Janini L M, Pieniazek D, Peralta J M, Schechter M, Tanuri A, Vicente A C, dela Torre N, Pieniazek N J, Luo C C, Kalish M L, Schochetman G, Rayfield M A
Division of AIDS, STD, TB, Laboratory Research (DASTLR), Centers for Disease Control and Prevention, Atlanta, Georgia 30333, USA.
Virus Genes. 1996;13(1):69-81. doi: 10.1007/BF00576981.
The simultaneous presence of multiple HIV-1 subtypes has become common in communities with the growth of the pandemic. As a consequence, the potentiality for an increased frequency of HIV-1 mixed infections caused by viruses of distinct subtypes could be expected. Thus, there is a need to estimate the prevalence and geographic distribution of infections caused by viruses of a singular subtype as well as coinfections caused by two or more HIV-1 strains of distinct subtypes. To address this need, we have developed a genetic method based on restriction fragment length polymorphism (RFLP) to screen for these two types of infections within infected populations. In this assay, restriction enzymes may be used to predict the phylogroup of HIV-1 infected samples. A 297 bp pol fragment spanning the entire viral protease gene and a 311 bp fragment of the p24 gag region are used for this analysis. The viral regions are amplified by nested PCR using DNA templates from uncultured peripheral blood mononuclear cells (PBMC) or virus culture. Classification of HIV-1 strains to well defined subtypes B, D, F, and A/C is done by sequential endonuclease restriction analysis of a PCR amplified-protease gene followed by analysis of the p24 gag region. The electrophoretic migration patterns visualized by ethidium bromide staining or by radiolabeled probes are then determined on a 10% polyacrylamide gel. In infections caused by viruses of a singular subtype, a single restriction pattern is detected, whereas in multiple infections caused by two or more viral strains of different subtypes, the combination of different digestion patterns are observed in infected individuals. Using this methodology we have screened for genetic variations in HIV-1 proviral DNA from thirty-three Brazilian samples. Our RFLP procedure classified thirty-two samples as single infections caused by viruses of subtypes B (31) and F (1), and one sample as dual infection caused by distinct viral strains. Subsequent sequence and phylogenetic analysis of the viral protease gene in lymphocytes of all these patients confirmed our RFLP findings in single infections, and demonstrated the existence of two distinct HIV-1 strains of subtypes F and D in a patient which lymphocytes showed the simultaneous presence of two different digestion patterns. As up to now, single infections caused by subtype D variants were not identified in Brazil, our data provide the first evidence of subtype D HIV-1 in this country. Because sequencing of HIV proviral DNA is not particularly practical for large-scale molecular epidemiological studies, the protease/gag-based RFLP screening method will be useful to predict the phylogroup of HIV-1, and to identify multiple infections caused by HIV-1 strains of distinct subtypes. We believe that this information is crucial for both evaluation of the HIV-1/AIDS pandemic and intervention strategies.
随着艾滋病大流行的发展,多种HIV-1亚型同时存在的情况在社区中已变得很常见。因此,可以预期由不同亚型病毒引起的HIV-1混合感染频率增加的可能性。因此,有必要估计由单一亚型病毒引起的感染以及由两种或更多种不同亚型的HIV-1毒株引起的合并感染的流行率和地理分布。为满足这一需求,我们开发了一种基于限制性片段长度多态性(RFLP)的基因方法,用于在感染人群中筛查这两种类型的感染。在该检测中,限制性内切酶可用于预测HIV-1感染样本的进化分支。一个跨越整个病毒蛋白酶基因的297 bp pol片段和p24 gag区域的一个311 bp片段用于此分析。使用来自未培养的外周血单核细胞(PBMC)或病毒培养物的DNA模板,通过巢式PCR扩增病毒区域。通过对PCR扩增的蛋白酶基因进行连续的内切酶限制性分析,然后分析p24 gag区域,将HIV-1毒株分类为明确的B、D、F和A/C亚型。然后在10%聚丙烯酰胺凝胶上确定通过溴化乙锭染色或放射性标记探针可视化 的电泳迁移模式。在由单一亚型病毒引起的感染中,检测到单一的限制性模式,而在由两种或更多种不同亚型的病毒毒株引起的多重感染中,在感染个体中观察到不同消化模式的组合。使用这种方法,我们筛查了来自33个巴西样本的HIV-1前病毒DNA中的基因变异。我们的RFLP程序将32个样本分类为B(31个)和F(1个)亚型病毒引起的单一感染,1个样本分类为不同病毒毒株引起的双重感染。随后对所有这些患者淋巴细胞中的病毒蛋白酶基因进行序列和系统发育分析,证实了我们在单一感染中的RFLP结果,并证明在一名淋巴细胞显示同时存在两种不同消化模式的患者中存在两种不同的F和D亚型HIV-1毒株。由于到目前为止,巴西尚未发现由D亚型变异株引起的单一感染,我们的数据提供了该国D亚型HIV-1的首个证据。由于对HIV前病毒DNA进行测序对于大规模分子流行病学研究来说不太实际,基于蛋白酶/gag的RFLP筛查方法将有助于预测HIV-1的进化分支,并识别由不同亚型的HIV-毒株引起的多重感染。我们认为,这些信息对于评估HIV-1/艾滋病大流行以及干预策略都至关重要。