Gut microbiota predicts body fat change following a low-energy diet

Detalhes bibliográficos
Autor(a) principal: Jian, Ching
Data de Publicação: 2022
Outros Autores: Silvestre, Marta Paulino, Middleton, Danielle, Korpela, Katri, Jalo, Elli, Broderick, David, de Vos, Willem Meindert, Fogelholm, Mikael, Taylor, Mike William, Raben, Anne, Poppitt, Sally, Salonen, Anne
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10362/139412
Resumo: 3706738). The Cambridge Weight Plan® (Northants, UK) kindly donated all low-energy diet products. This study was also supported by grants from the University of Helsinki, the Mary and Georg Ehnrooth Foundation and the Otto A. Malm Foundation.
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spelling Gut microbiota predicts body fat change following a low-energy dieta PREVIEW intervention studySDG 3 - Good Health and Well-being3706738). The Cambridge Weight Plan® (Northants, UK) kindly donated all low-energy diet products. This study was also supported by grants from the University of Helsinki, the Mary and Georg Ehnrooth Foundation and the Otto A. Malm Foundation.BACKGROUND: Low-energy diets (LEDs) comprise commercially formulated food products that provide between 800 and 1200 kcal/day (3.3-5 MJ/day) to aid body weight loss. Recent small-scale studies suggest that LEDs are associated with marked changes in the gut microbiota that may modify the effect of the LED on host metabolism and weight loss. We investigated how the gut microbiota changed during 8 weeks of total meal replacement LED and determined their associations with host response in a sub-analysis of 211 overweight adults with pre-diabetes participating in the large multicentre PREVIEW (PREVention of diabetes through lifestyle intervention and population studies In Europe and around the World) clinical trial. METHODS: Microbial community composition was analysed by Illumina sequencing of the hypervariable V3-V4 regions of the 16S ribosomal RNA (rRNA) gene. Butyrate production capacity was estimated by qPCR targeting the butyryl-CoA:acetate CoA-transferase gene. Bioinformatics and statistical analyses, such as comparison of alpha and beta diversity measures, correlative and differential abundances analysis, were undertaken on the 16S rRNA gene sequences of 211 paired (pre- and post-LED) samples as well as their integration with the clinical, biomedical and dietary datasets for predictive modelling. RESULTS: The overall composition of the gut microbiota changed markedly and consistently from pre- to post-LED (P = 0.001), along with increased richness and diversity (both P < 0.001). Following the intervention, the relative abundance of several genera previously associated with metabolic improvements (e.g., Akkermansia and Christensenellaceae R-7 group) was significantly increased (P < 0.001), while flagellated Pseudobutyrivibrio, acetogenic Blautia and Bifidobacterium spp. were decreased (all P < 0.001). Butyrate production capacity was reduced (P < 0.001). The changes in microbiota composition and predicted functions were significantly associated with body weight loss (P < 0.05). Baseline gut microbiota features were able to explain ~25% of variation in total body fat change (post-pre-LED). CONCLUSIONS: The gut microbiota and individual taxa were significantly influenced by the LED intervention and correlated with changes in total body fat and body weight in individuals with overweight and pre-diabetes. Despite inter-individual variation, the baseline gut microbiota was a strong predictor of total body fat change during the energy restriction period. TRIAL REGISTRATION: The PREVIEW trial was prospectively registered at ClinicalTrials.gov ( NCT01777893 ) on January 29, 2013.NOVA Medical School|Faculdade de Ciências Médicas (NMS|FCM)RUNJian, ChingSilvestre, Marta PaulinoMiddleton, DanielleKorpela, KatriJalo, ElliBroderick, Davidde Vos, Willem MeindertFogelholm, MikaelTaylor, Mike WilliamRaben, AnnePoppitt, SallySalonen, Anne2022-06-03T22:31:27Z2022-05-232022-05-23T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10362/139412eng1756-994XPURE: 44286137https://doi.org/10.1186/s13073-022-01053-7info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-03-11T05:16:46Zoai:run.unl.pt:10362/139412Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:49:26.553862Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Gut microbiota predicts body fat change following a low-energy diet
a PREVIEW intervention study
title Gut microbiota predicts body fat change following a low-energy diet
spellingShingle Gut microbiota predicts body fat change following a low-energy diet
Jian, Ching
SDG 3 - Good Health and Well-being
title_short Gut microbiota predicts body fat change following a low-energy diet
title_full Gut microbiota predicts body fat change following a low-energy diet
title_fullStr Gut microbiota predicts body fat change following a low-energy diet
title_full_unstemmed Gut microbiota predicts body fat change following a low-energy diet
title_sort Gut microbiota predicts body fat change following a low-energy diet
author Jian, Ching
author_facet Jian, Ching
Silvestre, Marta Paulino
Middleton, Danielle
Korpela, Katri
Jalo, Elli
Broderick, David
de Vos, Willem Meindert
Fogelholm, Mikael
Taylor, Mike William
Raben, Anne
Poppitt, Sally
Salonen, Anne
author_role author
author2 Silvestre, Marta Paulino
Middleton, Danielle
Korpela, Katri
Jalo, Elli
Broderick, David
de Vos, Willem Meindert
Fogelholm, Mikael
Taylor, Mike William
Raben, Anne
Poppitt, Sally
Salonen, Anne
author2_role author
author
author
author
author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv NOVA Medical School|Faculdade de Ciências Médicas (NMS|FCM)
RUN
dc.contributor.author.fl_str_mv Jian, Ching
Silvestre, Marta Paulino
Middleton, Danielle
Korpela, Katri
Jalo, Elli
Broderick, David
de Vos, Willem Meindert
Fogelholm, Mikael
Taylor, Mike William
Raben, Anne
Poppitt, Sally
Salonen, Anne
dc.subject.por.fl_str_mv SDG 3 - Good Health and Well-being
topic SDG 3 - Good Health and Well-being
description 3706738). The Cambridge Weight Plan® (Northants, UK) kindly donated all low-energy diet products. This study was also supported by grants from the University of Helsinki, the Mary and Georg Ehnrooth Foundation and the Otto A. Malm Foundation.
publishDate 2022
dc.date.none.fl_str_mv 2022-06-03T22:31:27Z
2022-05-23
2022-05-23T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10362/139412
url http://hdl.handle.net/10362/139412
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 1756-994X
PURE: 44286137
https://doi.org/10.1186/s13073-022-01053-7
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
institution RCAAP
reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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