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Thakur A, Yue G, Ahire D, Mettu VS, Al Maghribi A, Ford K, Peixoto L, Leeder JS, Prasad B. Sex and the Kidney Drug-Metabolizing Enzymes and Transporters: Are Preclinical Drug Disposition Data Translatable to Humans? Clin Pharmacol Ther 2024. [PMID: 38711199 DOI: 10.1002/cpt.3277] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2023] [Accepted: 04/06/2024] [Indexed: 05/08/2024]
Abstract
Cross-species differences in drug transport and metabolism are linked to poor translation of preclinical pharmacokinetic and toxicology data to humans, often resulting in the failure of new chemical entities (NCEs) during clinical drug development. Specifically, inaccurate prediction of renal clearance and renal accumulation of NCEs due to differential abundance of enzymes and transporters in kidneys can lead to differences in pharmacokinetics and toxicity between experimental animals and humans. We carried out liquid chromatography-tandem mass spectrometry (LC-MS/MS)-based protein quantification of 78 membrane drug-metabolizing enzymes and transporters (DMETs) in the kidney membrane fractions of humans, rats, and mice for characterization of cross-species and sex-dependent differences. In general, majority of DMET proteins were higher in rodents than in humans. Significant cross-species differences were observed in 30 out of 33 membrane DMET proteins quantified in all three species. Although no significant sex-dependent differences were observed in humans, the abundance of 28 and 46 membrane proteins showed significant sex dependence in rats and mice, respectively. These cross-species and sex-dependent quantitative abundance data are valuable for gaining a mechanistic understanding of drug renal disposition and accumulation. Further, these data can also be integrated into systems pharmacology tools, such as physiologically based pharmacokinetic models, to enhance the interpretation of preclinical pharmacokinetic and toxicological data.
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Affiliation(s)
- Aarzoo Thakur
- College of Pharmacy and Pharmaceutical Sciences, Washington State University, Spokane, Washington, USA
| | - Guihua Yue
- College of Pharmacy and Pharmaceutical Sciences, Washington State University, Spokane, Washington, USA
| | - Deepak Ahire
- College of Pharmacy and Pharmaceutical Sciences, Washington State University, Spokane, Washington, USA
| | - Vijaya S Mettu
- College of Pharmacy and Pharmaceutical Sciences, Washington State University, Spokane, Washington, USA
| | - Abrar Al Maghribi
- Department of Biomedical Sciences, Elson S. Floyd College of Medicine, Washington State University, Spokane, Washington, USA
| | - Kaitlyn Ford
- Department of Biomedical Sciences, Elson S. Floyd College of Medicine, Washington State University, Spokane, Washington, USA
| | - Lucia Peixoto
- Department of Biomedical Sciences, Elson S. Floyd College of Medicine, Washington State University, Spokane, Washington, USA
| | | | - Bhagwat Prasad
- College of Pharmacy and Pharmaceutical Sciences, Washington State University, Spokane, Washington, USA
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2
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Li Q, Guan Y, Xia C, Wu L, Zhang H, Wang Y. Physiologically-based pharmacokinetic modeling and dosing optimization of cefotaxime in preterm and term neonates. J Pharm Sci 2024:S0022-3549(24)00086-8. [PMID: 38460573 DOI: 10.1016/j.xphs.2024.03.002] [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: 11/02/2023] [Revised: 03/02/2024] [Accepted: 03/02/2024] [Indexed: 03/11/2024]
Abstract
BACKGROUND Cefotaxime is commonly used in treating bacterial infections in neonates. To characterize the pharmacokinetic process in neonates and evaluate different recommended dosing schedules of cefotaxime, a physiologically-based pharmacokinetic (PBPK) model of cefotaxime was established in adults and scaled to neonates. METHODS A whole-body PBPK model was built in PK-SIM® software. Three elimination pathways are composed of enzymatic metabolism in the liver, passive filtration through glomerulus, and active tubular secretion mediated by renal transporters. The ontogeny information was applied to account for age-related changes in cefotaxime pharmacokinetics. The established models were verified with realistic clinical data in adults and pediatric populations. Simulations in neonates were conducted and 100% of the dosing interval where the unbound concentration in plasma was above the minimum inhibitory concentration (fT>MIC) was selected as the target index for dosing regimen evaluation. RESULTS The developed PBPK models successfully described the pharmacokinetic process of cefotaxime in adults and were scaled to the pediatric population. Good verification results were achieved in both adults' and neonates' PBPK models, indicating a good predictive performance. The optimal dosage regimen of cefotaxime was proposed according to the postnatal age (PNA) and gestational age (GA) of neonates. For preterm neonates (GA < 36 weeks), dosages of 25 mg/kg every 8 hours in PNA 0-6 days and 25 mg/kg every 6 hours in PNA 7-28 days were suggested. For term neonates (GA ≥ 36 weeks), dosages of 33 mg/kg every 8 hours in PNA 0-6 days and 33 mg/kg every 6 hours in PNA 7-28 days were recommended. CONCLUSIONS Our study may provide useful experience in practicing PBPK model-informed precision dosing in the pediatric population.
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Affiliation(s)
- Qiaoxi Li
- Department of pharmacy, the first people's hospital of Foshan, Foshan, China
| | - Yanping Guan
- Institute of clinical pharmacology, school of pharmaceutical sciences, Sun Yat-sen University, Guangzhou, China
| | - Chen Xia
- Department of pharmacy, the first people's hospital of Foshan, Foshan, China
| | - Lili Wu
- Department of pharmacy, the first people's hospital of Foshan, Foshan, China
| | - Hongyu Zhang
- Department of pharmacy, the first people's hospital of Foshan, Foshan, China
| | - Yan Wang
- Department of pharmacy, the first people's hospital of Foshan, Foshan, China.
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Miners JO, Polasek TM, Hulin JA, Rowland A, Meech R. Drug-drug interactions that alter the exposure of glucuronidated drugs: Scope, UDP-glucuronosyltransferase (UGT) enzyme selectivity, mechanisms (inhibition and induction), and clinical significance. Pharmacol Ther 2023:108459. [PMID: 37263383 DOI: 10.1016/j.pharmthera.2023.108459] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2023] [Revised: 05/18/2023] [Accepted: 05/22/2023] [Indexed: 06/03/2023]
Abstract
Drug-drug interactions (DDIs) arising from the perturbation of drug metabolising enzyme activities represent both a clinical problem and a potential economic loss for the pharmaceutical industry. DDIs involving glucuronidated drugs have historically attracted little attention and there is a perception that interactions are of minor clinical relevance. This review critically examines the scope and aetiology of DDIs that result in altered exposure of glucuronidated drugs. Interaction mechanisms, namely inhibition and induction of UDP-glucuronosyltransferase (UGT) enzymes and the potential interplay with drug transporters, are reviewed in detail, as is the clinical significance of known DDIs. Altered victim drug exposure arising from modulation of UGT enzyme activities is relatively common and, notably, the incidence and importance of UGT induction as a DDI mechanism is greater than generally believed. Numerous DDIs are clinically relevant, resulting in either loss of efficacy or an increased risk of adverse effects, necessitating dose individualisation. Several generalisations relating to the likelihood of DDIs can be drawn from the known substrate and inhibitor selectivities of UGT enzymes, highlighting the importance of comprehensive reaction phenotyping studies at an early stage of drug development. Further, rigorous assessment of the DDI liability of new chemical entities that undergo glucuronidation to a significant extent has been recommended recently by regulatory guidance. Although evidence-based approaches exist for the in vitro characterisation of UGT enzyme inhibition and induction, the availability of drugs considered appropriate for use as 'probe' substrates in clinical DDI studies is limited and this should be research priority.
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Affiliation(s)
- John O Miners
- Discipline of Clinical Pharmacology and Flinders Centre for Innovation in Cancer, Flinders University College of Medicine and Public Health, Flinders University, Adelaide, Australia.
| | - Thomas M Polasek
- Certara, Princeton, NJ, USA; Centre for Medicines Use and Safety, Monash University, Melbourne, Australia
| | - Julie-Ann Hulin
- Discipline of Clinical Pharmacology and Flinders Centre for Innovation in Cancer, Flinders University College of Medicine and Public Health, Flinders University, Adelaide, Australia
| | - Andrew Rowland
- Discipline of Clinical Pharmacology and Flinders Centre for Innovation in Cancer, Flinders University College of Medicine and Public Health, Flinders University, Adelaide, Australia
| | - Robyn Meech
- Discipline of Clinical Pharmacology and Flinders Centre for Innovation in Cancer, Flinders University College of Medicine and Public Health, Flinders University, Adelaide, Australia
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4
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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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5
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Barber J, Al-Majdoub ZM, Couto N, Howard M, Elmorsi Y, Scotcher D, Alizai N, de Wildt S, Stader F, Sepp A, Rostami-Hodjegan A, Achour B. Toward systems-informed models for biologics disposition: covariates of the abundance of the neonatal Fc Receptor (FcRn) in human tissues and implications for pharmacokinetic modelling. Eur J Pharm Sci 2023; 182:106375. [PMID: 36626943 DOI: 10.1016/j.ejps.2023.106375] [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: 10/15/2022] [Revised: 12/21/2022] [Accepted: 01/03/2023] [Indexed: 01/09/2023]
Abstract
Biologics are a fast-growing therapeutic class, with intertwined pharmacokinetics and pharmacodynamics, affected by the abundance and function of the FcRn receptor. While many investigators assume adequacy of classical models, such as allometry, for pharmacokinetic characterization of biologics, advocates of physiologically-based pharmacokinetics (PBPK) propose consideration of known systems parameters that affect the fate of biologics to enable a priori predictions, which go beyond allometry. The aim of this study was to deploy a systems-informed modelling approach to predict the disposition of Fc-containing biologics. We used global proteomics to quantify the FcRn receptor [p51 and β2-microglobulin (B2M) subunits] in 167 samples of human tissue (liver, intestine, kidney and skin) and assessed covariates of its expression. FcRn p51 subunit was highest in liver relative to other tissues, and B2M was 1-2 orders of magnitude more abundant than FcRn p51 across all sets. There were no sex-related differences, while higher expression was confirmed in neonate liver compared with adult liver. Trends of expression in liver and kidney indicated a moderate effect of body mass index, which should be confirmed in a larger sample size. Expression of FcRn p51 subunit was approximately 2-fold lower in histologically normal liver tissue adjacent to cancer compared with healthy liver. FcRn mRNA in plasma-derived exosomes correlated moderately with protein abundance in matching liver tissue, opening the possibility of use as a potential clinical tool. Predicted effects of trends in FcRn abundance in healthy and disease (cancer and psoriasis) populations using trastuzumab and efalizumab PBPK models were in line with clinical observations, and global sensitivity analysis revealed endogenous IgG plasma concentration and tissue FcRn abundance as key systems parameters influencing exposure to Fc-conjugated biologics.
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Affiliation(s)
- Jill Barber
- Centre for Applied Pharmacokinetic Research, the University of Manchester, Manchester, United Kingdom
| | - Zubida M Al-Majdoub
- Centre for Applied Pharmacokinetic Research, the University of Manchester, Manchester, United Kingdom
| | - Narciso Couto
- Centre for Applied Pharmacokinetic Research, the University of Manchester, Manchester, United Kingdom
| | - Martyn Howard
- Centre for Applied Pharmacokinetic Research, the University of Manchester, Manchester, United Kingdom
| | - Yasmine Elmorsi
- Centre for Applied Pharmacokinetic Research, the University of Manchester, Manchester, United Kingdom
| | - Daniel Scotcher
- Centre for Applied Pharmacokinetic Research, the University of Manchester, Manchester, United Kingdom
| | | | - Saskia de Wildt
- Radboud University Medical Center, Radboud University, Nijmegen, the Netherlands
| | - Felix Stader
- Certara UK Ltd. (Simcyp Division), Sheffield, United Kingdom
| | - Armin Sepp
- Certara UK Ltd. (Simcyp Division), Sheffield, United Kingdom
| | - Amin Rostami-Hodjegan
- Centre for Applied Pharmacokinetic Research, the University of Manchester, Manchester, United Kingdom; Certara UK Ltd. (Simcyp Division), Sheffield, United Kingdom
| | - Brahim Achour
- Department of Biomedical and Pharmaceutical Sciences, College of Pharmacy, the University of Rhode Island, 495A Avedisian Hall, 7 Greenhouse Road, Kingston, RI 02881, United States.
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6
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Sharma S, Mettu VS, Prasad B. Interplay of Breast Cancer Resistance Protein (Bcrp/Abcg2), Sex, and Fed State in Oral Pharmacokinetic Variability of Furosemide in Rats. Pharmaceutics 2023; 15:pharmaceutics15020542. [PMID: 36839862 PMCID: PMC9968170 DOI: 10.3390/pharmaceutics15020542] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2023] [Revised: 01/20/2023] [Accepted: 02/03/2023] [Indexed: 02/10/2023] Open
Abstract
Poor and variable oral bioavailability of furosemide (FUR) presents critical challenges in pharmacotherapy. We investigated the interplay of breast cancer resistance protein (Bcrp)-mediated transport, sex, and fed state on FUR pharmacokinetics (PK) in rats. A crossover PK study of FUR (5 mg/kg, oral) was performed in Sprague-Dawley rats (3 males and 3 females), alone or with a Bcrp inhibitor, novobiocin (NOV) (20 mg/kg, oral), in both fed and fasted states. Co-administration of NOV significantly increased FUR extent (AUC) and rate (Cmax) of exposure by more than two-fold, which indicates efficient Bcrp inhibition in the intestine. The female rats showed two-fold higher AUC and Cmax, and two-fold lower renal clearance of FUR compared to the male rats. The latter was correlated with higher renal abundance of Bcrp and organic anion transporters (Oats) in the male rats compared to age-matched female rats. These findings suggest that the PK of Bcrp and/or Oat substrates could be sex-dependent in rats. Moreover, allometric scaling of rat PK and toxicological data of Bcrp substrates should consider species and sex differences in Bcrp and Oat abundance in the kidney. Considering that Bcrp is abundant in the intestine of rats and humans, a prospective clinical study is warranted to evaluate the effect of Bcrp inhibition on FUR PK. The potential confounding effect of the Bcrp transporter should be considered when FUR is used as a clinical probe of renal organic anion transporter-mediated drug-drug interactions. Unlike human data, no food-effect was observed on FUR PK in rats.
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Affiliation(s)
| | | | - Bhagwat Prasad
- Correspondence: ; Tel.: +1-(509)-358-7739; Fax: +1-509-368-6561
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7
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Shang LY, Zhou MH, Cao SY, Zhang M, Wang PJ, Zhang S, Meng XX, Yang QM, Gao XL. Effect of polyethylene glycol 400 on the pharmacokinetics and tissue distribution of baicalin by intravenous injection based on the enzyme activity of UGT1A8/1A9. Eur J Pharm Sci 2023; 180:106328. [PMID: 36379359 DOI: 10.1016/j.ejps.2022.106328] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2022] [Revised: 10/11/2022] [Accepted: 11/09/2022] [Indexed: 11/13/2022]
Abstract
Baicalin (BG) is a bioactive flavonoid extracted from the dried root of the medicinal plant, Scutellaria radix (SR) (dicotyledonous family, Labiatae), and has several biological activities. Polyethylene glycol 400 (PEG400) has been used as a suitable solvent for several traditional Chinese medicines (TCM) and is often used as an excipient for the compound preparation of SR. However, the drug-excipient interactions between BG and PEG400 are still unknown. Herein, we evaluated the effect of a single intravenous PEG400 administration on the BG levels of rats using pharmacokinetic and tissue distribution studies. A liver microsome and recombinant enzyme incubation system were used to further confirm the interaction mechanism between PEG400 and UDP-glucuronosyltransferases (UGTs) (UGT1A8 and UGT1A9). The pharmacokinetic study demonstrated that following the co-intravenous administration of PEG400 and BG, the total clearance (CLz) of BG in the rat plasma decreased by 101.60% (p < 0.05), whereas the area under the plasma concentration-time curve (AUC)0-t and AUC0-inf increased by 144.59% (p < 0.05) and 140.05% (p < 0.05), respectively. Additionally, the tissue distribution study showed that the concentration of BG and baicalein-6-O-β-D-glucuronide (B6G) in the tissues increased, whereas baicalein (B) in the tissues decreased, and the total amount of BG and its metabolites in tissues altered following the intravenous administration of PEG400. We further found that PEG400 induced the UGT1A8 and UGT1A9 enzyme activities by affecting the maximum enzymatic velocity (Vmax) and Michaelis-Menten constant (Km) values of UGT1A8 and UGT1A9. In conclusion, our results demonstrated that PEG400 interaction with UGTs altered the pharmacokinetic behaviors and tissue distribution characteristics of BG and its metabolites in rats.
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Affiliation(s)
- Le-Yuan Shang
- State Key Laboratory of Functions and Applications of Medicinal Plants and School of Pharmacy, Guizhou Medical University, Guiyang 550025, China; Microbiology and Biochemical Pharmaceutical Engineering Research Center of Guizhou Provincial Department of Education, Guizhou Medical University, Guiyang 550004, China; Guizhou Medical University Experimental Animal Center, Guizhou Medical University, Guiyang 550025, China
| | - Ming-Hao Zhou
- Inspection Center of Guizhou Drug Administration, Guiyang 550025, China
| | - Si-Yuan Cao
- State Key Laboratory of Functions and Applications of Medicinal Plants and School of Pharmacy, Guizhou Medical University, Guiyang 550025, China; Microbiology and Biochemical Pharmaceutical Engineering Research Center of Guizhou Provincial Department of Education, Guizhou Medical University, Guiyang 550004, China; Guizhou Medical University Experimental Animal Center, Guizhou Medical University, Guiyang 550025, China
| | - Min Zhang
- State Key Laboratory of Functions and Applications of Medicinal Plants and School of Pharmacy, Guizhou Medical University, Guiyang 550025, China; Microbiology and Biochemical Pharmaceutical Engineering Research Center of Guizhou Provincial Department of Education, Guizhou Medical University, Guiyang 550004, China; Guizhou Medical University Experimental Animal Center, Guizhou Medical University, Guiyang 550025, China
| | - Peng-Jiao Wang
- State Key Laboratory of Functions and Applications of Medicinal Plants and School of Pharmacy, Guizhou Medical University, Guiyang 550025, China; Microbiology and Biochemical Pharmaceutical Engineering Research Center of Guizhou Provincial Department of Education, Guizhou Medical University, Guiyang 550004, China; Guizhou Medical University Experimental Animal Center, Guizhou Medical University, Guiyang 550025, China
| | - Shuo Zhang
- State Key Laboratory of Functions and Applications of Medicinal Plants and School of Pharmacy, Guizhou Medical University, Guiyang 550025, China; Microbiology and Biochemical Pharmaceutical Engineering Research Center of Guizhou Provincial Department of Education, Guizhou Medical University, Guiyang 550004, China; Guizhou Medical University Experimental Animal Center, Guizhou Medical University, Guiyang 550025, China
| | - Xiao-Xia Meng
- State Key Laboratory of Functions and Applications of Medicinal Plants and School of Pharmacy, Guizhou Medical University, Guiyang 550025, China; Microbiology and Biochemical Pharmaceutical Engineering Research Center of Guizhou Provincial Department of Education, Guizhou Medical University, Guiyang 550004, China; Guizhou Medical University Experimental Animal Center, Guizhou Medical University, Guiyang 550025, China
| | - Qi-Mei Yang
- State Key Laboratory of Functions and Applications of Medicinal Plants and School of Pharmacy, Guizhou Medical University, Guiyang 550025, China; Microbiology and Biochemical Pharmaceutical Engineering Research Center of Guizhou Provincial Department of Education, Guizhou Medical University, Guiyang 550004, China; Guizhou Medical University Experimental Animal Center, Guizhou Medical University, Guiyang 550025, China
| | - Xiu-Li Gao
- State Key Laboratory of Functions and Applications of Medicinal Plants and School of Pharmacy, Guizhou Medical University, Guiyang 550025, China; Microbiology and Biochemical Pharmaceutical Engineering Research Center of Guizhou Provincial Department of Education, Guizhou Medical University, Guiyang 550004, China; Guizhou Medical University Experimental Animal Center, Guizhou Medical University, Guiyang 550025, China.
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8
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Wang Z, Wang G, Ren J. Using a Mathematical Modeling To Simulate Pharmacokinetics and Urinary Glucose Excretion of Luseogliflozin and Explore the Role of SGLT1/2 in Renal Glucose Reabsorption. ACS OMEGA 2022; 7:48427-48437. [PMID: 36591124 PMCID: PMC9798748 DOI: 10.1021/acsomega.2c06483] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/17/2022] [Accepted: 12/06/2022] [Indexed: 06/17/2023]
Abstract
(1) Purpose: To develop a mathematical model combining physiologically based pharmacokinetic and urinary glucose excretion (PBPK-UGE) to simultaneously predict pharmacokinetic (PK) and UGE changes of luseogliflozin (LUS) as well as to explore the role of sodium-glucose cotransporters (SGLT1 and SGLT2) in renal glucose reabsorption (RGR) in humans. (2) Methods: The PBPK-UGE model was built using physicochemical and biochemical properties, binding kinetics data, affinity to SGLTs for glucose, and physiological parameters of renal tubules. (3) Results: The simulations using this model clarified that SGLT1/2 contributed 15 and 85%, respectively, to RGR in the absence of LUS. However, in the presence of LUS, the contribution proportion of SGLT1 rose to 52-76% in healthy individuals and 55-83% in T2DM patients, and that of SGLT2 reduced to 24-48 and 17-45%, respectively. Furthermore, this model supported the underlying mechanism that only 23-40% inhibition of the total RGR with 5 mg of LUS is resulted from SGLT1's compensatory effect and the reabsorption activity of unbound SGLT2. (4) Conclusion: This PBPK-UGE model can predict PK and UGE in healthy individuals and T2DM patients and can also analyze the contribution of SGLT1/2 to RGR with and without LUS.
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Affiliation(s)
- Zhongjian Wang
- Pharnexcloud
Digital Technology Co., Ltd., Chengdu, Sichuan610093, China
| | - Guopeng Wang
- Zhongcai
Health (Beijing) Biological Technology Development Co., Ltd., Beijing101500, China
| | - Jiawei Ren
- North
China Electric Power University Hospital, Beijing102206, China
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9
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Ahmed AN, Rostami-Hodjegan A, Barber J, Al-Majdoub ZM. Examining Physiologically-Based Pharmacokinetic (PBPK) Model Assumptions for Cross-Tissue Similarity of Kcat: The Case Example of Uridine 5'-diphosphate Glucuronosyltransferase (UGT). Drug Metab Dispos 2022; 50:1119-1125. [PMID: 35636771 DOI: 10.1124/dmd.121.000813] [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: 12/12/2021] [Accepted: 05/03/2022] [Indexed: 11/22/2022] Open
Abstract
The default assumption during in vitro in vivo extrapolation (IVIVE) to predict metabolic clearance in physiologically-based pharmacokinetics (PBPK) is that protein expression and activity have the same relationship in various tissues. This assumption is examined for uridine 5'-diphosphate glucuronosyltransferases (UGTs), a case example where expression and, hence, metabolic activity are distributed across various tissues. Our literature analysis presents overwhelming evidence of a greater UGT activity per unit of enzyme (higher kcat) in kidney and intestinal tissues relative to liver (greater than 200-fold for UGT2B7). This analysis is based on application of abundance values reported using similar proteomic techniques and within the same laboratory. Our findings call into question the practice of assuming similar kcat during IVIVE estimations as part of PBPK, and call for a systematic assessment of the kcat of various enzymes across different organs. The analysis focused on compiling data for probe substrates that were common for two or more of the studied tissues, to allow for reliable comparison of cross-tissue enzyme kinetics; this meant that UGT enzymes included in the study were limited to UGT1A1, 1A3, 1A6, 1A9 and 2B7. Significantly, UGT1A9 (n=24) and the liver (n=27) were each found to account for around half of the total dataset; these were found to correlate, with hepatic UGT1A9 data found in 15 of the studies, highlighting the need for more research into extrahepatic tissues and other UGT isoforms. Significance Statement During PBPK modelling (in vitro in vivo extrapolation) of drug clearance, the default assumption is that the activity per unit of enzyme (kcat) is the same in all tissues. The analysis provides preliminary evidence that this may not be the case, and that renal and intestinal tissues may have almost 250-fold greater UGT activity per unit of enzyme than liver tissues.
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Affiliation(s)
- Anika N Ahmed
- Centre for Applied Pharmacokinetic Research,, The University of Manchester, United Kingdom
| | - Amin Rostami-Hodjegan
- Systems Pharmacology, Manchester Pharmacy School, University of Manchester, United Kingdom
| | - Jill Barber
- Pharmacy and Pharmaceutical Sciences, University of Manchester, United Kingdom
| | - Zubida M Al-Majdoub
- Division of Pharmacy and Optometry, University of Manchester, United Kingdom
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10
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Krishnan S, Ramsden D, Ferguson D, Stahl SH, Wang J, McGinnity DF, Hariparsad N. Challenges and Opportunities for Improved Drug-Drug Interaction Predictions for Renal OCT2 and MATE1/2-K Transporters. Clin Pharmacol Ther 2022; 112:562-572. [PMID: 35598119 DOI: 10.1002/cpt.2666] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2022] [Accepted: 05/13/2022] [Indexed: 11/08/2022]
Abstract
Transporters contribute to renal elimination of drugs; therefore drug disposition can be impacted if transporters are inhibited by comedicant drugs. Regulatory agencies have provided guidelines to assess potential drug-drug interaction (DDI) risk for renal organic cation transporter 2 (OCT2) and multidrug and toxin extrusion 1 and 2-K (MATE1/2-K) transporters. Despite this, there are challenges with translating in vitro data using currently available tools to obtain a quantitative assessment of DDI risk in the clinic. Given the high number of drugs and new molecular entities showing in vitro inhibition toward OCT2 and/or MATE1/2-K and the lack of translation to clinically significant effects, it is reasonable to question whether the current in vitro assay design and modeling practice has led to unnecessary clinical evaluation. The aim of this review is to assess and discuss available in vitro and clinical data along with prediction models intended to provide clinical context of risk, including static models proposed by regulatory agencies and physiologically-based pharmacokinetic models, in order to identify best practices and areas of future opportunity. This analysis highlights that different in vitro assay designs, including substrate and cell systems used, strongly influence the derived concentration of drug producing 50% inhibition values and contribute to high variability observed across laboratories. Furthermore, the lack of sensitive index substrates coupled with specific inhibitors for individual transporters necessitates the use of complex models to evaluate clinical DDI risk.
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Affiliation(s)
- Srinivasan Krishnan
- Drug Metabolism and Pharmacokinetics, Oncology Research & Development, AstraZeneca, Boston, Massachusetts, USA
| | - Diane Ramsden
- Drug Metabolism and Pharmacokinetics, Oncology Research & Development, AstraZeneca, Boston, Massachusetts, USA
| | - Douglas Ferguson
- Drug Metabolism and Pharmacokinetics, Oncology Research & Development, AstraZeneca, Boston, Massachusetts, USA
| | - Simone H Stahl
- Cardiovascular, Renal, and Metabolism Safety, Clinical Pharmacology and Safety Sciences, Research & Development, AstraZeneca, Cambridge, UK
| | - Joanne Wang
- Department of Pharmaceutics, University of Washington, Seattle, Washington, USA
| | - Dermot F McGinnity
- Drug Metabolism and Pharmacokinetics, Oncology Research & Development, AstraZeneca, Cambridge, UK
| | - Niresh Hariparsad
- Drug Metabolism and Pharmacokinetics, Oncology Research & Development, AstraZeneca, Boston, Massachusetts, USA
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Vasilogianni AM, El-Khateeb E, Achour B, Alrubia S, Rostami-Hodjegan A, Barber J, Al-Majdoub ZM. A family of QconCATs (Quantification conCATemers) for the quantification of human pharmacological target proteins. J Proteomics 2022; 261:104572. [DOI: 10.1016/j.jprot.2022.104572] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2022] [Revised: 03/15/2022] [Accepted: 03/19/2022] [Indexed: 11/29/2022]
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