Metabolism of phenytoin by the gingiva of normal humans: the possible role of reactive metabolites of phenytoin in the initiation of gingival hyperplasia

Cannabinoid disposition in oral fluid after controlled smoked, vaporized, and oral cannabis administration

Oral fluid (OF) is an important matrix for monitoring drugs. Smoking cannabis is common, but vaporization and edible consumption also are popular. OF pharmacokinetics are available for controlled smoked cannabis, but few data exist for vaporized and oral routes. Frequent and occasional cannabis smokers were recruited as participants for four dosing sessions including one active (6.9% Δ9 -tetrahydrocannabinol, THC) or placebo cannabis-containing brownie, followed by one active or placebo cigarette, or one active or placebo vaporized cannabis dose. Only one active dose was administered per session. OF was collected before and up to 54 (occasional) or 72 (frequent) h after dosing from cannabis smokers. THC, 11-hydroxy-THC (11-OH-THC), 11-nor-9-carboxy-THC (THCCOOH), tetrahydrocannabivarin (THCV), cannabidiol (CBD), and cannabigerol (CBG) were quantified by liquid chromatography-tandem mass spectrometry. OF cannabinoid Cmax occurred during or immediately after cannabis consumption due to oral mucosa contamination. Significantly greater THC Cmax and significantly later THCV, CBD, and CBG tlast were observed after smoked and vaporized cannabis compared to oral cannabis in frequent smokers only. No significant differences in THC, 11-OH-THC, THCV, CBD, or CBG tmax between routes were observed for either group. For occasional smokers, more 11-OH-THC and THCCOOH-positive specimens were observed after oral dosing than after inhaled routes, increasing % positive cannabinoid results and widening metabolite detection windows after oral cannabis consumption. Utilizing 0.3 µg/L THCV and CBG cut-offs resulted in detection windows indicative of recent cannabis intake. OF pharmacokinetics after high potency CBD cannabis are not yet available precluding its use currently as a marker of recent use. Published 2016. This article is a U.S. Government work and is in the public domain in the USA.

Oral Adverse Drug Reactions to Cardiovascular Drugs

A great many cardiovascular drugs (CVDs) have the potential to induce adverse reactions in the mouth. The prevalence of such reactions is not known, however, since many are asymptomatic and therefore are believed to go unreported. As more drugs are marketed and the population includes an increasing number of elderly, the number of drug prescriptions is also expected to increase. Accordingly, it can be predicted that the occurrence of adverse drug reactions (ADRs), including the oral ones (ODRs), will continue to increase. ODRs affect the oral mucous membrane, saliva production, and taste. The pathogenesis of these reactions, especially the mucosal ones, is largely unknown and appears to involve complex interactions among the drug in question, other medications, the patient’s underlying disease, genetics, and life-style factors. Along this line, there is a growing interest in the association between pharmacogenetic polymorphism and ADRs. Research focusing on polymorphism of the cytochrome P450 system (CYPs) has become increasingly important and has highlighted the intra- and inter-individual responses to drug exposure. This system has recently been suggested to be an underlying candidate regarding the pathogenesis of ADRs in the oral mucous membrane. This review focuses on those CVDs reported to induce ODRs. In addition, it will provide data on specific drugs or drug classes, and outline and discuss recent research on possible mechanisms linking ADRs to drug metabolism patterns. Abbreviations used will be as follows: ACEI, ACE inhibitor; ADR, adverse drug reaction; ANA, antinuclear antigen; ARB, angiotensin II receptor blocker; BAB, beta-adrenergic blocker; CCB, calcium-channel blocker; CDR, cutaneous drug reaction; CVD, cardiovascular drug; CYP, cytochrome P450 enzyme; EM, erythema multiforme; FDE, fixed drug eruption; I, inhibitor of CYP isoform activity; HMG-CoA, hydroxymethyl-glutaryl coenzyme A; NAT, N-acetyltransferase; ODR, oral drug reaction; RDM, reactive drug metabolite; S, substrate for CYP isoform; SJS, Stevens-Johnson syndrome; SLE, systemic lupus erythematosus; and TEN, toxic epidermal necrolysis.

Velopharyngeal Incoordination Caused by Phenytoin-Induced Toxicity

Phenytoin induces lymphoid proliferation, resulting in complications that can range from tissue hyperplasia to lymphoma. Some of the complications resolve spontaneously after drug discontinuation. This report describes for the first time a case of dysphagia with lack of velopharyngeal coordination and nasopharyngeal reflux combined with massive palatine tonsillar hypertrophy. The condition did not develop before phenytoin administration, was induced by phenytoin, and spontaneously resolved upon drug discontinuation. The patient was referred for a video-fluoroscopic swallowing study owing to a recurring nasal reflux of foods that had developed since phenytoin administration. The video-fluoroscopic swallowing study revealed incidentally that the large bilateral elongated masses extended downward into the larynx and disturbed velar elevation. This finding was confirmed by computed tomography of the neck, which showed that palatine tonsillar hypertrophy disturbed the laryngopharynx on both sides. The symptoms (sleep apnea and nasal reflux) and the abnormal imaging findings disappeared without surgery approximately 1 month after drug discontinuation. This case suggests that dysphagia related to phenytoin-induced lymphoid hypertrophy may be treated by phenytoin discontinuation followed by a sufficient amount of time to allow symptom resolution rather than by prompt surgery.

Current knowledge on cannabinoids in oral fluid

Oral fluid (OF) is a new biological matrix for clinical and forensic drug testing, offering non-invasive and directly observable sample collection reducing adulteration potential, ease of multiple sample collections, lower biohazard risk during collection, recent exposure identification, and stronger correlation with blood than urine concentrations. Because cannabinoids are usually the most prevalent analytes in illicit drug testing, application of OF drug testing requires sufficient scientific data to support sensitive and specific OF cannabinoid detection. This review presents current knowledge of OF cannabinoids, evaluating pharmacokinetic properties, detection windows, and correlation with other biological matrices and impairment from field applications and controlled drug administration studies. In addition, onsite screening technologies, confirmatory analytical methods, drug stability, and effects of sample collection procedure, adulterants, and passive environmental exposure are reviewed. Delta-9-tetrahydrocannabinol OF concentrations could be >1000 µg/L shortly after smoking, whereas minor cannabinoids are detected at 10-fold and metabolites at 1000-fold lower concentrations. OF research over the past decade demonstrated that appropriate interpretation of test results requires a comprehensive understanding of distinct elimination profiles and detection windows for different cannabinoids, which are influenced by administration route, dose, and drug use history. Thus, each drug testing program should establish cut-off criteria, collection/analysis procedures, and storage conditions tailored to its purposes. Building a scientific basis for OF testing is ongoing, with continuing OF cannabinoids research on passive environmental exposure, drug use history, donor physiological conditions, and oral cavity metabolism needed to better understand mechanisms of cannabinoid OF disposition and expand OF drug testing applicability. Published 2013. This article is a U.S. Government work and is in the public domain in the USA.

Association of galactose single-point test levels and phenytoin metabolic polymorphisms with gingival hyperplasia in patients receiving long-term phenytoin therapy

STUDY OBJECTIVE

To evaluate whether the occurrence or severity of gingival hyperplasia is associated with liver function test results or phenytoin metabolism.

DESIGN

Prospective analysis.

SETTING

University-affiliated medical center in Taipei, Taiwan.

PATIENTS

Sixty-six patients (mean age 37.9 yrs) with epilepsy who were receiving phenytoin for more than 1 year. Intervention. Four blood samples were drawn from each patient for liver function testing, concentrations of phenytoin and its metabolites R-5-(4'-hydroxyphenyl)-5-phenylhydantoin (R-HPPH) and S-HPPH, and genotyping of cytochrome P450 (CYP) 2C9 and 2C19.

MEASUREMENTS AND MAIN RESULTS

Plasma concentrations of phenytoin and its metabolites were determined by a high-performance liquid chromatography method. The CYP2C9 and CYP2C19 genotypes were analyzed by polymerase chain reaction-restriction fragment length polymorphism analysis. Conventional liver function assays and a quantitative liver function test--galactose single-point (GSP) measurement--were performed. Statistical analyses were performed to evaluate the association between liver function test results as well as metabolic phenotype and the occurrence and severity of gingival hyperplasia. Among liver function tests, only GSP levels showed a significant difference between patients with and those without gingival hyperplasia. Patients with an elevated GSP level (> or = 280 microg/ml) had a significantly higher odds ratio (OR 4.51) for the occurrence of gingival hyperplasia. In addition, increased R-HPPH (OR 1.02) and phenytoin (OR 1.09) concentrations were associated with an increased occurrence of gingival hyperplasia. However, only increased GSP and R-HPPH concentrations had significantly higher ORs (2.84 and 1.02, respectively) associated with the severity of gingival hyperplasia. Although mean +/- SD plasma R-HPPH concentration was significantly lower in CYP2C19 poor metabolizers compared with CYP2C9 and CYP2C19 extensive metabolizers and CYP2C9 poor metabolizers (30.38 +/- 16.73 vs 68.22 +/- 44.75 and 78.95 +/- 51.67 microg/ml, respectively), no significant association between genotype and gingival hyperplasia was found.

CONCLUSION

Increased GSP, phenytoin, and R-HPPH concentrations were associated with increased occurrence of phenytoin-induced gingival hyperplasia; only increased GSP and R-HPPH concentrations were associated with increased severity of this adverse effect.

Effect of phenytoin on collagen accumulation by human gingival fibroblasts exposed to TNF-alphain vitro

OBJECTIVE

Tumor necrosis factor (TNF)-alpha is associated with chronic gingival inflammation and reported to induce gingival overgrowth (GO), while phenytoin (PHT) is also known to be a causative agent of GO. We examined the synergistic effect of PHT and TNF-alpha on collagen metabolism in human gingival fibroblasts (HGFs).

MATERIALS AND METHODS

HGFs were cultured with TNF-alpha and PHT. Quantitative real-time RT-PCR was employed to determine the mRNA levels for collagen, matrix metalloproteinases (MMPs), tissue inhibitors of metalloproteinases (TIMPs) and integrin subunits. Cellular collagen endocytosis was determined using a flow-cytometry.

RESULTS

The proliferation of HGFs was not affected by TNF-alpha or PHT individually, whereas both synergistically increased collagen accumulation in HGFs. Further, collagen mRNA expression was not increased by TNF-alpha or PHT, although together they markedly prevented cellular collagen endocytosis, associated with the suppression of alpha2beta1-integrin mRNA expression. The mRNA expression of MMP-1 and-2 was suppressed by PHT, while TIMP-1 mRNA expression was enhanced by both TNF-alpha and PHT.

CONCLUSION

Our results suggest that TNF-alpha and PHT together cause impaired collagen metabolism by suppression of enzymatic degradation with MMPs/TIMP-1 and integrin-mediated endocytosis. These synergistic effects may also be involved in TNF-alpha- and PHT-induced collagen accumulation, leading to GO.

Drug bioactivation, covalent binding to target proteins and toxicity relevance

A number of therapeutic drugs with different structures and mechanisms of action have been reported to undergo metabolic activation by Phase I or Phase II drug-metabolizing enzymes. The bioactivation gives rise to reactive metabolites/intermediates, which readily confer covalent binding to various target proteins by nucleophilic substitution and/or Schiff's base mechanism. These drugs include analgesics (e.g., acetaminophen), antibacterial agents (e.g., sulfonamides and macrolide antibiotics), anticancer drugs (e.g., irinotecan), antiepileptic drugs (e.g., carbamazepine), anti-HIV agents (e.g., ritonavir), antipsychotics (e.g., clozapine), cardiovascular drugs (e.g., procainamide and hydralazine), immunosupressants (e.g., cyclosporine A), inhalational anesthetics (e.g., halothane), nonsteroidal anti-inflammatory drugs (NSAIDSs) (e.g., diclofenac), and steroids and their receptor modulators (e.g., estrogens and tamoxifen). Some herbal and dietary constituents are also bioactivated to reactive metabolites capable of binding covalently and inactivating cytochrome P450s (CYPs). A number of important target proteins of drugs have been identified by mass spectrometric techniques and proteomic approaches. The covalent binding and formation of drug-protein adducts are generally considered to be related to drug toxicity, and selective protein covalent binding by drug metabolites may lead to selective organ toxicity. However, the mechanisms involved in the protein adduct-induced toxicity are largely undefined, although it has been suggested that drug-protein adducts may cause toxicity either through impairing physiological functions of the modified proteins or through immune-mediated mechanisms. In addition, mechanism-based inhibition of CYPs may result in toxic drug-drug interactions. The clinical consequences of drug bioactivation and covalent binding to proteins are unpredictable, depending on many factors that are associated with the administered drugs and patients. Further studies using proteomic and genomic approaches with high throughput capacity are needed to identify the protein targets of reactive drug metabolites, and to elucidate the structure-activity relationships of drug's covalent binding to proteins and their clinical outcomes.

Impact of phenytoin therapy on the skin and skin disease

Phenytoin (diphenylhydantoin; Dilantin), ALZA Corp.) is a highly effective and widely prescribed anticonvulsant agent used in the treatment of focal and tonic clonic generalised seizures. The side effects of phenytoin can occassionally engender significant morbidity. Phenytoin can induce generalised eruptions that include: a maculopapular exanthem, Stevens-Johnson syndrome, generalised exfoliative dermatitis, toxic epidermal necrolysis, vasculitis and fixed drug eruptions. Phenytoin is linked to a hypersensitivity syndrome that manifests with fever, rash and lymphadenopathy. Patients receiving phenytoin may develop pseudolymphoma or, rarely, malignant lymphoma and mycosis fungoides-like lesions. Rarer cutaneous side effects include drug-induced lupus, purple hand syndrome, pigmentary alterations and IgA bullous dermatosis. Phenytoin can effect clotting function and alter vitamin and mineral levels. Prenatal exposure to phenytoin may result in a spectrum of structural, developmental and behavioural changes, known as the fetal hydantoin syndrome. Patients who use phenytoin in the long-term commonly manifest with gingival hyperplasia, coarsening of the facies, and hirsutism.

Oral lichen planus and intake of drugs metabolized by polymorphic cytochrome P450 enzymes

OBJECTIVE

To study if patients with oral lichen planus (OLP) had a medication profile different from that of a control group without oral mucosal lesions. It was hypothesized that OLP lesions might result from poor drug metabolism (PM) because of genetic variation of the major cytochrome P450-enzymes (CYPs with a PM-risk).

SUBJECTS AND METHODS

Dental records of 172 OLP patients were reviewed in this cross-sectional study and 152 sex- and age-matched subjects served as controls. The measures for the drug profiles were medicine type (ATC-code), mono- and polypharmacy, CYP-enzyme metabolism pattern, and medicine with a potential to induce lichenoid drug eruptions.

RESULTS

Fifty per cent of the OLP patients consumed daily medications as compared with 59% of the controls. The OLP patients more frequently consumed medicines metabolized by CYPs with a PM-risk (P = 0.03). Furthermore, they consumed more medicine with an inhibitory effect on one or more CYPs than the controls (P = 0.01).

CONCLUSION

Confounders like sex, age, systemic diseases, drug distribution into the therapeutic classes, and polypharmacy were similar in the two groups; but the OLP patients consumed more drugs metabolized by CYPs with a PM-risk. The results argue for further investigation of associations between OLP, medication intake and the CYP-enzyme metabolic pathways.

Expression of N-acetyltransferases in periodontal granulation tissue

Smoking is a major risk of periodontal diseases. At the site of first contact, the gingiva is exposed to aromatic amines and polycyclic hydrocarbons. These are metabolized by the N-acetyltransferases (NAT), leading to local detoxification and/or activation reactions contributing to the risk of periodontal destruction in smokers. The purpose of this study was to detect the expression of N-acetyltransferase isoenzymes NAT1 and NAT2 in periodontal granulation tissue. In 24 specimens obtained from periodontitis patients or control subjects, mRNA encoding for NAT1 and NAT2 was detected by RT-PCR, and proteins were identified by immunohistochemistry. In periodontal granulation tissues, immunoreactivity for NAT1 and NAT2 was detected in infiltrating leukocytes and fibroblasts. In normal gingiva, both enzymes were found in epithelial cells, whereas NAT1 was also detected in endothelial cells. The results suggest that these enzymes may play a role in the defense against xenobiotics and the accelerated progression of periodontal disease in smokers.

"Gene-swap knock-in" cassette in mice to study allelic differences in human genes

Genetic differences in environmental toxicity and cancer susceptibility among individuals in a human population often reflect polymorphisms in the genes encoding drug-metabolizing enzymes (DMEs), drug transporters, and receptors that control DME levels. This field of study is called "ecogenetics", and a subset of this field--concerning genetic variability in response to drugs--is termed "pharmacogenetics". Although human-mouse differences might be 3- to perhaps 10-fold, human interindividual differences can be as great as 20-fold or more than 40-fold. It would be helpful, therefore, to study toxicokinetics/pharmacokinetics of particular environmental agents and drugs in mice containing these "high-" and "low-extreme" human alleles. We hope to use transgenic "knock-in" technology in order to insert human alleles in place of the orthologous mouse gene. However, the knock-in of each gene has normally been a separate event requiring the following: (a) construction of the targeting vector, (b) transfection into embryonic stem (ES) cells, (c) generation of a targeted mouse having germline transmission of the construct, and (d) backcross breeding of the knock-in mouse (at least 6-8 times) to produce a suitable genetically homogeneous background (i.e., to decrease "experimental noise"). These experiments require 1 1/2 to 2 years to complete, making this very powerful technology inefficient for routine applications. If, on the other hand, the initial knock-in targeting vector might include sequences that would allow the knocked-in gene to be exchanged (quickly and repeatedly) for one new allele after another, then testing distinctly different human polymorphic alleles in transgenic mice could be accomplished in a few months instead of several years. This "gene-swapping" technique will soon be done by zygotic injection of a "human allele cassette" into the sperm or fertilized ovum of the parental knock-in mouse inbred strain or by the cloning of whole mice from cumulus ovaricus cells or tail-snip fibroblasts containing the nucleus wherein each new human allele has already been "swapped." In mouse cells in culture using heterotypic lox sites, we and others have already succeeded in gene swapping, by exchanging one gene, including its regulatory regions, with a second gene (including its regulatory regions). It is anticipated that mouse lines carrying numerous human alleles will become commonplace early in the next millennium.

Pharmacogenetics and pharmacogenomics: why is this relevant to the clinical geneticist?

Adverse drug reactions, due at least in part to interindividual variability in drug response, rank between the 4th and 6th leading causes of death in the USA. The field of 'pharmacogenetics', which is 'the study of variability in drug response due to heredity', should help in reducing drug-caused morbidity and mortality. The recently coined term 'pharmacogenomics' usually refers to 'the field of new drug development based on our rapidly increasing knowledge of all genes in the human genome'. However, the two terms - pharmacogenetics and pharmacogenomics - are often used interchangeably. A classification of more than five dozen pharmacogenetic differences is presented here. Most of these variations occur in drug-metabolizing enzyme (DME) genes, with some presumed to exist in the DME receptor and drug transporter genes, and others have not yet been explained on a molecular basis. A method for unequivocally defining a quantitative phenotype (drug efficacy, toxicity, etc.) is proposed; this is where help from the clinical geneticist can be especially important. Our current appreciation of the degree of variability (including single-nucleotide polymorphisms, SNPs) in the human genome is described, with emphasis on the need to prove that a particular genotype is indeed the cause of a specific phenotype; this topic has been termed 'functional genomics'. Furthermore, the current amount of admixture amongst almost all ethnic groups will obviously make studies of gene-drug interactions more complicated, as will the withholding of ethnic information about DNA samples during any molecular epidemiologic study. DME genes and DME receptor and drug transporter genes can be regarded as 'modifier genes', because they influence disorders as diverse as risk of cancer, bone marrow toxicity resulting from occupational exposure, and Parkinson's disease; for this reason, the clinical geneticist, as well as the medical genetics counselor, should be knowledgeable in the rapidly expanding fields of pharmacogenetics and pharmacogenomics.

Coadministration of phenytoin and felbamate: evidence of additional phenytoin dose-reduction requirements based on pharmacokinetics and tolerability with increasing doses of felbamate

PURPOSE

This open-label study investigated the pharmacokinetic interaction of phenytoin (PHT) and felbamate (FBM).

METHODS

Ten subjects with epilepsy receiving PHT monotherapy were administered increasing doses of FBM (1,200, 1,800, 2,400-3,600 mg/day) at 2-week intervals. PHT doses were reduced by 20% on an individual basis when evidence of clinically significant intolerance was present. With intolerance, the PHT dose was reduced before the next incremental FBM dose. Blood samples were analyzed for FBM, PHT, and PHT metabolite 5-(4-hydroxyphenyl)-5-phenylhydantoin (HPPH).

RESULTS

Total PHT plasma concentrations increased with coadministered FBM. PHT Cmax increased from 15.9 microg/ml at baseline to 20.9 microg/ml after 1,200 mg/day FBM and to 26.8 microg/ml after 1,800 mg/day FBM. Four subjects required a 20% PHT dose reduction after 1,800 mg/day FBM and six after the administration of 2,400 mg/day FBM. All subjects required further 20% PHT reductions before 3,600 mg/day FBM. FBM Cmax and AUCT were reduced, and apparent clearance increased compared with data from FBM monotherapy.

CONCLUSIONS

With the initiation of FBM therapy in subjects receiving PHT, the PHT dosage should be reduced by 20%. Further PHT dose reductions are likely to be necessary if the FBM dose is increased. The requirements for reductions in dose might be predicted by clinical signs of PHT intolerance.

The effect of immunosuppressive agents (FK-506, rapamycin) on renal P450 systems in rat models

It is well known that cyclosporin, rapamycin and FK-506 (tacrolimus) are metabolized by the liver microsomal cytochrome P450 enzyme system. Although there have been reports of interaction between these drugs and the renal P450 enzyme system, differences among these immunosuppressants has not been comprehensively demonstrated. We have studied the individual capacities of these immunosuppressants to induce renal microsomal P450 enzymes similar to CYP2B4 and CYP4A2 by examining renal function in treated rats, and have correlated the results by means of biochemical, immunological and immunohistochemical assays of renal P450 enzymes. Cyclosporin caused impairment of renal function with an increase in renal-specific P450 content, but FK-506 and rapamycin did not. Laurate omega- and (omega-1)-hydroxylase activity increased in rats treated with rapamycin but decreased in those treated with FK-506. Prostaglandin A1 (PGA1) omega-hydroxylase activity increased in rats treated with FK-506 but was reduced by treatment with cyclosporin. Aminopyrine N-demethylase activity increased in rats treated with cyclosporin or FK-506, but not in those treated with rapamycin. Western-blot analysis revealed significant induction of P450, (similar to CYP2B4 of the rabbit P450 isozyme) in kidneys from rats treated with cyclosporin but not in those from rats receiving FK-506 or rapamycin. Histochemical studies clearly demonstrated a form of P450 such as CYP4A2 in the proximal tubules of rats treated with cyclosporin, but not in those of rats treated with FK-506 or rapamycin. These results show that although cyclosporin has a strong effect on renal P450 systems and induces such a system in kidney cortex (microsomal P450), FK-506 and rapamycin have no substantial effect on the induction of renal P450. These findings might clarify the nephrotoxicity induced by these immunosuppressive drugs.

Medication induced gingival overgrowth

A number of idiopathic, pathological and pharmacological reactions may result in an overgrowth of the gingiva. This review concentrates on those overgrowths associated with various pharmacological agents. The pharmaco-kinetics and side effects of each drug associated with gingival overgrowth are discussed along with the clinical and histological features and treatment. By examining the possible pathogeneses for these overgrowths we propose a unifying hypothesis for the causation based around inhibition of apoptosis and decreased collagenase activity modulated by cytoplasmic calcium.

Extrahepatic cytochrome P450: role in in situ toxicity and cell-specific hormone sensitivity

It is clear that members of the Cytochrome P450 supergene family are responsible for the majority of activations of procarcinogens to ultimate carcinogens in the body. These procarcinogens include the food mutagens (heterocyclic amines), pesticides, polycyclic aromatic hydrocarbons and nitrosamines. The Cyp P450 profile in a cell can indicate the capacity of that cell to form reactive metabolites. Furthermore, environmental factors, through their action on P450s, influence the fate of procarcinogens in a cell. This is because different isoforms of P450 are regulated differently by ethanol, diet and environmental inducers, have different substrate specificities and different propensity to be inhibited or activated by dietary components. Cyp P450 (through steroid inactivation), can also influence sensitivity of cells to hormones. Age and hormone related regulation of P450 isoforms such as 1A1, 2B1 and 2A3 in the breast suggest that in situ activation of carcinogens and hormone inactivation can occur in the breast. In the brain and endometrium most of the #P450 isoforms remain to be identified.