Literature DB >> 8281130

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

B Sulzer1, J L van Hemmen, A U Neumann, U Behn.   

Abstract

A model employing separate dose-dependent response functions for proliferation and differentiation of idiotypically interacting B cell clones is presented. For each clone the population dynamics of proliferating B cells, non-proliferating B cells and free antibodies are considered. An effective response function, which contains the total impact of proliferation and differentiation at the fixed points, is defined in order to enable an exact analysis. The analysis of the memory states is restricted in this paper to a two-species system. The conditions for the existence of locally stable steady states with expanded B cell and antibody populations are established for various combinations of different field-response functions (e.g. linear, saturation, log-bell functions). The stable fixed points are interpreted as memory states in terms of immunity and tolerance. It is proven that a combination of linear response functions for both proliferation and differentiation does not give rise to stable fixed points. However, due to competition between proliferation and differentiation saturation response functions are sufficient to obtain two memory states, provided proliferation precedes differentiation and also saturates earlier. The use of log-bell-shaped response functions for both proliferation and differentiation gives rise to a "mexican-hat" effective response function and allows for multiple (four to six) memory states. Both a primary response and a much more pronounced secondary response are observed. The stability of the memory states is studied as a function of the parameters of the model. The attractors lose their stability when the mean residence time of antibodies in the system is much longer than the B cells' lifetime. Neither the stability results nor the dynamics are qualitatively changed by the existence of non-proliferating B cells: memory states can exist and be stable without non-proliferating B cells. Nevertheless, the activation of non-proliferating B cells and the competition between proliferation and differentiation enlarge the parameter regime for which stable attractors are found. In addition, it is shown that a separate activation step from virgin to active B cells renders the virgin state stable for any choice of biologically reasonable parameters.

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Year:  1993        PMID: 8281130     DOI: 10.1007/BF02460702

Source DB:  PubMed          Journal:  Bull Math Biol        ISSN: 0092-8240            Impact factor:   1.758


  25 in total

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Journal:  Eur J Immunol       Date:  1975-09       Impact factor: 5.532

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Authors:  A U Neumann; G Weisbuch
Journal:  Bull Math Biol       Date:  1992-09       Impact factor: 1.758

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Authors:  F J Varela; J Stewart
Journal:  J Theor Biol       Date:  1990-05-10       Impact factor: 2.691

5.  Maintenance of B-cell memory by long-lived cells generated from proliferating precursors.

Authors:  B Schittek; K Rajewsky
Journal:  Nature       Date:  1990-08-23       Impact factor: 49.962

Review 6.  Beyond clonal selection and network.

Authors:  A Coutinho
Journal:  Immunol Rev       Date:  1989-08       Impact factor: 12.988

7.  Unreasonable implications of reasonable idiotypic network assumptions.

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

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Authors:  G I Bell
Journal:  J Theor Biol       Date:  1970-11       Impact factor: 2.691

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Authors:  U Behn; J L van Hemmen; B Sulzer
Journal:  J Theor Biol       Date:  1993-11-07       Impact factor: 2.691

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Authors:  Z Grossman; R Asofsky; C DeLisi
Journal:  J Theor Biol       Date:  1980-05-07       Impact factor: 2.691

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  8 in total

1.  Glassy dynamics in the adaptive immune response prevents autoimmune disease.

Authors:  Jun Sun; David J Earl; Michael W Deem
Journal:  Phys Rev Lett       Date:  2005-09-29       Impact factor: 9.161

2.  A new bell-shaped function for idiotypic interactions based on cross-linking.

Authors:  R J De Boer; M C Boerlijst; B Sulzer; A S Perelson
Journal:  Bull Math Biol       Date:  1996-03       Impact factor: 1.758

Review 3.  Cross-linking reconsidered: binding and cross-linking fields and the cellular response.

Authors:  B Sulzer; R J De Boer; A S Perelson
Journal:  Biophys J       Date:  1996-03       Impact factor: 4.033

4.  Contributions of memory B cells to secondary immune response.

Authors:  S G Guan; A S Qi
Journal:  Bull Math Biol       Date:  1995-09       Impact factor: 1.758

5.  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

6.  Central immune system, the self and autoimmunity.

Authors:  B Sulzer; J L Van Hemmen; U Behn
Journal:  Bull Math Biol       Date:  1994-11       Impact factor: 1.758

7.  Immunosignaturing can detect products from molecular markers in brain cancer.

Authors:  Alexa K Hughes; Zbigniew Cichacz; Adrienne Scheck; Stephen W Coons; Stephen Albert Johnston; Phillip Stafford
Journal:  PLoS One       Date:  2012-07-16       Impact factor: 3.240

8.  Physical characterization of the "immunosignaturing effect".

Authors:  Phillip Stafford; Rebecca Halperin; Joseph Bart Legutki; Dewey Mitchell Magee; John Galgiani; Stephen Albert Johnston
Journal:  Mol Cell Proteomics       Date:  2012-01-18       Impact factor: 5.911

  8 in total

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