Why the study?
Does PBMC gene expression profiling during the early post-transplant period identify patients at risk of developing cardiac allograft vasculopathy?
Does PBMC gene expression profiling during the early post-transplant period identify patients at risk of developing cardiac allograft vasculopathy?
PBMC gene expression profiling in the early post-transplant period may serve as a valuable biomarker tool to identify heart transplant recipients at risk for developing cardiac allograft vasculopathy.
Answers are grounded in this paper and cite their sources.
May identify early CAV risk via PBMC profiling; hypothesis-generating and requires prospective validation before clinical adoption.
Background. Cardiac allograft vasculopathy (CAV) is a major cause of graft loss and death after heart transplantation. Currently, no diagnostic methods are available during the early post-transplant period to accurately identify patients at risk of CAV. We hypothesized that PBMC gene expression profiles (GEP) can identify patients at risk of CAV. Methods. We retrospectively analyzed a limited set of whole-genome PBMC microarrays from 10 post-transplant patients who did (n = 3) or did not (n = 7) develop advanced grade CAV during their long-term follow-up. We used significance analysis of microarrays to identify differentially expressed genes and High-Throughput GoMiner to assess gene ontology (GO) categories. We corroborated our findings by retrospective analysis of PBMC real-time PCR data from 33 patients. Results. Over 300 genes were differentially expressed (FDR < 5%), and 18 GO-categories including "macrophage activation", "Interleukin-6 pathway", "NF-KappaB cascade", and "response to virus" were enriched by these genes (FDR < 5%). Out of 8 transcripts available for RT-PCR analysis, we confirmed 6 transcripts (75.0%) including FPRL1, S100A9, CXCL10, PRO1073, and MMP9 (P < .05). Conclusion. Our pilot data suggest that GEP of PBMC may become a valuable tool in the evaluation of patients at risk of CAV. Larger prospectively designed studies are needed to corroborate our hypothesis.
No takes yet. Share an insight, caveat, or question.
Shahzad et al. (2010) studied this question.
Synapse has enriched 10 related papers. Consider them for comparative context: