Role of Pharmacogenetics in Adverse Drug Reactions: An Update towards Personalized Medicine.

adverse drug reaction brugada syndrome diabetes genetic test long QT syndrome personalized medicine proarrhythmia seizure

Journal

Frontiers in pharmacology
ISSN: 1663-9812
Titre abrégé: Front Pharmacol
Pays: Switzerland
ID NLM: 101548923

Informations de publication

Date de publication:
2021
Historique:
received: 10 01 2021
accepted: 29 03 2021
entrez: 17 5 2021
pubmed: 18 5 2021
medline: 18 5 2021
Statut: epublish

Résumé

Adverse drug reactions (ADRs) are an important and frequent cause of morbidity and mortality. ADR can be related to a variety of drugs, including anticonvulsants, anaesthetics, antibiotics, antiretroviral, anticancer, and antiarrhythmics, and can involve every organ or apparatus. The causes of ADRs are still poorly understood due to their clinical heterogeneity and complexity. In this scenario, genetic predisposition toward ADRs is an emerging issue, not only in anticancer chemotherapy, but also in many other fields of medicine, including hemolytic anemia due to glucose-6-phosphate dehydrogenase (G6PD) deficiency, aplastic anemia, porphyria, malignant hyperthermia, epidermal tissue necrosis (Lyell's Syndrome and Stevens-Johnson Syndrome), epilepsy, thyroid diseases, diabetes, Long QT and Brugada Syndromes. The role of genetic mutations in the ADRs pathogenesis has been shown either for dose-dependent or for dose-independent reactions. In this review, we present an update of the genetic background of ADRs, with phenotypic manifestations involving blood, muscles, heart, thyroid, liver, and skin disorders. This review aims to illustrate the growing usefulness of genetics both to prevent ADRs and to optimize the safe therapeutic use of many common drugs. In this prospective, ADRs could become an untoward "stress test," leading to new diagnosis of genetic-determined diseases. Thus, the wider use of pharmacogenetic testing in the work-up of ADRs will lead to new clinical diagnosis of previously unsuspected diseases and to improved safety and efficacy of therapies. Improving the genotype-phenotype correlation through new lab techniques and implementation of artificial intelligence in the future may lead to personalized medicine, able to predict ADR and consequently to choose the appropriate compound and dosage for each patient.

Identifiants

pubmed: 33995067
doi: 10.3389/fphar.2021.651720
pii: 651720
pmc: PMC8120428
doi:

Types de publication

Journal Article Review

Langues

eng

Pagination

651720

Informations de copyright

Copyright © 2021 Micaglio, Locati, Monasky, Romani, Heilbron and Pappone.

Déclaration de conflit d'intérêts

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

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Auteurs

Emanuele Micaglio (E)

Arrhythmology and Electrophysiology Department, IRCCS Policlinico San Donato, Milan, Italy.

Emanuela T Locati (ET)

Arrhythmology and Electrophysiology Department, IRCCS Policlinico San Donato, Milan, Italy.

Michelle M Monasky (MM)

Arrhythmology and Electrophysiology Department, IRCCS Policlinico San Donato, Milan, Italy.

Federico Romani (F)

Arrhythmology and Electrophysiology Department, IRCCS Policlinico San Donato, Milan, Italy.
Vita-Salute San Raffaele University, (Vita-Salute University) for Federico Romani, Milan, Italy.

Francesca Heilbron (F)

Milano Bicocca University, Istituto Auxologico, Milan, Italy.

Carlo Pappone (C)

Arrhythmology and Electrophysiology Department, IRCCS Policlinico San Donato, Milan, Italy.
Vita-Salute San Raffaele University, (Vita-Salute University) for Federico Romani, Milan, Italy.

Classifications MeSH