Cited by 408Gut microbiota and healthAdipokines, Inflammation, and Metabolic DiseasesGastrointestinal motility and disorders

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Gut Microbiome Fermentation Determines the Efficacy of Exercise for Diabetes Prevention

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Liu, Yan, Wang, Yao, Ni, Yueqiong, Cheung, Cynthia K.Y., Lam, Karen S.L., Wang, Yu, Xia, Zhengyuan, Ye, Dewei, Guo, Jiao, Tse, Michael Andrew, Panagiotou, Gianni, Xu, Aimin·2020·Cell Metabolism

DOI 10.1016/j.cmet.2019.11.001

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Abstract

Exercise is an effective strategy for diabetes management but is limited by the phenomenon of exercise resistance (i.e., the lack of or the adverse response to exercise on metabolic health). Here, in 39 medication-naive men with prediabetes, we found that exercise-induced alterations in the gut microbiota correlated closely with improvements in glucose homeostasis and insulin sensitivity (clinicaltrials.gov entry NCT03240978). The microbiome of responders exhibited an enhanced capacity for biosynthesis of short-chain fatty acids and catabolism of branched-chain amino acids, whereas those of non-responders were characterized by increased production of metabolically detrimental compounds. Fecal microbial transplantation from responders, but not non-responders, mimicked the effects of exercise on alleviation of insulin resistance in obese mice. Furthermore, a machine-learning algorithm integrating baseline microbial signatures accurately predicted personalized glycemic response to exercise in an additional 30 subjects. These findings raise the possibility of maximizing the benefits of exercise by targeting the gut microbiota.

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Authors: Liu, Y., Wang, Y., Ni, Y., Cheung, C. K. Y., Lam, K. S. L., Wang, Y., Xia, Z., Ye, D., Guo, J., Tse, M. A., Panagiotou, G., & Xu, A.
Affiliations: University of Hong Kong (HK)
Leibniz-Institut für Naturstoff-Forschung und Infektionsbiologie e. V. - Hans-Knöll-Institut (HKI) (DE)
Guangdong Pharmaceutical University (CN)
Corresponding author: Tse, Michael Andrew
Panagiotou, Gianni
Xu, Aimin
ORCID: Liu, Yan
Wang, Yao
Ni, Yueqiong
Cheung, Cynthia K.Y.
Lam, Karen S.L.
Wang, Yu
Xia, Zhengyuan
Ye, Dewei
Guo, Jiao
Tse, Michael Andrew
Panagiotou, Gianni
Xu, Aimin
Venue: Cell Metabolism
Publisher: Elsevier BV
Published: 2020-01
Volume: 31
Issue: 1
Pages: 77-91.e5
ISSN: 1550-4131 (ISSN-L)
DOI: 10.1016/j.cmet.2019.11.001
OpenAlex: W2990997421
Cited by: 405
References: 77
Citations by year: 2026: 44 · 2025: 70 · 2024: 66 · 2023: 69 · 2022: 61 · 2021: 65 · 2020: 27
FWCI: 13.15
Type: journal article
Language: en
Open access: bronze
doi.org
Licence: www.elsevier.com/tdm/userlicense/1.0/ (tdm)
www.elsevier.com/legal/tdmrep-license (tdm)
www.elsevier.com/open-access/userlicense/1.0/ (vor, 372 d)
Locations: Cell Metabolism (publishedVersion)
PubMed (publishedVersion)
Funders: National Natural Science Foundation of China
National Basic Research Program of China
Deutsche Forschungsgemeinschaft
Topics: Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gut microbiota and health
Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Adipokines, Inflammation, and Metabolic Diseases
Health Sciences › Medicine › Gastroenterology › Gastrointestinal motility and disorders
Keywords: gut microbiota, physical activity, prediabetes, diabetes prevention, exercise resistance, insulin resistance, glucose homeostasis, short-chain fatty acids, branched-chain amino acids, fecal microbiota transplantation, machine learning, obesity, metabolic health
MeSH terms: Gastrointestinal Microbiome, Fecal Microbiota Transplantation, Machine Learning, High-Intensity Interval Training, Adult, Algorithms, Animals, Bacteria, Diet, Feces, Glucose, Humans, Insulin Resistance, Male, Mice, Inbred C57BL, Middle Aged, Prediabetic State, Mice, Metabolome

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Gut Microbiome Fermentation Determines the Efficacy of Exercise for Diabetes Prevention

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