Gene expression analysis of primary graft dysfunction in adult heart transplant recipients: A cohort study

Samuel Padovani Steffen1,2, Alvaro Monteiro Perazzo1,2,3, Shirlyne Fabianni Dias Gaspar1,2

  • 1Heart Transplant Unit, Heart Institute of Clinical Hospital of University of Sao Paulo Medical School, Sao Paulo, Brazil.

JHLT Open
|June 16, 2025
PubMed

Insights

Primary graft dysfunction (PGD) in heart transplantation involves distinct gene expression profiles. MYL4 gene expression was lower, while B3GALT5 was higher in PGD patients, offering potential biomarkers for this condition.

Area of Science:

  • Cardiology
  • Transplantation Immunology
  • Genomics

Background:

  • Primary graft dysfunction (PGD) is the leading cause of early mortality after cardiac transplantation.
  • Ischemia/reperfusion injury is a key factor in PGD pathogenesis, exacerbated by donor heart stresses.
  • Understanding PGD pathophysiology is crucial for improving graft survival.

Purpose of the Study:

  • To evaluate gene expression profiles in heart transplant patients with PGD.
  • To compare transcriptomic data between PGD and non-PGD groups.
  • To identify potential gene expression biomarkers for PGD.

Main Methods:

  • Transcriptomic analysis of myocardial biopsies from adult heart transplant recipients.
  • Inclusion of 20 consecutive patients diagnosed with PGD based on established criteria.
  • Evaluation of clinical and laboratory data from donors and recipients.

Main Results:

  • Significant differences in gene expression were observed between PGD and non-PGD patients.
  • MYL4 gene expression was significantly lower in patients with PGD.
  • B3GALT5 gene expression was significantly higher in patients with PGD, linked to inflammatory response.

Conclusions:

  • Gene expression profiles differ significantly in heart transplant recipients with PGD.
  • MYL4 and B3GALT5 represent potential molecular markers for PGD.
  • Further research into gene expression may elucidate PGD pathophysiology and identify diagnostic biomarkers.
Abstract