TY - JOUR
T1 - A discrete computer model of the immune system reveals competitive interactions between the humoral and cellular branch and between cross-reacting memory and naïve responses
AU - Cheng, Yiming
AU - Ghersi, Dario
AU - Calcagno, Claudia
AU - Selin, Liisa K.
AU - Puzone, Roberto
AU - Celada, Franco
N1 - Funding Information:
Research in this publication was supported by NIH/NIAID through Grant R01-AI054455 awarded to F. Celada. The copyright on the code of IMMSIMM-C utilized throughout the research belongs to R. Puzone and his employer, IST (National Institute for Cancer Research). The expert secretarial assistance by Francesca Priarone and Elisa Tedone is gratefully acknowledged.
PY - 2009/2/5
Y1 - 2009/2/5
N2 - In an agent-based computer model, we simulate the formation and recall of anti-virus immunological memory. Specifically we try to predict what will happen, both to the response and to memory, when the second infecting virus is partly different from the first one, and when the cross-reactivity of the two branches of the immune system (IS), humoral and cellular, is asymmetrical, or "split". The simulations explore systematically epitope distances, and measure all changes in affinity, cellularity and efficiency in clearing the infection. Besides obvious cooperations, they reveal powerful competitions between the branches, and more intriguing, between cross-reacting and new responses when the latter suffer the competition by preformed cell-rich but inefficient clones, as memory, usually an asset, becomes a liability.
AB - In an agent-based computer model, we simulate the formation and recall of anti-virus immunological memory. Specifically we try to predict what will happen, both to the response and to memory, when the second infecting virus is partly different from the first one, and when the cross-reactivity of the two branches of the immune system (IS), humoral and cellular, is asymmetrical, or "split". The simulations explore systematically epitope distances, and measure all changes in affinity, cellularity and efficiency in clearing the infection. Besides obvious cooperations, they reveal powerful competitions between the branches, and more intriguing, between cross-reacting and new responses when the latter suffer the competition by preformed cell-rich but inefficient clones, as memory, usually an asset, becomes a liability.
KW - Agent-based computer model
KW - Cellular/humoral response
KW - Viral cross-reactivity
UR - http://www.scopus.com/inward/record.url?scp=58249107138&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=58249107138&partnerID=8YFLogxK
U2 - 10.1016/j.vaccine.2008.11.109
DO - 10.1016/j.vaccine.2008.11.109
M3 - Article
C2 - 19101600
AN - SCOPUS:58249107138
SN - 0264-410X
VL - 27
SP - 833
EP - 845
JO - Vaccine
JF - Vaccine
IS - 6
ER -