<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><volume>11</volume><submitter>Song S</submitter><pubmed_abstract>&lt;h4>Objective&lt;/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.&lt;h4>Method&lt;/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.&lt;h4>Res</pubmed_abstract><journal>Frontiers in medicine</journal><pagination>1459752</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC11580751</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>Association of inflammatory cytokines with type 2 diabetes mellitus and diabetic nephropathy: a bidirectional Mendelian randomization study.</pubmed_title><pmcid>PMC11580751</pmcid><pubmed_authors>Ni J</pubmed_authors><pubmed_authors>Pu Q</pubmed_authors><pubmed_authors>Yan Q</pubmed_authors><pubmed_authors>Song S</pubmed_authors><pubmed_authors>Zhang L</pubmed_authors><pubmed_authors>Yu J</pubmed_authors><pubmed_authors>Sun Y</pubmed_authors></additional><is_claimable>false</is_claimable><name>Association of inflammatory cytokines with type 2 diabetes mellitus and diabetic nephropathy: a bidirectional Mendelian randomization study.</name><description>&lt;h4>Objective&lt;/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.&lt;h4>Method&lt;/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.&lt;h4>Res</description><dates><release>2024-01-01T00:00:00Z</release><publication>2024</publication><modification>2025-04-04T13:41:06.66Z</modification><creation>2025-04-04T13:41:06.66Z</creation></dates><accession>S-EPMC11580751</accession><cross_references><pubmed>39574905</pubmed><doi>10.3389/fmed.2024.1459752</doi></cross_references></HashMap>