江西地区2型糖尿病患者肠道菌群结构差异性分析及对疾病的鉴别效能  

Gut microbiota signature and its discriminative efficacy in patients with type 2 diabetes mellitus

作　　者：谢勇丽[1] 张雅薇[1] 赖轻舟 XIE Yongli;ZHANG Yawei;LAI Qingzhou(Department of Endocrinology,Pingxiang People's Hospital,Pingxiang,Jiangxi 337055,China)

机构地区：[1]萍乡市人民医院,江西337055

出　　处：《中国微生态学杂志》2024年第10期1155-1162,共8页Chinese Journal of Microecology

基　　金：江西省重点研发项目(20202BBGL73023)。

摘　　要：目的 本研究聚焦于描述江西地区健康人群和2型糖尿病(T2DM)患者的肠道菌群结构和分布,并寻找T2DM相关的有益菌和有害菌,进一步探索肠道菌群与T2DM发生发展的因果关联的潜在靶点。同时根据随机森林原则构建健康人与T2DM患者的肠道菌群鉴别模型,开发T2DM的早期诊断策略。方法采用16S rRNA基因测序和随机森林原则,探索江西地区健康个体和T2DM患者肠道菌群的组成和分布,并建立T2DM患者的识别模型。结果 研究结果显示本地区T2DM患者与健康受试者肠道菌群的alpha多样性无显著差异,beta多样性存在显著差异。我们鉴定了在T2DM患者中显著富集的菌属,并基于这些差异菌属使用随机森林原则构建了T2DM患者的鉴别模型,其鉴别效能高达0.958。结论 通过评估肠道菌群的丰度,并确定与T2DM相关的细菌菌群相关的潜在新靶标,证明了监测肠道健康的效用。肠道菌群的开发为T2DM的早期风险评估提供了广阔的前景。Objective This study focuses on describing the structure and distribution of gut microbiota in healthy individuals and patients with type 2 diabetes mellitus(T2DM) in Jiangxi,China,and identifying beneficial and harmful bacteria associated with T2DM.Furthermore,it aims to explore potential targets for causal relationships between gut microbiota and the onset and progression of T2DM.Additionally,based on the Random Forest principle,a discriminative model for gut microbiota between healthy individuals and T2DM patients will be constructed,with the intention of developing early diagnostic strategies for T2DM.Methods 16S rRNA gene sequencing and random forest method were used to explore the composition and distribution of intestinal flora in both healthy individuals and patients with T2DM in Jiangxi,China and develop an identification model for patients with T2DM.Results There was no significant difference in the α-diversity of intestinal flora between patients with T2DM and healthy subjects in the region.However,there was a significant difference in the β-diversity.We identified the bacterial genera that were significantly enriched in patients with T2DM,constructed a discriminative model for patients with T2DM based on these differential genera using the random forest method,and achieved a high discriminative efficacy of 0.958.Conclusion This study demonstrates the utility of intestinal health monitoring by assessing the abundance of fecal bacteria and identifying potential new targets linked to T2DM-related bacterial flora.The development of gut microbiota offers promising prospects for early risk assessment of T2DM.

关 键 词：2型糖尿病 肠道菌群 多样性 随机森林模型 

分 类 号：R587.1[医药卫生—内分泌]