ArticleInternational journal of general medicine2026
Potential Relationship Between Macrophage Inflammatory Protein-1β and Diabetic Kidney Disease: A Multi-Model Study.
Article in International journal of general medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Background: Inflammatory chemokines may participate in the progression of diabetic kidney disease (DKD). However, the clinical value of macrophage inflammatory protein-1β (MIP-1β) for identifying macroalbuminuria in DKD remains insufficiently defined. This study aims to construct a nomogram-based prediction model to evaluate MIP-1β level in predicting DKD progression. Methods: In this prospective, single-center observational study, 198 DKD patients and 198 type 2 diabetes mellitus patients without DKD were consecutively recruited from July 2021 to July 2023. DKD patients were stratified into microalbuminuria (A2, n=146) and macroalbuminuria (A3, n=52) groups. Multivariate logistic regression identified risk factors for macroalbuminuria. A nomogram incorporating significant variables was constructed and internally validated using bootstrap method. Model performance was evaluated via receiver operating characteristic (ROC) analysis and decision curve analysis. Results: MIP-1β levels were significantly higher in the DKD group than non-DKD group (78.88±21.18 vs 67.75±16.25 pg/mL, P<0.001). For predicting DKD, MIP-1β had an area under the ROC curve of 0.711 (95% CI: 0.661-0.762), with 62.6% sensitivity and 74.2% specificity. Independent risk factors for macroalbuminuria included MIP-1β (adjusted odds ratio=1.089, 95% CI: 1.052-1.127), urea nitrogen (1.694, 95% CI: 1.142-2.513), and cystatin C (7.728, 95% CI: 1.843-32.400). The nomogram incorporating these predictors achieved 88.5% sensitivity and 91.1% specificity, with C-index of 0.852 and good calibration. Conclusion: MIP-1β level is independently associated with macroalbuminuria in DKD patients. The nomogram model demonstrates high predictive value for macroalbuminuria and may assist risk stratification in DKD patients; however, external validation is required.
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