Langsetmo L, Johnson A, Demmer R T, Fino N, Orwoll E S, Ensrud K E, Hoffman A R, Cauley J A, Shmagel A, Meyer K, Shikany J M
Lisa Langsetmo, University of Minnesota, Epidemiology and Community Health, 1300 S. 2nd St., Suite 300, Minneapolis, MN 55454, Phone: 612-467-1649; Fax: 612-467-2118, Email:
J Nutr Health Aging. 2019;23(6):538-546. doi: 10.1007/s12603-019-1194-x.
To determine the relationship between objectively measured physical activity (PA) and the gut microbiome among community-dwelling older men.
Cross-sectional study.
Osteoporotic Fractures in Men (MrOS) cohort participants at Visit 4 (2014-16).
Eligible men (n=373, mean age 84 y) included participants with 5-day activity assessment with at least 90% wear time and analyzed stool samples.
PA was measured with the SenseWear Pro3 Armband and stool samples analyzed for 16S v4 rRNA marker genes using Illumina MiSeq technology. Armband data together with sex, height, and weight were used to estimate total steps, total energy expenditure, and level of activity. 16S data was analyzed using standard UPARSE workflow. Shannon and Inverse Simpson indices were measures of (within-participant) α-diversity. Weighted and unweighted Unifrac were measures of (between-participant) β-diversity. We used linear regression analysis, principal coordinate analysis, zero-inflated Gaussian models to assess association between PA and α-diversity, β-diversity, and specific taxa, respectively, with adjustments for age, race, BMI, clinical center, library size, and number of chronic conditions.
PA was not associated with α-diversity. There was a slight association between PA and β-diversity (in particular the second principal coordinate). Compared to those who were less active, those who had higher step counts had higher relative abundance of Cetobacterium and lower relative abundance of taxa from the genera Coprobacillus, Adlercreutzia, Erysipelotrichaceae CC-115 after multivariable adjustment including age, BMI, and chronic conditions. There was no consistent pattern by phylum.
There was a modest association between levels of PA and specific gut microbes among community-dwelling older men. The observed associations are consistent with the hypothesis that underlying health status and composition of the host microbiome are related.
确定社区居住老年男性中客观测量的身体活动（PA）与肠道微生物群之间的关系。
横断面研究。
男性骨质疏松性骨折（MrOS）队列研究第4次访视（2014 - 2016年）的参与者。
符合条件的男性（n = 373，平均年龄84岁）包括进行了5天活动评估且佩戴时间至少达90%的参与者以及分析过粪便样本的参与者。
使用SenseWear Pro3臂带测量PA，并使用Illumina MiSeq技术分析粪便样本中的16S v4 rRNA标记基因。臂带数据连同性别、身高和体重用于估计总步数、总能量消耗和活动水平。使用标准的UPARSE工作流程分析16S数据。香农指数和反辛普森指数是（参与者内）α多样性的度量指标。加权和非加权的UniFrac是（参与者间）β多样性的度量指标。我们分别使用线性回归分析、主坐标分析、零膨胀高斯模型来评估PA与α多样性、β多样性和特定分类群之间的关联，并对年龄、种族、体重指数、临床中心、文库大小和慢性病数量进行了调整。
PA与α多样性无关。PA与β多样性之间存在轻微关联（特别是第二主坐标）。在包括年龄、体重指数和慢性病在内的多变量调整后，与活动较少的人相比，步数较多的人梭杆菌的相对丰度较高，而来自粪杆菌属、阿德勒克雷茨菌属、丹毒丝菌科CC - 115的分类群相对丰度较低。按门分类没有一致的模式。
社区居住老年男性的PA水平与特定肠道微生物之间存在适度关联。观察到的关联与宿主微生物群的潜在健康状况和组成相关这一假设一致。
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