Literature DB >> 22468894

The emerging role of plasma lipidomics in cardiovascular drug discovery.

Rishi Puri1, MyNgan Duong, Kiyoko Uno, Yu Kataoka, Stephen J Nicholls.   

Abstract

INTRODUCTION: With the rising global incidence of cardiovascular disease, the challenge for the pharmaceutical industry is to identify novel biomarkers that will allow not only for the development of the next generation of cardiometabolic therapeutics, but also to serve as a sensitive mechanism to monitor and predict drug efficacy and potential toxicity. The advent of an 'omics' (systems biological) approach has vast implications for future disease treatment and prevention. Lipidomics is the latest addition to the 'omics' family and is rapidly gaining attention due to the technological improvements in mass spectrometry, allowing for the characterization of large number of lipids (and their respective subclasses) in a short amount of time with relatively minimal preparation. AREAS COVERED: The authors discuss the various techniques involved in plasma lipidomics as well as outline the role that lipidomics will play in phenotyping disease processes and corresponding therapeutic strategies. The article was formed through comprehensive Medline search of relevant publications in this area. EXPERT OPINION: Despite the wealth of data that will emerge regarding the various lipid-molecular interactions and the functions of lipids within cells, a major challenge will be the parallel emergence of novel bioinformatics platforms in order to integrate this enormous data set with information generated from the emerging fields of genomics and proteomic analysis. Despite these challenges, lipidomics is likely to result in the reclassification of diseases from a molecular perspective and play a key role the eventuation of personalized medicine.

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Year:  2011        PMID: 22468894     DOI: 10.1517/17460441.2012.644041

Source DB:  PubMed          Journal:  Expert Opin Drug Discov        ISSN: 1746-0441            Impact factor:   6.098


  9 in total

1.  Human plasma lipidome is pleiotropically associated with cardiovascular risk factors and death.

Authors:  Claire Bellis; Hemant Kulkarni; Manju Mamtani; Jack W Kent; Gerard Wong; Jacquelyn M Weir; Christopher K Barlow; Vincent Diego; Marcio Almeida; Thomas D Dyer; Harald H H Göring; Laura Almasy; Michael C Mahaney; Anthony G Comuzzie; Sarah Williams-Blangero; Peter J Meikle; John Blangero; Joanne E Curran
Journal:  Circ Cardiovasc Genet       Date:  2014-11-02

2.  Plasma lipidome is independently associated with variability in metabolic syndrome in Mexican American families.

Authors:  Hemant Kulkarni; Peter J Meikle; Manju Mamtani; Jacquelyn M Weir; Marcio Almeida; Vincent Diego; Juan Manuel Peralta; Christopher K Barlow; Claire Bellis; Thomas D Dyer; Laura Almasy; Michael C Mahaney; Anthony G Comuzzie; Harald H H Göring; Joanne E Curran; John Blangero
Journal:  J Lipid Res       Date:  2014-03-13       Impact factor: 5.922

Review 3.  Potential Impact and Study Considerations of Metabolomics in Cardiovascular Health and Disease: A Scientific Statement From the American Heart Association.

Authors:  Susan Cheng; Svati H Shah; Elizabeth J Corwin; Oliver Fiehn; Robert L Fitzgerald; Robert E Gerszten; Thomas Illig; Eugene P Rhee; Pothur R Srinivas; Thomas J Wang; Mohit Jain
Journal:  Circ Cardiovasc Genet       Date:  2017-04

4.  Plasma lipidomic profile signature of hypertension in Mexican American families: specific role of diacylglycerols.

Authors:  Hemant Kulkarni; Peter J Meikle; Manju Mamtani; Jacquelyn M Weir; Christopher K Barlow; Jeremy B Jowett; Claire Bellis; Thomas D Dyer; Matthew P Johnson; David L Rainwater; Laura Almasy; Michael C Mahaney; Anthony G Comuzzie; John Blangero; Joanne E Curran
Journal:  Hypertension       Date:  2013-06-24       Impact factor: 10.190

Review 5.  Lipidomics: Techniques, Applications, and Outcomes Related to Biomedical Sciences.

Authors:  Kui Yang; Xianlin Han
Journal:  Trends Biochem Sci       Date:  2016-09-20       Impact factor: 13.807

Review 6.  Human biomarkers of rapid antidepressant effects.

Authors:  Carlos A Zarate; Daniel C Mathews; Maura L Furey
Journal:  Biol Psychiatry       Date:  2013-01-29       Impact factor: 13.382

7.  Seeking a unique lipid signature predicting cardiovascular disease risk.

Authors:  J Mark Brown; Stanley L Hazen
Journal:  Circulation       Date:  2014-03-12       Impact factor: 29.690

Review 8.  Molecular nutrition research: the modern way of performing nutritional science.

Authors:  Frode Norheim; Ingrid Merethe Fange Gjelstad; Marit Hjorth; Kathrine J Vinknes; Torgrim M Langleite; Torgeir Holen; Jørgen Jensen; Knut Tomas Dalen; Anette S Karlsen; Anders Kielland; Arild C Rustan; Christian A Drevon
Journal:  Nutrients       Date:  2012-12-03       Impact factor: 5.717

9.  An automated shotgun lipidomics platform for high throughput, comprehensive, and quantitative analysis of blood plasma intact lipids.

Authors:  Michal A Surma; Ronny Herzog; Andrej Vasilj; Christian Klose; Nicolas Christinat; Delphine Morin-Rivron; Kai Simons; Mojgan Masoodi; Julio L Sampaio
Journal:  Eur J Lipid Sci Technol       Date:  2015-07-20       Impact factor: 2.679

  9 in total

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