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Diagnostic Potential of Dp‐ucMGP as a Biomarker for Early Detection of Diabetic Kidney Disease in Patients With Type 2 Diabetes Mellitus: A Cross‐Sectional Study

微量白蛋白尿 医学 肌酐 内科学 接收机工作特性 胃肠病学 糖尿病 2型糖尿病 生物标志物 肾功能 曲线下面积 尿酸 内分泌学 泌尿科 生物化学 化学
作者
Hoda Farazul,Mawrah Arshad,Mohammad Ahmed Khan,Mohammad Anwar Habib,Abul Kalam Najmi
出处
期刊:Nephrology [Wiley]
卷期号:30 (5)
标识
DOI:10.1111/nep.70050
摘要

ABSTRACT Aim The limited evidence reports the relationship between plasma dephosphorylated uncarboxylated matrix Gla protein (dp‐ucMGP) and Diabetic kidney disease (DKD) in patients with Type 2 Diabetes Mellitus (T2DM). Therefore, the present study aimed to evaluate the diagnostic potential of dp‐ucMGP in DKD among T2DM patients. Method This cross‐sectional study was conducted from December 2023 to January 2025, including 75 T2DM patients. Participants were classified into three groups based on urinary albumin‐to‐creatinine ratio (UACR): Normoalbuminuria, microalbuminuria, and macroalbuminuria with n = 25 in each group. Pearson correlation analysis was performed to assess the relationship between dp‐ucMGP and other biochemical parameters. Receiver Operating Characteristic (ROC) curve analysis was used to evaluate the diagnostic potential of dp‐ucMGP for early detection of DKD. A p value < 0.05 was considered statistically significant. Results The plasma dp‐ucMGP levels were significantly higher in T2DM patients in the macroalbuminuria group, with a mean of 1069.86 ± 417.56 pmol/L, followed by the microalbuminuria (842.72 ± 342.02 pmol/L) and normoalbuminuria (586.38 ± 336.15 pmol/L) groups. Similarly, higher dp‐ucMGP levels were observed in patients with DKD severity stage IV (1401.53 ± 401.49 pmol/L). A negative correlation with eGFR ( r = −0.807, p < 0.0001) and a positive correlation with age, serum creatinine, UACR, blood urea, uric acid and triglycerides were observed. The area under the curve (AUC) was 0.913 (95% CI: 0.820–0.960; p < 0.0001) for dp‐ucMGP. Conclusion In conclusion, our findings revealed that plasma dp‐ucMGP could be a potential biomarker to predict the early detection of DKD in patients with T2DM.
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