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Huillet M, Lasserre F, Gratacap MP, Engelmann B, Bruse J, Polizzi A, Fougeray T, Martin CMP, Rives C, Fougerat A, Naylies C, Lippi Y, Garcia G, Rousseau-Bacquie E, Canlet C, Debrauwer L, Rolle-Kampczyk U, von Bergen M, Payrastre B, Boutet-Robinet E, Gamet-Payrastre L, Guillou H, Loiseau N, Ellero-Simatos S. Pharmacological activation of constitutive androstane receptor induces female-specific modulation of hepatic metabolism. JHEP Rep 2024; 6:100930. [PMID: 38149074 PMCID: PMC10749885 DOI: 10.1016/j.jhepr.2023.100930] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/17/2023] [Revised: 09/25/2023] [Accepted: 09/27/2023] [Indexed: 12/28/2023] Open
Abstract
Background & Aims The constitutive androstane receptor (CAR) is a nuclear receptor that binds diverse xenobiotics and whose activation leads to the modulation of the expression of target genes involved in xenobiotic detoxification and energy metabolism. Although CAR hepatic activity is considered to be higher in women than in men, its sex-dependent response to an acute pharmacological activation has seldom been investigated. Methods The hepatic transcriptome, plasma markers, and hepatic metabolome, were analysed in Car+/+ and Car-/- male and female mice treated either with the CAR-specific agonist 1,4-bis[2-(3,5-dichloropyridyloxy)]benzene (TCPOBOP) or with vehicle. Results Although 90% of TCPOBOP-sensitive genes were modulated in a sex-independent manner, the remaining 10% showed almost exclusive female liver specificity. These female-specific CAR-sensitive genes were mainly involved in xenobiotic metabolism, inflammation, and extracellular matrix organisation. CAR activation also induced higher hepatic oxidative stress and hepatocyte cytolysis in females than in males. Hepatic expression of flavin monooxygenase 3 (Fmo3) was almost abolished and was associated with a decrease in hepatic trimethylamine-N-oxide (TMAO) concentration in TCPOBOP-treated females. In line with a potential role in the control of TMAO homeostasis, CAR activation decreased platelet hyper-responsiveness in female mice supplemented with dietary choline. Conclusions More than 10% of CAR-sensitive genes are sex-specific and influence hepatic and systemic responses such as platelet aggregation. CAR activation may be an important mechanism of sexually-dimorphic drug-induced liver injury. Impact and implications CAR is activated by many drugs and pollutants. Its pharmacological activation had a stronger impact on hepatic gene expression and metabolism in females than in males, and had a specific impact on liver toxicity and trimethylamine metabolism. Sexual dimorphism should be considered when testing and/or prescribing xenobiotics known to activate CAR.
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Affiliation(s)
- Marine Huillet
- Toxalim (Research Centre in Food Toxicology), INRAE, ENVT, INP-Purpan, UPS, Université de Toulouse, Toulouse, France
| | - Frédéric Lasserre
- Toxalim (Research Centre in Food Toxicology), INRAE, ENVT, INP-Purpan, UPS, Université de Toulouse, Toulouse, France
| | - Marie-Pierre Gratacap
- INSERM, UMR-1297 and Université Toulouse III, Institut de Maladies Métaboliques et Cardiovasculaires (I2MC), CHU-Rangueil, Toulouse, France
| | - Beatrice Engelmann
- Department of Molecular Systems Biology, Helmholtz Centre for Environmental Research, Leipzig, Germany
| | - Justine Bruse
- Toxalim (Research Centre in Food Toxicology), INRAE, ENVT, INP-Purpan, UPS, Université de Toulouse, Toulouse, France
| | - Arnaud Polizzi
- Toxalim (Research Centre in Food Toxicology), INRAE, ENVT, INP-Purpan, UPS, Université de Toulouse, Toulouse, France
| | - Tiffany Fougeray
- Toxalim (Research Centre in Food Toxicology), INRAE, ENVT, INP-Purpan, UPS, Université de Toulouse, Toulouse, France
| | - Céline Marie Pauline Martin
- Toxalim (Research Centre in Food Toxicology), INRAE, ENVT, INP-Purpan, UPS, Université de Toulouse, Toulouse, France
| | - Clémence Rives
- Toxalim (Research Centre in Food Toxicology), INRAE, ENVT, INP-Purpan, UPS, Université de Toulouse, Toulouse, France
| | - Anne Fougerat
- Toxalim (Research Centre in Food Toxicology), INRAE, ENVT, INP-Purpan, UPS, Université de Toulouse, Toulouse, France
| | - Claire Naylies
- Toxalim (Research Centre in Food Toxicology), INRAE, ENVT, INP-Purpan, UPS, Université de Toulouse, Toulouse, France
| | - Yannick Lippi
- Toxalim (Research Centre in Food Toxicology), INRAE, ENVT, INP-Purpan, UPS, Université de Toulouse, Toulouse, France
| | - Géraldine Garcia
- Toxalim (Research Centre in Food Toxicology), INRAE, ENVT, INP-Purpan, UPS, Université de Toulouse, Toulouse, France
| | - Elodie Rousseau-Bacquie
- Toxalim (Research Centre in Food Toxicology), INRAE, ENVT, INP-Purpan, UPS, Université de Toulouse, Toulouse, France
| | - Cécile Canlet
- Toxalim (Research Centre in Food Toxicology), INRAE, ENVT, INP-Purpan, UPS, Université de Toulouse, Toulouse, France
| | - Laurent Debrauwer
- Toxalim (Research Centre in Food Toxicology), INRAE, ENVT, INP-Purpan, UPS, Université de Toulouse, Toulouse, France
| | - Ulrike Rolle-Kampczyk
- Department of Molecular Systems Biology, Helmholtz Centre for Environmental Research, Leipzig, Germany
| | - Martin von Bergen
- Department of Molecular Systems Biology, Helmholtz Centre for Environmental Research, Leipzig, Germany
| | - Bernard Payrastre
- INSERM, UMR-1297 and Université Toulouse III, Institut de Maladies Métaboliques et Cardiovasculaires (I2MC), CHU-Rangueil, Toulouse, France
- Laboratoire d’Hématologie, CHU de Toulouse, Toulouse, France
| | - Elisa Boutet-Robinet
- Toxalim (Research Centre in Food Toxicology), INRAE, ENVT, INP-Purpan, UPS, Université de Toulouse, Toulouse, France
| | - Laurence Gamet-Payrastre
- Toxalim (Research Centre in Food Toxicology), INRAE, ENVT, INP-Purpan, UPS, Université de Toulouse, Toulouse, France
| | - Hervé Guillou
- Toxalim (Research Centre in Food Toxicology), INRAE, ENVT, INP-Purpan, UPS, Université de Toulouse, Toulouse, France
| | - Nicolas Loiseau
- Toxalim (Research Centre in Food Toxicology), INRAE, ENVT, INP-Purpan, UPS, Université de Toulouse, Toulouse, France
| | - Sandrine Ellero-Simatos
- Toxalim (Research Centre in Food Toxicology), INRAE, ENVT, INP-Purpan, UPS, Université de Toulouse, Toulouse, France
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Borrego‐Soto G, Perez‐Paramo YX, Hernández‐Cabrera F, Alvarado‐Monroy FM, Borrego G, Robles‐Zamora A, Lazarus P, Rojas‐Martinez A. Biochemical and genetic biomarkers associated with nicotine dependence in Mexican smokers. Pharmacol Res Perspect 2023; 11:e01142. [PMID: 37787014 PMCID: PMC10546262 DOI: 10.1002/prp2.1142] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2023] [Revised: 09/13/2023] [Accepted: 09/13/2023] [Indexed: 10/04/2023] Open
Abstract
Cigarette smoking remains an important health concern and is still a leading cause of preventable mortality. Nicotine is the substance responsible for sustained tobacco use and dependence. Identification of biomarkers underlying nicotine dependence behavior is important to identify people at risk for this dependence. In the present study, we identified biochemical and genetic biomarkers of nicotine dependence detected by the Fagerström Test for Nicotine Dependence (FTDN) in Mexican smokers. The nicotine metabolites nicotine-N'-oxide, trans-3'-hydroxycotinine-glucuronide (3HC-O-Gluc), and nicotine-N-Gluc (Gluc) were useful to differentiate nicotine-dependent from non-dependent subjects (p < .0001) with an area under the curve (AUC) of 0.7818. Genetic variants in CYP2A6, FMO3, and UGT2B7 (rs2431413, rs28363545, and rs7439326, respectively) were associated with nicotine dependence (p = .03, p = .01, p = .01, respectively). Variations in the enzymatic activity of CYP2A6 were associated with altered nicotine-N'-oxide and 3HC-O-Gluc levels. Decreased urinary levels of 3HC-O-Gluc and increased nicotine-N'-oxide were associated with a decrease in the functional activity of CYP2A6. A strong positive correlation was observed between the ratio of urinary 3HC/cotinine, a measure of CYP2A6 activity, and the levels of 3HC-O-Gluc (p < .0001, r = .6835), while a strong negative correlation was observed with nicotine-N'-oxide (p < .0001, r = .6522) in nicotine-dependent subjects. No correlations were observed in non-nicotine-dependent subjects. These data suggest that particular urinary nicotine metabolites and genetic variants involved in nicotine metabolism are useful to identify subjects with nicotine dependence in the Mexican population.
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Affiliation(s)
- Gissela Borrego‐Soto
- Department of Molecular Biosciences, School of Natural SciencesUniversity of Texas at AustinAustinTexasUSA
| | - Yadira Xitlalli Perez‐Paramo
- Department of Pharmaceutical Sciences, College of Pharmacy and Pharmaceutical SciencesWashington State UniversitySpokaneWashingtonUSA
| | - Francisco Hernández‐Cabrera
- Department of Bioinformatics and Complex Systems, Facultad de Ciencias Físico MatemáticasUniversidad Autonoma de Nuevo LeonSan Nicolás de los GarzaMexico
| | | | - Gilberto Borrego
- Department of Computer science and designInstituto Tecnologico de SonoraObregonMexico
| | | | - Philip Lazarus
- Department of Pharmaceutical Sciences, College of Pharmacy and Pharmaceutical SciencesWashington State UniversitySpokaneWashingtonUSA
| | - Augusto Rojas‐Martinez
- Tecnologico de Monterrey, The Institute for Obesity Research and Escuela de Medicina y Ciencias de la SaludMonterreyMexico
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Cleary Y, Kletzl H, Grimsey P, Heinig K, Ogungbenro K, Silber Baumann HE, Frey N, Aarons L, Galetin A, Gertz M. Estimation of FMO3 Ontogeny by Mechanistic Population Pharmacokinetic Modelling of Risdiplam and Its Impact on Drug-Drug Interactions in Children. Clin Pharmacokinet 2023; 62:891-904. [PMID: 37148485 PMCID: PMC10256639 DOI: 10.1007/s40262-023-01241-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/19/2023] [Indexed: 05/08/2023]
Abstract
BACKGROUND AND OBJECTIVE Spinal muscular atrophy (SMA) is a progressive neuromuscular disease caused by insufficient levels of survival motor neuron (SMN) protein. Risdiplam (EvrysdiTM) increases SMN protein and is approved for the treatment of SMA. Risdiplam has high oral bioavailability and is primarily eliminated through hepatic metabolism by flavin-containing monooxygenase3 (FMO3) and cytochrome P450 (CYP) 3A, by 75% and 20%, respectively. While the FMO3 ontogeny is critical input data for the prediction of risdiplam pharmacokinetics (PK) in children, it was mostly studied in vitro, and robust in vivo FMO3 ontogeny is currently lacking. We derived in vivo FMO3 ontogeny by mechanistic population PK modelling of risdiplam and investigated its impact on drug-drug interactions in children. METHODS Population and physiologically based PK (PPK and PBPK) modelling conducted during the development of risdiplam were integrated into a mechanistic PPK (Mech-PPK) model to estimate in vivo FMO3 ontogeny. A total of 10,205 risdiplam plasma concentration-time data from 525 subjects aged 2 months-61 years were included. Six different structural models were examined to describe the in vivo FMO3 ontogeny. Impact of the newly estimated FMO3 ontogeny on predictions of drug-drug interaction (DDI) in children was investigated by simulations for dual CYP3A-FMO3 substrates including risdiplam and theoretical substrates covering a range of metabolic fractions (fm) of CYP3A and FMO3 (fmCYP3A:fmFMO3 = 10%:90%, 50%:50%, 90%:10%). RESULTS All six models consistently predicted higher FMO3 expression/activity in children, reaching a maximum at the age of 2 years with an approximately threefold difference compared with adults. Different trajectories of FMO3 ontogeny in infants < 4 months of age were predicted by the six models, likely due to limited observations for this age range. Use of this in vivo FMO3 ontogeny function improved prediction of risdiplam PK in children compared to in vitro FMO3 ontogeny functions. The simulations of theoretical dual CYP3A-FMO3 substrates predicted comparable or decreased CYP3A-victim DDI propensity in children compared to adults across the range of fm values. Refinement of FMO3 ontogeny in the risdiplam model had no impact on the previously predicted low CYP3A-victim or -perpetrator DDI risk of risdiplam in children. CONCLUSION Mech-PPK modelling successfully estimated in vivo FMO3 ontogeny from risdiplam data collected from 525 subjects aged 2 months-61 years. To our knowledge, this is the first investigation of in vivo FMO3 ontogeny by population approach using comprehensive data covering a wide age range. Derivation of a robust in vivo FMO3 ontogeny function has significant implications on the prospective prediction of PK and DDI in children for other FMO3 substrates in the future, as illustrated in the current study for FMO3 and/or dual CYP3A-FMO3 substrates. CLINICAL TRIAL REGISTRY NUMBERS NCT02633709, NCT03032172, NCT02908685, NCT02913482, NCT03988907.
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Affiliation(s)
- Yumi Cleary
- Roche Pharma Research and Early Development, Roche Innovation Center Basel, Grenzacherstrasse 124, 4070, Basel, Switzerland.
- Centre for Applied Pharmacokinetic Research, University of Manchester, Manchester, UK.
| | - Heidemarie Kletzl
- Roche Pharma Research and Early Development, Roche Innovation Center Basel, Grenzacherstrasse 124, 4070, Basel, Switzerland
| | - Paul Grimsey
- Roche Pharma Research and Early Development, Roche Innovation Center, Welwyn, UK
| | - Katja Heinig
- Roche Pharma Research and Early Development, Roche Innovation Center Basel, Grenzacherstrasse 124, 4070, Basel, Switzerland
| | - Kayode Ogungbenro
- Centre for Applied Pharmacokinetic Research, University of Manchester, Manchester, UK
| | - Hanna Elisabeth Silber Baumann
- Roche Pharma Research and Early Development, Roche Innovation Center Basel, Grenzacherstrasse 124, 4070, Basel, Switzerland
| | - Nicolas Frey
- Roche Pharma Research and Early Development, Roche Innovation Center Basel, Grenzacherstrasse 124, 4070, Basel, Switzerland
| | - Leon Aarons
- Centre for Applied Pharmacokinetic Research, University of Manchester, Manchester, UK
| | - Aleksandra Galetin
- Centre for Applied Pharmacokinetic Research, University of Manchester, Manchester, UK
| | - Michael Gertz
- Roche Pharma Research and Early Development, Roche Innovation Center Basel, Grenzacherstrasse 124, 4070, Basel, Switzerland.
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Shah H, Shah K, Gajera B, Dave RH, Taft DR. Developing a Formulation Strategy Coupled with PBPK Modeling and Simulation for the Weakly Basic Drug Albendazole. Pharmaceutics 2023; 15:pharmaceutics15041040. [PMID: 37111526 PMCID: PMC10145446 DOI: 10.3390/pharmaceutics15041040] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2023] [Revised: 03/11/2023] [Accepted: 03/17/2023] [Indexed: 04/29/2023] Open
Abstract
Albendazole (ABZ) is a weakly basic drug that undergoes extensive presystemic metabolism after oral administration and converts to its active form albendazole sulfoxide (ABZ_SO). The absorption of albendazole is limited by poor aqueous solubility, and dissolution is the rate-limiting step in the overall exposure of ABZ_SO. In this study, PBPK modeling was used to identify formulation-specific parameters that impact the oral bioavailability of ABZ_SO. In vitro experiments were carried out to determine pH solubility, precipitation kinetics, particle size distribution, and biorelevant solubility. A transfer experiment was conducted to determine the precipitation kinetics. A PBPK model for ABZ and ABZ_SO was developed using the Simcyp™ Simulator based on parameter estimates from in vitro experiments. Sensitivity analyses were performed to assess the impact of physiological parameters and formulation-related parameters on the systemic exposure of ABZ_SO. Model simulations predicted that increased gastric pH significantly reduced ABZ absorption and, subsequently, ABZ_SO systemic exposure. Reducing the particle size below 50 µm did not improve the bioavailability of ABZ. Modeling results illustrated that systemic exposure of ABZ_SO was enhanced by increasing solubility or supersaturation and decreasing the drug precipitation of ABZ at the intestinal pH level. These results were used to identify potential formulation strategies to enhance the oral bioavailability of ABZ_SO.
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Affiliation(s)
- Harsh Shah
- Invagen, A Cipla Subsidiary, Hauppauge, NY 11788, USA
| | - Kushal Shah
- Takeda Pharmaceuticals International Inc., Cambridge, MA 02139, USA
| | | | - Rutesh H Dave
- Division of Pharmaceutical Sciences, Arnold & Marie Schwartz College of Pharmacy and Health Sciences, Long Island University, Brooklyn, NY 11201, USA
| | - David R Taft
- Samuel J. and Joan B. Williamson Institute for Pharmacometrics, Division of Pharmaceutical Sciences, Arnold & Marie Schwartz College of Pharmacy and Health Sciences, Long Island University, Brooklyn, NY 11201, USA
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Developmental Pharmacokinetics of Antibiotics Used in Neonatal ICU: Focus on Preterm Infants. Biomedicines 2023; 11:biomedicines11030940. [PMID: 36979919 PMCID: PMC10046592 DOI: 10.3390/biomedicines11030940] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2023] [Revised: 03/06/2023] [Accepted: 03/07/2023] [Indexed: 03/22/2023] Open
Abstract
Neonatal Infections are among the most common reasons for admission to the intensive care unit. Neonatal sepsis (NS) significantly contributes to mortality rates. Empiric antibiotic therapy of NS recommended by current international guidelines includes benzylpenicillin, ampicillin/amoxicillin, and aminoglycosides (gentamicin). The rise of antibacterial resistance precipitates the growth of the use of antibiotics of the Watch (second, third, and fourth generations of cephalosporines, carbapenems, macrolides, glycopeptides, rifamycins, fluoroquinolones) and Reserve groups (fifth generation of cephalosporines, oxazolidinones, lipoglycopeptides, fosfomycin), which are associated with a less clinical experience and higher risks of toxic reactions. A proper dosing regimen is essential for effective and safe antibiotic therapy, but its choice in neonates is complicated with high variability in the maturation of organ systems affecting drug absorption, distribution, metabolism, and excretion. Changes in antibiotic pharmacokinetic parameters result in altered efficacy and safety. Population pharmacokinetics can help to prognosis outcomes of antibiotic therapy, but it should be considered that the neonatal population is heterogeneous, and this heterogeneity is mainly determined by gestational and postnatal age. Preterm neonates are common in clinical practice, and due to the different physiology compared to the full terms, constitute a specific neonatal subpopulation. The objective of this review is to summarize the evidence about the developmental changes (specific for preterm and full-term infants, separately) of pharmacokinetic parameters of antibiotics used in neonatal intensive care units.
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Sharma S, Singh DK, Mettu VS, Yue G, Ahire D, Basit A, Heyward S, Prasad B. Quantitative Characterization of Clinically Relevant Drug-Metabolizing Enzymes and Transporters in Rat Liver and Intestinal Segments for Applications in PBPK Modeling. Mol Pharm 2023; 20:1737-1749. [PMID: 36791335 DOI: 10.1021/acs.molpharmaceut.2c00950] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/17/2023]
Abstract
Rats are extensively used as a preclinical model for assessing drug pharmacokinetics (PK) and tissue distribution; however, successful translation of the rat data requires information on the differences in drug metabolism and transport mechanisms between rats and humans. To partly fill this knowledge gap, we quantified clinically relevant drug-metabolizing enzymes and transporters (DMETs) in the liver and different intestinal segments of Sprague-Dawley rats. The levels of DMET proteins in rats were quantified using the global proteomics-based total protein approach (TPA) and targeted proteomics. The abundance of the major DMET proteins was largely comparable using quantitative global and targeted proteomics. However, global proteomics-based TPA was able to detect and quantify a comprehensive list of 66 DMET proteins in the liver and 37 DMET proteins in the intestinal segments of SD rats without the need for peptide standards. Cytochrome P450 (Cyp) and UDP-glycosyltransferase (Ugt) enzymes were mainly detected in the liver with the abundance ranging from 8 to 6502 and 74 to 2558 pmol/g tissue. P-gp abundance was higher in the intestine (124.1 pmol/g) as compared to that in the liver (26.6 pmol/g) using the targeted analysis. Breast cancer resistance protein (Bcrp) was most abundant in the intestinal segments, whereas organic anion transporting polypeptides (Oatp) 1a1, 1a4, 1b2, and 2a1 and multidrug resistance proteins (Mrp) 2 and 6 were predominantly detected in the liver. To demonstrate the utility of these data, we modeled digoxin PK by integrating protein abundance of P-gp and Cyp3a2 into a physiologically based PK (PBPK) model constructed using PK-Sim software. The model was able to reliably predict the systemic as well as tissue concentrations of digoxin in rats. These findings suggest that proteomics-informed PBPK models in preclinical species can allow mechanistic PK predictions in animal models including tissue drug concentrations.
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Affiliation(s)
- Sheena Sharma
- College of Pharmacy and Pharmaceutical Sciences, Washington State University, Spokane, Washington 99202, United States
| | - Dilip K Singh
- College of Pharmacy and Pharmaceutical Sciences, Washington State University, Spokane, Washington 99202, United States
| | - Vijay S Mettu
- College of Pharmacy and Pharmaceutical Sciences, Washington State University, Spokane, Washington 99202, United States
| | - Guihua Yue
- College of Pharmacy and Pharmaceutical Sciences, Washington State University, Spokane, Washington 99202, United States
| | - Deepak Ahire
- College of Pharmacy and Pharmaceutical Sciences, Washington State University, Spokane, Washington 99202, United States
| | - Abdul Basit
- College of Pharmacy and Pharmaceutical Sciences, Washington State University, Spokane, Washington 99202, United States
| | | | - Bhagwat Prasad
- College of Pharmacy and Pharmaceutical Sciences, Washington State University, Spokane, Washington 99202, United States
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Perez-Paramo YX, Watson CJ, Chen G, Thomas CE, Adams-Haduch J, Wang R, Khor CC, Koh WP, Nelson HH, Yuan JM, Lazarus P. Impact of Genetic Variants in the Nicotine Metabolism Pathway on Nicotine Metabolite Levels in Smokers. Cancer Epidemiol Biomarkers Prev 2023; 32:54-65. [PMID: 36252563 PMCID: PMC9827107 DOI: 10.1158/1055-9965.epi-22-0868] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2022] [Revised: 09/14/2022] [Accepted: 10/11/2022] [Indexed: 01/16/2023] Open
Abstract
BACKGROUND Nicotine metabolism is a major factor in nicotine dependence, with approximately 70% to 80% of nicotine metabolized to cotinine in Caucasians. Cotinine formation is catalyzed primarily by CYP2A6, which also converts cotinine to trans-3'-hydroxycotinine (3HC). The goal of the present study was to examine the effects of CYP2A6 deficiency on nicotine metabolism profiles in vivo and the importance of genetic variants in nicotine-metabolizing enzyme genes on urinary nicotine metabolites levels. METHODS Urine samples from 722 smokers who participated in the Singapore Chinese Health Study were analyzed using UPLC-MS/MS to detect nicotine and eight of its urinary metabolites, and a total of 58 variants in 12 genes involved in nicotine metabolism were investigated in 475 of these subjects with informative genotyping data. RESULTS Urine samples stratified by the ratio of 3HC/cotinine exhibited a 7-fold increase in nicotine-N'-oxide, a 6-fold increase in nicotine-Glucuronide (Gluc), and a 5-fold decrease in 3HC-Gluc when comparing the lower versus upper 3HC/cotinine ventiles. Significant (P < 0.0001) associations were observed between functional metabolizing enzyme genotypes and levels of various urinary nicotine metabolites, including CYP2A6 genotype and levels of nicotine, nicotine-Gluc, nicotine-N'-oxide and 3HC, UGT2B10 genotype and levels of cotinine, nicotine-Gluc and cotinine-Gluc, UGT2B17 genotype and levels of 3HC-Gluc, FMO3 genotype and levels of nicotine-N'-oxide, and CYP2B6 genotype and levels of nicotine-N'-oxide and 4-hydroxy-4-(3-pyridyl)-butanoic acid. CONCLUSIONS These data suggest that several pathways are important in nicotine metabolism. IMPACT Genotype differences in several nicotine-metabolizing enzyme pathways may potentially lead to differences in nicotine dependence and smoking behavior and cessation.
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Affiliation(s)
- Yadira X. Perez-Paramo
- Department of Pharmaceutical Sciences, College of Pharmacy and Pharmaceutical Sciences, Washington State University, Spokane, Washington
| | - Christy J.W. Watson
- Department of Pharmaceutical Sciences, College of Pharmacy and Pharmaceutical Sciences, Washington State University, Spokane, Washington
| | - Gang Chen
- Department of Pharmaceutical Sciences, College of Pharmacy and Pharmaceutical Sciences, Washington State University, Spokane, Washington
| | - Claire E. Thomas
- Division of Cancer Control and Population Sciences, UPMC Hillman Cancer Center, University of Pittsburgh, Pittsburgh, Pennsylvania.,Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Jennifer Adams-Haduch
- Division of Cancer Control and Population Sciences, UPMC Hillman Cancer Center, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Renwei Wang
- Division of Cancer Control and Population Sciences, UPMC Hillman Cancer Center, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Chiea Chuen Khor
- Genome Institute of Singapore, Agency for Science, Technology and Research, Singapore, Singapore.,Singapore Eye Research Institute, Singapore, Singapore.,Eye Academic Clinical Program, Duke-NUS Medical School, Singapore, Singapore
| | - Woon-Puay Koh
- Health Services and Systems Research, Duke-NUS Medical School Singapore, Singapore, Singapore.,Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore
| | - Heather H. Nelson
- Masonic Cancer Center, University of Minnesota, Minneapolis, Minnesota.,Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, Minnesota
| | - Jian-Min Yuan
- Division of Cancer Control and Population Sciences, UPMC Hillman Cancer Center, University of Pittsburgh, Pittsburgh, Pennsylvania.,Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania.,Corresponding Authors: Philip Lazarus, College of Pharmacy and Pharmaceutical Sciences, Washington State University, PBS building, Room 431, Spokane, Washington, 99210-1495. E-mail: ; and Jian-Min Yuan, Division of Cancer Control and Population Sciences, UPMC Hillman Cancer Center, University of Pittsburgh, 5150 Centre Avenue, Pittsburgh, Pennsylvania, 15232. E-mail:
| | - Philip Lazarus
- Department of Pharmaceutical Sciences, College of Pharmacy and Pharmaceutical Sciences, Washington State University, Spokane, Washington.,Corresponding Authors: Philip Lazarus, College of Pharmacy and Pharmaceutical Sciences, Washington State University, PBS building, Room 431, Spokane, Washington, 99210-1495. E-mail: ; and Jian-Min Yuan, Division of Cancer Control and Population Sciences, UPMC Hillman Cancer Center, University of Pittsburgh, 5150 Centre Avenue, Pittsburgh, Pennsylvania, 15232. E-mail:
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8
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Kim SJ, Bale S, Verma P, Wan Q, Ma F, Gudjonsson JE, Hazen SL, Harms PW, Tsou PS, Khanna D, Tsoi LC, Gupta N, Ho KJ, Varga J. Gut microbe-derived metabolite trimethylamine N-oxide activates PERK to drive fibrogenic mesenchymal differentiation. iScience 2022; 25:104669. [PMID: 35856022 PMCID: PMC9287188 DOI: 10.1016/j.isci.2022.104669] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2021] [Revised: 03/24/2022] [Accepted: 06/21/2022] [Indexed: 11/19/2022] Open
Abstract
Intestinal dysbiosis is prominent in systemic sclerosis (SSc), but it remains unknown how it contributes to microvascular injury and fibrosis that are hallmarks of this disease. Trimethylamine (TMA) is generated by the gut microbiome and in the host converted by flavin-containing monooxygenase (FMO3) into trimethylamine N-oxide (TMAO), which has been implicated in chronic cardiovascular and metabolic diseases. Using cell culture systems and patient biopsies, we now show that TMAO reprograms skin fibroblasts, vascular endothelial cells, and adipocytic progenitor cells into myofibroblasts via the putative TMAO receptor protein R-like endoplasmic reticulum kinase (PERK). Remarkably, FMO3 was detected in skin fibroblasts and its expression stimulated by TGF-β1. Moreover, FMO3 was elevated in SSc skin biopsies and in SSc fibroblasts. A meta-organismal pathway thus might in SSc link gut microbiome to vascular remodeling and fibrosis via stromal cell reprogramming, implicating the FMO3-TMAO-PERK axis in pathogenesis, and as a promising target for therapy.
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Affiliation(s)
- Seok-Jo Kim
- Division of Rheumatology, Department of Internal Medicine, The University of Michigan, Suite 7C27, 300 North Ingalls Building, Ann Arbor, MI, USA
- SCM Lifescience Co. Ltd., Incheon, Republic of Korea
| | - Swarna Bale
- Division of Rheumatology, Department of Internal Medicine, The University of Michigan, Suite 7C27, 300 North Ingalls Building, Ann Arbor, MI, USA
| | - Priyanka Verma
- Division of Rheumatology, Department of Internal Medicine, The University of Michigan, Suite 7C27, 300 North Ingalls Building, Ann Arbor, MI, USA
| | - Qianqian Wan
- Division of Rheumatology, Department of Internal Medicine, The University of Michigan, Suite 7C27, 300 North Ingalls Building, Ann Arbor, MI, USA
| | - Feiyang Ma
- Department of Dermatology, The University of Michigan, 300 North Ingalls Building, Ann Arbor, MI, USA
- Department of Computational Medicine & Bioinformatics, The University of Michigan, Ann Arbor, MI, USA
| | - Johann E. Gudjonsson
- Division of Rheumatology, Department of Internal Medicine, The University of Michigan, Suite 7C27, 300 North Ingalls Building, Ann Arbor, MI, USA
- Department of Dermatology, The University of Michigan, 300 North Ingalls Building, Ann Arbor, MI, USA
| | - Stanley L. Hazen
- Department of Cardiovascular and Metabolic Sciences, Lerner Research Institute, Cleveland Clinic, Cleveland, OH, USA
- Center for Microbiome & Human Health, Cleveland Clinic, Cleveland, OH, USA
- Department of Cardiovascular Medicine, Heart and Vascular Institute, Cleveland Clinic, Cleveland, OH, USA
| | - Paul W. Harms
- Department of Dermatology, The University of Michigan, 300 North Ingalls Building, Ann Arbor, MI, USA
- Department of Pathology, The University of Michigan, Ann Arbor, MI, USA
| | - Pei-Suen Tsou
- Division of Rheumatology, Department of Internal Medicine, The University of Michigan, Suite 7C27, 300 North Ingalls Building, Ann Arbor, MI, USA
| | - Dinesh Khanna
- Division of Rheumatology, Department of Internal Medicine, The University of Michigan, Suite 7C27, 300 North Ingalls Building, Ann Arbor, MI, USA
- Michigan Scleroderma Program, The University of Michigan, 300 North Ingalls Building, Ann Arbor, MI, USA
| | - Lam C. Tsoi
- Department of Dermatology, The University of Michigan, 300 North Ingalls Building, Ann Arbor, MI, USA
- Department of Computational Medicine & Bioinformatics, The University of Michigan, Ann Arbor, MI, USA
| | - Nilaksh Gupta
- Department of Cardiovascular and Metabolic Sciences, Lerner Research Institute, Cleveland Clinic, Cleveland, OH, USA
- Center for Microbiome & Human Health, Cleveland Clinic, Cleveland, OH, USA
| | - Karen J. Ho
- Department of Surgery, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - John Varga
- Division of Rheumatology, Department of Internal Medicine, The University of Michigan, Suite 7C27, 300 North Ingalls Building, Ann Arbor, MI, USA
- Department of Dermatology, The University of Michigan, 300 North Ingalls Building, Ann Arbor, MI, USA
- Michigan Scleroderma Program, The University of Michigan, 300 North Ingalls Building, Ann Arbor, MI, USA
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9
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Ahire D, Kruger L, Sharma S, Mettu VS, Basit A, Prasad B. Quantitative Proteomics in Translational Absorption, Distribution, Metabolism, and Excretion and Precision Medicine. Pharmacol Rev 2022; 74:769-796. [PMID: 35738681 DOI: 10.1124/pharmrev.121.000449] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
Abstract
A reliable translation of in vitro and preclinical data on drug absorption, distribution, metabolism, and excretion (ADME) to humans is important for safe and effective drug development. Precision medicine that is expected to provide the right clinical dose for the right patient at the right time requires a comprehensive understanding of population factors affecting drug disposition and response. Characterization of drug-metabolizing enzymes and transporters for the protein abundance and their interindividual as well as differential tissue and cross-species variabilities is important for translational ADME and precision medicine. This review first provides a brief overview of quantitative proteomics principles including liquid chromatography-tandem mass spectrometry tools, data acquisition approaches, proteomics sample preparation techniques, and quality controls for ensuring rigor and reproducibility in protein quantification data. Then, potential applications of quantitative proteomics in the translation of in vitro and preclinical data as well as prediction of interindividual variability are discussed in detail with tabulated examples. The applications of quantitative proteomics data in physiologically based pharmacokinetic modeling for ADME prediction are discussed with representative case examples. Finally, various considerations for reliable quantitative proteomics analysis for translational ADME and precision medicine and the future directions are discussed. SIGNIFICANCE STATEMENT: Quantitative proteomics analysis of drug-metabolizing enzymes and transporters in humans and preclinical species provides key physiological information that assists in the translation of in vitro and preclinical data to humans. This review provides the principles and applications of quantitative proteomics in characterizing in vitro, ex vivo, and preclinical models for translational research and interindividual variability prediction. Integration of these data into physiologically based pharmacokinetic modeling is proving to be critical for safe, effective, timely, and cost-effective drug development.
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Affiliation(s)
- Deepak Ahire
- Department of Pharmaceutical Sciences, Washington State University, Spokane, Washington
| | - Laken Kruger
- Department of Pharmaceutical Sciences, Washington State University, Spokane, Washington
| | - Sheena Sharma
- Department of Pharmaceutical Sciences, Washington State University, Spokane, Washington
| | - Vijaya Saradhi Mettu
- Department of Pharmaceutical Sciences, Washington State University, Spokane, Washington
| | - Abdul Basit
- Department of Pharmaceutical Sciences, Washington State University, Spokane, Washington
| | - Bhagwat Prasad
- Department of Pharmaceutical Sciences, Washington State University, Spokane, Washington
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10
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Hernandez L, Ward LJ, Arefin S, Ebert T, Laucyte-Cibulskiene A, Heimbürger O, Barany P, Wennberg L, Stenvinkel P, Kublickiene K. Blood-brain barrier and gut barrier dysfunction in chronic kidney disease with a focus on circulating biomarkers and tight junction proteins. Sci Rep 2022; 12:4414. [PMID: 35292710 PMCID: PMC8924178 DOI: 10.1038/s41598-022-08387-7] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2021] [Accepted: 02/28/2022] [Indexed: 11/09/2022] Open
Abstract
Kidney failure and associated uraemia have implications for the cardiovascular system, brain, and blood–brain barrier (BBB). We aim to examine BBB disruption, by assessing brain-derived neurotropic factor (BDNF), neuron-specific enolase (NSE) levels, and gut-blood barrier (GBB) disruption by trimethylamine N-oxide (TMAO), in chronic kidney disease (CKD) patients. Additionally, endothelial tight-junction protein expressions and modulation via TMAO were assessed. Serum from chronic kidney disease (CKD) female and male haemodialysis (HD) patients, and controls, were used to measure BDNF and NSE by enzyme-linked immunosorbent assays, and TMAO by mass spectrometry. Immunofluorescent staining of subcutaneous fat biopsies from kidney transplant recipients, and controls, were used to measure microvascular expression of tight-junction proteins (claudin-5, occludin, JAM-1), and control microvasculature for TMAO effects. HD patients versus controls, had significantly lower and higher serum levels of BDNF and NSE, respectively. In CKD biopsies versus controls, reduced expression of claudin-5, occludin, and JAM-1 were observed. Incubation with TMAO significantly decreased expression of all tight-junction proteins in the microvasculature. Uraemia affects BBB and GBB resulting in altered levels of circulating NSE, BDNF and TMAO, respectively, and it also reduces expression of tight-junction proteins that confer BBB maintenance. TMAO serves as a potential candidate to alter BBB integrity in CKD.
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Affiliation(s)
- Leah Hernandez
- Department of Clinical Science, Intervention and Technology (CLINTEC), Division of Renal Medicine, Karolinska Institutet, 14186, Stockholm, Sweden
| | - Liam J Ward
- Department of Clinical Science, Intervention and Technology (CLINTEC), Division of Renal Medicine, Karolinska Institutet, 14186, Stockholm, Sweden
| | - Samsul Arefin
- Department of Clinical Science, Intervention and Technology (CLINTEC), Division of Renal Medicine, Karolinska Institutet, 14186, Stockholm, Sweden
| | - Thomas Ebert
- Department of Clinical Science, Intervention and Technology (CLINTEC), Division of Renal Medicine, Karolinska Institutet, 14186, Stockholm, Sweden
| | - Agne Laucyte-Cibulskiene
- Department of Clinical Science, Intervention and Technology (CLINTEC), Division of Renal Medicine, Karolinska Institutet, 14186, Stockholm, Sweden.,Department of Clinical Sciences, Skåne University Hospital, Lund University, Malmö, Sweden
| | | | - Olof Heimbürger
- Department of Clinical Science, Intervention and Technology (CLINTEC), Division of Renal Medicine, Karolinska Institutet, 14186, Stockholm, Sweden
| | - Peter Barany
- Department of Clinical Science, Intervention and Technology (CLINTEC), Division of Renal Medicine, Karolinska Institutet, 14186, Stockholm, Sweden
| | - Lars Wennberg
- Department of Transplantation Surgery, Karolinska University Hospital, Stockholm, Sweden
| | - Peter Stenvinkel
- Department of Clinical Science, Intervention and Technology (CLINTEC), Division of Renal Medicine, Karolinska Institutet, 14186, Stockholm, Sweden
| | - Karolina Kublickiene
- Department of Clinical Science, Intervention and Technology (CLINTEC), Division of Renal Medicine, Karolinska Institutet, 14186, Stockholm, Sweden.
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11
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Loo RL, Chan Q, Nicholson JK, Holmes E. Balancing the Equation: A Natural History of Trimethylamine and Trimethylamine- N-oxide. J Proteome Res 2022; 21:560-589. [PMID: 35142516 DOI: 10.1021/acs.jproteome.1c00851] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
Trimethylamine (TMA) and its N-oxide (TMAO) are ubiquitous in prokaryote and eukaryote organisms as well as in the environment, reflecting their fundamental importance in evolutionary biology, and their diverse biochemical functions. Both metabolites have multiple biological roles including cell-signaling. Much attention has focused on the significance of serum and urinary TMAO in cardiovascular disease risk, yet this is only one of the many facets of a deeper TMA-TMAO partnership that reflects the significance of these metabolites in multiple biological processes spanning animals, plants, bacteria, and fungi. We report on analytical methods for measuring TMA and TMAO and attempt to critically synthesize and map the global functions of TMA and TMAO in a systems biology framework.
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Affiliation(s)
- Ruey Leng Loo
- Centre for Computational and Systems Medicine, Health Futures Institute, Murdoch University, 5 Robin Warren Drive, Perth, Western Australia 6150, Australia.,The Australian National Phenome Centre, Health Futures Institute, Murdoch University, 5 Robin Warren Drive, Perth, Western Australia 6150, Australia
| | - Queenie Chan
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London W2 1PG, United Kingdom.,MRC Centre for Environment and Health, School of Public Health, Imperial College London, London W2 1PG, United Kingdom
| | - Jeremy K Nicholson
- Centre for Computational and Systems Medicine, Health Futures Institute, Murdoch University, 5 Robin Warren Drive, Perth, Western Australia 6150, Australia.,The Australian National Phenome Centre, Health Futures Institute, Murdoch University, 5 Robin Warren Drive, Perth, Western Australia 6150, Australia.,Institute of Global Health Innovation, Imperial College London, Level 1, Faculty Building, South Kensington Campus, London SW7 2NA, United Kingdom
| | - Elaine Holmes
- Centre for Computational and Systems Medicine, Health Futures Institute, Murdoch University, 5 Robin Warren Drive, Perth, Western Australia 6150, Australia.,The Australian National Phenome Centre, Health Futures Institute, Murdoch University, 5 Robin Warren Drive, Perth, Western Australia 6150, Australia.,Nutrition Research, Department of Metabolism, Nutrition and Reproduction, Faculty of Medicine, Imperial College London, Sir Alexander Fleming Building, London SW7 2AZ, United Kingdom
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12
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Park JW, Park IH, Kim JM, Noh JH, Kim KA, Park JY. Rapid detection of FMO3 single nucleotide polymorphisms using a pyrosequencing method. Mol Med Rep 2021; 25:48. [PMID: 34913068 PMCID: PMC8674696 DOI: 10.3892/mmr.2021.12564] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2021] [Accepted: 11/11/2021] [Indexed: 02/02/2023] Open
Abstract
The present study aimed to develop a reliable pyrosequencing method to detect four single nucleotide polymorphisms (SNPs) of the flavin‑containing monooxygenase 3 (FMO3) gene and to compare the ethnic differences in their allelic frequencies. The pyrosequencing method was used to detect four FMO3 SNPs, namely, c.855C>T (N285N, rs909530), c.441C>T (S147S, rs1800822), c.923A>G (E308G, rs2266780) and c.472G>A (E158K, rs2266782). The allelic frequencies of these SNPs in 122 unrelated Korean subjects were as follows: i) 44.7% for c.855C>T; ii) 23.4% for c.441C>T; iii) 23.0% for c.923A>G; and iv) 27.1% for c.472G>A. Linkage disequilibrium (LD) analysis revealed that the SNPs c.923A>G and c.472G>A exhibited a strong LD (D'=0.8289, r2=0.5332). In conclusion, the pyrosequencing method developed in this study was successfully applied to detect the c.855C>T, c.441C>T, c.923A>G and c.472G>A SNPs of FMO3.
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Affiliation(s)
- Jin-Woo Park
- Department of Clinical Pharmacology and Toxicology, Korea University College of Medicine, Korea University Anam Hospital, Seoul 02841, Republic of Korea
| | - In-Hwan Park
- Department of Clinical Pharmacology and Toxicology, Korea University College of Medicine, Korea University Anam Hospital, Seoul 02841, Republic of Korea
| | - Jong-Min Kim
- Department of Clinical Pharmacology and Toxicology, Korea University College of Medicine, Korea University Anam Hospital, Seoul 02841, Republic of Korea
| | - Ji Hyeon Noh
- Department of Clinical Pharmacology and Toxicology, Korea University College of Medicine, Korea University Anam Hospital, Seoul 02841, Republic of Korea
| | - Kyoung-Ah Kim
- Department of Clinical Pharmacology and Toxicology, Korea University College of Medicine, Korea University Anam Hospital, Seoul 02841, Republic of Korea
| | - Ji-Young Park
- Department of Clinical Pharmacology and Toxicology, Korea University College of Medicine, Korea University Anam Hospital, Seoul 02841, Republic of Korea
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13
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Park JW, Kim KA, Kim JM, Park IH, Park JY. Influence of FMO3 and CYP3A4 Polymorphisms on the Pharmacokinetics of Teneligliptin in Humans. Front Pharmacol 2021; 12:736317. [PMID: 34512362 PMCID: PMC8426351 DOI: 10.3389/fphar.2021.736317] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2021] [Accepted: 08/16/2021] [Indexed: 11/18/2022] Open
Abstract
Teneligliptin, a dipeptidyl peptidase-4 inhibitor, is used to treat type 2 diabetes mellitus. FMO3 and CYP3A4 metabolize teneligliptin into teneligliptin sulfoxide. This study examined the effects of FMO3 (rs909530, rs1800822, rs2266780, and rs2266782) and CYP3A4 (rs2242480) polymorphisms on teneligliptin pharmacokinetics at a steady state among 23 healthy participants administered 20 mg teneligliptin daily for 6 days. Subjects with FMO3 rs909530, rs2266780, and rs2266782 polymorphisms exhibited a significant gene dosage-dependent increase in maximum steady-state plasma drug concentration (Cmax,ss) and area under the drug concentration vs time curve (AUC) (p<0.05). However, the Cmax values significantly decreased but the AUC values did not significantly vary in subjects with CYP3A4 polymorphism (rs2242480). These results suggest that FMO3 and CYP3A4 polymorphisms affect teneligliptin pharmacokinetics in humans. The findings of this study provide a scientific basis for the inter-individual variation in teneligliptin disposition.
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Affiliation(s)
- Jin-Woo Park
- Department of Clinical Pharmacology and Toxicology, Anam Hospital, Korea University College of Medicine, Seoul, South Korea
- Department of Neurology, Anam Hospital, Korea University Medical Center, Seoul, South Korea
| | - Kyoung-Ah Kim
- Department of Clinical Pharmacology and Toxicology, Anam Hospital, Korea University College of Medicine, Seoul, South Korea
| | - Jong-Min Kim
- Department of Clinical Pharmacology and Toxicology, Anam Hospital, Korea University College of Medicine, Seoul, South Korea
| | - In-Hwan Park
- Department of Clinical Pharmacology and Toxicology, Anam Hospital, Korea University College of Medicine, Seoul, South Korea
| | - Ji-Young Park
- Department of Clinical Pharmacology and Toxicology, Anam Hospital, Korea University College of Medicine, Seoul, South Korea
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14
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Abstract
Almost 50% of prescription drugs lack age-appropriate dosing guidelines and therefore are used "off-label." Only ~10% drugs prescribed to neonates and infants have been studied for safety or efficacy. Immaturity of drug metabolism in children is often associated with drug toxicity. This chapter summarizes data on the ontogeny of major human metabolizing enzymes involved in oxidation, reduction, hydrolysis, and conjugation of drugs. The ontogeny data of individual drug-metabolizing enzymes are important for accurate prediction of drug pharmacokinetics and toxicity in children. This information is critical for designing clinical studies to appropriately test pharmacological hypotheses and develop safer pediatric drugs, and to replace the long-standing practice of body weight- or surface area-normalized drug dosing. The application of ontogeny data in physiologically based pharmacokinetic model and regulatory submission are discussed.
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15
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Krueger ES, Lloyd TS, Tessem JS. The Accumulation and Molecular Effects of Trimethylamine N-Oxide on Metabolic Tissues: It's Not All Bad. Nutrients 2021; 13:nu13082873. [PMID: 34445033 PMCID: PMC8400152 DOI: 10.3390/nu13082873] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2021] [Revised: 08/15/2021] [Accepted: 08/19/2021] [Indexed: 02/07/2023] Open
Abstract
Since elevated serum levels of trimethylamine N-oxide (TMAO) were first associated with increased risk of cardiovascular disease (CVD), TMAO research among chronic diseases has grown exponentially. We now know that serum TMAO accumulation begins with dietary choline metabolism across the microbiome-liver-kidney axis, which is typically dysregulated during pathogenesis. While CVD research links TMAO to atherosclerotic mechanisms in vascular tissue, its molecular effects on metabolic tissues are unclear. Here we report the current standing of TMAO research in metabolic disease contexts across relevant tissues including the liver, kidney, brain, adipose, and muscle. Since poor blood glucose management is a hallmark of metabolic diseases, we also explore the variable TMAO effects on insulin resistance and insulin production. Among metabolic tissues, hepatic TMAO research is the most common, whereas its effects on other tissues including the insulin producing pancreatic β-cells are largely unexplored. Studies on diseases including obesity, diabetes, liver diseases, chronic kidney disease, and cognitive diseases reveal that TMAO effects are unique under pathologic conditions compared to healthy controls. We conclude that molecular TMAO effects are highly context-dependent and call for further research to clarify the deleterious and beneficial molecular effects observed in metabolic disease research.
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Affiliation(s)
- Emily S. Krueger
- Department of Nutrition, Dietetics and Food Science, Brigham Young University, Provo, UT 84602, USA; (E.S.K.); (T.S.L.)
| | - Trevor S. Lloyd
- Department of Nutrition, Dietetics and Food Science, Brigham Young University, Provo, UT 84602, USA; (E.S.K.); (T.S.L.)
- Medical Education Program, David Geffen School of Medicine at UCLA, Los Angeles, CA 90095, USA
| | - Jeffery S. Tessem
- Department of Nutrition, Dietetics and Food Science, Brigham Young University, Provo, UT 84602, USA; (E.S.K.); (T.S.L.)
- Correspondence: ; Tel.: +1-801-422-9082
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16
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Cleary Y, Gertz M, Grimsey P, Günther A, Heinig K, Ogungbenro K, Aarons L, Galetin A, Kletzl H. Model-Based Drug-Drug Interaction Extrapolation Strategy From Adults to Children: Risdiplam in Pediatric Patients With Spinal Muscular Atrophy. Clin Pharmacol Ther 2021; 110:1547-1557. [PMID: 34347881 PMCID: PMC9291816 DOI: 10.1002/cpt.2384] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2021] [Accepted: 07/14/2021] [Indexed: 12/14/2022]
Abstract
Risdiplam (Evrysdi) improves motor neuron function in patients with spinal muscular atrophy (SMA) and has been approved for the treatment of patients ≥2 months old. Risdiplam exhibits time‐dependent inhibition of cytochrome P450 (CYP) 3A in vitro. While many pediatric patients receive risdiplam, a drug–drug interaction (DDI) study in pediatric patients with SMA was not feasible. Therefore, a novel physiologically‐based pharmacokinetic (PBPK) model‐based strategy was proposed to extrapolate DDI risk from healthy adults to children with SMA in an iterative manner. A clinical DDI study was performed in healthy adults at relevant risdiplam exposures observed in children. Risdiplam caused an 1.11‐fold increase in the ratio of midazolam area under the curve with and without risdiplam (AUCR)), suggesting an 18‐fold lower in vivo CYP3A inactivation constant compared with the in vitro value. A pediatric PBPK model for risdiplam was validated with independent data and combined with a validated midazolam pediatric PBPK model to extrapolate DDI from adults to pediatric patients with SMA. The impact of selected intestinal and hepatic CYP3A ontogenies on the DDI susceptibility in children relative to adults was investigated. The PBPK analysis suggests that primary CYP3A inhibition by risdiplam occurs in the intestine rather than the liver. The PBPK‐predicted risdiplam CYP3A inhibition risk in pediatric patients with SMA aged 2 months–18 years was negligible (midazolam AUCR of 1.09–1.18) and included in the US prescribing information of risdiplam. Comprehensive evaluation of the sensitivity of predicted CYP3A DDI on selected intestinal and hepatic CYP3A ontogeny functions, together with PBPK model‐based strategy proposed here, aim to guide and facilitate DDI extrapolations in pediatric populations.
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Affiliation(s)
- Yumi Cleary
- Roche Pharma Research and Early Development, Pharmaceutical Sciences, Roche Innovation Center, Basel, Switzerland.,Centre for Applied Pharmacokinetic Research, University of Manchester, Manchester, UK
| | - Michael Gertz
- Roche Pharma Research and Early Development, Pharmaceutical Sciences, Roche Innovation Center, Basel, Switzerland
| | - Paul Grimsey
- Roche Pharma Research and Early Development, Pharmaceutical Sciences, Roche Innovation Center, Welwyn, UK
| | - Andreas Günther
- Roche Pharma Research and Early Development, Pharmaceutical Sciences, Roche Innovation Center, Basel, Switzerland
| | - Katja Heinig
- Roche Pharma Research and Early Development, Pharmaceutical Sciences, Roche Innovation Center, Basel, Switzerland
| | - Kayode Ogungbenro
- Centre for Applied Pharmacokinetic Research, University of Manchester, Manchester, UK
| | - Leon Aarons
- Centre for Applied Pharmacokinetic Research, University of Manchester, Manchester, UK
| | - Aleksandra Galetin
- Centre for Applied Pharmacokinetic Research, University of Manchester, Manchester, UK
| | - Heidemarie Kletzl
- Roche Pharma Research and Early Development, Pharmaceutical Sciences, Roche Innovation Center, Basel, Switzerland
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17
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Parvez MM, Basit A, Jariwala PB, Gáborik Z, Kis E, Heyward S, Redinbo MR, Prasad B. Quantitative Investigation of Irinotecan Metabolism, Transport, and Gut Microbiome Activation. Drug Metab Dispos 2021; 49:683-693. [PMID: 34074730 DOI: 10.1124/dmd.121.000476] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2021] [Accepted: 05/24/2021] [Indexed: 01/01/2023] Open
Abstract
The anticancer drug irinotecan shows serious dose-limiting gastrointestinal toxicity regardless of intravenous dosing. Although enzymes and transporters involved in irinotecan disposition are known, quantitative contributions of these mechanisms in complex in vivo disposition of irinotecan are poorly understood. We explained intestinal disposition and toxicity of irinotecan by integrating 1) in vitro metabolism and transport data of irinotecan and its metabolites, 2) ex vivo gut microbial activation of the toxic metabolite SN-38, and 3) the tissue protein abundance data of enzymes and transporters relevant to irinotecan and its metabolites. Integration of in vitro kinetics data with the tissue enzyme and transporter abundance predicted that carboxylesterase (CES)-mediated hydrolysis of irinotecan is the rate-limiting process in the liver, where the toxic metabolite formed is rapidly deactivated by glucuronidation. In contrast, the poor SN-38 glucuronidation rate as compared with its efficient formation by CES2 in the enterocytes is the key mechanism of the intestinal accumulation of the toxic metabolite. The biliary efflux and organic anion transporting polypeptide-2B1-mediated enterocyte uptake can also synergize buildup of SN-38 in the enterocytes, whereas intestinal P-glycoprotein likely facilitates SN-38 detoxification in the enterocytes. The higher SN-38 concentration in the intestine can be further nourished by β-d-glucuronidases. Understanding the quantitative significance of the key metabolism and transport processes of irinotecan and its metabolites can be leveraged to alleviate its intestinal side effects. Further, the proteomics-informed quantitative approach to determine intracellular disposition can be extended to determine susceptibility of cancer cells over normal cells for precision irinotecan therapy. SIGNIFICANCE STATEMENT: This work provides a deeper insight into the quantitative relevance of irinotecan hydrolysis (activation), conjugation (deactivation), and deconjugation (reactivation) by human or gut microbial enzymes or transporters. The results of this study explain the characteristic intestinal exposure and toxicity of irinotecan. The quantitative tissue-specific in vitro to in vivo extrapolation approach presented in this study can be extended to cancer cells.
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Affiliation(s)
- Md Masud Parvez
- Department of Pharmaceutical Sciences, Washington State University, Spokane, Washington (M.M.P., A.B., B.P.); Departments of Chemistry, Biochemistry, and Microbiology, and the Integrated Program for Biological and Genome Sciences, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina (P.B.J., M.R.R.); SOLVO Biotechnology, Budapest, Hungary (Z.G., E.K.); and BioIVT Inc., Baltimore, Maryland (S.H.)
| | - Abdul Basit
- Department of Pharmaceutical Sciences, Washington State University, Spokane, Washington (M.M.P., A.B., B.P.); Departments of Chemistry, Biochemistry, and Microbiology, and the Integrated Program for Biological and Genome Sciences, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina (P.B.J., M.R.R.); SOLVO Biotechnology, Budapest, Hungary (Z.G., E.K.); and BioIVT Inc., Baltimore, Maryland (S.H.)
| | - Parth B Jariwala
- Department of Pharmaceutical Sciences, Washington State University, Spokane, Washington (M.M.P., A.B., B.P.); Departments of Chemistry, Biochemistry, and Microbiology, and the Integrated Program for Biological and Genome Sciences, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina (P.B.J., M.R.R.); SOLVO Biotechnology, Budapest, Hungary (Z.G., E.K.); and BioIVT Inc., Baltimore, Maryland (S.H.)
| | - Zsuzsanna Gáborik
- Department of Pharmaceutical Sciences, Washington State University, Spokane, Washington (M.M.P., A.B., B.P.); Departments of Chemistry, Biochemistry, and Microbiology, and the Integrated Program for Biological and Genome Sciences, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina (P.B.J., M.R.R.); SOLVO Biotechnology, Budapest, Hungary (Z.G., E.K.); and BioIVT Inc., Baltimore, Maryland (S.H.)
| | - Emese Kis
- Department of Pharmaceutical Sciences, Washington State University, Spokane, Washington (M.M.P., A.B., B.P.); Departments of Chemistry, Biochemistry, and Microbiology, and the Integrated Program for Biological and Genome Sciences, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina (P.B.J., M.R.R.); SOLVO Biotechnology, Budapest, Hungary (Z.G., E.K.); and BioIVT Inc., Baltimore, Maryland (S.H.)
| | - Scott Heyward
- Department of Pharmaceutical Sciences, Washington State University, Spokane, Washington (M.M.P., A.B., B.P.); Departments of Chemistry, Biochemistry, and Microbiology, and the Integrated Program for Biological and Genome Sciences, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina (P.B.J., M.R.R.); SOLVO Biotechnology, Budapest, Hungary (Z.G., E.K.); and BioIVT Inc., Baltimore, Maryland (S.H.)
| | - Matthew R Redinbo
- Department of Pharmaceutical Sciences, Washington State University, Spokane, Washington (M.M.P., A.B., B.P.); Departments of Chemistry, Biochemistry, and Microbiology, and the Integrated Program for Biological and Genome Sciences, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina (P.B.J., M.R.R.); SOLVO Biotechnology, Budapest, Hungary (Z.G., E.K.); and BioIVT Inc., Baltimore, Maryland (S.H.)
| | - Bhagwat Prasad
- Department of Pharmaceutical Sciences, Washington State University, Spokane, Washington (M.M.P., A.B., B.P.); Departments of Chemistry, Biochemistry, and Microbiology, and the Integrated Program for Biological and Genome Sciences, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina (P.B.J., M.R.R.); SOLVO Biotechnology, Budapest, Hungary (Z.G., E.K.); and BioIVT Inc., Baltimore, Maryland (S.H.)
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Gessner A, di Giuseppe R, Koch M, Fromm MF, Lieb W, Maas R. Trimethylamine-N-oxide (TMAO) determined by LC-MS/MS: distribution and correlates in the population-based PopGen cohort. Clin Chem Lab Med 2021; 58:733-740. [PMID: 32084001 DOI: 10.1515/cclm-2019-1146] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2019] [Accepted: 01/26/2020] [Indexed: 01/16/2023]
Abstract
Background Accumulating evidence indicates that trimethylamine-N-oxide (TMAO) may play a causal role in cardiovascular disease (CVD), chronic kidney disease (CKD) and type 2 diabetes (T2D). TMAO plasma concentrations show considerable intra- and inter-individual variation, underscoring the need for a reference interval in the general population to identify elevated TMAO concentrations. Methods TMAO concentrations were determined using an LC-MS/MS assay in a community-based sample of the PopGen control cohort consisting of 694 participants (54% men; aged 25-82 years) free of clinical CVD, CKD and T2D. We defined reference intervals for TMAO concentrations in human plasma using the 2.5th and 97.5th percentiles. Using multivariable regression analysis we analyzed the association of estimated glomerular filtration rate (eGFR), sex, and dietary intake and TMAO plasma concentrations. Results TMAO plasma concentrations were positively skewed and differed by sex. The median TMAO plasma concentration in men was 3.91 (Q1-Q3: 2.87-6.10) μmol/L and the reference interval 1.28-19.67 μmol/L (2.5th-97.5th percentile). In women median TMAO plasma concentration was 3.56 (Q1-Q3: 2.41-5.15) μmol/L and the reference interval 1.08-17.12 μmol/L. In multivariable regression analysis plasma TMAO was associated with sex, renal function and diet. The association of TMAO and diet was significant for intake of fish and shellfish in men only. Conclusions In a community-based sample free of apparent CVD and renal disease, we report the distribution of TMAO plasma concentrations with sex, renal function and diet as factors associated with plasma TMAO, and suggest reference intervals. These data may facilitate standardized comparisons of TMAO across populations.
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Affiliation(s)
- Arne Gessner
- Institute of Experimental and Clinical Pharmacology and Toxicology, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany
| | - Romina di Giuseppe
- Institute of Epidemiology, University Hospital of Schleswig-Holstein, Campus Kiel, Kiel, Germany
| | - Manja Koch
- Institute of Epidemiology, University Hospital of Schleswig-Holstein, Campus Kiel, Kiel, Germany
| | - Martin F Fromm
- Institute of Experimental and Clinical Pharmacology and Toxicology, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany
| | - Wolfgang Lieb
- Institute of Epidemiology, University Hospital of Schleswig-Holstein, Campus Kiel, Kiel, Germany
| | - Renke Maas
- Institute of Experimental and Clinical Pharmacology and Toxicology, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany
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Chapron BD, Chapron A, Leeder JS. Recent advances in the ontogeny of drug disposition. Br J Clin Pharmacol 2021; 88:4267-4284. [PMID: 33733546 DOI: 10.1111/bcp.14821] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2020] [Revised: 02/12/2021] [Accepted: 02/22/2021] [Indexed: 12/11/2022] Open
Abstract
Developmental changes that occur throughout childhood have long been known to impact drug disposition. However, pharmacokinetic studies in the paediatric population have historically been limited due to ethical concerns arising from incorporating children into clinical trials. As such, much of the early work in the field of developmental pharmacology was reliant on difficult-to-interpret in vitro and in vivo animal studies. Over the last 2 decades, our understanding of the mechanistic processes underlying age-related changes in drug disposition has advanced considerably. Progress has largely been driven by technological advances in mass spectrometry-based methods for quantifying proteins implicated in drug disposition, and in silico tools that leverage these data to predict age-related changes in pharmacokinetics. This review summarizes our current understanding of the impact of childhood development on drug disposition, particularly focusing on research of the past 20 years, but also highlighting select examples of earlier foundational research. Equally important to the studies reviewed herein are the areas that we cannot currently describe due to the lack of research evidence; these gaps provide a map of drug disposition pathways for which developmental trends still need to be characterized.
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Affiliation(s)
- Brian D Chapron
- Division of Clinical Pharmacology, Toxicology and Therapeutic Innovation, Department of Pediatrics, Children's Mercy Hospital, Kansas City, MO, USA
| | - Alenka Chapron
- Division of Clinical Pharmacology, Toxicology and Therapeutic Innovation, Department of Pediatrics, Children's Mercy Hospital, Kansas City, MO, USA
| | - J Steven Leeder
- Division of Clinical Pharmacology, Toxicology and Therapeutic Innovation, Department of Pediatrics, Children's Mercy Hospital, Kansas City, MO, USA.,Schools of Medicine and Pharmacy, University of Missouri-Kansas City, MO, USA
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Perez-Paramo YX, Lazarus P. Pharmacogenetics factors influencing smoking cessation success; the importance of nicotine metabolism. Expert Opin Drug Metab Toxicol 2021; 17:333-349. [PMID: 33322962 PMCID: PMC8049967 DOI: 10.1080/17425255.2021.1863948] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2020] [Accepted: 12/10/2020] [Indexed: 01/12/2023]
Abstract
Introduction: Smoking remains a worldwide epidemic, and despite an increase in public acceptance of the harms of tobacco use, it remains the leading cause of preventable death. It is estimated that up to 70% of all smokers express a desire to quit, but only 3-5% of them are successful.Areas covered: The goal of this review was to evaluate the current status of smoking cessation treatments and the feasibility of implementing personalized-medicine approaches to these pharmacotherapies. We evaluated the genetics associated with higher levels of nicotine addiction and follow with an analysis of the genetic variants that affect the nicotine metabolic ratio (NMR) and the FDA approved treatments for smoking cessation. We also highlighted the gaps in the process of translating current laboratory understanding into clinical practice, and the benefits of personalized treatment approaches for a successful smoking cessation strategy.Expert opinion: Evidence supports the use of tailored therapies to ensure that the most efficient treatments are utilized in an individual's smoking cessation efforts. An understanding of the genetic effects on the efficacy of individualized smoking cessation pharmacotherapies is key to smoking cessation, ideally utilizing a polygenetic risk score that considers all genetic variation.
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Affiliation(s)
- Yadira X. Perez-Paramo
- Department of Pharmaceutical Sciences, College of Pharmacy and Pharmaceutical Sciences, Washington State University, Spokane, Washington, USA
| | - Philip Lazarus
- Department of Pharmaceutical Sciences, College of Pharmacy and Pharmaceutical Sciences, Washington State University, Spokane, Washington, USA
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21
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Naji-Talakar S, Sharma S, Martin LA, Barnhart D, Prasad B. Potential implications of DMET ontogeny on the disposition of commonly prescribed drugs in neonatal and pediatric intensive care units. Expert Opin Drug Metab Toxicol 2021; 17:273-289. [PMID: 33256492 PMCID: PMC8346204 DOI: 10.1080/17425255.2021.1858051] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2020] [Accepted: 11/27/2020] [Indexed: 10/22/2022]
Abstract
Introduction: Pediatric patients, especially neonates and infants, are more susceptible to adverse drug events as compared to adults. In particular, immature small molecule drug metabolism and excretion can result in higher incidences of pediatric toxicity than adults if the pediatric dose is not adjusted.Area covered: We reviewed the top 29 small molecule drugs prescribed in neonatal and pediatric intensive care units and compiled the mechanisms of their metabolism and excretion. The ontogeny of Phase I and II drug metabolizing enzymes and transporters (DMETs), particularly relevant to these drugs, are summarized. The potential effects of DMET ontogeny on the metabolism and excretion of the top pediatric drugs were predicted. The current regulatory requirements and recommendations regarding safe and effective use of drugs in children are discussed. A few representative examples of the use of ontogeny-informed physiologically based pharmacokinetic (PBPK) models are highlighted.Expert opinion: Empirical prediction of pediatric drug dosing based on body weight or body-surface area from the adult parameters can be inaccurate because DMETs are not mature in children and the age-dependent maturation of these proteins is different. Ontogeny-informed-PBPK modeling provides a better alternative to predict the pharmacokinetics of drugs in children.
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Affiliation(s)
- Siavosh Naji-Talakar
- Department of Pharmaceutical Sciences, Washington State University, Spokane, WA, USA
| | - Sheena Sharma
- Pediatrics and Neonatology, Providence Sacred Heart Medical Center and Children’s Hospital, Spokane, WA, USA
| | - Leslie A. Martin
- Pediatrics and Neonatology, Providence Sacred Heart Medical Center and Children’s Hospital, Spokane, WA, USA
| | - Derek Barnhart
- Pediatrics and Neonatology, Providence Sacred Heart Medical Center and Children’s Hospital, Spokane, WA, USA
| | - Bhagwat Prasad
- Department of Pharmaceutical Sciences, Washington State University, Spokane, WA, USA
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22
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van Groen BD, Nicolaï J, Kuik AC, Van Cruchten S, van Peer E, Smits A, Schmidt S, de Wildt SN, Allegaert K, De Schaepdrijver L, Annaert P, Badée J. Ontogeny of Hepatic Transporters and Drug-Metabolizing Enzymes in Humans and in Nonclinical Species. Pharmacol Rev 2021; 73:597-678. [PMID: 33608409 DOI: 10.1124/pharmrev.120.000071] [Citation(s) in RCA: 52] [Impact Index Per Article: 17.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
Abstract
The liver represents a major eliminating and detoxifying organ, determining exposure to endogenous compounds, drugs, and other xenobiotics. Drug transporters (DTs) and drug-metabolizing enzymes (DMEs) are key determinants of disposition, efficacy, and toxicity of drugs. Changes in their mRNA and protein expression levels and associated functional activity between the perinatal period until adulthood impact drug disposition. However, high-resolution ontogeny profiles for hepatic DTs and DMEs in nonclinical species and humans are lacking. Meanwhile, increasing use of physiologically based pharmacokinetic (PBPK) models necessitates availability of underlying ontogeny profiles to reliably predict drug exposure in children. In addition, understanding of species similarities and differences in DT/DME ontogeny is crucial for selecting the most appropriate animal species when studying the impact of development on pharmacokinetics. Cross-species ontogeny mapping is also required for adequate translation of drug disposition data in developing nonclinical species to humans. This review presents a quantitative cross-species compilation of the ontogeny of DTs and DMEs relevant to hepatic drug disposition. A comprehensive literature search was conducted on PubMed Central: Tables and graphs (often after digitization) in original manuscripts were used to extract ontogeny data. Data from independent studies were standardized and normalized before being compiled in graphs and tables for further interpretation. New insights gained from these high-resolution ontogeny profiles will be indispensable to understand cross-species differences in maturation of hepatic DTs and DMEs. Integration of these ontogeny data into PBPK models will support improved predictions of pediatric hepatic drug disposition processes. SIGNIFICANCE STATEMENT: Hepatic drug transporters (DTs) and drug-metabolizing enzymes (DMEs) play pivotal roles in hepatic drug disposition. Developmental changes in expression levels and activities of these proteins drive age-dependent pharmacokinetics. This review compiles the currently available ontogeny profiles of DTs and DMEs expressed in livers of humans and nonclinical species, enabling robust interpretation of age-related changes in drug disposition and ultimately optimization of pediatric drug therapy.
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Affiliation(s)
- B D van Groen
- Intensive Care and Department of Pediatric Surgery, Erasmus MC-Sophia Children's Hospital, Rotterdam, The Netherlands (B.D.v.G., K.A.); Development Science, UCB BioPharma SRL, Braine-l'Alleud, Belgium (J.N.); Leiden Academic Center for Drug Research, Leiden University, Leiden, The Netherlands (A.C.K.); Department of Veterinary Sciences, Faculty of Pharmaceutical, Biomedical and Veterinary Sciences, University of Antwerp, Wilrijk, Belgium (S.V.C.); Fendigo sa/nvbv, An Alivira Group Company, Brussels, Belgium (E.v.P.); Department of Development and Regeneration KU Leuven, Leuven, Belgium (A.S.); Neonatal intensive care unit, University Hospitals Leuven, Leuven, Belgium (A.S.); Department of Pharmaceutics, Center for Pharmacometrics and Systems Pharmacology, College of Pharmacy, University of Florida, Orlando, Florida (S.S.); Department of Pharmacology and Toxicology, Radboud Institute of Health Sciences, Radboud University Medical Center, Nijmegen, The Netherlands (S.N.d.W.); Departments of Development and Regeneration and of Pharmaceutical and Pharmacological Sciences, KU Leuven, Leuven, Belgium (K.A.); Department of Hospital Pharmacy, Erasmus MC, University Medical Center, Rotterdam, The Netherlands (K.A.); Nonclinical Safety, Janssen R&D, Beerse, Belgium (L.D.S.); Drug Delivery and Disposition, Department of Pharmaceutical and Pharmacological Sciences, KU Leuven, Leuven, Belgium (P.A.); and Department of PK Sciences, Novartis Institutes for BioMedical Research, Basel, Switzerland (J.B.)
| | - J Nicolaï
- Intensive Care and Department of Pediatric Surgery, Erasmus MC-Sophia Children's Hospital, Rotterdam, The Netherlands (B.D.v.G., K.A.); Development Science, UCB BioPharma SRL, Braine-l'Alleud, Belgium (J.N.); Leiden Academic Center for Drug Research, Leiden University, Leiden, The Netherlands (A.C.K.); Department of Veterinary Sciences, Faculty of Pharmaceutical, Biomedical and Veterinary Sciences, University of Antwerp, Wilrijk, Belgium (S.V.C.); Fendigo sa/nvbv, An Alivira Group Company, Brussels, Belgium (E.v.P.); Department of Development and Regeneration KU Leuven, Leuven, Belgium (A.S.); Neonatal intensive care unit, University Hospitals Leuven, Leuven, Belgium (A.S.); Department of Pharmaceutics, Center for Pharmacometrics and Systems Pharmacology, College of Pharmacy, University of Florida, Orlando, Florida (S.S.); Department of Pharmacology and Toxicology, Radboud Institute of Health Sciences, Radboud University Medical Center, Nijmegen, The Netherlands (S.N.d.W.); Departments of Development and Regeneration and of Pharmaceutical and Pharmacological Sciences, KU Leuven, Leuven, Belgium (K.A.); Department of Hospital Pharmacy, Erasmus MC, University Medical Center, Rotterdam, The Netherlands (K.A.); Nonclinical Safety, Janssen R&D, Beerse, Belgium (L.D.S.); Drug Delivery and Disposition, Department of Pharmaceutical and Pharmacological Sciences, KU Leuven, Leuven, Belgium (P.A.); and Department of PK Sciences, Novartis Institutes for BioMedical Research, Basel, Switzerland (J.B.)
| | - A C Kuik
- Intensive Care and Department of Pediatric Surgery, Erasmus MC-Sophia Children's Hospital, Rotterdam, The Netherlands (B.D.v.G., K.A.); Development Science, UCB BioPharma SRL, Braine-l'Alleud, Belgium (J.N.); Leiden Academic Center for Drug Research, Leiden University, Leiden, The Netherlands (A.C.K.); Department of Veterinary Sciences, Faculty of Pharmaceutical, Biomedical and Veterinary Sciences, University of Antwerp, Wilrijk, Belgium (S.V.C.); Fendigo sa/nvbv, An Alivira Group Company, Brussels, Belgium (E.v.P.); Department of Development and Regeneration KU Leuven, Leuven, Belgium (A.S.); Neonatal intensive care unit, University Hospitals Leuven, Leuven, Belgium (A.S.); Department of Pharmaceutics, Center for Pharmacometrics and Systems Pharmacology, College of Pharmacy, University of Florida, Orlando, Florida (S.S.); Department of Pharmacology and Toxicology, Radboud Institute of Health Sciences, Radboud University Medical Center, Nijmegen, The Netherlands (S.N.d.W.); Departments of Development and Regeneration and of Pharmaceutical and Pharmacological Sciences, KU Leuven, Leuven, Belgium (K.A.); Department of Hospital Pharmacy, Erasmus MC, University Medical Center, Rotterdam, The Netherlands (K.A.); Nonclinical Safety, Janssen R&D, Beerse, Belgium (L.D.S.); Drug Delivery and Disposition, Department of Pharmaceutical and Pharmacological Sciences, KU Leuven, Leuven, Belgium (P.A.); and Department of PK Sciences, Novartis Institutes for BioMedical Research, Basel, Switzerland (J.B.)
| | - S Van Cruchten
- Intensive Care and Department of Pediatric Surgery, Erasmus MC-Sophia Children's Hospital, Rotterdam, The Netherlands (B.D.v.G., K.A.); Development Science, UCB BioPharma SRL, Braine-l'Alleud, Belgium (J.N.); Leiden Academic Center for Drug Research, Leiden University, Leiden, The Netherlands (A.C.K.); Department of Veterinary Sciences, Faculty of Pharmaceutical, Biomedical and Veterinary Sciences, University of Antwerp, Wilrijk, Belgium (S.V.C.); Fendigo sa/nvbv, An Alivira Group Company, Brussels, Belgium (E.v.P.); Department of Development and Regeneration KU Leuven, Leuven, Belgium (A.S.); Neonatal intensive care unit, University Hospitals Leuven, Leuven, Belgium (A.S.); Department of Pharmaceutics, Center for Pharmacometrics and Systems Pharmacology, College of Pharmacy, University of Florida, Orlando, Florida (S.S.); Department of Pharmacology and Toxicology, Radboud Institute of Health Sciences, Radboud University Medical Center, Nijmegen, The Netherlands (S.N.d.W.); Departments of Development and Regeneration and of Pharmaceutical and Pharmacological Sciences, KU Leuven, Leuven, Belgium (K.A.); Department of Hospital Pharmacy, Erasmus MC, University Medical Center, Rotterdam, The Netherlands (K.A.); Nonclinical Safety, Janssen R&D, Beerse, Belgium (L.D.S.); Drug Delivery and Disposition, Department of Pharmaceutical and Pharmacological Sciences, KU Leuven, Leuven, Belgium (P.A.); and Department of PK Sciences, Novartis Institutes for BioMedical Research, Basel, Switzerland (J.B.)
| | - E van Peer
- Intensive Care and Department of Pediatric Surgery, Erasmus MC-Sophia Children's Hospital, Rotterdam, The Netherlands (B.D.v.G., K.A.); Development Science, UCB BioPharma SRL, Braine-l'Alleud, Belgium (J.N.); Leiden Academic Center for Drug Research, Leiden University, Leiden, The Netherlands (A.C.K.); Department of Veterinary Sciences, Faculty of Pharmaceutical, Biomedical and Veterinary Sciences, University of Antwerp, Wilrijk, Belgium (S.V.C.); Fendigo sa/nvbv, An Alivira Group Company, Brussels, Belgium (E.v.P.); Department of Development and Regeneration KU Leuven, Leuven, Belgium (A.S.); Neonatal intensive care unit, University Hospitals Leuven, Leuven, Belgium (A.S.); Department of Pharmaceutics, Center for Pharmacometrics and Systems Pharmacology, College of Pharmacy, University of Florida, Orlando, Florida (S.S.); Department of Pharmacology and Toxicology, Radboud Institute of Health Sciences, Radboud University Medical Center, Nijmegen, The Netherlands (S.N.d.W.); Departments of Development and Regeneration and of Pharmaceutical and Pharmacological Sciences, KU Leuven, Leuven, Belgium (K.A.); Department of Hospital Pharmacy, Erasmus MC, University Medical Center, Rotterdam, The Netherlands (K.A.); Nonclinical Safety, Janssen R&D, Beerse, Belgium (L.D.S.); Drug Delivery and Disposition, Department of Pharmaceutical and Pharmacological Sciences, KU Leuven, Leuven, Belgium (P.A.); and Department of PK Sciences, Novartis Institutes for BioMedical Research, Basel, Switzerland (J.B.)
| | - A Smits
- Intensive Care and Department of Pediatric Surgery, Erasmus MC-Sophia Children's Hospital, Rotterdam, The Netherlands (B.D.v.G., K.A.); Development Science, UCB BioPharma SRL, Braine-l'Alleud, Belgium (J.N.); Leiden Academic Center for Drug Research, Leiden University, Leiden, The Netherlands (A.C.K.); Department of Veterinary Sciences, Faculty of Pharmaceutical, Biomedical and Veterinary Sciences, University of Antwerp, Wilrijk, Belgium (S.V.C.); Fendigo sa/nvbv, An Alivira Group Company, Brussels, Belgium (E.v.P.); Department of Development and Regeneration KU Leuven, Leuven, Belgium (A.S.); Neonatal intensive care unit, University Hospitals Leuven, Leuven, Belgium (A.S.); Department of Pharmaceutics, Center for Pharmacometrics and Systems Pharmacology, College of Pharmacy, University of Florida, Orlando, Florida (S.S.); Department of Pharmacology and Toxicology, Radboud Institute of Health Sciences, Radboud University Medical Center, Nijmegen, The Netherlands (S.N.d.W.); Departments of Development and Regeneration and of Pharmaceutical and Pharmacological Sciences, KU Leuven, Leuven, Belgium (K.A.); Department of Hospital Pharmacy, Erasmus MC, University Medical Center, Rotterdam, The Netherlands (K.A.); Nonclinical Safety, Janssen R&D, Beerse, Belgium (L.D.S.); Drug Delivery and Disposition, Department of Pharmaceutical and Pharmacological Sciences, KU Leuven, Leuven, Belgium (P.A.); and Department of PK Sciences, Novartis Institutes for BioMedical Research, Basel, Switzerland (J.B.)
| | - S Schmidt
- Intensive Care and Department of Pediatric Surgery, Erasmus MC-Sophia Children's Hospital, Rotterdam, The Netherlands (B.D.v.G., K.A.); Development Science, UCB BioPharma SRL, Braine-l'Alleud, Belgium (J.N.); Leiden Academic Center for Drug Research, Leiden University, Leiden, The Netherlands (A.C.K.); Department of Veterinary Sciences, Faculty of Pharmaceutical, Biomedical and Veterinary Sciences, University of Antwerp, Wilrijk, Belgium (S.V.C.); Fendigo sa/nvbv, An Alivira Group Company, Brussels, Belgium (E.v.P.); Department of Development and Regeneration KU Leuven, Leuven, Belgium (A.S.); Neonatal intensive care unit, University Hospitals Leuven, Leuven, Belgium (A.S.); Department of Pharmaceutics, Center for Pharmacometrics and Systems Pharmacology, College of Pharmacy, University of Florida, Orlando, Florida (S.S.); Department of Pharmacology and Toxicology, Radboud Institute of Health Sciences, Radboud University Medical Center, Nijmegen, The Netherlands (S.N.d.W.); Departments of Development and Regeneration and of Pharmaceutical and Pharmacological Sciences, KU Leuven, Leuven, Belgium (K.A.); Department of Hospital Pharmacy, Erasmus MC, University Medical Center, Rotterdam, The Netherlands (K.A.); Nonclinical Safety, Janssen R&D, Beerse, Belgium (L.D.S.); Drug Delivery and Disposition, Department of Pharmaceutical and Pharmacological Sciences, KU Leuven, Leuven, Belgium (P.A.); and Department of PK Sciences, Novartis Institutes for BioMedical Research, Basel, Switzerland (J.B.)
| | - S N de Wildt
- Intensive Care and Department of Pediatric Surgery, Erasmus MC-Sophia Children's Hospital, Rotterdam, The Netherlands (B.D.v.G., K.A.); Development Science, UCB BioPharma SRL, Braine-l'Alleud, Belgium (J.N.); Leiden Academic Center for Drug Research, Leiden University, Leiden, The Netherlands (A.C.K.); Department of Veterinary Sciences, Faculty of Pharmaceutical, Biomedical and Veterinary Sciences, University of Antwerp, Wilrijk, Belgium (S.V.C.); Fendigo sa/nvbv, An Alivira Group Company, Brussels, Belgium (E.v.P.); Department of Development and Regeneration KU Leuven, Leuven, Belgium (A.S.); Neonatal intensive care unit, University Hospitals Leuven, Leuven, Belgium (A.S.); Department of Pharmaceutics, Center for Pharmacometrics and Systems Pharmacology, College of Pharmacy, University of Florida, Orlando, Florida (S.S.); Department of Pharmacology and Toxicology, Radboud Institute of Health Sciences, Radboud University Medical Center, Nijmegen, The Netherlands (S.N.d.W.); Departments of Development and Regeneration and of Pharmaceutical and Pharmacological Sciences, KU Leuven, Leuven, Belgium (K.A.); Department of Hospital Pharmacy, Erasmus MC, University Medical Center, Rotterdam, The Netherlands (K.A.); Nonclinical Safety, Janssen R&D, Beerse, Belgium (L.D.S.); Drug Delivery and Disposition, Department of Pharmaceutical and Pharmacological Sciences, KU Leuven, Leuven, Belgium (P.A.); and Department of PK Sciences, Novartis Institutes for BioMedical Research, Basel, Switzerland (J.B.)
| | - K Allegaert
- Intensive Care and Department of Pediatric Surgery, Erasmus MC-Sophia Children's Hospital, Rotterdam, The Netherlands (B.D.v.G., K.A.); Development Science, UCB BioPharma SRL, Braine-l'Alleud, Belgium (J.N.); Leiden Academic Center for Drug Research, Leiden University, Leiden, The Netherlands (A.C.K.); Department of Veterinary Sciences, Faculty of Pharmaceutical, Biomedical and Veterinary Sciences, University of Antwerp, Wilrijk, Belgium (S.V.C.); Fendigo sa/nvbv, An Alivira Group Company, Brussels, Belgium (E.v.P.); Department of Development and Regeneration KU Leuven, Leuven, Belgium (A.S.); Neonatal intensive care unit, University Hospitals Leuven, Leuven, Belgium (A.S.); Department of Pharmaceutics, Center for Pharmacometrics and Systems Pharmacology, College of Pharmacy, University of Florida, Orlando, Florida (S.S.); Department of Pharmacology and Toxicology, Radboud Institute of Health Sciences, Radboud University Medical Center, Nijmegen, The Netherlands (S.N.d.W.); Departments of Development and Regeneration and of Pharmaceutical and Pharmacological Sciences, KU Leuven, Leuven, Belgium (K.A.); Department of Hospital Pharmacy, Erasmus MC, University Medical Center, Rotterdam, The Netherlands (K.A.); Nonclinical Safety, Janssen R&D, Beerse, Belgium (L.D.S.); Drug Delivery and Disposition, Department of Pharmaceutical and Pharmacological Sciences, KU Leuven, Leuven, Belgium (P.A.); and Department of PK Sciences, Novartis Institutes for BioMedical Research, Basel, Switzerland (J.B.)
| | - L De Schaepdrijver
- Intensive Care and Department of Pediatric Surgery, Erasmus MC-Sophia Children's Hospital, Rotterdam, The Netherlands (B.D.v.G., K.A.); Development Science, UCB BioPharma SRL, Braine-l'Alleud, Belgium (J.N.); Leiden Academic Center for Drug Research, Leiden University, Leiden, The Netherlands (A.C.K.); Department of Veterinary Sciences, Faculty of Pharmaceutical, Biomedical and Veterinary Sciences, University of Antwerp, Wilrijk, Belgium (S.V.C.); Fendigo sa/nvbv, An Alivira Group Company, Brussels, Belgium (E.v.P.); Department of Development and Regeneration KU Leuven, Leuven, Belgium (A.S.); Neonatal intensive care unit, University Hospitals Leuven, Leuven, Belgium (A.S.); Department of Pharmaceutics, Center for Pharmacometrics and Systems Pharmacology, College of Pharmacy, University of Florida, Orlando, Florida (S.S.); Department of Pharmacology and Toxicology, Radboud Institute of Health Sciences, Radboud University Medical Center, Nijmegen, The Netherlands (S.N.d.W.); Departments of Development and Regeneration and of Pharmaceutical and Pharmacological Sciences, KU Leuven, Leuven, Belgium (K.A.); Department of Hospital Pharmacy, Erasmus MC, University Medical Center, Rotterdam, The Netherlands (K.A.); Nonclinical Safety, Janssen R&D, Beerse, Belgium (L.D.S.); Drug Delivery and Disposition, Department of Pharmaceutical and Pharmacological Sciences, KU Leuven, Leuven, Belgium (P.A.); and Department of PK Sciences, Novartis Institutes for BioMedical Research, Basel, Switzerland (J.B.)
| | - P Annaert
- Intensive Care and Department of Pediatric Surgery, Erasmus MC-Sophia Children's Hospital, Rotterdam, The Netherlands (B.D.v.G., K.A.); Development Science, UCB BioPharma SRL, Braine-l'Alleud, Belgium (J.N.); Leiden Academic Center for Drug Research, Leiden University, Leiden, The Netherlands (A.C.K.); Department of Veterinary Sciences, Faculty of Pharmaceutical, Biomedical and Veterinary Sciences, University of Antwerp, Wilrijk, Belgium (S.V.C.); Fendigo sa/nvbv, An Alivira Group Company, Brussels, Belgium (E.v.P.); Department of Development and Regeneration KU Leuven, Leuven, Belgium (A.S.); Neonatal intensive care unit, University Hospitals Leuven, Leuven, Belgium (A.S.); Department of Pharmaceutics, Center for Pharmacometrics and Systems Pharmacology, College of Pharmacy, University of Florida, Orlando, Florida (S.S.); Department of Pharmacology and Toxicology, Radboud Institute of Health Sciences, Radboud University Medical Center, Nijmegen, The Netherlands (S.N.d.W.); Departments of Development and Regeneration and of Pharmaceutical and Pharmacological Sciences, KU Leuven, Leuven, Belgium (K.A.); Department of Hospital Pharmacy, Erasmus MC, University Medical Center, Rotterdam, The Netherlands (K.A.); Nonclinical Safety, Janssen R&D, Beerse, Belgium (L.D.S.); Drug Delivery and Disposition, Department of Pharmaceutical and Pharmacological Sciences, KU Leuven, Leuven, Belgium (P.A.); and Department of PK Sciences, Novartis Institutes for BioMedical Research, Basel, Switzerland (J.B.)
| | - J Badée
- Intensive Care and Department of Pediatric Surgery, Erasmus MC-Sophia Children's Hospital, Rotterdam, The Netherlands (B.D.v.G., K.A.); Development Science, UCB BioPharma SRL, Braine-l'Alleud, Belgium (J.N.); Leiden Academic Center for Drug Research, Leiden University, Leiden, The Netherlands (A.C.K.); Department of Veterinary Sciences, Faculty of Pharmaceutical, Biomedical and Veterinary Sciences, University of Antwerp, Wilrijk, Belgium (S.V.C.); Fendigo sa/nvbv, An Alivira Group Company, Brussels, Belgium (E.v.P.); Department of Development and Regeneration KU Leuven, Leuven, Belgium (A.S.); Neonatal intensive care unit, University Hospitals Leuven, Leuven, Belgium (A.S.); Department of Pharmaceutics, Center for Pharmacometrics and Systems Pharmacology, College of Pharmacy, University of Florida, Orlando, Florida (S.S.); Department of Pharmacology and Toxicology, Radboud Institute of Health Sciences, Radboud University Medical Center, Nijmegen, The Netherlands (S.N.d.W.); Departments of Development and Regeneration and of Pharmaceutical and Pharmacological Sciences, KU Leuven, Leuven, Belgium (K.A.); Department of Hospital Pharmacy, Erasmus MC, University Medical Center, Rotterdam, The Netherlands (K.A.); Nonclinical Safety, Janssen R&D, Beerse, Belgium (L.D.S.); Drug Delivery and Disposition, Department of Pharmaceutical and Pharmacological Sciences, KU Leuven, Leuven, Belgium (P.A.); and Department of PK Sciences, Novartis Institutes for BioMedical Research, Basel, Switzerland (J.B.)
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A combined in vitro in-silico approach to predict the oral bioavailability of borderline BCS Class II/IV weak base albendazole and its main metabolite albendazole sulfoxide. Eur J Pharm Sci 2020; 155:105552. [PMID: 32937212 DOI: 10.1016/j.ejps.2020.105552] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2020] [Revised: 08/28/2020] [Accepted: 09/11/2020] [Indexed: 12/17/2022]
Abstract
The aim of this study was to use a combined in vitro-in silico approach to develop a physiologically based pharmacokinetic model (PBPK) that predicts the bioavailability of albendazole (ABZ), a BCS class II/IV lipophilic weak base, and simulates its main metabolite albendazole sulphoxide (ABZSO) after oral administration of the current marketed dose of 400 mg in the fasted state. In vitro data was collected from solubility and dissolution tests performed with biorelevant media and transfer tests were carried out to evaluate the supersaturation and precipitation characteristics of ABZ upon gastric emptying. These in vitro results were used as biopharmaceutical inputs together with ABZ physicochemical properties including also permeability and in vitro metabolism data and information gathered from different clinical trials reported in the literature, were used to enable PBPK models to be developed using GastroPlus™ (version 9.7). As expected for this weak base with pKa = 3.6, ABZ exhibited a pronounced pH dependent solubility, with the solubility and extent of dissolution being greater at gastric pH and dropping significantly in the intestinal environment suggesting supersaturation and precipitation upon gastric emptying, which was confirmed by the transfer model experiments. PBPK models were set up for heathy volunteers using a full PBPK modeling approach and by implementing dynamic fluid volumes in the ACAT gut physiology in GastroPlus™. When coupling in vitro data (solubility values, dissolution rate and precipitation rate constant, etc.) for ABZ and with fitted values for the Vdss and liver systemic clearance of the sulfoxide metabolite to the PBPK model, the simulated profiles successfully predicated plasma concentrations of ABZ at 400 mg dose and simulated ABZSO at different ABZ dose levels and with different study populations, indicating the usefulness of combing in vitro biorelevant tools with PBPK modeling for the accurate prediction of ABZ bioavailability. The results obtained in this study also helped confirm that ABZ behaves as a BCS class IV compound.
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Sharma S, Suresh Ahire D, Prasad B. Utility of Quantitative Proteomics for Enhancing the Predictive Ability of Physiologically Based Pharmacokinetic Models Across Disease States. J Clin Pharmacol 2020; 60 Suppl 1:S17-S35. [DOI: 10.1002/jcph.1709] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2020] [Accepted: 07/09/2020] [Indexed: 12/13/2022]
Affiliation(s)
- Sheena Sharma
- Department of Pharmaceutical Sciences Washington State University Spokane Washington USA
| | - Deepak Suresh Ahire
- Department of Pharmaceutical Sciences Washington State University Spokane Washington USA
| | - Bhagwat Prasad
- Department of Pharmaceutical Sciences Washington State University Spokane Washington USA
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25
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Trimethylamine N-oxide and the reverse cholesterol transport in cardiovascular disease: a cross-sectional study. Sci Rep 2020; 10:18675. [PMID: 33122777 PMCID: PMC7596051 DOI: 10.1038/s41598-020-75633-1] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2020] [Accepted: 10/19/2020] [Indexed: 12/14/2022] Open
Abstract
The early atherosclerotic lesions develop by the accumulation of arterial foam cells derived mainly from cholesterol-loaded macrophages. Therefore, cholesterol and cholesteryl ester transfer protein (CETP) have been considered as causative in atherosclerosis. Moreover, recent studies indicate the role of trimethylamine N-oxide (TMAO) in development of cardiovascular disease (CVD). The current study aimed to investigate the association between TMAO and CETP polymorphisms (rs12720922 and rs247616), previously identified as a genetic determinant of circulating CETP, in a population of coronary artery disease (CAD) patients (n = 394) and control subjects (n = 153). We also considered age, sex, trimethylamine (TMA) levels and glomerular filtration rate (GFR) as other factors that can potentially play a role in this complex picture. We found no association of TMAO with genetically determined CETP in a population of CAD patients and control subjects. Moreover, we noticed no differences between CAD patients and control subjects in plasma TMAO levels. On the contrary, lower levels of TMA in CAD patients respect to controls were observed. Our results indicated a significant correlation between GFR and TMAO, but not TMA. The debate whether TMAO can be a harmful, diagnostic or protective marker in CVD needs to be continued.
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26
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Sawicka AK, Renzi G, Olek RA. The bright and the dark sides of L-carnitine supplementation: a systematic review. J Int Soc Sports Nutr 2020; 17:49. [PMID: 32958033 PMCID: PMC7507632 DOI: 10.1186/s12970-020-00377-2] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2020] [Accepted: 09/04/2020] [Indexed: 12/16/2022] Open
Abstract
Background L-carnitine (LC) is used as a supplement by recreationally-active, competitive and highly trained athletes. This systematic review aims to evaluate the effect of prolonged LC supplementation on metabolism and metabolic modifications. Methods A literature search was conducted in the MEDLINE (via PubMed) and Web of Science databases from the inception up February 2020. Eligibility criteria included studies on healthy human subjects, treated for at least 12 weeks with LC administered orally, with no drugs or any other multi-ingredient supplements co-ingestion. Results The initial search retrieved 1024 articles, and a total of 11 studies were finally included after applying inclusion and exclusion criteria. All the selected studies were conducted with healthy human subjects, with supplemented dose ranging from 1 g to 4 g per day for either 12 or 24 weeks. LC supplementation, in combination with carbohydrates (CHO) effectively elevated total carnitine content in skeletal muscle. Twenty-four-weeks of LC supplementation did not affect muscle strength in healthy aged women, but significantly increased muscle mass, improved physical effort tolerance and cognitive function in centenarians. LC supplementation was also noted to induce an increase of fasting plasma trimethylamine-N-oxide (TMAO) levels, which was not associated with modification of determined inflammatory nor oxidative stress markers. Conclusion Prolonged LC supplementation in specific conditions may affect physical performance. On the other hand, LC supplementation elevates fasting plasma TMAO, compound supposed to be pro-atherogenic. Therefore, additional studies focusing on long-term supplementation and its longitudinal effect on the cardiovascular system are needed.
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Affiliation(s)
- Angelika K Sawicka
- Department of Human Physiology, Faculty of Health Sciences, Medical University of Gdansk, 80-210, Gdansk, Poland
| | | | - Robert A Olek
- Department of Athletics, Strength and Conditioning, Poznan University of Physical Education, Krolowej Jadwigi 27/39, 61-871, Poznan, Poland.
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27
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Allegaert K, van den Anker J. Ontogeny of Phase I Metabolism of Drugs. J Clin Pharmacol 2020; 59 Suppl 1:S33-S41. [PMID: 31502685 DOI: 10.1002/jcph.1483] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2019] [Accepted: 06/17/2019] [Indexed: 12/17/2022]
Abstract
Capturing ontogeny of enzymes involved in phase I metabolism is crucial to improve prediction of dose-concentration and concentration-effect relationships throughout infancy and childhood. Once captured, these patterns can be integrated in semiphysiologically or physiology-based pharmacokinetic models to support predictions in specific pediatric settings or to support pediatric drug development. Although these translational efforts are crucial, isoenzyme-specific ontogeny-based models should also incorporate data on variability of maturational and nonmaturational covariates (eg, disease, treatment modalities, pharmacogenetics). Therefore, this review provides a summary of the ontogeny of phase I drug-metabolizing enzymes, indicating current knowledge gaps and recent progresses. Furthermore, we tried to illustrate that straightforward translation of isoenzyme-specific ontogeny to predictions does not allow full exploration of scenarios of potential variability related to maturational (non-age-related variability, other isoenzymes or transporters) or nonmaturational (disease, pharmacogenetics) covariates, and necessitates integration in a "systems" concept.
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Affiliation(s)
- Karel Allegaert
- Department of Pediatrics, Division of Neonatology, Erasmus MC-Sophia Children's Hospital, Rotterdam, The Netherlands
- Department of Development and Regeneration, KU Leuven, Leuven, Belgium
| | - John van den Anker
- Division of Clinical Pharmacology, Children's National Health System, Washington, DC, USA
- Division of Paediatric Pharmacology and Pharmacometrics, University of Basel Children's Hospital, Basel, Switzerland
- Intensive Care and Department of Pediatric Surgery, Erasmus Medical Center-Sophia Children's Hospital, Rotterdam, The Netherlands
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28
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Abstract
We critically review potential involvement of trimethylamine N-oxide (TMAO) as a link between diet, the gut microbiota and CVD. Generated primarily from dietary choline and carnitine by gut bacteria and hepatic flavin-containing mono-oxygenase (FMO) activity, TMAO could promote cardiometabolic disease when chronically elevated. However, control of circulating TMAO is poorly understood, and diet, age, body mass, sex hormones, renal clearance, FMO3 expression and genetic background may explain as little as 25 % of TMAO variance. The basis of elevations with obesity, diabetes, atherosclerosis or CHD is similarly ill-defined, although gut microbiota profiles/remodelling appear critical. Elevated TMAO could promote CVD via inflammation, oxidative stress, scavenger receptor up-regulation, reverse cholesterol transport (RCT) inhibition, and cardiovascular dysfunction. However, concentrations influencing inflammation, scavenger receptors and RCT (≥100 µm) are only achieved in advanced heart failure or chronic kidney disease (CKD), and greatly exceed pathogenicity of <1-5 µm levels implied in some TMAO-CVD associations. There is also evidence that CVD risk is insensitive to TMAO variance beyond these levels in omnivores and vegetarians, and that major TMAO sources are cardioprotective. Assessing available evidence suggests that modest elevations in TMAO (≤10 µm) are a non-pathogenic consequence of diverse risk factors (ageing, obesity, dyslipidaemia, insulin resistance/diabetes, renal dysfunction), indirectly reflecting CVD risk without participating mechanistically. Nonetheless, TMAO may surpass a pathogenic threshold as a consequence of CVD/CKD, secondarily promoting disease progression. TMAO might thus reflect early CVD risk while providing a prognostic biomarker or secondary target in established disease, although mechanistic contributions to CVD await confirmation.
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29
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Patanè S. Long-Term Changes in Gut Microbial Metabolite TMAO, CHD Risk, and its Complex Regulatory Network. J Am Coll Cardiol 2020; 75:3100-3101. [PMID: 32553264 DOI: 10.1016/j.jacc.2020.03.077] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/25/2020] [Accepted: 03/01/2020] [Indexed: 11/17/2022]
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30
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CYP2J2 Modulates Diverse Transcriptional Programs in Adult Human Cardiomyocytes. Sci Rep 2020; 10:5329. [PMID: 32210298 PMCID: PMC7093536 DOI: 10.1038/s41598-020-62174-w] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2020] [Accepted: 03/06/2020] [Indexed: 01/05/2023] Open
Abstract
CYP2J2, a member of the Cytochrome P450 family of enzymes, is the most abundant epoxygenase in the heart and has multifunctional properties including bioactivation of arachidonic acid to epoxyeicosatrienoic acids, which, in turn, have been implicated in mediating several cardiovascular conditions. Using a proteomic approach, we found that CYP2J2 expression is lower in cardiac tissue from patients with cardiomyopathy compared to controls. In order to better elucidate the complex role played by CYP2J2 in cardiac cells, we performed targeted silencing of CYP2J2 expression in human adult ventricular cardiomyocytes and interrogated whole genome transcriptional responses. We found that knockdown of CYP2J2 elicits widespread alterations in gene expression of ventricular cardiomyocytes and leads to the activation of a diverse repertoire of programs, including those involved in ion channel signaling, development, extracellular matrix, and metabolism. Several members of the differentially up-regulated ion channel module have well-known pathogenetic roles in cardiac dysrhythmias. By leveraging causal network and upstream regulator analysis, we identified several candidate drivers of the observed transcriptional response to CYP2J2 silencing; these master regulators have been implicated in aberrant cardiac remodeling, heart failure, and myocyte injury and repair. Collectively, our study demonstrates that CYP2J2 plays a central and multifaceted role in cardiomyocyte homeostasis and provides a framework for identifying critical regulators and pathways influenced by this gene in cardiovascular health and disease.
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31
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Guo D, Shen Y, Li W, Li Q, Miao Y, Zhong Y. Upregulation of flavin-containing monooxygenase 3 mimics calorie restriction to retard liver aging by inducing autophagy. Aging (Albany NY) 2020; 12:931-944. [PMID: 31927537 PMCID: PMC6977670 DOI: 10.18632/aging.102666] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2019] [Accepted: 12/24/2019] [Indexed: 02/06/2023]
Abstract
Flavin-containing monooxygenase 3 (FMO3) gene expression is often upregulated in long-lived murine models. However, the specific relationship between FMO3 and aging remains unknown. Here, we show that 40% calorie restriction (CR), which is considered to be one of the most robust interventions to delay aging progression, markedly upregulates FMO3. Most importantly, upregulation of hepatocyte FMO3 in murine models prevented or reversed hepatic aging. Accordingly, the upregulation of FMO3 mimicked the effects of CR: reduced serum levels of pro-inflammatory cytokine interleukin-6 and fasting insulin; relief of oxidative stress, with lower hepatic malondialdehyde levels and higher superoxide dismutase activity; reduced serum and hepatic levels of total cholesterol and triglyceride, as well as reduced lipid deposition in the liver; and diminished levels of aging-related markers β-gal and p16. There were also synergistic effects between FMO3 upregulation and CR. Inhibition of autophagy blocked the anti-aging effects of upregulation of hepatocyte FMO3, including reversing the amelioration of the serum and hepatic parameters related to inflammation, oxidative stress, lipid metabolism, liver function, and hepatocyte senescence. Our results suggest that the upregulation of FMO3 mimics CR to prevent or reverse hepatic aging by promoting autophagy.
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Affiliation(s)
- Donghao Guo
- Department of Geriatrics, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China.,Department of Medicine and Therapeutics, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong
| | - Yun Shen
- Department of Geriatrics, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China
| | - Wei Li
- Department of Geriatrics, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China
| | - Qinjie Li
- Department of Geriatrics, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China
| | - Ya Miao
- Department of Geriatrics, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China
| | - Yuan Zhong
- Department of Geriatrics, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China
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32
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Ren W, Zhou C, Liu Y, Su K, Jia L, Chen L, Li M, Ma J, Zhou W, Zhang S, Zhang D, Cong Z, Niu X, Zhang S, Shen L, Huai C, Sun X, Li G, Qin S, Guo L. Genetic associations of docetaxel-based chemotherapy-induced myelosuppression in Chinese Han population. J Clin Pharm Ther 2019; 45:354-364. [PMID: 31778586 DOI: 10.1111/jcpt.13084] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2019] [Accepted: 11/07/2019] [Indexed: 01/22/2023]
Abstract
WHAT IS KNOWN AND OBJECTIVE Myelosuppression, an adverse drug reaction (ADR), often causes medical treatment termination in cancer patients. It has been known that genetic components, such as single-nucleotide polymorphisms (SNPs), influence the risk of myelosuppression at the individual-patient level. However, due to ethnic variation in frequency of genetic polymorphisms, results reported in Caucasian patients may not be generalizable to the Chinese Han population. Until now, few researches on myelosuppression included Chinese Han patients. In this study, we conducted a systematic study of potential biomarkers for docetaxel-induced myelosuppression in Han Chinese patients. METHODS We examined 61 SNPs in 36 genes that code for drug transporters, metabolism enzymes, nuclear receptors and DNA repair pathway in 110 Chinese Han patients receiving docetaxel-based chemotherapy. Genotyping was conducted using the Sequenom MassARRAY system. Significant SNPs were identified by logistic regression, and gene-gene interactions were investigated by generalized multifactor dimensionality reduction (GMDR) analysis. RESULTS AND DISCUSSION Our results revealed that 11 SNPs in nine genes (SLC15A1, SLCO1A2, CYP2D6, FMO3, UGT1A1, NAT2, SULT2A1, PXR and HNF4α) were associated with docetaxel-induced myelosuppression. GMDR analyses suggested that a 3-locus model: SLC15A1 rs2297322-PXR rs3732359-FMO3 rs2266782 was an appropriate predictive model of docetaxel-induced myelosuppression (P = .017, Testing Bal.Acc = 0.653, CV Consistency = 10/10). WHAT IS NEW AND CONCLUSION Our findings suggest multiple novel predictive biomarkers of docetaxel-induced myelosuppression: SLC15A1 rs2297322, PXR rs3732359 and FMO3 rs2266782. These discoveries should help in advancing future personalized therapy of docetaxel-based chemotherapy specific to Chinese Han patients.
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Affiliation(s)
- Weihua Ren
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), Shanghai Jiao Tong University, Shanghai, China.,Clinical Laboratory Center, Luoyang Central Hospital Affiliated to Zhengzhou University, Luoyang, China
| | - Chenxi Zhou
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), Shanghai Jiao Tong University, Shanghai, China
| | - Yedong Liu
- The Fourth People's Hospital of Jinan City, Taishan Medical College, Jinan, China
| | - Keli Su
- The Fourth People's Hospital of Jinan City, Taishan Medical College, Jinan, China
| | - Li Jia
- The Fourth People's Hospital of Jinan City, Taishan Medical College, Jinan, China
| | - Luan Chen
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), Shanghai Jiao Tong University, Shanghai, China
| | - Mo Li
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), Shanghai Jiao Tong University, Shanghai, China
| | - Jingsong Ma
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), Shanghai Jiao Tong University, Shanghai, China
| | - Wei Zhou
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), Shanghai Jiao Tong University, Shanghai, China
| | - Suli Zhang
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), Shanghai Jiao Tong University, Shanghai, China
| | - Di Zhang
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), Shanghai Jiao Tong University, Shanghai, China.,Life Science College, Anhui Medical University, Anhui, China
| | - Zhiliang Cong
- The Fourth People's Hospital of Jinan City, Taishan Medical College, Jinan, China
| | - Xuecai Niu
- The Fourth People's Hospital of Jinan City, Taishan Medical College, Jinan, China
| | - Shengui Zhang
- The Fourth People's Hospital of Jinan City, Taishan Medical College, Jinan, China
| | - Lu Shen
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), Shanghai Jiao Tong University, Shanghai, China
| | - Cong Huai
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), Shanghai Jiao Tong University, Shanghai, China
| | - Xiaofang Sun
- The Third Affiliated Hospital, Guangzhou Medical University, Guangzhou, China
| | - Guorong Li
- Shandong Normal University, Jinan, China
| | - Shengying Qin
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), Shanghai Jiao Tong University, Shanghai, China.,The Third Affiliated Hospital, Guangzhou Medical University, Guangzhou, China
| | - Liang Guo
- The Fourth People's Hospital of Jinan City, Taishan Medical College, Jinan, China
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Nguyen PTT, Parvez MM, Kim MJ, Yoo SE, Ahn S, Ghim JL, Shin JG. Physiologically Based Pharmacokinetic Modeling Approach to Predict Drug-Drug Interactions With Ethionamide Involving Impact of Genetic Polymorphism on FMO3. J Clin Pharmacol 2019; 59:880-889. [PMID: 30690726 DOI: 10.1002/jcph.1378] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2018] [Accepted: 01/02/2019] [Indexed: 11/06/2022]
Abstract
The widely used second-line antituberculosis drug ethionamide shows wide interindividual variability in its disposition; however, the relevant factors affecting this phenomenon have not been characterized. We previously reported the major contribution of flavin-containing monooxygenase 3 (FMO3) in the reductive elimination pathway of ethionamide. In this study, ethionamide metabolism was potentially inhibited by methimazole in vitro. The drug-drug interaction leading to methimazole affecting the disposition of ethionamide mediated by FMO3 was then quantitated using a bottom-up approach with a physiologically based pharmacokinetic framework. The maximum concentration (Cmax ) and area under the curve (AUC) of ethionamide were estimated to increase by 13% and 16%, respectively, when coadministered with methimazole. Subsequently, we explored the effect of FMO3 genetic polymorphism on metabolic capacity, by constructing 2 common functional variants, Lys158 -FMO3 and Gly308 -FMO3. Compared to the wild type, recombinant Lys158 -FMO3 and Gly308 -FMO3 variants significantly decreased the intrinsic clearance of ethionamide by 2% and 24%, respectively. Two prevalent functional variants of FMO3 were predicted to affect ethionamide disposition, with mean ratios of Cmax and AUC of up to 1.5 and 1.7, respectively, in comparison with the wild type. In comparing single ethionamide administration with the wild type, simulations of the combined effects of comedications and FMO3 genetic polymorphism estimated that the Cmax and AUC ratios of ethionamide increased up to 1.7 and 2.0, respectively. These findings suggested that FMO3-mediated drug-drug interaction and genetic polymorphism could be important determinants of interindividual heterogeneity in ethionamide disposition that need to be considered comprehensively to optimize the personalized dosing of ethionamide.
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Affiliation(s)
- Phuong Thi Thu Nguyen
- Department of Pharmacology and Clinical Pharmacology, PharmacoGenomics Research Center, Inje University College of Medicine, Busan, Republic of Korea.,Center for Personalized Precision Medicine of Tuberculosis, Inje University College of Medicine, Busan, Republic of Korea.,Faculty of Pharmacy, Hai Phong University of Medicine and Pharmacy, Hai Phong, Vietnam
| | - Md Masud Parvez
- Department of Pharmacology and Clinical Pharmacology, PharmacoGenomics Research Center, Inje University College of Medicine, Busan, Republic of Korea.,Center for Personalized Precision Medicine of Tuberculosis, Inje University College of Medicine, Busan, Republic of Korea
| | - Min Jung Kim
- Department of Pharmacology and Clinical Pharmacology, PharmacoGenomics Research Center, Inje University College of Medicine, Busan, Republic of Korea.,Center for Personalized Precision Medicine of Tuberculosis, Inje University College of Medicine, Busan, Republic of Korea
| | - Sung Eun Yoo
- Department of Pharmacology and Clinical Pharmacology, PharmacoGenomics Research Center, Inje University College of Medicine, Busan, Republic of Korea.,Center for Personalized Precision Medicine of Tuberculosis, Inje University College of Medicine, Busan, Republic of Korea
| | - Sangzin Ahn
- Department of Pharmacology and Clinical Pharmacology, PharmacoGenomics Research Center, Inje University College of Medicine, Busan, Republic of Korea.,Center for Personalized Precision Medicine of Tuberculosis, Inje University College of Medicine, Busan, Republic of Korea
| | - Jong-Lyul Ghim
- Department of Pharmacology and Clinical Pharmacology, PharmacoGenomics Research Center, Inje University College of Medicine, Busan, Republic of Korea.,Center for Personalized Precision Medicine of Tuberculosis, Inje University College of Medicine, Busan, Republic of Korea.,Department of Clinical Pharmacology, Inje University Busan Paik Hospital, Busan, Republic of Korea
| | - Jae-Gook Shin
- Department of Pharmacology and Clinical Pharmacology, PharmacoGenomics Research Center, Inje University College of Medicine, Busan, Republic of Korea.,Center for Personalized Precision Medicine of Tuberculosis, Inje University College of Medicine, Busan, Republic of Korea.,Department of Clinical Pharmacology, Inje University Busan Paik Hospital, Busan, Republic of Korea
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34
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Bhatt DK, Mehrotra A, Gaedigk A, Chapa R, Basit A, Zhang H, Choudhari P, Boberg M, Pearce RE, Gaedigk R, Broeckel U, Leeder JS, Prasad B. Age- and Genotype-Dependent Variability in the Protein Abundance and Activity of Six Major Uridine Diphosphate-Glucuronosyltransferases in Human Liver. Clin Pharmacol Ther 2019; 105:131-141. [PMID: 29737521 PMCID: PMC6222000 DOI: 10.1002/cpt.1109] [Citation(s) in RCA: 74] [Impact Index Per Article: 14.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2017] [Revised: 04/30/2018] [Accepted: 05/01/2018] [Indexed: 02/06/2023]
Abstract
The ontogeny of hepatic uridine diphosphate-glucuronosyltransferases (UGTs) was investigated by determining their protein abundance in human liver microsomes isolated from 136 pediatric (0-18 years) and 35 adult (age >18 years) donors using liquid chromatography / tandem mass spectrometry (LC-MS/MS) proteomics. Microsomal protein abundances of UGT1A1, UGT1A4, UGT1A6, UGT1A9, UGT2B7, and UGT2B15 increased by ∼8, 55, 35, 33, 8, and 3-fold from neonates to adults, respectively. The estimated age at which 50% of the adult protein abundance is observed for these UGT isoforms was between 2.6-10.3 years. Measured in vitro activity was generally consistent with the protein data. UGT1A1 protein abundance was associated with multiple single nucleotide polymorphisms exhibiting noticeable ontogeny-genotype interplay. UGT2B15 rs1902023 (*2) was associated with decreased protein activity without any change in protein abundance. Taken together, these data are invaluable to facilitate the prediction of drug disposition in children using physiologically based pharmacokinetic modeling as demonstrated here for zidovudine and morphine.
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Affiliation(s)
| | - Aanchal Mehrotra
- Department of Pharmaceutics, University of Washington, Seattle, WA
| | - Andrea Gaedigk
- Division of Clinical Pharmacology, Toxicology & Therapeutic Innovation, Children’s Mercy-Kansas City, MO and School of Medicine, University of Missouri-Kansas City, Kansas City, MO
| | - Revathi Chapa
- Department of Pharmaceutics, University of Washington, Seattle, WA
| | - Abdul Basit
- Department of Pharmaceutics, University of Washington, Seattle, WA
| | - Haeyoung Zhang
- Department of Pharmaceutics, University of Washington, Seattle, WA
| | - Prachi Choudhari
- Department of Pharmaceutics, University of Washington, Seattle, WA
| | - Mikael Boberg
- Department of Pharmaceutics, University of Washington, Seattle, WA
- Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Robin E. Pearce
- Division of Clinical Pharmacology, Toxicology & Therapeutic Innovation, Children’s Mercy-Kansas City, MO and School of Medicine, University of Missouri-Kansas City, Kansas City, MO
| | - Roger Gaedigk
- Division of Clinical Pharmacology, Toxicology & Therapeutic Innovation, Children’s Mercy-Kansas City, MO and School of Medicine, University of Missouri-Kansas City, Kansas City, MO
| | - Ulrich Broeckel
- Section of Genomic Pediatrics, Department of Pediatrics, and Human and Molecular Genetics Center, Medical College of Wisconsin, Milwaukee, WI
| | - J. Steven Leeder
- Division of Clinical Pharmacology, Toxicology & Therapeutic Innovation, Children’s Mercy-Kansas City, MO and School of Medicine, University of Missouri-Kansas City, Kansas City, MO
| | - Bhagwat Prasad
- Department of Pharmaceutics, University of Washington, Seattle, WA
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Perez-Paramo YX, Chen G, Ashmore JH, Watson CJW, Nasrin S, Adams-Haduch J, Wang R, Gao YT, Koh WP, Yuan JM, Lazarus P. Nicotine- N'-Oxidation by Flavin Monooxygenase Enzymes. Cancer Epidemiol Biomarkers Prev 2018; 28:311-320. [PMID: 30381441 DOI: 10.1158/1055-9965.epi-18-0669] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2018] [Revised: 08/22/2018] [Accepted: 10/04/2018] [Indexed: 01/19/2023] Open
Abstract
BACKGROUND The major mode of metabolism of nicotine is by hydroxylation via cytochrome P450 (CYP) 2A6, but it can also undergo glucuronidation by UDP-glucuronosyltransferases and oxidation by flavin monooxygenases (FMO). The goal of this study was to examine the potential importance of FMOs in nicotine metabolism and assess the potential impact of missense polymorphisms in active FMOs on nicotine-N'-oxide (NOX) formation. METHODS Urine samples from 106 current Chinese smokers were analyzed for nicotine metabolites by mass spectrometry. Wild-type FMOs 1-5 and their most prevalent nonsynonymous variants were cloned and overexpressed in HEK293 cells, and were tested in oxidation reactions against nicotine. RESULTS A strong inverse correlation was observed between the ratio of urinary 3'-hydroxycotinine/cotinine, a measure of CYP2A6 activity, and the urinary levels of NOX alone (r = -0.383; P < 0.001) or NOX measured as a ratio of total nicotine metabolites (r = -0.414; P < 0.001) in smokers. In addition to FMO1 and FMO3, the functional FMO2427Q isoform was active against nicotine, whereas FMO4 and FMO5 exhibited low activity against nicotine (K m > 5.0 mmol/L). Significant (P < 0.05) decreases in N'-oxidation activity (V max/K m) were observed for the FMO1I303V, FMO3N61S, FMO3D132H, FMO3V257M, and FMO3E308G variants in vitro when compared with their respective wild-type isoforms; the truncated FMO2Q472stop isoform exhibited no enzyme activity. CONCLUSIONS These data indicate that increases in nicotine-N'-oxidation occur in subjects with deficient CYP2A6 activity, and that several FMO enzymes are active in nicotine-N'-oxidation. IMPACT Several common missense FMO variants are associated with altered enzyme activity against nicotine and may play an important role in nicotine metabolism in low-CYP2A6 activity subjects.
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Affiliation(s)
- Yadira X Perez-Paramo
- Department of Pharmaceutical Sciences, College of Pharmacy and Pharmaceutical Sciences, Washington State University, Spokane, Washington
| | - Gang Chen
- Department of Pharmaceutical Sciences, College of Pharmacy and Pharmaceutical Sciences, Washington State University, Spokane, Washington
| | - Joseph H Ashmore
- Department of Pharmaceutical Sciences, College of Pharmacy and Pharmaceutical Sciences, Washington State University, Spokane, Washington
| | - Christy J W Watson
- Department of Pharmaceutical Sciences, College of Pharmacy and Pharmaceutical Sciences, Washington State University, Spokane, Washington
| | - Shamema Nasrin
- Department of Pharmaceutical Sciences, College of Pharmacy and Pharmaceutical Sciences, Washington State University, Spokane, Washington
| | - Jennifer Adams-Haduch
- Division of Cancer Control and Population Sciences, UPMC Hillman Cancer Center, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Renwei Wang
- Division of Cancer Control and Population Sciences, UPMC Hillman Cancer Center, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Yu-Tang Gao
- Department of Epidemiology, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Woon-Puay Koh
- Duke-NUS Medical School Singapore, Singapore, Singapore
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore
| | - Jian-Min Yuan
- Division of Cancer Control and Population Sciences, UPMC Hillman Cancer Center, University of Pittsburgh, Pittsburgh, Pennsylvania
- Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Philip Lazarus
- Department of Pharmaceutical Sciences, College of Pharmacy and Pharmaceutical Sciences, Washington State University, Spokane, Washington.
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Zhang H, Basit A, Busch D, Yabut K, Bhatt DK, Drozdzik M, Ostrowski M, Li A, Collins C, Oswald S, Prasad B. Quantitative characterization of UDP-glucuronosyltransferase 2B17 in human liver and intestine and its role in testosterone first-pass metabolism. Biochem Pharmacol 2018; 156:32-42. [PMID: 30086285 PMCID: PMC6188809 DOI: 10.1016/j.bcp.2018.08.003] [Citation(s) in RCA: 25] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2018] [Accepted: 08/03/2018] [Indexed: 12/19/2022]
Abstract
Protein abundance and activity of UGT2B17, a highly variable drug- and androgen-metabolizing enzyme, were quantified in microsomes, S9 fractions, and primary cells isolated from human liver and intestine by validated LC-MS/MS methods. UGT2B17 protein abundance showed >160-fold variation (mean ± SD, 1.7 ± 2.7 pmol/mg microsomal protein) in adult human liver microsomes (n = 26) and significant correlation (r2 = 0.77, p < 0.001) with testosterone glucuronide (TG) formation. Primary role of UGT2B17 in TG formation compared to UGT2B15 was confirmed by performing activity assays in UGT2B17 gene deletion samples and with a selective UGT2B17 inhibitor, imatinib. Human intestinal microsomes isolated from small intestine (n = 6) showed on average significantly higher protein abundance (7.4 ± 6.6 pmol/mg microsomal protein, p = 0.016) compared to liver microsomes, with an increasing trend towards distal segments of the gastrointestinal (GI) tract. Commercially available pooled microsomes and S9 fractions confirmed greater abundance and activity of UGT2B17 in intestinal fractions compared to liver fractions. To further investigate the quantitative role of UGT2B17 in testosterone metabolism in whole cell system, a targeted metabolomics study was performed in hepatocytes (n = 5) and enterocytes (n = 16). TG was the second most abundant metabolite after androstenedione in both cell systems. Reasonable correlation between UGT2B17 abundance and activity were observed in enterocytes (r2 = 0.69, p = 0.003), but not in hepatocytes. These observational and mechanistic data will be useful in developing physiologically-based pharmacokinetic (PBPK) models for predicting highly-variable first-pass metabolism of testosterone and other UGT2B17 substrates.
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Affiliation(s)
- Haeyoung Zhang
- Department of Pharmaceutics, University of Washington, Seattle, WA, USA
| | - Abdul Basit
- Department of Pharmaceutics, University of Washington, Seattle, WA, USA
| | - Diana Busch
- Department of Clinical Pharmacology, University of Greifswald, Greifswald, Germany
| | - King Yabut
- Department of Pharmaceutics, University of Washington, Seattle, WA, USA
| | | | - Marek Drozdzik
- Department of Experimental and Clinical Pharmacology, Pomeranian Medical University, Szczecin, Poland
| | - Marek Ostrowski
- Department of General and Transplantation Surgery, Pomeranian Medical University, Szczecin, Poland
| | - Albert Li
- In Vitro ADMET Laboratories (IVAL), Columbia, MD, USA
| | - Carol Collins
- Department of Pharmaceutics, University of Washington, Seattle, WA, USA
| | - Stefan Oswald
- Department of Clinical Pharmacology, University of Greifswald, Greifswald, Germany
| | - Bhagwat Prasad
- Department of Pharmaceutics, University of Washington, Seattle, WA, USA.
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Comprehensive Substrate Characterization of 22 Antituberculosis Drugs for Multiple Solute Carrier (SLC) Uptake Transporters In Vitro. Antimicrob Agents Chemother 2018; 62:AAC.00512-18. [PMID: 30012768 DOI: 10.1128/aac.00512-18] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2018] [Accepted: 07/08/2018] [Indexed: 12/30/2022] Open
Abstract
The substrate potentials of antituberculosis drugs on solute carrier (SLC) transporters are not well characterized to date, despite a well-established understanding of their drug dispositions and pharmacokinetics. In this study, we investigated comprehensively the substrate potentials of the 22 currently available antituberculosis drugs for SLC family transporter-mediated uptake, using Xenopus laevis oocytes and stably transfected HEK-293 cells in vitro The result suggested that ethambutol, isoniazid, amoxicillin, and prothionamide act as novel substrates for the SLC transporters. In addition, in the presence of representative transporter inhibitors, the uptake of the antituberculosis drugs was markedly decreased compared with the uptake in the absence of inhibitor, suggesting involvement of the corresponding transporters. A cellular uptake study was performed, and the Km values of ethambutol were found to be 526.1 ± 15.6, 212.0 ± 20.1, 336.8 ± 20.1, and 455.0 ± 28 μM for organic cation transporter 1 (OCT1), OCT2, OCTN1, and OCTN2, respectively. Similarly, the Km of prothionamide was 805.8 ± 23.4 μM for OCT1, while the Km values of isoniazid and amoxicillin for organic anion transporter 3 (OAT3) were 233.7 ± 14.1 and 161.4 ± 10.6 μM, respectively. The estimated in vivo drug-drug interaction indexes from in vitro transporter inhibition kinetics for verapamil, probenecid, and ibuprofen against ethambutol, prothionamide, isoniazid, and amoxicillin were found to show potential for clinical drug interactions. In conclusion, this is the first study that demonstrated 22 antituberculosis drug interactions with transporters. This study will be helpful for mechanistic understanding of the disposition, drug-drug interactions, and pharmacokinetics of these antituberculosis drugs.
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Nguyen PTT, Parvez MM, Kim MJ, Ho Lee J, Ahn S, Ghim JL, Shin JG. Development of a Physiologically Based Pharmacokinetic Model of Ethionamide in the Pediatric Population by Integrating Flavin-Containing Monooxygenase 3 Maturational Changes Over Time. J Clin Pharmacol 2018; 58:1347-1360. [PMID: 29878384 DOI: 10.1002/jcph.1133] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2018] [Accepted: 03/14/2018] [Indexed: 11/06/2022]
Abstract
Currently, ethionamide is the most frequently prescribed second-line antituberculosis drug in children. After extensive metabolism by flavin-containing monooxygenase (FMO) isoform 3 in the liver, the drug may exert cytotoxic effects. The comparison of children in different age groups revealed a significant age-related increase in ethionamide elimination in vivo. However, to date, the exact mechanism underlying this dynamic increase in ethionamide elimination has not been elucidated. We hypothesized that the age-dependent changes in ethionamide elimination were predominantly a result of the progressive increases in the expression and metabolic capacity of FMO3 during childhood. To test this hypothesis, a full physiologically based pharmacokinetic (PBPK) model of ethionamide was established and validated in adults through incorporation of comprehensive metabolism and transporter profiles, then expanded to the pediatric population through integration of FMO3 maturational changes over time. Thus, a good prediction PBPK model was validated successfully both in adults and children and applied to demonstrate the critical contribution of FMO3 in the mechanistic elimination pathway of ethionamide. In addition, a significant correlation between clearance and age was observed in children by accounting for ethionamide maturation, which could offer a mechanistic understanding of the age-associated changes in ethionamide elimination. In conclusion, this study underlines the benefits of in vitro-in vivo extrapolation and a quantitative PBPK approach for the investigation of transporter-enzyme interplay in ethionamide disposition and the demonstration of FMO3 ontogeny in children.
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Affiliation(s)
- Phuong Thi Thu Nguyen
- Department of Pharmacology and PharmacoGenomics Research Center, Inje University College of Medicine, Busan, Republic of Korea.,Faculty of Pharmacy, Hai Phong University of Medicine and Pharmacy, Haiphong, Vietnam
| | - Md Masud Parvez
- Department of Pharmacology and PharmacoGenomics Research Center, Inje University College of Medicine, Busan, Republic of Korea.,Leslie Dan Faculty of Pharmacy, University of Toronto, Toronto, Canada
| | - Min Jung Kim
- Department of Pharmacology and PharmacoGenomics Research Center, Inje University College of Medicine, Busan, Republic of Korea
| | - Jung Ho Lee
- Department of Pharmacology and PharmacoGenomics Research Center, Inje University College of Medicine, Busan, Republic of Korea
| | - Sangzin Ahn
- Department of Pharmacology and PharmacoGenomics Research Center, Inje University College of Medicine, Busan, Republic of Korea
| | - Jong-Lyul Ghim
- Department of Pharmacology and PharmacoGenomics Research Center, Inje University College of Medicine, Busan, Republic of Korea.,Department of Clinical Pharmacology, Inje University Busan Paik Hospital, Busan, Republic of Korea
| | - Jae-Gook Shin
- Department of Pharmacology and PharmacoGenomics Research Center, Inje University College of Medicine, Busan, Republic of Korea.,Department of Clinical Pharmacology, Inje University Busan Paik Hospital, Busan, Republic of Korea
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