Next-generation sequencing analysis of a cluster of hepatitis C virus infections in a haematology and oncology center

PLoS One. 2018 Mar 22;13(3):e0194816. doi: 10.1371/journal.pone.0194816. eCollection 2018.

Abstract

Molecular characterization of early hepatitis C virus (HCV) infection remains rare. Ten out of 78 patients of a hematology/oncology center were found to be HCV RNA positive two to four months after hospitalization. Only two of the ten patients were anti-HCV positive. HCV hypervariable region 1 (HVR1) was amplified in seven patients (including one anti-HCV positive) and analyzed by next generation sequencing (NGS). Genetic variants were reconstructed by Shorah and an empirically established 0.5% variant frequency cut-off was implemented. These sequences were compared by phylogenetic and diversity analyses. Ten unrelated blood donors with newly acquired HCV infection detected at the time of donation (HCV RNA positive and anti-HCV negative) served as controls. One to seven HVR1 variants were found in each patient. Sequences intermixed phylogenetically with no evidence of clustering in individual patients. These sequences were more similar to each other (similarity 95.4% to 100.0%) than to those of controls (similarity 64.8% to 82.6%). An identical predominant variant was present in four patients, whereas other closely related variants dominated in the remaining three patients. In five patients the HCV population was limited to a single variant or one predominant variant and minor variants of less than 10% frequency. In conclusion, NGS analysis of a cluster of HCV infections acquired in the hospital setting revealed the presence of low diversity, very closely related variants in all patients, suggesting an early-stage infection with the same virus. NGS combined with phylogenetic analysis and classical epidemiological analysis could help in tracking of HCV outbreaks.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adult
  • Aged
  • Aged, 80 and over
  • Cancer Care Facilities* / statistics & numerical data
  • Case-Control Studies
  • Cluster Analysis
  • Disease Outbreaks
  • Female
  • Genetic Variation
  • Hematology
  • Hepacivirus / genetics*
  • Hepatitis C / diagnosis
  • Hepatitis C / epidemiology*
  • Hepatitis C / virology
  • High-Throughput Nucleotide Sequencing*
  • Hospitals, Special / statistics & numerical data
  • Humans
  • Male
  • Medical Oncology
  • Middle Aged
  • Phylogeny
  • RNA, Viral / analysis*
  • RNA, Viral / genetics

Substances

  • RNA, Viral

Grants and funding

This study was funded by grants UMO-2013/11/B/NZ6/01679 and UMO-2015/19/D/NZ6/01303 from the National Science Center, Poland, 1M24/PM11/14 from the Medical University of Warsaw, NIZP-PZH task No. 6/EM.1/2017 and National Health Program task No. 6/4/3.1k/1/NPZ/2017/1094/773.