Literature DB >> 16732278

Proton NMR analysis of plasma is a weak predictor of coronary artery disease.

Heide L Kirschenlohr1, Julian L Griffin, Sarah C Clarke, Ranyl Rhydwen, Andrew A Grace, Peter M Schofield, Kevin M Brindle, James C Metcalfe.   

Abstract

Multivariate analysis of 1H-NMR spectra of blood sera was reported previously to predict angiographically defined advanced coronary artery disease (CAD) with >90% accuracy and specificity. The analysis depended mainly on the major lipid regions of the spectra, but many variables, including gender and drug treatment, affect lipid composition and are potential confounders. We have determined the predictive power of the same methodology for angiographically defined CAD using plasma samples from groups of male patients, classified by statin treatment, who had normal coronary arteries (NCAs) or CAD. Predictions for NCA and CAD groups were only 80.3% correct for patients not treated with statins and 61.3% for treated patients, compared with random correct predictions of 50%. A confidence limit of >99% was achieved for 36.2% of predictions for untreated groups and 6.2% for treated groups. Detection of CAD by 1H-NMR with >99% confidence was therefore very weak compared with angiography.

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Year:  2006        PMID: 16732278     DOI: 10.1038/nm1432

Source DB:  PubMed          Journal:  Nat Med        ISSN: 1078-8956            Impact factor:   53.440


  44 in total

Review 1.  Metabolomics as a tool for cardiac research.

Authors:  Julian L Griffin; Helen Atherton; John Shockcor; Luigi Atzori
Journal:  Nat Rev Cardiol       Date:  2011-09-20       Impact factor: 32.419

Review 2.  Proteomic and metabolomic profiles in atherothrombotic vascular disease.

Authors:  Roxana Martinez-Pinna; Coral Barbas; Luis Miguel Blanco-Colio; Jose Tunon; Priscila Ramos-Mozo; Juan Antonio Lopez; Olivier Meilhac; Jean-Baptiste Michel; Jesus Egido; José Luis Martin-Ventura
Journal:  Curr Atheroscler Rep       Date:  2010-05       Impact factor: 5.113

3.  Diagnosing diabetic nephropathy by 1H NMR metabonomics of serum.

Authors:  Ville-Petteri Mäkinen; Pasi Soininen; Carol Forsblom; Maija Parkkonen; Petri Ingman; Kimmo Kaski; Per-Henrik Groop; Mika Ala-Korpela
Journal:  MAGMA       Date:  2006-12-15       Impact factor: 2.310

4.  NMR-based prediction of cardiovascular risk in diabetes.

Authors:  Ronan Roussel; France Mentré; Nadia Bouchemal; Samy Hadjadj; Michel Lièvre; Gilles Chatellier; Joël Menard; Xavière Panhard; Anne Le Hénanff; Michel Marre; Laurence Le Moyec
Journal:  Nat Med       Date:  2007-04       Impact factor: 53.440

Review 5.  Postgenomics diagnostics: metabolomics approaches to human blood profiling.

Authors:  Oxana Trifonova; Petr Lokhov; Alexander Archakov
Journal:  OMICS       Date:  2013-09-17

Review 6.  Integrated metabolomics and genomics: systems approaches to biomarkers and mechanisms of cardiovascular disease.

Authors:  Svati H Shah; Christopher B Newgard
Journal:  Circ Cardiovasc Genet       Date:  2015-04

Review 7.  Challenges in translating plasma proteomics from bench to bedside: update from the NHLBI Clinical Proteomics Programs.

Authors:  Robert E Gerszten; Frank Accurso; Gordon R Bernard; Richard M Caprioli; Eric W Klee; George G Klee; Iftikhar Kullo; Theresa A Laguna; Frederick P Roth; Marc Sabatine; Pothur Srinivas; Thomas J Wang; Lorraine B Ware
Journal:  Am J Physiol Lung Cell Mol Physiol       Date:  2008-05-02       Impact factor: 5.464

Review 8.  The emerging role of metabolomics in the development of biomarkers for pulmonary hypertension and other cardiovascular diseases (2013 Grover Conference series).

Authors:  Gregory D Lewis
Journal:  Pulm Circ       Date:  2014-09       Impact factor: 3.017

9.  Metabolomic analysis of human disease and its application to the eye.

Authors:  Stephen P Young; Graham R Wallace
Journal:  J Ocul Biol Dis Infor       Date:  2009-11-13

10.  Metabolomics applied to diabetes research: moving from information to knowledge.

Authors:  James R Bain; Robert D Stevens; Brett R Wenner; Olga Ilkayeva; Deborah M Muoio; Christopher B Newgard
Journal:  Diabetes       Date:  2009-11       Impact factor: 9.461

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