Literature DB >> 20464531

Metabolomics and atherosclerosis.

Sascha N Goonewardena1, Lisa E Prevette, Ankit A Desai.   

Abstract

Metabolites reflect the dynamic processes underlying cellular homeostasis. Recent advances in analytical chemistry and molecular biology have set the stage for metabolite profiling to help us understand complex molecular processes and physiology. Metabolomics is the comparative analysis of metabolite flux and how it relates to biological phenotypes. As an intermediate phenotype, metabolite signatures capture a unique aspect of cellular dynamics that is not typically interrogated, providing a distinct perspective on cellular homeostasis. To date, there have been only a few metabolomics studies investigating cardiovascular diseases. In this review, we explore the principles of metabolomics and how it can provide further insight into the mechanisms of cardiovascular physiology and ultimately lead to improved diagnostic and therapeutic options for patients with cardiovascular disease.

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Year:  2010        PMID: 20464531      PMCID: PMC3616403          DOI: 10.1007/s11883-010-0112-9

Source DB:  PubMed          Journal:  Curr Atheroscler Rep        ISSN: 1523-3804            Impact factor:   5.113


  51 in total

Review 1.  Analytical strategies in metabonomics.

Authors:  Eva Maria Lenz; Ian D Wilson
Journal:  J Proteome Res       Date:  2007-02       Impact factor: 4.466

Review 2.  Data processing for mass spectrometry-based metabolomics.

Authors:  Mikko Katajamaa; Matej Oresic
Journal:  J Chromatogr A       Date:  2007-04-19       Impact factor: 4.759

3.  Association of the Trp719Arg polymorphism in kinesin-like protein 6 with myocardial infarction and coronary heart disease in 2 prospective trials: the CARE and WOSCOPS trials.

Authors:  Olga A Iakoubova; Carmen H Tong; Charles M Rowland; Todd G Kirchgessner; Bradford A Young; Andre R Arellano; Dov Shiffman; Marc S Sabatine; Hannia Campos; Christopher J Packard; Marc A Pfeffer; Thomas J White; Eugene Braunwald; James Shepherd; James J Devlin; Frank M Sacks
Journal:  J Am Coll Cardiol       Date:  2008-01-29       Impact factor: 24.094

4.  Mining biological networks for unknown pathways.

Authors:  Ali Cakmak; Gultekin Ozsoyoglu
Journal:  Bioinformatics       Date:  2007-08-30       Impact factor: 6.937

Review 5.  Mechanisms of disease:Molecular and metabolic mechanisms of insulin resistance and beta-cell failure in type 2 diabetes.

Authors:  Deborah M Muoio; Christopher B Newgard
Journal:  Nat Rev Mol Cell Biol       Date:  2008-03       Impact factor: 94.444

6.  Metabolite profiling of blood from individuals undergoing planned myocardial infarction reveals early markers of myocardial injury.

Authors:  Gregory D Lewis; Ru Wei; Emerson Liu; Elaine Yang; Xu Shi; Maryann Martinovic; Laurie Farrell; Aarti Asnani; Marcoli Cyrille; Arvind Ramanathan; Oded Shaham; Gabriel Berriz; Patricia A Lowry; Igor F Palacios; Murat Taşan; Frederick P Roth; Jiangyong Min; Christian Baumgartner; Hasmik Keshishian; Terri Addona; Vamsi K Mootha; Anthony Rosenzweig; Steven A Carr; Michael A Fifer; Marc S Sabatine; Robert E Gerszten
Journal:  J Clin Invest       Date:  2008-10       Impact factor: 14.808

7.  A kinesin family member 6 variant is associated with coronary heart disease in the Women's Health Study.

Authors:  Dov Shiffman; Daniel I Chasman; Robert Y L Zee; Olga A Iakoubova; Judy Z Louie; James J Devlin; Paul M Ridker
Journal:  J Am Coll Cardiol       Date:  2008-01-29       Impact factor: 24.094

Review 8.  Innate immune signals in atherosclerosis.

Authors:  Anna M Lundberg; Göran K Hansson
Journal:  Clin Immunol       Date:  2009-09-09       Impact factor: 3.969

9.  Dietary carbohydrate modification alters serum metabolic profiles in individuals with the metabolic syndrome.

Authors:  M Lankinen; U Schwab; P V Gopalacharyulu; T Seppänen-Laakso; L Yetukuri; M Sysi-Aho; P Kallio; T Suortti; D E Laaksonen; H Gylling; K Poutanen; M Kolehmainen; M Oresic
Journal:  Nutr Metab Cardiovasc Dis       Date:  2009-06-23       Impact factor: 4.222

10.  Atherosclerosis and liver inflammation induced by increased dietary cholesterol intake: a combined transcriptomics and metabolomics analysis.

Authors:  Robert Kleemann; Lars Verschuren; Marjan J van Erk; Yuri Nikolsky; Nicole H P Cnubben; Elwin R Verheij; Age K Smilde; Henk F J Hendriks; Susanne Zadelaar; Graham J Smith; Valery Kaznacheev; Tatiana Nikolskaya; Anton Melnikov; Eva Hurt-Camejo; Jan van der Greef; Ben van Ommen; Teake Kooistra
Journal:  Genome Biol       Date:  2007       Impact factor: 13.583

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  22 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

2.  Glycosphingolipids promote pro-atherogenic pathways in the pathogenesis of hyperglycemia-induced accelerated atherosclerosis.

Authors:  Vi T Dang; Lexy H Zhong; Aric Huang; Arlinda Deng; Geoff H Werstuck
Journal:  Metabolomics       Date:  2018-07-03       Impact factor: 4.290

Review 3.  Functional genomics applied to cardiovascular medicine.

Authors:  Thomas P Cappola; Kenneth B Margulies
Journal:  Circulation       Date:  2011-07-05       Impact factor: 29.690

4.  Intervention Trials with the Mediterranean Diet in Cardiovascular Prevention: Understanding Potential Mechanisms through Metabolomic Profiling.

Authors:  Miguel Á Martínez-González; Miguel Ruiz-Canela; Adela Hruby; Liming Liang; Antonia Trichopoulou; Frank B Hu
Journal:  J Nutr       Date:  2015-04-01       Impact factor: 4.798

Review 5.  Reverse-engineering human regulatory networks.

Authors:  Celine Lefebvre; Gabrielle Rieckhof; Andrea Califano
Journal:  Wiley Interdiscip Rev Syst Biol Med       Date:  2012-01-13

Review 6.  New technologies personalize diagnostics and therapeutics.

Authors:  Robert S Rosenson
Journal:  Curr Atheroscler Rep       Date:  2010-05       Impact factor: 5.113

7.  The heritability of metabolic profiles in newborn twins.

Authors:  F Y Alul; D E Cook; O A Shchelochkov; L G Fleener; S L Berberich; J C Murray; K K Ryckman
Journal:  Heredity (Edinb)       Date:  2012-11-14       Impact factor: 3.821

8.  Application of comprehensive two-dimensional gas chromatography with time-of-flight mass spectrometry method to identify potential biomarkers of perinatal asphyxia in a non-human primate model.

Authors:  Andrew C Beckstrom; Elizabeth M Humston; Laura R Snyder; Robert E Synovec; Sandra E Juul
Journal:  J Chromatogr A       Date:  2011-02-25       Impact factor: 4.759

9.  Systems mapping of metabolic genes through control theory.

Authors:  Guodong Liu; Lan Kong; Zhong Wang; Chenguang Wang; Rongling Wu
Journal:  Adv Drug Deliv Rev       Date:  2013-04-17       Impact factor: 15.470

10.  Evaluation of Multivariate Classification Models for Analyzing NMR Metabolomics Data.

Authors:  Thao Vu; Parker Siemek; Fatema Bhinderwala; Yuhang Xu; Robert Powers
Journal:  J Proteome Res       Date:  2019-08-22       Impact factor: 4.466

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