Cargando…
Regional distribution of Christensenellaceae and its associations with metabolic syndrome based on a population-level analysis
The link between the gut microbiota and metabolic syndrome (MetS) has attracted widespread attention. Christensenellaceae was recently described as an important player in human health, while its distribution and relationship with MetS in Chinese population is still unknown. This study sought to obse...
Autores principales: | , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
PeerJ Inc.
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7413085/ https://www.ncbi.nlm.nih.gov/pubmed/32832265 http://dx.doi.org/10.7717/peerj.9591 |
_version_ | 1783568734832558080 |
---|---|
author | Li, Xiang Li, Zewen He, Yan Li, Pan Zhou, Hongwei Zeng, Nianyi |
author_facet | Li, Xiang Li, Zewen He, Yan Li, Pan Zhou, Hongwei Zeng, Nianyi |
author_sort | Li, Xiang |
collection | PubMed |
description | The link between the gut microbiota and metabolic syndrome (MetS) has attracted widespread attention. Christensenellaceae was recently described as an important player in human health, while its distribution and relationship with MetS in Chinese population is still unknown. This study sought to observe the association between Christensenellaceae and metabolic indexes in a large sample of residents in South China. A total of 4,781 people from the GGMP project were included, and the fecal microbiota composition of these individuals was characterized by 16S rRNA sequencing and analyzed the relation between Christensenellaceae and metabolism using QIIME (Quantitative Insight Into Microbial Ecology, Version 1.9.1). The results demonstrated that microbial richness and diversity were increased in the group with a high abundance of Christensenellaceae, who showed a greater complexity of the co-occurrence network with other bacteria than residents who lacked Christensenellaceae. The enriched bacterial taxa were predominantly represented by Oscillospira, Ruminococcaceae, RF39, Rikenellaceae and Akkermansia as the Christensenellaceae abundance increased, while the abundances of Veillonella, Fusobacterium and Klebsiella were significantly reduced. Furthermore, Christensenellaceae was negatively correlated with the pathological features of MetS, such as obesity, hypertriglyceridemia and body mass index (BMI). We found reduced levels of lipid biosynthesis and energy metabolism pathways in people with a high abundance of Christensenellaceae, which may explain the negative relationship between body weight and Christensenellaceae. In conclusion, we found a negative correlation between Christensenellaceae and MetS in a large Chinese population and reported the geographical distribution of Christensenellaceae in the GGMP study. The association data from this population-level research support the investigation of strains within Christensenellaceae as potentially beneficial gut microbes. |
format | Online Article Text |
id | pubmed-7413085 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | PeerJ Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-74130852020-08-21 Regional distribution of Christensenellaceae and its associations with metabolic syndrome based on a population-level analysis Li, Xiang Li, Zewen He, Yan Li, Pan Zhou, Hongwei Zeng, Nianyi PeerJ Bioinformatics The link between the gut microbiota and metabolic syndrome (MetS) has attracted widespread attention. Christensenellaceae was recently described as an important player in human health, while its distribution and relationship with MetS in Chinese population is still unknown. This study sought to observe the association between Christensenellaceae and metabolic indexes in a large sample of residents in South China. A total of 4,781 people from the GGMP project were included, and the fecal microbiota composition of these individuals was characterized by 16S rRNA sequencing and analyzed the relation between Christensenellaceae and metabolism using QIIME (Quantitative Insight Into Microbial Ecology, Version 1.9.1). The results demonstrated that microbial richness and diversity were increased in the group with a high abundance of Christensenellaceae, who showed a greater complexity of the co-occurrence network with other bacteria than residents who lacked Christensenellaceae. The enriched bacterial taxa were predominantly represented by Oscillospira, Ruminococcaceae, RF39, Rikenellaceae and Akkermansia as the Christensenellaceae abundance increased, while the abundances of Veillonella, Fusobacterium and Klebsiella were significantly reduced. Furthermore, Christensenellaceae was negatively correlated with the pathological features of MetS, such as obesity, hypertriglyceridemia and body mass index (BMI). We found reduced levels of lipid biosynthesis and energy metabolism pathways in people with a high abundance of Christensenellaceae, which may explain the negative relationship between body weight and Christensenellaceae. In conclusion, we found a negative correlation between Christensenellaceae and MetS in a large Chinese population and reported the geographical distribution of Christensenellaceae in the GGMP study. The association data from this population-level research support the investigation of strains within Christensenellaceae as potentially beneficial gut microbes. PeerJ Inc. 2020-08-04 /pmc/articles/PMC7413085/ /pubmed/32832265 http://dx.doi.org/10.7717/peerj.9591 Text en ©2020 Li et al. https://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited. |
spellingShingle | Bioinformatics Li, Xiang Li, Zewen He, Yan Li, Pan Zhou, Hongwei Zeng, Nianyi Regional distribution of Christensenellaceae and its associations with metabolic syndrome based on a population-level analysis |
title | Regional distribution of Christensenellaceae and its associations with metabolic syndrome based on a population-level analysis |
title_full | Regional distribution of Christensenellaceae and its associations with metabolic syndrome based on a population-level analysis |
title_fullStr | Regional distribution of Christensenellaceae and its associations with metabolic syndrome based on a population-level analysis |
title_full_unstemmed | Regional distribution of Christensenellaceae and its associations with metabolic syndrome based on a population-level analysis |
title_short | Regional distribution of Christensenellaceae and its associations with metabolic syndrome based on a population-level analysis |
title_sort | regional distribution of christensenellaceae and its associations with metabolic syndrome based on a population-level analysis |
topic | Bioinformatics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7413085/ https://www.ncbi.nlm.nih.gov/pubmed/32832265 http://dx.doi.org/10.7717/peerj.9591 |
work_keys_str_mv | AT lixiang regionaldistributionofchristensenellaceaeanditsassociationswithmetabolicsyndromebasedonapopulationlevelanalysis AT lizewen regionaldistributionofchristensenellaceaeanditsassociationswithmetabolicsyndromebasedonapopulationlevelanalysis AT heyan regionaldistributionofchristensenellaceaeanditsassociationswithmetabolicsyndromebasedonapopulationlevelanalysis AT lipan regionaldistributionofchristensenellaceaeanditsassociationswithmetabolicsyndromebasedonapopulationlevelanalysis AT zhouhongwei regionaldistributionofchristensenellaceaeanditsassociationswithmetabolicsyndromebasedonapopulationlevelanalysis AT zengnianyi regionaldistributionofchristensenellaceaeanditsassociationswithmetabolicsyndromebasedonapopulationlevelanalysis |