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Genotype distribution of hepatitis C virus in 952 cases from 2014 to 2016 in Hunan Province, China
INTRODUCTION: Few large-scale investigations on genotype (GT) distribution of hepatitis C virus (HCV) in Hunan Province, China, are reported. MATERIAL AND METHODS: We recruited all of the 952 patients in the census register of Hunan Province who were first diagnosed with HCV infection in the Second...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Termedia Publishing House
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6111344/ https://www.ncbi.nlm.nih.gov/pubmed/30154888 http://dx.doi.org/10.5114/aoms.2017.70664 |
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author | Lei, Jian-Hua Gong, Xing Xiao, Xin-Qiang Chen, Zi Peng, Feng |
author_facet | Lei, Jian-Hua Gong, Xing Xiao, Xin-Qiang Chen, Zi Peng, Feng |
author_sort | Lei, Jian-Hua |
collection | PubMed |
description | INTRODUCTION: Few large-scale investigations on genotype (GT) distribution of hepatitis C virus (HCV) in Hunan Province, China, are reported. MATERIAL AND METHODS: We recruited all of the 952 patients in the census register of Hunan Province who were first diagnosed with HCV infection in the Second Xiangya Hospital, Central South University in 2014–2016. HCV genotypes were surveyed. The genotype distribution pattern was compared with those of the neighboring regions in China. RESULTS: Among the 952 patients, genotype 1 (GT1) (69.9%) was the most common HCV genotype, followed by GT6 (19.0%), GT3 (8.4%), and GT2 (2.6%). GT4 and GT5 were not found. One case had mixed infection of GT3 and GT6. Predominance of GT1 HCV was more evident in the patients aged ≥ 40 years than in those aged < 40 years (79.5% vs. 47.9%, χ(2) = 95.993, p < 0.001). HCV genotype distribution had gender difference (χ(2) = 44.695, p < 0.001), with GT3 and GT6 more prevalent in males than in females (36.2% vs. 18.2%, χ(2) = 39.088, p < 0.001) while GT1 more prevalent in females than in males (80.1% vs. 60.3%, χ(2) = 44.276, p < 0.001). Though Hunan Province is located in central China, its HCV genotype priority was similar with the change trend in south and southwest China, while distinguished from those of other regions, in particular from the neighboring central province, Hubei Province. CONCLUSIONS: HCV GT1 was the most predominant HCV genotype in Hunan Province, and GT6 and GT3 accounted for a significant percentage, especially in young patients. The HCV distribution pattern was more similar to those of the regions in south China. |
format | Online Article Text |
id | pubmed-6111344 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Termedia Publishing House |
record_format | MEDLINE/PubMed |
spelling | pubmed-61113442018-08-28 Genotype distribution of hepatitis C virus in 952 cases from 2014 to 2016 in Hunan Province, China Lei, Jian-Hua Gong, Xing Xiao, Xin-Qiang Chen, Zi Peng, Feng Arch Med Sci Clinical Research INTRODUCTION: Few large-scale investigations on genotype (GT) distribution of hepatitis C virus (HCV) in Hunan Province, China, are reported. MATERIAL AND METHODS: We recruited all of the 952 patients in the census register of Hunan Province who were first diagnosed with HCV infection in the Second Xiangya Hospital, Central South University in 2014–2016. HCV genotypes were surveyed. The genotype distribution pattern was compared with those of the neighboring regions in China. RESULTS: Among the 952 patients, genotype 1 (GT1) (69.9%) was the most common HCV genotype, followed by GT6 (19.0%), GT3 (8.4%), and GT2 (2.6%). GT4 and GT5 were not found. One case had mixed infection of GT3 and GT6. Predominance of GT1 HCV was more evident in the patients aged ≥ 40 years than in those aged < 40 years (79.5% vs. 47.9%, χ(2) = 95.993, p < 0.001). HCV genotype distribution had gender difference (χ(2) = 44.695, p < 0.001), with GT3 and GT6 more prevalent in males than in females (36.2% vs. 18.2%, χ(2) = 39.088, p < 0.001) while GT1 more prevalent in females than in males (80.1% vs. 60.3%, χ(2) = 44.276, p < 0.001). Though Hunan Province is located in central China, its HCV genotype priority was similar with the change trend in south and southwest China, while distinguished from those of other regions, in particular from the neighboring central province, Hubei Province. CONCLUSIONS: HCV GT1 was the most predominant HCV genotype in Hunan Province, and GT6 and GT3 accounted for a significant percentage, especially in young patients. The HCV distribution pattern was more similar to those of the regions in south China. Termedia Publishing House 2017-10-12 2018-08 /pmc/articles/PMC6111344/ /pubmed/30154888 http://dx.doi.org/10.5114/aoms.2017.70664 Text en Copyright: © 2017 Termedia & Banach http://creativecommons.org/licenses/by-nc-sa/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) License, allowing third parties to copy and redistribute the material in any medium or format and to remix, transform, and build upon the material, provided the original work is properly cited and states its license. |
spellingShingle | Clinical Research Lei, Jian-Hua Gong, Xing Xiao, Xin-Qiang Chen, Zi Peng, Feng Genotype distribution of hepatitis C virus in 952 cases from 2014 to 2016 in Hunan Province, China |
title | Genotype distribution of hepatitis C virus in 952 cases from 2014 to 2016 in Hunan Province, China |
title_full | Genotype distribution of hepatitis C virus in 952 cases from 2014 to 2016 in Hunan Province, China |
title_fullStr | Genotype distribution of hepatitis C virus in 952 cases from 2014 to 2016 in Hunan Province, China |
title_full_unstemmed | Genotype distribution of hepatitis C virus in 952 cases from 2014 to 2016 in Hunan Province, China |
title_short | Genotype distribution of hepatitis C virus in 952 cases from 2014 to 2016 in Hunan Province, China |
title_sort | genotype distribution of hepatitis c virus in 952 cases from 2014 to 2016 in hunan province, china |
topic | Clinical Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6111344/ https://www.ncbi.nlm.nih.gov/pubmed/30154888 http://dx.doi.org/10.5114/aoms.2017.70664 |
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