Literature DB >> 19324252

Genomics and cardiovascular drug development.

Andrew S Plump1, Pek Yee Lum.   

Abstract

In the last half century, phenomenal advances have been made in understanding the pathophysiology of cardiovascular disease and in developing therapies to reduce cardiovascular risk. Nevertheless, cardiovascular disease remains the leading cause of death and morbidity in the industrialized world, with rapidly rising prevalence in developing countries, accounting for approximately 30% of all deaths worldwide. Since the initial availability of statin drugs in 1987, few novel cardiovascular therapies have emerged. Whereas statins reduce the mortality and morbidity from atherosclerotic heart disease by approximately 30%, the staggering 70% residual cardiovascular risk underscores the persistent need for novel therapies. Substantial advances in genomic research offer promise to greatly facilitate cardiovascular drug development. Over the past decade, often termed "the genomics revolution," such advancements as the emergence of genome-wide genotyping in humans, the industrialization of messenger ribonucleic acid expression profiling, and the maturation of proteomic and metabolomic methodologies have been made. In addition, the advancement of informatics to allow the intersection of multiple complex datasets has led to the field of systems biology. Genomic approaches are already being utilized to drive novel compound pipelines by helping with the identification and validation of novel targets. In the future, the study of genomics is expected to support biomarker discovery and development and the identification of responder patient segments. The focus of the present review is the application of genomics to the development of novel atherosclerosis therapies.

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Year:  2009        PMID: 19324252     DOI: 10.1016/j.jacc.2008.11.050

Source DB:  PubMed          Journal:  J Am Coll Cardiol        ISSN: 0735-1097            Impact factor:   24.094


  7 in total

1.  Report of the National Heart, Lung, and Blood Institute working group on the translation of cardiovascular molecular imaging.

Authors:  Denis B Buxton; Melissa Antman; Narasimhan Danthi; Vasken Dilsizian; Zahi A Fayad; Mario J Garcia; Michael R Jaff; Michael Klimas; Peter Libby; Matthias Nahrendorf; Albert J Sinusas; Samuel A Wickline; Joseph C Wu; Robert O Bonow; Ralph Weissleder
Journal:  Circulation       Date:  2011-05-17       Impact factor: 29.690

Review 2.  Preclinical mouse models and methods for the discovery of the causes and treatments of atherosclerosis.

Authors:  Bernd Hewing; Edward A Fisher
Journal:  Expert Opin Drug Discov       Date:  2012-02-10       Impact factor: 6.098

Review 3.  Peroxisome proliferator-activated receptors, metabolic syndrome and cardiovascular disease.

Authors:  Salman Azhar
Journal:  Future Cardiol       Date:  2010-09

Review 4.  Integrating genomics with biomarkers and therapeutic targets to invigorate cardiovascular drug development.

Authors:  Michael V Holmes; Tom G Richardson; Brian A Ference; Neil M Davies; George Davey Smith
Journal:  Nat Rev Cardiol       Date:  2021-03-11       Impact factor: 32.419

5.  Target network differences between western drugs and Chinese herbal ingredients in treating cardiovascular disease.

Authors:  Peng Fu; Linlin Yang; Yi Sun; Li Ye; Zhiwei Cao; Kailin Tang
Journal:  BMC Bioinformatics       Date:  2014-03-19       Impact factor: 3.169

6.  Segregation of LIPG, CETP, and GALNT2 mutations in Caucasian families with extremely high HDL cholesterol.

Authors:  Ian Tietjen; G Kees Hovingh; Roshni R Singaraja; Chris Radomski; Amina Barhdadi; Jason McEwen; Elden Chan; Maryanne Mattice; Annick Legendre; Patrick L Franchini; Marie-Pierre Dubé; John J P Kastelein; Michael R Hayden
Journal:  PLoS One       Date:  2012-08-27       Impact factor: 3.240

7.  The chemopreventive potential of lycopene against atrazine-induced cardiotoxicity: modulation of ionic homeostasis.

Authors:  Jia Lin; Hui-Xin Li; Jun Xia; Xue-Nan Li; Xiu-Qing Jiang; Shi-Yong Zhu; Jing Ge; Jin-Long Li
Journal:  Sci Rep       Date:  2016-04-26       Impact factor: 4.379

  7 in total

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