Kafando Alexis, Serhir Bouchra, Doualla-Bell Florence, Fournier Eric, Sangaré Mohamed Ndongo, Martineau Christine, Sylla Mohamed, Chamberland Annie, El-Far Mohamed, Charest Hugues, Tremblay Cécile L
Département de Microbiologie, Infectiologie et Immunologie, Faculté de Médecine, Université de Montréal, Montréal, Canada.
Laboratoire de Santé Publique du Québec, Institut National de Santé publique du Québec, Sainte-Anne-de-Bellevue, Canada.
AIDS Res Hum Retroviruses. 2019 Oct;35(10):906-919. doi: 10.1089/AID.2019.0142. Epub 2019 Sep 10.
The identification of transmission clusters (TCs) of HIV-1 using phylogenetic analyses can provide insights into viral transmission network and help improve prevention strategies. We compared the use of partial HIV-1 envelope fragment of 1,070 bp with its loop 3 (108 bp) to determine its utility in inferring HIV-1 transmission clustering. Serum samples of recently ( = 106) and chronically ( = 156) HIV-1-infected patients with status confirmed were sequenced. HIV-1 envelope nucleotide-based phylogenetic analyses were used to infer HIV-1 TCs. Those were constructed using ClusterPickerGUI_1.2.3 considering a pairwise genetic distance of ≤10% threshold. Logistic regression analyses were used to examine the relationship between the demographic factors that were likely associated with HIV-1 clustering. Ninety-eight distinct consensus envelope sequences were subjected to phylogenetic analyses. Using a partial envelope fragment sequence, 42 sequences were grouped into 15 distinct small TCs while the V3 loop reproduces 10 clusters. The agreement between the partial envelope and the V3 loop fragments was significantly moderate with a Cohen's kappa (κ) coefficient of 0.59, < .00001. The mean age (<38.8 years) and HIV-1 B subtype are two factors identified that were significantly associated with HIV-1 transmission clustering in the cohort, odds ratio (OR) = 0.25, 95% confidence interval (CI, 0.04-0.66), = .002 and OR: 0.17, 95% CI (0.10-0.61), = .011, respectively. The present study confirms that a partial fragment of the HIV-1 envelope sequence is a better predictor of transmission clustering. However, the loop 3 segment may be useful in screening purposes and may be more amenable to integration in surveillance programs.
利用系统发育分析鉴定HIV-1传播簇(TCs),有助于深入了解病毒传播网络,并有助于改进预防策略。我们比较了使用1070bp的HIV-1包膜部分片段及其环3(108bp)来推断HIV-1传播簇的效用。对近期(n = 106)和慢性(n = 156)HIV-1感染且状态已确认的患者血清样本进行测序。基于HIV-1包膜核苷酸的系统发育分析用于推断HIV-1 TCs。使用ClusterPickerGUI_1.2.3构建这些簇,考虑成对遗传距离≤10%的阈值。使用逻辑回归分析来检验可能与HIV-1聚类相关的人口统计学因素之间的关系。对98个不同的共有包膜序列进行系统发育分析。使用包膜部分片段序列时,42个序列被分为15个不同的小TCs,而V3环重现了10个簇。包膜部分片段和V3环片段之间的一致性显著中等,科恩kappa(κ)系数为0.59,P <.00001。确定的两个因素与队列中HIV-1传播聚类显著相关,即平均年龄(<38.8岁)和HIV-1 B亚型,优势比(OR)分别为0.25,95%置信区间(CI,0.04 - 0.66),P =.002和OR:0.17,95% CI(0.10 - 0.61),P =.011。本研究证实,HIV-1包膜序列的部分片段是传播聚类的更好预测指标。然而,环3片段可能有助于筛查目的,并且可能更适合纳入监测项目。