A1 Refereed original research article in a scientific journal
Comparison of fecal and plasma metabolite correlations following nutrition or exercise interventions; 
Authors: Ahmed, Hany; Kärkkäinen, Olli; Babu, Ambrin Farizah; Meuronen, Topi; Koistinen, Ville; Leclercq, Sophie; Amadieu, Camille; Leyrolle, Quentin; Neyrinck, Audrey; Rodriguez, Julie; Csader, Susanne; Schwab, Ursula; Thissen, Jean-Paul; Starkel, Peter; De Timary, Philippe; Layé, Sophie; Delzenne, Nathalie; Hanhineva, Kati
Publisher: Springer Science and Business Media LLC
Publication year: 2026
Journal: Metabolomics
Article number: 87
Volume: 22
eISSN: 1573-3890
DOI: https://doi.org/10.1007/s11306-026-02463-z
Publication's open availability at the time of reporting: Open Access
Publication channel's open availability : Open Access publication channel
Web address : https://doi.org/10.1007/s11306-026-02463-z
Self-archived copy’s web address: https://research.utu.fi/converis/portal/detail/Publication/524880668
Self-archived copy's licence: CC BY
Self-archived copy's version: Publisher`s PDF
Introduction: Metabolites 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.
Objective: To study common underlying associations between fecal and plasma metabolites after nutritional and exercise interventions.
Methods: Fecal 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.
Results: The 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.
Conclusion: Wealth 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.
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Funding information in the publication:
Open Access funding provided by University of Turku (including Turku University Central Hospital). Gut2Behave project was initiated from ERA-NET NEURON network (Joint Transnational Call 2019) and was financed by Academy of Finland, French National Research Agency (ANR-19-NEUR-0003-03) and the Fonds de la Recherche scientifique (FRS-FNRS) [PINT-MULTI R.8013.19, Belgium]. Food4Gut project was supported by the Service Public de Wallonie (SPW-EER, FOOD4GUT project, convention 1318148). BestTreat project was funded from the European Union’s Horizon 2020 research and innovation program under the Marie Skłodowska-Curie grant agreement No 813781.