Evaluation of metabolic risk marker in obesity-related glomerulopathy.
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.


CONCLUSIONS
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.
Chen
Hui-Mei
HM
Research Institute of Nephrology, Jinling Hospital, Nanjing University School of Medicine, Nanjing 210002, People's Republic of China.
Chen
Yan
Y
Zhang
Yi-De
YD
Zhang
Pei-Pei
PP
Chen
Hui-Ping
HP
Wang
Qing-Wen
QW
Li
Lei-Shi
LS
Liu
Zhi-Hong
ZH
D000328:Adult; D015415:Biomarkers; D001786:Blood Glucose / Q000032:analysis; D001823:Body Composition; D015992:Body Mass Index; D003430:Cross-Sectional Studies; D005260:Female; D006706:Homeostasis; D006801:Humans; D007328:Insulin / Q000097:blood; D007333:Insulin Resistance; D058228:Islet Amyloid Polypeptide / Q000097:blood; D007674:Kidney Diseases / Q000150:complications / Q000473:pathology*; D016014:Linear Models; D016015:Logistic Models; D008297:Male; D024821:Metabolic Syndrome / Q000150:complications / Q000473:pathology*; D008875:Middle Aged; D015999:Multivariate Analysis; D009765:Obesity / Q000150:complications / Q000473:pathology*; D011507:Proteinuria / Q000150:complications / Q000473:pathology; D012189:Retrospective Studies; D012307:Risk Factors
D015415:Biomarkers; D001786:Blood Glucose; D007328:Insulin; D058228:Islet Amyloid Polypeptide