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A High-throughput Method for Measurement of Glomerular Filtration Rate in Conscious Mice
Published on: May 10, 2013
Estimated Glomerular Filtration Rate and Incident Prediabetes Risk in Normoglycemic Adults With Parental Type 2
Blair Brawley1, Louis Brown1, Peace Asuzu1
1Division of Endocrinology, Diabetes and Metabolism, Department of Medicine, University of Tennessee Health Science Center, Memphis, TN 38163, USA.
Objective:
We examined estimated glomerular filtration rate (eGFR) in relation to cardiometabolic and glucoregulatory factors and prediabetes risk in healthy subjects.
Methods:
Participants were normoglycemic Black and White offspring of parents with type 2 diabetes followed for 5 years in the Pathobiology of Prediabetes in a Biracial Cohort study. Baseline assessments included clinical examination, oral glucose tolerance test, blood chemistries, insulin sensitivity (Si-clamp), insulin secretion, and eGFR (derived from the CKD-EPI equation). We analyzed baseline eGFR in relation to metabolic syndrome (MetS), glucoregulatory function, and prediabetes risk using linear regression and Cox proportional hazards models.
Results:
The participants (n = 296; 73% female; 138 Black, 158 White) were aged 45.5 ± 10.1 years; body mass index (BMI) was 30.5 ± 7.6 kg/m2, and eGFR was 103 ± 18.7 mL/min. Baseline eGFR increased with cumulative MetS components (ANOVA P = .0002) and correlated significantly with waist circumference (r = 0.39, P < .0001), high-density lipoprotein cholesterol (r = -0.38, P < .0001), Si-clamp (r = -0.22; P = .003), and insulin secretion (r = 0.22; P = .0003). Higher baseline eGFR predicted lower risk of incident prediabetes: hazard ratio 0.986 (95% confidence interval 0.975-0.997, P = .012), adjusted for age, sex, ethnicity, BMI, waist circumference, glucose, insulin sensitivity, insulin secretion, and albuminuria.
Conclusion:
eGFR variations within the normal range signify cardiometabolic risk status, glucoregulatory function, and incident prediabetes risk among normoglycemic persons. Further studies are needed to determine the mechanisms linking kidney function and early dysglycemia.
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