Institut Universitari d'Investigacions en Ciències de la Salut (IUNICS) i Laboratori de Genètica, Departament de Biologia, Universitat de les Illes Balears, Campus de la UIB, Palma de Mallorca, Illes Balears, Spain.
Infect Genet Evol. 2010 Dec;10(8):1252-61. doi: 10.1016/j.meegid.2010.08.009. Epub 2010 Aug 21.
Hepatitis C virus (HCV) infection is the most important cause of chronic hepatitis, cirrhosis and end-stage liver disease leading to liver transplantation worldwide. Chronic infection by HCV causes liver fibrosis, which is accelerated by unknown mechanisms in patients with human immunodeficiency virus-1 (HIV-1) coinfection. Although the genetic variability of both HCV and HIV has been extensively studied in the context of monoinfections, more limited data is available regarding HCV-HIV coinfection. HCV disease progression among HIV coinfected patients may be influenced not only by demographic, epidemiological and clinical background variables, but also by genetic differences in infecting viruses. To explore this issue, we carried out a study in coinfected patients trying to associate the degree of liver damage to several demographic, clinical, and epidemiological characteristics of the patients, and also to the genetic variability of HCV between patients. For this purpose, we have applied different statistical techniques including the statistical generalized linear model (GLM) framework. The stage of fibrosis was indirectly measured by noninvasive means using the indexes Forns, APRI and FIB-4. HCV genetic variability between patients was estimated by sequencing the core region and by reconstructions of consensus maximum parsimony phylogenetic trees with 50% and 75% bootstrap majority rules. The results showed a direct correlation of the fibrosis biomarkers with the AST/ALT ratio, MoftIDU and with 3a HCV genotype clades, among others.
丙型肝炎病毒 (HCV) 感染是全球慢性肝炎、肝硬化和终末期肝病导致肝移植的最重要原因。HCV 的慢性感染可导致肝纤维化,而在人类免疫缺陷病毒 1 (HIV-1) 合并感染的患者中,其纤维化进程的加速机制尚不清楚。尽管 HCV 和 HIV 的遗传变异性在单感染的背景下已得到广泛研究,但有关 HCV-HIV 合并感染的数据则较为有限。HIV 合并感染患者的 HCV 疾病进展不仅可能受到人口统计学、流行病学和临床背景变量的影响,还可能受到感染病毒的遗传差异的影响。为了探讨这个问题,我们对合并感染患者进行了研究,试图将肝损伤的严重程度与患者的一些人口统计学、临床和流行病学特征相关联,还试图与患者之间的 HCV 遗传变异性相关联。为此,我们应用了不同的统计技术,包括统计广义线性模型 (GLM) 框架。纤维化分期通过使用 Forns、APRI 和 FIB-4 等非侵入性方法间接测量。通过对核心区域进行测序以及使用 50%和 75%的 bootstrap 多数规则重建共识最大简约系统发育树,估计了患者之间 HCV 遗传变异性。结果显示,纤维化生物标志物与 AST/ALT 比值、MoftIDU 和 3a HCV 基因型枝等存在直接相关性。