Evaluation of Metabolic Risk Marker in Obesity-related Glomerulopathy
| Autor: | Pei-Pei Zhang, Zhihong Liu, Qingwen Wang, Huimei Chen, Yi-De Zhang, Yan Chen, Leishi Li, Huiping Chen |
|---|---|
| Rok vydání: | 2011 |
| Předmět: |
Adult
Blood Glucose Male medicine.medical_specialty endocrine system diseases medicine.medical_treatment Medicine (miscellaneous) Amylin Renal function Body Mass Index Insulin resistance Risk Factors Glomerulopathy Internal medicine medicine Homeostasis Humans Insulin Obesity Retrospective Studies Metabolic Syndrome Nutrition and Dietetics Proteinuria business.industry Middle Aged medicine.disease Islet Amyloid Polypeptide Cross-Sectional Studies Logistic Models Endocrinology Nephrology Multivariate Analysis Body Composition Linear Models Female Kidney Diseases Insulin Resistance medicine.symptom business Body mass index Biomarkers |
| Zdroj: | Journal of Renal Nutrition. 21:309-315 |
| ISSN: | 1051-2276 |
| DOI: | 10.1053/j.jrn.2010.06.019 |
| Popis: | Objective Insulin resistance is a common metabolic abnormality, which increases the risk of renal events in obesity. The present study is aimed to examine the relation between metabolic factors and obesity-related glomerulopathy (ORG), and then compare the risk markers of insulin resistance for clinical prediction. Methods A total of 112 cases with proven renal ORG and 135 age- and gender-matched lean controls were included. The degree of proteinuria, endogenous creatinine clearance rate, body mass index, amylin, fasting glucose, insulin, lipid and lipoprotein concentrations were measured during the steady state. Results The patients with ORG were clinically characterized by increased body mass index and proteinuria, with higher levels of amylin, homeostasis model assessment of insulin resistance (HOMA-IR), insulin, glucose, and lipid proteins when compared with the lean controls. Multiple logistic regression analysis revealed that amylin and HOMA-IR were significantly associated with the prevalence of ORG. In patients with ORG, proteinuria level correlated with amylin, total cholesterol, fasting insulin, and HOMA-IR. Moreover, proteinuria correlated positively with HOMA-IR and amylin in a multiple regression analysis. In addition, the endogenous creatinine clearance rate did not correlate with any metabolic marker. Conclusion This study suggested that screening for HOMA-IR might have predictive value for renal damage in obese patients. In addition to insulin resistance, amylin also showed positive effects on evaluation of such renal impairment. |
| Databáze: | OpenAIRE |
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