Evidence map›Paper›PMID 41959807›Full record

ArticlemedRxiv : the preprint server for health sciences2026

The Metabolomic Signature of Stressful Life Events.

Yumeng Tian, Ruifang Li-Gao, Tahani Alshehri, Christopher R Brydges, Matthias Arnold, Siamak Mahmoudiandehkordi, Gabi Kastenmüller, Dennis O Mook-Kanamori, Frits R Rosendaal, Erik J Giltay and 7 more

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2026. 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

17 authors.

Yumeng TianDepartment of Clinical Epidemiology, Leiden University Medical Center, Leiden, the Netherlands.
Ruifang Li-GaoDepartment of Clinical Epidemiology, Leiden University Medical Center, Leiden, the Netherlands.
Tahani AlshehriBiochemistry Department, College of Science, King Saud University, Riyadh, Saudi Arabia.
Christopher R BrydgesWest Coast Metabolomics Center, University of California, Davis, CA, United States.
Matthias ArnoldInstitute of Computational Biology, Helmholtz Zentrum München-German Research Center for Environmental Health, Neuherberg, Germany.ORCID 0000-0002-4666-0923
Siamak MahmoudiandehkordiDepartment of Psychiatry and Behavioral Sciences, Duke University, Durham, NC, USA.
Gabi KastenmüllerInstitute of Computational Biology, Helmholtz Zentrum München-German Research Center for Environmental Health, Neuherberg, Germany.
Dennis O Mook-KanamoriDepartment of Clinical Epidemiology, Leiden University Medical Center, Leiden, the Netherlands.
Frits R RosendaalDepartment of Clinical Epidemiology, Leiden University Medical Center, Leiden, the Netherlands.
Erik J GiltayDepartment of Psychiatry, Leiden University Medical Center, Leiden, the Netherlands.
Lin XuSchool of Public Health, Sun Yat-Sen University, Guangzhou, China.
Jiao WangSchool of Public Health, Sun Yat-Sen University, Guangzhou, China.
Rick JansenDepartment of Psychiatry, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.
Thomaz BastiaanssenDepartment of Psychiatry, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.
Brenda W J H PenninxDepartment of Psychiatry, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.
Rima Kaddurah-DaoukDepartment of Psychiatry and Behavioral Sciences, Duke University, Durham, NC, USA.
Yuri MilaneschiDepartment of Psychiatry, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.

Funding

Project 4 - Mechanistic studies on the role of the gut microbiome in models for Alzheimer's diseaseU19AG063744 · NIA · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI Rima F Kaddurah-Daouk · 2019 to 2026
$54.1M
Metabolomic Signatures for Disease Sub-classification and Target Prioritization in AMP-ADU01AG061359 · NIA · DUKE UNIVERSITY · PI KADDURAH-DAOUK, RIMA F, KASTENMULLER, GABI · 2018 to 2022
$10.0M
The Role of Chemical Exposures in Alzheimer's Disease (AD) and its TrajectoryU01AG088562 · NIA · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI Oliver Fiehn, LEE E. GOLDSTEIN · 2024 to 2026
$7.2M
Metabolic Signatures Underlying Vascular Risk Factors for Alzheimer-type DementiasRF1AG051550 · NIA · DUKE UNIVERSITY · PI KADDURAH-DAOUK, RIMA F, KLING, MITCHEL ALLAN · 2015 to 2016
$6.3M
Metabolic Networks and Pathways Predictive of Sex Differences in AD Risk and Responsiveness to TreatmentRF1AG059093 · NIA · DUKE UNIVERSITY · PI BRINTON, ROBERTA EILEEN, CHANG, RUI · 2018 to 2018
$5.9M
Metabolic Networks and Pathways in Alzheimer's DiseaseR01AG046171 · NIA · DUKE UNIVERSITY · PI KADDURAH-DAOUK, RIMA F · 2014 to 2017
$4.4M
TargetAD: A systems multi-omics approach to drug repositioning in Alzheimer's diseaseR01AG069901 · NIA · WEILL MEDICAL COLL OF CORNELL UNIV · PI Matthias Arnold, Jan Krumsiek · 2021 to 2026
$3.7M
Metabolic Network Analysis of Biochemical Trajectories in Alzheimer's DiseaseRF1AG057452 · NIA · DUKE UNIVERSITY · PI KADDURAH-DAOUK, RIMA F, KASTENMULLER, GABI · 2017 to 2017
$3.5M
Gut Liver Brain Biochemical Axis in Alzheimer's DiseaseRF1AG058942 · NIA · DUKE UNIVERSITY · PI KADDURAH-DAOUK, RIMA F, VAN DUIJN, CORNELIA MARJA · 2018 to 2018
$3.4M
Metabolic age to define influences of the lipidome on brain aging in Alzheimer's diseaseR01AG081322 · NIA · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI Matthias Arnold, Rima F Kaddurah-Daouk · 2023 to 2026
$2.6M
NIA NIH HHS R01 AG046171NIA NIH HHS R01 AG069901NIA NIH HHS R01 AG081322NIA NIH HHS RF1 AG051550NIA NIH HHS RF1 AG057452NIA NIH HHS RF1 AG058942NIA NIH HHS RF1 AG059093NIA NIH HHS U01 AG061359NIA NIH HHS U01 AG088562NIA NIH HHS U19 AG063744
6 · The paper itself

Abstract

Stressful life events impact individual's functionality and contribute to disease outcomes, yet the biological pathways underlying life stress remain unclear. We characterized the metabolomic profiles of stressful life events using data from 3,264 participants (5,163 observations) of the Dutch NESDA cohort. 98 metabolites were identified, with upregulated metabolites overrepresented in phosphatidylethanolamine and downregulated metabolites overrepresented in fatty acid metabolism. 92 of these metabolites were available in the Dutch NEO cohort (N=599): 11 were significantly replicated including six lipids (e.g., three bile acids (glycochenodeoxycholate 3-sulfate)), one carbohydrate, and one xenobiotic. 21 overlapping metabolites were additionally available in the Chinese GBCS cohort (N=200): 10-undecenoate (11:1n1) (fatty acid) and glycochenodeoxycholate 3-sulfate (bile acid) showed consistent associations across both Dutch and Chinese cohorts. Stressful life events are associated with metabolic dysregulation, particularly involving fatty acid and bile acid pathways, highlighting promising biological targets to reduce the impact of stress on mental and somatic health.

Indexed as

Bile acidFatty acidLipid metabolismMetabolomeMetabolomicsStressful life events

Identifiers

PMID41959807
PMCPMC13060417

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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.