Laboratory of Bioinformatics, Artificial Intelligence Center for Health and Biomedical Research, National Institutes of Biomedical Innovation, Health and Nutrition, Osaka, 567-0085, Japan.
Morinaga Milk Industry Co., Ltd., Next Generation Science Institute, Kanagawa, 252-8583, Japan.
BMC Microbiol. 2021 May 20;21(1):151. doi: 10.1186/s12866-021-02215-0.
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.
背景：即使在健康人群中，个体之间的肠道微生物群落组成也存在差异。肠道微生物群可能根据个体的原籍国和种族呈现独特的组成。为了全面了解健康肠道微生物群与宿主状态之间的联系，进行大规模队列研究是有益的。本研究的目的是通过粪便样本 16S rRNA 测序和基于问卷的协变量分析，阐明与日本人群肠道微生物群落组成相关的综合且非冗余因素。
结果：共有 1596 名健康的日本个体通过两个独立的队列，NIBIOHN 队列（n=954）和 MORINAGA 队列（n=642）参与了本研究。描述了肠道微生物群落组成，并获得了这些微生物与人体测量学指标、排便习惯、病史和生活方式等元数据参数的相互作用。在这两个队列中，有 13 个属，包括 Alistipes、Anaerostipes、Bacteroides、Bifidobacterium、Blautia、Eubacterium halli 组、Faecalibacterium、Fusicatenibacter、Lachnoclostridium、Parabacteroides、Prevotella_9、Roseburia 和 Subdoligranulum 占主导地位。基于对整体微生物组变异的单变量分析，有 18 个匹配变量在两个队列中均具有显著关联。逐步冗余分析显示，有 4 个共同的协变量，Bristol 粪便量表（BSS）评分、性别、年龄和排便频率，与肠道微生物变异具有非冗余关联。
结论：我们对来自两个独立队列的健康日本个体的肠道微生物群进行了全面分析，并获得了可靠的证据，表明基于问卷的协变量，如排便频率和特定的饮食习惯，会影响肠道微生物群落的组成。据我们所知，这是第一项研究日本人群肠道微生物群相关的综合且非冗余因素的研究。
Compr Rev Food Sci Food Saf. 2025-3
Neuroscience. 2020-4-15
Cancer Sci. 2020-2-3
EBioMedicine. 2020-1-3
World J Mens Health. 2020-1
Zotero 插件
