#AI reads Urine# HLA and non-HLA antibody profiling in the urine of kidney transplant recipients

This study is the first to employ high-throughput microarray technology to detect HLA and non-HLA IgG antibodies in the urine of 45 kidney transplant patients (including those with acute rejection, chronic allograft nephropathy, BK virus nephropathy, and stable graft function) and 5 healthy individuals. It identified a variety of specific antibodies associated with transplant kidney injury, with distinct antibody signatures for different types of injury. These antibodies are correlated with antigens in specific kidney regions, showing no direct association with antibodies in the blood or protein content in the urine. The findings provide important evidence for the development of non-invasive, personalized biomarkers for the early monitoring of transplant kidney injury. However, the study has a small sample size and requires validation in larger-scale research.

Expert Rev Proteomics. 2025 Dec 22. doi: 10.1080/14789450.2025.2606067.

Youhe Gao

Statement: During the preparation of this work the author(s) used Chat GPT / 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/