OBJECTIVE: To explore the relationship between adiponectin and albuminuria in a large group of overweight and obese nondiabetic individuals after controlling for potential confounders. MATERIAL AND METHODS: Detailed anthropometry, computed tomography-measured visceral abdominal adipose tissue, 24-h albuminuria, adiponectin and a series of biochemical parameters were assessed. Four hundred forty patients, predominantly of Caucasian origin, were included (80.2% female). A multiple linear regression model was developed, with albuminuria as the dependent variable and potential predictors as independent variables. RESULTS: The mean age was 40±13 years, the mean body mass index was 35.7±6.6 kg/m2, and the median visceral abdominal adipose tissue was 142.4 (92.3-194.0) cm2. 10.9% of subjects exhibited microalbuminuria. The median adiponectin level was 9.08 (6.23-12.94) μg/ml, and the median fasting serum glucose level was 83 (77-89) mg/dl. The strongest significant univariate correlations with albuminuria were visceral abdominal adipose tissue (r=0.258, p<0.001), adiponectin (r=-0.265, p<0.001), waist circumference (r=0.250, p<0.001), waist-to-hip ratio (r=0.236, p<0.001) and high-density lipoprotein cholesterol (r=-0.211, p<0.001). The multiple linear regression model revealed a significant positive independent correlation between visceral abdominal adipose tissue and albuminuria (r=0.134, p=0.033), between fasting glucose levels and albuminuria (r=0.390, p=0.029) and between gender and albuminuria (r=0.107, p=0.038). A significant independent negative correlation was identified between adiponectin and albuminuria (r=-0.255, p=0.022). CONCLUSIONS: We observed an independent inverse relationship between adiponectin and albuminuria in overweight and obese nondiabetic individuals. Further investigations are needed to confirm this finding and to clarify whether adiponectin is a risk marker or plays a causative role in developing obesity-induced nephropathy.
OBJECTIVE: To explore the relationship between adiponectin and albuminuria in a large group of overweight and obese nondiabetic individuals after controlling for potential confounders. MATERIAL AND METHODS: Detailed anthropometry, computed tomography-measured visceral abdominal adipose tissue, 24-h albuminuria, adiponectin and a series of biochemical parameters were assessed. Four hundred forty patients, predominantly of Caucasian origin, were included (80.2% female). A multiple linear regression model was developed, with albuminuria as the dependent variable and potential predictors as independent variables. RESULTS: The mean age was 40±13 years, the mean body mass index was 35.7±6.6 kg/m2, and the median visceral abdominal adipose tissue was 142.4 (92.3-194.0) cm2. 10.9% of subjects exhibited microalbuminuria. The median adiponectin level was 9.08 (6.23-12.94) μg/ml, and the median fasting serum glucose level was 83 (77-89) mg/dl. The strongest significant univariate correlations with albuminuria were visceral abdominal adipose tissue (r=0.258, p<0.001), adiponectin (r=-0.265, p<0.001), waist circumference (r=0.250, p<0.001), waist-to-hip ratio (r=0.236, p<0.001) and high-density lipoprotein cholesterol (r=-0.211, p<0.001). The multiple linear regression model revealed a significant positive independent correlation between visceral abdominal adipose tissue and albuminuria (r=0.134, p=0.033), between fasting glucose levels and albuminuria (r=0.390, p=0.029) and between gender and albuminuria (r=0.107, p=0.038). A significant independent negative correlation was identified between adiponectin and albuminuria (r=-0.255, p=0.022). CONCLUSIONS: We observed an independent inverse relationship between adiponectin and albuminuria in overweight and obese nondiabetic individuals. Further investigations are needed to confirm this finding and to clarify whether adiponectin is a risk marker or plays a causative role in developing obesity-induced nephropathy.
Authors: Kieren J Mather; Qing Pan; William C Knowler; Tohru Funahashi; George A Bray; Richard Arakaki; Bonita Falkner; Kumar Sharma; Barry J Goldstein Journal: PLoS One Date: 2015-08-27 Impact factor: 3.240