#AI reads Urine#Insights into Renal Protein Handling Through GWAS of the Human Urine Proteome

This study conducted a genome-wide association analysis on urine samples from 1,246 participants of European ancestry, examining the associations between nearly 3,000 urinary proteins and over 9 million genetic variants. It identified 174 genetic loci significantly correlated with urinary protein levels, most of which are close to the encoding genes of the corresponding proteins and are mostly variants that can alter protein structure. Among these associations, 122 share a common genetic basis with plasma proteins, while 38 are unique to urine. Notably, variants in the CUBN and LRP2 genes, which encode the receptor complex crucial for renal protein reabsorption, are associated with more than 20 urinary proteins each. The level of prostate stem cell antigen in urine can accurately reflect the relevant genotype, and this genotype is linked to the risk of diseases such as bladder cancer and urinary tract infections, demonstrating the potential of urinary proteins as biomarkers for genetic susceptibility to diseases. The study also integrated data from gene expression, metabolomics, and other fields to construct a genetic framework for renal protein handling, and developed a publicly accessible web tool, providing new resources for research on kidney-related mechanisms and disease diagnosis.

https://www.medrxiv.org/content/10.64898/2025.12.08.25341835v1

DOI： 10.64898/2025.12.08.25341835

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/