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Alterations of the Gut Microbiome Composition and Lipid Metabolic Profile in Radiation Enteritis

脂类学 失调 生物 肠道菌群 厚壁菌 微生物群 代谢组学 代谢组 拟杆菌 脂质代谢 微生物学 免疫学 生物信息学 细菌 生物化学 遗传学 16S核糖体RNA
作者
Yiyi Li,Hongmei Yan,Yao-Wei Zhang,Ping Fang,Lu Yu,Qianyu Li,Cuiting Liu,Yuwen Xie,Keli Chen,Feng Ye,Kai Wang,Longhua Chen,Yi Ding
出处
期刊:Frontiers in Cellular and Infection Microbiology [Frontiers Media]
卷期号:10 被引量:61
标识
DOI:10.3389/fcimb.2020.541178
摘要

Radiation enteritis (RE) is a common complication in cancer patients receiving radiotherapy. Although studies have shown the changes of this disease at clinical, pathological and other levels, the dynamic characteristics of local microbiome and metabolomics are hitherto unknown. We aimed to examine the multi-omics features of the gut microecosystem, determining the functional correlation between microbiome and lipid metabolites during RE activity. By delivering single high-dose irradiation, a RE mouse model was established. High-throughput16S rDNA sequencing and global lipidomics analysis were performed to examine microbial and lipidomic profile changes in the gut microecosystem. Spearman correlation analysis was used to determine the functional correlation between bacteria and metabolites. Clinical samples were collected to validate the above observations. During RE activity, the intestinal inflammation of the mice was confirmed by typical signs, symptoms, imaging findings and pathological evidences. 16S datasets revealed that localised irradiation dramatically altered the gut microbial composition, resulting in a decrease ratio of Bacteroidetes to Firmicutes. Lipidomics analysis indicated the remarkable lipidomic profile changes in enteric epithelial barrier, determining that glycerophospholipids metabolism was correlated to RE progression with the highest relevance. Spearman correlation analysis identified that 5 bacteria-metabolite pairs showed the most significant functional correlation in RE, including Alistipes-PC(36:0e), Bacteroides-DG(18:0/20:4), Dubosiella-PC(35:2), Eggerthellaceae-PC(35:6), Escherichia-Shigella-TG(18:2/18:2/20:4). These observations were partly confirmed in human specimens. Our study provided a comprehensive description of microbiota dysbiosis and lipid metabolic disorders in RE, suggesting strategies to change local microecosystem to relieve radiation injury and maintain homeostasis.
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