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Considerations for the Bioengineering of Advanced Cardiac In Vitro Models of Myocardial Infarction

期刊

SMALL
卷 17, 期 15, 页码 -

出版社

WILEY-V C H VERLAG GMBH
DOI: 10.1002/smll.202003765

关键词

3D cardiac cultures; advanced cardiac models; in vitro and in vivo models; myocardial infarction

资金

  1. UNIPRS
  2. UNRS Central & Faculty School (University of Newcastle, Australia) [UNRSC5050]
  3. University of Sydney Kick-Start Grant
  4. CDIP Grant
  5. Cardiothoracic Surgery Research Grant
  6. UTS Seed Funding
  7. Catholic Archdiocese of Sydney Grant for Adult Stem Cell Research

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Myocardial infarction (MI) remains a major global cause of death despite advances in cardiovascular medicine, with reperfusion of the myocardium causing detrimental changes known as reperfusion injury. Current models of ischemia/reperfusion injury do not accurately represent this complex scenario, necessitating the development of more clinically relevant bioengineered in vitro models of the human heart.
Despite the latest advances in cardiovascular biology and medicine, myocardial infarction (MI) remains one of the major causes of deaths worldwide. While reperfusion of the myocardium is critical to limit the ischemic damage typical of a MI event, it causes detrimental morphological and functional changes known as reperfusion injury. This complex scenario is poorly represented in currently available models of ischemia/reperfusion injury, leading to a poor translation of findings from the bench to the bedside. However, more recent bioengineered in vitro models of the human heart represent more clinically relevant tools to prevent and treat MI in patients. These include 3D cultures of cardiac cells, the use of patient-derived stem cells, and 3D bioprinting technology. This review aims at highlighting the major features typical of a heart attack while comparing current in vitro, ex vivo, and in vivo models. This information has the potential to further guide in developing novel advanced in vitro cardiac models of ischemia/reperfusion injury. It may pave the way for the generation of advanced pathophysiological cardiac models with the potential to develop personalized therapies.

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