IISc Mathematics Initiative, Indian Institute of Science , Bangalore, India.
IISc Mathematics Initiative, Indian Institute of Science , Bangalore, India ; Department of Biochemistry, Indian Institute of Science , Bangalore, India.
Clin Transl Immunology. 2014 Aug 8;3(8):e24. doi: 10.1038/cti.2014.17. eCollection 2014 Aug.
Despite extensive work on influenza, a number of questions still remain open about why individuals are differently susceptible to the disease and why only some strains lead to epidemics. Here we study the effect of human leukocyte antigen (HLA) genotype heterogeneity on possible cytotoxic T-lymphocyte (CTL) response to 186 influenza H1N1 genomes. To enable such analysis, we reconstruct HLA genotypes in different populations using a probabilistic method. We find that epidemic strains in general correlate with poor CTL response in populations. Our analysis shows that large populations can be classified into a small number of groups called response-types, specific to a given viral strain. Individuals of a response-type are expected to exhibit similar CTL responses. Extent of CTL responses varies significantly across different populations and increases with increase in genetic heterogeneity. Overall, our analysis presents a conceptual advance towards understanding how genetic heterogeneity influences disease susceptibility in individuals and in populations. We also obtain lists of top-ranking epitopes and proteins, ranked on the basis of conservation, antigenic cross-reactivity and population coverage, which provide ready short-lists for rational vaccine design. Our method is fairly generic and has the potential to be applied for studying other viruses.
尽管对流感进行了广泛的研究,但仍有一些问题尚未解决,例如为什么个体对疾病的易感性不同,为什么只有某些毒株会导致流行。在这里,我们研究了人类白细胞抗原(HLA)基因型异质性对 186 种流感 H1N1 基因组可能产生的细胞毒性 T 淋巴细胞(CTL)反应的影响。为了进行这种分析,我们使用概率方法在不同人群中重建 HLA 基因型。我们发现,流行株通常与人群中较差的 CTL 反应相关。我们的分析表明,大量人群可以分为少数称为反应类型的群体,这些群体特定于特定的病毒株。给定反应类型的个体预计会表现出相似的 CTL 反应。不同人群之间的 CTL 反应程度差异很大,并随遗传异质性的增加而增加。总的来说,我们的分析在理解遗传异质性如何影响个体和人群的疾病易感性方面取得了概念上的进展。我们还获得了基于保守性、抗原交叉反应性和人群覆盖率排名的排名最高的表位和蛋白质列表,这些列表为合理的疫苗设计提供了现成的候选清单。我们的方法相当通用,有可能应用于研究其他病毒。