2373     GD −0 581 0 0003 −0 289 <0 0001 BMI body mass index, MAP

2373     GD −0.581 0.0003 −0.289 <0.0001 BMI body mass index, MAP the mean arterial pressure, TC total cholesterol, TG triglyceride, HDL-C high-density lipoprotein cholesterol, FBG levels of fasting blood glucose, Cr creatinine, eGFR the estimated glomerular filtration rate, UA uric acid, GD glomerular density

excluding global glomerular sclerosis Comparison of the different BMI categories As shown in Table 4, the values for GD, as well as those for the eGFR, were significantly different among the non-obese, overweight and obese groups. The values for the mean GV were also significantly different among these three groups. selleck kinase inhibitor The values for the mean GV were significantly higher in the overweight and obese groups than in the non-obese group, and the values for GD were significantly lower in the obese group than in the non-obese group. Table 4 Clinical and histological findings of the patients categorized by body mass index Characteristics Non-obese (n = 13) Overweight (n = 18) Obese (n = 3) p value Clinical  Age (years) 38 (29, 49) 41 (37, 46) 50 (41, 54) 0.479a  Male (%) 46 80 100 0.066c  eGFR (ml/min/1.73 m2) 110 ± 26 91 ± 20 71 ± 9† 0.015b Histopathologic  GD (glomeruli/μm2) 3.3 ± 1.2 2.2 ± 1.0 1.8 ± 0.6† 0.021b  Mean GV (×106/μm3) 2.4 ± 1.3 3.6 ± 0.9† 4.7 ± 0.8† 0.026b Values

Selleckchem R406 are expressed as the percentage of patients, mean ± SD or median [P5091 interquartile ranges (IQR)] BMI body mass index, eGFR the estimated glomerular filtration rate, GD glomerular density excluding global glomerular sclerosis, mean GV mean glomerular volume † p < 0.05 vs. non-obese by multiple comparisons using the Tukey–Kramer method aThe Kruskal–Wallis test bThe one factor analysis of variance (ANOVA) test cChi square test Discussion Our major goal was to clarify the pathogenic role of the GD, GV and obesity in proteinuric CKD patients without known glomerular diseases. When our 34 patients were divided into two groups based on the presence or absence of a mean GV which fulfilled the definition of GH (GV >3.6 × 106 μm3), the patients with GH (Group 1)

showed significantly higher values for the BMI, MAP and UA, and a significantly higher frequency of male patients compared to those without GH (Group 2). Of note, the patients in Group 1 had significantly lower GD values as compared to Group 2 patients, whereas the degrees of other Nutlin-3 mouse pathological changes were comparable between the two groups, except for the score of patients with arteriolar hyalinosis and the frequency of patients with global sclerosed glomeruli (Table 2). The stepwise multivariate regression analyses for all 34 patients revealed that the GD, sex and BMI were independent factors significantly associated with the mean GV (Table 3). Among the three subgroups of patients categorized according to the BMI, i.e., non-obese (BMI <25 kg/m2), overweight (25 < BMI ≤ 30 kg/m2) and obese (BMI ≥30 kg/m2) patients, the GD values, as well as the eGFR, were significantly lower in the groups with higher BMI values.

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