Lymphokines active in B cell proliferation and differentiation

Mathematical model of antiviral immune response. I. Data analysis, generalized picture construction and parameters evaluation for hepatitis B

The present approach to the mathematical modelling of infectious diseases is based upon the idea that specific immune mechanisms play a leading role in development, course, and outcome of infectious disease. The model describing the reaction of the immune system to infectious agent invasion is constructed on the bases of Burnet's clonal selection theory and the co-recognition principle. The mathematical model of antiviral immune response is formulated by a system of ten non-linear delay-differential equations. The delayed argument terms in the right-hand part are used for the description of lymphocyte division, multiplication and differentiation processes into effector cells. The analysis of clinical and experimental data allows one to construct the generalized picture of the acute form of viral hepatitis B. The concept of the generalized picture includes a quantitative description of dynamics of the principal immunological, virological and clinical characteristics of the disease. Data of immunological experiments in vitro and experiments on animals are used to obtain estimates of permissible values of model parameters. This analysis forms the bases for the solution of the parameter identification problem for the mathematical model of antiviral immune response which will be the topic of the following paper (Marchuk et al., 1991, J. theor. Biol. 15).

Structure and function of the immune system

The major function of the immune system is to protect the host from environmental agents such as microbes or chemicals, thereby preserving the integrity of the body. This is done by the recognition of self and response to non-self. The immune response has been artificially divided into innate immunity (resistance) and specific immunity. Specific immunity is further divided into humoral immunity, the one involved with antibody, and cellular immunity, which is orchestrated by T cells. It is essential to understand that although these divisions have helped in understanding and analyzing the immune response, the system functions as a single unit rather than as a separate entity. In this paper, a simplified analysis of specific immunity will be given. However, the importance of nonspecific immunity, especially as it pertains to its role in preventing exposure of environmental substances, should not be forgotten.

IgM RNA switch from membrane to secretory form is prevented by adding antireceptor antibody to bacterial lipopolysaccharide-stimulated murine primary B-cell cultures

Bacterial lipopolysaccharide (LPS) induces proliferation of resting primary murine B lymphocytes and their differentiation into Ig-secreting cells. This is accompanied by an increase in the rate of Ig gene transcription and the accumulation of mu heavy chain secretory mRNA. Specific antiantigen receptor antibody (anti-mu) induces resting B cells to proliferation but not differentiation. Upon addition of both LPS and anti-mu to cultures, resting B cells again proliferate but do not differentiate. RNA transfer blots of the Ig mRNA 2 days after induction with LPS/anti-mu show a specific deficiency of the 2.4-kilobase (kb) mu secretory mRNA, whereas the levels of the 2.7-kb mu membrane and 1.2-kb kappa light chain mRNAs are as high as in cells treated with LPS alone. Between days 3 and 4 after treatment with both reagents, reductions of mu membrane and, to a smaller extent, kappa mRNA become apparent. As measured by nuclear run-on transcription experiments at day 2, the transcription rates of Ig mu and the Ig kappa transcription units are equal in both induction experiments. Only at later stages do the LPS/anti-mu-treated cells transcribe Ig genes at a lower rate. Thus, the anti-mu treatment, drastically reducing the mu secretory mRNA production at early stages, represents a negative regulation occurring primarily at the posttranscriptional level.