UNASSIGNED: Using gut microbiome data from the International MiBioGen Consortium genome-wide association study (GWAS) and T2DM microvascular complications data from the FinnGen Consortium GWAS to perform MR analyses. Single nucleotide polymorphisms (SNPs) were selected as instrumental variables (IVs), the inverse variance weighting (IVW) method was used as the primary analysis method, and the results were tested for heterogeneity and horizontal pleiotropy.
UNASSIGNED: Our research identified that there are 5 known microbial species and 2 unknown microbial species in the gut microbiome that were causally related to T2DM retinopathy. Besides, three and seven known microbial species causal relationships between the gut microbiome and T2DM neuropathy and T2DM nephropathy, respectively.
UNASSIGNED: Using MR methods, we demonstrated the causal relationship between gut microbiome and microvascular complications in T2DM, providing a new strategy for the prevention and treatment of it.
使用来自国际MiBioGen联盟全基因组关联研究(GWAS)的肠道微生物组数据和来自FinnGen联盟GWAS的T2DM微血管并发症数据进行MR分析。选择单核苷酸多态性(SNPs)作为工具变量(IVs),采用方差逆加权(IVW)方法作为主要分析方法,并对结果进行了异质性和水平多效性测试。
■我们的研究发现,肠道微生物组中有5种已知的微生物种类和2种未知的微生物种类与T2DM视网膜病变有因果关系。此外,3种和7种已知的肠道微生物与T2DM神经病变和T2DM肾病之间的因果关系,分别。
■使用MR方法,我们证明了肠道菌群与T2DM微血管并发症之间的因果关系,为预防和治疗提供了新的策略。