Unsupervised mRNA-seq classification of heart transplant endomyocardial biopsies.

ABSTRACT:

Background

Endomyocardial biopsy (EMB) is currently considered the gold standard for diagnosing cardiac allograft rejection. However, significant limitations related to histological interpretation variability are well-recognized. We sought to develop a methodology to evaluate EMB solely based on gene expression, without relying on histology interpretation.

Methods

Sixty-four EMBs were obtained from 47 post-heart transplant recipients, who were evaluated for allograft rejection. EMBs were subjected to mRNA sequencing, in which an unsupervised classification algorithm was used to identify the molecular signatures that best classified the EMBs. Cytokine and natriuretic peptide peripheral blood profiling was also performed. Subsequently, we performed gene network analysis to ide

SUBMITTER: Romero E 

PROVIDER: S-EPMC10524567 | biostudies-literature | 2023 Sep

REPOSITORIES: biostudies-literature