Hirigoyen Diane L, Cartwright Charles P
Department of Laboratory Medicine and Pathology, Hennepin County Medical Center, Minneapolis, MN 55415, USA.
J Clin Microbiol. 2005 Oct;43(10):5263-71. doi: 10.1128/JCM.43.10.5263-5271.2005.
Human immunodeficiency virus type 1 (HIV-1) protease (PR) and reverse transcriptase (RT) gene sequences obtained during antiretroviral resistance testing with a commercial genotyping assay (Tru Gene; Bayer Corp.) were analyzed to assess the utility of these data for detecting and characterizing non-subtype-B HIV-1 strains. A total of 125 viral sequences obtained from patients believed to have acquired their HIV-1 infection in Africa were analyzed, of which 121 were determined to belong to non-B subtypes. Utilizing Tru Gene sequence data alone, 92 (76%) of these viruses could be subtyped by conventional phylogenetic analysis. The addition of supplemental RT sequence data enabled a further 28 (23.1%) viruses to be classified, while one (0.9%) sample could not be classified conclusively. Two internet-accessible databases that generate HIV-1 subtypes from PR and RT sequences (HIV-SEQ and Geno 2 Pheno) were also evaluated, and both achieved 88% concordance (106/120) with phylogenetic analysis. Non-subtype-B and B-subtype HIV-1 sequences could be readily discriminated by tallying silent polymorphisms listed on the Tru Gene research report. The mean number of silent polymorphisms in the non-B HIV-1 sequences identified in this study was 58.3 (95% confidence interval [CI], 41.1 to 75.5), compared with 20.7 (95% CI, 9.9 to 31.5) for the four subtype B viruses in the study cohort and 118 case-matched B-subtype controls. Sequence data generated in the Tru Gene HIV-1 genotyping assay could, therefore, provide a ready means of tracking the prevalence and identity of non-B subtypes in HIV-1-infected populations undergoing routine antiretroviral resistance testing.
使用商业基因分型检测方法(Tru Gene;拜耳公司)在抗逆转录病毒耐药性检测期间获得的1型人类免疫缺陷病毒(HIV-1)蛋白酶(PR)和逆转录酶(RT)基因序列进行了分析,以评估这些数据在检测和鉴定非B亚型HIV-1毒株方面的实用性。对总共125个从据信在非洲感染HIV-1的患者中获得的病毒序列进行了分析,其中121个被确定属于非B亚型。仅利用Tru Gene序列数据,通过传统系统发育分析可对其中92个(76%)病毒进行亚型分类。补充RT序列数据后,又有28个(23.1%)病毒得以分类,而1个(0.9%)样本无法最终分类。还评估了两个可通过互联网访问的根据PR和RT序列生成HIV-1亚型的数据库(HIV-SEQ和Geno 2 Pheno),二者与系统发育分析的一致性均达到88%(106/120)。通过统计Tru Gene研究报告中列出的沉默多态性,可轻松区分非B亚型和B亚型HIV-1序列。本研究中鉴定出的非B HIV-1序列中沉默多态性的平均数为58.3(95%置信区间[CI],41.1至75.5),而研究队列中的4个B亚型病毒以及118个病例匹配的B亚型对照的该平均数为20.7(95%CI,9.9至31.5)。因此,Tru Gene HIV-1基因分型检测中生成的序列数据可为追踪接受常规抗逆转录病毒耐药性检测的HIV-1感染人群中非B亚型的流行情况和特征提供一种便捷方法。