Literature DB >> 20411053

Systems biology in heart diseases.

G E Louridas1, I E Kanonidis, K G Lourida.   

Abstract

Systems biology based on integrative computational analysis and high technology is in a position to construct networks, to study the interactions between molecular components and to develop models of cardiac function and anatomy. Clinical cardiology gets an integrated picture of parameters that are addressed to ventricular and vessel mechanics, cardiac metabolism and electrical activation. The achievement of clinical objectives is based on the interaction between modern technology and clinical phenotype. In this review the need for more sophisticated realization of the structure and function of the cardiovascular system is emphasized while the incorporation of the systems biology concept in predicting clinical phenotypes is a promising strategy that optimize diagnosis and treatment in cardiovascular disease.

Entities:  

Keywords:  cardiac models; clinical phenotypes; network biology; systems biology

Year:  2010        PMID: 20411053      PMCID: PMC2843564     

Source DB:  PubMed          Journal:  Hippokratia        ISSN: 1108-4189            Impact factor:   0.471


  71 in total

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Authors: 
Journal:  Science       Date:  1999-10-15       Impact factor: 47.728

Review 2.  Sarcomere length changes in a 3D mathematical model of the pig ventricles.

Authors:  Carey Stevens; Peter J Hunter
Journal:  Prog Biophys Mol Biol       Date:  2003 May-Jul       Impact factor: 3.667

3.  Building with a scaffold: emerging strategies for high- to low-level cellular modeling.

Authors:  Trey Ideker; Douglas Lauffenburger
Journal:  Trends Biotechnol       Date:  2003-06       Impact factor: 19.536

Review 4.  Cardiac physiology at the cellular level: use of cultured HL-1 cardiomyocytes for studies of cardiac muscle cell structure and function.

Authors:  Steven M White; Phillip E Constantin; William C Claycomb
Journal:  Am J Physiol Heart Circ Physiol       Date:  2004-03       Impact factor: 4.733

Review 5.  Network biology: understanding the cell's functional organization.

Authors:  Albert-László Barabási; Zoltán N Oltvai
Journal:  Nat Rev Genet       Date:  2004-02       Impact factor: 53.242

6.  Cardiac action and pacemaker potentials based on the Hodgkin-Huxley equations.

Authors:  D NOBLE
Journal:  Nature       Date:  1960-11-05       Impact factor: 49.962

Review 7.  Approaches to modeling crossbridges and calcium-dependent activation in cardiac muscle.

Authors:  John Jeremy Rice; Pieter P de Tombe
Journal:  Prog Biophys Mol Biol       Date:  2004 Jun-Jul       Impact factor: 3.667

8.  "Chip"ping away at heart failure.

Authors:  J David Barrans; Choong-Chin Liew
Journal:  Methods Mol Med       Date:  2006

Review 9.  The model organism as a system: integrating 'omics' data sets.

Authors:  Andrew R Joyce; Bernhard Ø Palsson
Journal:  Nat Rev Mol Cell Biol       Date:  2006-03       Impact factor: 94.444

10.  A simulation study of the effects of cardiac anatomy in ventricular fibrillation.

Authors:  Fagen Xie; Zhilin Qu; Junzhong Yang; Ali Baher; James N Weiss; Alan Garfinkel
Journal:  J Clin Invest       Date:  2004-03       Impact factor: 14.808

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  3 in total

1.  The new biology: a bridge to clinical cardiology.

Authors:  Ge Louridas; Kg Lourida
Journal:  Hippokratia       Date:  2012-04       Impact factor: 0.471

Review 2.  Systems biology and biomechanical model of heart failure.

Authors:  George E Louridas; Katerina G Lourida
Journal:  Curr Cardiol Rev       Date:  2012-08

Review 3.  The Personalization of Clopidogrel Antiplatelet Therapy: The Role of Integrative Pharmacogenetics and Pharmacometabolomics.

Authors:  Arwa M Amin; Lim Sheau Chin; Dzul Azri Mohamed Noor; Muhamad Ali Sk Abdul Kader; Yuen Kah Hay; Baharudin Ibrahim
Journal:  Cardiol Res Pract       Date:  2017-03-21       Impact factor: 1.866

  3 in total

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