{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"volume":["11"],"submitter":["Song S"],"pubmed_abstract":["<h4>Objective</h4>Previous observational studies have suggested associations between various inflammatory cytokines with type 2 diabetes mellitus and diabetic nephropathy. However, the causal association remains uncertain.<h4>Method</h4>Summary statistics for type 2 diabetes mellitus and diabetic nephropathy were obtained from a publicly available genome-wide association study. Data on inflammatory cytokines were sourced from a genome-wide association study on protein quantitative trait loci. The inverse variance-weighted method was applied as the primary method for causal inference. MR-Egger, weighted mode, and weighted median method were employed as supplementary analyses. Sensitivity analyses were performed to detect heterogeneity and potential horizontal pleiotropy in the study.<h4>Res"],"journal":["Frontiers in medicine"],"pagination":["1459752"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC11580751"],"repository":["biostudies-literature"],"pubmed_title":["Association of inflammatory cytokines with type 2 diabetes mellitus and diabetic nephropathy: a bidirectional Mendelian randomization study."],"pmcid":["PMC11580751"],"pubmed_authors":["Ni J","Pu Q","Yan Q","Song S","Zhang L","Yu J","Sun Y"],"additional_accession":[]},"is_claimable":false,"name":"Association of inflammatory cytokines with type 2 diabetes mellitus and diabetic nephropathy: a bidirectional Mendelian randomization study.","description":"<h4>Objective</h4>Previous observational studies have suggested associations between various inflammatory cytokines with type 2 diabetes mellitus and diabetic nephropathy. However, the causal association remains uncertain.<h4>Method</h4>Summary statistics for type 2 diabetes mellitus and diabetic nephropathy were obtained from a publicly available genome-wide association study. Data on inflammatory cytokines were sourced from a genome-wide association study on protein quantitative trait loci. The inverse variance-weighted method was applied as the primary method for causal inference. MR-Egger, weighted mode, and weighted median method were employed as supplementary analyses. Sensitivity analyses were performed to detect heterogeneity and potential horizontal pleiotropy in the study.<h4>Res","dates":{"release":"2024-01-01T00:00:00Z","publication":"2024","modification":"2025-04-04T13:41:06.66Z","creation":"2025-04-04T13:41:06.66Z"},"accession":"S-EPMC11580751","cross_references":{"pubmed":["39574905"],"doi":["10.3389/fmed.2024.1459752"]}}