Evidence map›Paper›PMID 42315917›Full record

ArticleMolecular psychiatry2026

Early oligodendrocyte dysfunction signature in Alzheimer's disease: Insights from DNA methylomics and transcriptomics.

Katherine Fodder, Hannah M G Smith, Umran Yaman, Ignazio S Piras, Megha Murthy, John Hardy, Tammaryn Lashley, Rohan de Silva, Dervis A Salih, Conceição Bettencourt

Abstract read
In one paragraph

Article in Molecular psychiatry, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Cross-disease genetic and epigenetic architecture of thebioRxiv : the preprint server for biology · 2026
    Article
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

10 authors.

Katherine FodderDepartment of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, London, UK.
Hannah M G SmithDepartment of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, London, UK.
Umran YamanUK Dementia Research Institute, London, UK.
Ignazio S PirasNeurogenomics Division, Translational Genomics Research Institute, Phoenix, AZ, USA.
Megha MurthyDepartment of Clinical and Movement Neurosciences, UCL Queen Square Institute of Neurology, London, UK.
John HardyDepartment of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, London, UK.
Tammaryn LashleyDepartment of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, London, UK.
Rohan de SilvaDepartment of Clinical and Movement Neurosciences, UCL Queen Square Institute of Neurology, London, UK.ORCID http://orcid.org/0000-0002-5052-5775
Dervis A SalihDepartment of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, London, UK.
Conceição BettencourtDepartment of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, London, UK. c.bettencourt@ucl.ac.uk.ORCID http://orcid.org/0000-0001-9090-7690

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Much research into the aetiology of Alzheimer's disease (AD) has focused on neuronal cell types, while studies on the contribution of glial cells, particularly oligodendrocytes (OLGs), are only starting to emerge. Altered brain DNA methylation, an epigenetic modification that provides the interplay between genetics and environmental cues to tightly regulate gene expression, is well documented in AD. Yet, cell-type-specific investigations remain limited. Here, we examine the role of DNA methylation and OLGs in AD, and how such changes may impact gene expression. We performed weighted-gene correlation network analysis (WGCNA) on multiple brain omics AD datasets across species: human DNA methylation data from 4 brain regions, human brain single-nuclei RNA sequencing data and mouse brain RNA sequencing data. We compared AD-associated network modules enriched for OLG genes across AD brain regions, as well as with other neurodegenerative disease DNA methylation datasets. We identified a DNA methylation signature associated with AD, enriched for OLGs, and preserved across brain regions representing early and late AD pathology stages. Genes within this signature showed altered expression in AD OLGs, confirming cell-type specificity and relevance to AD. This OLG signature was also preserved in transgenic mice with early Aβ pathology and in other neurodegenerative diseases without Aβ pathology. We reveal a consistent pattern of OLG dysfunction spanning early to late stages of AD, across DNA methylation and gene expression. Our findings highlight OLG-associated DNA methylation changes as important in AD pathogenesis, and possibly in other neurodegenerative diseases, opening new avenues for therapeutic development.

Indexed as

Alzheimer DiseaseOligodendrogliaAnimalsBrainDNA MethylationEpigenesis, GeneticEpigenomicsGene Expression ProfilingGene Regulatory NetworksHumansMiceMice, TransgenicNeurogliaTranscriptome

Identifiers

PMID42315917
PMCPMC13569428

What Socratic 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 Socratic graph.