Sign in
Genetic & Genomic MedicinemedRxiv
Preprint

Persistent low-level variants in a subset of HCMV genes are highly predictive of poor outcome in immunocompromised patients with cytomegalovirus infection

Cristina VenturiniiD, Julia ColstoniD, Oscar J. CharlesiD, Timothy Best, Claire E. AtkinsoniD, Calum ForrestiD, Charlotte A. WilliamsiD, Kanchan RaoiD, Austen J. J. WorthiD, Douglas ThorburniD, Mark A HarberiD, P. D. GriffithsiD, Judith BreueriD

Abstract

Human cytomegalovirus (HCMV) is the most common and most serious opportunistic infection after solid organ (SOT) and haematopoietic stem cell transplantation (HSCT). There is considerable interest in using virus sequence data to investigate and monitor viral factors associated with the clinical outcome, including failure to respond to available antiviral therapies. To assess this, we used target-enrichment to deep-sequence 16 paediatric patients with HSCT, SOT or primary immunodeficiency of whom 9 died with HCMV and 35 infected SOT adult recipients of whom one died with HCMV. We first showed that samples from both groups have fixed drug-resistance mutations and mixed infections. Deep sequencing also revealed non-fixed resistance mutations in most of the patients who died (6/9). A machine learning approach identified 10 genes with high within-host variability in these patients. These genes formed a viral signature which discriminated patients with HCMV who died from those that survived with high accuracy (AUC=0.96). Lymphocyte numbers for a subset of 17 patients showed no recovery post-transplant of counts in the five who died. We hypothesise that the viral signature identified in this study may be a useful biomarker for poor response of HCMV to antiviral drug treatment and indirectly for poor T cell function, potentially identifying early, those patients requiring non-pharmacological interventions.

PDFDOI

02 /Specification & Classification

Click any tag to browse matching papers

Reproducibility ledger

Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.

Sign in to file a reproducibility report.