Objective:

To evaluate and identify urinary biomarkers for the early diagnosis and staging of diabetic kidney disease (DKD).

Approach:

Key Findings:

• UTRF and UIgG demonstrated excellent diagnostic value with AUCs of 0.926 and 0.916, respectively.
• A combined model of 20 urinary amino acids showed outstanding diagnostic value (AUC = 0.928).
• SERPINA1 was identified as a key protein with exceptional diagnostic capability (AUC = 0.964).
• Among the amino acids, PRO showed the best diagnostic performance (AUC = 0.746).

Interpretation:

Traditional proteins, especially UTRF and UIgG, hold diagnostic value.

Limitations:

• The study's findings may not be generalizable beyond the specific population studied.
• Further validation in larger, diverse cohorts is necessary.

Conclusion:

This study identifies urinary SERPINA1 as a promising biomarker for DKD.

Attribution Notice

This content is an AI-generated, fully rewritten summary based on a published scholarly article. It does not reproduce the original text and is not a substitute for the original publication. Readers are encouraged to consult the source for full context, data, and methodology.