Evidence map›Paper›PMID 39760224›Full record

ReviewGlia2025

Microglial Responses to Alzheimer's Disease Pathology: Insights From "Omics" Studies.

Aquene N Reid, Suman Jayadev, Katherine E Prater

Abstract readReview
In one paragraph

Review in Glia, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
  2. Integrative multi-omics approaches identify molecular pathways and improve Alzheimer's disease risk prediction.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025
    Article
  3. Article
  4. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Aquene N ReidDepartment of Neurology, University of Washington School of Medicine, Seattle, Washington, USA.ORCID 0000-0003-2387-108X
Suman JayadevDepartment of Neurology, University of Washington School of Medicine, Seattle, Washington, USA.ORCID 0000-0003-3164-9665
Katherine E PraterDepartment of Neurology, University of Washington School of Medicine, Seattle, Washington, USA.ORCID 0000-0001-8615-207X

Funding

University of Washington Alzheimer's Disease Research CenterP30AG066509 · NIA · UNIVERSITY OF WASHINGTON · PI Amanda D. Boyd · 2020 to 2026
$29.0M
Research Education Component CoreP30AG072958 · NIA · DUKE UNIVERSITY · PI Heather E. Whitson · 2021 to 2026
$24.1M
Dissecting the role of sex-linked genes and APOE e4 risk in ADR01AG073918 · NIA · UNIVERSITY OF WASHINGTON · PI DISTECHE, CHRISTINE M., JAYADEV, SUMAN · 2021 to 2025
$5.9M
Understanding the functional impact of cumulative genetic risk in Alzheimer DiseaseRF1AG063540 · NIA · UNIVERSITY OF WASHINGTON · PI GARDEN, GWENN A, JAYADEV, SUMAN · 2019 to 2020
$4.6M
Ellison FoundationNIA NIH HHS P30 AG066509NIA NIH HHS P30 AG072958NIA NIH HHS R01 AG073918NIA NIH HHS RF1 AG063540NIH HHS P30AG066509NIH HHS R01AG073918NIH HHS RF1AG063540Warren Alpert Foundation
6 · The paper itself

Abstract

Human genetics studies lent firm evidence that microglia are key to Alzheimer's disease (AD) pathogenesis over a decade ago following the identification of AD-associated genes that are expressed in a microglia-specific manner. However, while alterations in microglial morphology and gene expression are observed in human postmortem brain tissue, the mechanisms by which microglia drive and contribute to AD pathology remain ill-defined. Numerous mouse models have been developed to facilitate the disambiguation of the biological mechanisms underlying AD, incorporating amyloidosis, phosphorylated tau, or both. Over time, the use of multiple technologies including bulk tissue and single cell transcriptomics, epigenomics, spatial transcriptomics, proteomics, lipidomics, and metabolomics have shed light on the heterogeneity of microglial phenotypes and molecular patterns altered in AD mouse models. Each of these 'omics technologies provide unique information and biological insight. Here, we review the literature on the approaches and findings of these methods and provide a synthesis of the knowledge generated by applying these technologies to mouse models of AD.

Indexed as

Alzheimer DiseaseBrainMicrogliaAnimalsDisease Models, AnimalHumansMetabolomicsMiceProteomicsAlzheimer's diseaselipidomicsmetabolomicsmicrogliamousetranscriptomics

Identifiers

PMID39760224
PMCPMC11801359

What Socratic holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.