A Primer on Pharmacology

Total Page:16

File Type:pdf, Size:1020Kb

A Primer on Pharmacology A primer on pharmacology Universidade do Algarve Faro 2017 by Ferdi Engels, Ph.D. 1 2 1 3 Utrecht university campus ‘de Uithof’ Dept. of Pharmaceutical Sciences Division of Pharmacology 4 2 Bachelor and master education Ferdi Engels, PhD ‐ Associate professor of pharmacology ‐ Director of Undergraduate School of Science PhD training Research expertise 5 for today 1. Understand the main concepts of pharmacokinetics Main concept 2. Be able to apply this new knowledge 6 3 Pharmacology is about drugs………. Drugs = chemicals that alter physiological processes in the body for treatment, prevention, or cure of diseases input output (administration of the drug) (biological response) ‐ dose ‐ no effect ‐ frequency of administration ‐ beneficial effects ‐ route of administration ‐ adverse / toxic effects onset, intensity, and duration of therapeutic effects 7 Pharmacology is about drugs………. Drugs = chemicals that alter physiological processes in the body for treatment, prevention, or cure of diseases What does the body do to the drug? pharmacokinetics What does the drug do to the body? pharmacodynamics 8 4 Thursday, June 15 Lecture on topic 1 Workshop on topic 1 Friday, June 16 Lecture on topic 2 Workshop on topic 2 Course Topic 1 Course Topic 2 9 Rosenbaum ‐ Basic pharmacokinetics and pharmacodynamics: an integrated textbook and computer simulations, 1st ed. (2011) input output (administration of the drug) (biological response) ‐ dose ‐ no effect ‐ frequency of administration ‐ beneficial effects ‐ route of administration ‐ adverse / toxic effects onset, intensity, and duration of therapeutic effects Examples of common daily doses and dosing intervals 10 Rosenbaum ‐ Basic pharmacokinetics and pharmacodynamics: an integrated textbook and computer simulations, 1st ed. (2011) 5 Pharmacokinetics derives from Greek words: pharmackon = drug kinetikos = moving Study of drug movement into, around, and out of the body or ADME = absorption, distribution, metabolism, and elimination Time course of drug concentrations in body compartments 11 Lippincott’s illustrated reviews: Pharmacology 5th ed (2012) Assumption: plasma concentration reflects drug concentration at site of action 12 Rosenbaum ‐ Basic pharmacokinetics and pharmacodynamics: an integrated textbook and computer simulations, 1st ed. (2011) 6 Why study pharmacokinetics? ‐ Natural variation in population yields average ADME characteristics ‐ ADME characteristics may be influenced by age, sex, disease, drug use, etc. ‐ Therapeutic range of drugs may vary Guys With Large Dongles Totally Make Perfect Internet Connections Gentamycin Methotrexate antibiotic oncolytic, DMARD Warfarin Phenytoin anticoagulant antiseizure Lithium Insulin bipolar disorder antidiabetic Digoxin Ciclosporin atrial fibrillation immunosuppressant Theophylline COPD, asthma 13 Why study pharmacokinetics? ‐ Natural variation in population yields average ADME characteristics ‐ ADME characteristics may be influenced by age, sex, disease, drug use, etc. ‐ Therapeutic range of drugs may vary unsafe MEC = minimum effective concentration MTC = maximum tolerated concentration Therapeutic range – between MEC and MTC uneffective 14 Rosenbaum ‐ Basic pharmacokinetics and pharmacodynamics: an integrated textbook and computer simulations, 1st ed. (2011) 7 Routes of drug administration 15 Meyer & Quenzer – Psychopharmacology: Drugs, the Brain and Behavior (2005) Oral vs. intravenous administration elimination phase absorption phase 16 8 ADME ‐ Drug absorption Drug absorption requires movement across membranes (except after intravenous application) most usual a= transcellular pathway b = paracellular pathway c = transcytosis and receptor‐ mediated endocytosis d = absorption into the lymphatic circulation via M‐cells of Peyer's patches antigen‐presenting cells 17 Goldberg & Gomez‐Orellana ‐ Nature Reviews Drug Discovery 2, 289‐295 (April 2003) ADME ‐ Drug absorption Rate of transmembrane diffusion determined by: ‐ concentration gradient ‐ permeability of barrier (membrane) Lipid diffusion therefore Lipophilic and uncharged drug molecules are absorbed fastest !! logP pKa 18 9 ADME ‐ Drug absorption Lipophilic drugs are absorbed faster []drug Partition coefficient P octan ol []drug water separatory funnel Log P instead of P (smaller range of values) 100 logPP 2 102 lipophilic 1 1 logPP 2 102 hydrophilic 100 19 ADME ‐ Drug absorption Uncharged drugs are absorbed faster Drug ionisation is dependent on pH and pKa The effect of pH on drug ionisation Acid dissociation constant pKa • quantitative measure of the strength of an acid in solution []HA [][] A H Ka []A pH pKa log Henderson‐Hasselbalch equation []HA • at pH = pKa, half of the acid is protonated 20 Waller et al ‐ Medical Pharmacology and Therapeutics (2005) 10 ADME ‐ Drug absorption example Stomach: pH ≈ 2 Intestines: pH ≈ 6‐7 exampleQ: Where is aspirin absorbed best? Q: Explain alkaline diuresis used with aspirin poisoning. Aspirin (a.k.a. acetylsalicylic acid) –pKa= 3.5 by IV sodium bicarbonate A: Uncharged in stomach, charged in intestines BUT buzzing moment What about its dissolution in acid environment? What about surface area for uptake? Le Chatelier’s principle []HAAH [][] When a change is imposed on a system Ka at equilibrium, the equilibrium will shift to counteract the change. 21 ADME ‐ Drug absorption kabs = Absorption rate constant http://www.boomer.org/c/p4/c03/c0318.html 22 11 ADME ‐ Drug absorption First‐pass effect: 1 g vs. 2 g dose Barr –Drug Inform. Bull. 3: 27‐45 (1969) Incomplete drug absorption through: . Incomplete release from the dosage form . Degradation in the GI lumen . Poor permeation across GI epithelial barrier . Active efflux into GI lumen . Biliary excretion . Metabolism 23 http://tmedweb.tulane.edu/pharmwiki/doku.php/bioavailability_the_first_pass_effect ADME ‐ Drug absorption AUC F (tablet )*100 AUCiv Extent to which a drug reaches F = Bioavailability the systemic circulation Example: Diclofenac Fiv = ?100% Ftabl = 50% 24 http://tmedweb.tulane.edu/pharmwiki/doku.php/bioavailability_the_first_pass_effect 12 ADME ‐ Drug distribution Blood • about 5.5 liter (8% of body weight) • composed of blood cells and plasma Plasma • about 55% of blood volume • about 90% water • further contains proteins, glucose, minerals, amino acids, hormones, CO2, waste albumin Serum • plasma without fibrinogen and other clotting factors 25 ADME ‐ Drug distribution Drugs may bind to plasma proteins according to the law of mass action: k1 [][]DP [ DP ] k1 free drug+= bound drug plasma concentration Cp clinically important easy (and cheap) to measure 26 13 ADME ‐ Drug distribution Central compartment Peripheral compartment 27 Raffa et al – Netter’s illustrated pharmacology (2005) ADME ‐ Drug distribution Plasma concentration after: 70 kg male 500 mg paracetamol plasma 3.5 L 143 mg/L extracellular fluid 14 L 36 mg/L body water 42 L 12 mg/L https://www.easycalculation.com/medical/plasma‐volume‐calculator.php 28 14 ADME ‐ Drug distribution Distribution of drug between plasma V = Volume of distribution d and tissues total amount of the drug inthebody() mg D Vd drug blood plasma concentration(/) mg L C0 29 logP = 4.63 www.drugbank.ca ADME ‐ Drug distribution 42,658 fold preference for octanol 115 L/kg = 8000 L for a 70 kg male Apparent volume of distribution Plasma volume 0.05 L/kg Extracellular fluid volume 0.2 L/kg Total body water 0.6 L/kg 30 from: Brown & Tomlin, Pharmacokinetic principles. In: Tomlin, Pharmacology & Pharmacokinetics (2010) 15 https://youtu.be/0IWMlf7b1M4 31 ADME ‐ Drug metabolism • Mainly in the liver • To make drugs more hydrophilic (for better elimination by kidney) • To inactivate drugs 32 Brown & Tomlin, Pharmacokinetic principles. In: Tomlin, Pharmacology & Pharmacokinetics (2010) 16 ADME ‐ Drug metabolism fast vs. poor metabolizers “DNA passport for everyone” “Asians, start low dose East Africans, increase dose quickly” 33 Brown & Tomlin, Pharmacokinetic principles. In: Tomlin, Pharmacology & Pharmacokinetics (2010) ADME ‐ Drug metabolism http://genomemag.com/whats‐your‐metabolizer‐rate 17 ADME ‐ Drug elimination Drug excretion can occur through: • exhalation • bile ‐‐> faeces • sweat, saliva • kidney 35 ADME ‐ Drug elimination Looking at it from 2 angles…. Cl = Clearance Volume of plasma completely cleared of drug in a unit of time kel = Elimination rate constant http://tmedweb.tulane.edu/pharmwiki/doku.php/pharmacokinetics Fraction of drug eliminated per unit time (hour‐1) Cl kel V d 36 18 ADME –The whole stuff Q: how to calculate plasma drug concentration at any given time? ktel CCet 0 lnCCkttel ln 0 y = b + ax intravenous administration i.e. first order elimination kinetics & 1‐compartment model distribution is fast cf. with absorption and elimination 37 ADME –The whole stuff Drug rapidly equilibrates with tissue compartment Drug equilibrates with tissue compartment much slower 38 19 ADME –The whole stuff Time taken for a drug concentration t = Elimination half‐life ½ to be reduced by a half ktel CCet 0 ktel 1 2 0.5CCe00 0.693 t 1 2 kel 39 ADME –The whole stuff intravenous administration oral administration 40 20 ADME – Multiple dose drug administration Loading dose 41 Adams et al – Pharmacology for nurses. A pathophysiological approach, 2nd ed (2008) Summary –5 pharmacokinetic parameters kabs FVd Cl t½ Absorption Distribution Metabolism Elimination 42 21 Further reading (there are so many good pharmacology books……) • Hitner, Nagel – Pharmacology. An introduction. 6th ed (2011) • Adams, Holland, Bostwick – Pharmacology for nurses. A pathophysiological approach, 3rd ed (2010) • Goodman And Gilman‘s The pharmacological basis of therapeutics, 12th ed (2010) 43 Further reading • Rang and Dale’s Pharmacology. 7th ed (2011) • Pea – Pharmacokinetics in everyday clinical practice. 1st ed (2012) • www.rxkinetics.com/pktutorial/1_1.html • http://pharmacologycorner.com/ • http://handwrittentutorials.com/ • Lecture handouts: www.staff.science.uu.nl/~engel110/Faro2017 44 22.
Recommended publications
  • Prediction of Clinical Transporter‐Mediated Drug–Drug Interactions
    Citation: CPT Pharmacometrics Syst. Pharmacol. (2020) 9, 211–221; doi:10.1002/psp4.12505 ARTICLE Prediction of Clinical Transporter-Mediated Drug–Drug Interactions via Comeasurement of Pitavastatin and Eltrombopag in Human Hepatocyte Models Simon J. Carter1, Bhavik Chouhan2, Pradeep Sharma3 and Michael J. Chappell1,* A structurally identifiable micro-rate constant mechanistic model was used to describe the interaction between pitavastatin and eltrombopag, with improved goodness-of-fit values through comeasurement of pitavastatin and eltrombopag. Transporter association and dissociation rate constants and passive rates out of the cell were similar between pitavastatin and eltrom- bopag. Translocation into the cell through transporter-mediated uptake was six times greater for pitavastatin, leading to pronounced inhibition of pitavastatin uptake by eltrombopag. The passive rate into the cell was 91 times smaller for pitavas- tatin compared with eltrombopag. A semimechanistic physiologically-based pharmacokinetic (PBPK) model was developed to evaluate the potential for clinical drug–drug interactions (DDIs). The PBPK model predicted a twofold increase in the pita- vastatin peak blood concentration and area under the concentration-time curve in the presence of eltrombopag in simulated healthy volunteers. The use of structural identifiability supporting experimental design combined with robust micro-rate con- stant parameter estimates and a semimechanistic PBPK model gave more informed predictions of transporter-mediated DDIs. Study Highlights WHAT IS THE CURRENT KNOWLEDGE ON THE TOPIC? model fits through micro-rate constants compared with ✔ Currently, most in vitro models are not guided by macro-rate constants in human hepatocytes, with addi- structural identifiability analysis, relying on substrate-only tional information provided regarding transporter binding.
    [Show full text]
  • 624.Full.Pdf
    1521-009X/44/5/624–633$25.00 http://dx.doi.org/10.1124/dmd.115.068932 DRUG METABOLISM AND DISPOSITION Drug Metab Dispos 44:624–633, May 2016 Copyright ª 2016 by The American Society for Pharmacology and Experimental Therapeutics Development of a Rat Plasma and Brain Extracellular Fluid Pharmacokinetic Model for Bupropion and Hydroxybupropion Based on Microdialysis Sampling, and Application to Predict Human Brain Concentrations Thomas I.F.H. Cremers, Gunnar Flik, Joost H.A. Folgering, Hans Rollema, and Robert E. Stratford, Jr. Brains On-Line BV, Groningen, The Netherlands (T.I.F.H.C., G.F. J.H.A.F.); Rollema Biomedical Consulting, Mystic, Connecticut (H.R.); and Division of Pharmaceutical Sciences, Mylan School of Pharmacy, Duquesne University, Pittsburgh, Pennsylvania (R.E.S.) Received December 11, 2015; accepted February 24, 2016 Downloaded from ABSTRACT Administration of bupropion [(6)-2-(tert-butylamino)-1-(3-chlorophenyl) concentration ratio at early time points was observed with propan-1-one] and its preformed active metabolite, hydroxybupropion bupropion; this was modeled as a time-dependent uptake clear- [(6)-1-(3-chlorophenyl)-2-[(1-hydroxy-2-methyl-2-propanyl)amino]- ance of the drug across the blood–brain barrier. Translation of the 1-propanone], to rats with measurement of unbound concentrations model was used to predict bupropion and hydroxybupropion dmd.aspetjournals.org by quantitative microdialysis sampling of plasma and brain extra- exposure in human brain extracellular fluid after twice-daily cellular fluid was used to develop a compartmental pharmacoki- administration of 150 mg bupropion. Predicted concentrations netics model to describe the blood–brain barrier transport of both indicate that preferential inhibition of the dopamine and norepi- substances.
    [Show full text]
  • Mechanism-Based Inactivation of Human Cytochrome P450 Enzymes and the Prediction of Drug-Drug Interactions□S
    Supplemental material to this article can be found at: http://dmd.aspetjournals.org/content/suppl/2006/11/08/dmd.106.012633.DC1.html 0090-9556/07/3502-246–255$20.00 DRUG METABOLISM AND DISPOSITION Vol. 35, No. 2 Copyright © 2007 by The American Society for Pharmacology and Experimental Therapeutics 12633/3169778 DMD 35:246–255, 2007 Printed in U.S.A. Mechanism-Based Inactivation of Human Cytochrome P450 Enzymes and the Prediction of Drug-Drug Interactions□S R. Scott Obach, Robert L. Walsky, and Karthik Venkatakrishnan Pharmacokinetics, Dynamics, and Drug Metabolism (R.S.O., R.L.W.) and Clinical Pharmacology (K.V.), Pfizer, Inc., Groton, Connecticut Received August 30, 2006; accepted November 2, 2006 ABSTRACT: The ability to use vitro inactivation kinetic parameters in scaling to proaches to identifying mechanism-based inactivators were devel- in vivo drug-drug interactions (DDIs) for mechanism-based inacti- oped. Testing potential inactivators at a single concentration (IC25) vators of human cytochrome P450 (P450) enzymes was examined in a 30-min preincubation with human liver microsomes in the Downloaded from using eight human P450-selective marker activities in pooled hu- absence and presence of NADPH followed by assessment of P450 man liver microsomes. These data were combined with other pa- marker activities readily identified those compounds known to be rameters (systemic Cmax, estimated hepatic inlet Cmax, fraction mechanism-based inactivators and represents an approach that unbound, in vivo P450 enzyme degradation rate constants
    [Show full text]
  • 1. Disposition and Pharmacokinetics
    1. DISPOSITION AND PHARMACOKINETICS The disposition and pharmacokinetics of 2,3,7,8-tetrachlorodibenzo-p-dioxin (TCDD) and related compounds have been investigated in several species and under various exposure conditions. Several reviews on this subject focus on TCDD and related halogenated aromatic hydrocarbons (Neal et al., 1982; Gasiewicz et al., 1983a; Olson et al., 1983; Birnbaum, 1985; van den Berg et al., 1994). The relative biological and toxicological potency of TCDD and related compounds depends not only on the affinity of these compounds for the aryl hydrocarbon receptor (AhR), but on the species-, strain-, and congener-specific pharmacokinetics of these compounds (Neal et al., 1982; Gasiewicz et al., 1983a; Olson et al., 1983; Birnbaum, 1985; van den Berg et al., 1994, DeVito and Birnbaum, 1995). 2,3,7,8-TCDD and other similar compounds discussed here are rapidly absorbed into the body and slowly eliminated, making body burden (bioaccumulation) a reliable indicator of time- integrated exposure and absorbed dose. Because of the slow elimination kinetics, it will be shown in this section that lipid or blood concentrations, which are often measured, are in dynamic equilibrium with other tissue compartments in the body, making the overall body burden and tissue disposition relatively easy to estimate. Finally, it will be shown that body burdens can be correlated with adverse health effects (Hardell et al., 1995; Leonards et al., 1995), further leading to the choice of body burden as the optimal indicator of absorbed dose and potential effects. 1.1. ABSORPTION/BIOAVAILABILITY FOLLOWING EXPOSURE Gastrointestinal, dermal, and transpulmonary absorptions represent potential routes for human exposure to this class of persistent environmental contaminants.
    [Show full text]
  • The Impact of Assay Acceptance Criteria on Derived Data – Pharmacokinetic Assessment Through Simulation
    The Impact of Assay Acceptance Criteria on Derived Data – Pharmacokinetic Assessment Through Simulation Oriol Peris – Charles River Laboratories EBF 2021 EVERY STEP OF THE WAY EVERY STEP OF THE WAY CONFIDENTIAL Objective • Samples analysed using chromatographic assays have an acceptance criteria for QCs of ±15%. In contrast, ligand binding assays have an acceptance criteria for QCs of ±20% • This could potentially lead to a greater variability introduced in samples analysed using ligand binding assays, compared to chromatographic assays. • The aim of this presentation is to assess, from a PK perspective, the impact that the variability associated to each of these methodologies may have in the assessment of the data. To do this: • Plausible data with and without variability needs to be generated • The generated data needs to be assessed using an objective method Methodology: Data generation • Concentration vs time profiles were simulated using open source R software and its library mrgsolve, under different scenarios • Low between subject variability (BSV) and 15% acceptance criterion for QCs • High BSV and 15% acceptance criterion for QCs • Low BSV and 20% acceptance criterion for QCs • High BSV and 20% acceptance criterion for QCs • To do this, it was assumed that all chromatographic and ligand binding assays may introduce up to ± 15 or ± 20% deviation from nominal concentrations • The data was simulated using a population 1 compartment extravascular PK model with parameters CL, Vd and Ka #$%$& • 1 compartment extravascular model � = ' �*&+$- − �*&'$- () &'*&+ Methodology: Data generation • PK compartmental models: • Set of exponential equations that are useful to model a concentration vs time profile • Define the body as divided in separate compartments where a compartment can be the body, blood circulatory system or a set of tissues or organs sharing similar affinity to a drug • PK compartmental models are useful as they are mathematically plausible and their parameters (i.e.
    [Show full text]
  • Pharmacology Part 2: Introduction to Pharmacokinetics
    J of Nuclear Medicine Technology, first published online May 3, 2018 as doi:10.2967/jnmt.117.199638 PHARMACOLOGY PART 2: INTRODUCTION TO PHARMACOKINETICS. Geoffrey M Currie Faculty of Science, Charles Sturt University, Wagga Wagga, Australia. Regis University, Boston, USA. Correspondence: Geoff Currie Faculty of Science Locked Bag 588 Charles Sturt University Wagga Wagga 2678 Australia Telephone: 02 69332822 Facsimile: 02 69332588 Email: [email protected] Foot line: Introduction to Pharmacokinetics 1 Abstract Pharmacology principles provide key understanding that underpins the clinical and research roles of nuclear medicine practitioners. This article is the second in a series of articles that aims to enhance the understanding of pharmacological principles relevant to nuclear medicine. This article will build on the introductory concepts, terminology and principles of pharmacodynamics explored in the first article in the series. Specifically, this article will focus on the basic principles associated with pharmacokinetics. Article 3 will outline pharmacology relevant to pharmaceutical interventions and adjunctive medications employed in general nuclear medicine, the fourth pharmacology relevant to pharmaceutical interventions and adjunctive medications employed in nuclear cardiology, the fifth the pharmacology related to contrast media associated with computed tomography (CT) and magnetic resonance imaging (MRI), and the final article will address drugs in the emergency trolley. 2 Introduction As previously outlined (1), pharmacology is the scientific study of the action and effects of drugs on living systems and the interaction of drugs with living systems (1-7). For general purposes, pharmacology is divided into pharmacodynamics and pharmacokinetics (Figure 1). The principle of pharmacokinetics is captured by philosophy of Paracelsus (medieval alchemist); “only the dose makes a thing not a poison” (1,8,9).
    [Show full text]
  • Pharmacokinetic Models to Characterize the Absorption Phase and the Influence of a Proton Pump Inhibitor on the Overall Exposure of Dacomitinib
    pharmaceutics Article Pharmacokinetic Models to Characterize the Absorption Phase and the Influence of a Proton Pump Inhibitor on the Overall Exposure of Dacomitinib Ana Ruiz-Garcia 1, Weiwei Tan 2, Jerry Li 2, May Haughey 2, Joanna Masters 2, Jennifer Hibma 2 and Swan Lin 2,* 1 Metrum Research Group, San Diego, CA 92121, USA; [email protected] 2 Department of Pharmacometrics, Pfizer Inc, San Diego, CA 92121, USA; weiwei.tan@pfizer.com (W.T.); jerry.li@pfizer.com (J.L.); may.haughey@pfizer.com (M.H.); joanna.c.masters@pfizer.com (J.M.); jennifer.e.hibma@pfizer.com (J.H.) * Correspondence: swan.lin@pfizer.com; Tel.: +1-(858)-622-7377 Received: 17 March 2020; Accepted: 3 April 2020; Published: 7 April 2020 Abstract: Introduction: Dacomitinib is an epidermal growth factor receptor (EGFR) inhibitor approved for the treatment of metastatic non-small cell lung cancer (NSCLC) in the first line in patients with EGFR activating mutations. Dacomitinib is taken orally once daily at 45 mg with or without food, until disease progression or unacceptable toxicity occurs. Oncology patients often can develop gastroesophageal reflux disease (GERD), which may require management with an acid-reducing agent. Proton pump inhibitors (PPIs), such as rabeprazole, inhibit sodium-potassium adenosine triphosphatase (H+/K+-ATPase) pumps that stimulate acid secretion in the stomach and have a prolonged pharmacodynamic effect that extends beyond 24 h post-administration. The aim of this work was to characterize the absorption of dacomitinib via modeling with a particular interest in quantifying the impact of rabeprazole on the pharmacokinetics (PK) of dacomitinib.
    [Show full text]
  • Clinical Pharmacokinetics, 6Th Edition
    JOHN E. MURPHY, PharmD, FASHP, FCCP Professor of Pharmacy Practice and Science and Associate Dean, College of Pharmacy Professor of Clinical, Family and Community Medicine College of Medicine The University of Arizona Tucson, Arizona Honorary Professor The University of Otago School of Pharmacy Dunedin, New Zealand Any correspondence regarding this publication should be sent to the publisher, American Society of Health-System Pharmacists, 4500 East-West Highway, Suite 900, Bethesda, MD 20814, attention: Special Publishing. The information presented herein reflects the opinions of the contributors and advisors. It should not be interpreted as an official policy of ASHP or as an endorsement of any product. Because of ongoing research and improvements in technology, the information and its applications contained in this text are constantly evolving and are subject to the professional judgment and interpretation of the practitioner due to the uniqueness of a clinical situation. The editors and ASHP have made reasonable efforts to ensure the accuracy and appropriateness of the information presented in this document. However, any user of this information is advised that the editors and ASHP are not responsible for the continued currency of the information, for any errors or omissions, and/or for any consequences arising from the use of the information in the document in any and all practice settings. Any reader of this document is cautioned that ASHP makes no representation, guarantee, or warranty, express or implied, as to the accuracy and appropriateness of the information contained in this document and specifically disclaims any liability to any party for the accuracy and/or completeness of the material or for any damages arising out of the use or non-use of any of the information contained in this document.
    [Show full text]
  • Review of Pharmacokinetics and Pharmacogenetics in Atypical Long-Acting Injectable Antipsychotics
    pharmaceutics Review Review of Pharmacokinetics and Pharmacogenetics in Atypical Long-Acting Injectable Antipsychotics Francisco José Toja-Camba 1,2,† , Nerea Gesto-Antelo 3,†, Olalla Maroñas 3,†, Eduardo Echarri Arrieta 4, Irene Zarra-Ferro 2,4, Miguel González-Barcia 2,4 , Enrique Bandín-Vilar 2,4 , Victor Mangas Sanjuan 2,5,6 , Fernando Facal 7,8 , Manuel Arrojo Romero 7, Angel Carracedo 3,9,10,* , Cristina Mondelo-García 2,4,* and Anxo Fernández-Ferreiro 2,4,* 1 Pharmacy Department, University Clinical Hospital of Ourense (SERGAS), Ramón Puga 52, 32005 Ourense, Spain; [email protected] 2 Clinical Pharmacology Group, Institute of Health Research (IDIS), Travesía da Choupana s/n, 15706 Santiago de Compostela, Spain; [email protected] (I.Z.-F.); [email protected] (M.G.-B.); [email protected] (E.B.-V.); [email protected] (V.M.S.) 3 Genomic Medicine Group, CIMUS, University of Santiago de Compostela, 15782 Santiago de Compostela, Spain; [email protected] (N.G.-A.); [email protected] (O.M.) 4 Pharmacy Department, University Clinical Hospital of Santiago de Compostela (SERGAS), Citation: Toja-Camba, F.J.; 15706 Santiago de Compostela, Spain; [email protected] Gesto-Antelo, N.; Maroñas, O.; 5 Department of Pharmacy and Pharmaceutical Technology and Parasitology, University of Valencia, Echarri Arrieta, E.; Zarra-Ferro, I.; 46100 Valencia, Spain González-Barcia, M.; Bandín-Vilar, E.; 6 Interuniversity Research Institute for Molecular Recognition and Technological Development,
    [Show full text]
  • Pharmacokinetic and Pharmacodynamic Properties of Canakinumab, a Human Anti-Interleukin-1B Monoclonal Antibody
    View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by Springer - Publisher Connector Clin Pharmacokinet 2012; 51 (6): e1-e18 REVIEW ARTICLE 0312-5963/12/0006-0001 Adis ª 2012 Chakraborty et al., publisher and licensee Springer International Publishing AG. This is an open access article published under the terms of the Creative Commons License ‘‘Attribution-NonCommercial-NoDerivative 3.0’’ (http://creativecommons.org/licenses/by-nc-nd/3.0/) which permits non-commercial use, distribution, and reproduction, provided the original work is properly cited and not altered. Pharmacokinetic and Pharmacodynamic Properties of Canakinumab, a Human Anti-Interleukin-1b Monoclonal Antibody Abhijit Chakraborty,1 Stacey Tannenbaum,2 Christiane Rordorf,3 Philip J. Lowe,3 David Floch,3 Hermann Gram3 and Sandip Roy2 1 Novartis Institutes for BioMedical Research, East Hanover, NJ, USA 2 Novartis Pharmaceuticals Corporation, East Hanover, NJ, USA 3 Novartis Pharma AG, Postfach, Basel, Switzerland Contents Abstract............................................................................................................ e1 1. Introduction . e2 2. Pharmacology . e2 3. Product Description . e3 3.1 Analytical Methods . e3 3.1.1 Pharmacokinetic Assay . e3 3.1.2 Pharmacodynamic Assay. e4 3.1.3 Immunogenicity Assay. e4 4. Pharmacokinetics and Pharmacodynamics . e5 4.1 Nonclinical Pharmacokinetic Properties . e5 4.2 Clinical Pharmacokinetic and Pharmacodynamic Properties of Canakinumab. e5 4.2.1 Pharmacokinetic-Binding Model . e6 4.2.2 Basic Pharmacokinetic Properties of Canakinumab. e9 4.2.3 In Vivo Binding Properties of Canakinumab . e13 5. Effect of Demographic Characteristics and Extrinsic Factors . e14 5.1 Age and Body Weight . e14 5.2 Renal Function . e15 5.3 Sex.......................................................................................................
    [Show full text]
  • Pharmacokinetics
    PHARMACOKINETICS Dr Suryaprakash Reddy C Professor of Pharmaceutics Annamacharya College of Pharmacy, Rajampet, AP, India [email protected] Disclaimer This presentation is prepared and delivered for educational purpose only and not involved any commercial interests. The contents in this presentation are compiled from various resources. Thus, presenter shall not claim any copyright for this presentation and not responsible for any copyright issues if arise. Introduction • Pharmacokinetics • Pharmacokinetics is the field of science that deals with the kinetics of drug absorption, distribution and elimination • After oral administration: ▪ The drug is absorbed (A) from the site of administration to the systemic circulation ▪ The drug is distributed (D) to all parts of the body ▪ And the drug is eliminated from the body by metabolism and/or excretion (ME) • Each process is associated with one or more parameters that are dependent on the drug, drug product and the patient • These are the pharmacokinetic parameters and they determine the rate of the different processes The pharmacokinetic Applications • The pharmacokinetic principles have many applications in biomedical sciences: ▪ Pharmacological testing ▪ The pharmacokinetic principles are used to assess the relationship between the drug concentration and pharmacological activities. This is important to determine how much and how often the drug should be given • Toxicological Testing ▪ The pharmacological principles are used to assess tissue accumulation of drug and how it is related
    [Show full text]
  • Mining Biomedical Literature to Extract Pharmacokinetic
    MINING BIOMEDICAL LITERATURE TO EXTRACT PHARMACOKINETIC DRUG-DRUG INTERACTIONS Shreyas Karnik Submitted to the faculty of the School of Informatics, in partial fulfillment of the requirements for the degree of Master of Science in Bioinformatics, Indiana University June 2013 Accepted by the Faculty of Indiana University, in partial fulfillment of the requirements for the degree of Master of Science in Bioinformatics Master’s Thesis Committee ________________________ Lang Li, PhD., Chair ________________________ Yunlong Liu, PhD. ________________________ Xiaowen Liu, PhD. ii © 2013 Shreyas Karnik ALL RIGHTS RESERVED iii Dedicated to Aai - Baba iv ACKNOWLEDGMENTS I express my deep gratitude to my advisor Dr. Lang Li for providing me new ideas, inspiration and support that eventually translated to this thesis. During my interactions with Dr. Li I got valuable lessons on how to partake in high quality research, these lessons and close supervision along with critical feedback is something I will remember throughout my career. I would also like to thank Dr. Yunlong Liu and Dr. Xiaowen Liu for being part of my thesis committee and providing critical feedback on this work. I am thankful to the faculty and staff of Center for Computational Biology and Bioinformatics and School of Informatics for providing me financial support throughout the graduate program. I thank members of Li lab Dr. Sara Kay Quinney, Paul, Abhinita, Michael, Guanglong, Jack, Eileen and Santosh for being part of PK corpus creation team (Chapter 3) and providing continuous feedback and help during the course of this work. I am extremely grateful to my friends Yogesh, Rohit, Sarang for making my life at IUPUI memorable.
    [Show full text]