Cargando…

Characterization of Changes and Driver Microbes in Gut Microbiota During Healthy Aging Using A Captive Monkey Model

Recent population studies have significantly advanced our understanding of how age shapes the gut microbiota. However, the actual role of age could be inevitably confounded due to the complex and variable environmental factors in human populations. A well-controlled environment is thus necessary to...

Descripción completa

Detalles Bibliográficos
Autores principales: Wei, Zhi-Yuan, Rao, Jun-Hua, Tang, Ming-Tian, Zhao, Guo-An, Li, Qi-Chun, Wu, Li-Ming, Liu, Shao-Qiang, Li, Bi-Hai, Xiao, Bai-Quan, Liu, Xing-Yin, Chen, Jian-Huan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9684162/
https://www.ncbi.nlm.nih.gov/pubmed/34974191
http://dx.doi.org/10.1016/j.gpb.2021.09.009
_version_ 1784835217954963456
author Wei, Zhi-Yuan
Rao, Jun-Hua
Tang, Ming-Tian
Zhao, Guo-An
Li, Qi-Chun
Wu, Li-Ming
Liu, Shao-Qiang
Li, Bi-Hai
Xiao, Bai-Quan
Liu, Xing-Yin
Chen, Jian-Huan
author_facet Wei, Zhi-Yuan
Rao, Jun-Hua
Tang, Ming-Tian
Zhao, Guo-An
Li, Qi-Chun
Wu, Li-Ming
Liu, Shao-Qiang
Li, Bi-Hai
Xiao, Bai-Quan
Liu, Xing-Yin
Chen, Jian-Huan
author_sort Wei, Zhi-Yuan
collection PubMed
description Recent population studies have significantly advanced our understanding of how age shapes the gut microbiota. However, the actual role of age could be inevitably confounded due to the complex and variable environmental factors in human populations. A well-controlled environment is thus necessary to reduce undesirable confounding effects, and recapitulate age-dependent changes in the gut microbiota of healthy primates. Herein we performed 16S rRNA gene sequencing, characterized the age-associated gut microbial profiles from infant to elderly crab-eating macaques reared in captivity, and systemically revealed the lifelong dynamic changes of the primate gut microbiota. While the most significant age-associated taxa were mainly found as commensals such as Faecalibacterium, the abundance of a group of suspicious pathogens such as Helicobacter was exclusively increased in infants, underlining their potential role in host development. Importantly, topology analysis indicated that the network connectivity of gut microbiota was even more age-dependent than taxonomic diversity, and its tremendous decline with age could probably be linked to healthy aging. Moreover, we identified key driver microbes responsible for such age-dependent network changes, which were further linked to altered metabolic functions of lipids, carbohydrates, and amino acids, as well as phenotypes in the microbial community. The current study thus demonstrates the lifelong age-dependent changes and their driver microbes in the primate gut microbiota, and provides new insights into their roles in the development and healthy aging of their hosts.
format Online
Article
Text
id pubmed-9684162
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Elsevier
record_format MEDLINE/PubMed
spelling pubmed-96841622022-11-25 Characterization of Changes and Driver Microbes in Gut Microbiota During Healthy Aging Using A Captive Monkey Model Wei, Zhi-Yuan Rao, Jun-Hua Tang, Ming-Tian Zhao, Guo-An Li, Qi-Chun Wu, Li-Ming Liu, Shao-Qiang Li, Bi-Hai Xiao, Bai-Quan Liu, Xing-Yin Chen, Jian-Huan Genomics Proteomics Bioinformatics Original Research Recent population studies have significantly advanced our understanding of how age shapes the gut microbiota. However, the actual role of age could be inevitably confounded due to the complex and variable environmental factors in human populations. A well-controlled environment is thus necessary to reduce undesirable confounding effects, and recapitulate age-dependent changes in the gut microbiota of healthy primates. Herein we performed 16S rRNA gene sequencing, characterized the age-associated gut microbial profiles from infant to elderly crab-eating macaques reared in captivity, and systemically revealed the lifelong dynamic changes of the primate gut microbiota. While the most significant age-associated taxa were mainly found as commensals such as Faecalibacterium, the abundance of a group of suspicious pathogens such as Helicobacter was exclusively increased in infants, underlining their potential role in host development. Importantly, topology analysis indicated that the network connectivity of gut microbiota was even more age-dependent than taxonomic diversity, and its tremendous decline with age could probably be linked to healthy aging. Moreover, we identified key driver microbes responsible for such age-dependent network changes, which were further linked to altered metabolic functions of lipids, carbohydrates, and amino acids, as well as phenotypes in the microbial community. The current study thus demonstrates the lifelong age-dependent changes and their driver microbes in the primate gut microbiota, and provides new insights into their roles in the development and healthy aging of their hosts. Elsevier 2022-04 2021-12-30 /pmc/articles/PMC9684162/ /pubmed/34974191 http://dx.doi.org/10.1016/j.gpb.2021.09.009 Text en © 2021 The Authors https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Original Research
Wei, Zhi-Yuan
Rao, Jun-Hua
Tang, Ming-Tian
Zhao, Guo-An
Li, Qi-Chun
Wu, Li-Ming
Liu, Shao-Qiang
Li, Bi-Hai
Xiao, Bai-Quan
Liu, Xing-Yin
Chen, Jian-Huan
Characterization of Changes and Driver Microbes in Gut Microbiota During Healthy Aging Using A Captive Monkey Model
title Characterization of Changes and Driver Microbes in Gut Microbiota During Healthy Aging Using A Captive Monkey Model
title_full Characterization of Changes and Driver Microbes in Gut Microbiota During Healthy Aging Using A Captive Monkey Model
title_fullStr Characterization of Changes and Driver Microbes in Gut Microbiota During Healthy Aging Using A Captive Monkey Model
title_full_unstemmed Characterization of Changes and Driver Microbes in Gut Microbiota During Healthy Aging Using A Captive Monkey Model
title_short Characterization of Changes and Driver Microbes in Gut Microbiota During Healthy Aging Using A Captive Monkey Model
title_sort characterization of changes and driver microbes in gut microbiota during healthy aging using a captive monkey model
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9684162/
https://www.ncbi.nlm.nih.gov/pubmed/34974191
http://dx.doi.org/10.1016/j.gpb.2021.09.009
work_keys_str_mv AT weizhiyuan characterizationofchangesanddrivermicrobesingutmicrobiotaduringhealthyagingusingacaptivemonkeymodel
AT raojunhua characterizationofchangesanddrivermicrobesingutmicrobiotaduringhealthyagingusingacaptivemonkeymodel
AT tangmingtian characterizationofchangesanddrivermicrobesingutmicrobiotaduringhealthyagingusingacaptivemonkeymodel
AT zhaoguoan characterizationofchangesanddrivermicrobesingutmicrobiotaduringhealthyagingusingacaptivemonkeymodel
AT liqichun characterizationofchangesanddrivermicrobesingutmicrobiotaduringhealthyagingusingacaptivemonkeymodel
AT wuliming characterizationofchangesanddrivermicrobesingutmicrobiotaduringhealthyagingusingacaptivemonkeymodel
AT liushaoqiang characterizationofchangesanddrivermicrobesingutmicrobiotaduringhealthyagingusingacaptivemonkeymodel
AT libihai characterizationofchangesanddrivermicrobesingutmicrobiotaduringhealthyagingusingacaptivemonkeymodel
AT xiaobaiquan characterizationofchangesanddrivermicrobesingutmicrobiotaduringhealthyagingusingacaptivemonkeymodel
AT liuxingyin characterizationofchangesanddrivermicrobesingutmicrobiotaduringhealthyagingusingacaptivemonkeymodel
AT chenjianhuan characterizationofchangesanddrivermicrobesingutmicrobiotaduringhealthyagingusingacaptivemonkeymodel