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1.
J Pharm Biomed Anal ; 224: 115154, 2023 Feb 05.
Article in English | MEDLINE | ID: mdl-36442458

ABSTRACT

Tacrine was the first drug used in the therapy of Alzheimer's disease (AD) and is one of the leading structures frequently pursued in the drug discovery of novel candidates for tackling AD. However, because tacrine has been withdrawn from the market due to its hepatotoxicity, ascribed to specific metabolites, concerns are high about the toxicity profile of newly developed compounds related to tacrine. From the point of view of drug safety, the formation of metabolites must be uncovered and analyzed. Bearing in mind that the main culprit of tacrine hepatotoxicity is its biotransformation to hydroxylated metabolites, human liver microsomes were used as a biotransformation model. Our study aims to clarify phase I metabolites of three potentially non-toxic tacrine derivatives (7-methoxytacrine, 6-chlorotacrine, 7-phenoxytacrine) and to semi-quantitatively determine the relative amount of individual metabolites as potential culprits of tacrine-based hepatotoxicity. For this purpose, a new selective UHPLC-Orbitrap method has been developed. Applying UHPLC-Orbitrap method, two as yet unpublished tacrine and 7-methoxytacrine monohydroxylated metabolites have been found and completely characterized, and the separation of ten dihydroxylated tacrine and 7-methoxytacrine metabolites was achieved for the first time. Moreover, the structures of several new metabolites of 7-phenoxytacrine and 6-chlorotacrine have been identified. In addition, the relative amount of these newly observed metabolites was determined. Based on the results and known facts about the toxicity of tacrine metabolites published so far, it appears that 7-phenoxytacrine and 6-chlorotacrine could be substantially less hepatotoxic compared to tacrine, and could potentially pave the way for metabolically safe molecules applicable in AD therapy.


Subject(s)
Alzheimer Disease , Chemical and Drug Induced Liver Injury , Humans , Tacrine , Alzheimer Disease/drug therapy , Alzheimer Disease/metabolism , Chromatography, High Pressure Liquid , Microsomes, Liver/metabolism , Chemical and Drug Induced Liver Injury/metabolism , Cholinesterase Inhibitors/chemistry
2.
Clin Pharmacol Ther ; 102(4): 688-700, 2017 Oct.
Article in English | MEDLINE | ID: mdl-28378927

ABSTRACT

Genetic polymorphisms in cytochrome P450 (CYP) genes can result in altered metabolic activity toward a plethora of clinically important medications. Thus, single nucleotide variants and copy number variations in CYP genes are major determinants of drug pharmacokinetics and toxicity and constitute pharmacogenetic biomarkers for drug dosing, efficacy, and safety. Strikingly, the distribution of CYP alleles differs considerably between populations with important implications for personalized drug therapy and healthcare programs. To provide a global distribution map of CYP alleles with clinical importance, we integrated whole-genome and exome sequencing data from 56,945 unrelated individuals of five major human populations. By combining this dataset with population-specific linkage information, we derive the frequencies of 176 CYP haplotypes, providing an extensive resource for major genetic determinants of drug metabolism. Furthermore, we aggregated this dataset into spectra of predicted functional variability in the respective populations and discuss the implications for population-adjusted pharmacological treatment strategies.


Subject(s)
Cytochrome P-450 Enzyme System/genetics , DNA Copy Number Variations , Pharmacogenetics , Alleles , Haplotypes , Humans , Polymorphism, Single Nucleotide , Racial Groups/genetics
3.
Clin Pharmacol Ther ; 99(2): 172-85, 2016 Feb.
Article in English | MEDLINE | ID: mdl-26479518

ABSTRACT

This article provides nomenclature recommendations developed by an international workgroup to increase transparency and standardization of pharmacogenetic (PGx) result reporting. Presently, sequence variants identified by PGx tests are described using different nomenclature systems. In addition, PGx analysis may detect different sets of variants for each gene, which can affect interpretation of results. This practice has caused confusion and may thereby impede the adoption of clinical PGx testing. Standardization is critical to move PGx forward.


Subject(s)
Alleles , Genetic Testing/standards , Pharmacogenetics/standards , Terminology as Topic , Genes , Genetic Testing/trends , Genetic Variation , Humans , Pharmacogenetics/trends , Precision Medicine
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