Abstract

Although recent studies have revealed the association between the human microbiome especially gut microbiota and longevity, their causality remains unclear. Here, we assess the causal relationships between the human microbiome (gut and oral microbiota) and longevity, by leveraging bidirectional two-sample Mendelian randomization (MR) analyses based on genome-wide association studies (GWAS) summary statistics of the gut and oral microbiome from the 4D-SZ cohort and longevity from the CLHLS cohort. We found that some disease-protected gut microbiota such as Coriobacteriaceae and Oxalobacter as well as the probiotic Lactobacillus amylovorus were related to increased odds of longevity, whereas the other gut microbiota such as colorectal cancer pathogen Fusobacterium nucleatum, Coprococcus, Streptococcus, Lactobacillus, and Neisseria were negatively associated with longevity. The reverse MR analysis further revealed genetically longevous individuals tended to have higher abundances of Prevotella and Paraprevotella but lower abundances of Bacteroides and Fusobacterium species. Few overlaps of gut microbiota-longevity interactions were identified across different populations. We also identified abundant links between the oral microbiome and longevity. The additional analysis suggested that centenarians genetically had a lower gut microbial diversity, but no difference in oral microbiota. Our findings strongly implicate these bacteria to play a role in human longevity and underscore the relocation of commensal microbes among different body sites that would need to be monitored for long and healthy life.

Details

Title
Mendelian randomization analyses reveal causal relationships between the human microbiome and longevity
Author
Liu, Xiaomin 1 ; Zou, Leying 2 ; Nie, Chao 2 ; Qin, Youwen 2 ; Tong, Xin 2 ; Wang, Jian 3 ; Yang, Huanming 3 ; Xu, Xun 2 ; Jin, Xin 2 ; Xiao, Liang 2 ; Zhang, Tao 4 ; Min, Junxia 5 ; Zeng, Yi 6 ; Jia, Huijue 7 ; Hou, Yong 2 

 University of Chinese Academy of Sciences, College of Life Sciences, Beijing, China (GRID:grid.410726.6) (ISNI:0000 0004 1797 8419); BGI-Shenzhen, Shenzhen, China (GRID:grid.21155.32) (ISNI:0000 0001 2034 1839) 
 BGI-Shenzhen, Shenzhen, China (GRID:grid.21155.32) (ISNI:0000 0001 2034 1839) 
 BGI-Shenzhen, Shenzhen, China (GRID:grid.21155.32) (ISNI:0000 0001 2034 1839); James D. Watson Institute of Genome Sciences, Hangzhou, China (GRID:grid.13402.34) (ISNI:0000 0004 1759 700X) 
 BGI-Shenzhen, Shenzhen, China (GRID:grid.21155.32) (ISNI:0000 0001 2034 1839); University of Copenhagen, Department of Biology, Copenhagen, Denmark (GRID:grid.5254.6) (ISNI:0000 0001 0674 042X) 
 Zhejiang University, School of Medicine, The First Affiliated Hospital, Institute of Translational Medicine, Hangzhou, China (GRID:grid.13402.34) (ISNI:0000 0004 1759 700X) 
 Peking University, Center for Healthy Aging and Development Studies, National School of Development, Raissun Institute for Advanced Studies, Beijing, China (GRID:grid.11135.37) (ISNI:0000 0001 2256 9319) 
 Fudan University, Greater Bay Area Institute of Precision Medicine (Guangzhou), Shanghai, China (GRID:grid.8547.e) (ISNI:0000 0001 0125 2443) 
Pages
5127
Publication year
2023
Publication date
2023
Publisher
Nature Publishing Group
e-ISSN
20452322
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2792254498
Copyright
© The Author(s) 2023. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.