Alzheimer's & Dementia

Abstract

INTRODUCTION: Omics studies have revealed that various brain cell types undergo profound molecular changes in Alzheimer's disease (AD) but the spatial relationships with plaques and tangles and APOE ‐linked differences remain unclear. METHODS: We performed laser capture microdissection of amyloid beta (Aβ) plaques, the 50 μm halo around them, tangles with the 50 μm halo around them, and areas distant (> 50 μm) from plaques and tangles in the temporal cortex of AD and control donors, followed by RNA‐sequencing. RESULTS: Aβ plaques exhibited upregulated microglial (neuroinflammation/phagocytosis) and downregulated neuronal (neurotransmission/energy metabolism) genes, whereas tangles had mostly downregulated neuronal genes. Aβ plaques had more differentially expressed genes than tangles. We identified a gradient Aβ plaque > peri‐plaque > tangle > distant for these changes. AD APOE ε 4 homozygotes had greater changes than APOE ε 3 across locations, especially within Aβ plaques. DISCUSSION: Transcriptomic changes in AD consist primarily of neuroinflammation and neuronal dysfunction, are spatially associated mainly with Aβ plaques, and are exacerbated by the APOE ε 4 allele.

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 · 10.1002/alz.13387

Cites

24 of 24 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 disease-associated microglial (DAM) response is differentially regulated by the various APOE isoforms, probably through their differential binding to specific surface microglial receptors such as TREM2.

    “This so-called disease-associated microglial (DAM) response is differentially regulated by the various APOE isoforms, probably through their differential binding to specific surface microglial receptors such as TREM2 (refs. 152,153)”

    From Multifaceted roles of APOE in Alzheimer disease (2024) · cites this paper as [153]

    The Results and Discussion (page unavailable) show that APOE ε4, compared with ε3, augments plaque-associated microglial gene expression, including TREM2; the Results also find the DAM signature enriched in plaques. The paper does not establish that differential binding of APOE isoforms to TREM2 or other microglial receptors explains this effect. (LLM, conf=0.87)

    Experimental — accuracy not yet measured
  • The APOE-TREM2 axis has been found in transcriptomic post-mortem analyses of human brains, with APOEε4 carriers exhibiting a more prominent pro-inflammatory and phagocytic microglial transcriptomic signature.

    “this APOE–TREM2 axis has also been found in transcriptomic post-mortem analyses of human brains, with APOEε4 carriers exhibiting a more prominent pro-inflammatory and phagocytic microglial transcriptomic signature152,153.”

    From Multifaceted roles of APOE in Alzheimer disease (2024) · cites this paper as [153]

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

Research works printed but not linked: 48

  1. [2]Henstridge CM, Hyman BT, Spires‐Jones TL. Beyond the neuron‐cellular interactions early in Alzheimer disease pathogenesis. Nat Rev Neurosci. 2019; 20(2): 94‐ 108. doi: 10.1038/s41583-018-0113-1 30643230 PMC6545070 · DOI · Paper page
  2. [7]Serrano‐Pozo A, Betensky RA, Frosch MP, Hyman BT. Plaque‐associated local toxicity increases over the clinical course of Alzheimer disease. Am J Pathol. 2016; 186(2): 375‐ 384. doi: 10.1016/j.ajpath.2015.10.010 26687817 PMC4729270 · DOI · Paper page
  3. [10]Serrano‐Pozo A, Li Z, Noori A, et al. Effect of APOE alleles on the glial transcriptome in normal aging and Alzheimer's disease. Nat Aging. 2021; 1(10): 919‐ 931. doi: 10.1038/s43587-021-00123-6 36199750 PMC9531903 · DOI · Paper page
  4. [11]Qian J, Betensky RA, Hyman BT, Serrano‐Pozo A. Association of APOE genotype with heterogeneity of cognitive decline rate in Alzheimer disease. Neurology. 2021; 96(19): e2414‐ e2428. doi: 10.1212/WNL.0000000000011883 33771840 PMC8166439 · DOI · Paper page
  5. [12]Mathys H, Davila‐Velderrain J, Peng Z, et al. Single‐cell transcriptomic analysis of Alzheimer's disease. Nature. 2019; 570(7761): 332‐ 337. doi: 10.1038/s41586-019-1195-2 31042697 PMC6865822 · DOI · Paper page
  6. [14]Zhou Y, Song WM, Andhey PS, et al. Human and mouse single‐nucleus transcriptomics reveal TREM2‐dependent and TREM2‐independent cellular responses in Alzheimer's disease. Nat Med. 2020; 26(1): 131‐ 142. doi: 10.1038/s41591-019-0695-9 31932797 PMC6980793 · DOI · Paper page
  7. [15]Lau SF, Cao H, Fu AKY, Ip NY. Single‐nucleus transcriptome analysis reveals dysregulation of angiogenic endothelial cells and neuroprotective glia in Alzheimer's disease. Proc Natl Acad Sci U S A. 2020; 117(41): 25800‐ 25809. doi: 10.1073/pnas.2008762117 32989152 PMC7568283 · DOI · Paper page
  8. [16]Leng K, Li E, Eser R, et al. Molecular characterization of selectively vulnerable neurons in Alzheimer's disease. Nat Neurosci. 2021; 24(2): 276‐ 287. doi: 10.1038/s41593-020-00764-7 33432193 PMC7854528 · DOI · Paper page
  9. [20]Zeng H, Huang J, Zhou H, et al. Integrative in situ mapping of single‐cell transcriptional states and tissue histopathology in a mouse model of Alzheimer's disease. Nat Neurosci. 2023; 26(3): 430‐ 446. doi: 10.1038/s41593-022-01251-x 36732642 PMC11332722 · DOI · Paper page
  10. [21]Prokop S, Miller KR, Labra SR, et al. Impact of TREM2 risk variants on brain region‐specific immune activation and plaque microenvironment in Alzheimer's disease patient brain samples. Acta Neuropathol (Berl). 2019; 138(4): 613‐ 630. doi: 10.1007/s00401-019-02048-2 31350575 PMC6939638 · DOI · Paper page
  11. [22]Chen S, Chang Y, Li L, et al. Spatially resolved transcriptomics reveals genes associated with the vulnerability of middle temporal gyrus in Alzheimer's disease. Acta Neuropathol Commun. 2022; 10(1): 188. doi: 10.1186/s40478-022-01494-6 36544231 PMC9773466 · DOI
  12. [23]McKhann GM, Knopman DS, Chertkow H, et al. The diagnosis of dementia due to Alzheimer's disease: recommendations from the National Institute on Aging‐Alzheimer's Association workgroups on diagnostic guidelines for Alzheimer's disease. Alzheimers Dement J Alzheimers Assoc. 2011; 7(3): 263‐ 269. doi: 10.1016/j.jalz.2011.03.005 PMC3312024 21514250 · DOI · Paper page
  13. [27]Ewels P, Magnusson M, Lundin S, Käller M. MultiQC: summarize analysis results for multiple tools and samples in a single report. Bioinforma Oxf Engl. 2016; 32(19): 3047‐ 3048. doi: 10.1093/bioinformatics/btw354 PMC5039924 27312411 · DOI · Paper page
  14. [28]Dobin A, Davis CA, Schlesinger F, et al. STAR: ultrafast universal RNA‐seq aligner. Bioinformatics. 2013; 29(1): 15‐ 21. doi: 10.1093/bioinformatics/bts635 23104886 PMC3530905 · DOI · Paper page
  15. [29]Liao Y, Smyth GK, Shi W. featureCounts: an efficient general purpose program for assigning sequence reads to genomic features. Bioinformatics. 2014; 30(7): 923‐ 930. doi: 10.1093/bioinformatics/btt656 24227677 · DOI · Paper page
  16. [30]Robinson MD, Oshlack A. A scaling normalization method for differential expression analysis of RNA‐seq data. Genome Biol. 2010; 11(3): R25. doi: 10.1186/gb-2010-11-3-r25 20196867 PMC2864565 · DOI · Paper page
  17. [31]Law CW, Chen Y, Shi W, Smyth GK. voom: Precision weights unlock linear model analysis tools for RNA‐seq read counts. Genome Biol. 2014; 15(2): R29. doi: 10.1186/gb-2014-15-2-r29 24485249 PMC4053721 · DOI · Paper page
  18. [32]Ritchie ME, Phipson B, Wu D, et al. limma powers differential expression analyses for RNA‐sequencing and microarray studies. Nucleic Acids Res. 2015; 43(7): e47. doi: 10.1093/nar/gkv007 25605792 PMC4402510 · DOI · Paper page
  19. [33]Zhang Y, Sloan SA, Clarke LE, et al. Purification and characterization of progenitor and mature human astrocytes reveals transcriptional and functional differences with mouse. Neuron. 2016; 89(1): 37‐ 53. doi: 10.1016/j.neuron.2015.11.013 26687838 PMC4707064 · DOI · Paper page
  20. [35]Liberzon A, Subramanian A, Pinchback R, Thorvaldsdóttir H, Tamayo P, Mesirov JP. Molecular signatures database (MSigDB) 3.0. Bioinforma Oxf Engl. 2011; 27(12): 1739‐ 1740. doi: 10.1093/bioinformatics/btr260 PMC3106198 21546393 · DOI · Paper page
  21. [36]Keren‐Shaul H, Spinrad A, Weiner A, et al. A unique microglia type associated with restricting development of Alzheimer's disease. Cell. 2017; 169(7): 1276‐ 1290.e17. doi: 10.1016/j.cell.2017.05.018 28602351 · DOI · Paper page
  22. [39]Otero‐Garcia M, Xue YQ, Shakouri T, et al. Single‐soma transcriptomics of tangle‐bearing neurons in Alzheimer's disease reveals the signatures of tau‐associated synaptic dysfunction. Neuroscience; 2020. doi: 10.1101/2020.05.11.088591 · DOI
  23. [40]Noori A, Mezlini AM, Hyman BT, Serrano‐Pozo A, Das S. Systematic review and meta‐analysis of human transcriptomics reveals neuroinflammation, deficient energy metabolism, and proteostasis failure across neurodegeneration. Neurobiol Dis. 2021; 149: 105225. doi: 10.1016/j.nbd.2020.105225 33347974 PMC7856076 · DOI · Paper page
  24. [41]Noori A, Mezlini AM, Hyman BT, Serrano‐Pozo A, Das S. Differential gene expression data from the human central nervous system across Alzheimer's disease, Lewy body diseases, and the amyotrophic lateral sclerosis and frontotemporal dementia spectrum. Data Brief. 2021; 35: 106863. doi: 10.1016/j.dib.2021.106863 33665258 PMC7903289 · DOI · Paper page
  25. [42]Viejo L, Noori A, Merrill E, Das S, Hyman BT, Serrano‐Pozo A. Systematic review of human post‐mortem immunohistochemical studies and bioinformatics analyses unveil the complexity of astrocyte reaction in Alzheimer's disease. Neuropathol Appl Neurobiol. 2022; 48(1): e127. doi: 10.1111/nan.12753 PMC8766893 34297416 · DOI · Paper page
  26. [43]Das S, Li Z, Noori A, Hyman BT, Serrano‐Pozo A. Meta‐analysis of mouse transcriptomic studies supports a context‐dependent astrocyte reaction in acute CNS injury versus neurodegeneration. J Neuroinflammation. 2020; 17(1): 227. doi: 10.1186/s12974-020-01898-y 32736565 PMC7393869 · DOI · Paper page
  27. [45]Dehkordi SK, Walker J, Sah E, et al. Profiling senescent cells in human brains reveals neurons with CDKN2D/p19 and tau neuropathology. Nat Aging. 2021; 1(12): 1107‐ 1116. doi: 10.1038/s43587-021-00142-3 35531351 PMC9075501 · DOI · Paper page
  28. [46]Xu P, Wang M, Song WM, et al. The landscape of human tissue and cell type specific expression and co‐regulation of senescence genes. Mol Neurodegener. 2022; 17(1):5. doi: 10.1186/s13024-021-00507-7 PMC8744330 35000600 · DOI · Paper page
  29. [47]Lachmann A, Xu H, Krishnan J, Berger SI, Mazloom AR, Ma'ayan A. ChEA: transcription factor regulation inferred from integrating genome‐wide ChIP‐X experiments. Bioinforma Oxf Engl. 2010; 26(19): 2438‐ 2444. doi: 10.1093/bioinformatics/btq466 PMC2944209 20709693 · DOI
  30. [48]Xie Z, Bailey A, Kuleshov MV, et al. Gene set knowledge discovery with enrichr. Curr Protoc. 2021; 1(3): e90. doi: 10.1002/cpz1.90 33780170 PMC8152575 · DOI · Paper page
  31. [49]Kuleshov MV, Jones MR, Rouillard AD, et al. Enrichr: a comprehensive gene set enrichment analysis web server 2016 update. Nucleic Acids Res. 2016; 44(W1): W90‐ 97. doi: 10.1093/nar/gkw377 27141961 PMC4987924 · DOI · Paper page
  32. [50]Serrano‐Pozo A, Mielke ML, Muzitansky A, et al. Stable size distribution of amyloid plaques over the course of Alzheimer disease. J Neuropathol Exp Neurol. 2012; 71(8): 694‐ 701. doi: 10.1097/NEN.0b013e31825e77de 22805771 PMC3407299 · DOI
  33. [52]Huang KL, Marcora E, Pimenova AA, et al. A common haplotype lowers PU.1 expression in myeloid cells and delays onset of Alzheimer's disease. Nat Neurosci. 2017; 20(8): 1052‐ 1061. doi: 10.1038/nn.4587 28628103 PMC5759334 · DOI · Paper page
  34. [54]Bhardwaj R, Yester JW, Singh SK, et al. RelB/p50 complexes regulate cytokine‐induced YKL‐40 expression. J Immunol Baltim Md 1950. 2015; 194(6): 2862‐ 2870. doi: 10.4049/jimmunol.1400874 PMC4355396 25681350 · DOI
  35. [55]Urbanc B, Cruz L, Le R, et al. Neurotoxic effects of thioflavin S‐positive amyloid deposits in transgenic mice and Alzheimer's disease. Proc Natl Acad Sci U S A. 2002; 99(22): 13990‐ 13995. doi: 10.1073/pnas.222433299 12374847 PMC137824 · DOI · Paper page
  36. [56]Hong S, Quintero‐Monzon O, Ostaszewski BL, et al. Dynamic analysis of amyloid β‐protein in behaving mice reveals opposing changes in ISF versus parenchymal Aβ during age‐related plaque formation. J Neurosci Off J Soc Neurosci. 2011; 31(44): 15861‐ 15869. doi: 10.1523/JNEUROSCI.3272-11.2011 PMC3227224 22049429 · DOI · Paper page
  37. [57]Visser PJ, Reus LM, Gobom J, et al. Cerebrospinal fluid tau levels are associated with abnormal neuronal plasticity markers in Alzheimer's disease. Mol Neurodegener. 2022; 17(1): 27. doi: 10.1186/s13024-022-00521-3 35346299 PMC8962234 · DOI
  38. [58]Busser J, Geldmacher DS, Herrup K. Ectopic cell cycle proteins predict the sites of neuronal cell death in Alzheimer's disease brain. J Neurosci Off J Soc Neurosci. 1998; 18(8): 2801‐ 2807. doi: 10.1523/JNEUROSCI.18-08-02801.1998 PMC6792587 9525997 · DOI · Paper page
  39. [60]Lee H gon, Casadesus G, Nunomura A, et al. The neuronal expression of MYC causes a neurodegenerative phenotype in a novel transgenic mouse. Am J Pathol. 2009; 174(3): 891‐ 897. doi: 10.2353/ajpath.2009.080583 19164506 PMC2665749 · DOI
  40. [61]Apicco DJ, Zhang C, Maziuk B, et al. Dysregulation of RNA Splicing in Tauopathies. Cell Rep. 2019; 29(13): 4377‐ 4388.e4. doi: 10.1016/j.celrep.2019.11.093 31875547 PMC6941411 · DOI
  41. [63]Maor‐Nof M, Shipony Z, Lopez‐Gonzalez R, et al. p53 is a central regulator driving neurodegeneration caused by C9orf72 poly(PR). Cell. 2021; 184(3): 689‐ 708.e20. doi: 10.1016/j.cell.2020.12.025 33482083 PMC7886018 · DOI
  42. [64]Merlo P, Frost B, Peng S, Yang YJ, Park PJ, Feany M. p53 prevents neurodegeneration by regulating synaptic genes. Proc Natl Acad Sci U S A. 2014; 111(50): 18055‐ 18060. doi: 10.1073/pnas.1419083111 25453105 PMC4273405 · DOI
  43. [66]Shi Y, Manis M, Long J, et al. Microglia drive APOE‐dependent neurodegeneration in a tauopathy mouse model. J Exp Med. 2019; 216(11): 2546‐ 2561. doi: 10.1084/jem.20190980 31601677 PMC6829593 · DOI · Paper page
  44. [67]Gratuze M, Schlachetzki JCM, D'Oliveira Albanus R, et al. TREM2‐independent microgliosis promotes tau‐mediated neurodegeneration in the presence of ApoE4. Neuron. 2023; 111(2): 202‐ 219.e7. 10.1016/j.neuron.2022.10.022 36368315 PMC9852006 · DOI · Paper page
  45. [68]Patrick E, Taga M, Ergun A, et al. Deconvolving the contributions of cell‐type heterogeneity on cortical gene expression. PLoS Comput Biol. 2020; 16(8): e1008120. doi: 10.1371/journal.pcbi.1008120 32804935 PMC7451979 · DOI
  46. [69]Wang X, Allen M, Li S, et al. Deciphering cellular transcriptional alterations in Alzheimer's disease brains. Mol Neurodegener. 2020; 15(1): 38. doi: 10.1186/s13024-020-00392-6 32660529 PMC7359236 · DOI
  47. [70]Maynard KR, Collado‐Torres L, Weber LM, et al. Transcriptome‐scale spatial gene expression in the human dorsolateral prefrontal cortex. Nat Neurosci. 2021; 24(3): 425‐ 436. doi: 10.1038/s41593-020-00787-0 33558695 PMC8095368 · DOI · Paper page
  48. [71]Kishi JY, Liu N, West ER, et al. Light‐Seq: light‐directed in situ barcoding of biomolecules in fixed cells and tissues for spatially indexed sequencing. Nat Methods. 2022; 19(11): 1393‐ 1402. doi: 10.1038/s41592-022-01604-1 36216958 PMC9636025 · DOI

Cited by

Sorted by citations

Authors
Das, S., Li, Z., Wachter, A., Alla, S., Noori, A., Abdourahman, A., Tamm, J. A., Woodbury, M. E., Talanian, R. V., Biber, K., Karran, E. H., Hyman, B. T., & Serrano‐Pozo, A.
Affiliations
  • Harvard University (US)
  • Massachusetts General Hospital (US)
  • AbbVie (Germany) (DE)
  • AbbVie (United States) (US)
Corresponding author
Serrano‐Pozo, Alberto
Venue
Alzheimer's & Dementia
Publisher
Wiley
Published
2023-07-17
Volume
20
Issue
1
Pages
74-90
ISSN
  • 1552-5260 (ISSN-L)
  • 1552-5279
OpenAlex
W4384625954
Cited by
46
References
24
Citations by year
2026: 8 · 2025: 21 · 2024: 14 · 2023: 3
FWCI
8.17
Type
journal article
Language
en
Open access
Locations
  • Alzheimer s & Dementia (publishedVersion, cc-by-nc-nd)
  • bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, cc-by-nc-nd)
  • PubMed Central (publishedVersion, cc-by-nc-nd)
  • PubMed (publishedVersion)
  • PubMed Central (submittedVersion, cc-by-nc-nd)
Funders
Alzheimer's Association (AACF‐17‐524184, AACF‐17‐524184‐RAPID)
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, amyloid plaques

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