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Experimental Heart Failure Models of Cytokine Overexpression

  • Charles F. McTiernan
  • Toshi Kadokami
  • Yun You Li
  • Arthur M. Feldman
Part of the Developments in Cardiovascular Medicine book series (DICM, volume 236)

Abstract

Heart failure secondary to systolic dysfunction is a progressive cardiovascular disease that affects over 5 million people in the U.S. While the initial cause of heart failure in most patients is myocardial damage, the heart usually accommodates to the damage. However, over time, the heart remodels with the development of cardiac dilatation, cellular hypertrophy, cell slippage, diminished adrenergic responsiveness, apoptosis and extracellular matrix fibrosis and restructuring. Over the past decade, there has been a substantive increase in our knowledge of the pathobiology of the development of the heart failure phenotype. This increased knowledge has in part been attributable to advances in the sciences of cell and molecular biology and their application to studies of the failing human heart. However, our improved understanding of the molecular and cellular events leading to the development of heart failure and in particular the transition from compensated to de-compensated myocardial function can also be attributed to studies of new and novel animal models. Indeed, it is studies in animal models that have contributed seminal information regarding the fundamental role of the pro-inflammatory cytokines in the development of the heart failure phenotype. This Chapter will review in detail the observations from animal models that have supported the “Cytokine Hypothesis” of heart failure and will detail how animal models of cytokine over-expression have provided novel experimental platforms for evaluating the efficacy of anti-cytokine pharmacotherapy.

Keywords

Heart Failure Extracellular Matrix Remodel Soluble Tumor Necrosis Factor Receptor Heart Failure Model Adrenergic Responsiveness 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media New York 2001

Authors and Affiliations

  • Charles F. McTiernan
    • 1
  • Toshi Kadokami
    • 1
  • Yun You Li
    • 1
  • Arthur M. Feldman
    • 1
  1. 1.The Cardiovascular Institute of the UPMC Health SystemPittsburghUSA

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