Open access peer-reviewed chapter

Interindividual Variability of Cytochromes P450 2B Mediated Oxidation in Human Liver

Written By

Abdulmohsen Alrohaimi, Bader Alrohaimi, Nada Alruwais and Kholoud Aldmasi

Submitted: 20 June 2021 Reviewed: 08 July 2021 Published: 08 November 2021

DOI: 10.5772/intechopen.99328

From the Edited Volume

Pharmacogenetics

Edited by Islam A. Khalil

Chapter metrics overview

234 Chapter Downloads

View Full Metrics

Abstract

The cytochromes P450 (CYPs) are a group of enzymes that are primarily responsible for oxidative drug biotransformation in people. CYP2B6, which metabolizes numerous drugs including bupropion, propofol and other drug shows great variability in rates of drug oxidation between individuals. In this chapter we discuss the contribution of selected genetic and environmental factors to this variability. Several studies identified and quantified the most common CYP2B6 mRNA splice such as deletion of exons 4 to 6 and of exon 4 which were significantly and negatively correlated with CYP2B6 protein and enzyme activity. CYP2B6 gene expression is highly inducible by phenobarbital. Alcohol ingestion has been associated with increased CYP2B6 levels this involves the constitutive androstane receptor (CAR) and/or the pregnane X receptor (PXR). CYP2B7 is considered a pseudogene because of the presence of a single premature stop codon (TGA) in exon 7. In 10 out of 24 African-Americans (but none out of 48 European-Americans) there is a single nucleotide polymorphism that results in an arginine codon instead of a stop codon (X378R). The results of these studies identify certain CYP2B6 genetic polymorphisms, mRNA splicing variants, and alcohol ingestion as significant factors that determine interindividual variability of CYP2B-mediated oxidation of drugs in people.

Keywords

  • Cytochromes
  • cytochromes P450
  • CYP2B6
  • CYP2B6 activity
  • drug oxidation

1. Introduction

Large interindividual variability in drug response is more of a rule than an exception. In fact, among patients treated with the same dose of drug, the response varies widely from no response at all to severe side effects. Many factors contribute to this variability, and apart from the role of non-pharmacological aspects, such as psychological and social issues, it mainly results from the interaction of genetic, pathophysiological and environmental factors that lead to interindividual differences in drug pharmacokinetics and pharmocodynamics. Since the discovery of the debrisoquine/sparteine hydroxylation polymorphism in 1970, research has expanded in the study of the interaction between environmental and genetic factors controlling the rate of drug metabolism. Currently, it is well known that cytochrome P450 (CYP) mediated drug metabolism shows large variability, leading to large differences in steady-state plasma concentrations of drugs. This variability is due to interaction of genetics and environmental factors. In addition, concomitant drug administration influences the variabilty of drug response. The main objective of the work described in this thesis dissertation was to study the role of genetic and environmental factors in determining interindividual variability of the CYP2B subfamily.

1.1 CYP enzymes

The cytochrome P450 (CYP) superfamily of enzymes plays a predominant role in the phase I metabolism of xenobiotics, environmental chemicals and endogenous compounds. An overview of the the most common reaction catalyzed by CYP is as follows:

RH+O2+NADPH+H+ROH+NADP++H2OE1

The CYP enzymes are classified into families and subfamilies based on their amino acid sequence similarity. The CYP nomenclature is as follows: “P” stands for “pigment”, “cyto” means “hollow vesicle”, and “chrome” means “color”. “450” is part of the name since the reduced enzyme absorbs light at 450 nm when bound to carbon monoxide. ‘CYP’ represents the CYP family. Members of the same family represented by a number (e.g. CYP2) share at least 40% identical with respect to their amino acid sequences. If the sequences are 40–55% identical, the enzymes belong to the same subfamily, indicated by an additional letter (e.g. CYP2B). Finally, each individual enzyme is represented by an Arabic numeral (e.g. CYP2B6). Three CYP gene families are mainly responsible for drug metabolism in humans and most other mammalian species i.e. CYP1, CYP2, and CYP3. CYP1 have two subfamilies CYP1A (i.e. CYP1A1 and 1A2) and CYP1B. CYP1A1 is mainly extrahepatic while CYP1A2 is a hepatic enzyme. Both are induced by polycyclic aromatic hydrocarbons (PAR), found for example in cigarette smoke and charbroiled meat. CYP1A2 is involved in metabolism of several. CYP2 is the largest family of human CYPs identified to date. In addition, there is 92% nucleotide sequence similarity of CYP2B7P with CYP2B6.

1.2 In vitro models used to study drug biotransformation

Various methods are used to study the metabolic activity of a CYP enzyme in vitro including human liver microsomes, recombinant expressed CYPs, cytosol, S9 fraction, cell lines, transgenic cell lines, primary hepatocytes, liver slices, and perfused liver.

1.2.1 Human liver microsomes

Human liver microsomes are prepared from fresh or frozen liver tissue, and contain different proportions of all CYPs for each donor. Human liver microsomes contain membrane bound Phase I enzymes and Phase II enzymes such as CYPs and UDP glucuronosyltransferases.

1.2.2 Recombinant CYPs

Individual CYPs (including 1A2, 2A6, 2B6, 2C8, 2C9, 2C19, 2D6, 2E1, 3A4, and 3A5) expressed in either lymphoblastoid cells or insect cells are available commercially from BD-Gentest Corporation [1].

1.2.3 Primary hepatocytes

Hepatocytes represent a model for studying biotransformation and drug–drug interactions, such as inhibition and induction [2]. One disadvantage of using hepatocytes is that availability is limited. Once a fresh liver is obtained, the hepatocytes must immediately be plated, used for suspension studies, or cryopreserved for future studies [2].

1.2.4 Liver slices

Liver slices represent one of the earliest in vitro models for metabolism studies, dating back to the earlier part of the 20th century [3].

1.2.5 S9 fraction

The S9 fraction is the fraction of the liver cellscontaining both microsomes and cytosol. It is obtained by centrigation of whole-liver homogenate at 9000 X g [4].

1.2.6 Liver cell lines

Liver cell lines are less popular compared to other models. This is mainly due to their dedifferentiated cellular characteristics and incomplete expression of all families of metabolic enzymes [5].

1.2.7 Bupropion hydroxylation as a CYP2B6 index reaction

If a substrate is biotransformed to one of its metabolites via only one CYP, the pathway is called an index reaction. In this thesis work, conversion of bupropion to hydroxybupropion was used as an index reaction for CYP2B6 based on the evidence as follows. Bupropion is biotransformed to three main metabolites in vivo, including hydroxybupropion, threohydrobupropion, and erythrohydrobupropion. Bupropion is biotransformed to the active metabolite hydroxybupropion mainly via CYP2B6 in vitro [6].

1.3 Factors influencing interindividual variability in CYP2B6 function

On average, CYP2B6 accounts for approximately 1 to 6% of total CYP450 [7, 8]. It was estimated that interindividual variability accounts for a 50-fold difference in CYP2B6 enzyme content [9]. Although CYP2B6 expression is highly variable, it is found at substantial levels in a small percentage of the population [6, 8, 10]. In addition, CYP2B6*6B haplotype and alcohol use history were identified as significant predictors of bupropion hydroxylation. The CYP2B6*6B haplotype was present at an allele frequency of 0.26. These correlations suggest that moderate alcohol consumption (at least 14 drinks of alcohol per week) is associated with enhanced CYP2B6 gene transcription, but the presence of at least one CYP2B6*6B allele reduces this inductive effect.

1.3.1 Genetic polymorphism

Genetic variation in CYPs may affect the biotransformation of drugs metabolized by those CYPs. Variation in a gene could arise from different causes. First, a single nucleotide polymorphism (SNP) is a single nucleotide variation in the genetic sequence. Another type of genetic variation is gene duplication in which a CYP gene is found in multiple copies.

1.3.2 Effect of SNPs on CYP2B6 in vitro

Various laboratories have attempted to correlate CYP2B6 genotype with CYP2B6 phenotype in panels of human liver microsomes. Found novel point mutations in the CYP2B6 coding region: C64T, G516T, C777A, A785G and C1459T, at frequencies of 5.3%, 28.6%, 0.5%, 32.6% and 14.0%, respectively [11]. Furthermore, our laboratory has studied the correlation between several SNPs in the CYP2B6 coding and promoter region (to −3000 base pairs (bp)) verses bupropion hydroxylation activity, CYP2B6protein levels, and CYP2B6 mRNA levels in vitro were measured in a bank of 54 human livers.

Initial analysis showed excellent correlation between bupropion hydroxylation activities and CYP2B6 protein content (Rs = 0.88) but relatively poor correlation between CYP2B6 protein levels and CYP2B6 mRNA levels (Rs = 0.44) (Figure 1A). We did not find any individual genotypesthat significantly correlated with bupropion hydroxylation activity, CYP2B6 protein or mRNA levels, but found that alcohol use history and the CYP2B6*6B haplotype (−1456 t > c, −750 t > c, G516T, A785G [Q172H, K262R], p = 0.011) were significant predictors of bupropion hydroxylation (Figure 1B). The CYP2B6*6B haplotype was present at a frequency of 0.26 [10].

Figure 1.

Data from our laboratory [10] showing relationships between CYP2B6 activities, protein content and mRNA content measured in a bank of 54 human livers (A); as well as effects of alcohol and *6B allele on CYP2B6 activity (B). A study by [12] showed that some CYP2B6 amino acid coding variants expressed in COS-1 cells are associated with higher activity (C).

Jinno et al. [12] expressed CYP2B6 mutants (CYP2B6.2,.3,.4,.5,.6, and 7) in COS-1 cells and found that compared to wild type, CYP2B6.6 (G516T, A785G [Q172H, K262R]) was expressed at a lower protein level, but had significantly higher Km and Vmax values for activity of 7-ethoxy-4-trifluoromethylcoumarinO-deethylation (Figure 1C). Lang et al. identified four novel CYP2B6 alleles as phenotypic null alleles [13].

1.3.3 Effect of SNPs in vivo

When compared single-dose bupropion pharmacokinetics in 121 healthy male German Caucasian volunteers and found a correlation between the presence of the *4 allele (A785G [K262R]) and a higher (1.7-fold) bupropion clearance, although only a minor fraction of the variability in bupropion and hydroxybupropion kinetics could be explained by this variant [14]. Supporting our in vitro results, a clinical study involving efavirenz found that the CYP2B6*6 (G516T, A785G [Q172H, K262R]) genotype correlated with high plasma efavirenz concentrations in HIV-patients treated with standard efavirenz-containing regimens [15].

1.3.4 Ethnic differences in CYP2B6 SNPs

There are ethnic differences in the frequencies of CYP2B6 genotypes that could account for race/ethnic differences in CYP2B6 phenotype. For example, 89 Caucasians and 50 African-Americans who were receiving efavirenz treatment were genotyped for G516T [Q172H] [16].

1.3.5 CYP2B6 inducers

Various CYP2B6 inducers have been identified, including carbamazepine, phenobarbital and related barbiturates, and rifampin [17, 18].

1.4 Mechanisms of CYP induction

Post-transcriptional mechanisms include both mRNA and protein stabilization that may be mediated through transacting regulators or through changes in the phosphorylation status of the enzyme.

1.4.1 Transcriptional regulation

In addition to the induction of CYP1A genes, at least three other nuclear receptors (NRs) can induce transcription of drug metabolizing enzymes. These are the constitutive androstane receptor (CAR), the pregnane X receptor (PXR), and the peroxisome proliferator-activated receptor (PPAR).

1.4.2 Post-transcriptional regulation

Post-transcriptional regulation mechanisms include both mRNA and protein stabilization as well as stimulated of mRNA and protein degradation. These processes can result in an increase or decrease of enzyme expression, respectively. A good example is CYP2E1 that is regulated by several post-transcriptional mechanisms [19, 20].

1.5 Messenger RNA splicing

As seen in Figure 2, splicing is the process that results in excision of the introns from a pre-mRNA and the joining of the resultant exons. The splicing process is directed by special sequences at the intron/exon junctions called splice sites. The 5′ splice site marks the exon/intron junction at the 5′ end of the intron. This includes a GU dinucleotide at the intron end encompassed within a larger, less conserved consensus sequence. At the other end of theintron, the 3′ splice site region has three conserved sequence elements: the branch point, followed by a polypyrimidine tract, followed by a terminal AG at the extreme 3′ end of the intron. Splicing is carried out by the spliceosome, a large macromolecular complex that assembles onto these sequences and catalyzes the two transesterification steps of the splicing reaction. Splicing activators are generally thought to interact with components of the spliceosome to stabilize their binding to adjacent splice sites. SR (splicing regulator) proteins bind to exonic splicing enhancer elements or intronic enhancer elements to stimulate U2AF binding to the upstream 3 splice site, or U1 snRNP binding to the downstream 5′ splice site (Figure 2B).

Figure 2.

Molecular mechanisms involved in mRNA splicing. (A) Splicing takes place in two transesterification steps. The first step results in two reaction intermediates: the detached 5′- exon and an intron/3′-exon fragment in a lariat structure. The second step ligates the two exons and releases the intron lariat. (B) The complex can be converted into the active spliceosome and involves the recognition of the 5′ splice site by U1 snRNP and the branch-point sequence and 3′ splice site by SF1 and U2AF, respectively with the aid of SR proteins.

1.5.1 Alternative mRNA splicing

Alternative pre-mRNA splicing is a central mode of genetic regulation in higher eukaryotes (Figure 3). Alternative splicingplays an extremely important role in expanding protein diversityand might therefore partially explain the apparent discrepancybetween gene number and organism complexity [21]. Approximately 40–60% of human genes are estimatedto have distinct splice variants [22]. The regulation of alternative splicing can involve on/off regulationof the products of particular genes and the production of alternativeproducts with clearly separable functions, often in a cell-type-specificmanner [23].

Figure 3.

Patterns of alternative splicing variation. Putative splice variants were classified according to the basic patterns of alternative splicing. (A) Cassette exon: an exon is spliced out with neighboring introns or included in the mature mRNA. (B) Internal donor site: competing donor (5′) splice sites exist for one acceptor site within an intron. (C) Internal acceptor site: competing acceptor (3′) splice sites exist for one donor site within an intron. (D) Retained intron: an intron is spliced out or included in RNA [20].

1.5.2 Regulation of splicing: SRproteins and regulatory elements

The SR proteins constitute the best-studied family of splicing regulators. The SR proteins have a common domain structure of one or two RNP-cs RNA binding domains followed by what is called an RS domain containing repeated arginine/serine dipeptides.

The RNA regulatory elements are enhancers or suppressors, diverse in sequence, and often embedded within nucleotides that also code for protein (exonic splice enhancers), but also found in introns. In the intron, the IEs and ISs are often found within a polypyrimidine tract or immediately adjacent to the branch point or 5′ splice site.

However, splicing regulatory elements can also act from a distance, being found hundreds of nucleotides away from the regulated exon.

SR proteins and exonic splicing enhancers (ESEs) play an important role in the regulation of alternative splicing. An SR protein binds to an ESE through its RNA-recognition motifs (RRM) and contacts the components of a spliceosome through its RS domain. Errors in splicing regulation have been implicated in a number of different disease states.

1.6 Effect of alcohol on CYP genes

A Chronic exposure to alcohol produces change in gene expression and alcoholics suffer long-term dysfunction in multiple organ systems, including the liver, immune system and heart [24]. Alcohol is likely to be involved in a significant number of adverse drug reactions.

1.6.1 Inductive effects of ethanol in vitro

Alcohol has been shown to induce hepatic drug metabolism [25].

If administered after a chronic period of alcohol consumption, drugs that are metabolized by enzymes induced by alcohol may have significantly altered biotransformation.

It is found that incubation with ethanol and isopentanol resulted in a synergistic induction of CYP2B1/2 activity and protein levels in cultured rat hepatocytes; and an additive to synergistic induction of CYP2H1/2 activity and protein levels in cultured chick hepatocytes [26].

1.6.2 Inductive effects of ethanol in animals in vivo

It is well established that CYP2E1 is induced by alcohol in humans. In vitro and in vivo human clinical studies have shown that CYP2E1 is induced by ethanol [27, 28, 29]. The metabolic ratio of CYP2E1 activity was higher in a group of volunteers that were drinking at least 80 grams of ethanol per day for at least 5 years compared to abstaining alcoholics (for 14 days) and nonalcoholics with liver disease.

In a study subjects drank 40 grams of red wine for a total of four weeks and the metabolic ratio of CYP2E1 activity increased starting after one week of drinking, indicating increased CYP2E1 activity [28]. The ratio continuously increased when measured each week throughout the four-week study.

Brain samples from smoking alcoholics compared to nonsmoking, nondrinking subjects showed increased CYP2B6 protein expression as determined by western blot analysis. In Chapter 3 we use human hepatic and intestinal cell lines to determine whether ethanol can induce CYP2B6 and CYP2B7 mRNA expression; and also explore a role for the nuclear receptor CAR and/or PXR in this induction.

1.6.3 Inhibiting effects of ethanol in vitro

In vitro, concentrations of ethanol (0.1–3%) had inhibitory effects on CYPs 1A1, 1A2, 2A6, 2B6, 2C8, 2C19, 2D6, and 3A4. In human liver microsomes, ethanol inhibits the biotransformation of CYP3A substrates nifedipine, triazolam, and testosterone [30].

1.6.4 Inhibiting effects of ethanol in vivo

There is evidence that an acute dose of alcohol inhibits some human CYPs in vivo. In vitro data may explain the observations that acute ethanol intoxication potentiates the action of barbiturates, while there is increased resistance to the action of some sedatives in sober alcoholics. Ethanol does not appear to inhibit CYP2B6 in vivo in humans since it did not alter pharmacokinetics of bupropion when acutely coadministered with bupropion [31].

1.7 CYP pseudogenes

Pseudogenes are disabled copies of genes that do not produce a functional, full-length copy of a protein. They are of two main types of pseudogenes. Firstly, there are processed pseudogenes. Secondly, there are nonprocessed pseudogenes [32, 33]. With subsequent evolutionary time (generations), these pseudogenes accumulate further coding and noncoding disablements. There are other types of protein-related pseudogenes that are not accounted for in the above classification including semiprocessed pseudogenes.

The extent of the pseudogene population in the human genome is not yet clear. It has been estimated that thereare ~9000 processed and ~ 10,000 nonprocessed pseudogenesin the human genome; [34, 35]. A review of available genomic information indicates that there are many pseudogenes in the CYP family, and it has estimated that there may be more CYP pseudogenes than functional genes within the drug metabolizing enzyme families – CYP 1, 2 and 3 (see Table 1). A focus of the studies described in Chapter 4 of this dissertation is CYP2B7P. CYP2B7P has been identified as a pseudogene due to the presence of a single nucleotide change resulting in a premature stop codon in exon 7 (X378) and predicted truncated protein [36].

CYPsFunctionGenes/pseudogenes
CYP1drug metabolism(3 subfamilies 3 genes 1 pseudogene).
CYP2drug and steroid metabolism(13 subfamilies 16 genes 16 pseudogenes).
CYP3drug metabolism(1 subfamily 4 genes 2 pseudogenes).
CYP4arachidonic acid or fatty acid metabolism(5 subfamilies 11 genes 10 pseudogenes).
CYP5thromboxane A2 synthase(1 subfamily 1gene).
CYP7Abile acid biosynthesis 7-alpha hydroxylase of steroid nucleus(1 subfamily member).
CYP7Bbrain specific form of 7-alpha hydroxylase(1 subfamily member)
CYP8Aprostacyclin synthase(1 subfamily member).
CYP8Bbile acid biosynthesis(1 subfamily member).
CYP11steroid biosynthesis(2 subfamilies 3 genes).
CYP17steroid biosynthesis 17-alpha hydroxylase(1 subfamily 1 gene).
CYP19steroid biosynthesis aromatase forms estrogen(1 subfamily 1 gene).
CYP20Unknown function(1 subfamily 1 gene).
CYP21steroid biosynthesis(1 subfamily 1 gene 1 pseudogene).
CYP24vitamin D degradation(1 subfamily 1 gene).
CYP26Aretinoic acid hydroxylase(1 subfamily member).
CYP26Bprobable retinoic acid hydroxylase(1 subfamily member).
CYP26Cprobabvle retinoic acid hydroxylase(1 subfamily member).
CYP27Abile acid biosynthesis(1 subfamily member).
CYP27Bvitamin D3 1-alpha hydroxylase activates vitamin D3 (1 subfamily member).
CYP27Cunknown function(1 subfamily member).
CYP397 alpha hydroxylation of 24 hydroxy cholesterol(1 subfamily member).
CYP46cholesterol 24-hydroxylase(1 subfamily member).
CYP51cholesterol biosynthesis lanosterol 14-alpha demethylase(1 subfamily 1 gene 3 pseudogenes).

Table 1.

Human CYP genes and pseudogenes.

In Chapter 4 we determine whether CYP2B7P is a polymorphic gene in humans, and whether there are genetic variants that code for a full length CYP2B7 protein, lacking the common stop codon (X378). We also evaluate whether the recombinant full-length variant CYP2B7 (R378) is capable of hydroxylating the CYP2B6 substrate bupropion.

Advertisement

2. Conclusion

The main objective of the work described in this thesis dissertation was to study the role of genetic and environmental factors in determining interindividual variability of the CYP2B subfamily.

The results of these studies identify certain CYP2B6 genetic polymorphisms, mRNA splicing variants, and alcohol ingestion as significant factors that determine interindividual variability of CYP2B-mediated oxidation of drugs in people.

Advertisement

Acknowledgments

Indeed, this work would not have been come to pass without the aid and encouragement of so many people. Actually, this piece of work has been a collective effort and by no means my sole product. Family and friends are at the core of this accomplishment, constantly providing us with encouraging words to get through tougher times. So, we greatly acknowledge the contribution of the sincere people who so graciously supported us throughout this work which would not have been accomplished without the support and assistance of them, so we are really grateful and ask Allah to reward them on our behalf.

References

  1. 1. NOTLEY LM, WOLF, C. J F., WUNSCH, R. M., ROY G LANCASTER, R. G. Bioactivation of Tamoxifen by Recombinant Human Cytochrome P450 Enzymes. Chemical Research in Toxicology. 2002;15(5):614-622
  2. 2. LI, A. P., REITH, M. K., RASMUSSEN, A., GORSKI, J. C., HALL, S. D., XU, L., KAMINSKI, D. L. & CHENG, L. K. Primary human hepatocytes as a tool for the evaluation of structure-activity relationship in cytochrome P450 induction potential of xenobiotics: evaluation of rifampin, rifapentine and rifabutin. Chem Biol Interact. 1997;107:17-30
  3. 3. EKINS S, RING BJ, GRACE J, MCROBIE-BELLE DJ, WRIGHTON SA. Present and future in vitro approaches for drug metabolism. J PharmacolToxicol Methods. 2000;44:313-324
  4. 4. RICHARDSON, S. J., BAI, A., KULKARNI A. A, AND MOGHADDAM, M. F. (2016) Efficiency in Drug Discovery: Liver S9 Fraction Assay As a Screen for Metabolic Stability. Drug Metabolism Letters. 10(2): 83-90
  5. 5. SUEYOSHI T, KAWAMOTO T, ZELKO I, HONKAKOSKI P, NEGISHI M. The repressed nuclear receptor CAR responds to phenobarbital in activating the human CYP2B6 gene. J Biol Chem. 1999;274:6043-6046
  6. 6. HESSE LM, VENKATAKRISHNAN K, COURT MH, VON MOLTKE LL, DUAN SX, SHADER RI, et al. CYP2B6 mediates the In vitro hydroxylation of bupropion: potential drug interactions with other antidepressants. Drug Metabolism and Disposition. 2000;28:1176-1183
  7. 7. SHIMADA T, YAMAZAKI H, MIMURA M, INUI Y, GUENGERICH F. Interindividual variations in human liver cytochrome P-450 enzymes involved in the oxidation of drugs, carcinogens and toxic chemicals: Studies with liver microsomes of 30 Japanese and 30 caucasians. The Journal of Pharmacology and Experimental Therapeutics. 1994;270:414-423
  8. 8. STRESSER D, KUPFER D. Monospecific antipeptide antibody to cytochrome P-450 2B6. Drug Metabolism and Disposition. 1999;27:517-525
  9. 9. TRACY TS, CHAUDHRY AS, PRASAD B, THUMMEL KE, SCHUETZ EG, ZHONG X, et al. Interindividual Variability in Cytochrome P450–Mediated Drug Metabolism. Drug Metabolism Disposition. 2016;44(3):343-351
  10. 10. HESSE LM, HE, P., KRISHNASWAMY, S., HAO, Q., HOGAN, K., VON MOLTKE, L. L., GREENBLATT, D. J. & COURT, M. H. Pharmacogenetic determinants of interindividual variability in bupropion hydroxylation by cytochrome P450 2B6 in human liver microsomes. Pharmacogenetics. 2004;14:225-238
  11. 11. LANG T, KLEIN K, FISCHER J, NUSSLER AK, NEUHAUS P, HOFMANN U, et al. Extensive genetic polymorphism in the human CYP2B6 gene with impact on expression and function in human liver. Pharmacogenetics. 2001;11:399-415
  12. 12. JINNO H, TANAKA-KAGAWA T, OHNO A, MAKINO Y, MATSUSHIMA E, HANIOKA N, et al. Functional characterization of cytochrome P450 2B6 allelic variants. Drug MetabDispos. 2003;31:398-403
  13. 13. LANG T, KLEIN K, RICHTER T, ZIBAT A, KERB R, EICHELBAUM M, et al. Multiple novel nonsynonymous CYP2B6 gene polymorphisms in Caucasians: demonstration of phenotypic null alleles. J PharmacolExpTher. 2004;311:34-43
  14. 14. KIRCHHEINER J, KLEIN C, MEINEKE I, SASSE J, ZANGER UM, MURDTER TE, et al. Bupropion and 4-OH-bupropion pharmacokinetics in relation to genetic polymorphisms in CYP2B6. Pharmacogenetics. 2003;13:619-626
  15. 15. TSUCHIYA K, GATANAGA H, TACHIKAWA N, TERUYA K, KIKUCHI Y, YOSHINO M, et al. Homozygous CYP2B6 *6 (Q172H and K262R) correlates with high plasma efavirenz concentrations in HIV-1 patients treated with standard efavirenz-containing regimens. Biochem Biophys Res Commun. 2004;319:1322-1326
  16. 16. HAAS DW, RIBAUDO HJ, KIM RB, TIERNEY C, WILKINSON GR, GULICK RM, et al. Pharmacogenetics of efavirenz and central nervous system side effects: an Adult AIDS Clinical Trials Group study. Aids. 2004;18:2391-2400
  17. 17. PASCUSSI JM, BUSSON-LE CONIAT, M., MAUREL, P. & VILAREM, M. J. Transcriptional analysis of the orphan nuclear receptor constitutive androstane receptor (NR1I3) gene promoter: identification of a distal glucocorticoid response element. Mol Endocrinol. 2003;17:42-55
  18. 18. DROCOURT L, OURLIN JC, PASCUSSI JM, MAUREL P, VILAREM MJ. Expression of CYP3A4, CYP2B6, and CYP2C9 is regulated by the vitamin D receptor pathway in primary human hepatocytes. J Biol Chem. 2002;277:25125-25132
  19. 19. BEVILACQUA A, CERIANI MC, CAPACCIOLI S, NICOLIN A. Post-Transcriptional Regulation of Gene Expression by Degradation of Messenger RNAs. Journal of cellular physiology. 2003;195:356-372
  20. 20. FRANKS A, AIROLDI E, SLAVOV N. Post-transcriptional regulation across human tissues. PLOS Computational Biology, l. 2017;13(5)
  21. 21. GRAVELEY, B. R. (2001). Alternative Splicing: Increasing Diversity in the Proteomic World. Trends in Genetics, 17(2):100-107
  22. 22. LEE, C. AND ROY, M. (2004) Analysis of alternative splicing with microarrays: successes and challenges. Genome Biol., 5(7): 231
  23. 23. WANG Y, LIU J, HUANG B, XU, Y., LI, J., HUANG, L., LIN, J., ZHANG, J., MIN, Q., YANG, W., and WANG, X. Mechanism of alternative splicing and its regulation. Biomedical Reports. 2015;3(2):152-158
  24. 24. DGUZEH U, HADDAD NC, SMITH KT, JOHNSON JO, DOYE AA, GWATHMEY, J. K AND HADDAD G. E. Alcoholism: A Multi-Systemic Cellular Insult to Organs. Int J Environmental Research and Public Health. 2018;15(6):1083
  25. 25. JIN, M., ANDE, A., KUMAR, A. AND KUMAR, S. (2013) Regulation of cytochrome P450 2e1 expression by ethanol: role of oxidative stress-mediated pkc/jnk/sp1 pathway. Cell Death & Disease, 4: e554
  26. 26. LOUIS CA, SINCLAIR JF, WOOD SG, LAMBRECHT LK, SINCLAIR PR, SMITH EL. Synergistic induction of cytochrome P450 by ethanol and isopentanol in cultures of chick embryo and rat hepatocytes. Toxicology and Applied Pharmacology. 1993;118(2):169-176
  27. 27. YE Q.,, LIAN, F., CHAVEZ, P. R., CHUNG, J., LING, W., QIN, H., SEITZ, H. K., and WANG, X. (2012) Cytochrome P450 2E1 inhibition prevents hepatic carcinogenesis induced by diethylnitrosamine in alcohol-fed rats. Hepatobiliary Surgury and Nutrition, 1(1): 5-18
  28. 28. ONETA CM, LIEBER CS, LI, J., RUTTIMANN, S., SCHMID, B., LATTMANN, J., ROSMAN, A. S. & SEITZ, H. K. Dynamics of cytochrome P4502E1 activity in man: induction by ethanol and disappearance during withdrawal phase. J Hepatol. 2002;36:47-52
  29. 29. RAUCY JL, LASKER J, OZAKI K, ZOLETA V. Regulation of CYP2E1 by ethanol and palmitic acid and CYP4A11 by clofibrate in primary cultures of human hepatocytes. Toxicol Sci. 2004;79:233-241
  30. 30. PENG Y, WU, H., ZHANG, X., ZHANG, F. A comprehensive assay for nine major cytochrome P450 enzymes activities with 16 probe reactions on human liver microsomes by a single LC/MS/MS run to support reliable in vitro inhibitory drug–drug interaction evaluation. Xenobiotica. 2015;45(11):1-17
  31. 31. POSNER J, BYE A, JEAL S, PECK AW, WHITEMAN P. Alcohol and bupropion pharmacokinetics in healthy male volunteers. Eur J ClinPharmacol. 1984;26:627-630
  32. 32. MIGHELL, A.J., SMITH N.R., ROBINSON P.A. & MARKHAM A.F. (2000) Vertebrate pseudogenes. FEBS Lett468, 109-114
  33. 33. VANIN, E. F. (1985) Processed pseudogenes: characteristics and evolution. Annu Rev Genet, 19, 253-272
  34. 34. TUTAR, Y. (2012) Pseudogenes. Comparative and Functional Genomics: 4
  35. 35. ZHANG Z, HARRISON PM, LIU Y, AND GERSTEIN, M. Millions of Years of Evolution Preserved: A Comprehensive Catalog of the Processed Pseudogenes in the Human Genome. Genome Research. 2003;13(12):2541-2558
  36. 36. ZANGER, U. M. AND SCHWAB, M. (2013) Cytochrome P450 enzymes in drug metabolism: Regulation of gene expression, enzyme activities, and impact of genetic variation. Pharmacology & Therapeutics, Volume 138, Issue 1: 103-141

Written By

Abdulmohsen Alrohaimi, Bader Alrohaimi, Nada Alruwais and Kholoud Aldmasi

Submitted: 20 June 2021 Reviewed: 08 July 2021 Published: 08 November 2021