No abstract

Hyperuricemia may contribute to endothelial dysfunction in CKD. We evaluated whether lowering serum uric acid levels with allopurinol improves endothelial dysfunction in 80 participants ≥18 years of age with stage 3 CKD and asymptomatic hyperuricemia (≥7 mg/dl in men and ≥6 mg/dl in women) randomized in a double-blinded manner to receive placebo or allopurinol for 12 weeks. Randomization was stratified according to presence or absence of diabetes mellitus. We measured vascular endothelial function by brachial artery flow-mediated dilation. No significant differences existed between groups at baseline; 61% of the participants had diabetes mellitus in both groups. The placebo and the allopurinol groups had baseline serum uric acid levels (SDs) of 8.7 (1.6) mg/dl and 8.3 (1.4) mg/dl, respectively, and baseline flow-mediated dilation values (SDs) of 6.0% (5.0%) and 4.8% (5.0%), respectively. Compared with placebo, allopurinol lowered serum uric acid significantly but did not improve endothelial function. In participants without diabetes mellitus, allopurinol associated with a trend toward improved flow-mediated dilation (+1.4% [3.9%] versus -0.7% [4.1%] with placebo), but this was not statistically significant (=0.26). Furthermore, we did not detect significant differences between groups in BP or serum levels of markers of inflammation and oxidative stress. In conclusion, allopurinol effectively and safely lowered serum uric acid levels in adults with stage 3 CKD and asymptomatic hyperuricemia but did not improve endothelial function in this sample of patients.

Patients with chronic kidney disease (CKD) have significantly increased risk of cardiovascular disease (CVD) compared to the general population, and this is only partially explained by traditional CVD risk factors. Vascular dysfunction is an important non-traditional risk factor, characterized by vascular endothelial dysfunction (most commonly assessed as impaired endothelium-dependent dilation [EDD]) and stiffening of the large elastic arteries. While various techniques exist to assess EDD and large elastic artery stiffness, the most commonly used are brachial artery flow-mediated dilation (FMDBA) and aortic pulse-wave velocity (aPWV), respectively. Both of these noninvasive measures of vascular dysfunction are independent predictors of future cardiovascular events in patients with and without kidney disease. Patients with CKD demonstrate both impaired FMDBA, and increased aPWV. While the exact mechanisms by which vascular dysfunction develops in CKD are incompletely understood, increased oxidative stress and a subsequent reduction in nitric oxide (NO) bioavailability are important contributors. Cellular changes in oxidative stress can be assessed by collecting vascular endothelial cells from the antecubital vein and measuring protein expression of markers of oxidative stress using immunofluorescence. We provide here a discussion of these methods to measure FMDBA, aPWV, and vascular endothelial cell protein expression.

Advances in DNA sequencing have made large, diagnostic gene panels affordable and efficient. Broad adoption of such panels has begun to deliver on the promises of personalized medicine, but has also brought new challenges such as the presence of unexpected results, or results of uncertain clinical significance. Genetic analysis of inherited cardiac conditions is particularly challenging due to the extensive genetic heterogeneity underlying cardiac phenotypes, and the overlapping, variable, and incompletely penetrant nature of their clinical presentations. The design of effective diagnostic tests and the effective use of the results depend on a clear understanding of the relationship between each gene and each considered condition. To address these issues, we developed simple, systematic approaches to three fundamental challenges: (1) evaluating the strength of the evidence suggesting that a particular condition is caused by pathogenic variants in a particular gene, (2) evaluating whether unusual genotype/phenotype observations represent a plausible expansion of clinical phenotype associated with a gene, and (3) establishing a molecular diagnostic strategy to capture overlapping clinical presentations. These approaches focus on the systematic evaluation of the pathogenicity of variants identified in clinically affected individuals, and the natural history of disease in those individuals. Here, we applied these approaches to the evaluation of more than 100 genes reported to be associated with inherited cardiomyopathies and arrhythmias including hypertrophic cardiomyopathy, dilated cardiomyopathy, arrhythmogenic right ventricular dysplasia or cardiomyopathy, long QT syndrome, short QT syndrome, Brugada, and catecholaminergic polymorphic ventricular tachycardia, and to a set of related syndromes such as Noonan Syndrome and Fabry disease. These approaches provide a framework for delivering meaningful and accurate genetic test results to individuals with hereditary cardiac conditions.

Despite rates of chronic kidney disease (CKD) continuing to increase, the current evidence base used to guide CKD management is smaller than that for many other chronic diseases. Clinical investigators face multiple barriers to conducting research in patients with CKD. CKD patients have multiple comorbidities making them a risky intervention target and are often excluded from trials as a result. The lack of approved surrogate endpoints for kidney disease progression makes testing therapies to slow progression very challenging and expensive. Patients with CKD have higher rates of disability and lower educational status than the general population which further complicates their participation in clinical trials. In spite of these barriers, it is imperative that scientific progress be made in this patient population. Increasing education and information regarding CKD clinical trials through brochures and public awareness campaigns may increase trial participation. The FDA needs to approve the new definition of GFR decline as this will result in a decrease in the cost of clinical trials and make industry more likely to invest in trials in patients with CKD. Successful research in this patient population is possible but it requires collaboration between investigators, healthcare providers, patients, industry and the NIH.