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A Short-Term Assessment of Nascent HIV-1 Transmission Clusters Among Newly Diagnosed Individuals Using Envelope Sequence-Based Phylogenetic Analyses

机译:基于信封序列的系统发育分析对新诊断个体中新生的HIV-1传播簇的短期评估

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摘要

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 (n = 106) and chronically (n = 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, p < .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), p = .002 and OR: 0.17, 95% CI (0.10–0.61), p = .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.
机译:使用系统发育分析确定HIV-1的传播簇(TC),可以提供对病毒传播网络的见解,并有助于改善预防策略。我们比较了1,070 bp的部分HIV-1包膜片段与其环3(108 bp)的使用,以确定其在推断HIV-1传播聚类中的效用。对最近(n = 106)和慢性(n = 156)HIV-1感染患者的血清样本进行了测序,这些患者的状态得到了确认。基于HIV-1包膜核苷酸的系统发育分析可用于推断HIV-1 TC。这些是使用ClusterPickerGUI_1.2.3构建的,考虑了成对遗传距离≤阈值10%。 Logistic回归分析用于检查可能与HIV-1聚类相关的人口统计学因素之间的关系。对九十八个不同的共有包膜序列进行了系统发育分析。使用部分包膜片段序列,将42个序列分为15个不同的小TC,而V3循环则复制了10个簇。部分包膜和V3环片段之间的一致性显着中等,Cohen's kappa(κ)系数为0.59,p <.00001。平均年龄(<38.8岁)和HIV-1 B亚型是与队列中HIV-1传播聚集显着相关的两个因素,优势比(OR)= 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可以更好地预测传播簇。但是,循环3片段可能会用于筛选目的,并且可能更适合集成到监视程序中。

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