肠道菌群
微生物群
医学
肠道微生物群
2型糖尿病
肠道通透性
生物信息学
疾病
失调
脂质代谢
糖尿病
计算生物学
免疫学
生物
内科学
内分泌学
作者
Xinyi Fang,Yanjiao Zhang,Xinyue Huang,Runyu Miao,Yuxin Zhang,Jiaxing Tian
摘要
Abstract The high prevalence and disability rate of type 2 diabetes (T2D) caused a huge social burden to the world. Currently, new mechanisms and therapeutic approaches that may affect this disease are being sought. With in‐depth research on the pathogenesis of T2D and growing advances in microbiome sequencing technology, the association between T2D and gut microbiota has been confirmed. The gut microbiota participates in the regulation of inflammation, intestinal permeability, short‐chain fatty acid metabolism, branched‐chain amino acid metabolism and bile acid metabolism, thereby affecting host glucose and lipid metabolism. Interventions focusing on the gut microbiota are gaining traction as a promising approach to T2D management. For example, dietary intervention, prebiotics and probiotics, faecal microbiota transplant and phage therapy. Meticulous experimental design and choice of analytical methods are crucial for obtaining accurate and meaningful results from microbiome studies. How to design gut microbiome research in T2D and choose different machine learning methods for data analysis are extremely critical to achieve personalized precision medicine.
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