Impact of inhalational exposure to ethanol fuel on the pharmacokinetics of verapamil, ibuprofen and fluoxetine as in vivo probe drugs for CYP3A, CYP2C and CYP2D in rats
Graphical abstract
Introduction
Ethanol is among the chemicals of great importance for the human occupational exposure in terms of volume produced and the extent of its distribution. It is estimated that more than 650,000 workers are potentially exposed to ethanol mainly by inhalation but also by dermal route. Beyond the alcoholic beverages, the major industrial uses of ethanol are as solvent, as disinfectant, as intermediate in the synthesis of other chemicals and increasingly as biofuel (Anses, 2013, Bevan et al., 2009). Occupational exposure limits for ethanol are consistent around the world (Bevan et al., 2009). The American Conference of Governmental Industrial Hygienists (ACGIH) recommends a threshold limit value – short-term exposure limit (TLV-STEL) of 1880 mg/m3 (or 1000 ppm) to protect from respiratory, ocular irritation as well as long-term effects of ethanol vapor exposure (ACGIH, 2011). Ethanol is classified as a confirmed animal carcinogen with unknown relevance to humans (A3) by ACGIH. On the other hand, alcoholic beverages are classified as category 1 by the International Agency for Research on Cancer (IARC) due to sufficient evidence for carcinogenicity in humans. These different classifications are mainly based on different routes of exposure (inhalation versus oral), frequency and extent of exposure. It is estimated that exposure by inhalation to 1000 ppm for 8 h would be equivalent to the consumption of 12 g orally in 8 h in terms of amount absorbed, which means negligible increase of risk carcinogenesis (Bevan et al., 2009, American Conference, 2011).
Hepatic metabolism is responsible for the elimination of approximately 90% of ethanol, and is dependent mainly on alcohol dehydrogenase. Catalase and the microsomal cytochrome P450 (CYP) also contribute to ethanol metabolism, but in a lesser extent. The contribution of catalase and CYP isoforms to ethanol metabolism can increase in the presence of high amounts of H2O2 and after chronic alcohol consumption, respectively (Bruckner et al., 2013). Studies using human liver microsomes reported that CYP1A1, CYP1A2, CYP1B1, CYP2B6, CYP2C8, CYP2C9*1, CYP2C9*2, CYP2C9*3, CYP2C19, CYP2D6, CYP2E1, CYP2J2, CYP3A4 and CYP4A11 convert ethanol in acetaldehyde with apparent Km values around 10 mM. The selective inhibition of CYP2C9, CYP2C19, CYP2E1, CYP3A4 e CYP1A2 reduces ethanol oxidation in 8 ± 1.2%, 7.6 ± 1.6%, 11.9 ± 2.1%, 19.8 ± 1.9% and 16.3 ± 3.9%, respectively (Hamitouche et al., 2006).
The effect of ethanol exposure through inhalation on cytochrome P450 isoenzymes activity is not fully understood. In human lymphoblastoid microsomes, 0.1–1% ethanol inhibits CYP1A1 (19–69%), CYP2B6 (25–80%), CYP2C19 (28–72%) and CYP2D6 (11–59%) (Busby et al., 1999). Ethanol at 1% inhibited phenacetin O-deethylation (CYP1A) in rat liver microsomes by >20% (Li et al., 2010). Ethanol increased the Km and decreased the intrinsic clearance of CYP2B6-mediated bupropion hydroxylation and of CYP2C8-mediated paclitaxel hydroxylation, in a concentration-dependent manner in human liver microsomes (Vuppugalla et al., 2007). Inhalation of ethanol vapors in high concentrations, enough to produces blood ethanol levels of 1.8 g/L, for 4 weeks, induced CYP2E1 in rats (Zerilli et al., 1995). The induction of CYP2E1 by chronically consumers of alcoholic beverages results in accelerated metabolism of many CYP2E1 substrates, such as paracetamol, halothane and chlorzoxazone. Thus, decreased drug efficacy of CYP2E1 substrates or the accumulation of its active metabolites are usually observed in patients chronically consuming ethanol (Klotz and Ammon, 1998).
The objective of the present study is to investigate the influence of exposure to ethanol fuel in a nose-only inhalation chamber on the pharmacokinetics of the verapamil, ibuprofen and fluoxetine enantiomers as biomarkers of in vivo activity of CYP3A, CYP2C and CYP2D, respectively, in rats. The integration of occupational toxicology with clinical pharmacology will be useful to understand the solvent–drug interaction and to shape risk assessment strategies in order to improve occupational health (Flack and Nylander-French, 2012).
Section snippets
Chemicals
Verapamil hydrochloride, norverapamil and ibuprofen were obtained from Sigma–Aldrich (St. Louis, USA). Racemic fluoxetine was from Toronto Research Chemicals (Toronto, Canada). Acetonitrile, hexane, isopropanol and ethanol high-performance liquid chromatography (HPLC) grade solvents were from Tedia Way (Fairfield, USA); methanol HPLC grade was from Merck (Darmstadt, Germany) and diisopropyl ether was from Acros Organics (New Jersey, USA). Deionized water used during experiments was obtained
Results and discussion
Interindividual variability in drug efficiency and drug safety remains a challenge in clinical pharmacology. The induction or inhibition of enzymes involved in metabolism due to physiological conditions, diseases, drug–drug interaction or occupational exposure to chemical agents are among the main causes of variability in drug response. The environmental or occupational exposure to chemicals can modulate the activity of cytochrome P450 isozymes. The enzyme induction and inhibition may affect
Conclusion
In conclusion, ethanol fuel inhalation at a concentration of 2 TLV-STEL (6 h/day for 6 weeks) induced CYP2C in rats by reducing AUC0–∞ and increasing the apparent clearance of the enantiomer (+)-(S)-ibuprofen; CYP2D inhibition indicated by the increased AUC0–∞ and decreased apparent clearance of (−)-(R)-fluoxetine; and CYP3A induction as evidenced by reduced AUC0–∞ values and increased apparent clearances of both verapamil enantiomers.
Acknowledgments
The authors acknowledge the financial support from São Paulo Research Foundation (Fundação de Amparo à Pesquisa do Estado de São Paulo, FAPESP) under grant number 2009/17532-0.
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