Shaanxi Provincial Center for Disease Control and Prevention, Xi'an, China.
Weinan Center for Disease Control and Prevention, Weinan, China.
BMC Infect Dis. 2024 Sep 27;24(1):1048. doi: 10.1186/s12879-024-09929-2.
Huazhou County has one of the highest rates of hepatitis C virus (HCV) infection incidence and prevalence in Shaanxi Province, northwest China. Understanding the characteristics of HCV transmission patterns in this area could help guide targeted prevention strategies. This study employed phylogenetic analysis and the construction of a molecular transmission network of HCV-infected people in Huazhou County to describe the predominant strains of HCV and identify factors associated with onward transmission.
Whole blood samples were obtained from HCV RNA-positive individuals for sequencing of the non-structural protein 5B region. A maximum-likelihood (ML) phylogenetic tree was constructed to determine HCV subgenotypes, and Bayesian phylogenetic analysis was employed to estimate the evolutionary history. The transmission network was constructed using the ML phylogenetic tree and pairwise distances. Logistic regression was used to identify factors associated with clustering in the transmission network.
ML phylogenetic analysis confirmed that the 61 sequences analyzed in the study belonged to subtype 2a. Bayesian phylogenetic analysis showed that the majority of subtype 2a sequences originated in the northwest of China and had descended approximately 8 to 20 years before sampling. Overall, 26.2% of participant sequences were grouped into phylogenetic network clusters. Multivariate logistic regression showed that individuals who had a history of blood transfusions and were living in Shi Village, Huazhou County, were more likely to form clusters within the transmission network.
HCV transmission in Huazhou County was predominantly associated with subtype 2a. Having a history of blood transfusions and living in residential Shi Village, Huazhou County, were factors associated with a high risk of HCV infection transmission. Prioritizing targeted interventions for these patient groups may help to prevent further infections.
中国西北部陕西省华州区的丙型肝炎病毒 (HCV) 感染发病率和流行率居全国之首。了解该地区 HCV 传播模式的特征有助于指导有针对性的预防策略。本研究采用系统进化分析和 HCV 感染者的分子传播网络构建，描述 HCV 的主要流行株，并确定与传播相关的因素。
采集 HCV RNA 阳性个体的全血样本，用于非结构蛋白 5B 区的测序。构建最大似然 (ML) 系统进化树以确定 HCV 亚型，并采用贝叶斯系统进化分析估计进化史。采用 ML 系统进化树和成对距离构建传播网络。采用逻辑回归分析确定与传播网络聚类相关的因素。
ML 系统进化分析证实，本研究分析的 61 个序列属于 2a 亚型。贝叶斯系统进化分析表明，大多数 2a 亚型序列起源于中国西北部，在采样前大约 8 到 20 年就已出现。总体而言，26.2%的参与者序列被分为系统进化网络簇。多变量逻辑回归显示，有输血史和居住在华州区史村的个体更有可能在传播网络中形成簇。
华州区 HCV 的传播主要与 2a 亚型有关。有输血史和居住在华州区史村是与 HCV 感染传播高风险相关的因素。针对这些患者群体的重点干预措施可能有助于预防进一步的感染。
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