TY - JOUR
T1 - Comprehensive analysis of gut microbiota of a healthy population and covariates affecting microbial variation in two large Japanese cohorts
AU - Park, Jonguk
AU - Kato, Kumiko
AU - Murakami, Haruka
AU - Hosomi, Koji
AU - Tanisawa, Kumpei
AU - Nakagata, Takashi
AU - Ohno, Harumi
AU - Konishi, Kana
AU - Kawashima, Hitoshi
AU - Chen, Yi An
AU - Mohsen, Attayeb
AU - Xiao, Jin zhong
AU - Odamaki, Toshitaka
AU - Kunisawa, Jun
AU - Mizuguchi, Kenji
AU - Miyachi, Motohiko
N1 - Funding Information:
The authors are grateful to all of the participants who provided fecal samples for use in this research. We are grateful to the support members of each laboratory at NIBIOHN and Morinaga Milk Industry, especially Aya Mizuno and Yuki Yamauchi. We would like to thank Editage (www.editage.com) for English language editing.
Funding Information:
This study was supported by Grant-in-Aid for Scientific Research (C) 6 K00944 and by Health and Labour Sciences Research Grant 201709002B (to MM); the Japan Agency for Medical Research and Development (AMED; JP20gm1010006h004 to JK); the Ministry of Health and Welfare of Japan and Public/Private R&D Investment Strategic Expansion Program: PRISM (to JK, KM, and MM); the Japan Society for the Promotion of Science KAKENHI (Grant nos. JP18H05280 to KH), and the Canon Foundation (to JK). The funding bodies played no role in the design of the study and collection, analysis, and interpretation of data and in writing the manuscript.
Publisher Copyright:
© 2021, The Author(s).
PY - 2021/12
Y1 - 2021/12
N2 - Background: Inter-individual variations in gut microbiota composition are observed even among healthy populations. The gut microbiota may exhibit a unique composition depending on the country of origin and race of individuals. To comprehensively understand the link between healthy gut microbiota and host state, it is beneficial to conduct large-scale cohort studies. The aim of the present study was to elucidate the integrated and non-redundant factors associated with gut microbiota composition within the Japanese population by 16S rRNA sequencing of fecal samples and questionnaire-based covariate analysis. Results: A total of 1596 healthy Japanese individuals participated in this study via two independent cohorts, NIBIOHN cohort (n = 954) and MORINAGA cohort (n = 642). Gut microbiota composition was described and the interaction of these microorganisms with metadata parameters such as anthropometric measurements, bowel habits, medical history, and lifestyle were obtained. Thirteen genera, including Alistipes, Anaerostipes, Bacteroides, Bifidobacterium, Blautia, Eubacterium halli group, Faecalibacterium, Fusicatenibacter, Lachnoclostridium, Parabacteroides, Prevotella_9, Roseburia, and Subdoligranulum were predominant among the two cohorts. On the basis of univariate analysis for overall microbiome variation, 18 matching variables exhibited significant association in both cohorts. A stepwise redundancy analysis revealed that there were four common covariates, Bristol Stool Scale (BSS) scores, gender, age, and defecation frequency, displaying non-redundant association with gut microbial variance. Conclusions: We conducted a comprehensive analysis of gut microbiota in healthy Japanese individuals, based on two independent cohorts, and obtained reliable evidence that questionnaire-based covariates such as frequency of bowel movement and specific dietary habit affects the microbial composition of the gut. To our knowledge, this was the first study to investigate integrated and non-redundant factors associated with gut microbiota among Japanese populations.
AB - Background: Inter-individual variations in gut microbiota composition are observed even among healthy populations. The gut microbiota may exhibit a unique composition depending on the country of origin and race of individuals. To comprehensively understand the link between healthy gut microbiota and host state, it is beneficial to conduct large-scale cohort studies. The aim of the present study was to elucidate the integrated and non-redundant factors associated with gut microbiota composition within the Japanese population by 16S rRNA sequencing of fecal samples and questionnaire-based covariate analysis. Results: A total of 1596 healthy Japanese individuals participated in this study via two independent cohorts, NIBIOHN cohort (n = 954) and MORINAGA cohort (n = 642). Gut microbiota composition was described and the interaction of these microorganisms with metadata parameters such as anthropometric measurements, bowel habits, medical history, and lifestyle were obtained. Thirteen genera, including Alistipes, Anaerostipes, Bacteroides, Bifidobacterium, Blautia, Eubacterium halli group, Faecalibacterium, Fusicatenibacter, Lachnoclostridium, Parabacteroides, Prevotella_9, Roseburia, and Subdoligranulum were predominant among the two cohorts. On the basis of univariate analysis for overall microbiome variation, 18 matching variables exhibited significant association in both cohorts. A stepwise redundancy analysis revealed that there were four common covariates, Bristol Stool Scale (BSS) scores, gender, age, and defecation frequency, displaying non-redundant association with gut microbial variance. Conclusions: We conducted a comprehensive analysis of gut microbiota in healthy Japanese individuals, based on two independent cohorts, and obtained reliable evidence that questionnaire-based covariates such as frequency of bowel movement and specific dietary habit affects the microbial composition of the gut. To our knowledge, this was the first study to investigate integrated and non-redundant factors associated with gut microbiota among Japanese populations.
KW - 16S rRNA
KW - Covariates
KW - Gut microbiota
KW - Japanese population
KW - Large cohort
UR - http://www.scopus.com/inward/record.url?scp=85106618391&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85106618391&partnerID=8YFLogxK
U2 - 10.1186/s12866-021-02215-0
DO - 10.1186/s12866-021-02215-0
M3 - Article
C2 - 34016052
AN - SCOPUS:85106618391
SN - 1471-2180
VL - 21
JO - BMC Microbiology
JF - BMC Microbiology
IS - 1
M1 - 151
ER -