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Multi-omic analyses identify mucosa bacteria and fecal metabolites associated with weight loss after fecal microbiota transplantation
Fecal microbiota transplantation (FMT) has shown promising results in animal models of obesity, while results in human studies are inconsistent. We aimed to determine factors associated with weight loss after FMT in nine obese subjects using serial multi-omics analysis of the fecal and mucosal micro...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9460156/ https://www.ncbi.nlm.nih.gov/pubmed/36091491 http://dx.doi.org/10.1016/j.xinn.2022.100304 |
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author | Zhang, Fen Zuo, Tao Wan, Yating Xu, Zhilu Cheung, Chunpan Li, Amy Y. Zhu, Wenyi Tang, Whitney Chan, Paul K.S. Chan, Francis K.L. Ng, Siew C. |
author_facet | Zhang, Fen Zuo, Tao Wan, Yating Xu, Zhilu Cheung, Chunpan Li, Amy Y. Zhu, Wenyi Tang, Whitney Chan, Paul K.S. Chan, Francis K.L. Ng, Siew C. |
author_sort | Zhang, Fen |
collection | PubMed |
description | Fecal microbiota transplantation (FMT) has shown promising results in animal models of obesity, while results in human studies are inconsistent. We aimed to determine factors associated with weight loss after FMT in nine obese subjects using serial multi-omics analysis of the fecal and mucosal microbiome. The mucosal microbiome, fecal microbiome, and fecal metabolome showed individual clustering in each subject after FMT. The colonic microbiome in patients showed more marked variance after FMT compared with the duodenal microbiome, characterized by an increased relative abundance of Bacteroides. Subjects who lost weight after FMT sustained enrichment of Bifidobacterium bifidum and Alistipes onderdonkii in the duodenal, colonic mucosal, and fecal microbiome and increased levels of phosphopantothenate biosynthesis and fecal metabolite eicosapentaenoic acid (EPA), compared with those without weight loss. Fecal levels of amino acid metabolism-associated were positively correlated with the fecal abundance of B. bifidum, and fatty acid metabolism-associated metabolites showed positive correlations with A. onderdonkii. We report for the first time the individualized response of fecal and mucosa microbiome to FMT in obese subjects and highlight that FMT is less capable of shaping the small intestine microbiota. These findings contribute to personalized microbe-based therapies for obesity. |
format | Online Article Text |
id | pubmed-9460156 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-94601562022-09-10 Multi-omic analyses identify mucosa bacteria and fecal metabolites associated with weight loss after fecal microbiota transplantation Zhang, Fen Zuo, Tao Wan, Yating Xu, Zhilu Cheung, Chunpan Li, Amy Y. Zhu, Wenyi Tang, Whitney Chan, Paul K.S. Chan, Francis K.L. Ng, Siew C. Innovation (Camb) Report Fecal microbiota transplantation (FMT) has shown promising results in animal models of obesity, while results in human studies are inconsistent. We aimed to determine factors associated with weight loss after FMT in nine obese subjects using serial multi-omics analysis of the fecal and mucosal microbiome. The mucosal microbiome, fecal microbiome, and fecal metabolome showed individual clustering in each subject after FMT. The colonic microbiome in patients showed more marked variance after FMT compared with the duodenal microbiome, characterized by an increased relative abundance of Bacteroides. Subjects who lost weight after FMT sustained enrichment of Bifidobacterium bifidum and Alistipes onderdonkii in the duodenal, colonic mucosal, and fecal microbiome and increased levels of phosphopantothenate biosynthesis and fecal metabolite eicosapentaenoic acid (EPA), compared with those without weight loss. Fecal levels of amino acid metabolism-associated were positively correlated with the fecal abundance of B. bifidum, and fatty acid metabolism-associated metabolites showed positive correlations with A. onderdonkii. We report for the first time the individualized response of fecal and mucosa microbiome to FMT in obese subjects and highlight that FMT is less capable of shaping the small intestine microbiota. These findings contribute to personalized microbe-based therapies for obesity. Elsevier 2022-08-17 /pmc/articles/PMC9460156/ /pubmed/36091491 http://dx.doi.org/10.1016/j.xinn.2022.100304 Text en © 2022 The Author(s) https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Report Zhang, Fen Zuo, Tao Wan, Yating Xu, Zhilu Cheung, Chunpan Li, Amy Y. Zhu, Wenyi Tang, Whitney Chan, Paul K.S. Chan, Francis K.L. Ng, Siew C. Multi-omic analyses identify mucosa bacteria and fecal metabolites associated with weight loss after fecal microbiota transplantation |
title | Multi-omic analyses identify mucosa bacteria and fecal metabolites associated with weight loss after fecal microbiota transplantation |
title_full | Multi-omic analyses identify mucosa bacteria and fecal metabolites associated with weight loss after fecal microbiota transplantation |
title_fullStr | Multi-omic analyses identify mucosa bacteria and fecal metabolites associated with weight loss after fecal microbiota transplantation |
title_full_unstemmed | Multi-omic analyses identify mucosa bacteria and fecal metabolites associated with weight loss after fecal microbiota transplantation |
title_short | Multi-omic analyses identify mucosa bacteria and fecal metabolites associated with weight loss after fecal microbiota transplantation |
title_sort | multi-omic analyses identify mucosa bacteria and fecal metabolites associated with weight loss after fecal microbiota transplantation |
topic | Report |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9460156/ https://www.ncbi.nlm.nih.gov/pubmed/36091491 http://dx.doi.org/10.1016/j.xinn.2022.100304 |
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