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Next Generation Sequencing-Based Investigation of Potential Patient-to-Patient Hepatitis C Virus Transmission during Hemodialytic Treatment
We investigated potential patient-to-patient transmission of hepatitis C virus (HCV) in two hemodialysis centers in Beijing, China. Approximately 8.25% (32/388) hemodialysis patients were HCV antibody positive, and 4.90% (19/388) were HCV RNA-positive, which consisted of 2a genotype (1/19) and 1b ge...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4726535/ https://www.ncbi.nlm.nih.gov/pubmed/26808659 http://dx.doi.org/10.1371/journal.pone.0147566 |
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author | Zhao, Qi Wen, Yujie Jiang, Yan Zhang, Chen Li, Yang Zhang, Guiyun Zhang, Lei Qiu, Maofeng |
author_facet | Zhao, Qi Wen, Yujie Jiang, Yan Zhang, Chen Li, Yang Zhang, Guiyun Zhang, Lei Qiu, Maofeng |
author_sort | Zhao, Qi |
collection | PubMed |
description | We investigated potential patient-to-patient transmission of hepatitis C virus (HCV) in two hemodialysis centers in Beijing, China. Approximately 8.25% (32/388) hemodialysis patients were HCV antibody positive, and 4.90% (19/388) were HCV RNA-positive, which consisted of 2a genotype (1/19) and 1b genotypes (18/19). Using next generation sequencing (NGS) approach, MiSeq platform, we sequenced HCV, targeting hypervariable region 1 (263 base-pairs) of genotype 1b specimens and obtained 18 to 243 unique HCV variants. Analysis of phylogenetic tree, viral epidemiology signature pattern (VESP) and Shannon entropy indicated no obvious HCV similarity for most HCV infections but limited HCV variants from Patient 31 (P31) were closer with respect to evolutionary relationship with Patient 24 (P24). However, it was unlikely that HCV was transmitted directly from P24 to P31 in the hemodialysis center. Otherwise, their genetic distance (3.92%-8.92%), would have been much less. Moreover, P31 was infected less than two years before specimen collection, and other external high risk factors existed for these two patients. Thus, our data indicated no evidence of patient-to-patient transmission of HCV in the two hemodialysis centers, suggesting that current HCV infection control measures are effective. |
format | Online Article Text |
id | pubmed-4726535 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-47265352016-02-03 Next Generation Sequencing-Based Investigation of Potential Patient-to-Patient Hepatitis C Virus Transmission during Hemodialytic Treatment Zhao, Qi Wen, Yujie Jiang, Yan Zhang, Chen Li, Yang Zhang, Guiyun Zhang, Lei Qiu, Maofeng PLoS One Research Article We investigated potential patient-to-patient transmission of hepatitis C virus (HCV) in two hemodialysis centers in Beijing, China. Approximately 8.25% (32/388) hemodialysis patients were HCV antibody positive, and 4.90% (19/388) were HCV RNA-positive, which consisted of 2a genotype (1/19) and 1b genotypes (18/19). Using next generation sequencing (NGS) approach, MiSeq platform, we sequenced HCV, targeting hypervariable region 1 (263 base-pairs) of genotype 1b specimens and obtained 18 to 243 unique HCV variants. Analysis of phylogenetic tree, viral epidemiology signature pattern (VESP) and Shannon entropy indicated no obvious HCV similarity for most HCV infections but limited HCV variants from Patient 31 (P31) were closer with respect to evolutionary relationship with Patient 24 (P24). However, it was unlikely that HCV was transmitted directly from P24 to P31 in the hemodialysis center. Otherwise, their genetic distance (3.92%-8.92%), would have been much less. Moreover, P31 was infected less than two years before specimen collection, and other external high risk factors existed for these two patients. Thus, our data indicated no evidence of patient-to-patient transmission of HCV in the two hemodialysis centers, suggesting that current HCV infection control measures are effective. Public Library of Science 2016-01-25 /pmc/articles/PMC4726535/ /pubmed/26808659 http://dx.doi.org/10.1371/journal.pone.0147566 Text en © 2016 Zhao et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Zhao, Qi Wen, Yujie Jiang, Yan Zhang, Chen Li, Yang Zhang, Guiyun Zhang, Lei Qiu, Maofeng Next Generation Sequencing-Based Investigation of Potential Patient-to-Patient Hepatitis C Virus Transmission during Hemodialytic Treatment |
title | Next Generation Sequencing-Based Investigation of Potential Patient-to-Patient Hepatitis C Virus Transmission during Hemodialytic Treatment |
title_full | Next Generation Sequencing-Based Investigation of Potential Patient-to-Patient Hepatitis C Virus Transmission during Hemodialytic Treatment |
title_fullStr | Next Generation Sequencing-Based Investigation of Potential Patient-to-Patient Hepatitis C Virus Transmission during Hemodialytic Treatment |
title_full_unstemmed | Next Generation Sequencing-Based Investigation of Potential Patient-to-Patient Hepatitis C Virus Transmission during Hemodialytic Treatment |
title_short | Next Generation Sequencing-Based Investigation of Potential Patient-to-Patient Hepatitis C Virus Transmission during Hemodialytic Treatment |
title_sort | next generation sequencing-based investigation of potential patient-to-patient hepatitis c virus transmission during hemodialytic treatment |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4726535/ https://www.ncbi.nlm.nih.gov/pubmed/26808659 http://dx.doi.org/10.1371/journal.pone.0147566 |
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