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Paliwal A, Jain S, Kumar S, Wal P, Khandai M, Khandige PS, Sadananda V, Anwer MK, Gulati M, Behl T, Srivastava S. Predictive Modelling in pharmacokinetics: from in-silico simulations to personalized medicine. Expert Opin Drug Metab Toxicol 2024; 20:181-195. [PMID: 38480460 DOI: 10.1080/17425255.2024.2330666] [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: 10/10/2023] [Accepted: 03/11/2024] [Indexed: 03/22/2024]
Abstract
INTRODUCTION Pharmacokinetic parameters assessment is a critical aspect of drug discovery and development, yet challenges persist due to limited training data. Despite advancements in machine learning and in-silico predictions, scarcity of data hampers accurate prediction of drug candidates' pharmacokinetic properties. AREAS COVERED The study highlights current developments in human pharmacokinetic prediction, talks about attempts to apply synthetic approaches for molecular design, and searches several databases, including Scopus, PubMed, Web of Science, and Google Scholar. The article stresses importance of rigorous analysis of machine learning model performance in assessing progress and explores molecular modeling (MM) techniques, descriptors, and mathematical approaches. Transitioning to clinical drug development, article highlights AI (Artificial Intelligence) based computer models optimizing trial design, patient selection, dosing strategies, and biomarker identification. In-silico models, including molecular interactomes and virtual patients, predict drug performance across diverse profiles, underlining the need to align model results with clinical studies for reliability. Specialized training for human specialists in navigating predictive models is deemed critical. Pharmacogenomics, integral to personalized medicine, utilizes predictive modeling to anticipate patient responses, contributing to more efficient healthcare system. Challenges in realizing potential of predictive modeling, including ethical considerations and data privacy concerns, are acknowledged. EXPERT OPINION AI models are crucial in drug development, optimizing trials, patient selection, dosing, and biomarker identification and hold promise for streamlining clinical investigations.
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Affiliation(s)
- Ajita Paliwal
- Department of Pharmacy, School of Medical and Allied Sciences, Galgotias University, Greater Noida, India
| | - Smita Jain
- Department of Pharmacy, Banasthali Vidyapith, Banasthali, India
| | - Sachin Kumar
- Department of Pharmacology, Delhi Pharmaceutical Sciences and Research University (DPSRU), New Delhi, India
| | - Pranay Wal
- Department of Pharmacy, Pranveer Singh Institute of Technology, Pharmacy, Kanpur, India
| | - Madhusmruti Khandai
- Department of Pharmacy, Royal College of Pharmacy and Health Sciences, Berahmpur, India
| | - Prasanna Shama Khandige
- NGSM Institute of Pharmaceutical Sciences, Department of Pharmacology, Manglauru, NITTE (Deemed to be University), Manglauru, India
| | - Vandana Sadananda
- AB Shetty Memorial Institute of Dental Sciences, Department of Conservative Dentistry and Endodontics, NITTE (Deemed to be University), Mangaluru, India
| | - Md Khalid Anwer
- Department of Pharmaceutics, College of Pharmacy, Prince Sattam Bin Abdulaziz University, Alkharj, Saudi Arabia
| | - Monica Gulati
- School of Pharmaceutical Sciences, Lovely Professional University, Phagwara, India
- ARCCIM, Health, University of Technology, Sydney, Ultimo, Australia
| | - Tapan Behl
- Amity School of Pharmaceutical Sciences, Amity University, Mohali, Punjab, India
| | - Shriyansh Srivastava
- Department of Pharmacy, School of Medical and Allied Sciences, Galgotias University, Greater Noida, India
- Department of Pharmacology, Delhi Pharmaceutical Sciences and Research University (DPSRU), New Delhi, India
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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.
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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
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3
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Jeong KB, Ryu M, Kim JS, Kim M, Yoo J, Chung M, Oh S, Jo G, Lee SG, Kim HM, Lee MK, Chi SW. Single-molecule fingerprinting of protein-drug interaction using a funneled biological nanopore. Nat Commun 2023; 14:1461. [PMID: 37015934 PMCID: PMC10073129 DOI: 10.1038/s41467-023-37098-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2022] [Accepted: 03/01/2023] [Indexed: 04/06/2023] Open
Abstract
In drug discovery, efficient screening of protein-drug interactions (PDIs) is hampered by the limitations of current biophysical approaches. Here, we develop a biological nanopore sensor for single-molecule detection of proteins and PDIs using the pore-forming toxin YaxAB. Using this YaxAB nanopore, we demonstrate label-free, single-molecule detection of interactions between the anticancer Bcl-xL protein and small-molecule drugs as well as the Bak-BH3 peptide. The long funnel-shaped structure and nanofluidic characteristics of the YaxAB nanopore enable the electro-osmotic trapping of diverse folded proteins and high-resolution monitoring of PDIs. Distinctive nanopore event distributions observed in the two-dimensional (ΔI/Io-versus-IN) plot illustrate the ability of the YaxAB nanopore to discriminate individual small-molecule drugs bound to Bcl-xL from non-binders. Taken together, our results present the YaxAB nanopore as a robust platform for label-free, ultrasensitive, single-molecule detection of PDIs, opening up a possibility for low-cost, highly efficient drug discovery against diverse drug targets.
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Affiliation(s)
- Ki-Baek Jeong
- Disease Target Structure Research Center, Division of Biomedical Research, Korea Research Institute of Bioscience and Biotechnology (KRIBB), Daejeon, 34141, Republic of Korea
- Critical Diseases Diagnostics Convergence Research Center, KRIBB, Daejeon, 34141, Republic of Korea
| | - Minju Ryu
- Disease Target Structure Research Center, Division of Biomedical Research, Korea Research Institute of Bioscience and Biotechnology (KRIBB), Daejeon, 34141, Republic of Korea
- Department of Proteome Structural Biology, KRIBB School of Bioscience, University of Science and Technology, Daejeon, 34113, Republic of Korea
| | - Jin-Sik Kim
- Disease Target Structure Research Center, Division of Biomedical Research, Korea Research Institute of Bioscience and Biotechnology (KRIBB), Daejeon, 34141, Republic of Korea
- Critical Diseases Diagnostics Convergence Research Center, KRIBB, Daejeon, 34141, Republic of Korea
| | - Minsoo Kim
- Department of Physics, Sungkyunkwan University, Suwon, Gyeonggi, 16419, Republic of Korea
| | - Jejoong Yoo
- Department of Physics, Sungkyunkwan University, Suwon, Gyeonggi, 16419, Republic of Korea
| | - Minji Chung
- Disease Target Structure Research Center, Division of Biomedical Research, Korea Research Institute of Bioscience and Biotechnology (KRIBB), Daejeon, 34141, Republic of Korea
| | - Sohee Oh
- Disease Target Structure Research Center, Division of Biomedical Research, Korea Research Institute of Bioscience and Biotechnology (KRIBB), Daejeon, 34141, Republic of Korea
| | - Gyunghee Jo
- Center for Biomolecular and Cellular Structure, Institute for Basic Science (IBS), Daejeon, 34126, Republic of Korea
| | - Seong-Gyu Lee
- Center for Biomolecular and Cellular Structure, Institute for Basic Science (IBS), Daejeon, 34126, Republic of Korea
| | - Ho Min Kim
- Center for Biomolecular and Cellular Structure, Institute for Basic Science (IBS), Daejeon, 34126, Republic of Korea
- Graduate School of Medical Science and Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, 34141, Republic of Korea
| | - Mi-Kyung Lee
- Disease Target Structure Research Center, Division of Biomedical Research, Korea Research Institute of Bioscience and Biotechnology (KRIBB), Daejeon, 34141, Republic of Korea.
- Critical Diseases Diagnostics Convergence Research Center, KRIBB, Daejeon, 34141, Republic of Korea.
- Department of Proteome Structural Biology, KRIBB School of Bioscience, University of Science and Technology, Daejeon, 34113, Republic of Korea.
| | - Seung-Wook Chi
- Disease Target Structure Research Center, Division of Biomedical Research, Korea Research Institute of Bioscience and Biotechnology (KRIBB), Daejeon, 34141, Republic of Korea.
- Department of Proteome Structural Biology, KRIBB School of Bioscience, University of Science and Technology, Daejeon, 34113, Republic of Korea.
- School of Pharmacy, Sungkyunkwan University, Suwon, Gyeonggi, 16419, Republic of Korea.
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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.
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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
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Humphreys SC, Davis JA, Iqbal S, Kamel A, Kulmatycki K, Lao Y, Liu X, Rodgers J, Snoeys J, Vigil A, Weng Y, Wiethoff CM, Wittwer MB. Considerations and recommendations for assessment of plasma protein binding and drug-drug interactions for siRNA therapeutics. Nucleic Acids Res 2022; 50:6020-6037. [PMID: 35687098 PMCID: PMC9226521 DOI: 10.1093/nar/gkac456] [Citation(s) in RCA: 19] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2021] [Revised: 04/25/2022] [Accepted: 06/06/2022] [Indexed: 11/12/2022] Open
Abstract
At the time of writing, although siRNA therapeutics are approved for human use, no official regulatory guidance specific to this modality is available. In the absence of guidance, preclinical development for siRNA followed a hybrid of the small molecule and biologics guidance documents. However, siRNA differs significantly from small molecules and protein-based biologics in its physicochemical, absorption, distribution, metabolism and excretion properties, and its mechanism of action. Consequently, certain reports typically included in filing packages for small molecule or biologics may benefit from adaption, or even omission, from an siRNA filing. In this white paper, members of the 'siRNA working group' in the IQ Consortium compile a list of reports included in approved siRNA filing packages and discuss the relevance of two in vitro reports-the plasma protein binding evaluation and the drug-drug interaction risk assessment-to support siRNA regulatory filings. Publicly available siRNA approval packages and the literature were systematically reviewed to examine the role of siRNA plasma protein binding and drug-drug interactions in understanding pharmacokinetic/pharmacodynamic relationships, safety and translation. The findings are summarized into two decision trees to help guide industry decide when in vitro siRNA plasma protein binding and drug-drug interaction studies are warranted.
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Affiliation(s)
| | - John A Davis
- PKS Department, Novartis, Cambridge, MA 02139, USA
| | | | - Amin Kamel
- Global DMPK, Takeda, San Diego, CA 92121, USA
| | | | - Yanbin Lao
- DMPK, Pharmaceutical Candidate Optimization, Bristol-Myers Squibb, Princeton, NJ 08648, USA
| | - Xiumin Liu
- Early Development, Alnylam Pharmaceuticals, Inc., Cambridge, MA 02142, USA
| | - John Rodgers
- PKDM Department, Amgen Inc., South San Francisco, CA 94080, USA
| | - Jan Snoeys
- DMPK Department, Janssen R&D, Beerse 2340, Belgium
| | - Adam Vigil
- DMPK, Boehringer Ingelheim Pharmaceuticals Inc., Ridgefield, CT 06877, USA
| | - Yan Weng
- Early Clinical Development Clinical Pharmacology Department, Pfizer, Cambridge, MA 02139, USA
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6
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Lai Y, Chu X, Di L, Gao W, Guo Y, Liu X, Lu C, Mao J, Shen H, Tang H, Xia CQ, Zhang L, Ding X. Recent advances in the translation of drug metabolism and pharmacokinetics science for drug discovery and development. Acta Pharm Sin B 2022; 12:2751-2777. [PMID: 35755285 PMCID: PMC9214059 DOI: 10.1016/j.apsb.2022.03.009] [Citation(s) in RCA: 25] [Impact Index Per Article: 12.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2021] [Revised: 11/07/2021] [Accepted: 11/10/2021] [Indexed: 02/08/2023] Open
Abstract
Drug metabolism and pharmacokinetics (DMPK) is an important branch of pharmaceutical sciences. The nature of ADME (absorption, distribution, metabolism, excretion) and PK (pharmacokinetics) inquiries during drug discovery and development has evolved in recent years from being largely descriptive to seeking a more quantitative and mechanistic understanding of the fate of drug candidates in biological systems. Tremendous progress has been made in the past decade, not only in the characterization of physiochemical properties of drugs that influence their ADME, target organ exposure, and toxicity, but also in the identification of design principles that can minimize drug-drug interaction (DDI) potentials and reduce the attritions. The importance of membrane transporters in drug disposition, efficacy, and safety, as well as the interplay with metabolic processes, has been increasingly recognized. Dramatic increases in investments on new modalities beyond traditional small and large molecule drugs, such as peptides, oligonucleotides, and antibody-drug conjugates, necessitated further innovations in bioanalytical and experimental tools for the characterization of their ADME properties. In this review, we highlight some of the most notable advances in the last decade, and provide future perspectives on potential major breakthroughs and innovations in the translation of DMPK science in various stages of drug discovery and development.
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Affiliation(s)
- Yurong Lai
- Drug Metabolism, Gilead Sciences Inc., Foster City, CA 94404, USA
| | - Xiaoyan Chu
- Department of Pharmacokinetics, Pharmacodynamics and Drug Metabolism, Merck & Co., Inc., Kenilworth, NJ 07033, USA
| | - Li Di
- Pharmacokinetics, Dynamics and Metabolism, Pfizer Worldwide Research and Development, Groton, CT 06340, USA
| | - Wei Gao
- Department of Pharmacokinetics, Pharmacodynamics and Drug Metabolism, Merck & Co., Inc., Kenilworth, NJ 07033, USA
| | - Yingying Guo
- Eli Lilly and Company, Indianapolis, IN 46221, USA
| | - Xingrong Liu
- Drug Metabolism and Pharmacokinetics, Biogen, Cambridge, MA 02142, USA
| | - Chuang Lu
- Drug Metabolism and Pharmacokinetics, Accent Therapeutics, Inc. Lexington, MA 02421, USA
| | - Jialin Mao
- Department of Drug Metabolism and Pharmacokinetics, Genentech, A Member of the Roche Group, South San Francisco, CA 94080, USA
| | - Hong Shen
- Drug Metabolism and Pharmacokinetics Department, Bristol-Myers Squibb Company, Princeton, NJ 08540, USA
| | - Huaping Tang
- Bioanalysis and Biomarkers, Glaxo Smith Kline, King of the Prussia, PA 19406, USA
| | - Cindy Q. Xia
- Department of Drug Metabolism and Pharmacokinetics, Takeda Pharmaceuticals International Co., Cambridge, MA 02139, USA
| | - Lei Zhang
- Office of Research and Standards, Office of Generic Drugs, CDER, FDA, Silver Spring, MD 20993, USA
| | - Xinxin Ding
- Department of Pharmacology and Toxicology, College of Pharmacy, University of Arizona, Tucson, AZ 85721, USA
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Applications, Challenges, and Outlook for PBPK Modeling and Simulation: A Regulatory, Industrial and Academic Perspective. Pharm Res 2022; 39:1701-1731. [PMID: 35552967 DOI: 10.1007/s11095-022-03274-2] [Citation(s) in RCA: 34] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2022] [Accepted: 04/25/2022] [Indexed: 12/20/2022]
Abstract
Several regulatory guidances on the use of physiologically based pharmacokinetic (PBPK) analyses and physiologically based biopharmaceutics model(s) (PBBM(s)) have been issued. Workshops are routinely held, demonstrating substantial interest in applying these modeling approaches to address scientific questions in drug development. PBPK models and PBBMs have remarkably contributed to model-informed drug development (MIDD) such as anticipating clinical PK outcomes affected by extrinsic and intrinsic factors in general and specific populations. In this review, we proposed practical considerations for a "base" PBPK model construction and development, summarized current status, challenges including model validation and gaps in system models, and future perspectives in PBPK evaluation to assess a) drug metabolizing enzyme(s)- or drug transporter(s)- mediated drug-drug interactions b) dosing regimen prediction, sampling timepoint selection and dose validation in pediatric patients from newborns to adolescents, c) drug exposure in patients with renal and/or and hepatic organ impairment, d) maternal-fetal drug disposition during pregnancy, and e) pH-mediated drug-drug interactions in patients treated with proton pump inhibitors/acid-reducing agents (PPIs/ARAs) intended for gastric protection. Since PBPK can simulate outcomes in clinical studies with enrollment challenges or ethical issues, the impact of PBPK models on waivers and how to strengthen study waiver is discussed.
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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.
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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
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9
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Dunvald ACD, Järvinen E, Mortensen C, Stage TB. Clinical and Molecular Perspectives on Inflammation-Mediated Regulation of Drug Metabolism and Transport. Clin Pharmacol Ther 2021; 112:277-290. [PMID: 34605009 DOI: 10.1002/cpt.2432] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2021] [Accepted: 09/27/2021] [Indexed: 12/12/2022]
Abstract
Inflammation is a possible cause of variability in drug response and toxicity due to altered regulation in drug-metabolizing enzymes and transporters (DMETs) in humans. Here, we evaluate the clinical and in vitro evidence on inflammation-mediated modulation of DMETs, and the impact on drug metabolism in humans. Furthermore, we identify and discuss the gaps in our current knowledge. A systematic literature search on PubMed, Embase, and grey literature was performed in the period of February to September 2020. A total of 203 papers was included. In vitro studies in primary human hepatocytes revealed strong evidence that CYP3A4 is strongly downregulated by inflammatory cytokines IL-6 and IL-1β. CYP1A2, CYP2C9, CYP2C19, and CYP2D6 were downregulated to a lesser extent. In clinical studies, acute and chronic inflammatory diseases were observed to cause downregulation of CYP enzymes in a similar pattern. However, there is no clear correlation between in vitro studies and clinical studies, mainly because most in vitro studies use supraphysiological cytokine doses. Moreover, clinical studies demonstrate considerable variability in terms of methodology and inconsistencies in evaluation of the inflammatory state. In conclusion, we find inflammation and pro-inflammatory cytokines to be important factors in regulation of drug-metabolizing enzymes and transporters. The observed downregulation is clinically relevant, and we emphasize caution when treating patients in an inflammatory state with narrow therapeutic index drugs. Further research is needed to identify the full extent of inflammation-mediated changes in DMETs and to further support personalized medicine.
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Affiliation(s)
- Ann-Cathrine Dalgård Dunvald
- Clinical Pharmacology, Pharmacy, and Environmental Medicine, Department of Public Health, University of Southern Denmark, Odense C, Denmark
| | - Erkka Järvinen
- Clinical Pharmacology, Pharmacy, and Environmental Medicine, Department of Public Health, University of Southern Denmark, Odense C, Denmark
| | - Christina Mortensen
- Clinical Pharmacology, Pharmacy, and Environmental Medicine, Department of Public Health, University of Southern Denmark, Odense C, Denmark
| | - Tore B Stage
- Clinical Pharmacology, Pharmacy, and Environmental Medicine, Department of Public Health, University of Southern Denmark, Odense C, Denmark
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10
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Wang L, Chen Y, Zhou W, Miao X, Zhou H. Utilization of physiologically-based pharmacokinetic model to assess disease-mediated therapeutic protein-disease-drug interaction in immune-mediated inflammatory diseases. Clin Transl Sci 2021; 15:464-476. [PMID: 34581012 PMCID: PMC8841519 DOI: 10.1111/cts.13164] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2021] [Revised: 08/30/2021] [Accepted: 09/06/2021] [Indexed: 11/30/2022] Open
Abstract
It is known that interleukin-6 (IL-6) can significantly modulate some key drug-metabolizing enzymes, such as phase I cytochrome P450s (CYPs). In this study, a physiologically-based pharmacokinetic (PBPK) model was developed to assess CYPs mediated therapeutic protein drug interactions (TP-DIs) in patients with immune-mediated inflammatory diseases (IMIDs) with elevated systemic IL-6 levels when treated by anti-IL-6 therapies. Literature data of IL-6 levels in various diseases were incorporated in SimCYP to construct respective virtual patient populations. The modulation effects of systemic IL-6 level and local IL-6 level in the gastrointestinal tract (GI) on CYPs activities were assessed. Upon blockade of the IL-6 signaling pathway by an anti-IL-6 treatment, the area under plasma concentration versus time curves (AUCs) of S-warfarin, omeprazole, and midazolam were predicted to decrease by up to 40%, 42%, and 46%, respectively. In patients with Crohn's disease and ulcerative colitis treated with an anti-IL-6 therapy, the lowering of the elevated IL-6 levels in the local GI tissue were predicted to result in further decreases in AUCs of those CYP substrates. The propensity of TP-DIs under comorbidity conditions, such as in patients with cancer with IMID, were also explored. With further validation with relevant clinical data, this PBPK model may provide an in silico way to quantify the magnitude of potential TP-DI in patients with elevated IL-6 levels when an anti-IL-6 therapeutic is used with concomitant small-molecule drugs. This model may be further adapted to evaluate the CYP modulation effect by other therapeutic modalities, which would significantly alter levels of proinflammatory cytokines during the treatment period.
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Affiliation(s)
- Lujing Wang
- Clinical Pharmacology and Pharmacometrics, Janssen Research & Development, LLC, Spring House, Pennsylvania, USA.,Department of Pharmaceutics, Ernest Mario School of Pharmacy, Rutgers, The State University of New Jersey, Piscataway, New Jersey, USA
| | - Yang Chen
- Clinical Pharmacology and Pharmacometrics, Janssen Research & Development, LLC, Spring House, Pennsylvania, USA
| | - Wangda Zhou
- Clinical Pharmacology and Pharmacometrics, Janssen Research & Development, LLC, Spring House, Pennsylvania, USA
| | - Xin Miao
- Clinical Pharmacology and Pharmacometrics, Janssen Research & Development, LLC, Spring House, Pennsylvania, USA
| | - Honghui Zhou
- Clinical Pharmacology and Pharmacometrics, Janssen Research & Development, LLC, Spring House, Pennsylvania, USA
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11
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Wen H, Chen D, Lu J, Jiao Z, Chen B, Zhang B, Ye C, Liu L. Probable Drug Interaction Between Etanercept and Cyclosporine Resulting in Clinically Unexpected Low Trough Concentrations: First Case Report. Front Pharmacol 2020; 11:939. [PMID: 32676025 PMCID: PMC7333231 DOI: 10.3389/fphar.2020.00939] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2020] [Accepted: 06/09/2020] [Indexed: 11/13/2022] Open
Abstract
Preclinical studies have shown that anti-cytokine therapies could alter drug dispositions through affecting cytochrome P450 synthesis; however, evidence and case reports evaluating clinical relevance of this interaction are scarce. This is the first reported case of interaction between cyclosporine (CsA) and etanercept in a 42-year-old male patient with ankylosing spondylitis and immunoglobulin A nephropathy in whom cytokine levels were monitored both before and after CsA initiation. The initiation of etanercept led to at least 2.5-folds increase in total clearance of CsA. After comprehensive assessment and stepwise exclusion of alternative causes, it was considered that inflammation resolution with etanercept administration has highly induced clearance of CsA, probably mediated by interleukin-2. The case has shown that co-administration of CsA and anti-cytokine therapies such as etanercept needs close monitoring of trough levels. Physicians and pharmacists should be aware of similar interactions especially when the biological therapy is initiated or discontinued and for patients undergoing acute inflammation phase. Monitoring cytokine levels should be considered when drug-cytokine interaction is suspected.
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Affiliation(s)
- Haini Wen
- Department of Clinical Pharmacy, Pharmacy, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Dongping Chen
- Department of Nephrology, TCM Institute of Kidney Disease, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Jiaqian Lu
- Department of Pharmacy, Ruijin Hospital Affiliated to Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Zheng Jiao
- Department of Pharmacy, The Chest Hospital Affiliated to Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Bin Chen
- Department of Pharmacy, Ruijin Hospital Affiliated to Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Bin Zhang
- Department of Clinical Laboratory, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Chaoyang Ye
- Department of Nephrology, TCM Institute of Kidney Disease, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Li Liu
- Department of Clinical Pharmacy, Pharmacy, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, China
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