Literature DB >> 29987807

Experimental Models of Cardiovascular Diseases: Overview.

Jae Gyun Oh1, Kiyotake Ishikawa2.   

Abstract

Cardiovascular disease is one of the most common causes of deaths in clinics. Experimental models of cardiovascular diseases are essential to understand disease mechanism, to provide accurate diagnoses, and to develop new therapies. Large numbers of experimental models have been proposed and replicated by many laboratories in the past. Models with significant advantages are chosen and became more popular. Particularly, feasibility, reproducibility, and human disease resemblance are the common key factors for frequently used cardiovascular disease models. In this chapter, we provide a brief overview of these experimental models used for in vitro, in vivo, and in silico studies of cardiovascular diseases.

Entities:  

Keywords:  Animal model; Cardiomyocyte; Electrophysiology; Heart failure; Large animals; Left ventricle; Modeling; Myocardial infarction; Pulmonary hypertension; Rodents

Mesh:

Year:  2018        PMID: 29987807     DOI: 10.1007/978-1-4939-8597-5_1

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  3 in total

1.  Quantitative analysis of variability in an integrated model of human ventricular electrophysiology and β-adrenergic signaling.

Authors:  Jingqi Q X Gong; Monica E Susilo; Anna Sher; Cynthia J Musante; Eric A Sobie
Journal:  J Mol Cell Cardiol       Date:  2020-04-21       Impact factor: 5.000

Review 2.  Alternative strategies in cardiac preclinical research and new clinical trial formats.

Authors:  Fabian Philipp Kreutzer; Anna Meinecke; Kevin Schmidt; Jan Fiedler; Thomas Thum
Journal:  Cardiovasc Res       Date:  2022-02-21       Impact factor: 10.787

3.  Cardiac Ischemia On-a-Chip: Antiarrhythmic Effect of Levosimendan on Ischemic Human-Induced Pluripotent Stem Cell-Derived Cardiomyocytes.

Authors:  Mahmoud Gaballah; Kirsi Penttinen; Joose Kreutzer; Antti-Juhana Mäki; Pasi Kallio; Katriina Aalto-Setälä
Journal:  Cells       Date:  2022-03-19       Impact factor: 6.600

  3 in total

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