Zolla-Pazner S, Gorny M K, Nyambi P N, VanCott T C, Nádas A
Veterans Affairs Medical Center, New York, New York 10010, USA.
J Virol. 1999 May;73(5):4042-51. doi: 10.1128/JVI.73.5.4042-4051.1999.
Because immunologic classification of human immunodeficiency virus type 1 (HIV) might be more relevant than genotypic classification for designing polyvalent vaccines, studies were undertaken to determine whether immunologically defined groups of HIV ("immunotypes") could be identified. For these experiments, the V3 region of the 120-kDa envelope glycoprotein (gp120) was chosen for study. Although antibodies (Abs) to V3 may not play a major protective role in preventing HIV infection, identification of a limited number of immunologically defined structures in this extremely variable region would set a precedent supporting the hypothesis that, despite its diversity, the HIV family, like the V3 region, might be divisible into immunotypes. Consequently, the immunochemical reactivities of 1,176 combinations of human anti-V3 monoclonal Abs (MAbs) and V3 peptides, derived from viruses of several clades, were studied. Extensive cross-clade reactivity was observed. The patterns of reactivities of 21 MAbs with 50 peptides from clades A through H were then analyzed by a multivariate statistical technique. To test the validity of the mathematical approach, a cluster analysis of the 21 MAbs was performed. Five groups were identified, and these MAb clusters corresponded to classifications of these same MAbs based on the epitopes which they recognize. The concordance between the MAb clusters identified by mathematical analysis and by their specificities supports the validity of the mathematical approach. Therefore, the same mathematical technique was used to identify clusters within the 50 peptides. Seven groups of peptides, each containing peptides from more than one clade, were defined. Inspection of the amino acid sequences of the peptides in each of the mathematically defined peptide clusters revealed unique "signature sequences" that suggest structural motifs characteristic of each V3-based immunotype. The results suggest that cluster analysis of immunologic data can define immunotypes of HIV. These immunotypes are distinct from genotypic classifications. The methods described pave the way for identification of immunotypes defined by immunochemical and neutralization data generated with anti-HIV Env MAbs and intact, viable HIV virions.
由于在设计多价疫苗方面,人类免疫缺陷病毒1型(HIV)的免疫分类可能比基因分型更具相关性,因此开展了多项研究以确定是否能够识别出HIV的免疫定义组(“免疫型”)。在这些实验中,选择了120 kDa包膜糖蛋白(gp120)的V3区域进行研究。尽管针对V3的抗体(Abs)在预防HIV感染方面可能不发挥主要保护作用,但在这个极易变的区域中识别出有限数量的免疫定义结构将开创一个先例,支持这样的假说:尽管HIV家族具有多样性,但与V3区域一样,它可能可分为免疫型。因此,研究了源自多个进化枝病毒的1176种人抗V3单克隆抗体(MAbs)与V3肽组合的免疫化学反应性。观察到广泛的跨进化枝反应性。然后通过多变量统计技术分析了21种MAbs与来自A至H进化枝的50种肽的反应模式。为了检验该数学方法的有效性,对21种MAbs进行了聚类分析。确定了五组,这些MAb簇与基于它们所识别的表位对这些相同MAbs的分类相对应。通过数学分析确定的MAb簇与其特异性之间的一致性支持了该数学方法的有效性。因此,使用相同的数学技术来识别50种肽中的簇。定义了七组肽,每组包含来自多个进化枝的肽。检查每个数学定义的肽簇中肽的氨基酸序列,发现了独特的“特征序列”,这些序列表明了每种基于V3的免疫型的结构基序特征。结果表明,免疫数据的聚类分析可以定义HIV的免疫型。这些免疫型与基因分型不同。所描述的方法为识别由抗HIV Env MAbs和完整、活的HIV病毒体产生的免疫化学和中和数据所定义的免疫型铺平了道路。