Comprehensive Mendelian randomization analysis of inflammatory networks in diabetic nephropathy and pituitary adenoma: unveiling complex causal relationships

The intricate relationships between inflammatory pathways, diabetic nephropathy, and pituitary adenomas remain poorly understood. This study aimed to comprehensively investigate the causal associations between inflammatory factors, diabetic nephropathy, and pituitary adenoma risk using Mendelian randomization approaches. We conducted a systematic Mendelian randomization analysis employing multiple statistical methods including inverse variance weighted (IVW), MR-Egger, and weighted mode approaches. A comprehensive inflammatory factor profile encompassing cytokines, chemokines, growth factors, and immunoregulatory molecules was analyzed. Sensitivity analyses including scatter plots and funnel plots were performed to validate the robustness of causal inferences. The panoramic analysis revealed distinct inflammatory signatures associated with disease risk. For pituitary adenomas, Neurotrophin-3 demonstrated significant protective effects (OR = 0.754, 95% CI: 0.583-0.975, P = 0.031), while programmed cell death 1 ligand emerged as a risk factor (OR = 1.320, 95% CI: 1.016-1.714, P = 0.037). Regarding diabetic nephropathy, six inflammatory factors showed significant associations: CX3C-motif chemokine 1 (OR = 0.514, P = 0.049), interleukin-13 (OR = 0.822, P = 0.014), TNF-beta (OR = 0.903, P = 0.011), and TNF-related activation-induced cytokine (OR = 0.905, P = 0.037) exhibited protective effects, whereas macrophage colony-stimulating factor (OR = 1.175, P = 0.026) and matrix metalloproteinase-10 (OR = 1.142, P = 0.030) increased disease risk. Notably, no significant causal relationship was observed between diabetic nephropathy and pituitary adenoma risk across all analytical methods. This comprehensive Mendelian randomization analysis reveals complex, disease-specific inflammatory networks underlying diabetic nephropathy and pituitary adenoma pathogenesis.