1
|
Wang P, Liu S, Yang J. Physiologically Based Pharmacokinetic Modeling to Investigate the Disease-Drug-Drug Interactions between Voriconazole and Nirmatrelvir/Ritonavir in COVID-19 Patients with CYP2C19 Phenotypes. Clin Pharmacol Ther 2024; 116:363-371. [PMID: 38429919 DOI: 10.1002/cpt.3222] [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: 11/30/2023] [Accepted: 02/07/2024] [Indexed: 03/03/2024]
Abstract
Coronavirus disease 2019 (COVID-19)-associated pulmonary aspergillosis superinfection with cytokine storm is associated with increased mortality. This study aimed to establish a physiologically-based pharmacokinetic (PK) model to investigate the disease-drug-drug interactions between voriconazole and nirmatrelvir/ritonavir in patients with COVID-19 with elevated interleukin-6 (IL-6) levels carrying various CYP2C19 phenotypes. The model was constructed and validated using PK data on voriconazole, ritonavir, and IL-6, and was subsequently verified against clinical data from 78 patients with COVID-19. As a result, the model predicted voriconazole, ritonavir, and IL-6 PK parameters and drug-drug interaction-related fold changes in healthy subjects and patients with COVID-19 with acceptable prediction error, demonstrating its predictive capability. Simulations indicated ritonavir could increase voriconazole exposure to CYP2C19 intermediate and poor metabolizers rather than decrease it, in contrast to what is indicated in the drug package insert. However, the predicted ritonavir exposures were comparable across subjects. In patients with COVID-19, both ritonavir and IL-6 increased voriconazole trough concentrations, which may lead to CYP2C19 phenotype-dependent overexposure. In conclusion, COVID-19-induced IL-6 elevation and ritonavir increased voriconazole exposure, and the magnitude of interactions was influenced by CYP2C19 phenotype. Thus, caution is warranted when prescribing voriconazole concomitantly with Paxlovid in patients with COVID-19.
Collapse
Affiliation(s)
- Peile Wang
- Department of Pharmacy, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Henan Key Laboratory of Precision Clinical Pharmacy, Zhengzhou University, Zhengzhou, China
- Henan Engineering Research Center for Application & Translation of Precision Clinical Pharmacy, Zhengzhou University, Zhengzhou, China
| | - Shuaibing Liu
- Department of Pharmacy, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Jing Yang
- Department of Pharmacy, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Henan Key Laboratory of Precision Clinical Pharmacy, Zhengzhou University, Zhengzhou, China
- Henan Engineering Research Center for Application & Translation of Precision Clinical Pharmacy, Zhengzhou University, Zhengzhou, China
| |
Collapse
|
2
|
Willemin M, Wang Lin SX, De Zwart L, Wu LS, Miao X, Verona R, Banerjee A, Liu B, Kobos R, Qi M, Ouellet D, Goldberg JD, Girgis S. Evaluating drug interaction potential from cytokine release syndrome using a physiologically based pharmacokinetic model: A case study of teclistamab. CPT Pharmacometrics Syst Pharmacol 2024; 13:1117-1129. [PMID: 38831634 PMCID: PMC11247108 DOI: 10.1002/psp4.13144] [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] [Received: 11/17/2023] [Revised: 04/02/2024] [Accepted: 04/08/2024] [Indexed: 06/05/2024] Open
Abstract
Cytokine release syndrome (CRS) was associated with teclistamab treatment in the phase I/II MajesTEC-1 study. Cytokines, especially interleukin (IL)-6, are known suppressors of cytochrome P450 (CYP) enzymes' activity. A physiologically based pharmacokinetic model evaluated the impact of IL-6 serum levels on exposure of substrates of various CYP enzymes (1A2, 2C9, 2C19, 3A4, 3A5). Two IL-6 kinetics profiles were assessed, the mean IL-6 profile with a maximum concentration (Cmax) of IL-6 (21 pg/mL) and the IL-6 profile of the patient presenting the highest IL-6 Cmax (288 pg/mL) among patients receiving the recommended phase II dose of teclistamab in MajesTEC-1. For the mean IL-6 kinetics profile, teclistamab was predicted to result in a limited change in exposure of CYP substrates (area under the curve [AUC] mean ratio 0.87-1.20). For the maximum IL-6 kinetics profile, the impact on omeprazole, simvastatin, midazolam, and cyclosporine exposure was weak to moderate (mean AUC ratios 1.90-2.23), and minimal for caffeine and s-warfarin (mean AUC ratios 0.82-1.25). Maximum change in exposure for these substrates occurred 3-4 days after step-up dosing in cycle 1. These results suggest that after cycle 1, drug interaction from IL-6 effect has no meaningful impact on CYP activities, with minimal or moderate impact on CYP substrates. The highest risk of drug interaction is expected to occur during step-up dosing up to 7 days after the first treatment dose (1.5 mg/kg subcutaneously) and during and after CRS.
Collapse
Affiliation(s)
| | | | | | - Liviawati S. Wu
- Janssen Research & DevelopmentSouth San FranciscoCaliforniaUSA
| | - Xin Miao
- Janssen Research & DevelopmentSpring HousePennsylvaniaUSA
| | - Raluca Verona
- Janssen Research & DevelopmentSpring HousePennsylvaniaUSA
| | - Arnob Banerjee
- Janssen Research & DevelopmentSpring HousePennsylvaniaUSA
| | - Baolian Liu
- Janssen Research & DevelopmentRaritanNew JerseyUSA
| | - Rachel Kobos
- Janssen Research & DevelopmentRaritanNew JerseyUSA
| | - Ming Qi
- Janssen Research & DevelopmentRaritanNew JerseyUSA
| | | | | | - Suzette Girgis
- Janssen Research & DevelopmentSpring HousePennsylvaniaUSA
| |
Collapse
|
3
|
Zhang X, Zhao P. Is PBPK useful to inform product label on managing clinically significant drug interactions mediated by cytokine release syndrome? CPT Pharmacometrics Syst Pharmacol 2024; 13:1083-1087. [PMID: 38866079 PMCID: PMC11247104 DOI: 10.1002/psp4.13185] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2024] [Accepted: 05/24/2024] [Indexed: 06/14/2024] Open
Affiliation(s)
- Xinyuan Zhang
- Quantitative Clinical PharmacologyDaiichi Sankyo, Inc.Basking RidgeNew JerseyUSA
| | - Ping Zhao
- Bill & Melinda Gates FoundationSeattleWashingtonUSA
| |
Collapse
|
4
|
Costa B, Vale N. Virus-Induced Epilepsy vs. Epilepsy Patients Acquiring Viral Infection: Unravelling the Complex Relationship for Precision Treatment. Int J Mol Sci 2024; 25:3730. [PMID: 38612542 PMCID: PMC11011490 DOI: 10.3390/ijms25073730] [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: 12/07/2023] [Revised: 01/04/2024] [Accepted: 03/25/2024] [Indexed: 04/14/2024] Open
Abstract
The intricate relationship between viruses and epilepsy involves a bidirectional interaction. Certain viruses can induce epilepsy by infecting the brain, leading to inflammation, damage, or abnormal electrical activity. Conversely, epilepsy patients may be more susceptible to viral infections due to factors, such as compromised immune systems, anticonvulsant drugs, or surgical interventions. Neuroinflammation, a common factor in both scenarios, exhibits onset, duration, intensity, and consequence variations. It can modulate epileptogenesis, increase seizure susceptibility, and impact anticonvulsant drug pharmacokinetics, immune system function, and brain physiology. Viral infections significantly impact the clinical management of epilepsy patients, necessitating a multidisciplinary approach encompassing diagnosis, prevention, and treatment of both conditions. We delved into the dual dynamics of viruses inducing epilepsy and epilepsy patients acquiring viruses, examining the unique features of each case. For virus-induced epilepsy, we specify virus types, elucidate mechanisms of epilepsy induction, emphasize neuroinflammation's impact, and analyze its effects on anticonvulsant drug pharmacokinetics. Conversely, in epilepsy patients acquiring viruses, we detail the acquired virus, its interaction with existing epilepsy, neuroinflammation effects, and changes in anticonvulsant drug pharmacokinetics. Understanding this interplay advances precision therapies for epilepsy during viral infections, providing mechanistic insights, identifying biomarkers and therapeutic targets, and supporting optimized dosing regimens. However, further studies are crucial to validate tools, discover new biomarkers and therapeutic targets, and evaluate targeted therapy safety and efficacy in diverse epilepsy and viral infection scenarios.
Collapse
Affiliation(s)
- Bárbara Costa
- PerMed Research Group, Center for Health Technology and Services Research (CINTESIS), Rua Doutor Plácido da Costa, s/n, 4200-450 Porto, Portugal;
- CINTESIS@RISE, Faculty of Medicine, University of Porto, Alameda Professor Hernâni Monteiro, 4200-319 Porto, Portugal
- Department of Community Medicine, Information and Health Decision Sciences (MEDCIDS), Faculty of Medicine, University of Porto, Rua Doutor Plácido da Costa, s/n, 4200-450 Porto, Portugal
| | - Nuno Vale
- PerMed Research Group, Center for Health Technology and Services Research (CINTESIS), Rua Doutor Plácido da Costa, s/n, 4200-450 Porto, Portugal;
- CINTESIS@RISE, Faculty of Medicine, University of Porto, Alameda Professor Hernâni Monteiro, 4200-319 Porto, Portugal
- Department of Community Medicine, Information and Health Decision Sciences (MEDCIDS), Faculty of Medicine, University of Porto, Rua Doutor Plácido da Costa, s/n, 4200-450 Porto, Portugal
| |
Collapse
|
5
|
Djebli N, Parrott N, Jaminion F, O'Jeanson A, Guerini E, Carlile D. Evaluation of the potential impact on pharmacokinetics of various cytochrome P450 substrates of increasing IL-6 levels following administration of the T-cell bispecific engager glofitamab. CPT Pharmacometrics Syst Pharmacol 2024; 13:396-409. [PMID: 38044486 PMCID: PMC10941566 DOI: 10.1002/psp4.13091] [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: 09/23/2023] [Revised: 11/11/2023] [Accepted: 11/20/2023] [Indexed: 12/05/2023] Open
Abstract
Glofitamab is a novel T cell bispecific antibody developed for treatment of relapsed-refractory diffuse large B cell lymphoma and other non-Hodgkin's lymphoma indications. By simultaneously binding human CD20-expressing tumor cells and CD3 on T cells, glofitamab induces tumor cell lysis, in addition to T-cell activation, proliferation, and cytokine release. Here, we describe physiologically-based pharmacokinetic (PBPK) modeling performed to assess the impact of glofitamab-associated transient increases in interleukin 6 (IL-6) on the pharmacokinetics of several cytochrome P450 (CYP) substrates. By refinement of a previously described IL-6 model and inclusion of in vitro CYP suppression data for CYP3A4, CYP1A2, and 2C9, a PBPK model was established in Simcyp to capture the induced IL-6 levels seen when glofitamab is administered at the intended dose and dosing regimen. Following model qualification, the PBPK model was used to predict the potential impact of CYP suppression on exposures of various CYP probe substrates. PBPK analysis predicted that, in the worst-case, the transient elevation of IL-6 would increase exposures of CYP3A4, CYP2C9, and CYP1A2 substrates by less than or equal to twofold. Increases for CYP3A4, CYP2C9, and CYP1A2 substrates were projected to be 1.75, 1.19, and 1.09-fold following the first administration and 2.08, 1.28, and 1.49-fold following repeated administrations. It is recommended that there are no restrictions on concomitant treatment with any other drugs. Consideration may be given for potential drug-drug interaction during the first cycle in patients who are receiving concomitant CYP substrates with a narrow therapeutic index via monitoring for toxicity or for drug concentrations.
Collapse
Affiliation(s)
- Nassim Djebli
- Roche Pharmaceutical Research and Early DevelopmentRoche Innovation CenterBaselSwitzerland
- Luzsana Biotechnology, Clinical Pharmacology and Early DevelopmentBaselSwitzerland
| | - Neil Parrott
- Roche Pharmaceutical Research and Early DevelopmentRoche Innovation CenterBaselSwitzerland
| | - Felix Jaminion
- Roche Pharmaceutical Research and Early DevelopmentRoche Innovation CenterBaselSwitzerland
| | | | - Elena Guerini
- Roche Pharmaceutical Research and Early DevelopmentRoche Innovation CenterBaselSwitzerland
| | - David Carlile
- Roche Pharmaceutical Research and Early Development, Roche Innovation CenterWelwynUK
| |
Collapse
|
6
|
Chen Y, Ma F, Jones N, Deng R, Li C, Li C. Assessment of CYP3A-mediated drug interaction via cytokine (IL-6) elevation for mosunetuzumab using physiologically-based pharmacokinetic modeling. CPT Pharmacometrics Syst Pharmacol 2024; 13:234-246. [PMID: 38050329 PMCID: PMC10864933 DOI: 10.1002/psp4.13073] [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: 09/01/2023] [Revised: 10/06/2023] [Accepted: 10/19/2023] [Indexed: 12/06/2023] Open
Abstract
Mosunetuzumab is a CD3/CD20 bispecific antibody. As an on-target effect, transient elevation of interleukin-6 (IL-6) occurs in early treatment cycles. A physiologically-based pharmacokinetic (PBPK) model was developed to assess potential drug interaction caused by IL-6 enzyme suppression on cytochrome P450 3A (CYP3A) during mosunetuzumab treatment. The model's performance in predicting IL-6 CYP3A suppression and subsequent drug-drug interactions (DDIs) was verified using existing clinical data of DDIs caused by chronic and transient IL-6 elevation. Sensitivity analyses were performed for a complete DDI risk assessment. The IL-6 concentration- and time-dependent CYP3A suppression during mosunetuzumab treatment was simulated using PBPK model with incorporation of in vitro IL-6 inhibition data. At clinically approved doses/regimens, the DDI at maximum CYP3A suppression was predicted to be a midazolam maximum drug concentration in plasma (Cmax ) and area under the plasma drug concentration-time curve (AUC) ratio of 1.17 and 1.37, respectively. At the 95th percentile of IL-6 concentration level or when gut CYP3A suppression was considered, the predicted DDI risk for mosunetuzumab remained low (<2-fold). The PBPK-based DDI predictions informed the mosunetuzumab product label to monitor, in early cycles, the concentrations and toxicities for sensitive CYP3A substrates with narrow therapeutic windows.
Collapse
Affiliation(s)
- Yuan Chen
- Drug Metabolism and PharmacokineticsGenentech, Inc.South San FranciscoCaliforniaUSA
| | - Fang Ma
- Drug Metabolism and PharmacokineticsGenentech, Inc.South San FranciscoCaliforniaUSA
| | - Nicholas Jones
- Clinical ScienceGenentech, Inc.South San FranciscoCaliforniaUSA
| | - Rong Deng
- Clinical PharmacologyGenentech, Inc.South San FranciscoCaliforniaUSA
| | - Chunze Li
- Clinical PharmacologyGenentech, Inc.South San FranciscoCaliforniaUSA
| | - Chi‐Chung Li
- Clinical PharmacologyGenentech, Inc.South San FranciscoCaliforniaUSA
| |
Collapse
|
7
|
Wong CKH, Mak LY, Au ICH, Cheng WY, So CH, Lau KTK, Lau EHY, Cowling BJ, Leung GM, Yuen MF. Risk of acute liver injury following the nirmatrelvir/ritonavir use. Liver Int 2023; 43:2657-2667. [PMID: 37448114 DOI: 10.1111/liv.15673] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/02/2023] [Revised: 05/21/2023] [Accepted: 07/01/2023] [Indexed: 07/15/2023]
Abstract
BACKGROUND Elevations in alanine aminotransferase (ALT) and aspartate aminotransferase (AST) were reported as adverse events of nirmatrelvir/ritonavir users in the EPIC-HR trial. AIM To quantify the risk and severity of acute liver injury (ALI) associated with nirmatrelvir/ritonavir use. METHODS This self-controlled case-series study was conducted using electronic medical records of patients with confirmed diagnosis of SARS-CoV-2 infection between 26th February 2022 and 12th February 2023 in Hong Kong. RESULTS Among 2 409 848 patients with SARS-CoV-2 infection during the study period, 153 853 were prescribed with nirmatrelvir/ritonavir, of whom 834 (.5%) had incident ALI (moderate: 30.5%; moderate to severe: 18.9%; severe or fatal: 5.8%). Compared with the non-exposure period, risk of ALI increased significantly during the pre-exposure period (IRR = 38.13, 95% CI = 29.29-49.62) and remained elevated during the five-day nirmatrelvir/ritonavir treatment (IRR = 20.75, 95% CI = 17.06-25.25) and during wash-out period (IRR = 16.27, 95% CI = 13.23-20.01). Compared to the pre-exposure period, risk of ALI was not increased during the five-day nirmatrelvir/ritonavir treatment period (IRR = .54, 95% CI = .43-.70). Compared to 5469 non-nirmatrelvir/ritonavir users with incident ALI, nirmatrelvir/ritonavir users had less severe ALI by the severity index (p < .001) and peak INR (1.7 vs. 2.3; p < .001). ALI cases with nirmatrelvir/ritonavir use had lower risk of all-cause death (29.1% vs. 39.1%; OR = .64; p < .001) and no increase in risk of liver decompensation (1.0% vs. 1.3%; OR = .62; p = .230) compared to non-users. CONCLUSION The risk of ALI associated with nirmatrelvir/ritonavir treatment for COVID-19 was elevated in the pre-exposure period, but not following nirmatrelvir/ritonavir initiation. ALI following nirmatrelvir/ritonavir treatment were mostly mild and less severe than ALI events in non-nirmatrelvir/ritonavir users.
Collapse
Affiliation(s)
- Carlos King Ho Wong
- Department of Pharmacology and Pharmacy, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong, SAR, China
- Department of Family Medicine and Primary Care, School of Clinical Medicine, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
- Laboratory of Data Discovery for Health (D24H), Hong Kong Science and Technology Park, Hong Kong SAR, China
| | - Lung Yi Mak
- Department of Medicine, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
- State Key Laboratory of Liver Research, The University of Hong Kong, Hong Kong SAR, China
| | - Ivan Chi Ho Au
- Department of Pharmacology and Pharmacy, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong, SAR, China
| | - Wing Yiu Cheng
- School of Biomedical Sciences, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Ching Hei So
- Department of Pharmacology and Pharmacy, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong, SAR, China
| | - Kristy Tsz Kwan Lau
- Department of Pharmacology and Pharmacy, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong, SAR, China
| | - Eric Ho Yin Lau
- Laboratory of Data Discovery for Health (D24H), Hong Kong Science and Technology Park, Hong Kong SAR, China
- WHO Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Benjamin J Cowling
- Laboratory of Data Discovery for Health (D24H), Hong Kong Science and Technology Park, Hong Kong SAR, China
- WHO Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Gabriel M Leung
- Laboratory of Data Discovery for Health (D24H), Hong Kong Science and Technology Park, Hong Kong SAR, China
- WHO Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Man Fung Yuen
- Department of Medicine, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
- State Key Laboratory of Liver Research, The University of Hong Kong, Hong Kong SAR, China
| |
Collapse
|
8
|
Villemure S, Trenaman SC, Goralski KB. The impact of COVID-19 infection on cytochrome P450 3A4-mediated drug metabolism and drug interactions. Expert Opin Drug Metab Toxicol 2023; 19:329-332. [PMID: 37345482 DOI: 10.1080/17425255.2023.2228680] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2023] [Accepted: 06/20/2023] [Indexed: 06/23/2023]
Affiliation(s)
- Samuel Villemure
- College of Pharmacy, Dalhousie University, Halifax, Nova Scotia, Canada
| | - Shanna C Trenaman
- College of Pharmacy, Dalhousie University, Halifax, Nova Scotia, Canada
- Nova Scotia Health Authority, Halifax, Nova Scotia
| | - Kerry B Goralski
- College of Pharmacy, Dalhousie University, Halifax, Nova Scotia, Canada
- Department of Pharmacology, Dalhousie University, Halifax, Nova Scotia, Canada
- Department of Pediatrics, IWK Health Centre
- Beatrice Hunter Cancer Research Institute, Halifax, Nova Scotia, Canada
| |
Collapse
|
9
|
Chen S, Leong WF, Lee SS, Chowbay B. Pharmacokinetic and pharmacogenomic considerations in managing use of nirmatrelvir-ritonavir and molnupiravir and dermatological treatments. ANNALS OF THE ACADEMY OF MEDICINE, SINGAPORE 2022. [DOI: 10.47102/annals-acadmedsg.2022430] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
|
10
|
Coutant DE, Boulton DW, Dahal UP, Deslandes A, Grimaldi C, Pereira JNS, Säll C, Sarvaiya H, Schiller H, Tai G, Umehara K, Yuan Y, Dallas S. Therapeutic Protein Drug Interactions: A White Paper From the International Consortium for Innovation and Quality in Pharmaceutical Development. Clin Pharmacol Ther 2022; 113:1185-1198. [PMID: 36477720 DOI: 10.1002/cpt.2814] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2022] [Accepted: 11/22/2022] [Indexed: 12/13/2022]
Abstract
Typically, therapeutic proteins (TPs) have a low risk for eliciting meaningful drug interactions (DIs). However, there are select instances where TP drug interactions (TP-DIs) of clinical concern can occur. This white paper discusses the various types of TP-DIs involving mechanisms such as changes in disease state, target-mediated drug disposition, neonatal Fc receptor (FcRn), or antidrug antibodies formation. The nature of TP drug interaction being investigated should determine whether the examination is conducted as a standalone TP-DI study in healthy participants, in patients, or assessed via population pharmacokinetic analysis. DIs involving antibody-drug conjugates are discussed briefly, but the primary focus here will be DIs involving cytokine modulation. Cytokine modulation can occur directly by certain TPs, or indirectly due to moderate to severe inflammation, infection, or injury. Disease states that have been shown to result in indirect disease-DIs that are clinically meaningful have been listed (i.e., typically a twofold change in the systemic exposure of a coadministered sensitive cytochrome P450 substrate drug). Type of disease and severity of inflammation should be the primary drivers for risk assessment for disease-DIs. While more clinical inflammatory marker data needs to be collected, the use of two or more clinical inflammatory markers (such as C-reactive protein, albumin, or interleukin 6) may help broadly categorize whether the predicted magnitude of inflammatory disease-DI risk is negligible, weak, or moderate to strong. Based on current knowledge, clinical DI studies are not necessary for all TPs, and should no longer be conducted in certain disease patient populations such as psoriasis, which do not have sufficient systemic inflammation to cause a meaningful indirect disease-DI.
Collapse
Affiliation(s)
- David E Coutant
- Drug Disposition Department, Eli Lilly and Company, Indianapolis, Indiana, USA
| | - David W Boulton
- Clinical Pharmacology and Quantitative Pharmacology, Clinical Pharmacology and Safety Sciences, Research & Development, AstraZeneca, Gaithersburg, Maryland, USA
| | - Upendra P Dahal
- Pharmacokinetics and Drug Metabolism, Amgen, Inc., South San Francisco, California, USA
| | - Antoine Deslandes
- Translational Medicine and Early Development, Sanofi Research & Development, Chilly-Mazarin, France
| | - Christine Grimaldi
- Formerly of Drug Metabolism and Pharmacokinetics, Boehringer Ingelheim Pharmaceuticals, Inc, Ridgefield, Connecticut, USA
| | - Joao N S Pereira
- Drug Disposition & Design, Merck Healthcare KGaA, Darmstadt, Germany
| | - Carolina Säll
- Development Absorption, Distribution, Metabolism, and Elimination, Novo Nordisk A/S, Måløv, Denmark
| | - Hetal Sarvaiya
- Drug Metabolism, Pharmacokinetics, and Bioanalytical, AbbVie Inc., California, South San Francisco, USA
| | - Hilmar Schiller
- Pharmacokinetic Sciences, Novartis Institutes for BioMedical Research, Basel, Switzerland
| | - Guoying Tai
- Department of Metabolism and Pharmacokinetics, GlaxoSmithKline, Collegeville, Pennsylvania, USA
| | - Kenichi Umehara
- Pharmaceutical Sciences, Roche Pharma Research & Early Development, Roche Innovation Center Basel, Basel, Switzerland
| | - Yang Yuan
- Formerly of Department of Metabolism and Pharmacokinetics, Bristol Myers Squibb Pharmaceutical Research and Development, Princeton, New Jersey, USA
| | - Shannon Dallas
- Preclinical Sciences & Translational Safety, Janssen Research & Development, Springhouse, Pennsylvania, USA
| |
Collapse
|
11
|
Seo SK, van der Graaf PH. How a Pandemic Simultaneously Strengthened Existing Fundamentals and Drove New Innovations in Clinical Pharmacology. Clin Pharmacol Ther 2022; 112:1141-1144. [PMID: 36403083 DOI: 10.1002/cpt.2758] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2022] [Accepted: 09/26/2022] [Indexed: 11/21/2022]
Affiliation(s)
- Shirley K Seo
- Division of Cardiometabolic and Endocrine Pharmacology, Office of Clinical Pharmacology, Office of Translational Sciences, Center for Drug Evaluation and Research, US Food and Drug Administration, Silver Spring, Maryland, USA
| | | |
Collapse
|
12
|
Neupane B, Pandya H, Pandya T, Austin R, Spooner N, Rudge J, Mulla H. Inflammation and cardiovascular status impact midazolam pharmacokinetics in critically ill children: An observational, prospective, controlled study. Pharmacol Res Perspect 2022; 10:e01004. [PMID: 36036654 PMCID: PMC9422629 DOI: 10.1002/prp2.1004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2022] [Revised: 07/12/2022] [Accepted: 07/26/2022] [Indexed: 12/02/2022] Open
Abstract
Altered physiology caused by critical illness may change midazolam pharmacokinetics and thereby result in adverse reactions and outcomes in this vulnerable patient population. This study set out to determine which critical illness-related factors impact midazolam pharmacokinetics in children using population modeling. This was an observational, prospective, controlled study of children receiving IV midazolam as part of routine care. Children recruited into the study were either critically-ill receiving continuous infusions of midazolam or otherwise well, admitted for elective day-case surgery (control) who received a single IV bolus dose of midazolam. The primary outcome was to determine the population pharmacokinetics and identify covariates that influence midazolam disposition during critical illness. Thirty-five patients were recruited into the critically ill arm of the study, and 54 children into the control arm. Blood samples for assessing midazolam and 1-OH-midazolam concentrations were collected opportunistically (critically ill arm) and in pre-set time windows (control arm). Pharmacokinetic modeling demonstrated a significant change in midazolam clearance with acute inflammation (measured using C-Reactive Protein), cardio-vascular status, and weight. Simulations predict that elevated C-Reactive Protein and compromised cardiovascular function in critically ill children result in midazolam concentrations up to 10-fold higher than in healthy children. The extremely high concentrations of midazolam observed in some critically-ill children indicate that the current therapeutic dosing regimen for midazolam can lead to over-dosing. Clinicians should be aware of this risk and intensify monitoring for oversedation in such patients.
Collapse
Affiliation(s)
- Bikalpa Neupane
- Department of Respiratory Sciences, College of Life SciencesUniversity of LeicesterLeicesterUK
- Jenny Lind Children's HospitalNorfolk and Norwich University Hospital NHS TrustNorwichUK
| | - Hitesh Pandya
- Department of Respiratory Sciences, College of Life SciencesUniversity of LeicesterLeicesterUK
| | - Tej Pandya
- Royal Bolton NHS Foundation TrustFarnworthUK
| | | | - Neil Spooner
- Spooner Bioanalytical Solutions LimitedHertfordUK
| | | | - Hussain Mulla
- Department of Respiratory Sciences, College of Life SciencesUniversity of LeicesterLeicesterUK
- Department of PharmacyUniversity Hospitals of Leicester NHS TrustLeicesterUK
| |
Collapse
|
13
|
Model-informed Estimation of Acutely Decreased Tacrolimus Clearance and Subsequent Dose Individualization in a Pediatric Renal Transplant Patient with Posterior Reversible Encephalopathy Syndrome. Ther Drug Monit 2022; 45:376-382. [PMID: 36728342 DOI: 10.1097/ftd.0000000000001045] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2022] [Accepted: 07/22/2022] [Indexed: 02/03/2023]
Abstract
BACKGROUND Considerable inter-patient and inter-occasion variability has been reported in tacrolimus pharmacokinetics (PK) in the pediatric renal transplant population. The present study investigated tacrolimus PK in a 2-year-old post-renal transplant patient and a known CYP3A5 expresser who developed posterior reversible encephalopathy syndrome (PRES) and had significantly elevated tacrolimus blood concentrations during tacrolimus treatment. A model-informed PK assessment was performed to assist with precision dosing. Tacrolimus clearance was evaluated both before and after the development of PRES on post-transplant day (PTD) 26. METHODS A retrospective chart review was conducted to gather dosing data and tacrolimus concentrations, as part of a clinical pharmacology consultation service. Individual PK parameters were estimated by Bayesian estimation using a published pediatric PK model. Oral clearance (CL/F) was estimated for three distinct time periods-before CNS symptoms (PTD 25), during the PRES event (PTD 27-30), and after oral tacrolimus was re-started (PTD 93). RESULTS Bayesian estimation showed an estimated CL/F of 15.0 L/h in the days preceding the PRES event, compared to a population mean of 16.3 L/h (95% confidence interval 14.9-17.7 L/h) for CYP3A5 expressers of the same age and weight. Samples collected on PTD 27-30 yielded an estimated CL/F of 3.6 L/h, a reduction of 76%, coinciding with clinical confirmation of PRES and therapy discontinuation. On PTD 93, an additional assessment showed a stable CL/F value of 14.5 L/h one month after re-initiating tacrolimus and was used to recommend a continued maintenance dose. CONCLUSION This is the first report to demonstrate acutely decreased tacrolimus clearance in PRES, likely caused by the downregulation of metabolizing enzymes in response to inflammatory cytokines. The results suggest the ability of model-informed Bayesian estimation to characterize an acute decline in oral tacrolimus clearance after the development of PRES, and the role that PK estimation may play in supporting dose selection and individualization.
Collapse
|
14
|
Li J, Peng P, Lai KP. Therapeutic targets and functions of curcumol against COVID-19 and colon adenocarcinoma. Front Nutr 2022; 9:961697. [PMID: 35967794 PMCID: PMC9372556 DOI: 10.3389/fnut.2022.961697] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2022] [Accepted: 08/01/2022] [Indexed: 11/29/2022] Open
Abstract
Since 2019, the coronavirus disease (COVID-19) has caused 6,319,395 deaths worldwide. Although the COVID-19 vaccine is currently available, the latest variant of the virus, Omicron, spreads more easily than earlier strains, and its mortality rate is still high in patients with chronic diseases, especially cancer patients. So, identifying a novel compound for COVID-19 treatment could help reduce the lethal rate of the viral infection in patients with cancer. This study applied network pharmacology and systematic bioinformatics analysis to determine the possible use of curcumol for treating colon adenocarcinoma (COAD) in patients infected with COVID-19. Our results showed that COVID-19 and COAD in patients shared a cluster of genes commonly deregulated by curcumol. The clinical pathological analyses demonstrated that the expression of gamma-aminobutyric acid receptor subunit delta (GABRD) was associated with the patients' hazard ratio. More importantly, the high expression of GABRD was associated with poor survival rates and the late stages of COAD in patients. The network pharmacology result identified seven-core targets, including solute carrier family 6 member 3, gamma-aminobutyric acid receptor subunit pi, butyrylcholinesterase, cytochrome P450 3A4, 17-beta-hydroxysteroid dehydrogenase type 2, progesterone receptor, and GABRD of curcumol for treating patients with COVID-19 and COAD. The bioinformatic analysis further highlighted their importance in the biological processes and molecular functions in gland development, inflammation, retinol, and steroid metabolism. The findings of this study suggest that curcumol could be an alternative compound for treating patients with COVID-19 and COAD.
Collapse
Affiliation(s)
- Jun Li
- The Pharmaceutical Department, The Second Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - Peng Peng
- Department of Gastroenterology, The Second Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - Keng Po Lai
- Clinical Medicine Research Center, The Second Affiliated Hospital of Guangxi Medical University, Nanning, China
| |
Collapse
|
15
|
Chen KF, Jones HM, Gill KL. PBPK modelling to predict drug-biologic interactions with cytokine modulators: Are these relevant and is IL-6 enough?. Drug Metab Dispos 2022; 50:1322-1331. [PMID: 35868639 DOI: 10.1124/dmd.122.000926] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2022] [Revised: 07/06/2022] [Accepted: 07/08/2022] [Indexed: 11/22/2022] Open
Abstract
Drugs that modulate cytokine levels are often used for the treatment of cancer as well as inflammatory or immunological disorders. Pharmacokinetic drug-biologic interactions (DBI) may arise from suppression or elevation of cytochrome P450 (CYP) enzymes caused by the increase or decrease in cytokine levels following administration of these therapies. There is in vitro and in vivo evidence that demonstrates a clear link between raised interleukin (IL)-6 levels and CYP suppression, in particular CYP3A4. However despite this, the changes in IL-6 levels in vivo rarely lead to significant drug interactions (AUC and Cmax ratios < 2-fold). The clinical significance of such interactions therefore remains questionable and is dependent on the therapeutic index of the small molecule therapy. Physiologically-based pharmacokinetic (PBPK) modelling has been used successfully to predict the impact of raised IL-6 on CYP activities. Beyond IL-6, published data show little evidence that IL-8, IL-10, and IL-17 suppress CYP enzymes. I n vitro data suggest that IL-1β, IL-2, tumor necrosis factor (TNF)-α, and interferon (IFN)-γ can cause suppression of CYP enzymes. Despite in vivo there being a link between IL-6 levels and CYP suppression, the evidence to support a direct effect of IL-2, IL-8, IL-10, IL-17, IFN-γ, TNF-α or vascular endothelial growth factor (VEGF) on CYP activity is inconclusive. This commentary will discuss the relevance of such drug-biologic interactions and whether current PBPK models considering only IL-6 are sufficient. Significance Statement This commentary summarizes the current in vitro and in vivo literature regarding cytokine-mediated CYP suppression and compares the relative suppressive potential of different cytokines in reference to IL-6. It also discusses the relevance of drug-biologic interactions to therapeutic use of small molecule drugs and whether current PBPK models considering only IL-6 are sufficient to predict the extent of drug-biologic interactions.
Collapse
|
16
|
Adiwidjaja J, Adattini JA, Boddy AV, McLachlan AJ. Physiologically-Based Pharmacokinetic Modeling Approaches for Patients with SARS-CoV-2 Infection: A Case Study with Imatinib. J Clin Pharmacol 2022; 62:1285-1296. [PMID: 35460539 PMCID: PMC9088354 DOI: 10.1002/jcph.2065] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2022] [Accepted: 04/16/2022] [Indexed: 12/15/2022]
Abstract
Severe acute respiratory syndrome coronavirus 2 (SARS‐CoV‐2) infection, which causes coronavirus disease 2019 (COVID‐19), manifests as mild respiratory symptoms to severe respiratory failure and is associated with inflammation and other physiological changes. Of note, substantial increases in plasma concentrations of α1‐acid‐glycoprotein and interleukin‐6 have been observed among patients admitted to the hospital with advanced SARS‐CoV‐2 infection. A physiologically based pharmacokinetic (PBPK) approach is a useful tool to evaluate and predict disease‐related changes on drug pharmacokinetics. A PBPK model of imatinib has previously been developed and verified in healthy people and patients with cancer. In this study, the PBPK model of imatinib was successfully extrapolated to patients with SARS‐CoV‐2 infection by accounting for disease‐related changes in plasma α1‐acid‐glycoprotein concentrations and the potential drug interaction between imatinib and dexamethasone. The model demonstrated a good predictive performance in describing total and unbound imatinib concentrations in patients with SARS‐CoV‐2 infection. PBPK simulations highlight that an equivalent dose of imatinib may lead to substantially higher total drug concentrations in patients with SARS‐CoV‐2 infection compared to that in patients with cancer, while the unbound concentrations remain comparable between the 2 patient populations. This supports the notion that unbound trough concentration is a better exposure metric for dose adjustment of imatinib in patients with SARS‐CoV‐2 infection, compared to the corresponding total drug concentration. Potential strategies for refinement and generalization of the PBPK modeling approach in the patient population with SARS‐CoV‐2 are also provided in this article, which could be used to guide study design and inform dose adjustment in the future.
Collapse
Affiliation(s)
- Jeffry Adiwidjaja
- Sydney Pharmacy SchoolFaculty of Medicine and HealthThe University of SydneySydneyNew South WalesAustralia
- Division of Pharmacotherapy and Experimental TherapeuticsUNC Eshelman School of PharmacyUniversity of North Carolina at Chapel HillChapel HillNorth CarolinaUSA
| | - Josephine A. Adattini
- Sydney Pharmacy SchoolFaculty of Medicine and HealthThe University of SydneySydneyNew South WalesAustralia
| | - Alan V. Boddy
- UniSA Cancer Research Institute and UniSA Clinical & Health SciencesUniversity of South AustraliaAdelaideSouth AustraliaAustralia
| | - Andrew J. McLachlan
- Sydney Pharmacy SchoolFaculty of Medicine and HealthThe University of SydneySydneyNew South WalesAustralia
| |
Collapse
|
17
|
Berman E, Noyman I, Medvedovsky M, Ekstein D, Eyal S. Not your usual drug-drug interactions: Monoclonal antibody-based therapeutics may interact with antiseizure medications. Epilepsia 2021; 63:271-289. [PMID: 34967010 DOI: 10.1111/epi.17147] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2021] [Revised: 11/16/2021] [Accepted: 12/02/2021] [Indexed: 12/29/2022]
Abstract
Therapeutic monoclonal antibodies (mAbs) have emerged as the fastest growing drug class. As such, mAbs are increasingly being co-prescribed with other drugs, including antiseizure medications (ASMs). Although mAbs do not share direct targets or mechanisms of disposition with small-molecule drugs (SMDs), combining therapeutics of both types can increase the risk of adverse effects and treatment failure. The primary goal of this literature review was identifying mAb-ASM combinations requiring the attention of professionals who are treating patients with epilepsy. Systematic PubMed and Embase searches (1980-2021) were performed for terms relating to mAbs, ASMs, drug interactions, and their combinations. Additional information was obtained from documents from the US Food and Drug Administration (FDA) and the European Medicines Agency (EMA). Evidence was critically appraised - key issues calling for clinicians' consideration and important knowledge gaps were identified, and practice recommendations were developed by a group of pharmacists and epileptologists. The majority of interactions were attributed to the indirect effects of cytokine-modulating antibodies on drug metabolism. Conversely, strong inhibitors or inducers of drug-metabolizing enzymes or drug transporters could potentially interact with the cytotoxic payload of antibody-drug conjugates, and ASMs could alter mAb biodistribution. In addition, mAbs could potentiate adverse ASM effects. Unfortunately, few studies involved ASMs, requiring the formulation of class-based recommendations. Based on the current literature, most mAb-ASM interactions do not warrant special precautions. However, specific combinations should preferably be avoided, whereas others require monitoring and potentially adjustment of the ASM doses. Reduced drug efficacy or adverse effects could manifest days to weeks after mAb treatment onset or discontinuation, complicating the implication of drug interactions in potentially deleterious outcomes. Prescribers who treat patients with epilepsy should be familiar with mAb pharmacology to better anticipate potential mAb-ASM interactions and avoid toxicity, loss of seizure control, or impaired efficacy of mAb treatment.
Collapse
Affiliation(s)
- Erez Berman
- School of Pharmacy, Institute for Drug Research, The Hebrew University of Jerusalem, Jerusalem, Israel
| | - Iris Noyman
- Pediatric Neurology Unit, Soroka University Medical Center, Beer Sheva, Israel.,Faculty of Medicine, Ben-Gurion University of the Negev, Beer Sheva, Israel
| | - Mordekhay Medvedovsky
- Department of Neurology, Agnes Ginges Center of Human Neurogenetics, Hadassah Medical Organization, Jerusalem, Israel.,Faculty of Medicine, The Hebrew University of Jerusalem, Jerusalem, Israel
| | - Dana Ekstein
- Department of Neurology, Agnes Ginges Center of Human Neurogenetics, Hadassah Medical Organization, Jerusalem, Israel.,Faculty of Medicine, The Hebrew University of Jerusalem, Jerusalem, Israel
| | - Sara Eyal
- School of Pharmacy, Institute for Drug Research, The Hebrew University of Jerusalem, Jerusalem, Israel
| |
Collapse
|
18
|
Vider E, Gavioli EM. Clinical Safety Considerations of Integrase Strand Transfer Inhibitors in the Older Population Living with HIV. Drugs Aging 2021; 38:967-975. [PMID: 34494229 DOI: 10.1007/s40266-021-00894-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/20/2021] [Indexed: 10/20/2022]
Abstract
There are approximately 40 million people living with HIV globally, and 21% (7.9 million) are older adults (aged > 50 years) as of 2019. The average age of HIV-positive patients is predicted to increase to 58 by 2035. The favorable clinical efficacy of integrase strand transfer inhibitors has led to high rates of viral suppression and have now become the preferred agents by the AIDS guideline when initiating antiretroviral therapy. There are concerns of increasing adverse effects from HIV medications, such as integrase strand transfer inhibitors, as a result of changes in pharmacodynamic and pharmacokinetic parameters within the older population. The authors aim to describe the safety concerns of the current integrase strand transfer inhibitors based upon a narrative literature review, including recommendations for drug-drug interactions, and relevant comorbidities to consider for selection of the most appropriate integrase strand transfer inhibitor for older people living with HIV. Raltegravir is a well-tolerated option with minor adverse events; however, adherence to a twice-daily regimen may be difficult in older patients who are also taking many other medications for various comorbidities. Elvitegravir is also well tolerated with limited adverse effects, but has many drug-drug interactions that may pose problems for older patients with polypharmacy. Dolutegravir has been associated with more frequent adverse events, such as neuropsychiatric disorders.
Collapse
Affiliation(s)
- Etty Vider
- LIU Pharmacy (Arnold & Marie Schwartz College of Pharmacy and Health Sciences), 1 University Plaza, Brooklyn, NY, 11201, USA
| | - Elizabeth Marie Gavioli
- LIU Pharmacy (Arnold & Marie Schwartz College of Pharmacy and Health Sciences), 1 University Plaza, Brooklyn, NY, 11201, USA.
| |
Collapse
|