Importance of ADME and Bioanalysis in the Drug Discovery
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
Pharmacogenomic Profiling of ADME Gene Variants
Review Pharmacogenomic Profiling of ADME Gene Variants: Current Challenges and Validation Perspectives Mariamena Arbitrio 1, Maria Teresa Di Martino 2, Francesca Scionti 2, Vito Barbieri 3, Licia Pensabene 4 and Pierosandro Tagliaferri 2,* 1 Institute of Neurological Sciences, UOS of Pharmacology, 88100 Catanzaro, Italy; [email protected] 2 Department of Experimental and Clinical Medicine, Magna Graecia University, Salvatore Venuta University Campus, 88100 Catanzaro, Italy; [email protected] (M.T.D.M.); [email protected] (F.S.) 3 Medical Oncology Unit, Mater Domini Hospital, Salvatore Venuta University Campus, 88100 Catanzaro, Italy; [email protected] 4 Department of Medical and Surgical Sciences Pediatric Unit, Magna Graecia University, 88100 Catanzaro, Italy; [email protected] * Correspondence: [email protected]; Tel.: +39-0961-3697324 Received: 5 October 2018; Accepted: 13 December 2018; Published: 18 December 2018 Abstract: In the past decades, many efforts have been made to individualize medical treatments, taking into account molecular profiles and the individual genetic background. The development of molecularly targeted drugs and immunotherapy have revolutionized medical treatments but the inter-patient variability in the anti-tumor drug pharmacokinetics (PK) and pharmacodynamics can be explained, at least in part, by genetic variations in genes encoding drug metabolizing enzymes and transporters (ADME) or in genes encoding drug receptors. Here, we focus on high-throughput technologies applied for PK screening for the identification of predictive biomarkers of efficacy or toxicity in cancer treatment, whose application in clinical practice could promote personalized treatments tailored on individual’s genetic make-up. Pharmacogenomic tools have been implemented and the clinical utility of pharmacogenetic screening could increase safety in patients for the identification of drug metabolism-related biomarkers for a personalized medicine. -
Clinical Pharmacology 1: Phase 1 Studies and Early Drug Development
Clinical Pharmacology 1: Phase 1 Studies and Early Drug Development Gerlie Gieser, Ph.D. Office of Clinical Pharmacology, Div. IV Objectives • Outline the Phase 1 studies conducted to characterize the Clinical Pharmacology of a drug; describe important design elements of and the information gained from these studies. • List the Clinical Pharmacology characteristics of an Ideal Drug • Describe how the Clinical Pharmacology information from Phase 1 can help design Phase 2/3 trials • Discuss the timing of Clinical Pharmacology studies during drug development, and provide examples of how the information generated could impact the overall clinical development plan and product labeling. Phase 1 of Drug Development CLINICAL DEVELOPMENT RESEARCH PRE POST AND CLINICAL APPROVAL 1 DISCOVERY DEVELOPMENT 2 3 PHASE e e e s s s a a a h h h P P P Clinical Pharmacology Studies Initial IND (first in human) NDA/BLA SUBMISSION Phase 1 – studies designed mainly to investigate the safety/tolerability (if possible, identify MTD), pharmacokinetics and pharmacodynamics of an investigational drug in humans Clinical Pharmacology • Study of the Pharmacokinetics (PK) and Pharmacodynamics (PD) of the drug in humans – PK: what the body does to the drug (Absorption, Distribution, Metabolism, Excretion) – PD: what the drug does to the body • PK and PD profiles of the drug are influenced by physicochemical properties of the drug, product/formulation, administration route, patient’s intrinsic and extrinsic factors (e.g., organ dysfunction, diseases, concomitant medications, -
ADME and Pharmacokinetic Properties of Remdesivir: Its Drug Interaction Potential
pharmaceuticals Review ADME and Pharmacokinetic Properties of Remdesivir: Its Drug Interaction Potential Subrata Deb * , Anthony Allen Reeves, Robert Hopefl and Rebecca Bejusca Department of Pharmaceutical Sciences, College of Pharmacy, Larkin University, Miami, FL 33169, USA; [email protected] (A.A.R.); [email protected] (R.H.); [email protected] (R.B.) * Correspondence: [email protected]; Tel.: +224-310-7870 Abstract: On 11 March 2020, the World Health Organization (WHO) classified the Coronavirus Disease 2019 (COVID-19) as a global pandemic, which tested healthcare systems, administrations, and treatment ingenuity across the world. COVID-19 is caused by the novel beta coronavirus Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2). Since the inception of the pandemic, treatment options have been either limited or ineffective. Remdesivir, a drug originally designed to be used for Ebola virus, has antiviral activity against SARS-CoV-2 and has been included in the COVID-19 treatment regimens. Remdesivir is an adenosine nucleotide analog prodrug that is metabolically activated to a nucleoside triphosphate metabolite (GS-443902). The active nucleoside triphosphate metabolite is incorporated into the SARS-CoV-2 RNA viral chains, preventing its replication. The lack of reported drug development and characterization studies with remdesivir in public domain has created a void where information on the absorption, distribution, metabolism, elimination (ADME) properties, pharmacokinetics (PK), or drug-drug interaction (DDI) is limited. By Citation: Deb, S.; Reeves, A.A.; understanding these properties, clinicians can prevent subtherapeutic and supratherapeutic levels of Hopefl, R.; Bejusca, R. ADME and remdesivir and thus avoid further complications in COVID-19 patients. Remdesivir is metabolized Pharmacokinetic Properties of by both cytochrome P450 (CYP) and non-CYP enzymes such as carboxylesterases. -
Addressing Toxicity Risk When Designing and Selecting Compounds in Early Drug Discovery
Addressing Toxicity Risk when Designing and Selecting Compounds in Early Drug Discovery Matthew D. Segall* and Chris Barber† * Optibrium Ltd., 7221 Cambridge Research Park, Beach Drive, Cambridge, CB25 9TL † Lhasa Limited, 22-23 Blenheim Terrace, Woodhouse Lane, Leeds, LS2 9HD Abstract Toxicity accounts for approximately 30% of expensive, late stage failures in development. Therefore, identifying and prioritising chemistries with a lower risk of toxicity, as early as possible in the drug discovery process, would help to address the high attrition rate in pharmaceutical R&D. We will describe how expert knowledge-based prediction of toxicity can alert chemists if their proposed compounds are likely to have an increased risk of causing toxicity. However, an alert for potential toxicity should be given appropriate weight in the selection of compounds to balance potential opportunities against downstream toxicity risk. If a series achieves good outcomes for other requirements, it may be appropriate to progress selected compounds and generate experimental data to confirm or refute a prediction of potential toxicity. We will discuss how multi- parameter optimisation approaches can be used to balance the potential for toxicity with other properties required in a high quality candidate drug, such as potency and appropriate absorption, distribution, metabolism and elimination (ADME). Furthermore, it may be possible to modify a compound to reduce its likelihood of toxicity and we will describe how information on the region of a compound that triggers a toxicity alert can be interactively visualised to guide this redesign. 7221 Cambridge Research Park Tel: +44 1223 815900 Email: [email protected] Beach Drive, Cambridge Fax: +44 1223 815907 Website: www.optibrium.com CB25 9TL, UK Optibrium Limited, registered in England and Wales No. -
Database: a Brazilian Repository of Chemical and Biological Information for Drug Design
The Brazilian Compound Library (BraCoLi) database: a Brazilian repository of chemical and biological information for drug design Gabriel Corrêa Veríssimo1*, Valtair Severino dos Santos Júnior1*, Ingrid Ariela do Rosário de Almeida1, Marina Sant'Anna Mitraud Ruas1, Lukas Galuppo Coutinho1, Renata Barbosa de Oliveira1, Ricardo José Alves1, Vinícius Gonçalves Maltarollo1‡ 1. Laboratório de Química Farmacêutica, Departamento de Produtos Farmacêuticos, Faculdade de Farmácia, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil. *The authors equally contributed to the manuscript ‡Correspondence author: [email protected] ABSTRACT The Brazilian Compound Library (BraCoLi) is a novel virtual library of manually curated compounds developed by Brazilian research groups to support further computer-aided drug design works. Herein, the first version of the database is described comprising 1,176 compounds. Also, the chemical diversity and drug-like profile of BraCoLi were defined to analyze its chemical space. A significant amount of the compounds fitted Lipinski and Veber’s rules, alongside other drug-likeness properties. Principal component analysis showed that BraCoLi is similar to other databases (FDA-approved drugs and NuBBEDB) regarding structural and physicochemical patterns. Finally, a scaffold analysis showed that BraCoLi presents several privileged chemical skeletons with great diversity. Keywords: drug design, database, chemical library, medicinal chemistry, cheminformatics. INTRODUCTION The application of computational tools as an ally in drug design was an important milestone in medicinal chemistry. This approach is known as computer-aided drug design (CADD) and it is extensively used in several studies to optimize the discovery and design of new drug candidates1,2. Molecular docking, structure-activity relationship 1 (SAR) studies, and virtual screening are a few examples of available computational techniques that are widely employed in drug design3. -
Absolute Bioavailability and Dose-Dependent Pharmacokinetic Behaviour Of
Downloaded from https://www.cambridge.org/core British Journal of Nutrition (2008), 99, 559–564 doi: 10.1017/S0007114507824093 q The Authors 2007 Absolute bioavailability and dose-dependent pharmacokinetic behaviour of . IP address: dietary doses of the chemopreventive isothiocyanate sulforaphane in rat 170.106.202.8 Natalya Hanlon1, Nick Coldham2, Adriana Gielbert2, Nikolai Kuhnert1, Maurice J. Sauer2, Laurie J. King1 and Costas Ioannides1* 1Molecular Toxicology Group, School of Biomedical and Molecular Sciences, University of Surrey, Guildford, , on Surrey GU2 7XH, UK 30 Sep 2021 at 18:04:41 2TSE Molecular Biology Department, Veterinary Laboratories Agency Weybridge, Woodham Lane, New Haw, Addlestone, Surrey KT15 3NB, UK (Received 29 March 2007 – Revised 12 July 2007 – Accepted 25 July 2007) , subject to the Cambridge Core terms of use, available at Sulforaphane is a naturally occurring isothiocyanate with promising chemopreventive activity. An analytical method, utilising liquid chromatog- raphy-MS/MS, which allows the determination of sulforaphane in small volumes of rat plasma following exposure to low dietary doses, was devel- oped and validated, and employed to determine its absolute bioavailability and pharmacokinetic characteristics. Rats were treated with either a single intravenous dose of sulforaphane (2·8 mmol/kg) or single oral doses of 2·8, 5·6 and 28 mmol/kg. Sulforaphane plasma concentrations were determined in blood samples withdrawn from the rat tail at regular time intervals. Following intravenous administration, the plasma profile of sulforaphane was best described by a two-compartment pharmacokinetic model, with a prolonged terminal phase. Sulforaphane was very well and rapidly absorbed and displayed an absolute bioavailability of 82 %, which, however, decreased at the higher doses, indicating a dose-dependent pharmacokinetic behaviour; similarly, Cmax values did not rise proportionately to the dose. -
Swissadme: a Free Web Tool to Evaluate Pharmacokinetics, Drug
www.nature.com/scientificreports OPEN SwissADME: a free web tool to evaluate pharmacokinetics, drug- likeness and medicinal chemistry Received: 05 October 2016 Accepted: 13 January 2017 friendliness of small molecules Published: 03 March 2017 Antoine Daina1, Olivier Michielin1,2,3 & Vincent Zoete1 To be effective as a drug, a potent molecule must reach its target in the body in sufficient concentration, and stay there in a bioactive form long enough for the expected biologic events to occur. Drug development involves assessment of absorption, distribution, metabolism and excretion (ADME) increasingly earlier in the discovery process, at a stage when considered compounds are numerous but access to the physical samples is limited. In that context, computer models constitute valid alternatives to experiments. Here, we present the new SwissADME web tool that gives free access to a pool of fast yet robust predictive models for physicochemical properties, pharmacokinetics, drug-likeness and medicinal chemistry friendliness, among which in-house proficient methods such as the BOILED- Egg, iLOGP and Bioavailability Radar. Easy efficient input and interpretation are ensured thanks to a user-friendly interface through the login-free website http://www.swissadme.ch. Specialists, but also nonexpert in cheminformatics or computational chemistry can predict rapidly key parameters for a collection of molecules to support their drug discovery endeavours. During the time- and resource-consuming processes of drug discovery and development, a large number of molecular structures are evaluated according to very diverse parameters in order to steer the selection of which chemicals to synthetize, test and promote, with the final goal to identify those with the best chance to become an effective medicine for the patients. -
Intestinal Permeability and Drug Absorption: Predictive Experimental, Computational and in Vivo Approaches
pharmaceutics Review Intestinal Permeability and Drug Absorption: Predictive Experimental, Computational and In Vivo Approaches David Dahlgren and Hans Lennernäs * Department of Pharmacy, Uppsala University, Box 580 SE-751 23 Uppsala, Sweden * Correspondence: [email protected]; Tel.: +46-18-471-4317; Fax: +46-18-471-4223 Received: 2 July 2019; Accepted: 7 August 2019; Published: 13 August 2019 Abstract: The main objective of this review is to discuss recent advancements in the overall investigation and in vivo prediction of drug absorption. The intestinal permeability of an orally administered drug (given the value Peff) has been widely used to determine the rate and extent of the drug’s intestinal absorption (Fabs) in humans. Preclinical gastrointestinal (GI) absorption models are currently in demand for the pharmaceutical development of novel dosage forms and new drug products. However, there is a strong need to improve our understanding of the interplay between pharmaceutical, biopharmaceutical, biochemical, and physiological factors when predicting Fabs and bioavailability. Currently, our knowledge of GI secretion, GI motility, and regional intestinal permeability, in both healthy subjects and patients with GI diseases, is limited by the relative inaccessibility of some intestinal segments of the human GI tract. In particular, our understanding of the complex and highly dynamic physiology of the region from the mid-jejunum to the sigmoid colon could be significantly improved. One approach to the assessment of intestinal permeability is to use animal models that allow these intestinal regions to be investigated in detail and then to compare the results with those from simple human permeability models such as cell cultures. -
Pharmacoscan Solution Pharmacoscan Solution Preemptive Genotyping of Known Pharmacogenomics Markers in a Single Assay
DATA SHEET PharmacoScan Solution PharmacoScan Solution Preemptive genotyping of known pharmacogenomics markers in a single assay Personalized medicine is becoming a reality with the Key features advancement of technologies that allow us to understand • 4,627 markers in 1,191 genes of known the common variation in genes coding for drug metabolism pharmacogenomic value and drug transporters. However, attrition of drug • Comprehensive content of known pharmacogenomic candidates in the pharmaceutical industry continues to value including phase I and phase II enzymes, regulatory make the drug discovery process costly and lengthy. This and modifier genes, drug target genes, and phase III attrition is commonly due to poor pharmacokinetics and transporter genes toxicity—two risks that can be strongly influenced by the variability in drug responses due to genetic variation. The • Genotyping of highly predictive markers in genes, process of dissecting environmental factors, physiological including GSTM1, CYP1A2, CYP2D6, CYP2B6, CYP2A6, variables, and genetic characteristics (pharmacogenetics) SULT1A1, CYP2C19, and CYP2C9 that are in highly is complicated by the large numbers of drug-metabolizing homologous regions enzymes that contribute to the processing of most drugs. • Copy number variation (CNV) analysis for copy number states ranging from 0 to >3 for important ADME genes A molecular assay designed for multiethnic populations that targets functional variations in all the key genes • Star allele and translation tables for key actionable genes involved in the absorption, distribution, metabolism, and excretion (ADME) of commonly prescribed medications can help reduce the lengthy timelines and complexities within the drug discovery process. The Applied Biosystems™ PharmacoScan™ Solution offers such capability by providing broad coverage of industry-relevant, multiethnic content, and the capability to address markers in complex genes on a platform that has superior lot-to-lot reproducibility. -
Bioavailability and Bioequivalence Studies Submitted in Ndas Or Inds — General Considerations
Guidance for Industry Bioavailability and Bioequivalence Studies Submitted in NDAs or INDs — General Considerations DRAFT GUIDANCE This guidance document is being distributed for comment purposes only. Comments and suggestions regarding this draft document should be submitted within 60 days of publication in the Federal Register of the notice announcing the availability of the draft guidance. Submit electronic comments to http://www.regulations.gov. Submit written comments to the Division of Dockets Management (HFA-305), Food and Drug Administration, 5630 Fishers Lane, rm. 1061, Rockville, MD 20852. All comments should be identified with the docket number listed in the notice of availability that publishes in the Federal Register. For questions regarding this draft document contact the CDER Office of Clinical Pharmacology at 301-796-5008 or [email protected]. U.S. Department of Health and Human Services Food and Drug Administration Center for Drug Evaluation and Research (CDER) March 2014 Biopharmaceutics Guidance for Industry Bioavailability and Bioequivalence Studies Submitted in NDAs or INDs— General Considerations Additional copies are available from: Office of Communications Division of Drug Information, WO51, Room 2201 Center for Drug Evaluation and Research Food and Drug Administration 10903 New Hampshire Avenue, Silver Spring, MD 20993 http://www.fda.gov/Drugs/GuidanceComplianceRegulatoryInformation/Guidances/default.htm Phone: 301-796-3400; Fax: 301-847-8714 [email protected] U.S. Department of Health and Human Services Food -
Targeting CD133 Reverses Drug-Resistance Via the AKT/NF-κB/MDR1 Pathway in Colorectal Cancer
www.nature.com/bjc ARTICLE Translational Therapeutics Targeting CD133 reverses drug-resistance via the AKT/NF- κB/MDR1 pathway in colorectal cancer Zeting Yuan1,2, Xin Liang3, Yueping Zhan4, Ziyuan Wang5, Jian Xu4, Yanyan Qiu1, Jie Wang6, Yijun Cao6, Van-Minh Le7, Hai-Trieu Ly7, Jianhua Xu1, Wei Li6, Peihao Yin1,2,6 and Ke Xu1,2,4 BACKGROUND: Recent studies have shown that multidrug resistance may be induced by the high stemness of cancer cells. Following prolonged chemotherapy, MDR protein 1 (MDR1) and CD133 increase in CRC, but the relationship between them is unclear. METHODS: The relationship between MDR and CSC properties in CRC was determined via CCK-8 assay, apoptosis assay, DOX uptake and retention, immunohistochemistry, immunofluorescence and flow cytometry. The correlations between their expression levels were evaluated using Spearman’s rank statistical test and the Mann-Whitney test. Furthermore, the effect of CD133 on the repression of the AKT/NF-κB/MDR1 signalling pathway was investigated in vitro and in vivo. RESULTS: We found that CD133 increased with the emergence of drug-resistance phenotypes, and the high expression of MDR1/P- gp was consistently accompanied by positive expression of CD133 as demonstrated by the analysis of patient samples. Up- or downregulation of CD133 could regulate MDR via AKT/NF-κB/MDR1 signalling in CRC. A rescue experiment showed that the AKT/ NF-κB signalling pathway is the main mechanism by which CD133 regulates MDR1/P-gp expression in CRC. CONCLUSIONS: Taken together, our results suggest that targeting CD133 reverses drug resistance via the AKT/NF-κB/MDR1 pathway and that this pathway might serve as a potential therapeutic target to reverse MDR in CRC. -
Method of Rough Estimation of Median Lethal Dose (Ld50)
b Meta olis g m & ru D T o f x o i Journal of Drug Metabolism and l c a o n l o r Saganuwan, J Drug Metab Toxicol 2015, 6:3 g u y o J Toxicology DOI: 10.4172/2157-7609.1000180 ISSN: 2157-7609 Research Article Open Access Arithmetic-Geometric-Harmonic (AGH) Method of Rough Estimation of Median Lethal Dose (Ld50) Using Up – and – Down Procedure *Saganuwan Alhaji Saganuwan Department of Veterinary Physiology, Pharmacology and Biochemistry, College Of Veterinary Medicine, University Of Agriculture, P.M.B. 2373, Makurdi, Benue State, Nigeria *Corresponding author: Saganuwan Alhaji Saganuwan, Department of Veterinary Physiology, Pharmacology and Biochemistry, College Of Veterinary Medicine, University Of Agriculture, P.M.B. 2373, Makurdi, Benue State, Nigeria, Tel: +2348027444269; E-mail: [email protected] Received date: April 6,2015; Accepted date: April 29,2015; Published date: May 6,2015 Copyright: © 2015 Saganuwan SA . This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Abstract Earlier methods adopted for the estimation of median lethal dose (LD50) used many animals (40 – 100). But for the up – and – down procedure, 5 – 15 animals can be used, the number I still consider high. So this paper seeks to adopt arithmetic, geometric and harmonic (AGH) mean for rough estimation of median lethal dose (LD50) using up – and – down procedure by using 2 – 6 animals that may likely give 1 – 3 reversals. The administrated doses should be summed up and the mean, standard deviation (STD) and standard error of mean (SEM) should be determined.