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Pharmacogenomics of Antiretrovirals

Authors: Bernardino Roca;

Pharmacogenomics of Antiretrovirals

Abstract

HIV infection is a serious but treatable disease, yet current treatment is limited by development of resistance and high rates of adverse drug reactions. Antiretroviral therapy is especially suitable for pharmacogenomic investigation as both drug exposure and treatment response can be reliably measured. Increasing knowledge about genes implicated in pharmacokinetics, mode of action, efficacy, and toxicity of drugs has already provided relevant results for clinical practice, for example: The strong association of the abacavir hypersensitivity reaction with HLA-B*5701 permits testing patients for the allele, and if present avoiding the drug and therefore preventing the reaction. Persons with the allele CYP2B6*6 present higher efavirenz "area under the curve" and have increased risk of neuropsychological toxicity. Additional gene variants are being discovered that influence the action of antiretroviral drugs. And, moreover, it is expected that larger-scale comprehensive genome approaches will profoundly improve the landscape of knowledge of HIV therapy in the future. The present article shows some recent patents related to the treatment of viral infections.

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Keywords

Cyclopropanes, Atazanavir Sulfate, Dideoxynucleosides, Benzoxazines, Drug Hypersensitivity, Cytochrome P-450 CYP2B6, Anti-Retroviral Agents, Central Nervous System Diseases, HLA Antigens, Pharmacogenetics, Alkynes, Drug Resistance, Viral, Humans, Genetic Predisposition to Disease, Aryl Hydrocarbon Hydroxylases, Genetic Testing, Nevirapine, Glucuronosyltransferase, Oligopeptides, Dyslipidemias, Hyperbilirubinemia

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
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.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
7
Average
Average
Average
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