Age-Dependent Absolute Abundance of Hepatic Carboxylesterases

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Age-Dependent Absolute Abundance of Hepatic Carboxylesterases Supplemental material to this article can be found at: http://dmd.aspetjournals.org/content/suppl/2016/11/28/dmd.116.072652.DC1 1521-009X/45/2/216–223$25.00 http://dx.doi.org/10.1124/dmd.116.072652 DRUG METABOLISM AND DISPOSITION Drug Metab Dispos 45:216–223, February 2017 Copyright ª 2017 by The American Society for Pharmacology and Experimental Therapeutics Age-Dependent Absolute Abundance of Hepatic Carboxylesterases (CES1 and CES2) by LC-MS/MS Proteomics: Application to PBPK Modeling of Oseltamivir In Vivo Pharmacokinetics in Infants s Mikael Boberg, Marc Vrana, Aanchal Mehrotra, Robin E. Pearce, Andrea Gaedigk, Deepak Kumar Bhatt, J. Steven Leeder, and Bhagwat Prasad Department of Pharmaceutics, University of Washington, Seattle, Washington (M.B., M.V., A.M., D.K.B., B.P.); Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden (M.B.); Division of Clinical Pharmacology, Toxicology, and Therapeutic Innovation, Children’s Mercy Kansas City, Kansas City, Missouri (R.E.P., A.G., J.S.L.); and School of Medicine, University of Missouri-Kansas City, Kansas City, Missouri (R.E.P., A.G., J.S.L.) Received July 22, 2016; accepted November 22, 2016 Downloaded from ABSTRACT The age-dependent absolute protein abundance of carboxylester- milligram total protein) increased approximately 5-fold (315.2 vs. ase (CES) 1 and CES2 in human liver was investigated and ap- 1664.4) and approximately 3-fold (59.8 vs. 174.1) from neonates to plied to predict infant pharmacokinetics (PK) of oseltamivir. The adults, respectively. CES1 protein abundance in liver cytosol also CES absolute protein abundance was determined by liquid showed age-dependent maturation. Oseltamivir carboxylase activ- dmd.aspetjournals.org chromatography-tandem mass spectrometry proteomics in human ity was correlated with protein abundance in pediatric and adult liver liver microsomal and cytosolic fractions prepared from tissue microsomes. The protein abundance data were then used to model samples obtained from 136 pediatric donors and 35 adult donors. in vivo PK of oseltamivir in infants using pediatric physiologically Two surrogate peptides per protein were selected for the quantifi- based PK modeling and incorporating the protein abundance–based cation of CES1 and CES2 protein abundance. Purified CES1 and ontogeny function into the existing pediatric Simcyp model. The CES2 protein standards were used as calibrators, and the heavy predicted pediatric area under the curve, maximal plasma concen- labeled peptides were used as the internal standards. In he- tration, and time for maximal plasma concentration values were at ASPET Journals on September 25, 2021 patic microsomes, CES1 and CES2 abundance (in picomoles per below 2.1-fold of the clinically observed values, respectively. Introduction or activate drugs (Hines et al., 2013). For example, Gray baby syndrome Because clinical dose optimization studies often have not been resulted in serious adverse effects when the antibiotic chloramphenicol conducted in children, a majority of the drugs used in pediatrics are was given to infants in whom immature glucuronidation resulted in prescribed off-label (Kimland et al., 2012; Laughon et al., 2014). This reduced clearance of the drug (Sutherland, 1959). Therefore, the current suboptimal practice could be unsafe because children, especially approach to predicting pediatric drug dosing, which relies on empirical neonates and infants, may be susceptible to adverse drug effects or lack body weight or body surface area normalization, should also consider the of drug efficacy due to their insufficient ability to metabolically eliminate developmental trajectories of processes involved in drug disposition and response. One solution is to use pediatric physiologically based pharma- cokinetic (pPBPK) models, which can be developed by integrating information on relevant age-dependent physiologic differences, for The study was supported by the Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD) of the National Institutes of Health dose-exposure simulations in children as an alternative to applying scaling [NIH; Grant R01-HD-081299]. The project, entitled “Laboratory of Developmental factors to models based on adult data. In the currently available pPBPK Biology,” was supported by an award from the Eunice Kennedy Shriver NICHD of models, different physiologic factors affecting drug disposition, such as the NIH [Award 5R24-HD-0008836]. Human liver microsomal and cytosolic organ size, tissue composition, pH in the gastrointestinal (GI) tract, and samples from pediatric donors were obtained from the Eunice Kennedy Shriver body fluid dynamics, are taken into consideration (Zhao et al., 2011). NICHD Brain and Tissue Bank for Developmental Disorders at the University of However, a major limitation of existing pPBPK models is the limited Maryland [funded by NIH Contract HHSN275200900011C, reference number availability of precise developmental trajectories for major drug- N01-HD-9-0011]; and from the Liver Tissue Cell Distribution System [funded by metabolizing enzymes (DMEs) and transporters in the drug disposition NIH Contract N01-DK-7-0004/HHSN267200700004C] at the University of Minnesota and the University of Pittsburgh. organs. Therefore, it is critical to study the developmental expression and M.B. and M.V. contributed equally to this work. activity of DMEs and drug transporters (Prasad et al., 2016). dx.doi.org/10.1124/dmd.116.072652. Carboxylesterases (CESs) are DMEs in the a-b hydrolase family, s This article has supplemental material available at dmd.aspetjournals.org. which metabolize many compounds, including drugs containing ester, ABBREVIATIONS: Adultmax, adult maximum average relative protein abundance; AUC, area under the curve; CES, carboxylesterase; CI, confidence interval; CLint, intrinsic clearance; Cmax, maximal plasma concentration; DME, drug-metabolizing enzyme; LC-MS/MS, liquid chromatography-tandem mass spectrometry; MRM, multiple reaction monitoring; m/z, charge/mass ratio; pPBPK, pediatric physiologically based pharmacokinetic; PK, pharmacokinetics; Tmax, time for maximal plasma concentration. 216 Age-Dependent Hepatic Carboxylesterase Abundance 217 thioester, and amide bonds and environmental toxins such as phthalates protein internal standard to address sample-to-sample variability in the trypsin and benzoates. Cocaine (Pindel et al., 1997), heroin (Kamendulis et al., digestion. The mix was then incubated at 95° for 10 minutes with gentle shaking at 1996), clopidogrel (Tang et al., 2006), aspirin (Tang et al., 2006), 300 rpm. Samples were cooled to room temperature for 10 minutes before adding m methylphenidate (Merali et al., 2014), enalapril/ramipril (Thomsen et al., 20 l of iodoacetamide (500 mM) for incubation at room temperature in the dark for m 2014), oseltamivir (Shi et al., 2006), and irinotecan (Haaz et al., 1997) 30 minutes. Five hundred microliters of ice-cold methanol, 100 lofice-cold chloroform, and 400 ml of cold water were added to each sample; vortex mixed; and are some examples of drugs and prodrugs that undergo phase I subjectedtocentrifugation at 16,000g (4°C) for 5 minutes. The upper and lower metabolism by CESs, most of which are prescribed to children. In this layers were removed using vacuum suction, and pellets were dried at room study, hepatic CES1 and CES2 protein abundance in different pediatric temperature for 10 minutes. Pellets were subsequently washed with 500 mlofice- age groups was determined and compared with the observed protein cold methanol and subjected to centrifugation at 8000g (4°C) for 5 minutes, after abundance in adults. Although ontogeny data for hepatic CES1 and which the supernatant was removed. Pellets were dried at room temperature for CES2 have been reported previously (Yang et al., 2009; Hines et al., 30 minutes and resuspended in 60 ml of ammonium bicarbonate buffer (50 mM, pH 2016), we used a state-of-the-art liquid chromatography-tandem mass 7.8). Twenty microliters of trypsin (0.16 mg/ml) was added for digestion (37°C, spectrometry (LC-MS/MS)–based absolute protein quantification ap- 16 hours, gentle shaking at 300 rpm). The trypsin digestion was quenched by proach to quantify age-dependent expression of these proteins in a large placing samples on dry ice. Twenty microliters of heavy peptide internal standard cohort of well-studied pediatric and adult samples. Subsequently, the cocktail [dissolved in acetonitrile/water 80:20 (v/v) with 0.5% formic acid] and 10 ml of acetonitrile/water 80:20 (v/v) with 0.5% formic acid were added to each ontogeny data were incorporated into the Simcyp PBPK software sample to facilitate peptide solubility. After mixing and centrifugation at 4000g (Certara, Princeton, NJ) to predict in vivo pharmacokinetics (PK) of (4°C) for 5 minutes, samples were transferred to LC-MS/MS autosampler vials. Downloaded from oseltamivir in infants. Quantitative Analysis of CESs by LC-MS/MS. The LC-MS/MS system consisted of an Acquity UPLC System (Waters Technologies, Milford, MA) coupled toanABSciexTripleQuad6500System(AppliedBiosystems,Framingham,MA) Materials and Methods was used. Two surrogate peptides per protein were selected for the quantification of Materials. Synthetic heavy labeled peptides (Supplemental Table 1) were CES1 and CES2 protein abundance (Supplemental Table 1) following a previously obtained from Thermo Fisher Scientific (Rockford, IL). Chloroform, ethyl ether, established protocol (Prasad and Unadkat, 2014). Peptide separation was
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