| Literature DB >> 34322158 |
Immaculate M Langmia1, Katja S Just1, Sabrina Yamoune1, Jürgen Brockmöller2, Collen Masimirembwa3, Julia C Stingl1.
Abstract
Adverse drug reactions (ADRs) are one of the major causes of morbidity and mortality worldwide. It is well-known that individual genetic make-up is one of the causative factors of ADRs. Approximately 14 million single nucleotide polymorphisms (SNPs) are distributed throughout the entire human genome and every patient has a distinct genetic make-up which influences their response to drug therapy. Cytochrome P450 2B6 (CYP2B6) is involved in the metabolism of antiretroviral, antimalarial, anticancer, and antidepressant drugs. These drug classes are commonly in use worldwide and face specific population variability in side effects and dosing. Parts of this variability may be caused by single nucleotide polymorphisms (SNPs) in the CYP2B6 gene that are associated with altered protein expression and catalytic function. Population variability in the CYP2B6 gene leads to changes in drug metabolism which may result in adverse drug reactions or therapeutic failure. So far more than 30 non-synonymous variants in CYP2B6 gene have been reported. The occurrence of these variants show intra and interpopulation variability, thus affecting drug efficacy at individual and population level. Differences in disease conditions and affordability of drug therapy further explain why some individuals or populations are more exposed to CYP2B6 pharmacogenomics associated ADRs than others. Variabilities in drug efficacy associated with the pharmacogenomics of CYP2B6 have been reported in various populations. The aim of this review is to highlight reports from various ethnicities that emphasize on the relationship between CYP2B6 pharmacogenomics variability and the occurrence of adverse drug reactions. In vitro and in vivo studies evaluating the catalytic activity of CYP2B6 variants using various substrates will also be discussed. While implementation of pharmacogenomic testing for personalized drug therapy has made big progress, less data on pharmacogenetics of drug safety has been gained in terms of CYP2B6 substrates. Therefore, reviewing the existing evidence on population variability in CYP2B6 and ADR risk profiles suggests that, in addition to other factors, the knowledge on pharmacogenomics of CYP2B6 in patient treatment may be useful for the development of personalized medicine with regards to genotype-based prescription.Entities:
Keywords: adverse drug reaction; cytochrome P450 2B6; drug metabolism; drug safety; genetic polymorphism; personalized medicine; pharmacogenetics; pharmacogenomics
Year: 2021 PMID: 34322158 PMCID: PMC8313315 DOI: 10.3389/fgene.2021.692234
Source DB: PubMed Journal: Front Genet ISSN: 1664-8021 Impact factor: 4.599
Drug substrates known for metabolism by the CYP2B6 enzyme.
| Antiretroviral | Efavirenz | 8-hydroxylation (major reaction) | CYP3A4, 3A5, 1A2, 2A6 | Patel and Patel, |
| Nevirapine | Hydroxylation (major reaction) | CYP3A4 3A5, 2C9, 2D6 | Giardina et al., | |
| Antimalarial | Artemether | Demethylation (minor reaction) | CYP3A4, 3A5 | Agency, |
| Artemisinin | Unknown (major reaction) | CYP3A4 | Agency, | |
| Anticancer | Cyclophosphamide | 4-hydroxylation (major reaction) N-dechloroethylation (minor reaction) | CY2C19, 3A4, 2E1 | Stingl et al., |
| Ifosfamide | 4-hydroxylation N-dechloroethylation (major reaction) | CYP3A4, 2C9, 2C19, 2C8 | Stingl et al., | |
| Tamoxifen | 4-hydroxylated (minor reaction) | CYP2D6, 3A4, 2C9, 2C19 | Weinshilboum, | |
| Antidepressants | Bupropion | Hydroxylation (major reaction) | CYP3A4, CYP2D6, | Lynch and Price, |
| Esketamine | N-demethylation (major reaction) | CYP3A4, 2C9, 2C19 | Lonsdale et al., | |
| Vortioxetine | Hydroxylation (minor reaction) | CYP2D6, 3A4/5, 2C19, 2C9, 2A6, 2C8 | Thorn et al., | |
| Amitriptyline | N-demethylation (minor reaction) | CYP2C9, 2C19, 1A2, 3A4, 2D6, 2B6, 2C8 | Desta et al., | |
| Fluoxetine | N-demethylation (minor reaction) | CYP2D6, 2C9, 3A4 | Rendic, | |
| Mianserin | N-demethylation (minor reaction) | CYP3A4, 2C19, 1A2 | Hanna et al., | |
| Sertraline | N-demethylation (minor reaction) | CYP3A4, 2C19, 2D6, 2C9 | Zanger et al., | |
| Anticonvulsants | Phenytoin | Oxidation (minor reaction) | CYP1A2, 2A6, 2C19, 2C8, 2C9, 2D6, 2E1, CYP3A4 | Kharasch and Greenblatt, |
| S-mephenytoin | N-demethylation (minor reaction) | CYP2C9, 2C19 | Chaivichacharn et al., | |
| Carbamazepine | 3-hydroxylation (minor reaction) | CYP3A4, CYP2C8, CYP3A5 | Bank et al., | |
| Valproic acid | 4, 5-hydroxylation (minor reaction) | CYP2C9, 2A6, 3A5 | Kim et al., | |
| Anxiolytics, anticonvulsants | Diazepam | N-demethylation (minor reaction) | CYP2C19, 3A4, 3A5, 2C9 | Bielinski et al., |
| Clotiazepam | N-demethylation (minor) reaction | CYP3A4, 2C18, 2C19, | Dolgin, | |
| Clobazam | N-demethylation (minor reaction) | CYP3A4, 2C19 | Drozda et al., | |
| Temazepam | N-demethylation (minor reaction) | CYP2C19, 3A4 | Bielinski et al., | |
| Anesthetics | Kitamine | N-demethylation (major reaction) | CYP3A4, 2C9 | Lonsdale et al., |
| Propofol | 4-hydroxylation (major reaction) | CYP2C9 | Hesse et al., | |
| Opioid | Methadone | N-demethylation (major reaction) | CYP3A4, 2C19, 2C9, 2C8, 2D6, | Ekins et al., |
| MAOI | Selegiline | N-demethylation (major reaction) | CYP2C19, 3A4, 1A2, 2D6, 2C9 | Wang et al., |
| Antiplatelet | Clopidogrel | Oxidation (minor reaction) | CYP1A2, 2B6, 2C19, 2C9, 3A4 | Lee et al., |
| Smoking cessation agent | Nicotine | N-demethylation (minor reaction) | CYP2A6, 3A4 | Aitken and Morgan, |
| Analgesics | Tramadol | N-demethylation (minor reaction) | CYP2D6, 3A4, | Faucette et al., |
| Diclofenac | 5-hydroxylation (minor reaction) | CYP2C8, 2C19, 2C9 | Pearce et al., | |
| Gastro-intestinals | Loperamide | N-demethylation (minor reaction) | CYP219, 3A4, 2D6, 2C8, | Lewis and Lake, |
| Steriod | Testosterone | Hydroxylation (minor reaction) | CYP3A4, 2C9, 2C19 | Ekins et al., |
| Anticoagulant | Coumarin | Aromatic hydroxylation (minor reaction) | CYP2A6, 1A1, 1A2, 3A4 | Xie et al., |
| SERM | Ospemifene | Hydroxylation (minor reaction) | CYP3A4, 2C9, 2C19, | Hidestrand et al., |
According to the drug Bank (.
CYP2B6 is either the major enzyme or the minor enzyme in the biotransformation of the drug. The type of metabolic reaction according to the information from Pharmacogenomics Knowledge base (PharmGKB) website, drug bank and online literature.
Other cytochromes that are involve in the metabolism of the drug, taken from PharmGKB website, drug bank and online literature.
SERM, Selective estrogen receptor modulators.
MAOI, Monoamine oxidase inhibitors.
Selected studies revealing variability in allele frequency of CYP2B6 alleles in different ethnicities.
| German | 430 | 5.3 | 4 | 32.1 | 28.6 | Giardina et al., |
| Spaniard | 360 | - | 6.2 | 21.5 | 1.4 | Agency, |
| Swiss | 226 | 3.9 | 24.8 | 26 | Giardina et al., | |
| British | 270 | 3.7 | 2.2 | 28.15 | 28.6 | Stingl et al., |
| Ukraine | 102 | - | - | _ | 25 | Weinshilboum, |
| Turkish | 344 | - | 6.4 | 25.3 | 2 | Giardina et al., |
| - | - | - | ||||
| West Africa | 153 | 4 | 42 | - | 50 | Evans and Relling, |
| Congo | 418 | - | - | - | 55 | Lynch and Price, |
| Ghana | 800 | - | - | - | 48 | Zanger and Schwab, |
| Botswana | 570 | - | - | 22 | Nebert et al., | |
| Mozambique | 360 | 5.7 | 41 | - | 42.6 | Lonsdale et al., |
| Nigeria (Hausa) | 100 | - | - | 42 | - | Thorn et al., |
| Nigeria (Igbo) | 100 | - | - | 38 | - | Thorn et al., |
| Nigeria (Yoruba) | 100 | - | - | 42 | - | Thorn et al., |
| Tanzania | 256 | - | - | - | 36 | Desta et al., |
| Ethiopia | 285 | - | - | - | 31.4 | Rendic, |
| Kenya (Kikuyu) | 102 | - | - | 34 | - | Thorn et al., |
| Kenya (Luo) | 100 | - | - | 37 | - | Thorn et al., |
| Kenya (Maasai) | 152 | - | - | 35 | - | Thorn et al., |
| Zimbabwe (San) | 64 | - | - | 40 | - | Thorn et al., |
| Zimbabwe (Shona) | 100 | - | - | 38 | - | Thorn et al., |
| Cameroon | 75 | - | - | - | 37 | Hanna et al., |
| South Africa | 163 | - | - | - | 36 | Hanna et al., |
| South Africa (Venda) | 81 | - | - | 36 | Thorn et al., | |
| South Africa (Xhosa) | 109 | - | - | - | 20 | Zanger et al., |
| South Africa (MA) | 67 | - | - | - | 23 | Zanger et al., |
| Uganda Bantus | 58 | - | - | 25.9 | - | Sarfo et al., |
| - | - | - | ||||
| Thai | 100 | 6 | 3.6 | - | 32 | Kharasch and Greenblatt, |
| Chinese | 567 | 2.8 | 3.2 | - | 25.9 | Chaivichacharn et al., |
| Japanese | 530 | 4.7 | 9.3 | 16.4 | - | Bank et al., |
| Han Chinese | 386 | 9.1 | 18.4 | 1.8 | Giardina et al., | |
| Malaysian Malay | 196 | 0.8 | 7.6 | 25.4 | 4.6 | Kim et al., |
| Malaysian Chinese | 165 | 1.3 | 6.4 | 13.9 | 10.2 | Kim et al., |
| Malaysian Indian | 63 | 4.1 | 9.9 | 18.5 | 5.9 | Kim et al., |
| South Indians | 135 | - | - | - | 44 | Bielinski et al., |
| Koreans | 374 | - | - | 16.4 | - | Dolgin, |
| Indonesia (Timorian) | 109 | - | 56.8 | 41.7 | 46.9 | Drozda et al., |
| Taiwanese | 68 | - | 11.8 | 16.2 | 0 | Hesse et al., |
| Mongolian | 200 | - | 9 | 21 | - | Ekins et al., |
| Papa New Guinea | 172 | 0 | 0 | 65 | 0 | Lang et al., |
| - | - | - | - | |||
| Columbian Mestizo | 250 | 4.4 | 15.2 | 18 | 14.4 | Wang et al., |
| Central American Mestizo | 362 | - | 7.3 | 23.1 | 2.3 | Wang et al., |
| Chilean Mestizo | 438 | - | - | 35 | - | Wang et al., |
| Hispanic–American | 77 | 3 | 35 | - | 37 | Evans and Relling, |
| African American | 85 | 2 | 37 | - | 36 | Evans and Relling, |
In the manuscript, it is referred to as CYP2B6*6 but according to the Pharmacogene Variation Consortium (Pharmvar) website it should be CYP2B6*9, CYP2B6*6 is a combination of CYP2B6*4 & CYP2B6*9. (-) Allele not verified.
CYP2B6 polymorphisms and adverse drug reactions reported amongst patients in various ethnicities.
| Efavirenz | HIV/TB | 185 | CYP2B6*6/*6 | ↓ Activity | Higher exposure | 45 | Zimbabwe | Central nervous system adverse events(CNS) including insomnia, severe headaches, vivid nightmares, drowsiness, ataxia, dystonia and dizziness. | Patel and Patel, |
| HIV, TB-HIV co-infected patient | 353 | CYP2B6 516TT | ↓ Activity | Higher exposure | 31.6 | Ethiopians | Anti-retroviral and anti-tuberculosis drug induced liver injury in TB-HIV co-infected patients. | Agency, | |
| HIV | 285 | CYP2B6 516TT | ↓ Activity | Higher exposure | 31 | Ethiopians | Higher risk of drug induced liver injury!!break (DILI) | Agency, | |
| HIV | 800 | CYP2B6 516TT | ↓ Activity | Higher exposure | 48 | Ghanaian | Neuropsychiatric toxicity | Stingl et al., | |
| HIV | 134 | CYP2B6*6/*6 | ↓ Activity | Higher exposure | 8.2 | Thai | Increase risk of hepatotoxicity | Weinshilboum, | |
| HIV/AIDS | 1,147 | CYP2B6 G516TT | ↓ Activity | Higher exposure | 38, 21.9 | Mixed population European American, African American, Hispanics | Central nervous system toxicity | Zanger and Schwab, | |
| HIV/AIDS | 373 | CYP2B6 516TT | ↓ Activity | Higher exposure | 30, 37 | Mixed population (Black & White) | Central nervous system related effects!!break and 131 patients withdrew from therapy within the first 3 months | Nebert et al., | |
| HIV | 197 | CYP2B6 516TT | ↓ Activity | Higher exposure | 30 | Ugandans | Neuropsychiatric symptoms. High incidence of vivid dream, sleepwalking, insomnia and tactile hallucination | Thorn et al., | |
| HIV/TB patients | 473 | CYP2B6 516GT!!break CYP2B6 516TT | ↓ Activity | Higher exposure | 35.5 | Tanzanians | Development of efavirenz based HAART liver injury | Agency, | |
| HIV adults | 142 | CYP2B6 516GT!!break CYP2B6 516TT | ↓ Activity | Higher exposure | 32 | South Africans | High efavirenz level associated with severed sleep disturbance | Rendic, | |
| HIV | 80 | CYP2B6 516GT!!break CYP2B 516TT | ↓ Activity | Higher exposure | 43 | South!!break Africans | Higher EFV concentration and early neuropsychiatric side effects (presence of hallucinations or psychotic episodes) | Hanna et al., | |
| HIV | 191 | CYP2B6 516GT, CYP2B6 516TT | ↓ Activity | Higher exposure | 49 | Mixed population (Caucasian 162, African 23, Asiantic four, others two) | CNS related symptoms such as disturbances in consciousness, mood disorders, headaches, sleep disturbances, cognitive and attention disturbances, eating disturbances and dizziness | Zanger et al., | |
| HIV/AIDS | 1330 | CYP2B 516GT/TT | ↓ Activity | Higher exposure | 77, 25 | Mixed population African ancestry (372), European ancestry (958) | Increase in cholesterol levels, Increased risk of neurotoxicity, CNS depression and neuropsychiatric disorders, Increased risk of fatigue and sleep disorder and Increased risk of hepatotoxicity and drug-induced liver injury | Sarfo et al., | |
| HIV | 32/90 | CYP2B6 516TT | ↓ Activity | Higher exposure | 32 | Mixed population | Increased likelihood of central nervous system disease | Kharasch and Greenblatt, | |
| HIV | 235 | CYP2B6 516TT | ↓ Activity | Higher exposure | 26 | Swiss | Neuropsychological toxicity | Chaivichacharn et al., | |
| HIV patients | 105 | CYP2B6*1/*18, CYP2B6*18/*18 | ↓ Activity | Higher exposure | 5.1 | Mozambicans | Associated with severe cutaneous!!break adverse event such as Steven-Johnson syndrome and toxic epidermal necrolysis | Bank et al., | |
| Nevirapine | HIV | 672 | CYP2B6*18 | ↓ Activity | Higher exposure | 18 | Malawians!!break Ugandans | Hypersensitivity such as nevirapine induced-Stevens–Johnson syndrome (SJS) | Kim et al., |
| HIV | 105 | CYP2B6 516TT!!break CYP2B6 983CC | ↓ Activity | Higher exposure | 55.6!!break 18.5 | Mozambicans | Patients with Nevirapine-induced SJS/toxic epidermal necrolysis (TEN) | Bank et al., | |
| Cyclophosphamide | non-Hodgkin's lymphoma | 567 | CYP2B6 516TT!!break CYP2B6 785AG (*4) | ↓ Activity | Reduce exposure to 4-hydroxycy-cyclophosphamide | 25.9!!break 32 | Chinese | Lower risk of grade 2–4 toxicities and!!break poor treatment outcome | Bielinski et al., |
| Breast Cancer | 230 | CYP2B6*2 CYP2B6*4!!break CYP2B6*5!!break CYP2B6*9 | ↑ Activity | High exposure | 227!!break 15!!break 30 | Mixed population (European 97, South Asian 2, East Asian <1) | Leucopenia and neutropenia associated with dose delay | Hesse et al., | |
| Breast cancer | Case report | CYP2B6*7 | ↑ Activity | Higher exposure to 4-hydroxycy-cyclophosphamide | 18.4 | Han Chinese | Severe and prolonged hepatotoxicity | Ekins et al., | |
| Chronic lymphocytic leukemia (CLL) | 428 | CYP2B6*1/*6!!break CYP2B6*6/*6 | ↓ Activity | Reduced exposure | 22 | UK clinical trial | Decrease risk of drug toxicity. Toxicity included neutropenia, thrombocytopenia, anemia, mucositis, and alopecia | Lang et al., | |
| Leukemia patients on stem cell transplant | 107 | CYP2B6*4!!break CYP2B6*2!!break CYP2B6*6 (donor GG genotype) | ↑ activity | Higher exposure | 53!!break 16, 50 | Mixed population | Oral mucositis, (*4), hemorrhagic cystitis (*2),Veno-occlusive disease of the!!break liver (*6), | Wang et al., | |
| Methadone | Breast cancer | 166 | CYP2B6 516GT,!!break CYP2B6516TT | ↓ Activity | High exposure | 27 | Brazilian | High risk of severe levels of asthenia and arthralgia | Ekins et al., |
| Fatalities cases due to methadone | 380 | CYP2B6*9 CYP2B6*5 | ↓ Activity | High exposure | 27 | Caucasians | Methadone fatalities | Lee et al., | |
| Opioid dependent males | 148 | CYP2B6*6 | ↓ Activity | High exposure | 25.4 | Malays | Lower pain threshold, increase severity of pain | Lee et al., |
↓, Decrease; ↑, Increase.