Evidence map›Paper›PMID 42668355›Full record

Trial reportMicrobiome2026

Baseline gut microbiome and metabolome profiles predict weight loss after a structured lifestyle intervention.

Benjamin Seethaler, Maryam Basrai, Nathalie M Delzenne, Jens Walter, Nguyen K Nguyen, Stephan C Bischoff

Abstract readClinical Trial
In one paragraph

Trial report in Microbiome, 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

6 authors.

Benjamin SeethalerInstitute of Nutritional Medicine, University of Hohenheim, Fruwirthstr. 12, Stuttgart, 70593, Germany.ORCID 0000-0003-1889-8085
Maryam BasraiInstitute of Nutritional Medicine, University of Hohenheim, Fruwirthstr. 12, Stuttgart, 70593, Germany.
Nathalie M DelzenneMetabolism and Nutrition Research Group, Louvain Drug Research Institute (LDRI), UCLouvain, Université Catholique de Louvain, Brussels, Belgium.
Jens WalterAPC Microbiome Ireland, Department of Medicine, and School of Microbiology, University College Cork, Cork, Ireland.
Nguyen K NguyenDepartment of Microbiology and Immunology, School of Biomedical Science, Faculty of Medicine and Health Sciences, McGill University, Montreal, QC, Canada. nguyenkhoibiotech@gmail.com.ORCID 0000-0001-8919-3977
Stephan C BischoffInstitute of Nutritional Medicine, University of Hohenheim, Fruwirthstr. 12, Stuttgart, 70593, Germany. bischoff.stephan@uni-hohenheim.de.ORCID 0000-0003-2614-5948

Funding

Bundesministerium für Bildung und Forschung 01EA1701
6 · The paper itself

Abstract

backgroundObesity remains a global health challenge, and responses to lifestyle-based weight-loss interventions are heterogeneous. Here, we evaluate a one-year structured lifestyle program in 50 adults with obesity (mean BMI 42 ± 7.0 kg/m

resultsFollowing the intervention, the participants exhibited marked reductions in body weight, body fat percentage, C-reactive protein, and glycated hemoglobin. Longitudinal analyses revealed that shifts in the gut microbiota composition were associated with changes in clinical and anthropometric data, as well as gut barrier function. An increased abundance of Lachnospiraceae was associated with improved gut barrier function; the relationship was mediated by fecal butyrate and propionate. Multivariate analyses revealed that serum baseline levels of diacylphosphatidylcholine C40:1 predicted postintervention BMI, indicating that this metabolite could serve as a biomarker of weight loss success. A random forest model incorporating baseline microbial and clinical features was used to predict weight loss and clinical improvements with high accuracy.

conclusionsOur findings elucidate the interplay between the gut microbiota and host metabolism during weight loss and highlight the potential utility of baseline profiling to achieve a high success rate in personalized obesity treatment. Video Abstract.

Indexed as

Gastrointestinal MicrobiomeMetabolomeObesityWeight LossAdultBody Mass IndexCaloric RestrictionEubacterialesFecesFemaleHumansLife StyleMaleMiddle AgedGut barrierMetabolomeMicrobiomeObesityWeight-loss

Identifiers

PMID42668355
PMCPMC13525661

What Socratic holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.