Association of physical activity with gut microbiome among low-income black American adults in the Southern Community Cohort Study.

Gut microbes reports Pub Date : 2025-11-30 eCollection Date: 2025-01-01 DOI:10.1080/29933935.2025.2589861
Jiajun Shi, Sang Minh Nguyen, Danxia Yu, Lei Wang, Lili Liu, Hui Cai, Jie Wu, Jirong Long, Qiuyin Cai, Martha J Shrubsole, Wei Zheng, Xiao-Ou Shu
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Abstract

Physical activity (PA) has been suggested to influence the gut microbiome. We evaluated this association among low-income Black American adults. This study included 489 self-identified Black American participants from the Southern Community Cohort Study. PA data, including exercise/sport- and work/home-related moderate-vigorous PA (MVPA), was collected at cohort enrollment (2002-2009). Stool samples were collected between 2018 and 2021, and microbial composition was profiled using shotgun metagenomic sequencing. General linear regression models were employed to evaluate associations between PA and gut microbial α-diversity, abundance of individual species and metabolic pathways. Among all participants, MVPA measures were not associated with Shannon α-diversity (p > 0.05) and explained approximately 0.2-0.3% variation of Bray-Curtis dissimilarity. A total of 32 bacterial species, including seven Bacteroides species, two Streptococcus species, two Prevotella species, and nine microbial metabolic pathways, including D-fucofuranose biosynthesis, xyloglucan degradation, biosynthesis of L-citrulline, L-aspartate and L-asparagine biosynthesis, and urea cycle, were significantly associated with work/home-related and/or total MVPA (all false discovery rates < 0.10). In conclusion, MVPA, particularly from work and home activities, may modulate the composition and functionality of the gut microbiome among Black American adults.

南方社区队列研究中低收入美国黑人成年人的身体活动与肠道微生物组的关系
体力活动(PA)已被认为可以影响肠道微生物群。我们在低收入的美国黑人成年人中评估了这种关联。这项研究包括来自南方社区队列研究的489名自认为是美国黑人的参与者。在队列入组时(2002-2009)收集了PA数据,包括与运动/运动和工作/家庭相关的中度剧烈PA (MVPA)。在2018年至2021年期间收集粪便样本,并使用霰弹枪宏基因组测序分析微生物组成。采用一般线性回归模型评估PA与肠道微生物α-多样性、个体物种丰度和代谢途径之间的关系。在所有参与者中,MVPA测量与Shannon α-多样性无关(p > 0.05),并解释了大约0.2-0.3%的Bray-Curtis差异。共有32种细菌,包括7种拟杆菌、2种链球菌、2种普雷沃氏菌,以及9种微生物代谢途径,包括d -氟藻糖的生物合成、木葡聚糖的降解、l -瓜氨酸的生物合成、l -天冬氨酸和l -天冬氨酸的生物合成以及尿素循环,与工作/家庭相关和/或总MVPA(均为错误发现率)显著相关
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