Lytvynets L. Asthma in children: clinical and genetic markers, prognosis, differential treatment and prevention tactics.

Українська версія

Thesis for the degree of Doctor of Science (DSc)

State registration number

0516U000110

Applicant for

Specialization

  • 14.01.10 - Педіатрія

29-01-2016

Specialized Academic Board

Д 58.601.02

Essay

Dissertation is devoted to the study of mechanisms of development, course features, modern diagnosis, genetic markers, prediction of occurrence and severity, prevention of asthma in children. The author of the conducted research set the basic clinical and phenotypic manifestations in children with varying degrees of asthma control. Based on a comprehensive analysis of key health and social, genetic, immunogenetic, environmental risk factors in children who suffers from asthma, there was made the mathematical model and algorithm for predicting of the risk and severity of disease. In this research was conducted the clinical and pathogenetic parallels between groups of children with varying degrees of control over asthma and changes in immune and cytokine status. It was found the connection of bioelement disorders and imbalances of the peroxidation system of the proteins in the development and progression of asthma. We have got the further developed of study of cytogenetic karyotype features in Carpathian children with bronchial asthma. It is shown that characteristic of the misthein creasing of number of associations of acrocentric chromosomes and their combinations. There were expanded the scientific concepts about the role of genes GSTM1 and GSTT1 and mEPXH1 genes as candidates for development of asthma in children and there lationship of allelic polymorphisms of genes of I and II phase of detoxification of xenobiotics with the degree of control of asthma. There was developed the algorithm of prognostication of the possibility of the development and severity of asthma, which allows to include a child at risk group in time and apply the individualized treatment and preventive measures.

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