Evidence map›Paper›PMID 42492178›Full record

ArticleEBioMedicine2026

Determinants of the plasma metabolome: cross-sectional and longitudinal associations over six years in the NESDA cohort.

Dennis Klose, Yuri Milaneschi, Laura K M Han, Nic J A van der Wee, Matthias Arnold, Christopher R Brydges, Siamak Mahmoudian Dehkordi, Gabi Kastenmüller, Rima Kaddurah Daouk, Brenda W J H Penninx

Abstract read
In one paragraph

Article in EBioMedicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

5 · Who and what money

Authors and funding

10 authors.

Dennis KloseDepartment of Psychiatry, Amsterdam University Medical Center, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands; Personalized Medicine and Mental Health Programs, Amsterdam University Medical Center, Amsterdam Public Health Research Institute, Amsterdam, the Netherlands. Electronic address: d.klose@amsterdamumc.nl.
Yuri MilaneschiDepartment of Psychiatry, Amsterdam University Medical Center, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands; Personalized Medicine and Mental Health Programs, Amsterdam University Medical Center, Amsterdam Public Health Research Institute, Amsterdam, the Netherlands; Mood, Anxiety, Psychosis, Sleep & Stress Program and Complex Trait Genetics Program, Amsterdam University Medical Center, Amsterdam Neuroscience Research Institute, Amsterdam, the Netherlands.
Laura K M HanDepartment of Psychiatry, Amsterdam University Medical Center, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands; Personalized Medicine and Mental Health Programs, Amsterdam University Medical Center, Amsterdam Public Health Research Institute, Amsterdam, the Netherlands; Mood, Anxiety, Psychosis, Sleep & Stress Program and Complex Trait Genetics Program, Amsterdam University Medical Center, Amsterdam Neuroscience Research Institute, Amsterdam, the Netherlands.
Nic J A van der WeeDepartment of Psychiatry and Psychology, Leiden University Medical Center, Universiteit Leiden, Leiden, the Netherlands.
Matthias ArnoldInstitute of Computational Biology, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany; Department of Psychiatry and Behavioral Sciences, Duke University, Durham, NC, USA.
Christopher R BrydgesDepartment of Psychiatry and Behavioral Sciences, Duke University, Durham, NC, USA.
Siamak Mahmoudian DehkordiDepartment 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.
Rima Kaddurah DaoukDepartment of Psychiatry and Behavioral Sciences, Duke University, Durham, NC, USA; Duke Institute of Brain Sciences, Duke University, Durham, NC, USA; Department of Medicine, Duke University, Durham, NC, USA.
Brenda W J H PenninxDepartment of Psychiatry, Amsterdam University Medical Center, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands; Personalized Medicine and Mental Health Programs, Amsterdam University Medical Center, Amsterdam Public Health Research Institute, Amsterdam, the Netherlands; Mood, Anxiety, Psychosis, Sleep & Stress Program and Complex Trait Genetics Program, Amsterdam University Medical Center, Amsterdam Neuroscience Research Institute, 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 ROB KNIGHT, 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
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
Metabolomic Signatures Predictive of Outcomes to Treatments for Major DepressionR01MH108348 · NIMH · DUKE UNIVERSITY · PI DUNLOP, BOADIE W, KADDURAH-DAOUK, RIMA F · 2016 to 2019
$2.7M
NIA NIH HHS R01 AG046171NIA 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 AG063744NIMH NIH HHS R01 MH108348
6 · The paper itself

Abstract

backgroundThe plasma metabolome represents a valuable molecular readout of a person's physiological state, yet its relation to health, stress and lifestyle remains underexplored collectively.

methodsHere, we conducted an untargeted metabolomics analysis using 3804 paired samples from 1902 participants of the observational Netherlands Study of Depression and Anxiety at baseline and six-year follow-up, quantifying 680 plasma metabolites. We characterised five metabolome principal components, three with distinct biochemical enrichments related to transmembrane transport, sphingolipid, and amino acid metabolism.

findingsMetabolite levels showed moderate intrapersonal correlation between baseline and six-year follow-up (ICC

interpretationAltogether, our study provides hierarchical insights into the cross-sectional and longitudinal implications of health, stress, and lifestyle exposures for the plasma metabolome.

fundingGeestkracht program of the Netherlands Organisation for Health Research and Development, the Dutch Research Council and the Dutch Ministry of Education, Culture and Science, Stress in Action, Amsterdam Neuroscience, ImmunoMIND, the National Institute of Mental Health, National Institute on Ageing and the Foundation for the National Institutes of Health.

Indexed as

MetabolomeMetabolomicsAdultBiomarkersCross-Sectional StudiesFemaleHumansLife StyleLongitudinal StudiesMaleMiddle AgedNetherlandsBiomarkersEpidemiologyLifestyleLongitudinal studyMetabolomicsPlasmaStress

Identifiers

PMID42492178
PMCPMC13427574

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.