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SIGNIFICANCE OF GENE POLYMORPHISMS OF THE XENOBIOTIC DETOXIFICATION SYSTEM IN DRUG BIOTRANSFORMATION

Authors: Kadirova D.; Dalimova D.; Abdurahimov A.; Turdikulova Sh.;

SIGNIFICANCE OF GENE POLYMORPHISMS OF THE XENOBIOTIC DETOXIFICATION SYSTEM IN DRUG BIOTRANSFORMATION

Abstract

Biotransformation and detoxification of xenobiotics, including drugs that enter the body, is provided by a metabolic system represented by a variety of specialized enzymes functioning according to the cascade principle. Genes that control the synthesis of the corresponding enzymes are called metabolism genes. The association of polymorphic gene variants with different individual sensitivity to drugs leads to the determination of the pathogenesis of the disease itself and the development of an optimal, effective treatment regimen, taking into account the biochemical individuality of the patient, which is the main concept of personalized medicine (1). One of the tasks of personalized medicine (PM) is the search for biomarkers that reflect gene changes, which can be proteins, enzymes, genetic rearrangements, and other substrates. Knowledge of the molecular level of the development of pathology allows finding out the subtle pathogenetic mechanisms of the disease and understanding what happens in a diseased cell, what mechanisms work in it and what can be a target, as well as a biomarker of the disease (2). Determining the genetic characteristics of patients makes it possible to predict the nature of the pharmacological response, which makes it possible to improve the efficacy and safety of the use of drugs (3).

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Keywords

DNA, detoxification genes, gene polymorphisms, drugs, mutations, genotype, PCR amplification.

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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