Kusejko Katharina, Kadelka Claus, Marzel Alex, Battegay Manuel, Bernasconi Enos, Calmy Alexandra, Cavassini Matthias, Hoffmann Matthias, Böni Jürg, Yerly Sabine, Klimkait Thomas, Perreau Matthieu, Rauch Andri, Günthard Huldrych F, Kouyos Roger D
Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zürich, Rämistrasse 100, Zürich, Switzerland.
Institute of Medical Virology, University of Zürich, Winterthurerstrasse 190, Zürich, Switzerland.
Virus Evol. 2018 Sep 18;4(2):vey024. doi: 10.1093/ve/vey024. eCollection 2018 Jul.
Age-mixing patterns are of key importance for understanding the dynamics of human immunodeficiency virus (HIV)-epidemics and target public health interventions. We use the densely sampled Swiss HIV Cohort Study (SHCS) resistance database to study the age difference at infection in HIV transmission pairs using phylogenetic methods. In addition, we investigate whether the mean age difference of pairs in the phylogenetic tree is influenced by sampling as well as by additional distance thresholds for including pairs. HIV-1 -sequences of 11,922 SHCS patients and approximately 240,000 Los Alamos background sequences were used to build a phylogenetic tree. Using this tree, 100 per cent down to 1 per cent of the tips were sampled repeatedly to generate pruned trees ( = 500 for each sample proportion), of which pairs of SHCS patients were extracted. The mean of the absolute age differences of the pairs, measured as the absolute difference of the birth years, was analyzed with respect to this sample proportion and a distance criterion for inclusion of the pairs. In addition, the transmission groups men having sex with men (MSM), intravenous drug users (IDU), and heterosexuals (HET) were analyzed separately. Considering the tree with all 11,922 SHCS patients, 2,991 pairs could be extracted, with 954 (31.9 per cent) MSM-pairs, 635 (21.2 per cent) HET-pairs, 414 (13.8 per cent) IDU-pairs, and 352 (11.8 per cent) HET/IDU-pairs. For all transmission groups, the age difference at infection was significantly (P < 0.001) smaller for pairs in the tree compared with randomly assigned pairs, meaning that patients of similar age are more likely to be pairs. The mean age difference in the phylogenetic analysis, using a fixed distance of 0.05, was 9.2, 9.0, 7.3 and 5.6 years for MSM-, HET-, HET/IDU-, and IDU-pairs, respectively. Decreasing the cophenetic distance threshold from 0.05 to 0.01 significantly decreased the mean age difference. Similarly, repeated sampling of 100 per cent down to 1 per cent of the tips revealed an increased age difference at lower sample proportions. HIV-transmission is age-assortative, but the age difference of transmission pairs detected by phylogenetic analyses depends on both sampling proportion and distance criterion. The mean age difference decreases when using more conservative distance thresholds, implying an underestimation of age-assortativity when using liberal distance criteria. Similarly, overestimation of the mean age difference occurs for pairs from sparsely sampled trees, as it is often the case in sub-Saharan Africa.
年龄混合模式对于理解人类免疫缺陷病毒(HIV)流行动态以及确定公共卫生干预目标至关重要。我们利用采样密集的瑞士HIV队列研究(SHCS)耐药数据库,采用系统发育方法研究HIV传播配对中感染时的年龄差异。此外,我们还研究了系统发育树中配对的平均年龄差异是否受到采样以及纳入配对的额外距离阈值的影响。我们使用了11922名SHCS患者的HIV-1序列和大约240000条洛斯阿拉莫斯背景序列构建系统发育树。利用这棵树,对从100%到1%的末端进行反复采样以生成修剪后的树(每个样本比例为500棵),从中提取SHCS患者配对。以出生年份的绝对差异衡量的配对绝对年龄差异的平均值,针对该样本比例和配对纳入的距离标准进行了分析。此外,还分别对男男性行为者(MSM)、静脉吸毒者(IDU)和异性恋者(HET)这几个传播组进行了分析。考虑包含所有11922名SHCS患者的树,可以提取出2991对,其中有954对(31.9%)MSM配对、635对(21.2%)HET配对、414对(13.8%)IDU配对以及352对(11.8%)HET/IDU配对。对于所有传播组,与随机分配的配对相比,树中配对感染时的年龄差异显著更小(P < 0.001),这意味着年龄相近的患者更有可能成为配对。在系统发育分析中,使用固定距离0.05时,MSM配对、HET配对、HET/IDU配对和IDU配对的平均年龄差异分别为9.2岁、9.0岁、7.3岁和5.6岁。将协表型距离阈值从(0.05)降低到(0.01)显著降低了平均年龄差异。同样,对从100%到1%的末端进行反复采样发现,在较低样本比例下年龄差异增大。HIV传播具有年龄聚集性,但系统发育分析检测到的传播配对的年龄差异取决于采样比例和距离标准。使用更保守的距离阈值时平均年龄差异会减小,这意味着使用宽松距离标准时会低估年龄聚集性。同样,对于来自采样稀疏的树的配对会高估平均年龄差异,撒哈拉以南非洲地区通常就是这种情况。