Evidence map›Paper›PMID 42177687›Full record

ArticleMetabolomics : Official journal of the Metabolomic Society2026

Comparison of fecal and plasma metabolite correlations following nutrition or exercise interventions.

Hany Ahmed, Olli Kärkkäinen, Ambrin Farizah Babu, Topi Meuronen, Ville Koistinen, Sophie Leclercq, Camille Amadieu, Quentin Leyrolle, Audrey Neyrinck, Julie Rodriguez and 8 more

Abstract readComparative Study
In one paragraph

Article in Metabolomics : Official journal of the Metabolomic Society, 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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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

18 authors.

Hany AhmedFood Sciences Unit, Department of Life Technologies, University of Turku, Turku, Finland.
Olli KärkkäinenSchool of Pharmacy, University of Eastern Finland, Kuopio, Finland.
Ambrin Farizah BabuSchool of Medicine, Institute of Public Health and Clinical Nutrition, University of Eastern Finland, Kuopio, Finland.
Topi MeuronenFood Sciences Unit, Department of Life Technologies, University of Turku, Turku, Finland.
Ville KoistinenFood Sciences Unit, Department of Life Technologies, University of Turku, Turku, Finland.
Sophie LeclercqLaboratory of Nutritional Psychiatry, Institute of Neuroscience, UCLouvain, Brussels, Belgium.
Camille AmadieuMetabolism and Nutrition Research Group, Louvain Drug Research Institute, UCLouvain, Brussels, Belgium.
Quentin LeyrolleDepartment of Medicine, Endocrinology and Clinical Nutrition, Kuopio University Hospital, North Savo Wellbeing County, Kuopio, Finland.
Audrey NeyrinckMetabolism and Nutrition Research Group, Louvain Drug Research Institute, UCLouvain, Brussels, Belgium.
Julie RodriguezMetabolism and Nutrition Research Group, Louvain Drug Research Institute, UCLouvain, Brussels, Belgium.
Susanne CsaderSchool of Medicine, Institute of Public Health and Clinical Nutrition, University of Eastern Finland, Kuopio, Finland.
Ursula SchwabSchool of Medicine, Institute of Public Health and Clinical Nutrition, University of Eastern Finland, Kuopio, Finland.
Jean-Paul ThissenPole of Endocrinology, Diabetes and Nutrition, Institut de Recherche Expérimentale et clinique, UCLouvain, Université catholique de Louvain, Brussels, Belgium.
Peter StarkelCliniques Universitaires Saint Luc, Brussels, Belgium.
Philippe De TimaryCliniques Universitaires Saint Luc, Brussels, Belgium.
Sophie LayéUniversité de Bordeaux, INRAE, Bordeaux INP, NutriNeuro, Bordeaux, France.
Nathalie DelzenneMetabolism and Nutrition Research Group, Louvain Drug Research Institute, UCLouvain, Brussels, Belgium.
Kati HanhinevaFood Sciences Unit, Department of Life Technologies, University of Turku, Turku, Finland. kati.hanhineva@utu.fi.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionMetabolites are focal players in the host-microbiota crosstalk. Fecal metabolome represents the microbial metabolic output but the links between fecal and circulating metabolites remain unresolved. Deciphering the associations between fecal and plasma metabolomes may benefit the designing of tailored gut microbiota-targeting interventions.

objectiveTo study common underlying associations between fecal and plasma metabolites after nutritional and exercise interventions.

methodsFecal and plasma samples from three separate interventions of alcohol use disorder (n = 44), obese (n = 27), or metabolic dysfunction-associated steatotic liver disease (MASLD) participants (n = 40) undergoing nutritional or exercise interventions were analyzed using a non-targeted LC-HRMS approach. Annotated features from feces and plasma were subjected to Spearman correlation analysis and fecal-plasma metabolite pairs were compared across studies in baseline, treatment or control groups. Chemical diversity was assessed by over-representation analysis and compound class prediction in the nutritional intervention trials.

resultsThe number of nominally significant (p < 0.05) metabolite pairs among the alcohol use disorder, obese and MASLD participants were 4250, 5901 and 6981, respectively. Out of the significant metabolite pairs, less than 1% were common among all studies. Assessment of chemical diversity suggested study-specific molecular fingerprints after the nutritional interventions.

conclusionWealth of study- and group-specific correlations were observed between the fecal and plasma metabolites. Lack of significant commonalities between interventions and the divergent chemical landscapes suggests large inter-individual variations in the fecal-plasma metabolite interactions. Distinctive composition of the fecal and plasma metabolomes warrants caution when inferring findings from feces to circulation and further to host health.

Indexed as

ExerciseFecesMetabolomePlasmaAlcoholismFatty LiverFemaleHumansMaleMetabolomicsObesity

Identifiers

PMID42177687
PMCPMC13199186

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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.