1
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Rao M, McDuffie E, Srivastava S, Plaisted W, Sachs C. Safety Implications of Modulating Nuclear Receptors: A Comprehensive Analysis from Non-Clinical and Clinical Perspectives. Pharmaceuticals (Basel) 2024; 17:875. [PMID: 39065726 PMCID: PMC11279859 DOI: 10.3390/ph17070875] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2024] [Revised: 06/13/2024] [Accepted: 06/27/2024] [Indexed: 07/28/2024] Open
Abstract
The unintended modulation of nuclear receptor (NR) activity by drugs can lead to toxicities amongst the endocrine, gastrointestinal, hepatic cardiovascular, and central nervous systems. While secondary pharmacology screening assays include NRs, safety risks due to unintended interactions of small molecule drugs with NRs remain poorly understood. To identify potential nonclinical and clinical safety effects resulting from functional interactions with 44 of the 48 human-expressed NRs, we conducted a systematic narrative review of the scientific literature, tissue expression data, and used curated databases (OFF-X™) (Off-X, Clarivate) to organize reported toxicities linked to the functional modulation of NRs in a tabular and machine-readable format. The top five NRs associated with the highest number of safety alerts from peer-reviewed journals, regulatory agency communications, congresses/conferences, clinical trial registries, and company communications were the Glucocorticoid Receptor (GR, 18,328), Androgen Receptor (AR, 18,219), Estrogen Receptor (ER, 12,028), Retinoic acid receptors (RAR, 10,450), and Pregnane X receptor (PXR, 8044). Toxicities associated with NR modulation include hepatotoxicity, cardiotoxicity, endocrine disruption, carcinogenicity, metabolic disorders, and neurotoxicity. These toxicities often arise from the dysregulation of receptors like Peroxisome proliferator-activated receptors (PPARα, PPARγ), the ER, PXR, AR, and GR. This dysregulation leads to various health issues, including liver enlargement, hepatocellular carcinoma, heart-related problems, hormonal imbalances, tumor growth, metabolic syndromes, and brain function impairment. Gene expression analysis using heatmaps for human and rat tissues complemented the functional modulation of NRs associated with the reported toxicities. Interestingly, certain NRs showed ubiquitous expression in tissues not previously linked to toxicities, suggesting the potential utilization of organ-specific NR interactions for therapeutic purposes.
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Affiliation(s)
- Mohan Rao
- Toxicology Department, Neurocrine Biosciences, Inc., San Diego, CA 92130, USA (C.S.)
| | - Eric McDuffie
- Toxicology Department, Neurocrine Biosciences, Inc., San Diego, CA 92130, USA (C.S.)
| | - Sanjay Srivastava
- Chemistry Department, Neurocrine Biosciences, Inc., San Diego, CA 92130, USA
| | - Warren Plaisted
- Biology Department, Neurocrine Biosciences, Inc., San Diego, CA 92130, USA
| | - Clifford Sachs
- Toxicology Department, Neurocrine Biosciences, Inc., San Diego, CA 92130, USA (C.S.)
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2
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Brennan RJ, Jenkinson S, Brown A, Delaunois A, Dumotier B, Pannirselvam M, Rao M, Ribeiro LR, Schmidt F, Sibony A, Timsit Y, Sales VT, Armstrong D, Lagrutta A, Mittlestadt SW, Naven R, Peri R, Roberts S, Vergis JM, Valentin JP. The state of the art in secondary pharmacology and its impact on the safety of new medicines. Nat Rev Drug Discov 2024; 23:525-545. [PMID: 38773351 DOI: 10.1038/s41573-024-00942-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/05/2024] [Indexed: 05/23/2024]
Abstract
Secondary pharmacology screening of investigational small-molecule drugs for potentially adverse off-target activities has become standard practice in pharmaceutical research and development, and regulatory agencies are increasingly requesting data on activity against targets with recognized adverse effect relationships. However, the screening strategies and target panels used by pharmaceutical companies may vary substantially. To help identify commonalities and differences, as well as to highlight opportunities for further optimization of secondary pharmacology assessment, we conducted a broad-ranging survey across 18 companies under the auspices of the DruSafe leadership group of the International Consortium for Innovation and Quality in Pharmaceutical Development. Based on our analysis of this survey and discussions and additional research within the group, we present here an overview of the current state of the art in secondary pharmacology screening. We discuss best practices, including additional safety-associated targets not covered by most current screening panels, and present approaches for interpreting and reporting off-target activities. We also provide an assessment of the safety impact of secondary pharmacology screening, and a perspective on opportunities and challenges in this rapidly developing field.
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Affiliation(s)
| | | | | | | | | | | | - Mohan Rao
- Janssen Research & Development, San Diego, CA, USA
- Neurocrine Biosciences, San Diego, CA, USA
| | - Lyn Rosenbrier Ribeiro
- UCB Biopharma, Braine-l'Alleud, Belgium
- AstraZeneca, Cambridge, UK
- Grunenthal, Berkshire, UK
| | | | | | - Yoav Timsit
- Novartis Biomedical Research, Cambridge, MA, USA
- Blueprint Medicines, Cambridge, MA, USA
| | | | - Duncan Armstrong
- Novartis Biomedical Research, Cambridge, MA, USA
- Armstrong Pharmacology, Macclesfield, UK
| | | | | | - Russell Naven
- Takeda Pharmaceuticals, Cambridge, MA, USA
- Novartis Biomedical Research, Cambridge, MA, USA
| | - Ravikumar Peri
- Takeda Pharmaceuticals, Cambridge, MA, USA
- Alexion Pharmaceuticals, Wilmington, DE, USA
| | - Sonia Roberts
- Roche Pharma Research and Early Development, Roche Innovation Center, Basel, Switzerland
| | - James M Vergis
- Faegre Drinker Biddle and Reath, LLP, Washington, DC, USA
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3
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Dumotier BM, Urban L. Preclinical mitigation of 5-HT2B agonism-related cardiac valvulopathy revisited. J Pharmacol Toxicol Methods 2024; 128:107542. [PMID: 39032441 DOI: 10.1016/j.vascn.2024.107542] [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: 05/16/2024] [Accepted: 07/09/2024] [Indexed: 07/23/2024]
Abstract
Cardiac valvulopathy (Cardiac Valve Disease; CVD) associated with off-target activation of the 5-hydroxytryptamine (5-HT) 2B receptor has been well recognized, but is still poorly predicted during drug development. The regulatory guidance proposes the use of 5-HT2B binding data (i.e., Ki values) and free maximum therapeutic exposure (Cmax) to calculate safety margins as a threshold of detection (>10) for eliminating the risk of drug-induced cardiac valvulopathy. In this paper, we provide additional recommendations for preclinical prediction of CVD risk based on clinical pharmacodynamic and pharmacokinetic data obtained from drugs with or without 5-HT2B receptor activation. Our investigations showed that 5-HT2B agonist affinity of molecules tested in an in vitro 5-HT2B cell-based functional assay, placed in perspective to their sustained plasma exposure (AUCs) and not to their peak plasma exposure, Cmax (i.e., maximum therapeutic exposure) provide a solid basis for interpreting 5-HT2B data, for calculating safety margins and then, accurately differentiate drugs associated with a clinical risk of CVD from those which are not (despite having some agonist 5-HT2B activity). In addition, we discuss the risk of multi-organ fibrosis linked to 5-HT2B receptor activation, often underestimated, however well reported in FAERS for 5-HT2B agonists. We believe that our recommendations have the potential to mitigate the risk for the clinical development of CVD and fibrosis.
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Affiliation(s)
- Bérengère M Dumotier
- Novartis Biomedical Research, Translational Medicine, Preclinical Safety, Basel CH-4056, Switzerland.
| | - Laszlo Urban
- Novartis Biomedical Research, Translational Medicine, Preclinical Safety, Cambridge, MA 02139, United States
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4
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Brown AP, Friedrichs GS, Tang HM, Traebert M, Weber V, Yao N, Yan GX. Electrophysiological Changes in the Rabbit Ventricular Wedge and Human-Induced Pluripotent Stem-Cell Derived (IPSC) Cardiomyocytes Translate to Severe Arrhythmia Observed in a Canine Toxicology Study, Not Predicted by Standard In Vitro Ion Channel Assays. Int J Toxicol 2024; 43:231-242. [PMID: 38327194 DOI: 10.1177/10915818241230900] [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] [Indexed: 02/09/2024]
Abstract
During drug discovery, small molecules are typically assayed in vitro for secondary pharmacology effects, which include ion channels relevant to cardiac electrophysiology. Compound A was an irreversible inhibitor of myeloperoxidase investigated for the treatment of peripheral artery disease. Oral doses in dogs at ≥5 mg/kg resulted in cardiac arrhythmias in a dose-dependent manner (at Cmax, free ≥1.53 μM) that progressed in severity with time. Nevertheless, a panel of 13 different cardiac ion channel (K, Na, and Ca) assays, including hERG, failed to identify pharmacologic risks of the molecule. Compound A and a related Compound B were evaluated for electrophysiological effects in the isolated rabbit ventricular wedge assay. Compounds A and B prolonged QT and Tp-e intervals at ≥1 and ≥.3 μM, respectively, and both prolonged QRS at ≥5 μM. Compound A produced early after depolarizations and premature ventricular complexes at ≥5 μM. These data indicate both compounds may be modulating hERG (Ikr) and Nav1.5 ion channels. In human IPSC cardiomyocytes, Compounds A and B prolonged field potential duration at ≥3 μM and induced cellular dysrhythmia at ≥10 and ≥3 μM, respectively. In a rat toxicology study, heart tissue: plasma concentration ratios for Compound A were ≥19X at 24 hours post-dose, indicating significant tissue distribution. In conclusion, in vitro ion channel assays may not always identify cardiovascular electrophysiological risks observed in vivo, which can be affected by tissue drug distribution. Risk for arrhythmia may increase with a "trappable" ion channel inhibitor, particularly if cardiac tissue drug levels achieve a critical threshold for pharmacologic effects.
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Affiliation(s)
- Alan P Brown
- Novartis Biomedical Research, Cambridge, MA, USA
| | | | | | | | | | - Nancy Yao
- Novartis Biomedical Research, East Hanover, NJ, USA
| | - Gan-Xin Yan
- Lankenau Institute for Medical Research, Wynnewood, PA, USA
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5
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Berridge B, Pierson J, Pettit S, Stockbridge N. Challenging the status quo: a framework for mechanistic and human-relevant cardiovascular safety screening. FRONTIERS IN TOXICOLOGY 2024; 6:1352783. [PMID: 38590785 PMCID: PMC10999590 DOI: 10.3389/ftox.2024.1352783] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2023] [Accepted: 03/11/2024] [Indexed: 04/10/2024] Open
Abstract
Traditional approaches to preclinical drug safety assessment have generally protected human patients from unintended adverse effects. However, these assessments typically occur too late to make changes in the formulation or in phase 1 and beyond, are highly dependent on animal studies and have the potential to lead to the termination of useful drugs due to liabilities in animals that are not applicable in patients. Collectively, these elements come at great detriment to both patients and the drug development sector. This phenomenon is particularly problematic in the area of cardiovascular safety assessment where preclinical attrition is high. We believe that a more efficient and translational approach can be defined. A multi-tiered assessment that leverages our understanding of human cardiovascular biology, applies human cell-based in vitro characterizations of cardiovascular responses to insult, and incorporates computational models of pharmacokinetic relationships would enable earlier and more translational identification of human-relevant liabilities. While this will take time to develop, the ultimate goal would be to implement such assays both in the lead selection phase as well as through regulatory phases.
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Affiliation(s)
| | - Jennifer Pierson
- Health and Environmental Sciences Institute, Washington, DC, United States
| | - Syril Pettit
- Health and Environmental Sciences Institute, Washington, DC, United States
| | - Norman Stockbridge
- US Food and Drug Administration, Center for Drug Evaluation and Research, Silver Spring, MD, United States
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6
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Mansouri M, Fussenegger M. Small-Molecule Regulators for Gene Switches to Program Mammalian Cell Behaviour. Chembiochem 2024; 25:e202300717. [PMID: 38081780 DOI: 10.1002/cbic.202300717] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2023] [Revised: 12/11/2023] [Indexed: 01/13/2024]
Abstract
Synthetic or natural small molecules have been extensively employed as trigger signals or inducers to regulate engineered gene circuits introduced into living cells in order to obtain desired outputs in a controlled and predictable manner. Here, we provide an overview of small molecules used to drive synthetic-biology-based gene circuits in mammalian cells, together with examples of applications at different levels of control, including regulation of DNA manipulation, RNA synthesis and editing, and protein synthesis, maturation, and trafficking. We also discuss the therapeutic potential of these small-molecule-responsive gene circuits, focusing on the advantages and disadvantages of using small molecules as triggers, the mechanisms involved, and the requirements for selecting suitable molecules, including efficiency, specificity, orthogonality, and safety. Finally, we explore potential future directions for translation of these devices to clinical medicine.
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Affiliation(s)
- Maysam Mansouri
- ETH Zurich, Department of Biosystems Science and Engineering, Klingelbergstrasse 48, CH-4056, Basel, Switzerland
| | - Martin Fussenegger
- ETH Zurich, Department of Biosystems Science and Engineering, Klingelbergstrasse 48, CH-4056, Basel, Switzerland
- University of Basel, Faculty of Science, Klingelbergstrasse 48, CH-4056, Basel, Switzerland
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7
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Salem MB, Saleh AM, Seif El-Din SH, Samir S, Hammam OA, El-Lakkany NM. Molecular docking, characterization, ADME/toxicity prediction, and anti-ulcer activity of new quercetin derivatives on indomethacin-induced gastric ulcer in mice. Toxicol Appl Pharmacol 2024; 484:116880. [PMID: 38447874 DOI: 10.1016/j.taap.2024.116880] [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: 10/16/2023] [Revised: 02/22/2024] [Accepted: 02/28/2024] [Indexed: 03/08/2024]
Abstract
Gastric ulcer (GU) is a serious upper gastrointestinal tract disorder that affects people worldwide. The drugs now available for GU treatment have a high rate of relapses and drug interactions, as well as mild to severe side effects. As a result, new natural therapeutic medications for treating GU with fewer negative side effects are desperately needed. Because of quercetin's (QCT) diverse pharmacological effects and unique structural features, we decided to semi-synthesize new QCT derivatives and test them for antiulcer activity. Docking assays were performed on the synthesized compounds to determine their affinity for TLR-4/MD-2, MyD88/TIR, and NF-κB domains, an important inflammatory pathway involved in GU development and progression. Mice were given oral famotidine (40 mg/kg/day), QCT, QCT pentamethyl (QPM), or QCT pentaacetyl (QPA) (50 mg/kg/day) for 5 days before GU induction by a single intraperitoneal injection of indomethacin (INDO; 18 mg/kg). QPM and QPA have a stronger binding affinity for TLR-4/MD-2, MyD88/TIR and NF-κB domains than QCT. In comparison, they demonstrated the greatest reduction in ulcer score and index, gastric MDA and nitric oxide (NO) contents, MyD88 and NF-κB expressions, and gastric TLR-4 immunostaining. They also enhanced the levels of GSH, CAT, COX-1, and COX-2 in the gastric mucosa, as well as HO-1 and Nrf2 expression, with histological regression in gastric mucosal lesions, with QPA-treated mice demonstrating the best GU healing. QPA is safe against all of the target organs and adverse pathways studied, with good ADME properties. However, further in vitro experiments are necessary to demonstrate the inhibitory effects of QPM and QPA on the protein targets of interest. In addition, preclinical research on its bioavailability and safety is essential before clinical management can be undertaken. Overall, the new QPA derivative could one day serve as the basis for a new class of potential antiulcer drugs.
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Affiliation(s)
- Maha B Salem
- Pharmacology Department, Theodor Bilharz Research Institute, Giza, Egypt.
| | - Abdulrahman M Saleh
- Pharmaceutical Medicinal Chemistry & Drug Design Department, Faculty of pharmacy (Boys), Al-Azhar University, Cairo, Egypt
| | | | - Safia Samir
- Biochemistry and Molecular Biology Department, Theodor Bilharz Research Institute, Giza, Egypt
| | - Olfat A Hammam
- Pathology Department, Theodor Bilharz Research Institute, Giza, Egypt
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8
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Gamalo M, Zhao Y, Gao A, Ye J, Lin J, Eshida E, Choi Y, Nelson R. Extent of safety database in pediatric drug development: types of assessment, analytical precision, and pathway for extrapolation through on-target effects. J Biopharm Stat 2023; 33:770-785. [PMID: 36843283 DOI: 10.1080/10543406.2023.2172425] [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: 01/20/2023] [Accepted: 01/20/2023] [Indexed: 02/28/2023]
Abstract
Pediatric patients should have access to medicines that have been appropriately evaluated for safety and efficacy through revised labelling. Given this goal, the adequacy of the pediatric clinical development plan and resulting safety database are critical factors to inform a favorable benefit-risk assessment for the intended use of the medicinal product. While extrapolation from adults can be used to support efficacy of drugs in children, there may be a reluctance to use the same approach in safety assessments, wiping out potential gains in trial efficiency through a reduction of sample size. To address this issue, we explore safety review in pediatric trials, including specific types of safety assessments and precision on the estimation of event rates for specific adverse events (AEs) that can be achieved. In addition, we discuss the assessments which can provide a benchmark for the use of extrapolation of safety that focuses on on-target effects. Finally, we explore a unified approach for understanding precision using Bayesian approaches as the most appropriate methodology to describe or ascertain risk in probabilistic terms for the estimate of the event rate of specific AEs.
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Affiliation(s)
| | | | - Aijun Gao
- Alexion Pharmaceuticals, Boston, MA, USA
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9
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Bhowmik P, Baezid HM, Arabi II. Assessment of antidiabetic activity of three Phenylspirodrimanes from fungus Stachybotrys chartarum MUT 3308 by ADME, QSAR, molecular docking and molecular dynamics simulation studies against protein tyrosine phosphatase 1B (PTP1B). J Biomol Struct Dyn 2023:1-15. [PMID: 37698508 DOI: 10.1080/07391102.2023.2256410] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2023] [Accepted: 08/24/2023] [Indexed: 09/13/2023]
Abstract
Phenylspirodrimanes (PSD) are the sesquiterpene quinone type meroterpenoids found in nature. PSDs are found to exhibit inhibitory activity against immunocomplex diseases, and tyrosine kinase receptors. Three of the different PSDs C1, C2, and C3 that have been reported to be isolated from the sponge-associated fungus Stachybotrys chartarum MUT 3308 are selected for studying their possible inhibitory effect against type 2 diabetes mellitus. Mechanistically, blocking protein tyrosine phosphatase 1B (PTP1B) helps to reduce the insulin resistance induction caused by the high expression of PTP1B. The QSAR, ADME, toxicity (T) study was carried out to predict the pharmacokinetic properties and the biological activities of the PSDs. PASS prediction web tool was used to find and select the target proteins 1NNY, and 2HNP. According to the molecular docking simulations, C1 and C2 showed better binding affinity of -8.5 kcal/mol, and -8.1 kcal/mol respectively against 1NNY compared to the control ligand. RMSD, RMSF, Rg, and SASA analysis revealed that both C1, and C2 showed better stability, minor conformational changes, and minor fluctuation upon binding to PTP1B. Protein contact analysis was carried out to validate the residues that are in contact with the ligands according to molecular docking studies. Overall, C1, and C2 could be proposed as novel natural hits to be developed and small modifications of these PSDs could result in inducing the binding affinity significantly, although experimental validation is required for further evaluation of the work.Communicated by Ramaswamy H. Sarma.
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Affiliation(s)
- Prasenjit Bhowmik
- Department of Chemistry-BMC, Biochemistry, Disciplinary Domain of Science and Technology, Uppsala University, Uppsala, Sweden
- Department of Chemistry, Faculty of Science, University of Chittagong, Chittagong, Bangladesh
- Department of Textile Engineering, Green University of Bangladesh, Narayanganj, Bangladesh
| | - Hossain Mohammad Baezid
- Department of Genetic Engineering and Biotechnology, Faculty of Biological Sciences, University of Chittagong, Chittagong, Bangladesh
| | - Ishmam Ibnul Arabi
- Department of Chemistry, Faculty of Science, University of Chittagong, Chittagong, Bangladesh
- Department of Textile Engineering, Green University of Bangladesh, Narayanganj, Bangladesh
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10
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Sutherland JJ, Yonchev D, Fekete A, Urban L. A preclinical secondary pharmacology resource illuminates target-adverse drug reaction associations of marketed drugs. Nat Commun 2023; 14:4323. [PMID: 37468498 DOI: 10.1038/s41467-023-40064-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2023] [Accepted: 07/11/2023] [Indexed: 07/21/2023] Open
Abstract
In vitro secondary pharmacology assays are an important tool for predicting clinical adverse drug reactions (ADRs) of investigational drugs. We created the Secondary Pharmacology Database (SPD) by testing 1958 drugs using 200 assays to validate target-ADR associations. Compared to public and subscription resources, 95% of all and 36% of active (AC50 < 1 µM) results are unique to SPD, with bias towards higher activity in public resources. Annotating drugs with free maximal plasma concentrations, we find 684 physiologically relevant unpublished off-target activities. Furthermore, 64% of putative ADRs linked to target activity in key literature reviews are not statistically significant in SPD. Systematic analysis of all target-ADR pairs identifies several putative associations supported by publications. Finally, candidate mechanisms for known ADRs are proposed based on SPD off-target activities. Here we present a freely-available resource for benchmarking ADR predictions, explaining phenotypic activity and investigating clinical properties of marketed drugs.
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Affiliation(s)
| | - Dimitar Yonchev
- Novartis Institutes for Biomedical Research, Basel, Switzerland
| | | | - Laszlo Urban
- Novartis Institutes for Biomedical Research, Cambridge, MA, USA.
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11
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Pognan F, Beilmann M, Boonen HCM, Czich A, Dear G, Hewitt P, Mow T, Oinonen T, Roth A, Steger-Hartmann T, Valentin JP, Van Goethem F, Weaver RJ, Newham P. The evolving role of investigative toxicology in the pharmaceutical industry. Nat Rev Drug Discov 2023; 22:317-335. [PMID: 36781957 PMCID: PMC9924869 DOI: 10.1038/s41573-022-00633-x] [Citation(s) in RCA: 25] [Impact Index Per Article: 25.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/16/2022] [Indexed: 02/15/2023]
Abstract
For decades, preclinical toxicology was essentially a descriptive discipline in which treatment-related effects were carefully reported and used as a basis to calculate safety margins for drug candidates. In recent years, however, technological advances have increasingly enabled researchers to gain insights into toxicity mechanisms, supporting greater understanding of species relevance and translatability to humans, prediction of safety events, mitigation of side effects and development of safety biomarkers. Consequently, investigative (or mechanistic) toxicology has been gaining momentum and is now a key capability in the pharmaceutical industry. Here, we provide an overview of the current status of the field using case studies and discuss the potential impact of ongoing technological developments, based on a survey of investigative toxicologists from 14 European-based medium-sized to large pharmaceutical companies.
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Affiliation(s)
- Francois Pognan
- Discovery and Investigative Safety, Novartis Pharma AG, Basel, Switzerland.
| | - Mario Beilmann
- Nonclinical Drug Safety Germany, Boehringer Ingelheim Pharma GmbH & Co. KG, Biberach an der Riss, Germany
| | - Harrie C M Boonen
- Drug Safety, Dept of Exploratory Toxicology, Lundbeck A/S, Valby, Denmark
| | | | - Gordon Dear
- In Vitro In Vivo Translation, GlaxoSmithKline David Jack Centre for Research, Ware, UK
| | - Philip Hewitt
- Chemical and Preclinical Safety, Merck Healthcare KGaA, Darmstadt, Germany
| | - Tomas Mow
- Safety Pharmacology and Early Toxicology, Novo Nordisk A/S, Maaloev, Denmark
| | - Teija Oinonen
- Preclinical Safety, Orion Corporation, Espoo, Finland
| | - Adrian Roth
- Pharmaceutical Research and Early Development, Roche Innovation Center Basel, Basel, Switzerland
| | | | | | - Freddy Van Goethem
- Predictive, Investigative & Translational Toxicology, Nonclinical Safety, Janssen Research & Development, Beerse, Belgium
| | - Richard J Weaver
- Innovation Life Cycle Management, Institut de Recherches Internationales Servier, Suresnes, France
| | - Peter Newham
- Clinical Pharmacology and Safety Sciences, AstraZeneca R&D, Cambridge, UK.
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12
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Carss KJ, Deaton AM, Del Rio-Espinola A, Diogo D, Fielden M, Kulkarni DA, Moggs J, Newham P, Nelson MR, Sistare FD, Ward LD, Yuan J. Using human genetics to improve safety assessment of therapeutics. Nat Rev Drug Discov 2023; 22:145-162. [PMID: 36261593 DOI: 10.1038/s41573-022-00561-w] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/02/2022] [Indexed: 02/07/2023]
Abstract
Human genetics research has discovered thousands of proteins associated with complex and rare diseases. Genome-wide association studies (GWAS) and studies of Mendelian disease have resulted in an increased understanding of the role of gene function and regulation in human conditions. Although the application of human genetics has been explored primarily as a method to identify potential drug targets and support their relevance to disease in humans, there is increasing interest in using genetic data to identify potential safety liabilities of modulating a given target. Human genetic variants can be used as a model to anticipate the effect of lifelong modulation of therapeutic targets and identify the potential risk for on-target adverse events. This approach is particularly useful for non-clinical safety evaluation of novel therapeutics that lack pharmacologically relevant animal models and can contribute to the intrinsic safety profile of a drug target. This Review illustrates applications of human genetics to safety studies during drug discovery and development, including assessing the potential for on- and off-target associated adverse events, carcinogenicity risk assessment, and guiding translational safety study designs and monitoring strategies. A summary of available human genetic resources and recommended best practices is provided. The challenges and future perspectives of translating human genetic information to identify risks for potential drug effects in preclinical and clinical development are discussed.
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Affiliation(s)
| | - Aimee M Deaton
- Amgen, Cambridge, MA, USA.,Alnylam Pharmaceuticals, Cambridge, MA, USA
| | - Alberto Del Rio-Espinola
- Novartis Institutes for BioMedical Research, Basel, Switzerland.,GentiBio Inc., Cambridge, MA, USA
| | | | - Mark Fielden
- Amgen, Thousand Oaks, MA, USA.,Kate Therapeutics, San Diego, CA, USA
| | | | - Jonathan Moggs
- Novartis Institutes for BioMedical Research, Basel, Switzerland
| | | | | | - Frank D Sistare
- Merck & Co., West Point, PA, USA.,315 Meadowmont Ln, Chapel Hill, NC, USA
| | - Lucas D Ward
- Amgen, Cambridge, MA, USA. .,Alnylam Pharmaceuticals, Cambridge, MA, USA.
| | - Jing Yuan
- Amgen, Cambridge, MA, USA.,Pfizer, Cambridge, MA, USA
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13
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Lightfoot HL, Smith GF. Targeting RNA with small molecules-A safety perspective. Br J Pharmacol 2023. [PMID: 36631428 DOI: 10.1111/bph.16027] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2022] [Revised: 06/30/2022] [Accepted: 12/20/2022] [Indexed: 01/13/2023] Open
Abstract
RNA is a major player in cellular function, and consequently can drive a number of disease pathologies. Over the past several years, small molecule-RNA targeting (smRNA targeting) has developed into a promising drug discovery approach. Numerous techniques, tools, and assays have been developed to support this field, and significant investments have been made by pharmaceutical and biotechnology companies. To date, the focus has been on identifying disease validated primary targets for smRNA drug development, yet RNA as a secondary (off) target for all small molecule drug programs largely has been unexplored. In this perspective, we discuss structure, target, and mechanism-driven safety aspects of smRNAs and highlight how these parameters can be evaluated in drug discovery programs to produce potentially safer drugs.
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Affiliation(s)
- Helen L Lightfoot
- Safety and Mechanistic Pharmacology, Clinical Pharmacology and Safety Sciences, R&D, AstraZeneca, Cambridge, UK
| | - Graham F Smith
- Data Science and AI, Clinical Pharmacology and Safety Sciences, R&D, AstraZeneca, Cambridge, UK
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14
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Cavasotto CN, Scardino V. Machine Learning Toxicity Prediction: Latest Advances by Toxicity End Point. ACS OMEGA 2022; 7:47536-47546. [PMID: 36591139 PMCID: PMC9798519 DOI: 10.1021/acsomega.2c05693] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/02/2022] [Accepted: 11/28/2022] [Indexed: 05/29/2023]
Abstract
Machine learning (ML) models to predict the toxicity of small molecules have garnered great attention and have become widely used in recent years. Computational toxicity prediction is particularly advantageous in the early stages of drug discovery in order to filter out molecules with high probability of failing in clinical trials. This has been helped by the increase in the number of large toxicology databases available. However, being an area of recent application, a greater understanding of the scope and applicability of ML methods is still necessary. There are various kinds of toxic end points that have been predicted in silico. Acute oral toxicity, hepatotoxicity, cardiotoxicity, mutagenicity, and the 12 Tox21 data end points are among the most commonly investigated. Machine learning methods exhibit different performances on different data sets due to dissimilar complexity, class distributions, or chemical space covered, which makes it hard to compare the performance of algorithms over different toxic end points. The general pipeline to predict toxicity using ML has already been analyzed in various reviews. In this contribution, we focus on the recent progress in the area and the outstanding challenges, making a detailed description of the state-of-the-art models implemented for each toxic end point. The type of molecular representation, the algorithm, and the evaluation metric used in each research work are explained and analyzed. A detailed description of end points that are usually predicted, their clinical relevance, the available databases, and the challenges they bring to the field are also highlighted.
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Affiliation(s)
- Claudio N. Cavasotto
- Computational
Drug Design and Biomedical Informatics Laboratory, Instituto de Investigaciones
en Medicina Traslacional (IIMT), CONICET-Universidad
Austral, Pilar, B1629AHJ Buenos Aires, Argentina
- Austral
Institute for Applied Artificial Intelligence, Universidad Austral, Pilar, B1629AHJ Buenos Aires, Argentina
- Facultad
de Ciencias Biomédicas, Facultad de Ingenierá, Universidad Austral, Pilar, B1630FHB Buenos
Aires, Argentina
| | - Valeria Scardino
- Austral
Institute for Applied Artificial Intelligence, Universidad Austral, Pilar, B1629AHJ Buenos Aires, Argentina
- Meton
AI, Inc., Wilmington, Delaware 19801, United
States
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15
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Scott C, Dodson A, Saulnier M, Snyder K, Racz R. Analysis of secondary pharmacology assays received by the US Food and Drug Administration. J Pharmacol Toxicol Methods 2022; 117:107205. [PMID: 35926773 DOI: 10.1016/j.vascn.2022.107205] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2022] [Revised: 07/09/2022] [Accepted: 07/26/2022] [Indexed: 10/16/2022]
Abstract
Secondary pharmacology studies are a time-efficient and cost-effective method for determining the safety profile of a potential new drug before it enters human trials. The results of these multi-target screens are commonly submitted with Investigational New Drug (IND) applications, but there currently is little guidance on how such information is presented and which targets are chosen for testing. In this study, we expand on our previous analysis of secondary pharmacology reports by manually curating and analyzing all secondary pharmacology results received by the FDA received as part of an IND submission. A total of 1120 INDs submitted by 480 sponsors between 1999 and October 2020 were included in this study. The overall results were largely consistent with previous internal and external studies, showing that the most tested target in our set was the histamine 1 receptor (tested 938 times), the most hit target was sodium channel site 2 (hit 141 times), and the target with the highest hit percentage was the vesicular monoamine transporter 2 (hit 42.2% of the time). Additionally, this study demonstrated that improvements in the secondary pharmacology submission process, such as changes in formatting and nomenclature, could enhance the utility of these assays for regulatory review, including assisting with identifying the safety liabilities of a drug candidate early in development. This updated data set will allow FDA-industry collaborative working groups to continue developing the best methods for regulatory submission of secondary pharmacology data and evaluate the need for a standard target panel.
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Affiliation(s)
- Christina Scott
- Division of Applied Regulatory Science, Food and Drug Administration, Silver Spring, MD 20993, USA; Oak Ridge Institute for Science and Education, Oak Ridge, TN 37830, USA
| | - Andrew Dodson
- Division of Applied Regulatory Science, Food and Drug Administration, Silver Spring, MD 20993, USA; Oak Ridge Institute for Science and Education, Oak Ridge, TN 37830, USA
| | - Muriel Saulnier
- Office of New Drugs, Food and Drug Administration, Silver Spring, MD 20993, USA
| | - Kevin Snyder
- Office of New Drugs, Food and Drug Administration, Silver Spring, MD 20993, USA
| | - Rebecca Racz
- Division of Applied Regulatory Science, Food and Drug Administration, Silver Spring, MD 20993, USA.
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16
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Crofton KM, Bassan A, Behl M, Chushak YG, Fritsche E, Gearhart JM, Marty MS, Mumtaz M, Pavan M, Ruiz P, Sachana M, Selvam R, Shafer TJ, Stavitskaya L, Szabo DT, Szabo ST, Tice RR, Wilson D, Woolley D, Myatt GJ. Current status and future directions for a neurotoxicity hazard assessment framework that integrates in silico approaches. COMPUTATIONAL TOXICOLOGY (AMSTERDAM, NETHERLANDS) 2022; 22:100223. [PMID: 35844258 PMCID: PMC9281386 DOI: 10.1016/j.comtox.2022.100223] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/27/2023]
Abstract
Neurotoxicology is the study of adverse effects on the structure or function of the developing or mature adult nervous system following exposure to chemical, biological, or physical agents. The development of more informative alternative methods to assess developmental (DNT) and adult (NT) neurotoxicity induced by xenobiotics is critically needed. The use of such alternative methods including in silico approaches that predict DNT or NT from chemical structure (e.g., statistical-based and expert rule-based systems) is ideally based on a comprehensive understanding of the relevant biological mechanisms. This paper discusses known mechanisms alongside the current state of the art in DNT/NT testing. In silico approaches available today that support the assessment of neurotoxicity based on knowledge of chemical structure are reviewed, and a conceptual framework for the integration of in silico methods with experimental information is presented. Establishing this framework is essential for the development of protocols, namely standardized approaches, to ensure that assessments of NT and DNT based on chemical structures are generated in a transparent, consistent, and defendable manner.
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Affiliation(s)
| | - Arianna Bassan
- Innovatune srl, Via Giulio Zanon 130/D, 35129 Padova,
Italy
| | - Mamta Behl
- Division of the National Toxicology Program, National
Institutes of Environmental Health Sciences, Durham, NC 27709, USA
| | - Yaroslav G. Chushak
- Henry M Jackson Foundation for the Advancement of Military
Medicine, Wright-Patterson AFB, OH 45433, USA
| | - Ellen Fritsche
- IUF – Leibniz Research Institute for Environmental
Medicine & Medical Faculty Heinrich-Heine-University, Düsseldorf,
Germany
| | - Jeffery M. Gearhart
- Henry M Jackson Foundation for the Advancement of Military
Medicine, Wright-Patterson AFB, OH 45433, USA
| | | | - Moiz Mumtaz
- Agency for Toxic Substances and Disease Registry, US
Department of Health and Human Services, Atlanta, GA, USA
| | - Manuela Pavan
- Innovatune srl, Via Giulio Zanon 130/D, 35129 Padova,
Italy
| | - Patricia Ruiz
- Agency for Toxic Substances and Disease Registry, US
Department of Health and Human Services, Atlanta, GA, USA
| | - Magdalini Sachana
- Environment Health and Safety Division, Environment
Directorate, Organisation for Economic Co-Operation and Development (OECD), 75775
Paris Cedex 16, France
| | - Rajamani Selvam
- Office of Clinical Pharmacology, Office of Translational
Sciences, Center for Drug Evaluation and Research (CDER), U.S. Food and Drug
Administration (FDA), Silver Spring, MD 20993, USA
| | - Timothy J. Shafer
- Biomolecular and Computational Toxicology Division, Center
for Computational Toxicology and Exposure, US EPA, Research Triangle Park, NC,
USA
| | - Lidiya Stavitskaya
- Office of Clinical Pharmacology, Office of Translational
Sciences, Center for Drug Evaluation and Research (CDER), U.S. Food and Drug
Administration (FDA), Silver Spring, MD 20993, USA
| | | | | | | | - Dan Wilson
- The Dow Chemical Company, Midland, MI 48667, USA
| | | | - Glenn J. Myatt
- Instem, Columbus, OH 43215, USA
- Corresponding author.
(G.J. Myatt)
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17
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Coors A, Falkenhain AM, Scheurer M, Länge R. Evidence for Specific Receptor-Mediated Toxicity of Pharmaceuticals in Aquatic Organisms Derived from Acute and Chronic Standard Endpoints. ENVIRONMENTAL TOXICOLOGY AND CHEMISTRY 2022; 41:601-613. [PMID: 33595135 DOI: 10.1002/etc.5018] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/21/2020] [Revised: 12/17/2020] [Accepted: 02/12/2021] [Indexed: 06/12/2023]
Abstract
The toxicity of 17 active pharmaceutical ingredients (APIs) was investigated using standardized acute and chronic tests with Daphnia magna and 2 algae species. Chronic toxicity was generally greater for Daphnia than for algae. Compilation of additional data resulted in 100 APIs for which the acute-to-chronic ratio (ACR) was determined for Daphnia. The frequency of high ACRs (~20% with ACRs > 100) indicates that specific receptor-mediated toxicity toward D. magna is rather common among APIs. The 11 APIs with ACRs > 1000 included lipid-modifying agents, immunosuppressants, antibiotics, antineoplastics, antiobesics, antivirals, and antihistamines. There was no consistent association between ACR and chronic toxicity, ionization status, or lipophilicity. High ACRs were not exclusively associated with the presence of orthologs of the pharmacological target in Daphnia. Statins, acetylcholinesterase inhibitors, and antihistamines are discussed in more detail regarding the link between targets and toxic mode of action. For acetylcholinesterase inhibitors, receptor-mediated toxicity was already apparent after acute exposure, whereas the high ACR and chronic toxicity of some antihistamines probably related to interaction with a secondary rather than the primary pharmacological target. Acute or modeled chronic toxicity estimates have often been used for prioritizing pharmaceuticals. This may be seriously misleading because chronic effects are currently not predictable for APIs with specific receptor-mediated toxicity. However, it is exactly these APIs that are the most relevant in terms of environmental risks. Environ Toxicol Chem 2022;41:601-613. © 2021 SETAC.
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Affiliation(s)
- Anja Coors
- ECT Oekotoxikologie, Flörsheim/Main, Germany
- Environment Department, University of York, Heslington, York, UK
| | | | - Marco Scheurer
- Deutscher Verein des Gas- und Wasserfaches-Technologiezentrum Wasser, Karlsruhe, Germany
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18
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Bassan A, Alves VM, Amberg A, Anger LT, Auerbach S, Beilke L, Bender A, Cronin MT, Cross KP, Hsieh JH, Greene N, Kemper R, Kim MT, Mumtaz M, Noeske T, Pavan M, Pletz J, Russo DP, Sabnis Y, Schaefer M, Szabo DT, Valentin JP, Wichard J, Williams D, Woolley D, Zwickl C, Myatt GJ. In silico approaches in organ toxicity hazard assessment: current status and future needs in predicting liver toxicity. COMPUTATIONAL TOXICOLOGY (AMSTERDAM, NETHERLANDS) 2021; 20:100187. [PMID: 35340402 PMCID: PMC8955833 DOI: 10.1016/j.comtox.2021.100187] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/15/2023]
Abstract
Hepatotoxicity is one of the most frequently observed adverse effects resulting from exposure to a xenobiotic. For example, in pharmaceutical research and development it is one of the major reasons for drug withdrawals, clinical failures, and discontinuation of drug candidates. The development of faster and cheaper methods to assess hepatotoxicity that are both more sustainable and more informative is critically needed. The biological mechanisms and processes underpinning hepatotoxicity are summarized and experimental approaches to support the prediction of hepatotoxicity are described, including toxicokinetic considerations. The paper describes the increasingly important role of in silico approaches and highlights challenges to the adoption of these methods including the lack of a commonly agreed upon protocol for performing such an assessment and the need for in silico solutions that take dose into consideration. A proposed framework for the integration of in silico and experimental information is provided along with a case study describing how computational methods have been used to successfully respond to a regulatory question concerning non-genotoxic impurities in chemically synthesized pharmaceuticals.
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Affiliation(s)
- Arianna Bassan
- Innovatune srl, Via Giulio Zanon 130/D, 35129 Padova, Italy
| | - Vinicius M. Alves
- The National Institute of Environmental Health Sciences, Division of the National Toxicology, Program, Research Triangle Park, NC 27709, USA
| | - Alexander Amberg
- Sanofi, R&D Preclinical Safety Frankfurt, Industriepark Hoechst, D-65926 Frankfurt am Main, Germany
| | | | - Scott Auerbach
- The National Institute of Environmental Health Sciences, Division of the National Toxicology, Program, Research Triangle Park, NC 27709, USA
| | - Lisa Beilke
- Toxicology Solutions Inc., San Diego, CA, USA
| | - Andreas Bender
- AI and Data Analytics, Clinical Pharmacology and Safety Sciences, R&D, AstraZeneca, Cambridge, UK
- Centre for Molecular Informatics, Department of Chemistry, University of Cambridge, Lensfield Road, Cambridge CB2 1EW
| | - Mark T.D. Cronin
- School of Pharmacy and Biomolecular Sciences, Liverpool John Moores University, Liverpool, L3 3AF, UK
| | | | - Jui-Hua Hsieh
- The National Institute of Environmental Health Sciences, Division of the National Toxicology, Program, Research Triangle Park, NC 27709, USA
| | - Nigel Greene
- Data Science and AI, DSM, IMED Biotech Unit, AstraZeneca, Boston, USA
| | - Raymond Kemper
- Nuvalent, One Broadway, 14th floor, Cambridge, MA, 02142, USA
| | - Marlene T. Kim
- US Food and Drug Administration, Center for Drug Evaluation and Research, Silver Spring, MD, 20993, USA
| | - Moiz Mumtaz
- Office of the Associate Director for Science (OADS), Agency for Toxic Substances and Disease, Registry, US Department of Health and Human Services, Atlanta, GA, USA
| | - Tobias Noeske
- Imaging and Data Analytics, Clinical Pharmacology & Safety Sciences, R&D, AstraZeneca, Gothenburg, Sweden
| | - Manuela Pavan
- Innovatune srl, Via Giulio Zanon 130/D, 35129 Padova, Italy
| | - Julia Pletz
- School of Pharmacy and Biomolecular Sciences, Liverpool John Moores University, Liverpool, L3 3AF, UK
| | - Daniel P. Russo
- Department of Chemistry, Rutgers University, Camden, NJ 08102, USA
- The Rutgers Center for Computational and Integrative Biology, Camden, NJ 08102, USA
| | - Yogesh Sabnis
- UCB Biopharma SRL, Chemin du Foriest – B-1420 Braine-l’Alleud, Belgium
| | - Markus Schaefer
- Sanofi, R&D Preclinical Safety Frankfurt, Industriepark Hoechst, D-65926 Frankfurt am Main, Germany
| | | | | | - Joerg Wichard
- Bayer AG, Genetic Toxicology, Müllerstr. 178, 13353 Berlin, Germany
| | - Dominic Williams
- Functional & Mechanistic Safety, Clinical Pharmacology & Safety Sciences, AstraZeneca, Darwin Building 310, Cambridge Science Park, Milton Rd, Cambridge CB4 0FZ, UK
| | - David Woolley
- ForthTox Limited, PO Box 13550, Linlithgow, EH49 7YU, UK
| | - Craig Zwickl
- Transendix LLC, 1407 Moores Manor, Indianapolis, IN 46229, USA
| | - Glenn J. Myatt
- Instem, 1393 Dublin Road, Columbus, OH 43215. USA
- Corresponding author. (G.J. Myatt)
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19
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Dent MP, Vaillancourt E, Thomas RS, Carmichael PL, Ouedraogo G, Kojima H, Barroso J, Ansell J, Barton-Maclaren TS, Bennekou SH, Boekelheide K, Ezendam J, Field J, Fitzpatrick S, Hatao M, Kreiling R, Lorencini M, Mahony C, Montemayor B, Mazaro-Costa R, Oliveira J, Rogiers V, Smegal D, Taalman R, Tokura Y, Verma R, Willett C, Yang C. Paving the way for application of next generation risk assessment to safety decision-making for cosmetic ingredients. Regul Toxicol Pharmacol 2021; 125:105026. [PMID: 34389358 PMCID: PMC8547713 DOI: 10.1016/j.yrtph.2021.105026] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2021] [Revised: 07/22/2021] [Accepted: 08/06/2021] [Indexed: 11/30/2022]
Abstract
Next generation risk assessment (NGRA) is an exposure-led, hypothesis-driven approach that has the potential to support animal-free safety decision-making. However, significant effort is needed to develop and test the in vitro and in silico (computational) approaches that underpin NGRA to enable confident application in a regulatory context. A workshop was held in Montreal in 2019 to discuss where effort needs to be focussed and to agree on the steps needed to ensure safety decisions made on cosmetic ingredients are robust and protective. Workshop participants explored whether NGRA for cosmetic ingredients can be protective of human health, and reviewed examples of NGRA for cosmetic ingredients. From the limited examples available, it is clear that NGRA is still in its infancy, and further case studies are needed to determine whether safety decisions are sufficiently protective and not overly conservative. Seven areas were identified to help progress application of NGRA, including further investments in case studies that elaborate on scenarios frequently encountered by industry and regulators, including those where a ‘high risk’ conclusion would be expected. These will provide confidence that the tools and approaches can reliably discern differing levels of risk. Furthermore, frameworks to guide performance and reporting should be developed.
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Affiliation(s)
- M P Dent
- Unilever Safety and Environmental Assurance Centre, Sharnbrook, Bedfordshire, MK44 1LQ, UK.
| | - E Vaillancourt
- Health Canada, Healthy Environments and Consumer Safety Branch, 269 Laurier Ave. W., Ottawa, ON K1A 0K9, Canada.
| | - R S Thomas
- Center for Computational Toxicology and Exposure, U.S. Environmental Protection Agency, Research, Triangle Park, NC, 27711, USA.
| | - P L Carmichael
- Unilever Safety and Environmental Assurance Centre, Sharnbrook, Bedfordshire, MK44 1LQ, UK.
| | - G Ouedraogo
- l'Oréal, Research and Development, Paris, France.
| | - H Kojima
- National Institute of Health Sciences, 1-18-1 Kamiyoga, Setagaya-ku, 158-8501, Tokyo, Japan.
| | - J Barroso
- European Commission, Joint Research Centre (JRC), Ispra, VA, Italy.
| | - J Ansell
- US Personal Care Products Council (PCPC), 1620 L St. NW, Suite 1200, Washington, D.C, 20036, USA.
| | - T S Barton-Maclaren
- Health Canada, Healthy Environments and Consumer Safety Branch, 269 Laurier Ave. W., Ottawa, ON K1A 0K9, Canada.
| | - S H Bennekou
- National Food Institute, Technical University of Denmark (DTU), Copenhagen, Denmark.
| | - K Boekelheide
- Department of Pathology and Laboratory Medicine, Brown University, Providence, RI, USA.
| | - J Ezendam
- National Institute for Public Health and the Environment (RIVM), Bilthoven, the Netherlands.
| | - J Field
- Health Canada, Healthy Environments and Consumer Safety Branch, 269 Laurier Ave. W., Ottawa, ON K1A 0K9, Canada.
| | - S Fitzpatrick
- US Food and Drug Administration (US FDA), Center for Food Safety and Applied Nutrition (CFSAN), 5001 Campus Drive, College Park, MD, 20740, USA.
| | - M Hatao
- Japan Cosmetic Industry Association (JCIA), Metro City Kamiyacho 6F, 5-1-5, Toranomon, Minato-ku, Tokyo, 105-0001 Japan.
| | - R Kreiling
- Clariant Produkte (Deutschland) GmbH, Am Unisyspark 1, 65843, Sulzbach, Germany.
| | - M Lorencini
- Grupo Boticário, Research & Development, São José dos Pinhais, Brazil.
| | - C Mahony
- Procter & Gamble Technical Centres Ltd, Reading, RG2 0RX, UK.
| | - B Montemayor
- Cosmetics Alliance Canada, 420 Britannia Road East Suite 102, Mississauga, ON L4Z 3L5, Canada.
| | - R Mazaro-Costa
- Departament of Pharmacology, Universidade Federal de Goiás, Goiânia, GO, 74.690-900, Brazil.
| | - J Oliveira
- Brazilian Health Regulatory Agency (ANVISA), Gerência de Produtos de Higiene, Perfumes, Cosméticos e Saneantes, Setor de Indústria e Abastecimento (SIA), Trecho 5, Área Especial 57, CEP 71205-050, Brasília, DF, Brazil.
| | - V Rogiers
- Vrije Universiteit Brussel, Brussels, Belgium.
| | - D Smegal
- US Food and Drug Administration (US FDA), Center for Food Safety and Applied Nutrition (CFSAN), 5001 Campus Drive, College Park, MD, 20740, USA.
| | - R Taalman
- Cosmetics Europe, Avenue Herrmann-Debroux 40, 1160 Auderghem, Belgium.
| | - Y Tokura
- Allergic Disease Research Center, Chutoen General Medical Center, Kakegawa, Japan.
| | - R Verma
- US Food and Drug Administration (US FDA), Center for Food Safety and Applied Nutrition (CFSAN), 5001 Campus Drive, College Park, MD, 20740, USA.
| | - C Willett
- Humane Society International, Washington, DC, USA.
| | - C Yang
- Taiwan Cosmetic Industry Association (TWCIA), 8F No. 136, Bo'ai Rd., Zhongzheng Dist., Taipei City, 100, Taiwan, ROC.
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20
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Dodson A, Mi K, Russo DP, Scott C, Saulnier M, Snyder K, Racz R. Aggregation and analysis of secondary pharmacology data from investigational new drug submissions at the US Food and Drug Administration. J Pharmacol Toxicol Methods 2021; 111:107098. [PMID: 34229067 DOI: 10.1016/j.vascn.2021.107098] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2021] [Revised: 06/14/2021] [Accepted: 06/29/2021] [Indexed: 01/23/2023]
Abstract
Secondary pharmacology studies are utilized by the pharmaceutical industry as a cost-efficient tool to identify potential safety liabilities of drugs before entering Phase 1 clinical trials. These studies are recommended by the Food and Drug Administration (FDA) as a part of the Investigational New Drug (IND) application. However, despite the utility of these assays, there is little guidance on which targets should be screened and which format should be used. Here, we evaluated 226 secondary pharmacology profiles obtained from close to 90 unique sponsors. The results indicated that the most tested target in our set was the GABA benzodiazepine receptor (tested 168 times), the most hit target was adenosine 3 (hit 24 times), and the target with the highest hit percentage was the quinone reductase 2 (NQO2) receptor (hit 29% of the time). The overall results were largely consistent with those observed in previous publications. However, this study also identified the need for improvement in the submission process of secondary pharmacology studies by industry, which could enhance their utility for regulatory purpose. FDA-industry collaborative working groups will utilize this data to determine the best methods for regulatory submission of these studies and evaluate the need for a standard target panel.
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Affiliation(s)
- Andrew Dodson
- Division of Applied Regulatory Science, Food and Drug Administration, Silver Spring, MD 20993, United States of America; Oak Ridge Institute for Science and Education, Oak Ridge, TN 37830, United States of America
| | - Kevin Mi
- Office of New Drugs, Food and Drug Administration, Silver Spring, MD 20993, United States of America
| | - Daniel P Russo
- Oak Ridge Institute for Science and Education, Oak Ridge, TN 37830, United States of America; Office of New Drugs, Food and Drug Administration, Silver Spring, MD 20993, United States of America
| | - Christina Scott
- Division of Applied Regulatory Science, Food and Drug Administration, Silver Spring, MD 20993, United States of America; Oak Ridge Institute for Science and Education, Oak Ridge, TN 37830, United States of America
| | - Muriel Saulnier
- Office of New Drugs, Food and Drug Administration, Silver Spring, MD 20993, United States of America
| | - Kevin Snyder
- Office of New Drugs, Food and Drug Administration, Silver Spring, MD 20993, United States of America
| | - Rebecca Racz
- Division of Applied Regulatory Science, Food and Drug Administration, Silver Spring, MD 20993, United States of America.
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21
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Hernández-Lemus E, Martínez-García M. Pathway-Based Drug-Repurposing Schemes in Cancer: The Role of Translational Bioinformatics. Front Oncol 2021; 10:605680. [PMID: 33520715 PMCID: PMC7841291 DOI: 10.3389/fonc.2020.605680] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2020] [Accepted: 11/24/2020] [Indexed: 12/11/2022] Open
Abstract
Cancer is a set of complex pathologies that has been recognized as a major public health problem worldwide for decades. A myriad of therapeutic strategies is indeed available. However, the wide variability in tumor physiology, response to therapy, added to multi-drug resistance poses enormous challenges in clinical oncology. The last years have witnessed a fast-paced development of novel experimental and translational approaches to therapeutics, that supplemented with computational and theoretical advances are opening promising avenues to cope with cancer defiances. At the core of these advances, there is a strong conceptual shift from gene-centric emphasis on driver mutations in specific oncogenes and tumor suppressors-let us call that the silver bullet approach to cancer therapeutics-to a systemic, semi-mechanistic approach based on pathway perturbations and global molecular and physiological regulatory patterns-we will call this the shrapnel approach. The silver bullet approach is still the best one to follow when clonal mutations in driver genes are present in the patient, and when there are targeted therapies to tackle those. Unfortunately, due to the heterogeneous nature of tumors this is not the common case. The wide molecular variability in the mutational level often is reduced to a much smaller set of pathway-based dysfunctions as evidenced by the well-known hallmarks of cancer. In such cases "shrapnel gunshots" may become more effective than "silver bullets". Here, we will briefly present both approaches and will abound on the discussion on the state of the art of pathway-based therapeutic designs from a translational bioinformatics and computational oncology perspective. Further development of these approaches depends on building collaborative, multidisciplinary teams to resort to the expertise of clinical oncologists, oncological surgeons, and molecular oncologists, but also of cancer cell biologists and pharmacologists, as well as bioinformaticians, computational biologists and data scientists. These teams will be capable of engaging on a cycle of analyzing high-throughput experiments, mining databases, researching on clinical data, validating the findings, and improving clinical outcomes for the benefits of the oncological patients.
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Affiliation(s)
- Enrique Hernández-Lemus
- Computational Genomics Division, National Institute of Genomic Medicine, Mexico City, Mexico
- Centro de Ciencias de la Complejidad, Universidad Nacional Autónoma de México, Mexico City, Mexico
| | - Mireya Martínez-García
- Sociomedical Research Unit, National Institute of Cardiology “Ignacio Chávez”, Mexico City, Mexico
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22
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Smit IA, Afzal AM, Allen CHG, Svensson F, Hanser T, Bender A. Systematic Analysis of Protein Targets Associated with Adverse Events of Drugs from Clinical Trials and Postmarketing Reports. Chem Res Toxicol 2020; 34:365-384. [PMID: 33351593 DOI: 10.1021/acs.chemrestox.0c00294] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
Abstract
Adverse drug reactions (ADRs) are undesired effects of medicines that can harm patients and are a significant source of attrition in drug development. ADRs are anticipated by routinely screening drugs against secondary pharmacology protein panels. However, there is still a lack of quantitative information on the links between these off-target proteins and the reporting of ADRs in humans. Here, we present a systematic analysis of associations between measured and predicted in vitro bioactivities of drugs and adverse events (AEs) in humans from two sources of data: the Side Effect Resource, derived from clinical trials, and the Food and Drug Administration Adverse Event Reporting System, derived from postmarketing surveillance. The ratio of a drug's therapeutic unbound plasma concentration over the drug's in vitro potency against a given protein was used to select proteins most likely to be relevant to in vivo effects. In examining individual target bioactivities as predictors of AEs, we found a trade-off between the positive predictive value and the fraction of drugs with AEs that can be detected. However, considering sets of multiple targets for the same AE can help identify a greater fraction of AE-associated drugs. Of the 45 targets with statistically significant associations to AEs, 30 are included on existing safety target panels. The remaining 15 targets include 9 carbonic anhydrases, of which CA5B is significantly associated with cholestatic jaundice. We include the full quantitative data on associations between measured and predicted in vitro bioactivities and AEs in humans in this work, which can be used to make a more informed selection of safety profiling targets.
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Affiliation(s)
- Ines A Smit
- Department of Chemistry, University of Cambridge, Lensfield Road, Cambridge CB2 1EW, United Kingdom
| | - Avid M Afzal
- Department of Chemistry, University of Cambridge, Lensfield Road, Cambridge CB2 1EW, United Kingdom
| | - Chad H G Allen
- Department of Chemistry, University of Cambridge, Lensfield Road, Cambridge CB2 1EW, United Kingdom
| | - Fredrik Svensson
- Department of Chemistry, University of Cambridge, Lensfield Road, Cambridge CB2 1EW, United Kingdom
| | - Thierry Hanser
- Lhasa Limited, Granary Wharf House, 2 Canal Wharf, Leeds LS11 5PS, United Kingdom
| | - Andreas Bender
- Department of Chemistry, University of Cambridge, Lensfield Road, Cambridge CB2 1EW, United Kingdom
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23
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Jenkinson S, Schmidt F, Rosenbrier Ribeiro L, Delaunois A, Valentin JP. A practical guide to secondary pharmacology in drug discovery. J Pharmacol Toxicol Methods 2020; 105:106869. [PMID: 32302774 DOI: 10.1016/j.vascn.2020.106869] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2020] [Revised: 03/21/2020] [Accepted: 04/03/2020] [Indexed: 01/29/2023]
Abstract
Secondary pharmacological profiling is increasingly applied in pharmaceutical drug discovery to address unwanted pharmacological side effects of drug candidates before entering the clinic. Regulators, drug makers and patients share a demand for deep characterization of secondary pharmacology effects of novel drugs and their metabolites. The scope of such profiling has therefore expanded substantially in the past two decades, leading to the implementation of broad in silico profiling methods and focused in vitro off-target screening panels, to identify liabilities, but also opportunities, as early as possible. The pharmaceutical industry applies such panels at all stages of drug discovery routinely up to early development. Nevertheless, target composition, screening technologies, assay formats, interpretation and scheduling of panels can vary significantly between companies in the absence of dedicated guidelines. To contribute towards best practices in secondary pharmacology profiling, this review aims to summarize the state-of-the art in this field. Considerations are discussed with respect to panel design, screening strategy, implementation and interpretation of the data, including regulatory perspectives. The cascaded, or integrated, use of in silico and off-target profiling allows to exploit synergies for comprehensive safety assessment of drug candidates.
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Affiliation(s)
- Stephen Jenkinson
- Drug Safety Research and Development, Pfizer Inc., La Jolla, CA 92121, United States of America.
| | - Friedemann Schmidt
- Sanofi, R&D Preclinical Safety, Industriepark Höchst, 65926 Frankfurt/Main, Germany
| | - Lyn Rosenbrier Ribeiro
- Medicines Discovery Catapult, Block 35, Mereside, Alderley Park, Alderley Edge, SK10 4TG, United Kingdom
| | - Annie Delaunois
- UCB BioPharma SRL, Early Solutions, Development Science, Non-Clinical Safety, 1420 Braine L'Alleud, Walloon Region, Belgium
| | - Jean-Pierre Valentin
- UCB BioPharma SRL, Early Solutions, Development Science, Non-Clinical Safety, 1420 Braine L'Alleud, Walloon Region, Belgium
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24
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Deaton AM, Fan F, Zhang W, Nguyen PA, Ward LD, Nioi P. Rationalizing Secondary Pharmacology Screening Using Human Genetic and Pharmacological Evidence. Toxicol Sci 2020; 167:593-603. [PMID: 30346593 PMCID: PMC6358245 DOI: 10.1093/toxsci/kfy265] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022] Open
Abstract
Safety-related drug failures remain a major challenge for the pharmaceutical industry. One approach to ensuring drug safety involves assessing small molecule drug specificity by examining the ability of a drug candidate to interact with a panel of “off-target” proteins, referred to as secondary pharmacology screening. Information from human genetics and pharmacology can be used to select proteins associated with adverse effects for such screening. In an analysis of marketed drugs, we found a clear relationship between the genetic and pharmacological phenotypes of a drug’s off-target proteins and the observed drug side effects. In addition to using this phenotypic information for the selection of secondary pharmacology screens, we also show that it can be used to help identify drug off-target protein interactions responsible for drug-related adverse events. We anticipate that this phenotype-driven approach to secondary pharmacology screening will help to reduce safety-related drug failures due to drug off-target protein interactions.
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Affiliation(s)
- Aimee M Deaton
- Comparative Biology and Safety Sciences, Amgen Inc, Cambridge, Massachusetts 02142
| | - Fan Fan
- Comparative Biology and Safety Sciences, Amgen Inc, Cambridge, Massachusetts 02142
| | - Wei Zhang
- Comparative Biology and Safety Sciences, Amgen Inc, Cambridge, Massachusetts 02142
| | - Phuong A Nguyen
- Comparative Biology and Safety Sciences, Amgen Inc, Cambridge, Massachusetts 02142
| | - Lucas D Ward
- Comparative Biology and Safety Sciences, Amgen Inc, Cambridge, Massachusetts 02142
| | - Paul Nioi
- Comparative Biology and Safety Sciences, Amgen Inc, Cambridge, Massachusetts 02142
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25
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Brown DG, Smith GF, Wobst HJ. Promiscuity of in Vitro Secondary Pharmacology Assays and Implications for Lead Optimization Strategies. J Med Chem 2019; 63:6251-6275. [PMID: 31714773 DOI: 10.1021/acs.jmedchem.9b01625] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
We conducted an analysis on screening data generated from 1445 compounds against a panel of 130 enzymes, ion channels, and receptors to assess secondary pharmacological risks. Hit rates of these targets as well as physicochemical properties for those hits were evaluated. A majority of targets yielded hits with higher clogP, molecular weight, and more basic character than inactive compounds. Although most targets favored lipophilic hits, the average clogP of hits at a given target did not correlate with its hit rate. Furthermore, a matched pair analysis was completed to determine structural changes that impacted off-target activities. A correlation of binding assays used in this analysis illustrated that some pharmacologically related binding assays are highly correlative and may be substituted for a smaller set of surrogate assays.
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Affiliation(s)
- Dean G Brown
- Hit Discovery, Discovery Sciences, BioPharmaceuticals R&D, AstraZeneca, Waltham, Massachusetts 02451, United States
| | - Graham F Smith
- Data Science and Artificial Intelligence, Clinical Pharmacology & Safety Sciences, BioPharmaceuticals R&D, AstraZeneca, Cambridge CB4 0WG, United Kingdom
| | - Heike J Wobst
- Neuroscience, BioPharmaceuticals R&D, AstraZeneca, Waltham, Massachusetts 02451, United States
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26
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Rao MS, Gupta R, Liguori MJ, Hu M, Huang X, Mantena SR, Mittelstadt SW, Blomme EAG, Van Vleet TR. Novel Computational Approach to Predict Off-Target Interactions for Small Molecules. Front Big Data 2019; 2:25. [PMID: 33693348 PMCID: PMC7931946 DOI: 10.3389/fdata.2019.00025] [Citation(s) in RCA: 47] [Impact Index Per Article: 9.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2019] [Accepted: 06/26/2019] [Indexed: 12/01/2022] Open
Abstract
Most small molecule drugs interact with unintended, often unknown, biological targets and these off-target interactions may lead to both preclinical and clinical toxic events. Undesired off-target interactions are often not detected using current drug discovery assays, such as experimental polypharmacological screens. Thus, improvement in the early identification of off-target interactions represents an opportunity to reduce safety-related attrition rates during preclinical and clinical development. In order to better identify potential off-target interactions that could be linked to predictable safety issues, a novel computational approach to predict safety-relevant interactions currently not covered was designed and evaluated. These analyses, termed Off-Target Safety Assessment (OTSA), cover more than 7,000 targets (~35% of the proteome) and > 2,46,704 preclinical and clinical alerts (as of January 20, 2019). The approach described herein exploits a highly curated training set of >1 million compounds (tracking >20 million compound-structure activity relationship/SAR data points) with known in vitro activities derived from patents, journals, and publicly available databases. This computational process was used to predict both the primary and secondary pharmacological activities for a selection of 857 diverse small molecule drugs for which extensive secondary pharmacology data are readily available (456 discontinued and 401 FDA approved). The OTSA process predicted a total of 7,990 interactions for these 857 molecules. Of these, 3,923 and 4,067 possible high-scoring interactions were predicted for the discontinued and approved drugs, respectively, translating to an average of 9.3 interactions per drug. The OTSA process correctly identified the known pharmacological targets for >70% of these drugs, but also predicted a significant number of off-targets that may provide additional insight into observed in vivo effects. About 51.5% (2,025) and 22% (900) of these predicted high-scoring interactions have not previously been reported for the discontinued and approved drugs, respectively, and these may have a potential for repurposing efforts. Moreover, for both drug categories, higher promiscuity was observed for compounds with a MW range of 300 to 500, TPSA of ~200, and clogP ≥7. This computation also revealed significantly lower promiscuity (i.e., number of confirmed off-targets) for compounds with MW > 700 and MW<200 for both categories. In addition, 15 internal small molecules with known off-target interactions were evaluated. For these compounds, the OTSA framework not only captured about 56.8% of in vitro confirmed off-target interactions, but also identified the right pharmacological targets for 14 compounds as one of the top scoring targets. In conclusion, the OTSA process demonstrates good predictive performance characteristics and represents an additional tool with utility during the lead optimization stage of the drug discovery process. Additionally, the computed physiochemical properties such as clogP (i.e., lipophilicity), molecular weight, pKa and logS (i.e., solubility) were found to be statistically different between the approved and discontinued drugs, but the internal compounds were close to the approved drugs space in most part.
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Affiliation(s)
- Mohan S Rao
- Global Preclinical Safety, Abbvie, North Chicago, IL, United States
| | - Rishi Gupta
- Information Research, Abbvie, North Chicago, IL, United States
| | | | - Mufeng Hu
- Discovery and Early Pipeline Statistics, Abbvie, North Chicago, IL, United States
| | - Xin Huang
- Discovery and Early Pipeline Statistics, Abbvie, North Chicago, IL, United States
| | | | | | - Eric A G Blomme
- Global Preclinical Safety, Abbvie, North Chicago, IL, United States
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27
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Bofill A, Jalencas X, Oprea TI, Mestres J. The human endogenous metabolome as a pharmacology baseline for drug discovery. Drug Discov Today 2019; 24:1806-1820. [PMID: 31226432 DOI: 10.1016/j.drudis.2019.06.007] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2019] [Revised: 05/17/2019] [Accepted: 06/12/2019] [Indexed: 01/01/2023]
Abstract
We have limited understanding of the variation in in vitro affinities of drugs for their targets. An analysis of a highly curated set of 815 interactions between 566 drugs and 129 primary targets reveals that 71% of drug-target affinities have values above that of the corresponding endogenous ligand, 96% of them fitting within a range of two orders of magnitude. Our findings suggest that the evolutionary optimised affinity of endogenous ligands for their native proteins can serve as a baseline for the primary pharmacology of drugs. We show that the degree of off-target selectivity and safety risks of drugs derived from their secondary pharmacology depend very much on that baseline. Thus, we propose a new approach for estimating safety margins.
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Affiliation(s)
- Andreu Bofill
- Research Group on Systems Pharmacology, Research Program on Biomedical Informatics (GRIB), IMIM Hospital del Mar Medical Research Institute and University Pompeu Fabra, 08003 Barcelona, Catalonia, Spain
| | - Xavier Jalencas
- Research Group on Systems Pharmacology, Research Program on Biomedical Informatics (GRIB), IMIM Hospital del Mar Medical Research Institute and University Pompeu Fabra, 08003 Barcelona, Catalonia, Spain
| | - Tudor I Oprea
- Department of Internal Medicine, University of New Mexico School of Medicine, Albuquerque, NM, USA; UNM Comprehensive Cancer Center, Albuquerque, NM, USA; Department of Rheumatology and Inflammation Research, Institute of Medicine, Sahlgrenska Academy at University of Gothenburg, Gothenburg, Sweden; Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Jordi Mestres
- Research Group on Systems Pharmacology, Research Program on Biomedical Informatics (GRIB), IMIM Hospital del Mar Medical Research Institute and University Pompeu Fabra, 08003 Barcelona, Catalonia, Spain.
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28
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Fan F, Toledo Warshaviak D, Hamadeh HK, Dunn RT. The integration of pharmacophore-based 3D QSAR modeling and virtual screening in safety profiling: A case study to identify antagonistic activities against adenosine receptor, A2A, using 1,897 known drugs. PLoS One 2019; 14:e0204378. [PMID: 30605479 PMCID: PMC6317804 DOI: 10.1371/journal.pone.0204378] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2018] [Accepted: 12/12/2018] [Indexed: 12/23/2022] Open
Abstract
Safety pharmacology screening against a wide range of unintended vital targets using in vitro assays is crucial to understand off-target interactions with drug candidates. With the increasing demand for in vitro assays, ligand- and structure-based virtual screening approaches have been evaluated for potential utilization in safety profiling. Although ligand based approaches have been actively applied in retrospective analysis or prospectively within well-defined chemical space during the early discovery stage (i.e., HTS screening and lead optimization), virtual screening is rarely implemented in later stage of drug discovery (i.e., safety). Here we present a case study to evaluate ligand-based 3D QSAR models built based on in vitro antagonistic activity data against adenosine receptor 2A (A2A). The resulting models, obtained from 268 chemically diverse compounds, were used to test a set of 1,897 chemically distinct drugs, simulating the real-world challenge of safety screening when presented with novel chemistry and a limited training set. Due to the unique requirements of safety screening versus discovery screening, the limitations of 3D QSAR methods (i.e., chemotypes, dependence on large training set, and prone to false positives) are less critical than early discovery screen. We demonstrated that 3D QSAR modeling can be effectively applied in safety assessment prior to in vitro assays, even with chemotypes that are drastically different from training compounds. It is also worth noting that our model is able to adequately make the mechanistic distinction between agonists and antagonists, which is important to inform subsequent in vivo studies. Overall, we present an in-depth analysis of the appropriate utilization and interpretation of pharmacophore-based 3D QSAR models for safety screening.
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Affiliation(s)
- Fan Fan
- Amgen Research, Department of Comparative Biology and Safety Sciences, Thousand Oaks, CA, United States of America
- * E-mail:
| | - Dora Toledo Warshaviak
- Schrodinger Inc., San Diego, CA, United States of America
- Department of Molecular Engineering, Amgen Inc., Thousand Oaks, CA, United States of America
| | - Hisham K. Hamadeh
- Amgen Research, Department of Comparative Biology and Safety Sciences, Thousand Oaks, CA, United States of America
| | - Robert T. Dunn
- Amgen Research, Department of Comparative Biology and Safety Sciences, Thousand Oaks, CA, United States of America
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29
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Georgi V, Schiele F, Berger BT, Steffen A, Marin Zapata PA, Briem H, Menz S, Preusse C, Vasta JD, Robers MB, Brands M, Knapp S, Fernández-Montalván A. Binding Kinetics Survey of the Drugged Kinome. J Am Chem Soc 2018; 140:15774-15782. [PMID: 30362749 DOI: 10.1021/jacs.8b08048] [Citation(s) in RCA: 49] [Impact Index Per Article: 8.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
Target residence time is emerging as an important optimization parameter in drug discovery, yet target and off-target engagement dynamics have not been clearly linked to the clinical performance of drugs. Here we developed high-throughput binding kinetics assays to characterize the interactions of 270 protein kinase inhibitors with 40 clinically relevant targets. Analysis of the results revealed that on-rates are better correlated with affinity than off-rates and that the fraction of slowly dissociating drug-target complexes increases from early/preclinical to late stage and FDA-approved compounds, suggesting distinct contributions by each parameter to clinical success. Combining binding parameters with PK/ADME properties, we illustrate in silico and in cells how kinetic selectivity could be exploited as an optimization strategy. Furthermore, using bio- and chemoinformatics we uncovered structural features influencing rate constants. Our results underscore the value of binding kinetics information in rational drug design and provide a resource for future studies on this subject.
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Affiliation(s)
- Victoria Georgi
- Bayer AG, Drug Discovery, Pharmaceuticals , Müllerstraße 178 , 13353 Berlin , Germany.,Structural Genomics Consortium, Institute for Pharmaceutical Chemistry , Johann Wolfgang Goethe-University , Max-von-Laue-Straße 9 , 60438 Frankfurt am Main , Germany
| | - Felix Schiele
- Bayer AG, Drug Discovery, Pharmaceuticals , Müllerstraße 178 , 13353 Berlin , Germany
| | - Benedict-Tilman Berger
- Bayer AG, Drug Discovery, Pharmaceuticals , Müllerstraße 178 , 13353 Berlin , Germany.,Structural Genomics Consortium, Institute for Pharmaceutical Chemistry , Johann Wolfgang Goethe-University , Max-von-Laue-Straße 9 , 60438 Frankfurt am Main , Germany.,Structural Genomics Consortium, Buchmann Institute for Molecular Life Sciences , Johann Wolfgang Goethe-University , Max-von-Laue-Straße 15 , 60438 Frankfurt am Main , Germany
| | - Andreas Steffen
- Bayer AG, Drug Discovery, Pharmaceuticals , Müllerstraße 178 , 13353 Berlin , Germany
| | - Paula A Marin Zapata
- Bayer AG, Drug Discovery, Pharmaceuticals , Müllerstraße 178 , 13353 Berlin , Germany
| | - Hans Briem
- Bayer AG, Drug Discovery, Pharmaceuticals , Müllerstraße 178 , 13353 Berlin , Germany
| | - Stephan Menz
- Bayer AG, Drug Discovery, Pharmaceuticals , Müllerstraße 178 , 13353 Berlin , Germany
| | - Cornelia Preusse
- Bayer AG, Drug Discovery, Pharmaceuticals , Müllerstraße 178 , 13353 Berlin , Germany
| | - James D Vasta
- Promega Corporation , 2800 Woods Hollow Road , Fitchburg , Wisconsin 53711 , United States
| | - Matthew B Robers
- Promega Corporation , 2800 Woods Hollow Road , Fitchburg , Wisconsin 53711 , United States
| | - Michael Brands
- Bayer AG, Drug Discovery, Pharmaceuticals , Müllerstraße 178 , 13353 Berlin , Germany
| | - Stefan Knapp
- Structural Genomics Consortium, Institute for Pharmaceutical Chemistry , Johann Wolfgang Goethe-University , Max-von-Laue-Straße 9 , 60438 Frankfurt am Main , Germany.,Structural Genomics Consortium, Buchmann Institute for Molecular Life Sciences , Johann Wolfgang Goethe-University , Max-von-Laue-Straße 15 , 60438 Frankfurt am Main , Germany
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30
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Uteng M, Urban L, Brees D, Muller PY, Kullak-Ublick GA, Bouchard P, Tougas G, Chibout SD. Safety differentiation: emerging competitive edge in drug development. Drug Discov Today 2018; 24:285-292. [PMID: 30244081 DOI: 10.1016/j.drudis.2018.09.009] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2018] [Revised: 08/24/2018] [Accepted: 09/12/2018] [Indexed: 12/12/2022]
Abstract
With increasing expectations to provide evidence of drug efficacy, safety, and cost-effectiveness, best-in-class drugs are a major value driver for the pharmaceutical industry. Superior safety is a key differentiation criterion that could be achieved through better risk:benefit profiles, safety margins, fewer contraindications, and improved patient compliance. To accomplish this, comparative safety assessments using innovative and adaptive nonclinical and clinical outcome-based approaches should be undertaken, and continuous strategic adjustments must be made as the risk:benefit profiles evolve. Key success criteria include scientific expertise and integration between all disciplines during the full extent of the drug development process.
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Affiliation(s)
- Marianne Uteng
- Novartis Institutes for Biomedical Research, Translational Medicine, Pre-Clinical Safety, Basel, Switzerland.
| | - Laszlo Urban
- Novartis Institutes for Biomedical Research, Translational Medicine, Pre-Clinical Safety, Cambridge, MA, USA
| | - Dominique Brees
- Novartis Institutes for Biomedical Research, Translational Medicine, Pre-Clinical Safety, Basel, Switzerland
| | | | - Gerd A Kullak-Ublick
- Novartis Pharma AG, Global Drug Development, Chief Medical Office and Patient Safety, Basel, Switzerland; Department of Clinical Pharmacology and Toxicology, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Page Bouchard
- Novartis Institutes for Biomedical Research, Translational Medicine, Pre-Clinical Safety, Cambridge, MA, USA
| | - Gervais Tougas
- Novartis Pharma AG, Global Drug Development, Chief Medical Office and Patient Safety, Basel, Switzerland
| | - Salah-Dine Chibout
- Novartis Institutes for Biomedical Research, Translational Medicine, Pre-Clinical Safety, Basel, Switzerland
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31
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Valentin JP, Guillon JM, Jenkinson S, Kadambi V, Ravikumar P, Roberts S, Rosenbrier-Ribeiro L, Schmidt F, Armstrong D. In vitro secondary pharmacological profiling: An IQ-DruSafe industry survey on current practices. J Pharmacol Toxicol Methods 2018; 93:7-14. [PMID: 30030184 DOI: 10.1016/j.vascn.2018.07.001] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2018] [Revised: 07/12/2018] [Accepted: 07/15/2018] [Indexed: 01/05/2023]
Abstract
INTRODUCTION In 2015, IQ DruSafe conducted a survey of its membership to identify industry practices related to in vitro off target pharmacological profiling of small molecules. METHODS An anonymous survey of 20 questions was submitted to IQ-DruSafe representatives. Questions were designed to explore screening strategies, methods employed and experience of regulatory interactions related to in vitro secondary pharmacology profiling. RESULTS The pharmaceutical industry routinely utilizes panels of in vitro assays to detect undesirable off-target interactions of new chemical entities that are deployed at all stages of drug discovery and early development. The formats, approaches and size of panels vary between companies, in particular i) choice of assay technology; ii) test concentration (single vs. multiple concentrations) iii) rationale for targets and panels selection (taking into account organizational experience, primary target, therapeutic area, availability at service providers) iv) threshold level for significant interaction with a target and v) data interpretation. Data are generated during the early phases of drug discovery, principally before in vivo GLP studies (i.e., hit-to-lead, lead optimization, development candidate selection) and used to contextualize in vivo non-clinical and clinical findings. Data were included in regulatory documents, and around half of respondents experienced regulatory questions about the significance of the results. CONCLUSION While it seems that in vitro secondary pharmacological profiling is generally considered valuable across the industry, particularly as a tool in early phases of drug discovery for small molecules, there is only loose consensus on testing paradigm, the required interpretation and suitable follow up strategies to fully understand potential risk.
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Affiliation(s)
| | | | - Stephen Jenkinson
- Pfizer, Global Safety Pharmacology, Drug Safety Research and Development, San Diego, CA, USA
| | - Vivek Kadambi
- Blueprint Medicines, Nonclinical Development, Cambridge, MA, USA
| | - Peri Ravikumar
- Allergan, Nonclinical and Translational Sciences, Safety Assessment, Madison, NJ, USA
| | - Sonia Roberts
- Roche Pharmaceutical Research and Early Development, Pharmaceutical Sciences, Roche Innovation Center, Basel, Switzerland
| | - Lyn Rosenbrier-Ribeiro
- Discovery Safety, Drug Safety and Metabolism, IMED Biotech Unit, AstraZeneca, Cambridge, UK
| | - Friedemann Schmidt
- Sanofi-Aventis Deutschland GmbH, Preclinical Safety, R&D, Frankfurt am Main, Germany
| | - Duncan Armstrong
- Novartis Institutes for Biomedical Research, Pre-Clinical Safety, Cambridge, MA, USA
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32
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Yang X, Papoian T. Moving beyond the comprehensive in vitro proarrhythmia assay: Use of human-induced pluripotent stem cell-derived cardiomyocytes to assess contractile effects associated with drug-induced structural cardiotoxicity. J Appl Toxicol 2018; 38:1166-1176. [PMID: 29484688 DOI: 10.1002/jat.3611] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2017] [Revised: 01/25/2018] [Accepted: 01/25/2018] [Indexed: 01/19/2023]
Abstract
Drug-induced cardiotoxicity is a potentially severe side effect that can adversely affect myocardial contractility through structural or electrophysiological changes in cardiomyocytes. Human-induced pluripotent stem cell-derived cardiomyocytes (hiPSC-CMs) are a promising human cardiac in vitro model system to assess both proarrhythmic and non-proarrhythmic cardiotoxicity of new drug candidates. The scalable differentiation of hiPSCs into cardiomyocytes provides a renewable cell source that overcomes species differences present in current animal models of drug toxicity testing. The Comprehensive in vitro Proarrhythmia Assay (CiPA) initiative represents a paradigm shift for proarrhythmic risk assessment, and hiPSC-CMs are an integral component of that paradigm. The recent advancements in hiPSC-CMs will not only impact safety decisions for possible drug-induced proarrhythmia, but should also facilitate risk assessment for non-proarrhythmic cardiotoxicity, where current non-clinical approaches are limited in detecting this risk before initiation of clinical trials. Importantly, emerging evidence strongly suggests that the use of hiPSC-CMs with cardiac physiological relevant measurements in vitro improves the detection of structural cardiotoxicity. Here we review high-throughput drug screening using the hiPSC-CM model as an experimentally feasible approach to assess potential contractile and structural cardiotoxicity in early phase drug development. We also suggest that the assessment of structural cardiotoxicity can be added to electrophysiological tests in the same platform to complement the Comprehensive in vitro Proarrhythmia Assay for regulatory use. Ideally, application of these novel tools in early drug development will allow for more reliable risk assessment and lead to more informed regulatory decisions in making safe and effective drugs available to the public.
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Affiliation(s)
- Xi Yang
- Center for Drug Evaluation and Research, FDA, 10903 New Hampshire Ave, Silver Spring, MD, 20993, USA
| | - Thomas Papoian
- Center for Drug Evaluation and Research, FDA, 10903 New Hampshire Ave, Silver Spring, MD, 20993, USA
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33
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Park JH, Park SH, Lee HY, Lee JW, Lee BK, Lee BY, Kim JH, Kim MS. An injectable, electrostatically interacting drug depot for the treatment of rheumatoid arthritis. Biomaterials 2018; 154:86-98. [DOI: 10.1016/j.biomaterials.2017.10.055] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2017] [Revised: 10/26/2017] [Accepted: 10/26/2017] [Indexed: 12/17/2022]
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34
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Morgan P, Brown DG, Lennard S, Anderton MJ, Barrett JC, Eriksson U, Fidock M, Hamrén B, Johnson A, March RE, Matcham J, Mettetal J, Nicholls DJ, Platz S, Rees S, Snowden MA, Pangalos MN. Impact of a five-dimensional framework on R&D productivity at AstraZeneca. Nat Rev Drug Discov 2018; 17:167-181. [DOI: 10.1038/nrd.2017.244] [Citation(s) in RCA: 225] [Impact Index Per Article: 37.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
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35
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Sharif NA. iDrugs and iDevices Discovery Research: Preclinical Assays, Techniques, and Animal Model Studies for Ocular Hypotensives and Neuroprotectants. J Ocul Pharmacol Ther 2018; 34:7-39. [PMID: 29323613 DOI: 10.1089/jop.2017.0125] [Citation(s) in RCA: 25] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022] Open
Abstract
Discovery ophthalmic research is centered around delineating the molecular and cellular basis of ocular diseases and finding and exploiting molecular and genetic pathways associated with them. From such studies it is possible to determine suitable intervention points to address the disease process and hopefully to discover therapeutics to treat them. An investigational new drug (IND) filing for a new small-molecule drug, peptide, antibody, genetic treatment, or a device with global health authorities requires a number of preclinical studies to provide necessary safety and efficacy data. Specific regulatory elements needed for such IND-enabling studies are beyond the scope of this article. However, to enhance the overall data packages for such entities and permit high-quality foundation-building publications for medical affairs, additional research and development studies are always desirable. This review aims to provide examples of some target localization/verification, ocular drug discovery processes, and mechanistic and portfolio-enhancing exploratory investigations for candidate drugs and devices for the treatment of ocular hypertension and glaucomatous optic neuropathy (neurodegeneration of retinal ganglion cells and their axons). Examples of compound screening assays, use of various technologies and techniques, deployment of animal models, and data obtained from such studies are also presented.
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Affiliation(s)
- Najam A Sharif
- 1 Global Alliances & External Research , Santen Incorporated, Emeryville, California.,2 Department of Pharmaceutical Sciences, Texas Southern University , Houston, Texas.,3 Department of Pharmacology and Neuroscience, University of North Texas Health Sciences Center , Fort Worth, Texas
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36
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Abstract
The use of computational toxicology methods within drug discovery began in the early 2000s with applications such as predicting bacterial mutagenicity and hERG inhibition. The field has been continuously expanding ever since and the tasks at hand have become more complex. These approaches are now strategically integrated into the risk assessment process, as a complement to in vitro and in vivo methods. Today, computational toxicology can be used in every phase of drug discovery and development, from profiling large libraries early on, to predicting off-target effects in the mid-discovery phase, to assessing potential mutagenic impurities in development and degradants as part of life-cycle management. This chapter provides an overview of the field and describes the application of computational toxicology throughout the entire discovery and development process.
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Affiliation(s)
- Catrin Hasselgren
- PureInfo Discovery Inc., Albuquerque, NM, USA.
- Leadscope Inc., Columbus, OH, USA.
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Ayme-Dietrich E, Lawson R, Côté F, de Tapia C, Da Silva S, Ebel C, Hechler B, Gachet C, Guyonnet J, Rouillard H, Stoltz J, Quentin E, Banas S, Daubeuf F, Frossard N, Gasser B, Mazzucotelli JP, Hermine O, Maroteaux L, Monassier L. The role of 5-HT 2B receptors in mitral valvulopathy: bone marrow mobilization of endothelial progenitors. Br J Pharmacol 2017; 174:4123-4139. [PMID: 28806488 DOI: 10.1111/bph.13981] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2017] [Revised: 07/03/2017] [Accepted: 08/03/2017] [Indexed: 12/20/2022] Open
Abstract
BACKGROUND AND PURPOSE Valvular heart disease (VHD) is highly prevalent in industrialized countries. Chronic use of anorexigens, amphetamine or ergot derivatives targeting the 5-HT system is associated with VHD. Here, we investigated the contribution of 5-HT receptors in a model of valve degeneration induced by nordexfenfluramine, the main metabolite of the anorexigens, dexfenfluramine and benfluorex. EXPERIMENTAL APPROACH Nordexfenfluramine was infused chronically (28 days) in mice ((WT and transgenic Htr2B -/- , Htr2A -/- , and Htr2B/2A -/- ) to induce mitral valve lesions. Bone marrow transplantation was also carried out. Haemodynamics were measured with echocardiography; tissues and cells were analysed by histology, immunocytochemistry, flow cytometry and RT -qPCR. Samples of human prolapsed mitral valves were also analysed. KEY RESULTS Chronic treatment of mice with nordexfenfluramine activated 5-HT2B receptors and increased valve thickness and cell density in a thick extracellular matrix, mimicking early steps of mitral valve remodelling. Lesions were prevented by 5-HT2A or 5-HT2B receptor antagonists and in transgenic Htr2B -/- or Htr2A/2B -/- mice. Surprisingly, valve lesions were mainly formed by numerous non-proliferative CD34+ endothelial progenitors. These progenitors originated from bone marrow (BM) as revealed by BM transplantation. The initial steps of mitral valve remodelling involved mobilization of BM-derived CD34+ CD31+ cells by 5-HT2B receptor stimulation. Analysis of human prolapsed mitral valves showing spontaneous degenerative lesions, demonstrated the presence of non-proliferating CD34+ /CD309+ /NOS3+ endothelial progenitors expressing 5-HT2B receptors. CONCLUSIONS AND IMPLICATIONS BM-derived endothelial progenitor cells make a crucial contribution to the remodelling of mitral valve tissue. Our data describe a new and important mechanism underlying human VHD.
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Affiliation(s)
- Estelle Ayme-Dietrich
- Laboratoire de Neurobiologie et Pharmacologie Cardiovasculaire (EA7296), Faculté de Médecine, Fédération de Médecine Translationnelle, Université et Centre Hospitalier de Strasbourg, Strasbourg, France
| | - Roland Lawson
- Laboratoire de Neurobiologie et Pharmacologie Cardiovasculaire (EA7296), Faculté de Médecine, Fédération de Médecine Translationnelle, Université et Centre Hospitalier de Strasbourg, Strasbourg, France
| | - Francine Côté
- Department of Hematology, Institut Imagine, INSERM U1183 CNRS ERL 8254, Université Paris Descartes-Sorbonne Paris Cité, Hôpital Universitaire Necker Enfants Malades, Paris, France.,Laboratory of Excellence GR-Ex, Paris, France
| | - Claudia de Tapia
- Laboratoire de Neurobiologie et Pharmacologie Cardiovasculaire (EA7296), Faculté de Médecine, Fédération de Médecine Translationnelle, Université et Centre Hospitalier de Strasbourg, Strasbourg, France
| | - Sylvia Da Silva
- Laboratoire de Neurobiologie et Pharmacologie Cardiovasculaire (EA7296), Faculté de Médecine, Fédération de Médecine Translationnelle, Université et Centre Hospitalier de Strasbourg, Strasbourg, France
| | - Claudine Ebel
- Department of Flow Cytometry, Institut de Génétique et de Biologie Moléculaire et Cellulaire, Illkirch, France
| | - Béatrice Hechler
- Etablissement Français du sang (EFS) Alsace, Inserm U949, Strasbourg, France
| | - Christian Gachet
- Etablissement Français du sang (EFS) Alsace, Inserm U949, Strasbourg, France
| | - Jérome Guyonnet
- Pharmaceutical Research Department, CEVA Santé Animale, Libourne, France
| | - Hélène Rouillard
- Laboratoire de Pathologie, Centre Hospitalier Emile Muller, Mulhouse, France
| | - Jordane Stoltz
- Laboratoire de Pathologie, Centre Hospitalier Emile Muller, Mulhouse, France
| | - Emily Quentin
- INSERM UMR-S 839, Paris, France.,Sorbonne Université́, UPMC Univ Paris 06, Paris, France.,Institut du Fer à Moulin, Paris, France
| | - Sophie Banas
- INSERM UMR-S 839, Paris, France.,Sorbonne Université́, UPMC Univ Paris 06, Paris, France.,Institut du Fer à Moulin, Paris, France
| | - François Daubeuf
- Laboratoire d'Innovation Thérapeutique, UMR7200 CNRS/Université de Strasbourg, LabExMedalis, Faculté de Pharmacie, Illkirch, France
| | - Nelly Frossard
- Laboratoire d'Innovation Thérapeutique, UMR7200 CNRS/Université de Strasbourg, LabExMedalis, Faculté de Pharmacie, Illkirch, France
| | - Bernard Gasser
- Laboratoire de Pathologie, Centre Hospitalier Emile Muller, Mulhouse, France
| | | | - Olivier Hermine
- Department of Hematology, Institut Imagine, INSERM U1183 CNRS ERL 8254, Université Paris Descartes-Sorbonne Paris Cité, Hôpital Universitaire Necker Enfants Malades, Paris, France.,Laboratory of Excellence GR-Ex, Paris, France
| | - Luc Maroteaux
- INSERM UMR-S 839, Paris, France.,Sorbonne Université́, UPMC Univ Paris 06, Paris, France.,Institut du Fer à Moulin, Paris, France
| | - Laurent Monassier
- Laboratoire de Neurobiologie et Pharmacologie Cardiovasculaire (EA7296), Faculté de Médecine, Fédération de Médecine Translationnelle, Université et Centre Hospitalier de Strasbourg, Strasbourg, France
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Papoian T, Jagadeesh G, Saulnier M, Simpson N, Ravindran A, Yang B, Laniyonu AA, Khan I, Szarfman A. Regulatory Forum Review*: Utility of in Vitro Secondary Pharmacology Data to Assess Risk of Drug-induced Valvular Heart Disease in Humans: Regulatory Considerations. Toxicol Pathol 2017; 45:381-388. [DOI: 10.1177/0192623317690609] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
Abstract
Drug-induced valvular heart disease (VHD) is a serious side effect linked to long-term treatment with 5-hydroxytryptamine (serotonin) receptor 2B (5-HT2B) agonists. Safety assessment for off-target pharmacodynamic activity is a common approach used to screen drugs for this undesired property. Such studies include in vitro assays to determine whether the drug is a 5-HT2B agonist, a necessary pharmacological property for development of VHD. Measures of in vitro binding affinity (IC50, Ki) or cellular functional activity (EC50) are often compared to maximum therapeutic free plasma drug levels ( fCmax) from which safety margins (SMs) can be derived. However, there is no clear consensus on what constitutes an appropriate SM under various therapeutic conditions of use. The strengths and limitations of SM determinations and current risk assessment methodology are reviewed and evaluated. It is concluded that the use of SMs based on Ki values, or those relative to serotonin (5-HT), appears to be a better predictor than the use of EC50 or EC50/human fCmax values for determining whether known 5-HT2B agonists have resulted in VHD. It is hoped that such a discussion will improve efforts to reduce this preventable serious drug-induced toxicity from occurring and lead to more informed risk assessment strategies.
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Affiliation(s)
- Thomas Papoian
- Division of Cardiovascular and Renal Products, Center for Drug Evaluation and Research, U.S. Food and Drug Administration, Silver Spring, Maryland, USA
| | - Gowraganahalli Jagadeesh
- Division of Cardiovascular and Renal Products, Center for Drug Evaluation and Research, U.S. Food and Drug Administration, Silver Spring, Maryland, USA
| | - Muriel Saulnier
- Division of Cardiovascular and Renal Products, Center for Drug Evaluation and Research, U.S. Food and Drug Administration, Silver Spring, Maryland, USA
| | - Natalie Simpson
- Division of Hematology Oncology Toxicology, Center for Drug Evaluation and Research, U.S. Food and Drug Administration, Silver Spring, Maryland, USA
| | - Arippa Ravindran
- Division of Psychiatry Products, Center for Drug Evaluation and Research, U.S. Food and Drug Administration, Silver Spring, Maryland, USA
| | - Baichun Yang
- Division of Cardiovascular and Renal Products, Center for Drug Evaluation and Research, U.S. Food and Drug Administration, Silver Spring, Maryland, USA
| | - Adebayo A. Laniyonu
- Division of Medical Imaging Products, Center for Drug Evaluation and Research, U.S. Food and Drug Administration, Silver Spring, Maryland, USA
| | - Imran Khan
- Division of Psychiatry Products, Center for Drug Evaluation and Research, U.S. Food and Drug Administration, Silver Spring, Maryland, USA
| | - Ana Szarfman
- Division of Cardiovascular and Renal Products, Center for Drug Evaluation and Research, U.S. Food and Drug Administration, Silver Spring, Maryland, USA
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