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Predicting coronary artery disease and risk of cardiovascular events

a technology of coronary artery disease and risk, applied in the direction of instruments, separation processes, applications, etc., can solve the problem of incomplete mechanistic understanding of cad risk

Inactive Publication Date: 2011-12-29
DUKE UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Benefits of technology

[0004]In one aspect, methods for assessing risk of cardiovascular disease in a subject are provided. The risk assessment may include predicting the likelihood a subsequent cardiovascular event such as a myocardial infarction, predicting development of CAD, or discriminating the presence of CAD in a subject. The methods include detecting at least one metabolite in a sample from the subject. The metabolite may be an acylcarnitine, an amino acid, a ketone, a free fatty acid or β-hydroxybutyrate. The levels of metabolites are then compared to a standard or to control subjects and can be used to determine the level of risk of a cardiovascular event, the risk of development of CAD or the presence of CAD in the subject.

Problems solved by technology

However, there remains an incomplete mechanistic understanding of CAD risk, and equally important, a need to refine our ability to identify individuals at highest risk of cardiovascular events.

Method used

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  • Predicting coronary artery disease and risk of cardiovascular events
  • Predicting coronary artery disease and risk of cardiovascular events
  • Predicting coronary artery disease and risk of cardiovascular events

Examples

Experimental program
Comparison scheme
Effect test

example 1

Association of Metabolites with CAD and Risk of Cardiovascular Events Methods

Study Sample

[0033]The CATHGEN biorepository consists of subjects recruited sequentially through the cardiac catheterization laboratories at Duke University Medical Center (Durham, N.C.). After informed consent, blood was obtained from the femoral artery at time of arterial access for catheterization, immediately processed to separate plasma, and frozen at −80° C. All subjects were fasting for a minimum of six hours prior to collection. Clinical data were provided by the DDCD, a database of patients undergoing cardiac catheterization at Duke University since 1969. Medication data were collected for medications used chronically, i.e. medications at admission (inpatients) or from a clinic note within one month prior (outpatients). Follow-up data, including occurrence of myocardial infarction (MI) and death were collected at six months after catheterization, then annually thereafter. Vital status was confirmed ...

example 2

Heritability of CAD

Materials and Methods

[0061]Study Population. The GENECARD study enrolled 920 families to perform affected-sibling-pair linkage for identification of genes for early-onset CAD (before age 51 for men, age 56 for women) (Hauser et al., 2003, Am Heart J, 145, 602-613). Families with at least two siblings each of whom met the criteria for early-onset CAD (before age 51 for men, age 56 for women) were recruited. Unaffected family members were defined as no clinical evidence of CAD and age greater than 55 years for men (greater than 60 years for women). From this cohort, we selected eight representative families we believed would be particularly informative, based on availability of a relatively large number of family members and a heavy burden of CAD in the proband and surrounding generations (FIG. 3). These families were recontacted; the affected-sibling-pair and family members not previously enrolled were ascertained regardless of CAD, focused on offspring of the affe...

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Abstract

Methods of assessing the risk of cardiovascular disease in a subject by detecting the level of at least one metabolite in a sample from the subject are disclosed herein. The level of the metabolite is indicative of the risk of cardiovascular disease in the subject. The metabolites may be acylcarnitines, amino acids, ketones, free fatty acids or hydroxybutyrate. The cardiovascular disease may be risk of a cardiovascular event, presence of coronary artery disease or risk of development of coronary artery disease.

Description

CROSS-REFERENCE TO RELATED APPLICATIONS[0001]This application claims the benefit of U.S. Provisional Patent Application No. 61 / 159,077 filed Mar. 10, 2009, which is incorporated herein by reference in its entirety.BACKGROUND OF THE INVENTION[0002]Coronary artery disease (CAD) is the leading cause of death in industrialized countries, and in concert with the epidemic of obesity and diabetes, is rapidly becoming the leading cause of death in developing countries. The genetic predilection of CAD is well-established; family history has been shown to be an independent risk factor for CAD, especially in early onset forms. Despite this, the genetic architecture of CAD remains largely unknown.[0003]Many accepted risk factors for CAD are metabolic. However, there remains an incomplete mechanistic understanding of CAD risk, and equally important, a need to refine our ability to identify individuals at highest risk of cardiovascular events. Given the complex nature of CAD, evaluation with more...

Claims

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Application Information

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Patent Type & Authority Applications(United States)
IPC IPC(8): C12Q1/00H01J49/26G01N33/64G01N33/92G01N33/68G01N33/50
CPCA61B5/00A61B5/14532A61B5/14546A61B5/4866Y10T436/200833G01N33/6887G01N2800/324Y10T436/201666Y10T436/174614A61B5/7275G01N21/78G01N2021/7786G01N2800/50G16H50/30H01J49/0027
Inventor SHAH, SVATI H.NEWGARD, CHRISTOPHER B.KRAUS, WILLIAM E.HAUSER, ELIZABETH R.GINSBURG, GEOFFREY S.NEWBY, L. KRISTIN
Owner DUKE UNIV
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