Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

Myocardial Gene Expression Profiling to Predict and Identify Cardiac Allograft Acute Cellular Rejection


ABSTRACT: Aims. Serial invasive endomyocardial biopsies (EMB) remain the gold standard for acute cellular rejection (ACR) diagnosis. However histological grading has several limitations. We aimed to explore the value of myocardial Gene Expression Profiling (GEP) for diagnosing and identifying predictive biomarkers of ACR. Methods. A case-control study nested within a retrospective heart transplant patients cohort included 126 patients with median (IQR) age 50 (41-57) years and 111 (88%) males. Among 1157 EMB performed, 467 were eligible (i.e, corresponding to either ISHLT grade 0 or ≥3A), among which 36 were selected for GEP according to the grading: 0 (CISHLT, n= 13); rejection ≥3A (RISHLT, n=13); 0 one month before ACR (BRISHLT, n=10). Results. We found 294 genes differentially expressed bet

ORGANISM(S): Homo sapiens

SUBMITTER: Diane Bodez 

PROVIDER: E-MTAB-5136 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress