Yale Institute for Network Science, Yale University, New Haven, CT, USA; Department of Biomedical Engineering, Yale University, New Haven, CT, USA.
Yale Institute for Network Science, Yale University, New Haven, CT, USA.
Cell Rep. 2024 Jul 23;43(7):114442. doi: 10.1016/j.celrep.2024.114442. Epub 2024 Jul 4.
Despite a growing interest in the gut microbiome of non-industrialized countries, data linking deeply sequenced microbiomes from such settings to diverse host phenotypes and situational factors remain uncommon. Using metagenomic data from a community-based cohort of 1,871 people from 19 isolated villages in the Mesoamerican highlands of western Honduras, we report associations between bacterial species and human phenotypes and factors. Among them, socioeconomic factors account for 51.44% of the total associations. Meta-analysis of species-level profiles across several datasets identified several species associated with body mass index, consistent with previous findings. Furthermore, the inclusion of strain-phylogenetic information modifies the overall relationship between the gut microbiome and the phenotypes, especially for some factors like household wealth (e.g., wealthier individuals harbor different strains of Eubacterium rectale). Our analysis suggests a role that gut microbiome surveillance can play in understanding broad features of individual and public health.
尽管人们对非工业化国家的肠道微生物组越来越感兴趣,但将这些环境中深度测序的微生物组与宿主表型和情境因素联系起来的数据仍然很少见。本研究使用来自洪都拉斯西部中美洲高地 19 个孤立村庄的基于社区的 1871 人组成的队列的宏基因组数据,报告了细菌物种与人类表型和因素之间的关联。其中,社会经济因素占总关联的 51.44%。对几个数据集的物种水平图谱的荟萃分析确定了与体重指数相关的几种物种,这与之前的发现一致。此外,包含菌株-系统发育信息会改变肠道微生物组与表型之间的整体关系,特别是对于一些因素,如家庭财富(例如,较富裕的个体携带不同的直肠真杆菌菌株)。我们的分析表明,肠道微生物组监测可以在理解个人和公共卫生的广泛特征方面发挥作用。