Evidence map›Paper›PMID 41704763›Full record

ArticleiScience2026

Disrupted gut microbiome networks and unhealthy behaviors predict metabolic dysfunction in children and adolescents in the long term.

Silvia Turroni, Kathrin Günther, Federica D'Amico, Toomas Veidebaum, Yiannis Kourides, Dénes Molnár, Lauren Lissner, Ronja Foraita, Monica Barone, Carlos Mora-Martínez and 7 more

Abstract read
In one paragraph

Article in iScience, 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

17 authors.

Silvia TurroniMicrobiome Science and Biotechnology Unit, Department of Pharmacy and Biotechnology, University of Bologna, 40126 Bologna, Italy.
Kathrin GüntherLeibniz Institute for Prevention Research and Epidemiology - BIPS, 28359 Bremen, Germany.
Federica D'AmicoMicrobiome Science and Biotechnology Unit, Department of Pharmacy and Biotechnology, University of Bologna, 40126 Bologna, Italy.
Toomas VeidebaumDepartment of Chronic Diseases, National Institute for Health Development, 10617 Tallinn, Estonia.
Yiannis KouridesResearch and Education Institute of Child Health, 2051 Strovolos, Cyprus.
Dénes MolnárDepartment of Paediatrics, Clinical Center, University of Pécs, 7623 Pecs, Hungary.
Lauren LissnerSchool of Public Health and Community Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, 40530 Gothenburg, Sweden.
Ronja ForaitaLeibniz Institute for Prevention Research and Epidemiology - BIPS, 28359 Bremen, Germany.
Monica BaroneHuman Microbiomics Unit, Department of Medical and Surgical Sciences, University of Bologna, 40138 Bologna, Italy.
Carlos Mora-MartínezMicrobiome Innovation in Nutrition and Health Research Unit, Institute of Agrochemistry and Food Technology, Spanish National Research Council (IATA-CSIC), 46980 Valencia, Spain.
Yolanda SanzMicrobiome Innovation in Nutrition and Health Research Unit, Institute of Agrochemistry and Food Technology, Spanish National Research Council (IATA-CSIC), 46980 Valencia, Spain.
Arno FratermanMedizinisches Versorgungszentrum Dr. Eberhard & Partner Dortmund, Laboratoriumsmedizin Dortmund, 44137 Dortmund, Germany.
Maike WoltersLeibniz Institute for Prevention Research and Epidemiology - BIPS, 28359 Bremen, Germany.
Patrizia BrigidiHuman Microbiomics Unit, Department of Medical and Surgical Sciences, University of Bologna, 40138 Bologna, Italy.
Marco CandelaMicrobiome Science and Biotechnology Unit, Department of Pharmacy and Biotechnology, University of Bologna, 40126 Bologna, Italy.
Wolfgang AhrensLeibniz Institute for Prevention Research and Epidemiology - BIPS, 28359 Bremen, Germany.
Simone RampelliMicrobiome Science and Biotechnology Unit, Department of Pharmacy and Biotechnology, University of Bologna, 40126 Bologna, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We recently showed that the individual gut microbiome (GM) configuration in children and adolescents, together with long-term dietary habits, can predict the development of obesity. Here, we expanded our previous cohort to include 218 individuals and used 16S rRNA amplicon sequencing, shotgun metatranscriptomics, and a network approach to analyze fecal samples collected at a baseline survey and after a 4-year follow-up, investigating associations with health status, dietary intake, and other health-related behaviors. Our results showed that an unbalanced GM profile in children/adolescents, with few represented species, poor connectivity, and low transcriptional activity (especially in relation to molecular effectors that positively influence gut and immune health), combined with unhealthy behaviors (i.e., low-fiber diet and reduced physical activity), may favor the onset of obesity. This knowledge may pave the way for the development of adjunct GM-based precision intervention strategies aimed at rewiring microbial networks to promote long-term health.

Indexed as

genomicsmicrobial genomicstranscriptomics

Identifiers

PMID41704763
PMCPMC12907672

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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.