Evidence map›Paper›PMID 41704904›Full record

ArticleFrontiers in nutrition2025

The associations between physical activity, microbiome and metabolic adaptation in sedentary overweight adults.

Eylam Ziv Av, Alisa Greenberg, Tzachi Knaan, Edward L Melanson, Ilan Youngster, Gal Dubnov-Raz, Elhanan Borenstein, Yftach Gepner

Abstract read
In one paragraph

Article in Frontiers in nutrition, 2025. 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

8 authors.

Eylam Ziv Av *Department of Health Promotion, Faculty of Medical & Health Sciences, and Sylvan Adams Sports Institute, School of Public Health, Tel Aviv University, Tel Aviv, Israel.
Alisa Greenberg *Department of Clinical Microbiology and Immunology, Gray Faculty of Medical & Health Sciences, Tel Aviv University, Tel Aviv, Israel.
Tzachi KnaanDepartment of Health Promotion, Faculty of Medical & Health Sciences, and Sylvan Adams Sports Institute, School of Public Health, Tel Aviv University, Tel Aviv, Israel.
Edward L MelansonDivision of Endocrinology, Metabolism and Diabetes, Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, United States.
Ilan YoungsterPediatric Division and Center for Microbiome Research, Shamir Medical Center, Be'er Ya'akov, Israel.
Gal Dubnov-RazFaculty of Medicine, National Institute for Sports Medicine, Sheba Medical Center, Tel HaShomer, Tel Aviv, Israel.
Elhanan Borenstein *Department of Clinical Microbiology and Immunology, Gray Faculty of Medical & Health Sciences, Tel Aviv University, Tel Aviv, Israel.
Yftach Gepner *Department of Health Promotion, Faculty of Medical & Health Sciences, and Sylvan Adams Sports Institute, School of Public Health, Tel Aviv University, Tel Aviv, Israel.

Funding

PILOT STUDY--SUBSTRATE METABOLISM IN EXTREMELY LOW BIRTH WEIGHT INFANTSP30DK048520 · NIDDK · UNIVERSITY OF COLORADO DENVER · PI Wendy M Kohrt · 1995 to 2026
$32.6M
NIDDK NIH HHS P30 DK048520
6 · The paper itself

Abstract

Despite well-established benefits of exercise on metabolic regulation and the gut microbiome (GM), its impact on body composition is inconsistent and often attenuated by metabolic adaptation. This compensation mechanism adjusts energy expenditure including total daily energy expenditure (TDEE) and resting metabolic rate (RMR). Intra-individual variation in exercise response remains unclear, but might be explained by the GM. In this well-controlled study, we investigated the relationship between aerobic exercise, GM composition, and metabolic adaptation in a cohort of 16 sedentary overweight adults (ages 21-45, 50% female) over a 12-week moderate-intensity intervention (65-75% HRmax; 20 kcal/kg/week). Pre- and post-intervention RMR was measured via whole-room calorimetry, TDEE by doubly labeled water, and GM composition via shotgun metagenomics. While body composition did not change at the group-level, a subset of participants ("responders") showed improved body composition and aerobic capacity. Using machine learning, we identified bacterial species, including

Indexed as

body compositiongut microbiomemetabolic adaptationobesityphysical activity

Identifiers

PMID41704904
PMCPMC12908587

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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.