Cardiovascular Disease

Study Goals and Findings

Cardiovascular disease (CVD) is the leading cause of death worldwide.  Determining patient risk levels for heart attack or severe heart disease can greatly reduce fatalities and healthcare expenditures related to CVD, however researchers have yet to develop sufficiently powerful risk prediction tools. This Horizon 1 project created and analyzed data from existing patient samples (Duke CATHGEN project and the Duke Databank for Cardiovascular Disease) to form profiles that can better identify individuals who are at risk for a future cardiac event.

Through the analysis of biological samples, researchers have successfully identified specific protein metabolites and genetic sequences correlated with increased risk of a cardiovascular incident. These findings, along with other novel discoveries from this research endeavor, are currently in the peer review process, as researchers continue to refine their work in preparation for clinical applications in the near future.

Meet the Principal Investigator
L. Krisitn Newby, MD, MHS
L. Krisitn Newby, MD, MHS
Related Publications and Print Materials
  1. Truffa AAM, White KR, Lopes RD, Pieper KS, Granger CB, Newgard CB, Kraus WE, Hranitzky PM, Califf RM, Shah SH, Newby LK. Peripheral Blood Metabolic Profiles Identify Patients at Risk for New Onset Atrial Fibrillation. Presented at American Heart Association Scientific Session, Orlando, FL.November 15, 2011. 
  2. Bhattacharya S, Craig DM, Haynes C, Granger CB, Stevens RD, Hauser ER, Kraus WE, Newgard CB, Newby LK, Shah SH. Peripheral metabolite profiles discriminate coronary artery disease in a sequential cohort of cardiac catheterization patients. American Heart Association Scientific Sessions 2011.
  3. Shah AA, Craig DM, Haynes C, Bain J, Stevens R, Hughes GC, Newby LK, Hauser ER, Kraus WE, Newgard CB, Gregory SG, Shah SH. Integration of genetics with metabolomics identifies a novel gene associated with risk of incident cardiovascular events: TRAF3IP2. American Heart Association Scientific Sessions 2011. 
  4. Newby LK, Shah S, Sun JL, Piper K, Hauser ER, Kraus WE, Granger CB for the MURDOCK Horizon 1 Cardiovascular Disease InvestigatorsRed Cell Distribution Width (RDW) is a Strong Predictor of Outcome and is Weakly Associated With Clinical Variables in Patients at Risk for Cardiovascular Events. Presented at the American Heart Association (AHA) Annual Meeting, Orlando, FL, November 2009. 
  5. Shah SH, Granger CB, Hauser ER, Kraus WE, Sun JL, Pieper K, Nelson CL, DeLong ER, Califf RM, Newby LK, for the MURDOCK Horizon 1 Cardiovascular Disease Investigators. Reclassification of Cardiovascular Risk Using Integrated Clinical and Molecular Biosignatures: Design and Rationale of the MURDOCK Horizon 1 Cardiovascular Disease Study. Am Heart J. 2010 Sep;160(3):371-379.e2.
  6. Shah SH, Sun JL, Piper K, Haynes C, Muehlbauer M, Bain JR, Hauser ER, Kraus WE, Newgard, CB, Granger CB, Califf RM, Newby LK. Insulin-like growth factor binding protein (IGFBP) 2: A novel metabolic biomarker strongly predictive of future cardiovascular events.  J Am Coll Cardiol. 2010;55(A97):E914


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