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A review of quantitative modeling of B cell responses to antigenic challenge
被引:2
作者:
Hickling, Timothy P.
[1
]
Chen, Xiaoying
[2
]
Vicini, Paolo
[3
]
Nayak, Satyaprakash
[4
]
机构:
[1] Pfizer, Dynam & Metab New Biol Ent, Pharmacokinet, Andover, MA USA
[2] Pfizer, Pharmacokinet, Dynam & Metab New Biol Ent, Cambridge, MA USA
[3] Pfizer, Pharmacokinet, Dynam & Metab New Biol Ent, San Diego, CA USA
[4] Pfizer, Global Clin Pharmacol, Pharmacometr, Cambridge, MA 02139 USA
关键词:
B cell receptors;
Affinity maturation;
Epitope recognition;
Agent based modeling;
Differential equations;
T cell dependent activation;
GERMINAL CENTER KINETICS;
MATHEMATICAL-MODEL;
IMMUNE-SYSTEM;
AFFINITY MATURATION;
ANTIBODY-PRODUCTION;
CLONAL SELECTION;
HIV-INFECTION;
T-CELL;
PREDICTION TOOLS;
NETWORK THEORY;
D O I:
10.1007/s10928-014-9388-7
中图分类号:
R9 [药学];
学科分类号:
1007 ;
摘要:
A key role of B cells in the mammalian immune response is the generation of antibodies that serve to protect the organism against antigenic challenges. The same process may also be detrimental in the context of autoimmunity. Several modeling approaches have been applied to this aspect of the immune response, from predicting potential epitopes to describing B cells progress through developmental models and simulating antibody production. Here we review some of the modeling techniques, and summarize models that describe different activation mechanisms for B cells, including T cell dependent and independent models. We focus on viral infection as a prototype system, and briefly describe case studies in other disease areas such as bacterial infection and oncology. We single out aspects of the B cell response for which there are current knowledge gaps. We outline areas in need of further research in modeling applications to ultimately produce a "B cell module" for a complete immune response model.
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页码:445 / 459
页数:15
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