Evidence map›Paper›PMID 41646754›Full record

ArticlemedRxiv : the preprint server for health sciences2026

Determinants of the plasma metabolome: cross-sectional and longitudinal associations over 6 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 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

5 · Who and what money

Authors and funding

10 authors.

Nic J A van der WeeORCID 0000-0003-3235-1633
Christopher R BrydgesORCID 0000-0001-5901-638X
Siamak Mahmoudian Dehkordi
Gabi Kastenmüller
Rima Kaddurah Daouk
Brenda W J H Penninx

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The plasma metabolome represents a valuable molecular readout of a person's physiological state, yet its relation to health, stress and lifestyle remains underexplored collectively. Here, we conducted an untargeted metabolomics analysis using 3804 paired samples from 1902 participants of the Netherlands Study of Depression and Anxiety at baseline and 6-year follow-up, quantifying 680 plasma metabolites. We characterised five metabolome profiles using principal component analysis, three with distinct biochemical enrichments related to transmembrane transport, sphingolipid and amino acid metabolism. Metabolite levels showed moderate intrapersonal correlation between baseline and 6-year follow-up (ICC

Identifiers

PMID41646754
PMCPMC12870665

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.