中国广州（2008-2020 年）不断进化的分子 HIV 聚类揭示了基因型特异性动态。

Evolving molecular HIV clusters revealed genotype-specific dynamics in Guangzhou, China (2008-2020).

机构信息

School of Public Health and Management, Guangzhou University of Chinese Medicine, Guangzhou, China; Department of Medical Statistics, School of Public Health, Sun Yat-sen University, Guangzhou, China.

Department of AIDS Control and Prevention, Guangzhou Center for Disease Control and Prevention, Guangzhou, China.

出版信息

Int J Infect Dis. 2024 Nov;148:107218. doi: 10.1016/j.ijid.2024.107218. Epub 2024 Aug 22.

DOI:10.1016/j.ijid.2024.107218

PMID:39181438

Abstract

OBJECTIVES

This study investigated the genotype-specific dynamics of molecular HIV clusters (MHCs) in Guangzhou, China, aiming to enhance HIV control.

METHODS

HIV pol sequences from people with HIV (PWH) in Guangzhou (2008-2020) were obtained for genotyping and molecular network creation. MHCs were identified and categorized into three types: emerging, growing, or stable. Clustering rates, proportions of cluster types, and members within each type were calculated and their trends were assessed using joinpoint regression.

RESULTS

Among 8395 PWH, the most prevalent HIV-1 genotypes were CRF07_BC (39.7%) and CRF01_AE (32.6%). The genotype composition has been stable since 2012 (Ps > 0.05). The overall clustering rate was 43.3%, with significant variations across genotypes (P < 0.001), indicating genotype-specific transmission fitness. Significant declines in overall and genotype-specific clustering rates toward the end of 2020 (Ps < 0.05), potentially offer support for HIV control efforts in reducing local infections. The continuously increasing proportions of stable clusters and the gradually decreasing proportions of emerging and growing clusters (either Ps < 0.05 or Ps > 0.05) suggest a trend toward stable molecular network structure. However, growing clusters exhibited CRF55_01B, CRF07_BC, and CRF59_01B dominance that indicate their priority for interventions.

CONCLUSION

The evolving MHCs highlight the genotype-specific cluster dynamics, providing fresh insights for enhanced prevention and control strategies.

摘要

目的

本研究旨在增强艾滋病控制，调查了中国广州 HIV 分子簇（MHC）的基因型特异性动态。

方法

从广州（2008-2020 年）的 HIV 感染者（PWH）中获取 HIV pol 序列进行基因分型和分子网络构建。鉴定 MHC 并将其分为三类：新兴、增长或稳定。计算聚类率、各类型的比例和每个类型中的成员，并使用 joinpoint 回归评估其趋势。

结果

在 8395 名 PWH 中，最常见的 HIV-1 基因型为 CRF07_BC（39.7%）和 CRF01_AE（32.6%）。自 2012 年以来，基因型组成一直保持稳定（Ps > 0.05）。总体聚类率为 43.3%，各基因型之间存在显著差异（P < 0.001），表明基因型特异性传播适应性。2020 年底总体和基因型特异性聚类率显著下降（Ps < 0.05），可能为减少当地感染的 HIV 控制工作提供支持。稳定簇的比例不断增加，新兴和增长簇的比例逐渐减少（无论是 Ps < 0.05 还是 Ps > 0.05），这表明分子网络结构趋于稳定。然而，增长簇表现出 CRF55_01B、CRF07_BC 和 CRF59_01B 的优势，表明需要优先干预。