#AI reads Urine# Urine Proteomics Identifies Biomarkers for Diagnosis and Fibrosis Severity in Pediatric Chronic Pancreatitis

This study identified 34 differentially expressed proteins between pediatric chronic pancreatitis (CP) patients and controls through urine proteomics analysis, among which isocitrate dehydrogenase (IDH1), calcyphosin (CAPS), synuclein gamma (SNCG), and S100P protein exhibited significantly higher diagnostic efficacy than existing blood-based biomarkers, with their ROC-AUC values all exceeding 0.95. The study further constructed a 12-protein urine detection panel, which achieved a linear correlation coefficient R² of 0.61 in predicting the severity of pancreatic fibrosis. As a non-invasive detection method, this panel can reduce the reliance on invasive biopsies, providing a new tool for the early diagnosis and disease monitoring of pediatric CP. Meanwhile, it also offers references for exploring the correlation mechanism between CP and pancreatic cancer.

Clin Transl Gastroenterol. 2026 Jan 28. doi: 10.14309/ctg.0000000000000981.

Youhe Gao

Statement: During the preparation of this work the author(s) used Doubao / AI reading for summarizing the content. After using this tool/service, the author(s) reviewed and edited the content as needed and take(s) full responsibility for the content of the published article.

For earlier AI Reads Urine articles：

https://www.keaipublishing.com/en/journals/advances-in-biomarker-sciences-and-technology/ai-reads-urine/