Pivotal interplays between fecal metabolome and gut microbiome reveal functional signatures in cerebral ischemic stroke

作者：Lanlan Zhao, Cheng Wang, Shanxin Peng, Xiaosong Zhu, Ziyi Zhang, Yanyan Zhao, Jinling Zhang, Guoping Zhao, Tao Zhang, Xueyuan Heng, Lei Zhang · 发表于：Journal of Translational Medicine · 年份：2022 · DOI：10.1186/s12967-022-03669-0 · 被引用次数：47 · 研究领域：Gut microbiota and health、Metabolomics and Mass Spectrometry Studies、Epigenetics and DNA Methylation

BACKGROUND: Integrative analysis approaches of metagenomics and metabolomics have been widely developed to understand the association between disease and the gut microbiome. However, the different profiling patterns of different metabolic samples in the association analysis make it a matter of concern which type of sample is the most closely associated with gut microbes and disease. To address this lack of knowledge, we investigated the association between the gut microbiome and metabolomic profiles of stool, urine, and plasma samples from ischemic stroke patients and healthy subjects. METHODS: We performed metagenomic sequencing (feces) and untargeted metabolomics analysis (feces, plasma, and urine) from ischemic stroke patients and healthy volunteers. Differential analyses were conducted to find key differential microbiota and metabolites for ischemic stroke. Meanwhile, Spearman's rank correlation and linear regression analyses were used to study the association between microbiota and metabolites of different metabolic mixtures. RESULTS: Untargeted metabolomics analysis shows that feces had the most abundant features and identified metabolites, followed by urine and plasma. Feces had the highest number of differential metabolites between ischemic stroke patients and the healthy group. Based on the association analysis between metagenomics and metabolomics of fecal, urine, and plasma, fecal metabolome showed the strongest association with the gut microbiome. There are 1073, ...