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Liu R, Ma B, Mok MM, Murray BP, Subramanian R, Lai Y. Assessing Pleiotropic Effects of a Mixed-Mode Perpetrator Drug, Rifampicin, by Multiple Endogenous Biomarkers in Dogs. Drug Metab Dispos 2024; 52:236-241. [PMID: 38123963 DOI: 10.1124/dmd.123.001564] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2023] [Revised: 11/21/2023] [Accepted: 12/07/2023] [Indexed: 12/23/2023] Open
Abstract
Rifampicin (RIF) is a mixed-mode perpetrator that produces pleiotropic effects on liver cytochrome P450 enzymes and drug transporters. To assess the complex drug-drug interaction liabilities of RIF in vivo, a known probe substrate, midazolam (MDZ), along with multiple endogenous biomarkers were simultaneously monitored in beagle dogs before and after a 7-day treatment period by RIF at 20 mg/kg per day. Confirmed by the reduced MDZ plasma exposure and elevated 4β-hydroxycholesterol (4β-HC, biomarker of CYP3A activities) level, CYP3A was significantly induced after repeated RIF doses, and such induction persisted for 3 days after cessation of the RIF administration. On the other hand, increased plasma levels of coproporphyrin (CP)-I and III [biomarkers of organic anion transporting polypeptides 1b (Oatp1b) activities] were observed after the first dose of RIF. Plasma CPs started to decline as RIF exposure decreased, and they returned to baseline 3 days after cessation of the RIF administration. The data suggested the acute (inhibitory) and chronic (inductive) effects of RIF on Oatp1b and CYP3A enzymes, respectively, and a 3-day washout period is deemed adequate to remove superimposed Oatp1b inhibition from CYP3A induction. In addition, apparent self-induction of RIF was observed as its terminal half-life was significantly altered after multiple doses. Overall, our investigation illustrated the need for appropriate timing of modulator dosing to differentiate between transporter inhibition and enzyme induction. As further indicated by the CP data, induction of Oatp1b activities was not likely after repeated RIF administration. SIGNIFICANCE STATEMENT: This investigation demonstrated the utility of endogenous biomarkers towards complex drug-drug interactions by rifampicin (RIF) and successfully determined the optimal timing to differentiate between transporter inhibition and enzyme induction. Based on experimental evidence, Oatp1b induction following repeated RIF administration was unlikely, and apparent self-induction of RIF elimination was observed.
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Affiliation(s)
- Renmeng Liu
- Drug Metabolism, Gilead Sciences Inc., Foster City, California
| | - Bin Ma
- Drug Metabolism, Gilead Sciences Inc., Foster City, California
| | - Marilyn M Mok
- Drug Metabolism, Gilead Sciences Inc., Foster City, California
| | | | | | - Yurong Lai
- Drug Metabolism, Gilead Sciences Inc., Foster City, California
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Smits A, Annaert P, Van Cruchten S, Allegaert K. A Physiology-Based Pharmacokinetic Framework to Support Drug Development and Dose Precision During Therapeutic Hypothermia in Neonates. Front Pharmacol 2020; 11:587. [PMID: 32477113 PMCID: PMC7237643 DOI: 10.3389/fphar.2020.00587] [Citation(s) in RCA: 24] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2019] [Accepted: 04/16/2020] [Indexed: 12/21/2022] Open
Abstract
Therapeutic hypothermia (TH) is standard treatment for neonates (≥36 weeks) with perinatal asphyxia (PA) and hypoxic-ischemic encephalopathy. TH reduces mortality and neurodevelopmental disability due to reduced metabolic rate and decreased neuronal apoptosis. Since both hypothermia and PA influence physiology, they are expected to alter pharmacokinetics (PK). Tools for personalized dosing in this setting are lacking. A neonatal hypothermia physiology-based PK (PBPK) framework would enable precision dosing in the clinic. In this literature review, the stepwise approach, benefits and challenges to develop such a PBPK framework are covered. It hereby contributes to explore the impact of non-maturational PK covariates. First, the current evidence as well as knowledge gaps on the impact of PA and TH on drug absorption, distribution, metabolism and excretion in neonates is summarized. While reduced renal drug elimination is well-documented in neonates with PA undergoing hypothermia, knowledge of the impact on drug metabolism is limited. Second, a multidisciplinary approach to develop a neonatal hypothermia PBPK framework is presented. Insights on the effect of hypothermia on hepatic drug elimination can partly be generated from in vitro (human/animal) profiling of hepatic drug metabolizing enzymes and transporters. Also, endogenous biomarkers may be evaluated as surrogate for metabolic activity. To distinguish the impact of PA versus hypothermia on drug metabolism, in vivo neonatal animal data are needed. The conventional pig is a well-established model for PA and the neonatal Göttingen minipig should be further explored for PA under hypothermia conditions, as it is the most commonly used pig strain in nonclinical drug development. Finally, a strategy is proposed for establishing and fine-tuning compound-specific PBPK models for this application. Besides improvement of clinical exposure predictions of drugs used during hypothermia, the developed PBPK models can be applied in drug development. Add-on pharmacotherapies to further improve outcome in neonates undergoing hypothermia are under investigation, all in need for dosing guidance. Furthermore, the hypothermia PBPK framework can be used to develop temperature-driven PBPK models for other populations or indications. The applicability of the proposed workflow and the challenges in the development of the PBPK framework are illustrated for midazolam as model drug.
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Affiliation(s)
- Anne Smits
- Neonatal Intensive Care Unit, University Hospitals Leuven, Leuven, Belgium
- Department of Development and Regeneration, KU Leuven, Leuven, Belgium
| | - Pieter Annaert
- Drug Delivery and Disposition, Department of Pharmaceutical and Pharmacological Sciences, KU Leuven, Leuven, Belgium
| | - Steven Van Cruchten
- Applied Veterinary Morphology, Department of Veterinary Sciences, University of Antwerp, Wilrijk, Belgium
| | - Karel Allegaert
- Department of Development and Regeneration, KU Leuven, Leuven, Belgium
- Department of Pharmaceutical and Pharmacological Sciences, KU Leuven, Leuven, Belgium
- Department of Clinical Pharmacy, Erasmus MC-Sophia Children's Hospital, Rotterdam, Netherlands
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Wollmann BM, Syversen SW, Lie E, Gjestad C, Mehus LL, Olsen IC, Molden E. 4β-Hydroxycholesterol Level in Patients With Rheumatoid Arthritis Before vs. After Initiation of bDMARDs and Correlation With Inflammatory State. Clin Transl Sci 2016; 10:42-49. [PMID: 27991741 PMCID: PMC5351010 DOI: 10.1111/cts.12431] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2016] [Accepted: 10/09/2016] [Indexed: 11/30/2022] Open
Abstract
Systemic inflammation has been linked to suppressed CYP3A(4) activity. We determined 4β‐hydroxycholesterol (4βOHC), an endogenous CYP3A4 metabolite, in patients with rheumatoid arthritis (RA) before and after treatment with biological disease‐modifying antirheumatic drugs (bDMARDs). The 4βOHC was compared in 41 patients before and 2–5 months after initiating TNFα inhibitors (n = 31), IL‐6 inhibitors (n = 5), or B‐cell inhibitors (n = 5). Correlations between 4βOHC and inflammatory markers (C‐reactive protein (CRP) and erythrocyte sedimentation rate (ESR)) were also tested before and after bDMARDs. 4βOHC did not differ following bDMARD treatment (P = 0.6), nor in patients who started with IL‐6 inhibitors (median 51.6 vs. 50.6 nmol/L). The 4βOHC and CRP/ESR did not correlate before treatment (P > 0.5), but correlated significantly after bDMARDs (CRP = Spearman r ‐0.40; P < 0.01; ESR = r ‐0.34; P = 0.028) suggesting that mainly non‐CYP3A4‐suppressive cytokines were reduced during treatment. Thus, this study does not support a generally regained CYP3A4 phenotype in patients with RA following initiation of bDMARDs.
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Affiliation(s)
- B M Wollmann
- Center for Psychopharmacology, Diakonhjemmet Hospital, Oslo, Norway
| | - S W Syversen
- Department of Rheumatology, Diakonhjemmet Hospital, Oslo, Norway
| | - E Lie
- Department of Rheumatology, Diakonhjemmet Hospital, Oslo, Norway
| | - C Gjestad
- Center for Psychopharmacology, Diakonhjemmet Hospital, Oslo, Norway
| | - L L Mehus
- Department of Medicinal Biochemistry, Diakonhjemmet Hospital, Oslo, Norway
| | - I C Olsen
- Department of Rheumatology, Diakonhjemmet Hospital, Oslo, Norway
| | - E Molden
- Center for Psychopharmacology, Diakonhjemmet Hospital, Oslo, Norway.,Department of Pharmaceutical Biosciences, School of Pharmacy, University of Oslo, Norway
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Jones BC, Rollison H, Johansson S, Kanebratt KP, Lambert C, Vishwanathan K, Andersson TB. Managing the Risk of CYP3A Induction in Drug Development: A Strategic Approach. Drug Metab Dispos 2016; 45:35-41. [PMID: 27777246 DOI: 10.1124/dmd.116.072025] [Citation(s) in RCA: 28] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2016] [Accepted: 10/19/2016] [Indexed: 12/21/2022] Open
Abstract
Induction of cytochrome P450 (P450) can impact the efficacy and safety of drug molecules upon multiple dosing with coadministered drugs. This strategy is focused on CYP3A since the majority of clinically relevant cases of P450 induction are related to these enzymes. However, the in vitro evaluation of induction is applicable to other P450 enzymes; however, the in vivo relevance cannot be assessed because the scarcity of relevant clinical data. In the preclinical phase, compounds are screened using pregnane X receptor reporter gene assay, and if necessary structure-activity relationships (SAR) are developed. When projects progress toward the clinical phase, induction studies in a hepatocyte-derived model using HepaRG cells will generate enough robust data to assess the compound's induction liability in vivo. The sensitive CYP3A biomarker 4β-hydroxycholesterol is built into the early clinical phase I studies for all candidates since rare cases of in vivo induction have been found without any induction alerts from the currently used in vitro methods. Using this model, the AstraZeneca induction strategy integrates in vitro assays and in vivo studies to make a comprehensive assessment of the induction potential of new chemical entities. Convincing data that support the validity of both the in vitro models and the use of the biomarker can be found in the scientific literature. However, regulatory authorities recommend the use of primary human hepatocytes and do not advise the use of sensitive biomarkers. Therefore, primary human hepatocytes and midazolam studies will be conducted during the clinical program as required for regulatory submission.
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Affiliation(s)
- Barry C Jones
- Oncology Innovative Medicines and Early Development Biotech Unit (B.C.J.) and Drug Safety and Metabolism (H.R.), AstraZeneca, Cambridge, United Kingdom; Quantitative Clinical Pharmacology (S.J.), and Cardiovascular and Metabolic Diseases, Innovative Medicines and Early Development Biotech Unit (K.P.K., T.B.A.), AstraZeneca, Mölndal, Sweden; Quantitative Clinical Pharmacology, AstraZeneca, Hertfordshire, United Kingdom (C.L.); Quantitative Clinical Pharmacology, AstraZeneca, Waltham, Massachusetts (K.V.); and Section of Pharmacogenetics, Department of Physiology and Pharmacology, Karolinska Institutet, Stockholm, Sweden (T.B.A.).
| | - Helen Rollison
- Oncology Innovative Medicines and Early Development Biotech Unit (B.C.J.) and Drug Safety and Metabolism (H.R.), AstraZeneca, Cambridge, United Kingdom; Quantitative Clinical Pharmacology (S.J.), and Cardiovascular and Metabolic Diseases, Innovative Medicines and Early Development Biotech Unit (K.P.K., T.B.A.), AstraZeneca, Mölndal, Sweden; Quantitative Clinical Pharmacology, AstraZeneca, Hertfordshire, United Kingdom (C.L.); Quantitative Clinical Pharmacology, AstraZeneca, Waltham, Massachusetts (K.V.); and Section of Pharmacogenetics, Department of Physiology and Pharmacology, Karolinska Institutet, Stockholm, Sweden (T.B.A.)
| | - Susanne Johansson
- Oncology Innovative Medicines and Early Development Biotech Unit (B.C.J.) and Drug Safety and Metabolism (H.R.), AstraZeneca, Cambridge, United Kingdom; Quantitative Clinical Pharmacology (S.J.), and Cardiovascular and Metabolic Diseases, Innovative Medicines and Early Development Biotech Unit (K.P.K., T.B.A.), AstraZeneca, Mölndal, Sweden; Quantitative Clinical Pharmacology, AstraZeneca, Hertfordshire, United Kingdom (C.L.); Quantitative Clinical Pharmacology, AstraZeneca, Waltham, Massachusetts (K.V.); and Section of Pharmacogenetics, Department of Physiology and Pharmacology, Karolinska Institutet, Stockholm, Sweden (T.B.A.)
| | - Kajsa P Kanebratt
- Oncology Innovative Medicines and Early Development Biotech Unit (B.C.J.) and Drug Safety and Metabolism (H.R.), AstraZeneca, Cambridge, United Kingdom; Quantitative Clinical Pharmacology (S.J.), and Cardiovascular and Metabolic Diseases, Innovative Medicines and Early Development Biotech Unit (K.P.K., T.B.A.), AstraZeneca, Mölndal, Sweden; Quantitative Clinical Pharmacology, AstraZeneca, Hertfordshire, United Kingdom (C.L.); Quantitative Clinical Pharmacology, AstraZeneca, Waltham, Massachusetts (K.V.); and Section of Pharmacogenetics, Department of Physiology and Pharmacology, Karolinska Institutet, Stockholm, Sweden (T.B.A.)
| | - Craig Lambert
- Oncology Innovative Medicines and Early Development Biotech Unit (B.C.J.) and Drug Safety and Metabolism (H.R.), AstraZeneca, Cambridge, United Kingdom; Quantitative Clinical Pharmacology (S.J.), and Cardiovascular and Metabolic Diseases, Innovative Medicines and Early Development Biotech Unit (K.P.K., T.B.A.), AstraZeneca, Mölndal, Sweden; Quantitative Clinical Pharmacology, AstraZeneca, Hertfordshire, United Kingdom (C.L.); Quantitative Clinical Pharmacology, AstraZeneca, Waltham, Massachusetts (K.V.); and Section of Pharmacogenetics, Department of Physiology and Pharmacology, Karolinska Institutet, Stockholm, Sweden (T.B.A.)
| | - Karthick Vishwanathan
- Oncology Innovative Medicines and Early Development Biotech Unit (B.C.J.) and Drug Safety and Metabolism (H.R.), AstraZeneca, Cambridge, United Kingdom; Quantitative Clinical Pharmacology (S.J.), and Cardiovascular and Metabolic Diseases, Innovative Medicines and Early Development Biotech Unit (K.P.K., T.B.A.), AstraZeneca, Mölndal, Sweden; Quantitative Clinical Pharmacology, AstraZeneca, Hertfordshire, United Kingdom (C.L.); Quantitative Clinical Pharmacology, AstraZeneca, Waltham, Massachusetts (K.V.); and Section of Pharmacogenetics, Department of Physiology and Pharmacology, Karolinska Institutet, Stockholm, Sweden (T.B.A.)
| | - Tommy B Andersson
- Oncology Innovative Medicines and Early Development Biotech Unit (B.C.J.) and Drug Safety and Metabolism (H.R.), AstraZeneca, Cambridge, United Kingdom; Quantitative Clinical Pharmacology (S.J.), and Cardiovascular and Metabolic Diseases, Innovative Medicines and Early Development Biotech Unit (K.P.K., T.B.A.), AstraZeneca, Mölndal, Sweden; Quantitative Clinical Pharmacology, AstraZeneca, Hertfordshire, United Kingdom (C.L.); Quantitative Clinical Pharmacology, AstraZeneca, Waltham, Massachusetts (K.V.); and Section of Pharmacogenetics, Department of Physiology and Pharmacology, Karolinska Institutet, Stockholm, Sweden (T.B.A.)
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