Cargando…

Comprehensive in vitro and in silico assessments of metabolic capabilities of 24 genomic variants of CYP2C19 using two different substrates

Introduction: Most hepatically cleared drugs are metabolized by cytochromes P450 (CYPs), and Clinical Pharmacogenetics Implementation Consortium (CPIC) guidelines provide curated clinical references for CYPs to apply individual genome data for optimized drug therapy. However, incorporating novel pha...

Descripción completa

Detalles Bibliográficos
Autores principales: Seo, Myung-Eui, Min, Byung-Joo, Heo, Nayoon, Lee, Kye Hwa, Kim, Ju Han
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9877350/
https://www.ncbi.nlm.nih.gov/pubmed/36713839
http://dx.doi.org/10.3389/fphar.2023.1055991
_version_ 1784878348527206400
author Seo, Myung-Eui
Min, Byung-Joo
Heo, Nayoon
Lee, Kye Hwa
Kim, Ju Han
author_facet Seo, Myung-Eui
Min, Byung-Joo
Heo, Nayoon
Lee, Kye Hwa
Kim, Ju Han
author_sort Seo, Myung-Eui
collection PubMed
description Introduction: Most hepatically cleared drugs are metabolized by cytochromes P450 (CYPs), and Clinical Pharmacogenetics Implementation Consortium (CPIC) guidelines provide curated clinical references for CYPs to apply individual genome data for optimized drug therapy. However, incorporating novel pharmacogenetic variants into guidelines takes considerable time. Methods: We comprehensively assessed the drug metabolizing capabilities of CYP2C19 variants discovered through population sequencing of two substrates, S-mephenytoin and omeprazole. Results: Based on established functional assays, 75% (18/24) of the variants not yet described in Pharmacogene Variation (PharmVar) had significantly altered drug metabolizing capabilities. Of them, seven variants with inappreciable protein expression were evaluated as protein damaging by all three in silico prediction algorithms, Sorting intolerant from tolerant (SIFT), Polymorphism Phenotyping v2 (PolyPhen-2), and Combined annotation dependent depletion (CADD). The five variants with decreased metabolic capability (<50%) of wild type for either substrates were evaluated as protein damaging by all three in silico prediction algorithms, except CADD exact score of NM_000769.4:c.593T>C that was 19.68 (<20.0). In the crystal structure of the five polymorphic proteins, each altered residue of all those proteins was observed to affect the key structures of drug binding specificity. We also identified polymorphic proteins indicating different tendencies of metabolic capability between the two substrates (5/24). Discussion: Therefore, we propose a methodology that combines in silico prediction algorithms and functional assays on polymorphic CYPs with multiple substrates to evaluate the changes in the metabolism of all possible genomic variants in CYP genes. The approach would reinforce existing guidelines and provide information for prescribing appropriate medicines for individual patients.
format Online
Article
Text
id pubmed-9877350
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher Frontiers Media S.A.
record_format MEDLINE/PubMed
spelling pubmed-98773502023-01-27 Comprehensive in vitro and in silico assessments of metabolic capabilities of 24 genomic variants of CYP2C19 using two different substrates Seo, Myung-Eui Min, Byung-Joo Heo, Nayoon Lee, Kye Hwa Kim, Ju Han Front Pharmacol Pharmacology Introduction: Most hepatically cleared drugs are metabolized by cytochromes P450 (CYPs), and Clinical Pharmacogenetics Implementation Consortium (CPIC) guidelines provide curated clinical references for CYPs to apply individual genome data for optimized drug therapy. However, incorporating novel pharmacogenetic variants into guidelines takes considerable time. Methods: We comprehensively assessed the drug metabolizing capabilities of CYP2C19 variants discovered through population sequencing of two substrates, S-mephenytoin and omeprazole. Results: Based on established functional assays, 75% (18/24) of the variants not yet described in Pharmacogene Variation (PharmVar) had significantly altered drug metabolizing capabilities. Of them, seven variants with inappreciable protein expression were evaluated as protein damaging by all three in silico prediction algorithms, Sorting intolerant from tolerant (SIFT), Polymorphism Phenotyping v2 (PolyPhen-2), and Combined annotation dependent depletion (CADD). The five variants with decreased metabolic capability (<50%) of wild type for either substrates were evaluated as protein damaging by all three in silico prediction algorithms, except CADD exact score of NM_000769.4:c.593T>C that was 19.68 (<20.0). In the crystal structure of the five polymorphic proteins, each altered residue of all those proteins was observed to affect the key structures of drug binding specificity. We also identified polymorphic proteins indicating different tendencies of metabolic capability between the two substrates (5/24). Discussion: Therefore, we propose a methodology that combines in silico prediction algorithms and functional assays on polymorphic CYPs with multiple substrates to evaluate the changes in the metabolism of all possible genomic variants in CYP genes. The approach would reinforce existing guidelines and provide information for prescribing appropriate medicines for individual patients. Frontiers Media S.A. 2023-01-12 /pmc/articles/PMC9877350/ /pubmed/36713839 http://dx.doi.org/10.3389/fphar.2023.1055991 Text en Copyright © 2023 Seo, Min, Heo, Lee and Kim. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Pharmacology
Seo, Myung-Eui
Min, Byung-Joo
Heo, Nayoon
Lee, Kye Hwa
Kim, Ju Han
Comprehensive in vitro and in silico assessments of metabolic capabilities of 24 genomic variants of CYP2C19 using two different substrates
title Comprehensive in vitro and in silico assessments of metabolic capabilities of 24 genomic variants of CYP2C19 using two different substrates
title_full Comprehensive in vitro and in silico assessments of metabolic capabilities of 24 genomic variants of CYP2C19 using two different substrates
title_fullStr Comprehensive in vitro and in silico assessments of metabolic capabilities of 24 genomic variants of CYP2C19 using two different substrates
title_full_unstemmed Comprehensive in vitro and in silico assessments of metabolic capabilities of 24 genomic variants of CYP2C19 using two different substrates
title_short Comprehensive in vitro and in silico assessments of metabolic capabilities of 24 genomic variants of CYP2C19 using two different substrates
title_sort comprehensive in vitro and in silico assessments of metabolic capabilities of 24 genomic variants of cyp2c19 using two different substrates
topic Pharmacology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9877350/
https://www.ncbi.nlm.nih.gov/pubmed/36713839
http://dx.doi.org/10.3389/fphar.2023.1055991
work_keys_str_mv AT seomyungeui comprehensiveinvitroandinsilicoassessmentsofmetaboliccapabilitiesof24genomicvariantsofcyp2c19usingtwodifferentsubstrates
AT minbyungjoo comprehensiveinvitroandinsilicoassessmentsofmetaboliccapabilitiesof24genomicvariantsofcyp2c19usingtwodifferentsubstrates
AT heonayoon comprehensiveinvitroandinsilicoassessmentsofmetaboliccapabilitiesof24genomicvariantsofcyp2c19usingtwodifferentsubstrates
AT leekyehwa comprehensiveinvitroandinsilicoassessmentsofmetaboliccapabilitiesof24genomicvariantsofcyp2c19usingtwodifferentsubstrates
AT kimjuhan comprehensiveinvitroandinsilicoassessmentsofmetaboliccapabilitiesof24genomicvariantsofcyp2c19usingtwodifferentsubstrates