Evidence map›Paper›PMID 41040165›Full record

ArticlebioRxiv : the preprint server for biology2025

Integrative analysis reveals generalizable human neurodegenerative disease-associated glial states.

Liam Horan-Portelance, Dominic J Acri, Alexandra Mann, Janet Brooks, Hannah M Bailey, J Raphael Gibbs, Alex R DeCasien, Mark R Cookson

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Liam Horan-PortelanceCell Biology and Gene Expression Section, Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health.ORCID 0000-0002-7237-7574
Dominic J AcriCell Biology and Gene Expression Section, Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health.ORCID 0000-0003-1942-0892
Alexandra MannCell Biology and Gene Expression Section, Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health.ORCID 0009-0006-9437-1612
Janet BrooksCell Biology and Gene Expression Section, Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health.ORCID 0009-0004-4762-132X
Hannah M BaileyCell Biology and Gene Expression Section, Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health.ORCID 0000-0001-9935-6020
J Raphael GibbsComputational Biology Group, Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health.ORCID 0000-0002-6985-0658
Alex R DeCasienComputational and Evolutionary Neurogenomics Unit, Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health.ORCID 0000-0002-6205-5408
Mark R CooksonCell Biology and Gene Expression Section, Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health.ORCID 0000-0002-1058-3831

Funding

DJ-1 function and oxidative stressZ01AG000953 · NIA · NATIONAL INSTITUTE ON AGING · PI COOKSON, MARK R · 2002 to 2008
$2.7M
Intramural NIH HHS Z01 AG000953
6 · The paper itself

Abstract

Disease-associated glia represent plastic transcriptional cellular states observed across neurodegenerative diseases (NDDs). In particular, microglial states have been characterized in Alzheimer's disease and mouse models of amyloidosis. Although single-cell transcriptomic technologies have increased the dimensionality of information available across cell states, few studies have systematically tested for changes in glial transcription across brain regions and disease states. Here, we report a statistical framework for glial annotation, disease association, and transcriptional profiling, which facilitate identification of generalizable glial states that are present across a spectrum of NDDs (Alzheimer's disease, Parkinson's disease, Amyotrophic Lateral Sclerosis, and Frontotemporal dementia). We identify seven astrocyte substates, 14 microglia/myeloid substates, and five oligodendrocyte substates where transcriptional variability is attributable to region, disease, or batch effects. Regional heterogeneity of astrocytes masked disease associations, even within cortical astrocytes. We found only limited oligodendrocyte transcriptional heterogeneity, resulting in few substates for further interrogation. Notably, microglia showed the strongest evidence for disease association. We show, for the first time, that this association exists across the entire NDD spectrum. Using latent factor analysis, we created a consensus human neurodegenerative disease-associated microglia (hnDAM) signature, which we experimentally validated in 11 independent sample series. We demonstrate that the hnDAM signature is a statistically testable biomarker for conserved microglial activation in NDDs by: i) comparing to murine DAM-like signatures, ii) performing transcription factor analysis, and iii) modeling transcriptional reprogramming perturbations in iPSC-derived microglia. Taken together, this work broadens our understanding of glial activation across neuropathologies and reveals hnDAM as a putative therapeutic target that can be widely generalized to patients suffering from NDDs.

Indexed as

Alzheimer’sAmyotrophic Lateral Sclerosisastrocytesdisease-associated microgliaFrontotemporal dementiaiPSC-derived microgliaNeurodegenerative diseaseoligodendrocytesParkinson’ssnRNA-seq

Identifiers

PMID41040165
PMCPMC12485690

What OpenQuestion holds

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Registered trials

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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 OpenQuestion graph.