Literature DB >> 18923935

Peripheral blood gene expression profiling for cardiovascular disease assessment.

Hamza Aziz1, Aimee Zaas, Geoffrey S Ginsburg.   

Abstract

Whole blood gene expression profiling has the potential to be informative about dynamic changes in disease states and to provide information on underlying disease mechanisms. Having demonstrated proof of concept in animal models, a number of studies have now tried to tackle the complexity of cardiovascular disease in human hosts to develop better diagnostic and prognostic indicators. These studies show that genomic signatures are capable of classifying patients with cardiovascular diseases into finer categories based on the molecular architecture of a patient's disease and more accurately predict the likelihood of a cardiovascular event than current techniques. To highlight the spectrum of potential applications of whole blood gene expression profiling approach in cardiovascular science, we have chosen to review the findings in a number of complex cardiovascular diseases such as atherosclerosis, hypertension and myocardial infarction as well as thromboembolism, aortic aneurysm, and heart transplant.

Entities:  

Year:  2008        PMID: 18923935      PMCID: PMC2269039          DOI: 10.1007/s11568-008-9017-x

Source DB:  PubMed          Journal:  Genomic Med        ISSN: 1871-7934


  41 in total

1.  Gene profiling identifies secreted protein transcripts from peripheral blood cells in coronary artery disease.

Authors:  Jun Ma; Choong-Chin Liew
Journal:  J Mol Cell Cardiol       Date:  2003-08       Impact factor: 5.000

2.  Gene microarray analysis of peripheral blood cells in pulmonary arterial hypertension.

Authors:  Todd M Bull; Christopher D Coldren; Mark Moore; Sylk M Sotto-Santiago; David V Pham; S Patrick Nana-Sinkam; Norbert F Voelkel; Mark W Geraci
Journal:  Am J Respir Crit Care Med       Date:  2004-06-23       Impact factor: 21.405

3.  Differential gene expression of blood-derived cell lines in familial combined hyperlipidemia.

Authors:  Fulvio Morello; Tjerk W A de Bruin; Jerome I Rotter; Richard E Pratt; Carla J H van der Kallen; Gary A Hladik; Victor J Dzau; Choong-Chin Liew; Yii-Der I Chen
Journal:  Arterioscler Thromb Vasc Biol       Date:  2004-09-23       Impact factor: 8.311

4.  Smokers and passive smokers gene expression profiles: correlation with the DNA oxidation damage.

Authors:  Maura Lodovici; Cristina Luceri; Carlotta De Filippo; Chiara Romualdi; Franco Bambi; Piero Dolara
Journal:  Free Radic Biol Med       Date:  2007-04-29       Impact factor: 7.376

5.  Blood gene expression profiling in liver transplant recipients with hepatitis C virus and posttransplantation diabetes mellitus.

Authors:  C J Driscoll; A K Cashion; D K Hathaway; C Thompson; Y Conley; C Riely; L Xu; R Homayouni
Journal:  Transplant Proc       Date:  2006-12       Impact factor: 1.066

6.  The economic implications of noninvasive molecular testing for cardiac allograft rejection.

Authors:  Roger W Evans; Gavin E Williams; Helen M Baron; Mario C Deng; Howard J Eisen; Sharon A Hunt; Mahmud M Khan; Jon A Kobashigawa; Eric N Marton; Mandeep R Mehra; Seema R Mital
Journal:  Am J Transplant       Date:  2005-06       Impact factor: 8.086

Review 7.  Epidemiology and risk factors for venous thrombosis.

Authors:  Mary Cushman
Journal:  Semin Hematol       Date:  2007-04       Impact factor: 3.851

8.  Seventh report of the Joint National Committee on Prevention, Detection, Evaluation, and Treatment of High Blood Pressure.

Authors:  Aram V Chobanian; George L Bakris; Henry R Black; William C Cushman; Lee A Green; Joseph L Izzo; Daniel W Jones; Barry J Materson; Suzanne Oparil; Jackson T Wright; Edward J Roccella
Journal:  Hypertension       Date:  2003-12-01       Impact factor: 10.190

9.  Gene expression signatures that predict radiation exposure in mice and humans.

Authors:  Holly K Dressman; Garrett G Muramoto; Nelson J Chao; Sarah Meadows; Dawn Marshall; Geoffrey S Ginsburg; Joseph R Nevins; John P Chute
Journal:  PLoS Med       Date:  2007-04       Impact factor: 11.069

10.  Identification of blood biomarkers of rheumatoid arthritis by transcript profiling of peripheral blood mononuclear cells from the rat collagen-induced arthritis model.

Authors:  Jianyong Shou; Christopher M Bull; Li Li; Hui-Rong Qian; Tao Wei; Shuang Luo; Douglas Perkins; Patricia J Solenberg; Seng-Lai Tan; Xin-Yi Cynthia Chen; Neal W Roehm; Jeffrey A Wolos; Jude E Onyia
Journal:  Arthritis Res Ther       Date:  2006-01-10       Impact factor: 5.156

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  46 in total

1.  Transforming the practice of medicine using genomics.

Authors:  Geoffrey S Ginsburg; Geoffrey S Ginsburg; Jeanette J McCarthy
Journal:  Clin Cases Miner Bone Metab       Date:  2009-01

2.  LncRNA MIAT/miR-133a-3p axis regulates atrial fibrillation and atrial fibrillation-induced myocardial fibrosis.

Authors:  Lixia Yao; Bolun Zhou; Ling You; Haijuan Hu; Ruiqin Xie
Journal:  Mol Biol Rep       Date:  2020-03-04       Impact factor: 2.316

3.  Whole blood gene expression analyses in patients with single versus recurrent venous thromboembolism.

Authors:  Deborah A Lewis; Gregg J Stashenko; Olga M Akay; Lulit I Price; Kouros Owzar; Geoffrey S Ginsburg; Jen-Tsan Chi; Thomas L Ortel
Journal:  Thromb Res       Date:  2011-07-07       Impact factor: 3.944

4.  Prediction of ischemic events on the basis of transcriptomic and genomic profiling in patients undergoing carotid endarterectomy.

Authors:  Lasse Folkersen; Jonas Persson; Johan Ekstrand; Hanna E Agardh; Göran K Hansson; Anders Gabrielsen; Ulf Hedin; Gabrielle Paulsson-Berne
Journal:  Mol Med       Date:  2012-05-09       Impact factor: 6.354

Review 5.  Insight into atrial fibrillation through analysis of the coding transcriptome in humans.

Authors:  Marja Steenman
Journal:  Biophys Rev       Date:  2020-07-15

6.  Integrated microRNA-mRNA analysis of coronary artery disease.

Authors:  Fei Chen; Xin Zhao; Juan Peng; LinPing Bo; Bing Fan; Duan Ma
Journal:  Mol Biol Rep       Date:  2014-06-10       Impact factor: 2.316

7.  Peripheral blood gene expression patterns discriminate among chronic inflammatory diseases and healthy controls and identify novel targets.

Authors:  Bertalan Mesko; Szilard Poliska; Andrea Szegedi; Zoltan Szekanecz; Karoly Palatka; Maria Papp; Laszlo Nagy
Journal:  BMC Med Genomics       Date:  2010-05-05       Impact factor: 3.063

8.  Gene expression profiling in whole blood of patients with coronary artery disease.

Authors:  Chiara Taurino; William H Miller; Martin W McBride; John D McClure; Raya Khanin; María U Moreno; Jane A Dymott; Christian Delles; Anna F Dominiczak
Journal:  Clin Sci (Lond)       Date:  2010-07-09       Impact factor: 6.124

9.  cDNA targets improve whole blood gene expression profiling and enhance detection of pharmocodynamic biomarkers: a quantitative platform analysis.

Authors:  Mark L Parrish; Chris Wright; Yarek Rivers; David Argilla; Heather Collins; Brendan Leeson; Andrey Loboda; Michael Nebozhyn; Matthew J Marton; Serguei Lejnine
Journal:  J Transl Med       Date:  2010-09-25       Impact factor: 5.531

10.  Gene expression patterns in peripheral blood correlate with the extent of coronary artery disease.

Authors:  Peter R Sinnaeve; Mark P Donahue; Peter Grass; David Seo; Jacky Vonderscher; Salah-Dine Chibout; William E Kraus; Michael Sketch; Charlotte Nelson; Geoffrey S Ginsburg; Pascal J Goldschmidt-Clermont; Christopher B Granger
Journal:  PLoS One       Date:  2009-09-14       Impact factor: 3.240

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