Revised: March 4, 2026
Accepted: April 9, 2026
Published online: September 25, 2026
Processing time: 185 Days and 21.3 Hours
The most common type of primary glomerulonephritis is immunoglobulin A nephropathy (IgAN), which can eventually cause end-stage kidney disease among individuals. A kidney biopsy, which is invasive and has risks of mortality or morbidity, is currently the “gold standard” for diagnosis. Urinary exosomes contain abundant, well-preserved microRNAs (miRNAs), which are small, non-coding endogenous RNAs that may be used as non-invasive biomarkers. Studies on urinary exosomal miRNA profiles for the diagnosis of IgAN are rare.
To examine the profile of urinary exosomal miRNAs in Indian individuals dia
Over a period of 4 years (2020-2024), fifty biopsy-confirmed IgAN patients, fifty healthy controls, and fifty disease controls (DC) were recruited. Urinary exosomes were first discovered and then utilized for miRNA extraction. The nCounter® Human v3 miRNA Expression Assay, a digital multiplex technique that evaluates 798 unique miRNA barcodes, was used to further analyze the extracted miRNAs. After the least absolute shrinkage and selection operator feature selection identified candidate miRNAs, logistic regression and the CombiROC algorithm were used.
The average age of patients diagnosed with IgAN was 36.32 years, with a standard deviation of 3.07 years. The average proteinuria was 2.69 ± 0.64 g/day, and the average creatinine level was 2.26 ± 0.318 mg/dL. Nine can
Our investigation involving Indian participants revealed a marked alteration in the urinary exosomal miRNA patterns among individuals with IgAN compared to both healthy subjects and those with other kidney diseases, demonstrating the effectiveness of miRNAs in the non-invasive diagnosis of IgAN.
Core Tip: This case-control study evaluates urinary exosomal microRNAs (miRNAs) as noninvasive biomarkers for diagnosing immunoglobulin A nephropathy (IgAN), the most common primary glomerulonephritis. In biopsy-proven IgAN, healthy controls, and diverse glomerular disease controls, a NanoString-based urinary exosomal miRNA panel was profiled, followed by least absolute shrinkage and selection operator feature selection, logistic regression, and combinatorial receiver operating characteristic analysis. A focused set of IgAN-associated miRNAs, and a minimal multi-miRNA combination, demonstrated good diagnostic performance to distinguish IgAN from both healthy individuals and other glomerular diseases, suggesting a potential future role for urine exosomal miRNA signatures in reducing reliance on invasive kidney biopsy.