Evidence map›Paper›PMID 40601060›Full record

ArticleCell regeneration (London, England)2025

Impact of exercise-induced alterations on gut microbiota diversity and composition: comparing effects of different training modalities.

Yihan Wang, Shuang Bai, Tiance Yang, Jianjun Guo, Xiaoming Zhu, Ying Dong

Abstract read
In one paragraph

Article in Cell regeneration (London, England), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
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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.

Yihan Wang *Class of Clinical Medicine, School of Basic Medical Sciences, Capital Medical University, Beijing, 100069, China.
Shuang Bai *School of Kinesiology and Health, Capital University of Physical Education and Sports, Beijing, 100191, China.
Tiance YangSchool of Kinesiology and Health, Capital University of Physical Education and Sports, Beijing, 100191, China.
Jianjun GuoSchool of Kinesiology and Health, Capital University of Physical Education and Sports, Beijing, 100191, China.
Xiaoming ZhuHeart Center & Beijing Key Laboratory of Hypertension, Beijing Chaoyang Hospital, Capital Medical University, Beijing, 100020, China. zhuxiaoming0719@yeah.net.
Ying DongHeart Center & Beijing Key Laboratory of Hypertension, Beijing Chaoyang Hospital, Capital Medical University, Beijing, 100020, China. dongying91@mail.ccmu.edu.cn.ORCID http://orcid.org/0000-0003-0251-0170

Funding

Beijing Hospitals Authority Clinical medicine Development of special funding XMLX202135Capital's Funds for Health Improvement and Research (Key Research Program) CFH 2024-1-4061National Natural Science Foundation of China 82300496
6 · The paper itself

Abstract

Exercise has been shown to influence gut microbiota composition, but the specific effects of different exercise modalities on microbial diversity remain unclear. Understanding these differences is essential for optimizing exercise programs to enhance both physical fitness and gut health. This study compared the gut microbiota profiles of participants undergoing moderate-intensity continuous training (MICT), high-intensity interval training (HIIT), and high-intensity functional training (HIFT) using 16S rRNA gene sequencing. Thirty-one previously untrained healthy university students were randomly assigned into MICT (n = 7), HIIT (n = 12) and HIFT (n = 12). The results revealed that distinct gut microbiome profiles in participants under different exercise modes. Notably, the alpha-diversity gradually increased from the MICT group to the HIFT group. In addition, there was a progressive shift towards a Faecalibacterium-dominated microbial type from HIIT to HIFT group compared to MICT group. Individuals in the HIFT group were identified to be enriched with Lactobacillus and Limosilactobacillus, along with reduced Actinomyces and Anaeromassilibacillus. Functionally, the KEGG pathway and enzyme analysis using PICRUST2 revealed that the HIFT group exhibited prominence in muscle function-related pathways and enzymes, specifically ko00280 (valine, leucine, and isoleucine degradation), as well as the enzyme EC: 3.4.11.14 (alanine aminopeptidase). In conclusion, these findings highlight how exercise modality influences gut microbial diversity, with HIFT promoting a more favorable microbial profile compared to traditional endurance training. Understanding these effects can help tailor exercise programs to improve both fitness and gut health.

Indexed as

16S rRNAGut MicrobiotaHIFTHIITMICT

Identifiers

PMID40601060
PMCPMC12222581

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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.