Literature DB >> 8894121

Linear systems analysis of activating processes of complement system as a defense mechanism.

H Hirayama1, K Yoshii, H Ojima, N Kawai, S Gotoh, Y Fukuyama.   

Abstract

The complement system is an important element of the host defense mechanism, although its kinetics and characteristics as a system are still unclear. We have investigated its temporal changes and system properties from the view point of system engineering. The temporal changes of sequential activating processes of the system were expressed by 26 non-linear differential equations using reported values of rate constants and serum concentration for each component. The intermediate products in the activating processes increased parabolically while the membrane attack component as the final product, increased linearly. The little change in inactive precursors afforded validity for system linearization. Linear systems analysis revealed that the system which was insensitive to the changes in rate constants was unstable. The system became stable when the feed-back input from the final product was set to operate on the first step of the activating processes. Seven uncontrollable variables were insensitive to changes in rate constants or system optimization that minimized the changes in concentrations of components in the complement system. The singular values of the complement system were reduced and the impulse responses of the system were improved when the system was optimized. When stronger minimization was imposed on the changes of concentration of the components in the complement system, the singular values were reduced more, the magnitude of the impulse responses was depressed further and the responses terminated earlier than those when the elements in the weighting matrix of concentration of the components were set to be unity. By this potent minimization, the influences of changes in rate constants on the singular values were diminished. The present theoretical analysis is presented to evaluate the ability of defense mechanism of complement system.

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Year:  1996        PMID: 8894121     DOI: 10.1016/0303-2647(96)01617-6

Source DB:  PubMed          Journal:  Biosystems        ISSN: 0303-2647            Impact factor:   1.973


  10 in total

1.  A computational and experimental study of the regulatory mechanisms of the complement system.

Authors:  Bing Liu; Jing Zhang; Pei Yi Tan; David Hsu; Anna M Blom; Benjamin Leong; Sunil Sethi; Bow Ho; Jeak Ling Ding; P S Thiagarajan
Journal:  PLoS Comput Biol       Date:  2011-01-20       Impact factor: 4.475

2.  A computational model for the evaluation of complement system regulation under homeostasis, disease, and drug intervention.

Authors:  Nehemiah Zewde; Dimitrios Morikis
Journal:  PLoS One       Date:  2018-06-06       Impact factor: 3.240

3.  Multiscale Solutions to Quantitative Systems Biology Models.

Authors:  Nehemiah T Zewde
Journal:  Front Mol Biosci       Date:  2019-10-30

4.  Systems Biology Modeling of the Complement System Under Immune Susceptible Pathogens.

Authors:  Nehemiah T Zewde; Rohaine V Hsu; Dimitrios Morikis; Giulia Palermo
Journal:  Front Phys       Date:  2021-04-29

5.  Mathematical Modeling of Complement Pathway Dynamics for Target Validation and Selection of Drug Modalities for Complement Therapies.

Authors:  Loveleena Bansal; Eva-Maria Nichols; Daniel P Howsmon; Jessica Neisen; Christina M Bessant; Fraser Cunningham; Sebastien Petit-Frere; Steve Ludbrook; Valeriu Damian
Journal:  Front Pharmacol       Date:  2022-04-19       Impact factor: 5.988

6.  Quantitative Modeling of the Alternative Pathway of the Complement System.

Authors:  Nehemiah Zewde; Ronald D Gorham; Angel Dorado; Dimitrios Morikis
Journal:  PLoS One       Date:  2016-03-31       Impact factor: 3.240

7.  Reduced order modeling and analysis of the human complement system.

Authors:  Adithya Sagar; Wei Dai; Mason Minot; Rachel LeCover; Jeffrey D Varner
Journal:  PLoS One       Date:  2017-11-20       Impact factor: 3.240

8.  Quantification of Factor H Mediated Self vs. Non-self Discrimination by Mathematical Modeling.

Authors:  Alexander Tille; Teresa Lehnert; Peter F Zipfel; Marc Thilo Figge
Journal:  Front Immunol       Date:  2020-09-02       Impact factor: 7.561

9.  Mathematical Modelling of Alternative Pathway of Complement System.

Authors:  Suruchi Bakshi; Fraser Cunningham; Eva-Maria Nichols; Marta Biedzka-Sarek; Jessica Neisen; Sebastien Petit-Frere; Christina Bessant; Loveleena Bansal; Lambertus A Peletier; Stefano Zamuner; Piet H van der Graaf
Journal:  Bull Math Biol       Date:  2020-02-15       Impact factor: 1.758

10.  Modeling the activation of the alternative complement pathway and its effects on hemolysis in health and disease.

Authors:  Antonello Caruso; Jannik Vollmer; Matthias Machacek; Elod Kortvely
Journal:  PLoS Comput Biol       Date:  2020-10-02       Impact factor: 4.475

  10 in total

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