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Identifying low-grade cellular rejection after heart transplantation in children by using gene expression profiling.
- Source :
-
Physiological genomics [Physiol Genomics] 2018 Mar 01; Vol. 50 (3), pp. 190-196. Date of Electronic Publication: 2017 Dec 20. - Publication Year :
- 2018
-
Abstract
- Endomyocardial biopsy (EMB) remains the gold standard for detecting rejection after heart transplantation but is costly and invasive. This study aims to distinguish no rejection (0R) from low-grade rejection (1R/2R) after heart transplantation in children by using global gene expression profiling in blood. A total of 106 blood samples with corresponding EMB from 18 children who underwent heart transplantation from 2011 to 2014 were analyzed (18 baseline/pretransplantation samples, 88 EMB samples). Corresponding rejection grades for each blood sample were 0R in 39% (34/88), 1R in 51% (45/88), and 2R in 10% (9/88). mRNA from each sample was sequenced. Differential expression analysis was performed at the gene level. A k-nearest neighbor (kNN) analysis was applied to the most differentially expressed (DE) genes to identify rejection after transplantation. Mean age at transplantation was 10.0â±â5.4 yr. Expression of B cell and T cell receptor sequences was used to measure the effect of posttransplantation immunosuppression. Follow-up samples had lower levels of immunoglobulin gene families compared with pretransplantation ( P < 3E-5) (lower numbers of activated B cells). T cell receptor alpha and beta gene families had decreased expression in 0R samples compared with pretransplantation ( P < 4E-5) but recovered to near baseline levels in 1R/2R samples. kNN using the most DE gene (MKS1) and kâ=â9 nearest neighbors correctly identified 83% (73/88) of 1R/2R compared with 0R by leave-one-out cross validation. Using a genomic approach we can distinguish low-grade cellular allograft rejection (1R/2R) from no rejection (0R) after heart transplantation in children despite a wide age range.
Details
- Language :
- English
- ISSN :
- 1531-2267
- Volume :
- 50
- Issue :
- 3
- Database :
- MEDLINE
- Journal :
- Physiological genomics
- Publication Type :
- Academic Journal
- Accession number :
- 29341866
- Full Text :
- https://doi.org/10.1152/physiolgenomics.00046.2017