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博茨瓦纳 HIV-1 亚型 C 的核心受体嗜性预测。

Prediction of Coreceptor Tropism in HIV-1 Subtype C in Botswana.

机构信息

Botswana Harvard AIDS Institute Partnership, Princess Marina Hospital, Gaborone, Botswana.

Department of Immunology and Infectious Diseases, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA 02115, USA.

出版信息

Viruses. 2023 Jan 31;15(2):403. doi: 10.3390/v15020403.

Abstract

It remains unknown whether the C-C motif chemokine receptor type 5 (CCR5) coreceptor is still the predominant coreceptor used by Human Immunodeficiency Virus-1 (HIV-1) in Botswana, where the HIV-1 subtype C predominates. We sought to determine HIV-1C tropism in Botswana using genotypic tools, taking into account the effect of antiretroviral treatment (ART) and virologic suppression. HIV-1 gp120 V3 loop sequences from 5602 participants were analyzed for viral tropism using three coreceptor use predicting algorithms/tools: Geno2pheno, HIV-1C Web Position-Specific Score Matrices (WebPSSM) and the 11/25 charge rule. We then compared the demographic and clinical characteristics of people living with HIV (PLWH) harboring R5- versus X4-tropic viruses using χ and Wilcoxon rank sum tests for categorical and continuous data analysis, respectively. The three tools congruently predicted 64% of viruses as either R5-tropic or X4-tropic. Geno2pheno and the 11/25 charge rule had the highest concordance at 89%. We observed a significant difference in ART status between participants harboring X4- versus R5-tropic viruses. X4-tropic viruses were more frequent among PLWH receiving ART (χ test, = 0.03). CCR5 is the predominant coreceptor used by HIV-1C strains circulating in Botswana, underlining the strong potential for CCR5 inhibitor use, even in PLWH with drug resistance. We suggest that the tools for coreceptor prediction should be used in combination.

摘要

目前尚不清楚 C-C 基序趋化因子受体 5(CCR5)辅助受体是否仍是博茨瓦纳 HIV-1(HIV-1)的主要辅助受体,在博茨瓦纳 HIV-1 亚型 C 占主导地位。我们试图使用基因分型工具确定博茨瓦纳 HIV-1C 的嗜性,同时考虑到抗逆转录病毒治疗(ART)和病毒学抑制的影响。对 5602 名参与者的 HIV-1 gp120 V3 环序列进行了分析,使用三种辅助受体使用预测算法/工具来确定病毒嗜性:Geno2pheno、HIV-1C Web 位置特异性评分矩阵(WebPSSM)和 11/25 电荷规则。然后,我们使用 χ 和 Wilcoxon 秩和检验分别对携带 R5-和 X4-嗜性病毒的 HIV 感染者(PLWH)的人口统计学和临床特征进行了比较。这三种工具一致预测 64%的病毒为 R5-或 X4-嗜性。Geno2pheno 和 11/25 电荷规则的一致性最高,为 89%。我们观察到携带 X4-和 R5-嗜性病毒的参与者在接受 ART 治疗方面存在显著差异。在接受 ART 治疗的 PLWH 中,X4-嗜性病毒更为常见(χ检验, = 0.03)。CCR5 是博茨瓦纳循环的 HIV-1C 株的主要辅助受体,这突出了使用 CCR5 抑制剂的强大潜力,即使在具有耐药性的 PLWH 中也是如此。我们建议应联合使用辅助受体预测工具。

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