Work

Urinary Peptidomic Signature for Noninvasive Diagnosis of Alport Syndrome in Children

Year: 2026
Type: article
Abstract: Introduction: Early diagnosis of Alport syndrome (AS) in children remains challenging because early manifestations are nonspecific. Some clinically suspected cases remain genetically unresolved because no disease-causing variant has been identified or the variants identified are of uncertain significance. Urinary peptidomics is a promising noninvasive biomarker approach. We aimed to develop and validate a urinary peptidomic signature for pediatric AS. Methods: ) enrolled in EARLY PRO-TECT trial, along with 651 samples from pediatric kidney disease cohorts and healthy controls. The data set was randomly divided into discovery (70%) and validation (30%) cohorts. Differential peptides identified by Wilcoxon testing with Benjamini-Hochberg adjustment were used to develop a support vector machine classifier. Performance was assessed by cross-validation and application to the validation cohort. Results: A total of 151 discriminatory peptides were identified. Sequence information was available for 87 peptides used for classifier generation; 60.9% were collagen-derived. In validation, the classifier achieved an area under the receiver operating characteristic curve (AUC) of 0.999 (95% confidence interval [CI], 0.997-1.000), with 100% sensitivity, 97.4% specificity, and 98.2% accuracy. After adjustment for age, sex, and eGFR, performance remained high (adjusted AUC, 0.918 [95% CI, 0.884-0.951]). Longitudinal analyses demonstrated stable classifier scores over up to 3 years. Conclusion: We developed and validated an accurate urinary peptidomic classifier for noninvasive diagnosis of pediatric AS. The signature may complement genetic testing and support earlier recognition of AS.
Language: English
Subfield: Nephrology
Field: Medicine
Open Access status: gold
Estimated APC paid: $2,800
OpenAlex ID: W7214283502
FWCI:
Cites: 24
Cited by:
Related to: 10