Geographical and temporal trends of HIV-1 subtypes and drug resistance in China: a nationwide study over two decades (2003-2024)

中国HIV-1亚型和耐药性的地理和时间趋势:一项跨越二十年(2003-2024年)的全国性研究

阅读:2

Abstract

Objective. This study aims to characterize the 20-year trends in human immunodeficiency virus 1 (HIV-1) subtypes and circulating recombinant forms (CRFs) in China, as well as patterns of transmitted drug resistance (TDR) to antiretroviral therapies commonly used in clinical practice.Methods. We analysed HIV-1 sequences from 81,563 individuals living in China between 2003 and 2024. Subtypes and CRFs were classified using COMET V2.4. Among these, pol gene sequences from 41,486 treatment-naïve individuals were used to assess TDR via the Stanford HIVdb genotypic resistance interpretation program.Results. Over the past two decades, CRF01_AE (43.9%) was the most prevalent HIV-1 strain in China, followed by CRF07_BC (19.0%), subtype B (12.3%), subtype C (8.4%) and CRF08_B (4.9%). However, subtype and CRF distributions varied considerably across provinces. CRF01_AE predominated in provinces such as Liaoning (92.4%), Guangxi (58.7%), Beijing (47.7%) and Hainan (44.8%), while CRF07_BC was dominant in Sichuan (63.6%), Chongqing (53.2%) and Xinjiang (82.7%). TDR analysis revealed elevated resistance to non-nucleoside reverse transcriptase inhibitors in certain provinces, including Yunnan (12.4%), Xinjiang (8.2%), Anhui (7.6%) and Henan (6.7%). In contrast, resistance to nucleoside reverse transcriptase inhibitors and integrase inhibitors remained low (<1%) across all regions. Notably, the TDR rate exceeded 5% for several regimens freely provided in China, including AZT+3TC+NVP (6.8%), AZT+3TC+RPV (8.0%), AZT+3TC+EFV (6.4%), TDF+3TC+NVP (6.0%), TDF+3TC+RPV (7.2%) and TDF+3TC+EFV (5.7%).Conclusion. Continued surveillance of HIV-1 genotypes and CRFs is critical, particularly in regions where routine genotypic testing is not implemented. Personalized antiretroviral regimens are urgently needed in regions with high levels of TDR.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。