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The risk of end-stage renal disease (ESRD) remains high in patients with type 1 diabetes and proteinuria; however, little is known about the rate of decline in their renal function. To help determine this, we enrolled patients with type 1 diabetes and proteinuria whose estimated glomerular filtration rate (eGFR) was normal (equal to or above 60 ml/min per 1.73 m(2)). Using a minimum of five serial measurements of serum creatinine for 161 patients, we determined individual trajectories of eGFR change and the occurrence of ESRD during 5-18 years of follow-up. The rates were linear for 110 patients, for 24 the nonlinear rate was mild enough to satisfy a linear model, and the rates were clearly nonlinear for only 27 patients. Overall, in more than one-third of patients, the eGFR decline was less than 3.5 ml/min per 1.73 m(2) per year and the lifetime risk of ESRD could be considered negligible. In the remainder of patients, eGFR declined with widely different slopes and ESRD developed within 2 to 18 years. Based on up to 5 years observation, when renal function was within the normal range, the estimates of early eGFR slope predicted the risk of ESRD during subsequent follow-up better than the baseline clinical characteristics of glycated hemoglobin, blood pressure, or the albumin to creatinine ratio. Thus, the early slope of eGFR decline in patients with type 1 diabetes and proteinuria can be used to predict the risk of ESRD.

Urinary albumin excretion in families with type 2 diabetes is heritable and genetically correlated to blood pressure.BackgroundLevels of urinary albumin excretion (UAE) are used to define both the diagnosis of diabetic nephropathy and its progression. Predisposition to high blood pressure is also a risk factor for susceptibility to nephropathy, but its relationship with UAE in type 2 diabetes remains unclear. In this study, we have estimated heritabilities of UAE and blood pressure and their correlation attributable to genetic effects using 96 large families ascertained for type 2 diabetes.MethodsIn these families, 630 individuals with type 2 diabetes and 639 individuals with normoglycemia were examined. All of them had a determination of UAE as the urinary albumin creatinine ratio (ACR), a convenient index of UAE, together with blood pressure and other variables, such as age, sex, and body mass index. A variance components approach was used to estimate heritability and genetic correlations for ACR and systolic and diastolic blood pressures (SBP and DBP) after adjustment for relevant covariates.ResultsIn the 96 pedigrees, 6481 usable pairs of relatives were identified. In the total collection of pairs, heritability for ACR (h2 = 0.27, P β; 0.001) was similar to that for blood pressure. When only pairs of diabetic relatives were analyzed (N = 1732), the estimates of heritability increased slightly for ACR (h2 = 0.31), SBP (h2 = 0.33), and DBP (h2 = 0.23). A significant genetic correlation was found between ACR and SBP (rg 0.27) and DBP (rg 0.26) in all pairs of relatives (P β; 0.001). In pairs of diabetic relatives, these values were higher for SBP and DBP, 0.38 and 0.52, respectively.ConclusionIn families with type 2 diabetes, UAE is a heritable trait, with a heritability similar to that for blood pressure. A significant genetic correlation between UAE and blood pressure, particularly in the presence of diabetes, indicates that these traits share common genetic determinants.

Aging in the kidney can cause albuminuria, and discovering molecular mechanisms responsible for this might offer a new perspective on the etiology of this abnormality. Haplotype association mapping in the mouse is a novel approach which uses the haplotypes of the relatively closely related mouse inbred strains and the phenotypic variation among these strains to find associations between haplotypes and phenotype. The albumin-to-creatinine ratios, a measure of urinary albumin excretion, were determined in 30 inbred mouse strains at 12, 18, and 24 months of age. Mapping was performed for males and females separately at all three time points using a high density set of 63,222 single-nucleotide polymorphisms to determine genetic loci involved in albuminuria. One significant and eight suggestive loci were found, some of which map to previously identified loci for traits associated with kidney damage in the mouse, but with a much higher resolution thus narrowing their chromosomal location. These nine loci were then compared with genome-wide association scans for diabetic nephropathy (DN) in human type I diabetes. Our study found that two of the nine mouse loci for age-related albuminuria were significantly associated with DN and consistent across male and female strata. This suggests common underlying genes predispose to kidney disease in mice and humans.