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The association of RBP4 with chronic kidney diseases in southern Chinese population
Tong Chen1,2,3, Yu Liu1,2, Shiquan Wu1
1Department of Nephrology, South China Hospital of Shenzhen University, Shenzhen, China.
Background:
Retinol binding protein 4 (RBP4), as a novel adipokine, has been proven to be highly related to insulin resistance, obesity, diabetes, hypertension, hyperuricemia and other metabolic diseases, which are all risk factors for chronic kidney disease (CKD). However, there is a lack of sufficient studies to explore the relationship between RBP4 and CKD, and no reports have described the predictive value of RBP4 for CKD. This study was designed to clarify the relationship between RBP4 and CKD and its potential predictive value.
Methods:
Our team has conducted a large-scale cross-sectional survey that contained 2117 individuals on the southern coast of China. Correlation test, logistic regression analysis were used to evaluate the association between RBP4 and CKD. Receiver operating characteristic (ROC) were used to evaluate the optimal cut-off and predictive value of RBP4 for predicting CKD.
Results:
By using the quartile grouping method, the population was divided into four groups according to the RBP4 level. As the RBP4 level increased, the prevalence of CKD also gradually increased among different groups. RBP4 was also correlated with various metabolic risk factors, such as blood glucose, blood lipids, blood pressure, waist circumference, uric acid, and with kidney function indicators such as creatinine, urine protein. Logistic regression analysis found that after adjusting for confounders, RBP4 remained significantly associated with CKD, independent of metabolic risk factors. ROC analysis showed that RBP4 as a single index, AUC (0.666) was superior to Scr, FBG, Log HOMA-IR, WC, TG, VLDL-C, UA, HDL-C, LDL-C, and that combining RBP4 indicator and other common risk factors of CKD can improve the accuracy for predicting CKD.
Conclusion:
This study found that the RBP4 was strongly correlated with CKD, RBP4 may become a valuable marker and have strong power for predicting CKD.
Insights
Retinol binding protein 4 (RBP4) is strongly linked to chronic kidney disease (CKD). Higher RBP4 levels correlate with increased CKD prevalence and may serve as a valuable predictive marker for the condition.
Area of Science:
- Endocrinology
- Nephrology
- Metabolic Syndrome
Background:
- Retinol binding protein 4 (RBP4) is an adipokine associated with metabolic diseases and risk factors for chronic kidney disease (CKD).
- Limited research exists on the direct relationship between RBP4 and CKD, with no prior studies investigating its predictive value.
- This study aimed to elucidate the association between RBP4 and CKD and assess its potential as a predictive biomarker.
Purpose of the Study:
- To clarify the relationship between RBP4 levels and the prevalence of CKD.
- To evaluate the predictive value of RBP4 for CKD in a large cross-sectional survey.
- To determine if RBP4 can serve as an independent predictor of CKD, even after accounting for metabolic risk factors.
Main Methods:
- A cross-sectional survey of 2117 individuals in southern China was conducted.
- Correlation tests and logistic regression analyses were employed to assess the association between RBP4 and CKD.
- Receiver operating characteristic (ROC) analysis was used to determine optimal cut-off points and predictive accuracy of RBP4 for CKD.
Main Results:
- CKD prevalence increased with higher quartiles of RBP4 levels.
- RBP4 showed significant correlations with metabolic risk factors (e.g., blood glucose, lipids, blood pressure) and kidney function indicators (e.g., creatinine, urine protein).
- Logistic regression confirmed RBP4's independent association with CKD. ROC analysis indicated RBP4's superior predictive value over traditional markers, with combined use improving accuracy.
Conclusions:
- RBP4 is strongly correlated with CKD.
- RBP4 demonstrates potential as a valuable biomarker for predicting CKD.
- Combining RBP4 with other risk factors may enhance the accuracy of CKD prediction.
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