Division of Clinical Microbiology, Department of Laboratory Medicine, Karolinska Institutet, Huddinge, Stockholm, Sweden.
Medical Microbiology Department, University of Manitoba, 727 McDermot Ave, Winnipeg, MB R3E 3P5, Canada.
Sci Rep. 2017 Jul 25;7(1):6371. doi: 10.1038/s41598-017-06860-2.
A temporal increase in non-B subtypes has earlier been described in Sweden by us and we hypothesized that this increased viral heterogeneity may become a hotspot for the development of more complex and unique recombinant forms (URFs) if the epidemics converge. In the present study, we performed subtyping using four automated tools and phylogenetic analysis by RAxML of pol gene sequences (n = 5246) and HIV-1 near full-length genome (HIV-NFLG) sequences (n = 104). A CD4 T-cell decline trajectory algorithm was used to estimate time of HIV infection. Transmission clusters were identified using the family-joining method. The analysis of HIV-NFLG and pol gene described 10.6% (11/104) and 2.6% (137/5246) of the strains as URFs, respectively. An increasing trend of URFs was observed in recent years by both approaches (p = 0·0082; p < 0·0001). Transmission cluster analysis using the pol gene of all URFs identified 14 clusters with two to eight sequences. Larger transmission clusters of URFs (BF1 and 01B) were observed among MSM who mostly were sero-diagnosed in recent time. Understanding the increased appearance and transmission of URFs in recent years could have importance for public health interventions and the use of HIV-NFLG would provide better statistical support for such assessments.
我们曾在瑞典报道过非 B 亚型的病毒在时间上的增加,我们假设如果流行趋势趋于一致,这种病毒异质性的增加可能会成为更复杂和独特的重组形式(URFs)发展的热点。在本研究中,我们使用了四种自动化工具进行亚型分析,并使用 RAxML 对 pol 基因序列(n=5246)和 HIV-1 全长基因(HIV-NFLG)序列(n=104)进行了系统发育分析。我们使用 CD4 T 细胞下降轨迹算法来估计 HIV 感染的时间。使用亲缘聚类法识别传播簇。对 HIV-NFLG 和 pol 基因的分析分别描述了 10.6%(11/104)和 2.6%(137/5246)的病毒株为 URFs。这两种方法均观察到 URFs 的数量呈上升趋势(p=0.0082;p<0.0001)。使用所有 URFs 的 pol 基因对传播簇进行分析,确定了 14 个包含 2 到 8 个序列的簇。在最近时间被诊断为血清阳性的男男性行为者中,观察到了较大的 URF 传播簇(BF1 和 01B)。了解近年来 URFs 出现和传播的增加,可能对公共卫生干预措施具有重要意义,并且使用 HIV-NFLG 将为此类评估提供更好的统计支持。