Institute of Bioinformatics and Systems Biology, National Chiao Tung University, Hsinchu 30050, Taiwan.
BMC Bioinformatics. 2011 Feb 15;12 Suppl 1(Suppl 1):S31. doi: 10.1186/1471-2105-12-S1-S31.
In circulating influenza viruses, gradually accumulated mutations on the glycoprotein hemagglutinin (HA), which interacts with infectivity-neutralizing antibodies, lead to the escape of immune system (called antigenic drift). The antibody recognition is highly correlated to the conformation change on the antigenic sites (epitopes), which locate on HA surface. To quantify a changed epitope for escaping from neutralizing antibodies is the basis for the antigenic drift and vaccine development.
We have developed an epitope-based method to identify the antigenic drift of influenza A utilizing the conformation changes on epitopes. A changed epitope, an antigenic site on HA with an accumulated conformation change to escape from neutralizing antibody, can be considered as a "key feature" for representing the antigenic drift. According to hemagglutination inhibition (HI) assays and HA/antibody complex structures, we statistically measured the conformation change of an epitope by considering the number of critical position mutations with high genetic diversity and antigenic scores. Experimental results show that two critical position mutations can induce the conformation change of an epitope to escape from the antibody recognition. Among five epitopes of HA, epitopes A and B, which are near to the receptor binding site, play a key role for neutralizing antibodies. In addition, two changed epitopes often drive the antigenic drift and can explain the selections of 24 WHO vaccine strains.
Our method is able to quantify the changed epitopes on HA for predicting the antigenic variants and providing biological insights to the vaccine updates. We believe that our method is robust and useful for studying influenza virus evolution and vaccine development.
在循环流感病毒中,与感染性中和抗体相互作用的糖蛋白血凝素 (HA) 上逐渐积累的突变导致免疫系统逃逸(称为抗原漂移)。抗体识别与抗原表位(抗原决定簇)上的构象变化高度相关,这些表位位于 HA 表面。量化逃避中和抗体的改变表位是抗原漂移和疫苗开发的基础。
我们开发了一种基于表位的方法,利用表位上的构象变化来识别流感 A 的抗原漂移。一个改变的表位是 HA 上的一个抗原决定簇,由于构象变化而逃避中和抗体的识别,可以被认为是代表抗原漂移的“关键特征”。根据血凝抑制(HI)试验和 HA/抗体复合物结构,我们通过考虑具有高遗传多样性和抗原评分的关键位置突变数量,统计测量了一个表位的构象变化。实验结果表明,两个关键位置突变可以诱导表位的构象变化,从而逃避抗体的识别。在 HA 的五个表位中,靠近受体结合位点的表位 A 和 B 对中和抗体起着关键作用。此外,两个改变的表位通常会驱动抗原漂移,并可以解释 24 个世界卫生组织疫苗株的选择。
我们的方法能够量化 HA 上的改变表位,以预测抗原变异,并为疫苗更新提供生物学见解。我们相信,我们的方法是稳健且有用的,可用于研究流感病毒的进化和疫苗开发。