桑格测序
艾滋病毒耐药性
纳米孔测序
基因分型
抗药性
大流行
人类免疫缺陷病毒(HIV)
DNA测序
医学
病毒学
计算生物学
抗逆转录病毒疗法
生物
2019年冠状病毒病(COVID-19)
病毒载量
基因型
遗传学
基因
内科学
疾病
传染病(医学专业)
作者
Daniel Lule Bugembe,Deogratius Ssemwanga,Pontiano Kaleebu,Damien C. Tully
标识
DOI:10.1099/mgen.0.001375
摘要
HIV continues to be a significant global public health concern. In 2022, an estimated 29.8 million people living with HIV received antiretroviral treatment (ART). From this, an estimated 10–15% of individuals living with HIV have drug-resistant strains of the virus. Testing for resistance to antiretroviral drugs is recommended before initiating ART. However, such services are often inaccessible due to costs and the need for complex laboratory infrastructure. The assessment of HIV drug resistance (HIVDR) relies on genotyping sequencing and algorithms to interpret genotypic resistance test results. Genotypic assays involve Sanger sequencing of the reverse transcriptase ( RT ), protease ( PR ) and integrase ( IN ) genes of circulating RNA in plasma to detect mutations that are known to confer drug resistance. While state-of-the-art sequencing technologies have swept the globe and enhanced our global pandemic response capabilities, they are still sparingly used for HIVDR surveillance. The scale-up of ART, especially in low- and middle-income countries, necessitates the establishment of cheap, expeditious and decentralized methods for HIVDR monitoring. Here, we outline how one low-capital next-generation sequencing platform, namely, nanopore sequencing, could augment efforts in expanding HIVDR surveillance efforts, especially in resource-limited settings. We discuss that because of its versatility, nanopore sequencing can accelerate HIVDR surveillance in conjunction with scaling up ART efforts and outline some of the challenges that need to be considered before its widespread and routine adaptation to detect drug resistance rapidly.
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