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Optimizing ex vivo culture conditions to study human gut microbiome

The inter-individual variations of gut microbiome contribute to the different responses toward drug therapy among populations, developing a reliable ex vivo culture method for mixed bacteria is the urgent need for predicting personal reaction to drug therapy. Unfortunately, very few attentions have...

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Autores principales: Tao, Xin, Huang, Wenjin, Pan, Lingyun, Sheng, Lili, Qin, Yuan, Chen, Luo, Yu, Linhuan, Wu, Gaosong, Wan, Jianbo, Li, Houkai
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10130157/
https://www.ncbi.nlm.nih.gov/pubmed/37185811
http://dx.doi.org/10.1038/s43705-023-00245-5
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author Tao, Xin
Huang, Wenjin
Pan, Lingyun
Sheng, Lili
Qin, Yuan
Chen, Luo
Yu, Linhuan
Wu, Gaosong
Wan, Jianbo
Li, Houkai
author_facet Tao, Xin
Huang, Wenjin
Pan, Lingyun
Sheng, Lili
Qin, Yuan
Chen, Luo
Yu, Linhuan
Wu, Gaosong
Wan, Jianbo
Li, Houkai
author_sort Tao, Xin
collection PubMed
description The inter-individual variations of gut microbiome contribute to the different responses toward drug therapy among populations, developing a reliable ex vivo culture method for mixed bacteria is the urgent need for predicting personal reaction to drug therapy. Unfortunately, very few attentions have been paid to the bias that could be introduced during the culture process for mixed bacteria. Here we systemically evaluated the factors that may affect the outcomes of cultured bacteria from human feces. We demonstrated that inter-individual difference of host gut microbiome was the main factor affecting the outcomes of cultured bacteria, followed by the culture medium and time point. We further optimized a new medium termed GB based on our established multi-dimensional evaluation method, which could mimic the status of in situ host gut microbiome to the highest extent. Finally, we assessed the inter-individual metabolism by host gut microbiome from 10 donors on three frequently used clinical drugs (aspirin, levodopa and doxifluridine) based on the optimized GB medium. Our results revealed obvious variation in drug metabolism by microbiome from different donors, especially levodopa and doxifluridine. This work suggested the optimized culture medium had the potential for exploring the inter-individual impacts of host gut microbiome on drug metabolism. [Image: see text]
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spelling pubmed-101301572023-04-27 Optimizing ex vivo culture conditions to study human gut microbiome Tao, Xin Huang, Wenjin Pan, Lingyun Sheng, Lili Qin, Yuan Chen, Luo Yu, Linhuan Wu, Gaosong Wan, Jianbo Li, Houkai ISME Commun Article The inter-individual variations of gut microbiome contribute to the different responses toward drug therapy among populations, developing a reliable ex vivo culture method for mixed bacteria is the urgent need for predicting personal reaction to drug therapy. Unfortunately, very few attentions have been paid to the bias that could be introduced during the culture process for mixed bacteria. Here we systemically evaluated the factors that may affect the outcomes of cultured bacteria from human feces. We demonstrated that inter-individual difference of host gut microbiome was the main factor affecting the outcomes of cultured bacteria, followed by the culture medium and time point. We further optimized a new medium termed GB based on our established multi-dimensional evaluation method, which could mimic the status of in situ host gut microbiome to the highest extent. Finally, we assessed the inter-individual metabolism by host gut microbiome from 10 donors on three frequently used clinical drugs (aspirin, levodopa and doxifluridine) based on the optimized GB medium. Our results revealed obvious variation in drug metabolism by microbiome from different donors, especially levodopa and doxifluridine. This work suggested the optimized culture medium had the potential for exploring the inter-individual impacts of host gut microbiome on drug metabolism. [Image: see text] Nature Publishing Group UK 2023-04-25 /pmc/articles/PMC10130157/ /pubmed/37185811 http://dx.doi.org/10.1038/s43705-023-00245-5 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Tao, Xin
Huang, Wenjin
Pan, Lingyun
Sheng, Lili
Qin, Yuan
Chen, Luo
Yu, Linhuan
Wu, Gaosong
Wan, Jianbo
Li, Houkai
Optimizing ex vivo culture conditions to study human gut microbiome
title Optimizing ex vivo culture conditions to study human gut microbiome
title_full Optimizing ex vivo culture conditions to study human gut microbiome
title_fullStr Optimizing ex vivo culture conditions to study human gut microbiome
title_full_unstemmed Optimizing ex vivo culture conditions to study human gut microbiome
title_short Optimizing ex vivo culture conditions to study human gut microbiome
title_sort optimizing ex vivo culture conditions to study human gut microbiome
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10130157/
https://www.ncbi.nlm.nih.gov/pubmed/37185811
http://dx.doi.org/10.1038/s43705-023-00245-5
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