Direct In Vivo Reprogramming with Sendai Virus Vectors Improves Cardiac Function after Myocardial Infarction

Cell Stem Cell. 2018 Jan 4;22(1):91-103.e5. doi: 10.1016/j.stem.2017.11.010. Epub 2017 Dec 21.

Abstract

Direct cardiac reprogramming holds great promise for regenerative medicine. We previously generated directly reprogrammed induced cardiomyocyte-like cells (iCMs) by overexpression of Gata4, Mef2c, and Tbx5 (GMT) using retrovirus vectors. However, integrating vectors pose risks associated with insertional mutagenesis and disruption of gene expression and are inefficient. Here, we show that Sendai virus (SeV) vectors expressing cardiac reprogramming factors efficiently and rapidly reprogram both mouse and human fibroblasts into integration-free iCMs via robust transgene expression. SeV-GMT generated 100-fold more beating iCMs than retroviral-GMT and shortened the duration to induce beating cells from 30 to 10 days in mouse fibroblasts. In vivo lineage tracing revealed that the gene transfer of SeV-GMT was more efficient than retroviral-GMT in reprogramming resident cardiac fibroblasts into iCMs in mouse infarct hearts. Moreover, SeV-GMT improved cardiac function and reduced fibrosis after myocardial infarction. Thus, efficient, non-integrating SeV vectors may serve as a powerful system for cardiac regeneration.

Keywords: Sendai virus; cardiomyocyte; fibroblast; integration; myocardial infarction; regeneration; reprogramming.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Action Potentials
  • Animals
  • Animals, Newborn
  • Cell Lineage
  • Cell Proliferation
  • Cellular Reprogramming*
  • Fibroblasts / metabolism
  • Fibroblasts / pathology
  • Fibrosis
  • Genetic Vectors / metabolism*
  • Humans
  • Mice
  • Myocardial Infarction / pathology*
  • Myocardial Infarction / physiopathology*
  • Myocytes, Cardiac / metabolism
  • Myocytes, Cardiac / pathology
  • Sendai virus / genetics*
  • Transcription Factors / metabolism
  • Transgenes
  • Virion / metabolism

Substances

  • Transcription Factors