Selek Mehmet Burak, Baylan Orhan, Karagöz Ergenekon, Özyurt Mustafa
Department of Medical Microbiology, Sultan Abdülhamid Han Training and Research Hospital, University of Health Sciences, Istanbul, Turkey.
Department of Infectious Diseases, Fatih Sultan Mehmet Training and Research Hospital, University of Health Sciences, Istanbul, Turkey.
Indian J Med Microbiol. 2018 Jul-Sep;36(3):416-421. doi: 10.4103/ijmm.IJMM_18_10.
Identification of hepatitis C virus (HCV) genotypes is very important in the selection of antiviral treatment, dose adjustment of antiviral agents, determining the treatment duration and following-up of treatment response. We aimed to determine the distribution pattern of HCV genotypes in chronic hepatitis C infection (CHC) patients.
We have included 106 CHC patients who were positive in the anti-HCV and HCV-RNA tests performed in our hospital during the 16-month period. Anti-HCV assays were performed on device using a chemiluminescent microparticle immunoassay, while HCV-RNA tests and HCV genotyping assays were performed by real-time polymerase chain reaction.
Of the 106 cases; genotype 1b was detected in 67.0%, genotype 3 was detected in 16.0%, genotype 1a was detected in 14.2% and genotype 2 was detected in 2.8% patients. Genotypes 4, 5 and 6 were not detected in our study group. There were no statistically significant differences between the gender and age groups according to the HCV genotype distribution. The genotype 3 detection rate (16%) was the highest rate among the studies compared with the other studies in our country.
Events that cause social changes such as war and immigration and intense commercial and touristic activities affect and alter the HCV genotype distribution in HCV-infected patients. For this reason, further multicentre studies are required reflecting all the regions in order to determine the genotype distribution in HCV-infected patients at regular intervals.
丙型肝炎病毒(HCV)基因型的鉴定在抗病毒治疗的选择、抗病毒药物剂量调整、确定治疗疗程以及随访治疗反应方面非常重要。我们旨在确定慢性丙型肝炎感染(CHC)患者中HCV基因型的分布模式。
我们纳入了在16个月期间在我院进行抗HCV和HCV-RNA检测呈阳性的106例CHC患者。使用化学发光微粒子免疫分析法在仪器上进行抗HCV检测,而HCV-RNA检测和HCV基因分型检测通过实时聚合酶链反应进行。
在106例病例中;67.0%的患者检测到1b基因型,16.0%检测到3基因型,14.2%检测到1a基因型,2.8%检测到2基因型。在我们的研究组中未检测到4、5和6基因型。根据HCV基因型分布,性别和年龄组之间无统计学显著差异。与我国其他研究相比,3基因型的检测率(16%)是所有研究中最高的。
战争和移民等导致社会变革的事件以及密集的商业和旅游活动会影响并改变HCV感染患者的HCV基因型分布。因此,需要进一步开展反映所有地区的多中心研究,以便定期确定HCV感染患者的基因型分布。