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Can I read Ab-affinity and Ab- forming cells productivity distributions. Direct verification of two mathematical models on EtoBox?

Ab-affinity and Ab- forming cells productivity distributions. Direct verification of two mathematical models by A.Yu. Evlashev; A.I. Dukhin; L.F. Meringova is a Immunology and Microbiology article available to read on EtoBox.

What is Ab-affinity and Ab- forming cells productivity distributions. Direct verification of two mathematical models about?

## Zmnwzodeficiencies 23 June I997 -Poster presentations who were released from clinical ward were then treated at the outpatient clinic. Serological parameters (CRP, C3, C4, IgG, IgA, IgM, immune complexes) were determined, and lymphocyte subsets were analysed by the flow cytometry. Each patient was tested at least five times in 39 days. ## Conclusion: The model shows that TCV can be explained in terms of a switch from a passive form of tolerance to an active fon of tolerance, in which the regulatory cells control the autoreactive T cells. We observed significant increase of T lymphocytes (mainly CD4+, CD8+, CDE+/CD38+) and NK cells in a group of patients with various malignant tumours. According to HLA-DR expression, absolute counts of activated T cells increased twice. CRP levels decreased quickly in most patients. On the other hand. neither immunoolobulines. nor B cells showed any significant difference. Group of the pati& in relatively stabilized stage-of-neoplastic disease showed promisingly positive effect of nucleotide supplement on cellular immunity, especially on T cell effector subsets. However, there is no evidence of its benefit in the progression of cancer disease.

Who reads Ab-affinity and Ab- forming cells productivity distributions. Direct verification of two mathematical models?

It is typically read by researchers, students, and practitioners in Immunology and Microbiology.

Author
A.Yu. Evlashev; A.I. Dukhin; L.F. Meringova
Publisher
Elsevier Science; Elsevier ; Elsevier BV (ISSN 0165-2478)
Published
1997
Language
EN
Field
Immunology and Microbiology (Life Sciences)

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