Team:HZAU-China/Modeling/Immune responce

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<p style="font-size:16px;font-family:arial, sans-serif;">The values of the parameters are determined by experiments using data fitting and listed in the following table.</p>
<p style="font-size:16px;font-family:arial, sans-serif;">The values of the parameters are determined by experiments using data fitting and listed in the following table.</p>
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<p style="font-size:16px;font-family:arial, sans-serif;"><center><h3>Tabel 1</h3>. The parameters related immune response.</center></p>
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<p style="font-size:16px;font-family:arial, sans-serif;"><center>Tabel 1. The parameters related immune response.</center></p>
<p  style="text-align:center;"><a><img width="650" src="https://static.igem.org/mediawiki/2013/4/42/Hongping9_26.png" ></a></br></p>
<p  style="text-align:center;"><a><img width="650" src="https://static.igem.org/mediawiki/2013/4/42/Hongping9_26.png" ></a></br></p>

Revision as of 04:21, 27 September 2013


Immune responce


Aim:

To know how much glycoprotein could cause the immune response to generate adequate levels of antibody.

Steps:

1. Build the model;

2. Determine the parameters;

3. Simulate and analyze the results.

Background:

In mammals, when foreign materials are detected in the body, B cells transform into B lymphocytes that could secrete antibodies. B cells could also proliferate itself and antibodies are produced by the stimulation of specific antigens.

Most of the antigens cannot proliferate, so they will be cleaned by the immune system quickly. But here our glycoprotein is proliferative, and it is possible for it to ultimately reach a steady value.

Suppose N is the concentration of the antigen (glycoprotein) and A is the concentration of the antibody. Assume that the rate of B lymphocyte secreting antibody is f(N).If the amount of antigen is small, f(N) is approximate to βN where is a parameter. Suppose that the growth rate of the antigen is αN and the mortality rate of the antigen is subject to mass interaction law with antiboby, then, the change rate of antigen with time can be expressed as:

N=αN-κAN          (1)

where κ is parameter.

Suppose the mortality rate of the antibody is subject to mass interaction law with antigen and the self degradation rate of antibody is , then, the change rate of antibody with time is expressed as:

A=-κAN+βN-μA          (2)

The values of the parameters are determined by experiments using data fitting and listed in the following table.

Tabel 1. The parameters related immune response.


We used matlab to solve differential equations. The concentration of antibody and antigen changes over time and the figure is as follows.


Also we drew the relationship diagrams between antibody and antigen


From the figures we could know that the amount of antigen is gradually reduce and the amount of antibody is gradually increase with the extension of time. Also we may find out the relationship between antibody and antigen. The amount of antibody would eventually reach a stable value. If the amount of antibody is not meet our requirements, the dog could be immune for many times.

Reference

1Liu Qing. The analysis of the relationship between antibody and antigen in immune response[J]. Journal of Ningxia University:17(4):64-66

2Yumin Xia, A.J. The constant region affects antigen binding of antibodies to DNA by altering secondary structure[J]. Molecular Immunology,2013, (11) : 28–37

3Jane M., et al., An empirical modeling platform to evaluate the relative control discrete CHO cell synthetic processes exert over recombinant monoclonal antibody production process titer. Biotechnology and Bioengineering, 2011. 108(9), 2193 - 2204