| Literature DB >> 32864162 |
Takuto Takahashi1,2, Jasmine A Luzum3, Melanie R Nicol1, Pamala A Jacobson1.
Abstract
A new global pandemic of coronavirus disease 2019 (COVID-19) has resulted in high mortality and morbidity. Currently numerous drugs are under expedited investigations without well-established safety or efficacy data. Pharmacogenomics may allow individualization of these drugs thereby improving efficacy and safety. In this review, we summarized the pharmacogenomic literature available for COVID-19 drug therapies including hydroxychloroquine, chloroquine, azithromycin, remdesivir, favipiravir, ribavirin, lopinavir/ritonavir, darunavir/cobicistat, interferon beta-1b, tocilizumab, ruxolitinib, baricitinib, and corticosteroids. We searched PubMed, reviewed the Pharmacogenomics Knowledgebase (PharmGKB®) website, Clinical Pharmacogenetics Implementation Consortium (CPIC) guidelines, the U.S. Food and Drug Administration (FDA) pharmacogenomics information in the product labeling, and the FDA pharmacogenomics association table. We found several drug-gene variant pairs that may alter the pharmacokinetics of hydroxychloroquine/chloroquine (CYP2C8, CYP2D6, SLCO1A2, and SLCO1B1); azithromycin (ABCB1); ribavirin (SLC29A1, SLC28A2, and SLC28A3); and lopinavir/ritonavir (SLCO1B1, ABCC2, CYP3A). We also identified other variants, that are associated with adverse effects, most notable in hydroxychloroquine/chloroquine (G6PD; hemolysis), ribavirin (ITPA; hemolysis), and interferon β -1b (IRF6; liver toxicity). We also describe the complexity of the risk for QT prolongation in this setting because of additive effects of combining more than one QT-prolonging drug (i.e., hydroxychloroquine/chloroquine and azithromycin), increased concentrations of the drugs due to genetic variants, along with the risk of also combining therapy with potent inhibitors. In conclusion, although direct evidence in COVID-19 patients is lacking, we identified potential actionable genetic markers in COVID-19 therapies. Clinical studies in COVID-19 patients are deemed warranted to assess potential roles of these markers.Entities:
Keywords: Genetic markers; Viral infection
Year: 2020 PMID: 32864162 PMCID: PMC7435176 DOI: 10.1038/s41525-020-00143-y
Source DB: PubMed Journal: NPJ Genom Med ISSN: 2056-7944 Impact factor: 8.617
Pharmacogenomics review on potential COVID-19 antivirals and immune-based therapy.
| Drug | ClinicalTrials.gov (# of trials as of 6/4/2020)a | FDA label/PGxb | PharmGKB: Clinical annotations (Level of evidence: Effects)c | Other reported genes | Metabolism/transporter | Adverse effects |
|---|---|---|---|---|---|---|
| Hydroxychloroquine, chloroquine | 175 | 1) 2) 3) | Metabolism via CYP2C8, CYP3A4, CYP2D6. Influx cellular transport via SLCO. | Hemolytic anemia, cardiomyopathy, neutropenia, GI disturbances, retinopathy, rash, QT prolongation | ||
| Azithromycin | 60 | −/− | – | Efflux transport via P-glycoprotein. | QT prolongation, CV events | |
| Remdesivir | 12 | Not approved in US | – | – | Potential inactivation via CYP2C8, CYP2D6, and CYP3A4 | None noted (similar to placebo in severe COVID patients) |
| Favipiravir | 19 | Not approved in US | – | – | Inactivation mainly via aldehyde oxidase and partly via xanthine oxidase. | Increased uric acid |
| Ribavirin | 2 | −/− | 1) | Intestinal uptake via CNTs (encoded by | Hemolytic anemia | |
| Lopinavir/ritonavir | 34 | −/− | 1) 2) | Inactivation via CYP3A4 | QT prolongation, CV events, dyslipidemia, liver injury, GI disturbances | |
| Darunavir/cobicistat | 1 | −/− | – | Inactivation via CYP3A4 | Liver injury, dyslipidemia, sulfonamide allergy | |
| Interferon beta-1b | 4 | −/− | Various SNPs (3: Efficacy in multiple sclerosis) | 1) HLA-DRB1*04, HLA-DRB1*15, rs9272105, rs4961252 (Neutralizing antibody)[ | Limited data on metabolism/transporter pathways | Liver injury, depression, heart failure, leukopenia, flu-like symptoms, and etc. |
| Tocilizumab | 33 | −/− | – | Limited data on metabolism/transporter pathways | Thrombocytopenia, liver injury, neutropenia, rash, hypertension, infection | |
| Ruxolitinib | 13 | −/− | – | – | Inactivation mainly via CYP3A4 and partly via CYP2C9 | Cytopenia, dyslipidemia, infection, liver injury |
| Baricitinib | 11 | −/− | – | – | Efflux transport mainly via OAT3 and partly via BCRP and p-glycoprotein. Inactivation partly via CYP3A4. | Thrombosis, infection, gastrointestinal perforation, cytopenia, dyslipidemia, liver injury |
| Corticosteroids | 23 | −/− | Various SNPs (3: Efficacy/toxicity of various conditions) | Various SNPs (Efficacy/toxicity of various conditions)[ | Inactivation mainly via CYP3A4 and CYP3A5. Efflux transport via P-glycoprotein. | Infection, psychosis, gastritis, glucose fluctuations, osteonecrosis, etc. |
COVID-19 coronavirus disease 2019, CV cardiovascular, FDA the U.S. Food and Drug Administration, GI gastrointestinal, HCQ hydroxychloroquine, HIV human Immunodeficiency virus, IL interleukin, N/A not applicable, PK pharmacokinetics, SNP single nucleotide polymorphism, CNT concentrative nucleoside transporter.
aThe number of interventional trials for COVID-19 registered in ClinicalTrials.gov as of 6/4/2020.
bInformation listed on Table of Pharmacogenomic Biomarkers in Drug Labeling and Table of Pharmacogenetic Associations on FDA website accessed on April 21, 2020.
cOnly included plausible genes involving the index drug when gene-effect data was derived from a multiple drug regimen. Levels of evidence in PharmGKB: 1 = high; 2 = moderate; 3 = low; 4 = preliminary.
dN/A indicates that level of evidence is not available. Gene-effect pairs are reported in PharmGKB Variant Annotations.
Dash (–) indicates no data available.