#AI Reads Urine# Urobiome of patients with diabetic kidney disease in different stages

This research focuses on the urinary microbiome of patients with diabetic kidney disease. Diabetic kidney disease is a severe complication of diabetes, yet its pathogenesis remains complex and not fully understood. The researchers applied the 2bRAD-M technique to examine the first-morning urine of 20 healthy individuals, 20 patients with type 2 diabetes, 20 patients with diabetic kidney disease with microalbuminuria, and 20 patients with diabetic kidney disease with macroalbuminuria.

The results indicated that the diversity of the urinary microbiome in patients with diabetic kidney disease was significantly lower compared to healthy individuals and those with type 2 diabetes. The dominant bacteria varied across different disease stages. For example, Escherichia was dominant in the microalbuminuria stage, while Pseudomonas_E became dominant in the macroalbuminuria stage. The study also identified indicator bacteria for different groups, and some bacteria were found to be associated with renal function indicators and urinary protein levels. Although this study provides new insights, it has limitations such as a small sample size and gender imbalance, and further research is needed.

J Transl Med. 2025 Apr 10;23(1):414. doi: 10.1186/s12967-025-06405-6.

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