Literature DB >> 1234059

A network theory of the immune system.

P H Richter.   

Abstract

The fact that every antibody also has antigenic properties leads to the existence of a functional network of interacting antibodies and lymphocytes in the immune system. With a minimum set of assumptions about the nature of these interactions some of the principal features of the immune response such as normal primary and secondary response, low and high zone tolerance induction, and memory can be reproduced. The low zone tolerance phenomenon plays a central role in our theory, as it is the simplest nontrivial mode of response to an antigenic stimulus. It may be understood as the defeat of the stimulated lymphocyte species against their internal adversaries. The normal response and high zone tolerance induction may be characterized as low zone tolerance on a second and third level of a hierarchy of lymphocyte populations. In particular, the weakness of the primary response is explained in terms of internal struggles which lead to a final suppression of the aggressors, thereby opening the way for an unhindered secondary response.

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Year:  1975        PMID: 1234059     DOI: 10.1002/eji.1830050511

Source DB:  PubMed          Journal:  Eur J Immunol        ISSN: 0014-2980            Impact factor:   5.532


  15 in total

1.  Modeling immune reactivity in secondary lymphoid organs.

Authors:  A S Perelson; G Weisbuch
Journal:  Bull Math Biol       Date:  1992-07       Impact factor: 1.758

Review 2.  A review of quantitative modeling of B cell responses to antigenic challenge.

Authors:  Timothy P Hickling; Xiaoying Chen; Paolo Vicini; Satyaprakash Nayak
Journal:  J Pharmacokinet Pharmacodyn       Date:  2014-10-19       Impact factor: 2.745

3.  Memory but no suppression in low-dimensional symmetric idiotypic networks.

Authors:  R J De Boer; P Hogeweg
Journal:  Bull Math Biol       Date:  1989       Impact factor: 1.758

Review 4.  Autoregulation of immune responses via idiotype network interactions.

Authors:  L S Rodkey
Journal:  Microbiol Rev       Date:  1980-12

5.  Idiotypic regulation of the immune system by the induction of antibodies against anti-idiotypic antibodies.

Authors:  J Urbain; M Wikler; J D Franssen; C Collignon
Journal:  Proc Natl Acad Sci U S A       Date:  1977-11       Impact factor: 11.205

6.  Memory in idiotypic networks due to competition between proliferation and differentiation.

Authors:  B Sulzer; J L van Hemmen; A U Neumann; U Behn
Journal:  Bull Math Biol       Date:  1993-11       Impact factor: 1.758

7.  A Cayley tree immune network model with antibody dynamics.

Authors:  R W Anderson; A U Neumann; A S Perelson
Journal:  Bull Math Biol       Date:  1993-11       Impact factor: 1.758

8.  Memory capacity in large idiotypic networks.

Authors:  J H Boutet de Monvel; O C Martin
Journal:  Bull Math Biol       Date:  1995-01       Impact factor: 1.758

9.  Immune network behavior--I. From stationary states to limit cycle oscillations.

Authors:  R J De Boer; A S Perelson; I G Kevrekidis
Journal:  Bull Math Biol       Date:  1993       Impact factor: 1.758

10.  A mathematical model of B lymphocyte differentiation: control by antigen.

Authors:  P Klein; J Sterzl; J Dolezal
Journal:  J Math Biol       Date:  1981       Impact factor: 2.259

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