Carvajal-Rodríguez Antonio, Posada David, Pérez-Losada Marcos, Keller Emily, Abrams Elaine J, Viscidi Raphael P, Crandall Keith A
Department of Biology, Brigham Young University, 84602 Provo, UT, USA.
Infect Genet Evol. 2008 Mar;8(2):110-20. doi: 10.1016/j.meegid.2007.10.009. Epub 2007 Nov 1.
We have studied the relationship between disease progression and HIV-1 evolution in 24 infants classified as rapid or non-rapid progressors, during nearly the entire disease progression cycle from infection to AIDS. Specifically, we examined the temporal relationship between clinical status and changes in genetic diversity, divergence, selection and recombination at the C2V3C3 region of the env gene during a period of 3 years. Statistical analyses were performed using linear mixed models that are particularly well-suited for longitudinal studies in which repeated measures are taken from the same patients. We did not observe significant differences in genetic diversity or overall substitution rates between clinical categories. However, the nonsynonymous substitution rate per nonsynonymous site (dN) evolved differently between groups. Changes in dN explained the evolutionary slowdown of the dN/dS ratio in the rapid progressors, while in non-rapid progressors the dN/dS ratio continuously increased through time. The number of positively selected sites had limited power for predicting disease progression. Recombination rate estimates were different among groups, although not significantly in the linear mixed models analysis. They showed some power predicting clinical categories and, interestingly, they were significantly correlated with the frequency of positively selected sites. Overall, the results obtained confirm that viral adaptation in the C2V3C3 region of the env gene is related to disease progression, although the statistical characterization of such pattern seems rather difficult.
我们研究了24名被分类为快速或非快速进展者的婴儿在从感染到艾滋病几乎整个疾病进展周期中疾病进展与HIV-1进化之间的关系。具体而言,我们在3年期间检查了临床状态与env基因C2V3C3区域的遗传多样性、分歧、选择和重组变化之间的时间关系。使用线性混合模型进行统计分析,该模型特别适用于对同一患者进行重复测量的纵向研究。我们没有观察到临床类别之间在遗传多样性或总体替代率上的显著差异。然而,每个非同义位点的非同义替代率(dN)在不同组之间的进化方式不同。dN的变化解释了快速进展者中dN/dS比率的进化减缓,而在非快速进展者中,dN/dS比率随时间持续增加。正选择位点的数量对预测疾病进展的能力有限。重组率估计在不同组之间有所不同,尽管在线性混合模型分析中不显著。它们显示出一定的预测临床类别的能力,有趣的是,它们与正选择位点的频率显著相关。总体而言,获得的结果证实env基因C2V3C3区域的病毒适应性与疾病进展有关,尽管这种模式的统计特征似乎相当困难。