Proteostasis of Glial Intermediate Filaments: Disease Models, Tools, and Mechanisms
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Characterisation of the Α1b-Adrenoceptor by Modeling, Dynamics and Virtual Screening Kapil Jain B.Pharm, M.S.(Pharm.)
Characterisation of the α1B-Adrenoceptor by Modeling, Dynamics and Virtual Screening Kapil Jain B.Pharm, M.S.(Pharm.) A Thesis submitted for the degree of Master of Philosophy at The University of Queensland in 2018 Institute for Molecular Bioscience 0 Abstract G protein-coupled receptors (GPCRs) are the largest druggable class of proteins yet relatively little is known about the mechanism by which agonist binding induces the conformational changes necessary for G protein activation and intracellular signaling. Recently, the Kobilka group has shown that agonists, neutral antagonists and inverse agonists stabilise distinct extracellular surface (ECS) conformations of the β2-adrenergic receptor (AR) opening up new possibilities for allosteric drug targeting at GPCRs. The goal of this project is to extend these studies to define how the ECS conformation of the α1B-AR changes during agonist binding and develop an understanding of ligand entry and exit mechanisms that may help in the design of specific ligands with higher selectivity, efficacy and longer duration of action. Two parallel approaches were initiated to identify likely functional residues. The role of residues lining the primary binding site were predicted by online web server (Q-Site Finder) while secondary binding sites residues were predicted from molecular dynamics (MD) simulations. Predicted functionally significant residues were mutated and their function was established using FLIPR, radioligand and saturation binding assays. Despite the α1B-AR being pursued as a drug target for over last few decades, few specific agonists and antagonists are known to date. In an attempt to address this gap, we pursued ligand-based approach to find potential new leads. -
TABLE 1 Studies of Antagonist Activity in Constitutively Active
TABLE 1 Studies of antagonist activity in constitutively active receptors systems shown to demonstrate inverse agonism for at least one ligand Targets are natural Gs and constitutively active mutants (CAM) of GPCRs. Of 380 antagonists, 85% of the ligands demonstrate inverse agonism. Receptor Neutral Antagonist Inverse Agonist Reference Human β2-adrenergic Dichloroisoproterenol, pindolol, labetolol, timolol, Chidiac et al., 1996; Azzi et alprenolol, propranolol, ICI 118,551, cyanopindolol al., 2001 Turkey erythrocyte β-adrenergic Propranolol, pindolol Gotze et al., 1994 Human β2-adrenergic (CAM) Propranolol Betaxolol, ICI 118,551, sotalol, timolol Samama et al., 1994; Stevens and Milligan, 1998 Human/guinea pig β1-adrenergic Atenolol, propranolol Mewes et al., 1993 Human β1-adrenergic Carvedilol CGP20712A, metoprolol, bisoprolol Engelhardt et al., 2001 Rat α2D-adrenergic Rauwolscine, yohimbine, WB 4101, idazoxan, Tian et al., 1994 phentolamine, Human α2A-adrenergic Napthazoline, Rauwolscine, idazoxan, altipamezole, levomedetomidine, Jansson et al., 1998; Pauwels MPV-2088 (–)RX811059, RX 831003 et al., 2002 Human α2C-adrenergic RX821002, yohimbine Cayla et al., 1999 Human α2D-adrenergic Prazosin McCune et al., 2000 Rat α2-adrenoceptor MK912 RX821002 Murrin et al., 2000 Porcine α2A adrenoceptor (CAM- Idazoxan Rauwolscine, yohimbine, RX821002, MK912, Wade et al., 2001 T373K) phentolamine Human α2A-adrenoceptor (CAM) Dexefaroxan, (+)RX811059, (–)RX811059, RS15385, yohimbine, Pauwels et al., 2000 atipamezole fluparoxan, WB 4101 Hamster α1B-adrenergic -
(12) United States Patent (10) Patent No.: US 9,498,481 B2 Rao Et Al
USOO9498481 B2 (12) United States Patent (10) Patent No.: US 9,498,481 B2 Rao et al. (45) Date of Patent: *Nov. 22, 2016 (54) CYCLOPROPYL MODULATORS OF P2Y12 WO WO95/26325 10, 1995 RECEPTOR WO WO99/O5142 2, 1999 WO WOOO/34283 6, 2000 WO WO O1/92262 12/2001 (71) Applicant: Apharaceuticals. Inc., La WO WO O1/922.63 12/2001 olla, CA (US) WO WO 2011/O17108 2, 2011 (72) Inventors: Tadimeti Rao, San Diego, CA (US); Chengzhi Zhang, San Diego, CA (US) OTHER PUBLICATIONS Drugs of the Future 32(10), 845-853 (2007).* (73) Assignee: Auspex Pharmaceuticals, Inc., LaJolla, Tantry et al. in Expert Opin. Invest. Drugs (2007) 16(2):225-229.* CA (US) Wallentin et al. in the New England Journal of Medicine, 361 (11), 1045-1057 (2009).* (*) Notice: Subject to any disclaimer, the term of this Husted et al. in The European Heart Journal 27, 1038-1047 (2006).* patent is extended or adjusted under 35 Auspex in www.businesswire.com/news/home/20081023005201/ U.S.C. 154(b) by Od en/Auspex-Pharmaceuticals-Announces-Positive-Results-Clinical M YW- (b) by ayS. Study (published: Oct. 23, 2008).* This patent is Subject to a terminal dis- Concert In www.concertpharma. com/news/ claimer ConcertPresentsPreclinicalResultsNAMS.htm (published: Sep. 25. 2008).* Concert2 in Expert Rev. Anti Infect. Ther. 6(6), 782 (2008).* (21) Appl. No.: 14/977,056 Springthorpe et al. in Bioorganic & Medicinal Chemistry Letters 17. 6013-6018 (2007).* (22) Filed: Dec. 21, 2015 Leis et al. in Current Organic Chemistry 2, 131-144 (1998).* Angiolillo et al., Pharmacology of emerging novel platelet inhibi (65) Prior Publication Data tors, American Heart Journal, 2008, 156(2) Supp. -
The National Economic Burden of Rare Disease Study February 2021
Acknowledgements This study was sponsored by the EveryLife Foundation for Rare Diseases and made possible through the collaborative efforts of the national rare disease community and key stakeholders. The EveryLife Foundation thanks all those who shared their expertise and insights to provide invaluable input to the study including: the Lewin Group, the EveryLife Community Congress membership, the Technical Advisory Group for this study, leadership from the National Center for Advancing Translational Sciences (NCATS) at the National Institutes of Health (NIH), the Undiagnosed Diseases Network (UDN), the Little Hercules Foundation, the Rare Disease Legislative Advocates (RDLA) Advisory Committee, SmithSolve, and our study funders. Most especially, we thank the members of our rare disease patient and caregiver community who participated in this effort and have helped to transform their lived experience into quantifiable data. LEWIN GROUP PROJECT STAFF Grace Yang, MPA, MA, Vice President Inna Cintina, PhD, Senior Consultant Matt Zhou, BS, Research Consultant Daniel Emont, MPH, Research Consultant Janice Lin, BS, Consultant Samuel Kallman, BA, BS, Research Consultant EVERYLIFE FOUNDATION PROJECT STAFF Annie Kennedy, BS, Chief of Policy and Advocacy Julia Jenkins, BA, Executive Director Jamie Sullivan, MPH, Director of Policy TECHNICAL ADVISORY GROUP Annie Kennedy, BS, Chief of Policy & Advocacy, EveryLife Foundation for Rare Diseases Anne Pariser, MD, Director, Office of Rare Diseases Research, National Center for Advancing Translational Sciences (NCATS), National Institutes of Health Elisabeth M. Oehrlein, PhD, MS, Senior Director, Research and Programs, National Health Council Christina Hartman, Senior Director of Advocacy, The Assistance Fund Kathleen Stratton, National Academies of Science, Engineering and Medicine (NASEM) Steve Silvestri, Director, Government Affairs, Neurocrine Biosciences Inc. -
Summary: Traditionally, Bioanalytical Laboratories Do Not Report Actual
Summary: Traditionally, bioanalytical laboratories do not report actual concentrations for samples with results below the limit of quantification (BLQ) in pharmacokinetic studies. BLQ values are outside the method calibration range established during validation and no data are available to support the reliability of these values. However, ignoring BLQ data can contribute to bias and imprecision in model-based pharmacokinetic analyses. From this perspective, routine use of BLQ data would be advantageous. We would like to initiate an interdisciplinary debate on this important topic by summarising the current concepts and use of BLQ data by regulators, pharmacometricians and bioanalysts. Through introducing the limit of detection and evaluating its variability BLQ data could be released and utilized appropriately for pharmacokinetic research. Keywords: Lower limit of quantification (LLOQ) Below limit of quantification (BLQ) result Limit of detection (LoD) Pharmacokinetic (PK) Pharmacodynamics (PD) Introduction Studying the effects of drugs remains central to both medical research and clinical practice. Two key branches of pharmacological analysis are (i) pharmacokinetics (PK), including drug absorption, distribution, metabolism and elimination, and (ii) pharmacodynamics (PD), exploring the effects of drugs on the living organism, including efficacy and toxicity. In PK studies the samples are collected in an effort to map the drug concentration over time in the patient. For samples collected many hours post-dose drug concentrations may be low, yet can still provide valuable information on pharmacokinetic parameters such as clearance [1,2]. Similarly, in the case of biomarker PD studies, concentrations that are too low to quantify with a particular bioanalytical method may still provide useful information. Bioanalytical laboratories define the lowest concentration that can be quantified accurately by a method as the lower limit of quantification (LLOQ). -
From Inverse Agonism to 'Paradoxical Pharmacology' Richard A
International Congress Series 1249 (2003) 27-37 From inverse agonism to 'Paradoxical Pharmacology' Richard A. Bond*, Kenda L.J. Evans, Zsirzsanna Callaerts-Vegh Department of Pharmacological and Pharmaceutical Sciences, University of Houston, 521 Science and Research Bldg 2, 4800 Caltioun, Houston, TX 77204-5037, USA Received 16 April 2003; accepted 16 April 2003 Abstract The constitutive or spontaneous activity of G protein-coupled receptors (GPCRs) and compounds acting as inverse agonists is a recent but well-established phenomenon. Dozens of receptor subtypes for numerous neurotransmitters and hormones have been shown to posses this property. However, do to the apparently low percentage of receptors in the spontaneously active state, the physiologic relevance of these findings remains questionable. The possibility that the reciprocal nature of the effects of agonists and inverse agonists may extend to cellular signaling is discussed, and that this may account for the beneficial effects of certain p-adrenoceptor inverse agonists in the treatment of heart failure. © 2003 Elsevier Science B.V. All rights reserved. Keywords. Inverse agonism; GPCR; Paradoxical pharmacology 1. Brief history of inverse agonism at G protein-coupled receptors For approximately three-quarters of a century, ligands that interacted with G protein- coupled receptors (GPCRs) were classified either as agonists or antagonists. Receptors were thought to exist in a single quiescent state that could only induce cellular signaling upon agonist binding to the receptor to produce an activated state of the receptor. In this model, antagonists had no cellular signaling ability on their own, but did bind to the receptor and prevented agonists from being able to bind and activate the receptor. -
Selective Blockade of the Metabotropic Glutamate Receptor Mglur5 Protects Mouse Livers in in Vitro and Ex Vivo Models of Ischemia Reperfusion Injury
International Journal of Molecular Sciences Article Selective Blockade of the Metabotropic Glutamate Receptor mGluR5 Protects Mouse Livers in In Vitro and Ex Vivo Models of Ischemia Reperfusion Injury Andrea Ferrigno 1,* ID , Clarissa Berardo 1, Laura Giuseppina Di Pasqua 1, Veronica Siciliano 1, Plinio Richelmi 1, Ferdinando Nicoletti 2,3 and Mariapia Vairetti 1 ID 1 Department of Internal Medicine and Therapeutics, Cellular and Molecular Pharmacology and Toxicology Unit, University of Pavia, 27100 Pavia, Italy; [email protected] (C.B.); [email protected] (L.G.D.P.); [email protected] (V.S.); [email protected] (P.R.); [email protected] (M.V.) 2 Department of Physiology and Pharmacology, Sapienza University, 00185 Roma, Italy; [email protected] 3 I.R.C.C.S. Neuromed, 86077 Pozzilli, Italy * Correspondence: [email protected]; Tel.: +39-0382-986451 Received: 20 November 2017; Accepted: 22 January 2018; Published: 23 January 2018 Abstract: 2-Methyl-6-(phenylethynyl)pyridine (MPEP), a negative allosteric modulator of the metabotropic glutamate receptor (mGluR) 5, protects hepatocytes from ischemic injury. In astrocytes and microglia, MPEP depletes ATP. These findings seem to be self-contradictory, since ATP depletion is a fundamental stressor in ischemia. This study attempted to reconstruct the mechanism of MPEP-mediated ATP depletion and the consequences of ATP depletion on protection against ischemic injury. We compared the effects of MPEP and other mGluR5 negative modulators on ATP concentration when measured in rat hepatocytes and acellular solutions. We also evaluated the effects of mGluR5 blockade on viability in rat hepatocytes exposed to hypoxia. Furthermore, we studied the effects of MPEP treatment on mouse livers subjected to cold ischemia and warm ischemia reperfusion. -
Metabotropic Glutamate Receptors
mGluR Metabotropic glutamate receptors mGluR (metabotropic glutamate receptor) is a type of glutamate receptor that are active through an indirect metabotropic process. They are members of thegroup C family of G-protein-coupled receptors, or GPCRs. Like all glutamate receptors, mGluRs bind with glutamate, an amino acid that functions as an excitatoryneurotransmitter. The mGluRs perform a variety of functions in the central and peripheral nervous systems: mGluRs are involved in learning, memory, anxiety, and the perception of pain. mGluRs are found in pre- and postsynaptic neurons in synapses of the hippocampus, cerebellum, and the cerebral cortex, as well as other parts of the brain and in peripheral tissues. Eight different types of mGluRs, labeled mGluR1 to mGluR8, are divided into groups I, II, and III. Receptor types are grouped based on receptor structure and physiological activity. www.MedChemExpress.com 1 mGluR Agonists, Antagonists, Inhibitors, Modulators & Activators (-)-Camphoric acid (1R,2S)-VU0155041 Cat. No.: HY-122808 Cat. No.: HY-14417A (-)-Camphoric acid is the less active enantiomer (1R,2S)-VU0155041, Cis regioisomer of VU0155041, is of Camphoric acid. Camphoric acid stimulates a partial mGluR4 agonist with an EC50 of 2.35 osteoblast differentiation and induces μM. glutamate receptor expression. Camphoric acid also significantly induced the activation of NF-κB and AP-1. Purity: ≥98.0% Purity: ≥98.0% Clinical Data: No Development Reported Clinical Data: No Development Reported Size: 10 mM × 1 mL, 100 mg Size: 10 mM × 1 mL, 5 mg, 10 mg, 25 mg (2R,4R)-APDC (R)-ADX-47273 Cat. No.: HY-102091 Cat. No.: HY-13058B (2R,4R)-APDC is a selective group II metabotropic (R)-ADX-47273 is a potent mGluR5 positive glutamate receptors (mGluRs) agonist. -
Inherited Neuropathies
407 Inherited Neuropathies Vera Fridman, MD1 M. M. Reilly, MD, FRCP, FRCPI2 1 Department of Neurology, Neuromuscular Diagnostic Center, Address for correspondence Vera Fridman, MD, Neuromuscular Massachusetts General Hospital, Boston, Massachusetts Diagnostic Center, Massachusetts General Hospital, Boston, 2 MRC Centre for Neuromuscular Diseases, UCL Institute of Neurology Massachusetts, 165 Cambridge St. Boston, MA 02114 and The National Hospital for Neurology and Neurosurgery, Queen (e-mail: [email protected]). Square, London, United Kingdom Semin Neurol 2015;35:407–423. Abstract Hereditary neuropathies (HNs) are among the most common inherited neurologic Keywords disorders and are diverse both clinically and genetically. Recent genetic advances have ► hereditary contributed to a rapid expansion of identifiable causes of HN and have broadened the neuropathy phenotypic spectrum associated with many of the causative mutations. The underlying ► Charcot-Marie-Tooth molecular pathways of disease have also been better delineated, leading to the promise disease for potential treatments. This chapter reviews the clinical and biological aspects of the ► hereditary sensory common causes of HN and addresses the challenges of approaching the diagnostic and motor workup of these conditions in a rapidly evolving genetic landscape. neuropathy ► hereditary sensory and autonomic neuropathy Hereditary neuropathies (HN) are among the most common Select forms of HN also involve cranial nerves and respiratory inherited neurologic diseases, with a prevalence of 1 in 2,500 function. Nevertheless, in the majority of patients with HN individuals.1,2 They encompass a clinically heterogeneous set there is no shortening of life expectancy. of disorders and vary greatly in severity, spanning a spectrum Historically, hereditary neuropathies have been classified from mildly symptomatic forms to those resulting in severe based on the primary site of nerve pathology (myelin vs. -
Zebrafish Behavioral Profiling Links Drugs to Biological Targets and Rest/Wake Regulation
www.sciencemag.org/cgi/content/full/327/5963/348/DC1 Supporting Online Material for Zebrafish Behavioral Profiling Links Drugs to Biological Targets and Rest/Wake Regulation Jason Rihel,* David A. Prober, Anthony Arvanites, Kelvin Lam, Steven Zimmerman, Sumin Jang, Stephen J. Haggarty, David Kokel, Lee L. Rubin, Randall T. Peterson, Alexander F. Schier* *To whom correspondence should be addressed. E-mail: [email protected] (A.F.S.); [email protected] (J.R.) Published 15 January 2010, Science 327, 348 (2010) DOI: 10.1126/science.1183090 This PDF file includes: Materials and Methods SOM Text Figs. S1 to S18 Table S1 References Supporting Online Material Table of Contents Materials and Methods, pages 2-4 Supplemental Text 1-7, pages 5-10 Text 1. Psychotropic Drug Discovery, page 5 Text 2. Dose, pages 5-6 Text 3. Therapeutic Classes of Drugs Induce Correlated Behaviors, page 6 Text 4. Polypharmacology, pages 6-7 Text 5. Pharmacological Conservation, pages 7-9 Text 6. Non-overlapping Regulation of Rest/Wake States, page 9 Text 7. High Throughput Behavioral Screening in Practice, page 10 Supplemental Figure Legends, pages 11-14 Figure S1. Expanded hierarchical clustering analysis, pages 15-18 Figure S2. Hierarchical and k-means clustering yield similar cluster architectures, page 19 Figure S3. Expanded k-means clustergram, pages 20-23 Figure S4. Behavioral fingerprints are stable across a range of doses, page 24 Figure S5. Compounds that share biological targets have highly correlated behavioral fingerprints, page 25 Figure S6. Examples of compounds that share biological targets and/or structural similarity that give similar behavioral profiles, page 26 Figure S7. -
Histamine Receptors
Tocris Scientific Review Series Tocri-lu-2945 Histamine Receptors Iwan de Esch and Rob Leurs Introduction Leiden/Amsterdam Center for Drug Research (LACDR), Division Histamine is one of the aminergic neurotransmitters and plays of Medicinal Chemistry, Faculty of Sciences, Vrije Universiteit an important role in the regulation of several (patho)physiological Amsterdam, De Boelelaan 1083, 1081 HV, Amsterdam, The processes. In the mammalian brain histamine is synthesised in Netherlands restricted populations of neurons that are located in the tuberomammillary nucleus of the posterior hypothalamus.1 Dr. Iwan de Esch is an assistant professor and Prof. Rob Leurs is These neurons project diffusely to most cerebral areas and have full professor and head of the Division of Medicinal Chemistry of been implicated in several brain functions (e.g. sleep/ the Leiden/Amsterdam Center of Drug Research (LACDR), VU wakefulness, hormonal secretion, cardiovascular control, University Amsterdam, The Netherlands. Since the seventies, thermoregulation, food intake, and memory formation).2 In histamine receptor research has been one of the traditional peripheral tissues, histamine is stored in mast cells, eosinophils, themes of the division. Molecular understanding of ligand- basophils, enterochromaffin cells and probably also in some receptor interaction is obtained by combining pharmacology specific neurons. Mast cell histamine plays an important role in (signal transduction, proliferation), molecular biology, receptor the pathogenesis of various allergic conditions. After mast cell modelling and the synthesis and identification of new ligands. degranulation, release of histamine leads to various well-known symptoms of allergic conditions in the skin and the airway system. In 1937, Bovet and Staub discovered compounds that antagonise the effect of histamine on these allergic reactions.3 Ever since, there has been intense research devoted towards finding novel ligands with (anti-) histaminergic activity. -
4 Supplementary File
Supplemental Material for High-throughput screening discovers anti-fibrotic properties of Haloperidol by hindering myofibroblast activation Michael Rehman1, Simone Vodret1, Luca Braga2, Corrado Guarnaccia3, Fulvio Celsi4, Giulia Rossetti5, Valentina Martinelli2, Tiziana Battini1, Carlin Long2, Kristina Vukusic1, Tea Kocijan1, Chiara Collesi2,6, Nadja Ring1, Natasa Skoko3, Mauro Giacca2,6, Giannino Del Sal7,8, Marco Confalonieri6, Marcello Raspa9, Alessandro Marcello10, Michael P. Myers11, Sergio Crovella3, Paolo Carloni5, Serena Zacchigna1,6 1Cardiovascular Biology, 2Molecular Medicine, 3Biotechnology Development, 10Molecular Virology, and 11Protein Networks Laboratories, International Centre for Genetic Engineering and Biotechnology (ICGEB), Padriciano, 34149, Trieste, Italy 4Institute for Maternal and Child Health, IRCCS "Burlo Garofolo", Trieste, Italy 5Computational Biomedicine Section, Institute of Advanced Simulation IAS-5 and Institute of Neuroscience and Medicine INM-9, Forschungszentrum Jülich GmbH, 52425, Jülich, Germany 6Department of Medical, Surgical and Health Sciences, University of Trieste, 34149 Trieste, Italy 7National Laboratory CIB, Area Science Park Padriciano, Trieste, 34149, Italy 8Department of Life Sciences, University of Trieste, Trieste, 34127, Italy 9Consiglio Nazionale delle Ricerche (IBCN), CNR-Campus International Development (EMMA- INFRAFRONTIER-IMPC), Rome, Italy This PDF file includes: Supplementary Methods Supplementary References Supplementary Figures with legends 1 – 18 Supplementary Tables with legends 1 – 5 Supplementary Movie legends 1, 2 Supplementary Methods Cell culture Primary murine fibroblasts were isolated from skin, lung, kidney and hearts of adult CD1, C57BL/6 or aSMA-RFP/COLL-EGFP mice (1) by mechanical and enzymatic tissue digestion. Briefly, tissue was chopped in small chunks that were digested using a mixture of enzymes (Miltenyi Biotec, 130- 098-305) for 1 hour at 37°C with mechanical dissociation followed by filtration through a 70 µm cell strainer and centrifugation.