Biomedicines
Identification of Genes Associated with Gut Microbiota Metabolites in Type 2 Diabetes Mellitus Complicated by Acute Cerebral Infarction Based on Bioinformatics and Mendelian Randomization
By Zhang G, Ju J, Zhang R and 4 others.
Abstract
Background
Type 2 diabetes mellitus (T2DM) and acute cerebral infarction (ACI) are globally prevalent diseases that impose substantial public health burdens. While gut microbiota (GM) is increasingly recognized to regulate metabolic and immune homeostasis linked to both diseases, its shared genetically predicted microbial taxa and underlying metabolite-gene regulatory mechanisms in T2DM and ACI remain unclear, highlighting the need for systematic investigation. Accordingly, this study aimed to elucidate their regulatory mechanisms.
Methods
Transcriptomic datasets, genome-wide association study (GWAS) data, and GM data were retrieved from public databases. Key microbial taxa were identified using two-sample Mendelian randomization (MR) and 16S rRNA sequencing. Metabolite-target genes (MTGs) were predicted via public databases. Key metabolites were screened based on Lipinski's rules and low toxicity, and key genes were prioritized by molecular docking. Regulatory networks and potential drugs were predicted using public databases.