Background: Diabetic Kidney Disease (DKD) is a serious complication of diabetes. Identifying high-risk DKD patients can lead to better clinical outcomes.This study aimed to investigate the relevance of three potential predictive markers for DKD: Kidney Injury Molecule-1 (KIM-1), Tumor Necrosis Factor Receptor 1 (TNFR1), and urinary albumin-to-creatinine ratio (ACR).We recruited 120 participants, including 30 individuals with type 2 diabetes (T2D) but no renal complications, 30 with DKD, and 60 healthy controls. Blood and urine analyses were performed to assess lipid and liver parameters, ACR, and estimated glomerular filtration rate (eGFR). Plasma levels of KIM-1 and TNFR1 were measured using the sandwich ELISA method.The results demonstrated that KIM-1 (p = 0.008) and TNFR1 (p = 0.006) levels were significantly higher in individuals with T2D compared to the controls and even more elevated in those with DKD (p = 0.003 and p = 0.000, respectively). KIM-1 (p = 0.000) and TNFR1 (p = 0.001) levels were significantly elevated in individuals with T2D without elevated albuminuria compared to control. KIM-1 and TNFR1 exhibited correlations with ACR (r = 0.400; p = 0.002 and r = 0.607; p = 0.000, respectively) and eGFR (r = -0.425; p = 0.001 and r = -0.661; p = 0.000, respectively). The ROC curve analysis revealed an area under the curve (AUC) of 0.91 for TNFR1, 0.76 for KIM-1, and 0.95 for ACR. However, the ACR, KIM-1, and TNFR1 combination showed the best predictive performance with an AUC of 0.98.Plasma levels of KIM-1 and TNFR1 are promising biomarkers for predicting kidney disease in individuals with diabetes, and their combination with ACR improves the overall diagnostic accuracy.Objective: Diabetic Kidney Disease (DKD) is a serious complication of diabetes. Identifying high-risk DKD patients can lead to better clinical outcomes.This study aimed to investigate the relevance of three potential predictive markers for DKD: Kidney Injury Molecule-1 (KIM-1), Tumor Necrosis Factor Receptor 1 (TNFR1), and urinary albumin-to-creatinine ratio (ACR).We recruited 120 participants, including 30 individuals with type 2 diabetes (T2D) but no renal complications, 30 with DKD, and 60 healthy controls. Blood and urine analyses were performed to assess lipid and liver parameters, ACR, and estimated glomerular filtration rate (eGFR). Plasma levels of KIM-1 and TNFR1 were measured using the sandwich ELISA method.The results demonstrated that KIM-1 (p = 0.008) and TNFR1 (p = 0.006) levels were significantly higher in individuals with T2D compared to the controls and even more elevated in those with DKD (p = 0.003 and p = 0.000, respectively). KIM-1 (p = 0.000) and TNFR1 (p = 0.001) levels were significantly elevated in individuals with T2D without elevated albuminuria compared to control. KIM-1 and TNFR1 exhibited correlations with ACR (r = 0.400; p = 0.002 and r = 0.607; p = 0.000, respectively) and eGFR (r = -0.425; p = 0.001 and r = -0.661; p = 0.000, respectively). The ROC curve analysis revealed an area under the curve (AUC) of 0.91 for TNFR1, 0.76 for KIM-1, and 0.95 for ACR. However, the ACR, KIM-1, and TNFR1 combination showed the best predictive performance with an AUC of 0.98.Plasma levels of KIM-1 and TNFR1 are promising biomarkers for predicting kidney disease in individuals with diabetes, and their combination with ACR improves the overall diagnostic accuracy.Methods: Diabetic Kidney Disease (DKD) is a serious complication of diabetes. Identifying high-risk DKD patients can lead to better clinical outcomes.This study aimed to investigate the relevance of three potential predictive markers for DKD: Kidney Injury Molecule-1 (KIM-1), Tumor Necrosis Factor Receptor 1 (TNFR1), and urinary albumin-to-creatinine ratio (ACR).We recruited 120 participants, including 30 individuals with type 2 diabetes (T2D) but no renal complications, 30 with DKD, and 60 healthy controls. Blood and urine analyses were performed to assess lipid and liver parameters, ACR, and estimated glomerular filtration rate (eGFR). Plasma levels of KIM-1 and TNFR1 were measured using the sandwich ELISA method.The results demonstrated that KIM-1 (p = 0.008) and TNFR1 (p = 0.006) levels were significantly higher in individuals with T2D compared to the controls and even more elevated in those with DKD (p = 0.003 and p = 0.000, respectively). KIM-1 (p = 0.000) and TNFR1 (p = 0.001) levels were significantly elevated in individuals with T2D without elevated albuminuria compared to control. KIM-1 and TNFR1 exhibited correlations with ACR (r = 0.400; p = 0.002 and r = 0.607; p = 0.000, respectively) and eGFR (r = -0.425; p = 0.001 and r = -0.661; p = 0.000, respectively). The ROC curve analysis revealed an area under the curve (AUC) of 0.91 for TNFR1, 0.76 for KIM-1, and 0.95 for ACR. However, the ACR, KIM-1, and TNFR1 combination showed the best predictive performance with an AUC of 0.98.Plasma levels of KIM-1 and TNFR1 are promising biomarkers for predicting kidney disease in individuals with diabetes, and their combination with ACR improves the overall diagnostic accuracy.Results: Diabetic Kidney Disease (DKD) is a serious complication of diabetes. Identifying high-risk DKD patients can lead to better clinical outcomes.This study aimed to investigate the relevance of three potential predictive markers for DKD: Kidney Injury Molecule-1 (KIM-1), Tumor Necrosis Factor Receptor 1 (TNFR1), and urinary albumin-to-creatinine ratio (ACR).We recruited 120 participants, including 30 individuals with type 2 diabetes (T2D) but no renal complications, 30 with DKD, and 60 healthy controls. Blood and urine analyses were performed to assess lipid and liver parameters, ACR, and estimated glomerular filtration rate (eGFR). Plasma levels of KIM-1 and TNFR1 were measured using the sandwich ELISA method.The results demonstrated that KIM-1 (p = 0.008) and TNFR1 (p = 0.006) levels were significantly higher in individuals with T2D compared to the controls and even more elevated in those with DKD (p = 0.003 and p = 0.000, respectively). KIM-1 (p = 0.000) and TNFR1 (p = 0.001) levels were significantly elevated in individuals with T2D without elevated albuminuria compared to control. KIM-1 and TNFR1 exhibited correlations with ACR (r = 0.400; p = 0.002 and r = 0.607; p = 0.000, respectively) and eGFR (r = -0.425; p = 0.001 and r = -0.661; p = 0.000, respectively). The ROC curve analysis revealed an area under the curve (AUC) of 0.91 for TNFR1, 0.76 for KIM-1, and 0.95 for ACR. However, the ACR, KIM-1, and TNFR1 combination showed the best predictive performance with an AUC of 0.98.Plasma levels of KIM-1 and TNFR1 are promising biomarkers for predicting kidney disease in individuals with diabetes, and their combination with ACR improves the overall diagnostic accuracy.Conclusion: Diabetic Kidney Disease (DKD) is a serious complication of diabetes. Identifying high-risk DKD patients can lead to better clinical outcomes.This study aimed to investigate the relevance of three potential predictive markers for DKD: Kidney Injury Molecule-1 (KIM-1), Tumor Necrosis Factor Receptor 1 (TNFR1), and urinary albumin-to-creatinine ratio (ACR).We recruited 120 participants, including 30 individuals with type 2 diabetes (T2D) but no renal complications, 30 with DKD, and 60 healthy controls. Blood and urine analyses were performed to assess lipid and liver parameters, ACR, and estimated glomerular filtration rate (eGFR). Plasma levels of KIM-1 and TNFR1 were measured using the sandwich ELISA method.The results demonstrated that KIM-1 (p = 0.008) and TNFR1 (p = 0.006) levels were significantly higher in individuals with T2D compared to the controls and even more elevated in those with DKD (p = 0.003 and p = 0.000, respectively). KIM-1 (p = 0.000) and TNFR1 (p = 0.001) levels were significantly elevated in individuals with T2D without elevated albuminuria compared to control. KIM-1 and TNFR1 exhibited correlations with ACR (r = 0.400; p = 0.002 and r = 0.607; p = 0.000, respectively) and eGFR (r = -0.425; p = 0.001 and r = -0.661; p = 0.000, respectively). The ROC curve analysis revealed an area under the curve (AUC) of 0.91 for TNFR1, 0.76 for KIM-1, and 0.95 for ACR. However, the ACR, KIM-1, and TNFR1 combination showed the best predictive performance with an AUC of 0.98.Plasma levels of KIM-1 and TNFR1 are promising biomarkers for predicting kidney disease in individuals with diabetes, and their combination with ACR improves the overall diagnostic accuracy. [ABSTRACT FROM AUTHOR]