Cardiovascular disease is the leading cause of morbidity and mortality among patients with chronic kidney disease. This excess risk is only partly attributable to a high prevalence of traditional cardiovascular risk factors. The principal investigator's goal is to establish a career as an independent investigator with the broad objectives of understanding of the pathophysiologic mechanisms leading to cardiovascular disease and developing effective preventive strategies to reduce the burden of cardiovascular disease in kidney disease. The proposed study will investigate the mechanisms underlying development of cardiovascular disease in the earlier stages of non-diabetic chronic kidney disease utilizing data from two National Institutes of Diabetes & Digestive & Kidney Diseases (NIDDK) sponsored trials. The overall hypothesis is that: Non-diabetic chronic kidney disease is characterized by early elevation of markers of inflammation, oxidative stress and insulin resistance, and that these risk factors are associated with cardiovascular disease in this patient population. The Modification of Diet in Renal Disease (MDRD) Study was a large randomized controlled trial of patients in the earlier stages of chronic kidney disease. Participants in the MDRD Study had predominantly non-diabetic kidney disease of varying etiologies. The Halt Progression of Polycystic Kidney Disease trial is a randomized trial to slow the progression of kidney disease in patients with autosomal dominant polycystic kidney disease (ADPKD). These two patient populations provide a unique opportunity to examine the relationship between kidney disease and novel cardiac risk factors, and to study the role of these novel risk factors in the pathophysiology of cardiovascular disease, in the absence of important confounders such as diabetes, dialysis and malnutrition. The study hypothesis will be tested using three specific aims: 1. To determine whether inflammation, oxidative stress, insulin resistance, and endothelial dysfunction in the earlier stages of chronic kidney disease are associated with cardiovascular disease. 2. To determine whether ADPKD is associated with inflammation, insulin resistance, and oxidative stress 3. To determine whether inflammation, insulin resistance, and oxidative stress are associated with endothelial dysfunction, measured as brachial artery reactivity and peripheral artery tonometry, in ADPKD. The novel risk factors under investigation in this proposal could serve to identify high-risk patients for targeted interventions to prevent or delay the adverse outcomes associated with cardiovascular disease. The applicant has chosen a group of distinguished mentors and collaborators to support this project. This award will provide Dr. Menon with the final training necessary for her to make the transition from trainee to principal investigator.

Agency
National Institute of Health (NIH)
Institute
National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK)
Type
Mentored Patient-Oriented Research Career Development Award (K23)
Project #
5K23DK067303-05
Application #
7459099
Study Section
Diabetes, Endocrinology and Metabolic Diseases B Subcommittee (DDK)
Program Officer
Rankin, Tracy L
Project Start
2004-07-01
Project End
2010-04-30
Budget Start
2008-07-01
Budget End
2010-04-30
Support Year
5
Fiscal Year
2008
Total Cost
$156,970
Indirect Cost
Name
Tufts University
Department
Type
DUNS #
079532263
City
Boston
State
MA
Country
United States
Zip Code
02111
Grams, Morgan E; Sang, Yingying; Ballew, Shoshana H et al. (2018) Predicting timing of clinical outcomes in patients with chronic kidney disease and severely decreased glomerular filtration rate. Kidney Int 93:1442-1451
Tangri, Navdeep; Grams, Morgan E; Levey, Andrew S et al. (2016) Multinational Assessment of Accuracy of Equations for Predicting Risk of Kidney Failure: A Meta-analysis. JAMA 315:164-74
Matsushita, Kunihiro; Coresh, Josef; Sang, Yingying et al. (2015) Estimated glomerular filtration rate and albuminuria for prediction of cardiovascular outcomes: a collaborative meta-analysis of individual participant data. Lancet Diabetes Endocrinol 3:514-25
Coresh, Josef; Turin, Tanvir Chowdhury; Matsushita, Kunihiro et al. (2014) Decline in estimated glomerular filtration rate and subsequent risk of end-stage renal disease and mortality. JAMA 311:2518-2531
Wen, Chi Pang; Matsushita, Kunihiro; Coresh, Josef et al. (2014) Relative risks of chronic kidney disease for mortality and end-stage renal disease across races are similar. Kidney Int 86:819-27
Shlipak, Michael G; Matsushita, Kunihiro; Ärnlöv, Johan et al. (2013) Cystatin C versus creatinine in determining risk based on kidney function. N Engl J Med 369:932-43
Mahmoodi, Bakhtawar K; Matsushita, Kunihiro; Woodward, Mark et al. (2012) Associations of kidney disease measures with mortality and end-stage renal disease in individuals with and without hypertension: a meta-analysis. Lancet 380:1649-61
Matsushita, Kunihiro; Mahmoodi, Bakhtawar K; Woodward, Mark et al. (2012) Comparison of risk prediction using the CKD-EPI equation and the MDRD study equation for estimated glomerular filtration rate. JAMA 307:1941-51
Fox, Caroline S; Matsushita, Kunihiro; Woodward, Mark et al. (2012) Associations of kidney disease measures with mortality and end-stage renal disease in individuals with and without diabetes: a meta-analysis. Lancet 380:1662-73
Hallan, Stein I; Matsushita, Kunihiro; Sang, Yingying et al. (2012) Age and association of kidney measures with mortality and end-stage renal disease. JAMA 308:2349-60

Showing the most recent 10 out of 30 publications