Evidence map›Paper›PMID 41159936›Full record

ArticleEpigenetics2025

Integrative DNA methylation and transcriptome analysis reveal cell-type specific patterns in response to elevated allostatic load.

O Emery, C Carmeli, S Gonseth-Nusslé, Rp Juster, C Kinnaer, D Nanchen, S Nusslé, S Stringhini, Jd Chamberlain

Abstract read
In one paragraph

Article in Epigenetics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

9 authors.

O EmeryDepartment of Health Promotion and Prevention (DPSP), Unisanté, University Center for Primary Care and Public Health, Lausanne, Switzerland.
C CarmeliPopulation Health Laboratory (#PopHealthLab), University of Fribourg, Fribourg, Switzerland.
S Gonseth-NussléGenknowme, Epalinges, Switzerland.
Rp JusterDepartment of Psychiatry and Addiction, University of Montreal, Montreal, Quebec, Canada.
C KinnaerGenknowme, Epalinges, Switzerland.
D NanchenDepartment of Health Promotion and Prevention (DPSP), Unisanté, University Center for Primary Care and Public Health, Lausanne, Switzerland.ORCID 0000-0002-2493-3505
S NussléGenknowme, Epalinges, Switzerland.
S StringhiniSchool of Population and Public Health and Edwin S.H. Leong Centre for Healthy Aging, Faculty of Medicine, University of British Columbia, Vancouver, Canada.ORCID 0000-0002-4387-8943
Jd ChamberlainDepartment of Health Promotion and Prevention (DPSP), Unisanté, University Center for Primary Care and Public Health, Lausanne, Switzerland.ORCID 0000-0002-9515-1076

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Allostatic load (AL) is a measure of the body's multi-systemic physiological dysregulation in response to chronic stress and life events. High AL has been associated with poor long-term health outcomes such as cardiovascular disease and mortality. DNA methylation (DNAm) is an epigenetic mechanism involving both genes and environmental factors and contributes to gene expression regulation. Hence, changes in AL can possibly be reflected in DNAm and gene expression differences and leveraging epigenetic and transcriptomic data together can help elucidate the underlying biological processes involved. To assess differential DNAm and gene expression between high and low AL in a cell-type specific manner, bulk DNAm and transcriptome signals from whole blood samples of 429 individuals from the Swiss Kidney Project On Genes in Hypertension (SKIPOGH) cohort were first deconvoluted into cell-type specific signals for six blood cell types using tensor composition analysis (TCA) and the software CIBERSORTx. For each cell type, DNAm associated with gene expression changes was then determined in high (

Indexed as

AllostasisDNA MethylationTranscriptomeCpG IslandsEpigenesis, GeneticFemaleGene Expression ProfilingHumansMaleMiddle AgedAllostatic loadepigeneticsmethylationSKIPOGHstresstranscriptomics

Identifiers

PMID41159936
PMCPMC12574575

What OpenQuestion holds

Textmetadata
LicenceCC BY
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 OpenQuestion graph.