Potency and Efficacy (Effectiveness) - Therapeutic Index
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
1: Clinical Pharmacokinetics 1
1: CLINICAL PHARMACOKINETICS 1 General overview: clinical pharmacokinetics, 2 Pharmacokinetics, 4 Drug clearance (CL), 6 Volume of distribution (Vd), 8 The half-life (t½), 10 Oral availability (F), 12 Protein binding (PB), 14 pH and pharmacokinetics, 16 1 Clinical pharmacokinetics General overview General overview: clinical pharmacokinetics 1 The ultimate aim of drug therapy is to achieve effi cacy without toxicity. This involves achieving a plasma concentration (Cp) within the ‘therapeutic window’, i.e. above the min- imal effective concentration (MEC), but below the minimal toxic concentration (MTC). Clinical pharmacokinetics is about all the factors that determine variability in the Cp and its time-course. The various factors are dealt with in subsequent chapters. Ideal therapeutics: effi cacy without toxicity Minimum Toxic Concentration (MTC) Ideal dosing Minimum Effective Concentration (MEC) Drug concentration Time The graph shows a continuous IV infusion at steady state, where the dose-rate is exactly appropriate for the patient’s clearance (CL). Inappropriate dosing Dosing too high in relation to the patient’s CL – toxicity likely Minimum Toxic Concentration (MTC) Minimum Effective Concentration (MEC) Dosing too low in relation to the Drug concentration patient’s CL – drug may be ineffective Time Some reasons for variation in CL Low CL High CL Normal variation Normal variation Renal impairment Increased renal blood fl ow Genetic poor metabolism Genetic hypermetabolism Liver impairment Enzyme induction Enzyme inhibition Old age/neonate 2 General overview Clinical Pharmacokinetics Pharmacokinetic factors determining ideal therapeutics If immediate effect is needed, a loading dose (LD) must be given to achieve a desired 1 concentration. The LD is determined by the volume of distribution (Vd). -
Narrow Therapeutic Index
Therapeutic Drug Monitoring Some drugs have a narrow therapeutic index, which means that there is only a small difference between the minimum effective concentrations and the minimum toxic concentrations in the blood. With such drugs, small increases in dose or in blood/serum concentrations could lead to toxic effects. Therapeutic drug monitoring may help to optimise treatment in cases where there is a firm relationship between the toxic/therapeutic effects and drug concentrations in whole blood/serum. A therapeutic interval has been defined for the drugs in the following tables. This is the minimum effective and maximum safe concentration for compliant patients, on stabilised regimens. Levels within these limits should prove satisfactory in most cases. Whole blood or serum drug concentrations are useful for determining patient compliance or for assessing whether or not: 1. adequate concentrations are being achieved or, 2. potentially toxic concentrations are being reached. Depending on clinical conditions, dosage adjustments may be needed when levels are outside the therapeutic interval. Therapeutic drug monitoring can also be useful when changes are made to other medications that could affect serum or whole blood concentrations and lead to a reduction in effectiveness or increased toxicity. Although plasma drug concentrations and the therapeutic interval are useful in evaluating drug therapy, they should not be the only criteria on which treatment is based. Always remember to treat the patient, not the level. Drug concentrations in serum or whole blood are only meaningful if the correct procedures are followed regarding the timing of specimens and selection of sample tube. It is vitally important to note the exact time the sample is taken and when each dose of the drug is given. -
Exploring the Concept of Safety and Tolerability
SECOND ANNUAL WORKSHOP ON CLINICAL OUTCOME ASSESSMENTS IN CANCER CLINICAL TRIALS April 25, 2017 Bethesda, MD Co-sponsored by Session 1 Exploring the Concepts of Safety and Tolerability: Incorporating the Patient Voice SECOND ANNUAL WORKSHOP ON CLINICAL OUTCOME ASSESSMENTS IN CANCER CLINICAL TRIALS April 25, 2017 Bethesda, MD Co-sponsored by Disclaimer • The views and opinions expressed in the following slides are those of the individual presenters and should not be attributed to their respective organizations/companies, the U.S. Food and Drug Administration or the Critical Path Institute. • These slides are the intellectual property of the individual presenters and are protected under the copyright laws of the United States of America and other countries. Used by permission. All rights reserved. All trademarks are the property of their respective owners. 3 Session Participants Chair • Bindu Kanapuru, MD – Medical Officer, Division of Hematology Products, OHOP, FDA Presenters • James (Randy) Hillard, MD – Professor of Psychiatry, Michigan State University • Crystal Denlinger, MD, FACP – Associate Professor, Department of Hematology/Oncology; Chief, Gastrointestinal Medical Oncology; Director, Survivorship Program; Deputy Director, Phase 1 Program, Fox Chase Cancer Center • Katherine Soltys, MD – Acting Director, Bureau of Medical Sciences, Therapeutic Products Directorate, Health Products and Food Branch, Health Canada • Karen E. Arscott, DO, MSc – Associate Professor of Medicine-Patient Advocate and Survivor, Geisinger Commonwealth -
Principle of Pharmacodynamics
Principle of pharmacodynamics Dr. M. Emamghoreishi Full Professor Department of Pharmacology Medical School Shiraz University of Medical Sciences Email:[email protected] Reference: Basic & Clinical Pharmacology: Bertrum G. Katzung and Anthony J. Treveror, 13th edition, 2015, chapter 20, p. 336-351 Learning Objectives: At the end of sessions, students should be able to: 1. Define pharmacology and explain its importance for a clinician. 2. Define ―drug receptor‖. 3. Explain the nature of drug receptors. 4. Describe other sites of drug actions. 5. Explain the drug-receptor interaction. 6. Define the terms ―affinity‖, ―intrinsic activity‖ and ―Kd‖. 7. Explain the terms ―agonist‖ and ―antagonist‖ and their different types. 8. Explain chemical and physiological antagonists. 9. Explain the differences in drug responsiveness. 10. Explain tolerance, tachyphylaxis, and overshoot. 11. Define different dose-response curves. 12. Explain the information that can be obtained from a graded dose-response curve. 13. Describe the potency and efficacy of drugs. 14. Explain shift of dose-response curves in the presence of competitive and irreversible antagonists and its importance in clinical application of antagonists. 15. Explain the information that can be obtained from a quantal dose-response curve. 16. Define the terms ED50, TD50, LD50, therapeutic index and certain safety factor. What is Pharmacology?It is defined as the study of drugs (substances used to prevent, diagnose, and treat disease). Pharmacology is the science that deals with the interactions betweena drug and the bodyor living systems. The interactions between a drug and the body are conveniently divided into two classes. The actions of the drug on the body are termed pharmacodynamicprocesses.These properties determine the group in which the drug is classified, and they play the major role in deciding whether that group is appropriate therapy for a particular symptom or disease. -
Narrow Therapeutic Index Drugs: a Clinical Pharmacological Consideration to Flecainide Juan Tamargo, Jean-Yves Le Heuzey, Phillipe Mabo
Narrow therapeutic index drugs: a clinical pharmacological consideration to flecainide Juan Tamargo, Jean-Yves Le Heuzey, Phillipe Mabo To cite this version: Juan Tamargo, Jean-Yves Le Heuzey, Phillipe Mabo. Narrow therapeutic index drugs: a clinical pharmacological consideration to flecainide. European Journal of Clinical Pharmacology, Springer Verlag, 2015, 71 (5), pp.549-567. 10.1007/s00228-015-1832-0. hal-01143095 HAL Id: hal-01143095 https://hal-univ-rennes1.archives-ouvertes.fr/hal-01143095 Submitted on 16 Apr 2015 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. Eur J Clin Pharmacol (2015) 71:549–567 DOI 10.1007/s00228-015-1832-0 REVIEW ARTICLE Narrow therapeutic index drugs: a clinical pharmacological consideration to flecainide Juan Tamargo & Jean-Yves Le Heuzey & Phillipe Mabo Received: 5 December 2014 /Accepted: 4 March 2015 /Published online: 15 April 2015 # The Author(s) 2015. This article is published with open access at Springerlink.com Abstract specify flecainide as an NTID. The literature review demon- Purpose The therapeutic index (TI) is the range of doses at strated that flecainide displays NTID characteristics including which a medication is effective without unacceptable adverse a steep drug dose–response relationship for safety and effica- events. -
Prof. Hanan Hagar Quantitative Aspects of Drugs
Quantitative aspects of drugs Prof. hanan Hagar Ilos Determine quantitative aspects of drug receptor binding. Recognize concentration binding curves. Identify dose response curves and the therapeutic utility of these curves. Classify different types of antagonism QUANTIFY ASPECTS OF DRUG ACTION Bind Initiate Occupy Activate D + R D R DR* RESPONSE[R] Relate concentration [C] of D used (x- axis) Relate concentration [C] of D used (x- to the binding capacity at receptors (y-axis) axis) to response produced (y-axis) Concentration-Binding Curve Dose Response Curves AFFINITY EFFICACY POTENCY Concentration binding curves Is a correlation between drug concentration [C] used (x- axis) and drug binding capacity at receptors [B] (y-axis). i.e. relation between concentration & drug binding Concentration-Binding curves are used to determine: oBmax (the binding capacity) is the total density of receptors in the tissues. oKD50 is the concentration of drug required to occupy 50% of receptors at equilibrium. oThe affinity of drug for receptor The higher the affinity of D for receptor the lower is the KD i.e. inverse relation Concentration-Binding Curve (Bmax): Total density of receptors in the tissue K D KD (kD )= [C] of D required to occupy 50% of receptors at equilibrium Dose -response curves o Used to study how response varies with the concentration or dose. o Is a correlation between drug concentration [D] used (x- axis) and drug response [R] (y-axis). o i.e. relation between concentration & Response TYPES of Dose -response curves Graded dose-response curve Quantal dose-response curve (all or none). Graded Dose-response Curve o Response is gradual o Gradual increase in response by increasing the dose (continuous response). -
Pharmacogenetic Testing: a Tool for Personalized Drug Therapy Optimization
pharmaceutics Review Pharmacogenetic Testing: A Tool for Personalized Drug Therapy Optimization Kristina A. Malsagova 1,* , Tatyana V. Butkova 1 , Arthur T. Kopylov 1 , Alexander A. Izotov 1, Natalia V. Potoldykova 2, Dmitry V. Enikeev 2, Vagarshak Grigoryan 2, Alexander Tarasov 3, Alexander A. Stepanov 1 and Anna L. Kaysheva 1 1 Biobanking Group, Branch of Institute of Biomedical Chemistry “Scientific and Education Center”, 109028 Moscow, Russia; [email protected] (T.V.B.); [email protected] (A.T.K.); [email protected] (A.A.I.); [email protected] (A.A.S.); [email protected] (A.L.K.) 2 Institute of Urology and Reproductive Health, Sechenov University, 119992 Moscow, Russia; [email protected] (N.V.P.); [email protected] (D.V.E.); [email protected] (V.G.) 3 Institute of Linguistics and Intercultural Communication, Sechenov University, 119992 Moscow, Russia; [email protected] * Correspondence: [email protected]; Tel.: +7-499-764-9878 Received: 2 November 2020; Accepted: 17 December 2020; Published: 19 December 2020 Abstract: Pharmacogenomics is a study of how the genome background is associated with drug resistance and how therapy strategy can be modified for a certain person to achieve benefit. The pharmacogenomics (PGx) testing becomes of great opportunity for physicians to make the proper decision regarding each non-trivial patient that does not respond to therapy. Although pharmacogenomics has become of growing interest to the healthcare market during the past five to ten years the exact mechanisms linking the genetic polymorphisms and observable responses to drug therapy are not always clear. Therefore, the success of PGx testing depends on the physician’s ability to understand the obtained results in a standardized way for each particular patient. -
Pharmacodynamics Drug Receptor Interactions Part-2
Pharmacodynamics: (Drug Receptor Interactions, Part 2) ………………………………………………………………………………………………………………………………………………………………………………………………………………… VPT: Unit I; Lecture-22 (Dated 03.12.2020) Dr. Nirbhay Kumar Asstt. Professor & Head Deptt. of Veterinary Pharmacology & Toxicology Bihar Veterinary College, Bihar Animal Sciences University, Patna Drug Receptor Interactions Agonist It is a drug that possesses affinity for a particular receptor and causes a change in the receptor that result in an observable effect. Full agonist: Produces a maximal response by occupying all or a fraction of receptors. (Affinity=1, Efficacy=1) Partial agonist: Produces less than a maximal response even when the drug occupies all of the receptors. (Affinity=1, Efficacy= 0 to 1) Inverse agonist: Activates a receptor to produce an effect in the opposite direction to that of the well recognized agonist. (Affinity=1, Efficacy= –1 to 0). Source: Rang & Dale’s Pharmacology, Elsevier Source: Good & Gilman’s The Pharmacological Basis of Therapeutics, 13th Edn. Antagonist An antagonist is a drug that blocks the response produced by an agonist. Antagonists interact with the receptor or other components of the effector mechanism, but antagonists are devoid of intrinsic activity (Affinity=1, Efficacy=0). Antagonist contd… Competitive Antagonism: It is completely reversible; an increase in the concentration of the agonist in the bio-phase will overcome the effect of the antagonist. Example: Atropine (Antimuscarinic agent) Diphenhydramine (H1 receptor blocker) Non-competitive antagonism: The agonist has no influence upon the degree of antagonism or its reversibility. Example: Platelet inhibiting action of aspirin (The thromboxane synthase enzyme of platelets is irreversibly inhibited by aspirin, a process that is reversed only by production of new platelets). -
Narrow Therapeutic Index Drugs
Quality and Bioequivalence Standards for Narrow Therapeutic Index Drugs Lawrence X. Yu, Ph.D. Deputy Director for Science and Chemistry Office of Generic Drugs Center for Drug Evaluation and Research Food and Drug Administration GPhA 2011 Fall Technical Workshop 1 Bioequivalence • The absence of a significant difference in the rate and extent to which the active ingredient or active moiety in pharmaceutical equivalents or pharmaceutical alternatives becomes available at the site of drug action when administrated at the same molar dose under similar conditions in an appropriately designed study…” (21 CFR §320.1) 2 Plasma Concentration Profile Cmax 10000 AUC ln Concentration 1000 Concentration Time Tmax - time of maximum concentration 100 Time 3 0 5 10 15 20 25 Possible Outcome of BE Studies Demonstrate BE Fail to Demonstrate BIE Fail to Demonstrate BE Demonstrate BIE Demonstrate BIE 80% T/R (%) 125% 4 5 FDA 12 Year BE Data Distribution of AUCt Ratios Average difference = 3.56% 10 N = 2069 8 6 Percent of Total(%) of Percent 4 2 0 0.84 0.86 0.88 0.90 0.92 0.94 0.96 0.98 1.00 1.02 1.04 1.06 1.08 1.10 1.12 1.14 1.16 1.18 1.20 6 AUC Point Estimate (T/R) Effect of Variability on BE Studies High variability 80% T/R (%) 125% 7 Development of BE Standard for Highly Variable Drugs 4/2004 First presentation to the FDA Advisory Committee 10/2006 Second presentation to the FDA Advisory Committee 3/2007 Received the first ANDA which used the new FDA BE approach 5/2007 Critical Path Opportunities for Generic Drugs BE of HVD 1/2008 FDA OGD’s first publication on BE of HVD (Pharm. -
Bugs, Drugs, and Cancer: Can the Microbiome Be a Potential
REVIEWS Drug Discovery Today Volume 24, Number 4 April 2019 Reviews Bugs, drugs, and cancer: can the GENE TO SCREEN microbiome be a potential therapeutic target for cancer management? 1,z 2,z 1 1 Biying Chen , Guangye Du , Jiahui Guo and Yanjie Zhang 1 Department of Oncology, Shanghai 9th People’s Hospital, Shanghai Jiao Tong University School of Medicine, 280 Mohe Road, Shanghai, 201999, China 2 Department of Pathology, Shanghai 9th People’s Hospital, Shanghai Jiao Tong University School of Medicine, 280 Mohe Road, Shanghai, 201999, China Outnumbering our own cells over ten times, gut microbes can even be considered an additional organ. Several studies have explored the association between microbiomes and antitumor drug response. It has been reported that the presence of specific bacteria might modulate cancer progression and the efficacy of anticancer therapeutics. Bacteria-targeting intervention can provide crucial guidance for the design of next-generation antitumor drugs. Here, we review previous findings elucidating the impact of gut microbiomes on cancer treatment and the possible underlying mechanisms. In addition, we examine the role of microbiome manipulation in controlling tumor growth. Finally, we discuss concerns regarding the alteration of the microbiome composition, and the potential approaches to surpass existing limitations. Introduction cantly during life [5] (Fig. 1). Gut microbial density increases from The microbiota is defined as all microorganisms that are associated the proximal to the distal GI tract and along the tissue–lumen axis. with a specific host cellular environment [1]. These microorganisms Similarly, diversity further increases in the same pattern [6]. More- are identified using 16S ribosomal RNA (rRNA)sequencing. -
Measuring Ligand Efficacy at the Mu- Opioid Receptor Using A
RESEARCH ARTICLE Measuring ligand efficacy at the mu- opioid receptor using a conformational biosensor Kathryn E Livingston1,2, Jacob P Mahoney1,2, Aashish Manglik3, Roger K Sunahara4, John R Traynor1,2* 1Department of Pharmacology, University of Michigan Medical School, Ann Arbor, United States; 2Edward F Domino Research Center, University of Michigan, Ann Arbor, United States; 3Department of Pharmaceutical Chemistry, School of Pharmacy, University of California San Francisco, San Francisco, United States; 4Department of Pharmacology, University of California San Diego School of Medicine, La Jolla, United States Abstract The intrinsic efficacy of orthosteric ligands acting at G-protein-coupled receptors (GPCRs) reflects their ability to stabilize active receptor states (R*) and is a major determinant of their physiological effects. Here, we present a direct way to quantify the efficacy of ligands by measuring the binding of a R*-specific biosensor to purified receptor employing interferometry. As an example, we use the mu-opioid receptor (m-OR), a prototypic class A GPCR, and its active state sensor, nanobody-39 (Nb39). We demonstrate that ligands vary in their ability to recruit Nb39 to m- OR and describe methadone, loperamide, and PZM21 as ligands that support unique R* conformation(s) of m-OR. We further show that positive allosteric modulators of m-OR promote formation of R* in addition to enhancing promotion by orthosteric agonists. Finally, we demonstrate that the technique can be utilized with heterotrimeric G protein. The method is cell- free, signal transduction-independent and is generally applicable to GPCRs. DOI: https://doi.org/10.7554/eLife.32499.001 *For correspondence: [email protected] Competing interests: The authors declare that no Introduction competing interests exist. -
Live Biotherapeutic Products, a Road Map for Safety Assessment
Live Biotherapeutic Products, A Road Map for Safety Assessment Alice Rouanet, Selin Bolca, Audrey Bru, Ingmar Claes, Helene Cvejic, Haymen Girgis, Ashton Harper, Sidonie Lavergne, Sophie Mathys, Marco Pane, et al. To cite this version: Alice Rouanet, Selin Bolca, Audrey Bru, Ingmar Claes, Helene Cvejic, et al.. Live Biotherapeutic Products, A Road Map for Safety Assessment. Frontiers in Medicine, Frontiers media, 2020, 7, 10.3389/fmed.2020.00237. hal-02900344 HAL Id: hal-02900344 https://hal.inrae.fr/hal-02900344 Submitted on 8 Jun 2021 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. Distributed under a Creative Commons Attribution| 4.0 International License POLICY AND PRACTICE REVIEWS published: 19 June 2020 doi: 10.3389/fmed.2020.00237 Live Biotherapeutic Products, A Road Map for Safety Assessment Alice Rouanet 1, Selin Bolca 2†, Audrey Bru 3†, Ingmar Claes 4†, Helene Cvejic 5,6†, Haymen Girgis 7†, Ashton Harper 8†, Sidonie N. Lavergne 9†, Sophie Mathys 10†, Marco Pane 11†, Bruno Pot 12,13†, Colette Shortt 14†, Wynand Alkema 15, Constance Bezulowsky 16, Stephanie Blanquet-Diot 17, Christophe Chassard 18, Sandrine P. Claus 19, Benjamin Hadida 20, Charlotte Hemmingsen 21, Cyrille Jeune 7, Björn Lindman 22, Garikai Midzi 8, Luca Mogna 11, Charlotta Movitz 22, Nail Nasir 23, 24 25 25 26 Edited by: Manfred Oberreither , Jos F.