Defining and Manipulating B Cell Immunodominance Hierarchies to Elicit Broadly Neutralizing Antibody Responses against Influenza Virus.
Defining and Manipulating B Cell Immunodominance Hierarchies to Elicit Broadly Neutralizing Antibody Responses against Influenza Virus.
复制标题
定义和操纵B细胞免疫优势层次结构,以广泛中和针对流感病毒的抗体反应。
DOI:
10.1016/j.cels.2020.09.005
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发表时间:
2020-12-16
期刊:
影响因子:
9.3
通讯作者:
Chakraborty AK
中科院分区:
文献类型:
--
作者:
Amitai A;Sangesland M;Barnes RM;Rohrer D;Lonberg N;Lingwood D;Chakraborty AK
The antibody repertoire possesses near limitless diversity, enabling the adaptive immune system to accommodate essentially any antigen. However, this diversity explores the antigenic space unequally, allowing some pathogens like influenza virus to impose complex immunodominance hierarchies that distract antibody responses away from key sites of virus vulnerability. We developed a computational model of affinity maturation to map the patterns of immunodominance that evolve upon immunization with natural and engineered displays of hemagglutinin (HA), the influenza vaccine antigen. Based on this knowledge, we designed immunization protocols that subvert immune distraction and focus serum antibody responses upon a functionally conserved, but immunologically recessive, target of human broadly neutralizing antibodies. We tested in silico predictions by vaccinating transgenic mice in which antibody diversity was humanized to mirror clinically relevant humoral output. Collectively, our results demonstrate that complex patterns in antibody immunogenicity can be rationally defined and then manipulated to elicit engineered immunity. Antibodies against the hemagglutinin (HA) spike protein of influenza virus naturally target immunodistractive features rather than conserved sites that confer broad neutralization. Amitai et al. resolve drivers of immunodominance computationally and then apply this knowledge in vivo to refocus humoral responses against a ‘universal’ vaccine target.
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DOI:
10.1084/jem.20200206
发表时间:
2020-10-05
期刊:
The Journal of experimental medicine
影响因子:
--
作者:
Cassotta A;Paparoditis P;Geiger R;Mettu RR;Landry SJ;Donati A;Benevento M;Foglierini M;Lewis DJM;Lanzavecchia A;Sallusto F
通讯作者:
Sallusto F
影响因子:
17.1
作者:
Andrews SF;Huang Y;Kaur K;Popova LI;Ho IY;Pauli NT;Henry Dunand CJ;Taylor WM;Lim S;Huang M;Qu X;Lee JH;Salgado-Ferrer M;Krammer F;Palese P;Wrammert J;Ahmed R;Wilson PC
通讯作者:
Wilson PC
影响因子:
15.3
作者:
Dosenovic, Pia;Pettersson, Anna-Klara;McGuire, Andrew T.
通讯作者:
McGuire, Andrew T.
影响因子:
2.2
作者:
Altman, Meghan O.;Angeletti, Davide;Yewdell, Jonathan W.
通讯作者:
Yewdell, Jonathan W.
影响因子:
19.7
作者:
HANLEY, JA;MCNEIL, BJ
通讯作者:
MCNEIL, BJ