Literature DB >> 22110018

Metabolomics and cardiovascular biomarker discovery.

Eugene P Rhee1, Robert E Gerszten.   

Abstract

BACKGROUND: Metabolomics, the systematic analysis of low molecular weight biochemical compounds in a biological specimen, has been increasingly applied to biomarker discovery. CONTENT: Because no single analytical method can accommodate the chemical diversity of the entire metabolome, various methods such as nuclear magnetic resonance spectroscopy (NMR) and mass spectrometry (MS) have been employed, with the latter coupled to an array of separation techniques including gas and liquid chromatography. Whereas NMR can provide structural information and absolute quantification for select metabolites without the use of exogenous standards, MS tends to have much higher analytical sensitivity, enabling broader surveys of the metabolome. Both NMR and MS can be used to characterize metabolite data either in a targeted manner or in a nontargeted, pattern-recognition manner. In addition to technical considerations, careful sample selection and study design are important to minimize potential confounding influences on the metabolome, including diet, medications, and comorbitidies. To this end, metabolite profiling has been applied to human biomarker discovery in small-scale interventions, in which individuals are extremely well phenotyped and able to serve as their own biological controls, as well as in larger epidemiological cohorts. Understanding how metabolites relate to each other and to established risk markers for diseases such as diabetes and renal failure will be important in evaluating the potential value of these metabolites as clinically useful biomarkers.
SUMMARY: Applied to both experimental and epidemiological study designs, metabolite profiling has begun to highlight the breadth metabolic disturbances that accompany human disease. Experimental work in model systems and integration with other functional genomic approaches will be required to establish a causal link between select biomarkers and disease pathogenesis.

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Year:  2011        PMID: 22110018      PMCID: PMC4402975          DOI: 10.1373/clinchem.2011.169573

Source DB:  PubMed          Journal:  Clin Chem        ISSN: 0009-9147            Impact factor:   8.327


  34 in total

1.  Rapid and noninvasive diagnosis of the presence and severity of coronary heart disease using 1H-NMR-based metabonomics.

Authors:  Joanne T Brindle; Henrik Antti; Elaine Holmes; George Tranter; Jeremy K Nicholson; Hugh W L Bethell; Sarah Clarke; Peter M Schofield; Elaine McKilligin; David E Mosedale; David J Grainger
Journal:  Nat Med       Date:  2002-11-25       Impact factor: 53.440

Review 2.  Metabonomics technologies and their applications in physiological monitoring, drug safety assessment and disease diagnosis.

Authors:  John C Lindon; Elaine Holmes; Mary E Bollard; Elizabeth G Stanley; Jeremy K Nicholson
Journal:  Biomarkers       Date:  2004 Jan-Feb       Impact factor: 2.658

3.  Dietary intake patterns are reflected in metabolomic profiles: potential role in dietary assessment studies.

Authors:  Aifric O'Sullivan; Michael J Gibney; Lorraine Brennan
Journal:  Am J Clin Nutr       Date:  2010-12-22       Impact factor: 7.045

4.  Metabolic signatures of exercise in human plasma.

Authors:  Gregory D Lewis; Laurie Farrell; Malissa J Wood; Maryann Martinovic; Zoltan Arany; Glenn C Rowe; Amanda Souza; Susan Cheng; Elizabeth L McCabe; Elaine Yang; Xu Shi; Rahul Deo; Frederick P Roth; Aarti Asnani; Eugene P Rhee; David M Systrom; Marc J Semigran; Ramachandran S Vasan; Steven A Carr; Thomas J Wang; Marc S Sabatine; Clary B Clish; Robert E Gerszten
Journal:  Sci Transl Med       Date:  2010-05-26       Impact factor: 17.956

5.  A branched-chain amino acid-related metabolic signature that differentiates obese and lean humans and contributes to insulin resistance.

Authors:  Christopher B Newgard; Jie An; James R Bain; Michael J Muehlbauer; Robert D Stevens; Lillian F Lien; Andrea M Haqq; Svati H Shah; Michelle Arlotto; Cris A Slentz; James Rochon; Dianne Gallup; Olga Ilkayeva; Brett R Wenner; William S Yancy; Howard Eisenson; Gerald Musante; Richard S Surwit; David S Millington; Mark D Butler; Laura P Svetkey
Journal:  Cell Metab       Date:  2009-04       Impact factor: 27.287

6.  The E23K variant of Kir6.2 associates with impaired post-OGTT serum insulin response and increased risk of type 2 diabetes.

Authors:  Eva-Maria D Nielsen; Lars Hansen; Bendix Carstensen; Søren M Echwald; Thomas Drivsholm; Charlotte Glümer; Birger Thorsteinsson; Knut Borch-Johnsen; Torben Hansen; Oluf Pedersen
Journal:  Diabetes       Date:  2003-02       Impact factor: 9.461

7.  Genetics meets metabolomics: a genome-wide association study of metabolite profiles in human serum.

Authors:  Christian Gieger; Ludwig Geistlinger; Elisabeth Altmaier; Martin Hrabé de Angelis; Florian Kronenberg; Thomas Meitinger; Hans-Werner Mewes; H-Erich Wichmann; Klaus M Weinberger; Jerzy Adamski; Thomas Illig; Karsten Suhre
Journal:  PLoS Genet       Date:  2008-11-28       Impact factor: 5.917

8.  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

9.  Metabolite profiling identifies candidate markers reflecting the clinical adaptations associated with Roux-en-Y gastric bypass surgery.

Authors:  David M Mutch; Jens C Fuhrmann; Dietrich Rein; Jan C Wiemer; Jean-Luc Bouillot; Christine Poitou; Karine Clément
Journal:  PLoS One       Date:  2009-11-19       Impact factor: 3.240

Review 10.  Measuring the metabolome: current analytical technologies.

Authors:  Warwick B Dunn; Nigel J C Bailey; Helen E Johnson
Journal:  Analyst       Date:  2005-03-04       Impact factor: 4.616

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  74 in total

Review 1.  Clinical metabolomics: the next stage of clinical biochemistry.

Authors:  Angelo D'Alessandro; Bruno Giardina; Federica Gevi; Anna Maria Timperio; Lello Zolla
Journal:  Blood Transfus       Date:  2012-05       Impact factor: 3.443

2.  Metabolomics technology and bioinformatics for precision medicine.

Authors:  Rajeev K Azad; Vladimir Shulaev
Journal:  Brief Bioinform       Date:  2019-11-27       Impact factor: 11.622

Review 3.  Biomarkers in diabetes: hemoglobin A1c, vascular and tissue markers.

Authors:  Timothy J Lyons; Arpita Basu
Journal:  Transl Res       Date:  2012-01-31       Impact factor: 7.012

Review 4.  Can NMR solve some significant challenges in metabolomics?

Authors:  G A Nagana Gowda; Daniel Raftery
Journal:  J Magn Reson       Date:  2015-08-18       Impact factor: 2.229

Review 5.  Perspectives on systems biology applications in diabetic kidney disease.

Authors:  Claudiu V Komorowsky; Frank C Brosius; Subramaniam Pennathur; Matthias Kretzler
Journal:  J Cardiovasc Transl Res       Date:  2012-06-26       Impact factor: 4.132

6.  Metabolite markers of incident CKD risk.

Authors:  Eugene P Rhee; Harold I Feldman
Journal:  Clin J Am Soc Nephrol       Date:  2014-07-10       Impact factor: 8.237

7.  Lipid metabolic networks, Mediterranean diet and cardiovascular disease in the PREDIMED trial.

Authors:  Dong D Wang; Yan Zheng; Estefanía Toledo; Cristina Razquin; Miguel Ruiz-Canela; Marta Guasch-Ferré; Edward Yu; Dolores Corella; Enrique Gómez-Gracia; Miquel Fiol; Ramón Estruch; Emilio Ros; José Lapetra; Montserrat Fito; Fernando Aros; Lluis Serra-Majem; Clary B Clish; Jordi Salas-Salvadó; Liming Liang; Miguel A Martínez-González; Frank B Hu
Journal:  Int J Epidemiol       Date:  2018-12-01       Impact factor: 7.196

Review 8.  An overview of renal metabolomics.

Authors:  Sahir Kalim; Eugene P Rhee
Journal:  Kidney Int       Date:  2016-09-28       Impact factor: 10.612

9.  Biomarker Discovery and Translation in Metabolomics.

Authors:  G A Nagana Gowda; D Raftery
Journal:  Curr Metabolomics       Date:  2013

10.  Plasma acylcarnitines and risk of cardiovascular disease: effect of Mediterranean diet interventions.

Authors:  Marta Guasch-Ferré; Yan Zheng; Miguel Ruiz-Canela; Adela Hruby; Miguel A Martínez-González; Clary B Clish; Dolores Corella; Ramon Estruch; Emilio Ros; Montserrat Fitó; Courtney Dennis; Isabel M Morales-Gil; Fernando Arós; Miquel Fiol; José Lapetra; Lluís Serra-Majem; Frank B Hu; Jordi Salas-Salvadó
Journal:  Am J Clin Nutr       Date:  2016-04-20       Impact factor: 7.045

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