Characteristics of high- and low-risk individuals in the PRIORITY study: urinary proteomics and mineralocorticoid receptor antagonism for prevention of diabetic nephropathy in Type 2 diabetes.

AIM: To compare clinical baseline data in individuals with Type 2 diabetes and normoalbuminuria, who are at high or low risk of diabetic kidney disease based on the urinary proteomics classifier CKD273. METHODS: We conducted a prospective, randomized, double-blind, placebo-controlled international multicentre clinical trial and observational study in participants with Type 2 diabetes and normoalbuminuria, stratified into high- or low-risk groups based on CKD273 score. Clinical baseline data for the whole cohort and stratified by risk groups are reported. The associations between CKD273 and traditional risk factors for diabetic kidney disease were evaluated using univariate and logistic regression analysis. RESULTS: A total of 1777 participants from 15 centres were included, with 12.3% of these having a high-risk proteomic pattern. Participants in the high-risk group (n=218), were more likely to be men, were older, had longer diabetes duration, a lower estimated GFR and a higher urinary albumin:creatinine ratio than those in the low-risk group (n=1559, P<0.02). Numerical differences were small and univariate regression analyses showed weak associations (R2 < 0.04) of CKD273 with each baseline variable. In a logistic regression model including clinical variables known to be associated with diabetic kidney disease, estimated GFR, gender, log urinary albumin:creatinine ratio and use of renin-angiotensin system-blocking agents remained significant determinants of the CKD273 high-risk group: area under the curve 0.72 (95% CI 0.68-0.75; P<0.01). CONCLUSIONS: In this population of individuals with Type 2 diabetes and normoalbuminuria, traditional diabetic kidney disease risk factors differed slightly between participants at high risk and those at low risk of diabetic kidney disease, based on CKD273. These data suggest that CKD273 may provide additional prognostic information over and above the variables routinely available in the clinic. Testing the added value will be subject to our ongoing study. (European Union Clinical Trials Register: EudraCT 2012-000452-34 and Clinicaltrials.gov: NCT02040441).

Serum uric acid and progression of diabetic nephropathy in type 1 diabetes.

AIMS: Uric acid (UA) is a risk factor for CKD. We evaluated UA in relation to change in GFR in patients with type 1 diabetes. METHODS: Post hoc analysis of a trial of losartan in diabetic nephropathy, mean follow-up 3 years (IQR 1.5-3.5). UA was measured at baseline. Primary end-point was change in measured GFR. UA was tested in a linear regression model adjusted for known progression factors (gender, HbA1c, systolic blood pressure, cholesterol, baseline GFR and baseline urinary albumin excretion rate (UAER)). RESULTS: Baseline UA was 0.339 mmol/l (SD ±0.107), GFR 87 ml/min/1.73 m2 (±23), geometric mean UAER 1023 mg/24 h (IQR, 631 - 1995). Mean rate of decline in GFR was 4.6 (3.7) ml/min/year. In the upper quartile of baseline UA the mean decline in GFR from baseline to the end of the study was 6.2 (4.9) ml/min/1.73 m2 and 4.1 (3.1) ml/min/1.73 m2 in the three lower quartiles of UA, (p = 0.088). In a linear model including baseline covariates (UAER, GFR, total cholesterol, HDL cholesterol) UA was associated with decline in GFR (r2 = 0.45, p < 0.001). CONCLUSION: Uric acid was weakly associated with decline in GFR in type 1 diabetic patients with overt nephropathy.

Localization of non-Mhc collagen-induced arthritis susceptibility loci in DBA/1j mice.

One approach to understanding common human diseases is to determine the genetic defects responsible for similar diseases in animal models and place those defective genes in their corresponding biochemical pathways. Our laboratory is working with an animal model for human rheumatoid arthritis called collagen-induced arthritis (CIA). We are particularly interested in determining the location of disease-predisposing loci. To that end, we performed experiments to localize susceptibility loci for CIA in an F2 cross between the highly susceptible mouse strain DBA/1j and the highly resistant mouse strain SWR/j. Specifically, a quantitative trait locus analysis was performed to localize regions of the mouse genome responsible for susceptibility/severity to CIA. One susceptibility locus, Cia1 in the major histocompatibility locus, had been identified previously. Two additional loci were detected in our analysis that contribute to CIA severity (Cia2, Cia3) on chromosomes 2 and 6. A third locus was detected that contributes to the age of onset of the disease. This locus (Cia4) was located on chromosome 2 and was linked to the same region as Cia2. Determining the identity of these loci may provide insights into the etiology of human rheumatoid arthritis.