Comprehensive analysis of gut microbiota of a healthy population and covariates affecting microbial variation in two large Japanese cohorts.

Autor:	Park J; Laboratory of Bioinformatics, Artificial Intelligence Center for Health and Biomedical Research, National Institutes of Biomedical Innovation, Health and Nutrition, Osaka, 567-0085, Japan., Kato K; Morinaga Milk Industry Co., Ltd., Next Generation Science Institute, Kanagawa, 252-8583, Japan., Murakami H; Department of Physical Activity Research, National Institutes of Biomedical Innovation, Health and Nutrition, Tokyo, 162-8636, Japan., Hosomi K; Laboratory of Vaccine Materials, Center for Vaccine and Adjuvant Research and Laboratory of Gut Environmental System, National Institutes of Biomedical Innovation, Health and Nutrition, Osaka, 567-0085, Japan., Tanisawa K; Department of Physical Activity Research, National Institutes of Biomedical Innovation, Health and Nutrition, Tokyo, 162-8636, Japan.; Faculty of Sport Sciences, Waseda University, Saitama, 359-1192, Japan., Nakagata T; Department of Physical Activity Research, National Institutes of Biomedical Innovation, Health and Nutrition, Tokyo, 162-8636, Japan., Ohno H; Department of Physical Activity Research, National Institutes of Biomedical Innovation, Health and Nutrition, Tokyo, 162-8636, Japan.; Faculty of Human Nutrition, Tokyo Kasei Gakuin University, Tokyo, 102-8341, Japan., Konishi K; Department of Physical Activity Research, National Institutes of Biomedical Innovation, Health and Nutrition, Tokyo, 162-8636, Japan.; Faculty of Food and Nutritional Sciences, Toyo University, Gunma, 374-0193, Japan., Kawashima H; Laboratory of Bioinformatics, Artificial Intelligence Center for Health and Biomedical Research, National Institutes of Biomedical Innovation, Health and Nutrition, Osaka, 567-0085, Japan., Chen YA; Laboratory of Bioinformatics, Artificial Intelligence Center for Health and Biomedical Research, National Institutes of Biomedical Innovation, Health and Nutrition, Osaka, 567-0085, Japan., Mohsen A; Laboratory of Bioinformatics, Artificial Intelligence Center for Health and Biomedical Research, National Institutes of Biomedical Innovation, Health and Nutrition, Osaka, 567-0085, Japan., Xiao JZ; Morinaga Milk Industry Co., Ltd., Next Generation Science Institute, Kanagawa, 252-8583, Japan., Odamaki T; Morinaga Milk Industry Co., Ltd., Next Generation Science Institute, Kanagawa, 252-8583, Japan. t-odamak@morinagamilk.co.jp., Kunisawa J; Laboratory of Vaccine Materials, Center for Vaccine and Adjuvant Research and Laboratory of Gut Environmental System, National Institutes of Biomedical Innovation, Health and Nutrition, Osaka, 567-0085, Japan. kunisawa@nibiohn.go.jp., Mizuguchi K; Laboratory of Bioinformatics, Artificial Intelligence Center for Health and Biomedical Research, National Institutes of Biomedical Innovation, Health and Nutrition, Osaka, 567-0085, Japan. kenji@nibiohn.go.jp., Miyachi M; Department of Physical Activity Research, National Institutes of Biomedical Innovation, Health and Nutrition, Tokyo, 162-8636, Japan. miyachi@nibiohn.go.jp.; Faculty of Sport Sciences, Waseda University, Saitama, 359-1192, Japan. miyachi@nibiohn.go.jp.
Jazyk:	angličtina
Zdroj:	BMC microbiology [BMC Microbiol] 2021 May 20; Vol. 21 (1), pp. 151. Date of Electronic Publication: 2021 May 20.
DOI:	10.1186/s12866-021-02215-0
Abstrakt:	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.
Databáze:	MEDLINE
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