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Article: Gut Microbiome Fermentation Determines the Efficacy of Exercise for Diabetes Prevention

TitleGut Microbiome Fermentation Determines the Efficacy of Exercise for Diabetes Prevention
Authors
Keywordsgut microbiota
exercise responsiveness
insulin resistance
glucose dysregulation
personalized medicine
Issue Date2020
PublisherCell Press. The Journal's web site is located at http://www.elsevier.com/locate/cellmet
Citation
Cell Metabolism, 2020, v. 31 n. 1, p. 77-91.e5 How to Cite?
AbstractExercise 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.
Persistent Identifierhttp://hdl.handle.net/10722/284920
ISSN
2019 Impact Factor: 21.567
2015 SCImago Journal Rankings: 11.842

 

DC FieldValueLanguage
dc.contributor.authorLiu, Y-
dc.contributor.authorWANG, Y-
dc.contributor.authorNI, Y-
dc.contributor.authorCheung, CKY-
dc.contributor.authorLam, KSL-
dc.contributor.authorWang, Y-
dc.contributor.authorXia, Z-
dc.contributor.authorYe, D-
dc.contributor.authorGuo, J-
dc.contributor.authorTse, MA-
dc.contributor.authorPanagiotou, G-
dc.contributor.authorXu, A-
dc.date.accessioned2020-08-07T09:04:22Z-
dc.date.available2020-08-07T09:04:22Z-
dc.date.issued2020-
dc.identifier.citationCell Metabolism, 2020, v. 31 n. 1, p. 77-91.e5-
dc.identifier.issn1550-4131-
dc.identifier.urihttp://hdl.handle.net/10722/284920-
dc.description.abstractExercise 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.-
dc.languageeng-
dc.publisherCell Press. The Journal's web site is located at http://www.elsevier.com/locate/cellmet-
dc.relation.ispartofCell Metabolism-
dc.subjectgut microbiota-
dc.subjectexercise responsiveness-
dc.subjectinsulin resistance-
dc.subjectglucose dysregulation-
dc.subjectpersonalized medicine-
dc.titleGut Microbiome Fermentation Determines the Efficacy of Exercise for Diabetes Prevention-
dc.typeArticle-
dc.identifier.emailLiu, Y: liuyan27@hku.hk-
dc.identifier.emailCheung, CKY: ckyc@hku.hk-
dc.identifier.emailLam, KSL: ksllam@hku.hk-
dc.identifier.emailWang, Y: yuwanghk@hku.hk-
dc.identifier.emailXia, Z: zyxia@hkucc.hku.hk-
dc.identifier.emailTse, MA: matse@hkucc.hku.hk-
dc.identifier.emailXu, A: amxu@hkucc.hku.hk-
dc.identifier.authorityLiu, Y=rp02654-
dc.identifier.authorityLam, KSL=rp00343-
dc.identifier.authorityWang, Y=rp00239-
dc.identifier.authorityXia, Z=rp00532-
dc.identifier.authorityXu, A=rp00485-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1016/j.cmet.2019.11.001-
dc.identifier.pmid31786155-
dc.identifier.scopuseid_2-s2.0-85076019007-
dc.identifier.hkuros312494-
dc.identifier.volume31-
dc.identifier.issue1-
dc.identifier.spage77-
dc.identifier.epage91.e5-
dc.publisher.placeUnited States-

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