Urinary IL-18 predicts progression of IgA nephropathy
Year: 2026
Type: article
Study design: Observational Study
Abstract: BACKGROUND: There is currently a lack of noninvasive biomarkers that effectively predict the progression of IgA nephropathy. We investigated the value of urinary IL-18 in predicting the progression of IgA nephropathy and whether its combination with clinical variables improved risk prediction. METHODS: A total of 136 patients with IgA nephropathy were followed up for a median of 36 months in four academic medical centers. The levels of three biomarkers, urinary IL-18, urinary KIM-1 and urinary NGAL, were measured via ELISA in patients with 136 IgA nephropathy. The progression of IgA nephropathy was defined as a > 50% decrease in the eGFR or end-stage kidney disease. Multivariate Cox regression analyses of urine biomarkers for predicting the progression of IgA nephropathy were performed, and the AUCs of the clinical prediction models were calculated. RESULTS: Kaplan-Meier analysis revealed that high levels (> 28.1 pg/mg of creatinine) of urinary IL-18 were associated with a significantly poor renal outcome (P < 0.01), and Cox analysis further confirmed this result. High levels of urinary IL-18 were associated with a 4.7-fold greater risk for IgA nephropathy progression in adjusted analyses. For predicting IgA nephropathy progression, urinary IL-18 yielded a C-statistic of 0.77 (95% CI, 0.67-0.86), renal injury molecule 1 yielded 0.75 (95% CI, 0.65-0.86), and uNGAL yielded 0.70 (95% CI, 0.59-0.80). Urinary IL-18 levels significantly improved the C statistic from 0.77 to 0.89, outperforming the clinical and MEST-C scores. CONCLUSION: Urinary IL-18 is a significant predictor of poor renal outcomes and improves the risk prediction of IgA nephropathy.
Source: BMC Nephrology
Authors: Yuhong Tang, Xiaolei Tao, ChunLin Huang, Siyuan Teng, Xin Lin, Jianwei Tian, Yating Liao, Jing Mei, Jun Ou
Language: English
Subfield: Nephrology
Field: Medicine
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $3,090
OpenAlex ID: W7150957236
