Evidence map›Paper›PMID 38332014›Full record

ArticleScientific reports2024

Temporal variations in the gut microbial diversity in response to high-fat diet and exercise.

Saba Imdad, Byunghun So, Junho Jang, Jinhan Park, Sam-Jun Lee, Jin-Hee Kim, Chounghun Kang

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

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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

24 citing papers in PubMed.

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  7. Foods (Basel, Switzerland) · 2026
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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

7 authors.

Saba ImdadMolecular Metabolism in Health and Disease, Exercise Physiology Laboratory, Sport Science Research Institute, Inha University, Incheon, 22212, South Korea.
Byunghun SoMolecular Metabolism in Health and Disease, Exercise Physiology Laboratory, Sport Science Research Institute, Inha University, Incheon, 22212, South Korea.
Junho JangMolecular Metabolism in Health and Disease, Exercise Physiology Laboratory, Sport Science Research Institute, Inha University, Incheon, 22212, South Korea.
Jinhan ParkMolecular Metabolism in Health and Disease, Exercise Physiology Laboratory, Sport Science Research Institute, Inha University, Incheon, 22212, South Korea.
Sam-Jun LeeDepartment of Sport Rehabilitation, College of Health, Welfare, and Education, Tong Myong University, Busan, 48520, South Korea.
Jin-Hee KimDepartment of Biomedical Laboratory Science, College of Health Science, Cheongju University, Cheongju, 28503, South Korea. jinheekim@cju.ac.kr.
Chounghun KangMolecular Metabolism in Health and Disease, Exercise Physiology Laboratory, Sport Science Research Institute, Inha University, Incheon, 22212, South Korea. ck@inha.ac.kr.

Funding

National Research Foundation of Korea 2019S1A2A2030980
6 · The paper itself

Abstract

High-fat diet-induced obesity is a pandemic caused by an inactive lifestyle and increased consumption of Western diets and is a major risk factor for diabetes and cardiovascular diseases. In contrast, exercise can positively influence gut microbial diversity and is linked to a decreased inflammatory state. To understand the gut microbial variations associated with exercise and high-fat diet over time, we conducted a longitudinal study to examine the effect of covariates on gut microbial diversity and composition. Young mice were divided into four groups: Chow-diet (CHD), high-fat diet (HFD), high-fat diet + exercise (HFX), and exercise only (EXE) and underwent experimental intervention for 12 weeks. Fecal samples at week 0 and 12 were collected for DNA extraction, followed by 16S library preparation and sequencing. Data were analyzed using QIIME 2, R and MicrobiomeAnalyst. The Bacteroidetes-to-Firmicutes ratio decreased fivefold in the HFD and HFX groups compared to that in the CHD and EXE groups and increased in the EXE group over time. Alpha diversity was significantly increased in the EXE group longitudinally (p < 0.02), whereas diversity (Shannon, Faith's PD, and Fisher) and richness (ACE) was significantly reduced in the HFD (p < 0.005) and HFX (p < 0.03) groups over time. Beta diversity, based on the Jaccard, Bray-Curtis, and unweighted UniFrac distance metrics, was significant among the groups. Prevotella, Paraprevotella, Candidatus arthromitus, Lactobacillus salivarius, L. reuteri, Roseburia, Bacteroides uniformis, Sutterella, and Corynebacterium were differentially abundant in the chow-diet groups (CHD and EXE). Exercise significantly reduced the proportion of taxa characteristic of a high-fat diet, including Butyricimonas, Ruminococcus gnavus, and Mucispirillum schaedleri. Diet, age, and exercise significantly contributed to explaining the bacterial community structure and diversity in the gut microbiota. Modulating the gut microbiota and maintaining its stability can lead to targeted microbiome therapies to manage chronic and recurrent diseases and infections.

Indexed as

Diet, High-FatGastrointestinal MicrobiomeAnimalsBacteroidetesLongitudinal StudiesMiceMice, Inbred C57BLObesity

Identifiers

PMID38332014
PMCPMC10853223

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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.