Principle of Pharmacodynamics
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
Pharmacokinetics, Biodistribution, and Pharmacodynamics of Drug Delivery Systems
JPET Fast Forward. Published on March 5, 2019 as DOI: 10.1124/jpet.119.257113 This article has not been copyedited and formatted. The final version may differ from this version. JPET # 257113 Title: Pharmacokinetic and Pharmacodynamic Properties of Drug Delivery Systems Authors: Patrick M. Glassman, Vladimir R. Muzykantov Affiliation: Department of Systems Pharmacology and Translational Therapeutics, Perelman School of Medicine, University of Pennsylvania Address: 3400 Civic Center Boulevard, Bldg 421, Philadelphia, Pennsylvania 19104-5158, United States Downloaded from jpet.aspetjournals.org at ASPET Journals on September 24, 2021 1 JPET Fast Forward. Published on March 5, 2019 as DOI: 10.1124/jpet.119.257113 This article has not been copyedited and formatted. The final version may differ from this version. JPET # 257113 Running Title: PK/PD Properties of Drug Delivery Systems Corresponding Authors: Vladimir R. Muzykantov ([email protected], (215) 898-9823) and Patrick M. Glassman ([email protected]) # of Text Pages: 22 # of Tables: 2 # of Figures: 4 Word Count – Abstract: 144 Word Count – Introduction: 350 Word Count – Discussion: N/A Downloaded from Non-Standard Abbreviations: Absorption, Distribution, Metabolism, and Elimination (ADME) Biodistribution (BD) Drug Delivery Systems (DDSs) Enhanced Permeability & Retention (EPR) jpet.aspetjournals.org Gastrointestinal (GI) Intravenously (IV) Neonatal Fc Receptor (FcRn) Monoclonal Antibody (mAb) Reticuloendothelial System (RES) at ASPET Journals on September 24, 2021 Pharmacodynamics (PD) Pharmacokinetics (PK) Physiologically-Based Pharmacokinetic (PBPK) Subcutaneously (SC) Target-Mediated Drug Disposition (TMDD) Recommended Section: Drug Discovery and Translational Medicine 2 JPET Fast Forward. Published on March 5, 2019 as DOI: 10.1124/jpet.119.257113 This article has not been copyedited and formatted. -
Pharmacodynamics - I
Pharmacodynamics - I Dr. Jyoti M. Benni Dept. of Pharmacology USM-KLE, IMP Belgaum Learning outcomes • Describe the principles of pharmacodynamics with regard to the potential targets of -drug action -receptor types -dose-response relationship (curve) -therapeutic index 2 Introduction: PK & PD 3 Pharmacodynamics Pharmacodynamics is the study of actions of the drug on the body and their mechanism of action. Stimulation Depression Irritation Replacement Modify immune status Anti-infective / Cytotoxic action 4 Mechanisms of Drug Action Non-receptor mediated Receptor mediated • Physical • Receptors on the cell • Chemical membrane • Enzymes • Ion channels • Transporters • Receptors inside the cell • Antibody • Placebo 5 Non – receptor mediated mechanisms… Physical property . Physical property of the drug is responsible E.g. Adsorption: activated charcoal in treatment of poisoning Osmotic activity: magnesium sulfate for constipation Radioactivity: radioactive iodine (I131 ) for hyperthyroidism Radioopacity: barium sulfate as contrast media 6 Non – receptor mediated mechanisms… Chemical action Antacids - neutralize gastric acid Chelating agents (EDTA) Used in heavy metal (LEAD)poisoning treatment Oxidizing agents potassium permanganate as germicidal agent 7 Non – receptor mediated mechanisms… Enzymes as targets of drug action Enzymes Inhibition Stimulation Enzyme Nonspecific Specific induction Competitive Noncompetitive 8 Non – receptor mediated mechanisms… Enzyme stimulation: • Reactivation e.g. Injection pralidoxime → for treatment of Organophosphorus -
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, -
Activity Intrinsic
Vol. (Suppl. ) Intrinsic 201 Activity www.IntrinsicActivity.org Published by th ISSN 2309-8503 Austrian Pharmacological Society Dopamine 2016 Vienna, 5–8 September 2016 MAEETING BSTRACTS Intrinsic Activity is an online, open-access publication medium published by the Austrian Pharmacological Society (APHAR). The Journal welcomes contributions in the fields of Pharmacology, Pharmacotherapy and other fields in biomedicine. Contributions may be of type meeting abstracts, research articles, position papers, commentaries or similar. For submission instructions and all other information regarding publication in the journal visit: www.IntrinsicActivity.org Correspondence Intrinsic Activity c/o Institute for Experimental and Clinical Pharmacology Medical University of Graz Universitätsplatz 4 8010 Graz, Austria Tel.: +43 (316) 380-4305 Fax: +43 (316) 380-9645 E-mail: [email protected] Website: www.IntrinsicActivity.org ISSN: 2309-8503 Austrian Pharmacological Society c/o Institute of Pharmacology Centre for Physiology and Pharmacology Medical University of Vienna Währinger Straße 13a 1090 Wien, Austria E-mail: [email protected] Copyright, open access and permission to use Articles are published under a Creative Commons license (Creative Commons, attribution, non-commercial), that allows reuse subject only to the use being non-commercial and the article being fully attributed. The Publisher and Austrian Pharmacological Society retain the license that allows publishing of the articles in Intrinsic Activity, any derivative product or any other Intrinsic Activity product (present or future) and allows sub-licensing such rights and exploit all subsidiary rights. Authors retain the license to use their articles for their own non-commercial purposes, specifically: Posting a pdf of their own article on their own personal or institutional website for which no charge for access is made. -
Opioid Receptorsreceptors
OPIOIDOPIOID RECEPTORSRECEPTORS defined or “classical” types of opioid receptor µ,dk and . Alistair Corbett, Sandy McKnight and Graeme Genes encoding for these receptors have been cloned.5, Henderson 6,7,8 More recently, cDNA encoding an “orphan” receptor Dr Alistair Corbett is Lecturer in the School of was identified which has a high degree of homology to Biological and Biomedical Sciences, Glasgow the “classical” opioid receptors; on structural grounds Caledonian University, Cowcaddens Road, this receptor is an opioid receptor and has been named Glasgow G4 0BA, UK. ORL (opioid receptor-like).9 As would be predicted from 1 Dr Sandy McKnight is Associate Director, Parke- their known abilities to couple through pertussis toxin- Davis Neuroscience Research Centre, sensitive G-proteins, all of the cloned opioid receptors Cambridge University Forvie Site, Robinson possess the same general structure of an extracellular Way, Cambridge CB2 2QB, UK. N-terminal region, seven transmembrane domains and Professor Graeme Henderson is Professor of intracellular C-terminal tail structure. There is Pharmacology and Head of Department, pharmacological evidence for subtypes of each Department of Pharmacology, School of Medical receptor and other types of novel, less well- Sciences, University of Bristol, University Walk, characterised opioid receptors,eliz , , , , have also been Bristol BS8 1TD, UK. postulated. Thes -receptor, however, is no longer regarded as an opioid receptor. Introduction Receptor Subtypes Preparations of the opium poppy papaver somniferum m-Receptor subtypes have been used for many hundreds of years to relieve The MOR-1 gene, encoding for one form of them - pain. In 1803, Sertürner isolated a crystalline sample of receptor, shows approximately 50-70% homology to the main constituent alkaloid, morphine, which was later shown to be almost entirely responsible for the the genes encoding for thedk -(DOR-1), -(KOR-1) and orphan (ORL ) receptors. -
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). -
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). -
Making Sense of Pharmacology: Inverse Agonism and Functional Selectivity Kelly A
International Journal of Neuropsychopharmacology (2018) 21(10): 962–977 doi:10.1093/ijnp/pyy071 Advance Access Publication: August 6, 2018 Review review Making Sense of Pharmacology: Inverse Agonism and Functional Selectivity Kelly A. Berg and William P. Clarke Department of Pharmacology, University of Texas Health, San Antonio, Texas. Correspondence: William P. Clarke, PhD, Department of Pharmacology, Mail Stop 7764, UT Health at San Antonio, 7703 Floyd Curl Drive, San Antonio, TX 78229 ([email protected]). Abstract Constitutive receptor activity/inverse agonism and functional selectivity/biased agonism are 2 concepts in contemporary pharmacology that have major implications for the use of drugs in medicine and research as well as for the processes of new drug development. Traditional receptor theory postulated that receptors in a population are quiescent unless activated by a ligand. Within this framework ligands could act as agonists with various degrees of intrinsic efficacy, or as antagonists with zero intrinsic efficacy. We now know that receptors can be active without an activating ligand and thus display “constitutive” activity. As a result, a new class of ligand was discovered that can reduce the constitutive activity of a receptor. These ligands produce the opposite effect of an agonist and are called inverse agonists. The second topic discussed is functional selectivity, also commonly referred to as biased agonism. Traditional receptor theory also posited that intrinsic efficacy is a single drug property independent of the system in which the drug acts. However, we now know that a drug, acting at a single receptor subtype, can have multiple intrinsic efficacies that differ depending on which of the multiple responses coupled to a receptor is measured. -
Biopharmacy Practice
University of Szeged Biopharmacy practice Editor: Árpád Márki, Ph.D. Authors: Árpád Márki, Ph.D. Adrienn Seres, Ph.D. Anita Sztojkov-Ivanov, Ph.D. Reviewed by: Szilárd Pál, Ph.D. Szeged, 2015. This work is supported by the European Union, co-financed by the European Social Fund, within the framework of "Coordinated, practice-oriented, student-friendly modernization of biomedical education in three Hungarian universities (Pécs, Debrecen, Szeged), with focus on the strengthening of international competitiveness" TÁMOP-4.1.1.C-13/1/KONV-2014-0001 project. The curriculum cannot be sold in any form! Contents Contents ...................................................................................................................................... 2 1. Definitions, routes of drug administration ............................................................................. 6 1.1. Definitions ....................................................................................................................... 6 1.2. Routes of drug administration ......................................................................................... 7 1.3. Questions ....................................................................................................................... 10 2. Receptors .............................................................................................................................. 11 2.1. Definitions .................................................................................................................... -
In Silico Pharmacodynamics, Toxicity Profile and Biological Activities of the Saharan Medicinal Plant Limoniastrum Feei
Brazilian Journal of Pharmaceutical Sciences Article http://dx.doi.org/10.1590/s2175-97902017000300061 In silico pharmacodynamics, toxicity profile and biological activities of the Saharan medicinal plant Limoniastrum feei Ouahab Ammar* Department of Pharmacy, Faculty of Medical Sciences, University of Batna 2, Algeria In-silico study was performed to find the pharmacodynamics, toxicity profiles and biological activities of three phytochemicals isolated from Limoniastrum feei (Plumbagenaceae). Online pharmacokinetic tools were used to estimate the potential of Quercetin, kaempferol-3-O-β-D-glucopyranoside (astragalin) and quercitin-7-O-β-D-glucopyranoside as specific drugs. Then the prediction of potential targets of these compounds were investigated using PharmMapper. Auto-Dock 4.0 software was used to investigate the different interactions of these compounds with the targets predicted earlier. The permeability of quercetin s rule of five. Hematopoietic prostaglandin (PG) D׳ was found within the range stated by Lipinski synthase (HPGDS), farnesyl diphosphate synthetase (FPPS) and the deoxycytidine kinase (DCK) were potential targets for quercetin, astragalin and quercetin 7, respectively. Quercetin showed antiallergic and anti-inflammatory activity, while astragalin and quercetin 7 were predicted to have anticancer activities. The activity of Astragalin appeared to be mediated by FPPS inhibition. The inhibition of DCK was predicted as the anticancer mechanisms of quercetin 7. The compounds showed interesting interactions and satisfactory binding energies when docked into their targets. These compounds are proposed to have activities against a variety of human aliments such as allergy, tumors, muscular dystrophy, and diabetic cataracts. Keywords: Limoniastrum feei/pharmacokinetics. Limoniastrum feei/biological activity. Quercetin. Astragalin. Quercetin 7. Medicinal plants. Molecular docking. -
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. -
Factors Affecting Drug Response2
Types of drug concentration– response relationship A. Graded drug concentration-Response Relationships As the dose of a drug is increased, the response (effect) of the tissue or organ is also increased. The efficacy (Emax) and potency (ED50) parameters are derived from these data. 112 GRADED DOSE- RESPONSE CURVE QUANTAL DOSE- RESPONSE CURVE 113 B. Quantal or all or none dose response relation ship. The Plot of the fraction of the population that responds at each dose of the drug versus the log of the dose administered. responses follow all or none phenomenon – that means the individual of the responding system either respond to their maximum limit or not at all to a dose of drug and there is no gradation of response. population studies. relates dose to frequency of effect . The median effective (ED50), median toxic (TD50) ,and median lethal doses (LD50) are extracted from experiments carried out in this manner. 114 Median effective dose (ED50):the dose at which 50% of individuals exhibit the specified quantal effect. Median toxic dose (TD50) :the dose required to produce a particular toxic effect in 50% of animals. Median lethal dose (LD50): is the lethal dose that causes death in 50% animal under experiment. 115 119 1. Excretion - Alteration of urine PH. e.g. Phanobarbitone + NaHCo3 - Alteration of active tubular secretion e.g. Probenecid + peincillin. II – Pharmcodynamic interaction - It occurs by modification of pharmacological response of one drug by another without altering the concentration of the drug in the tissue or tissue fluid. 1. Additive – Occurs when the combined effect of two drugs is equal to the sum of the effects of each agent given alone.