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Joint Analysis of Phenotypic and Genomic Diversity Sheds Light on the Evolution of Xenobiotic Metabolism in Humans

Variation in genes involved in the absorption, distribution, metabolism, and excretion of drugs (ADME) can influence individual response to a therapeutic treatment. The study of ADME genetic diversity in human populations has led to evolutionary hypotheses of adaptation to distinct chemical environm...

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Autores principales: Mouterde, Médéric, Daali, Youssef, Rollason, Victoria, Čížková, Martina, Mulugeta, Anwar, Al Balushi, Khalid A, Fakis, Giannoulis, Constantinidis, Theodoros C, Al-Thihli, Khalid, Černá, Marie, Makonnen, Eyasu, Boukouvala, Sotiria, Al-Yahyaee, Said, Yimer, Getnet, Černý, Viktor, Desmeules, Jules, Poloni, Estella S
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9750130/
https://www.ncbi.nlm.nih.gov/pubmed/36445690
http://dx.doi.org/10.1093/gbe/evac167
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author Mouterde, Médéric
Daali, Youssef
Rollason, Victoria
Čížková, Martina
Mulugeta, Anwar
Al Balushi, Khalid A
Fakis, Giannoulis
Constantinidis, Theodoros C
Al-Thihli, Khalid
Černá, Marie
Makonnen, Eyasu
Boukouvala, Sotiria
Al-Yahyaee, Said
Yimer, Getnet
Černý, Viktor
Desmeules, Jules
Poloni, Estella S
author_facet Mouterde, Médéric
Daali, Youssef
Rollason, Victoria
Čížková, Martina
Mulugeta, Anwar
Al Balushi, Khalid A
Fakis, Giannoulis
Constantinidis, Theodoros C
Al-Thihli, Khalid
Černá, Marie
Makonnen, Eyasu
Boukouvala, Sotiria
Al-Yahyaee, Said
Yimer, Getnet
Černý, Viktor
Desmeules, Jules
Poloni, Estella S
author_sort Mouterde, Médéric
collection PubMed
description Variation in genes involved in the absorption, distribution, metabolism, and excretion of drugs (ADME) can influence individual response to a therapeutic treatment. The study of ADME genetic diversity in human populations has led to evolutionary hypotheses of adaptation to distinct chemical environments. Population differentiation in measured drug metabolism phenotypes is, however, scarcely documented, often indirectly estimated via genotype-predicted phenotypes. We administered seven probe compounds devised to target six cytochrome P450 enzymes and the P-glycoprotein (P-gp) activity to assess phenotypic variation in four populations along a latitudinal transect spanning over Africa, the Middle East, and Europe (349 healthy Ethiopian, Omani, Greek, and Czech volunteers). We demonstrate significant population differentiation for all phenotypes except the one measuring CYP2D6 activity. Genome-wide association studies (GWAS) evidenced that the variability of phenotypes measuring CYP2B6, CYP2C9, CYP2C19, and CYP2D6 activity was associated with genetic variants linked to the corresponding encoding genes, and additional genes for the latter three. Instead, GWAS did not indicate any association between genetic diversity and the phenotypes measuring CYP1A2, CYP3A4, and P-gp activity. Genome scans of selection highlighted multiple candidate regions, a few of which included ADME genes, but none overlapped with the GWAS candidates. Our results suggest that different mechanisms have been shaping the evolution of these phenotypes, including phenotypic plasticity, and possibly some form of balancing selection. We discuss how these contrasting results highlight the diverse evolutionary trajectories of ADME genes and proteins, consistent with the wide spectrum of both endogenous and exogenous molecules that are their substrates.
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spelling pubmed-97501302022-12-15 Joint Analysis of Phenotypic and Genomic Diversity Sheds Light on the Evolution of Xenobiotic Metabolism in Humans Mouterde, Médéric Daali, Youssef Rollason, Victoria Čížková, Martina Mulugeta, Anwar Al Balushi, Khalid A Fakis, Giannoulis Constantinidis, Theodoros C Al-Thihli, Khalid Černá, Marie Makonnen, Eyasu Boukouvala, Sotiria Al-Yahyaee, Said Yimer, Getnet Černý, Viktor Desmeules, Jules Poloni, Estella S Genome Biol Evol Research Article Variation in genes involved in the absorption, distribution, metabolism, and excretion of drugs (ADME) can influence individual response to a therapeutic treatment. The study of ADME genetic diversity in human populations has led to evolutionary hypotheses of adaptation to distinct chemical environments. Population differentiation in measured drug metabolism phenotypes is, however, scarcely documented, often indirectly estimated via genotype-predicted phenotypes. We administered seven probe compounds devised to target six cytochrome P450 enzymes and the P-glycoprotein (P-gp) activity to assess phenotypic variation in four populations along a latitudinal transect spanning over Africa, the Middle East, and Europe (349 healthy Ethiopian, Omani, Greek, and Czech volunteers). We demonstrate significant population differentiation for all phenotypes except the one measuring CYP2D6 activity. Genome-wide association studies (GWAS) evidenced that the variability of phenotypes measuring CYP2B6, CYP2C9, CYP2C19, and CYP2D6 activity was associated with genetic variants linked to the corresponding encoding genes, and additional genes for the latter three. Instead, GWAS did not indicate any association between genetic diversity and the phenotypes measuring CYP1A2, CYP3A4, and P-gp activity. Genome scans of selection highlighted multiple candidate regions, a few of which included ADME genes, but none overlapped with the GWAS candidates. Our results suggest that different mechanisms have been shaping the evolution of these phenotypes, including phenotypic plasticity, and possibly some form of balancing selection. We discuss how these contrasting results highlight the diverse evolutionary trajectories of ADME genes and proteins, consistent with the wide spectrum of both endogenous and exogenous molecules that are their substrates. Oxford University Press 2022-11-29 /pmc/articles/PMC9750130/ /pubmed/36445690 http://dx.doi.org/10.1093/gbe/evac167 Text en © The Author(s) 2022. Published by Oxford University Press on behalf of Society for Molecular Biology and Evolution. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Mouterde, Médéric
Daali, Youssef
Rollason, Victoria
Čížková, Martina
Mulugeta, Anwar
Al Balushi, Khalid A
Fakis, Giannoulis
Constantinidis, Theodoros C
Al-Thihli, Khalid
Černá, Marie
Makonnen, Eyasu
Boukouvala, Sotiria
Al-Yahyaee, Said
Yimer, Getnet
Černý, Viktor
Desmeules, Jules
Poloni, Estella S
Joint Analysis of Phenotypic and Genomic Diversity Sheds Light on the Evolution of Xenobiotic Metabolism in Humans
title Joint Analysis of Phenotypic and Genomic Diversity Sheds Light on the Evolution of Xenobiotic Metabolism in Humans
title_full Joint Analysis of Phenotypic and Genomic Diversity Sheds Light on the Evolution of Xenobiotic Metabolism in Humans
title_fullStr Joint Analysis of Phenotypic and Genomic Diversity Sheds Light on the Evolution of Xenobiotic Metabolism in Humans
title_full_unstemmed Joint Analysis of Phenotypic and Genomic Diversity Sheds Light on the Evolution of Xenobiotic Metabolism in Humans
title_short Joint Analysis of Phenotypic and Genomic Diversity Sheds Light on the Evolution of Xenobiotic Metabolism in Humans
title_sort joint analysis of phenotypic and genomic diversity sheds light on the evolution of xenobiotic metabolism in humans
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9750130/
https://www.ncbi.nlm.nih.gov/pubmed/36445690
http://dx.doi.org/10.1093/gbe/evac167
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