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Edinburgh Research Explorer International Union of Basic and Clinical Pharmacology. LXXXVIII. G protein-coupled receptor list Citation for published version: Davenport, AP, Alexander, SPH, Sharman, JL, Pawson, AJ, Benson, HE, Monaghan, AE, Liew, WC, Mpamhanga, CP, Bonner, TI, Neubig, RR, Pin, JP, Spedding, M & Harmar, AJ 2013, 'International Union of Basic and Clinical Pharmacology. LXXXVIII. G protein-coupled receptor list: recommendations for new pairings with cognate ligands', Pharmacological reviews, vol. 65, no. 3, pp. 967-86. https://doi.org/10.1124/pr.112.007179 Digital Object Identifier (DOI): 10.1124/pr.112.007179 Link: Link to publication record in Edinburgh Research Explorer Document Version: Publisher's PDF, also known as Version of record Published In: Pharmacological reviews Publisher Rights Statement: U.S. Government work not protected by U.S. copyright General rights Copyright for the publications made accessible via the Edinburgh Research Explorer is retained by the author(s) and / or other copyright owners and it is a condition of accessing these publications that users recognise and abide by the legal requirements associated with these rights. Take down policy The University of Edinburgh has made every reasonable effort to ensure that Edinburgh Research Explorer content complies with UK legislation. If you believe that the public display of this file breaches copyright please contact [email protected] providing details, and we will remove access to the work immediately and investigate your claim. Download date: 02. Oct. 2021 1521-0081/65/3/967–986$25.00 http://dx.doi.org/10.1124/pr.112.007179 PHARMACOLOGICAL REVIEWS Pharmacol Rev 65:967–986, July 2013 U.S. -
Resistin Levels and Inflammatory Markers in Patients with Morbid Obesity
Nutr Hosp. 2010;25(4):630-634 ISSN 0212-1611 • CODEN NUHOEQ S.V.R. 318 Original Resistin levels and inflammatory markers in patients with morbid obesity D. A. De Luis, M. González Sagrado, R. Conde, R. Aller and O. Izaola Instituto de Endocrinología y Nutrición Clínica. Medicine School and Unit of Investigation. Hospital Rio Hortega. RD-056/0013 RETICEF. University of Valladolid. Valladolid. Spain. Abstract NIVELES DE RESISTINA Y MARCADORES INFLAMATORIOS EN PACIENTES Background: The aim of the present study was to CON OBESIDAD MÓRBIDA explore the relationship of resistin levels with inflamma- tory markers and anthropometric parameters in morbid obese patients. Resumen Subjects: A population of 46 morbid obese was ana- lyzed. A complete nutritional and biochemical evaluation Introducción: El objetivo del presente estudio es eva- was performed. Patients were divided in two groups by luar la relación entre los niveles de resistina con los mar- median resistin value (3.49 ng/ml), group I (low values, cadores inflamatorios y parámetros antropométricos en average value 2.60 ± 0.5) and group II (high values, aver- pacientes obesos morbidos. age value 5.71 ± 2.25). Sujetos y métodos: Una muestra de 46 obesos morbidos Results: Patients in the group II had higher weight, fue analizada. Se realizó una valoración nutricional y bio- BMI, fat mass, waist circumference, LDL-cholesterol, química completa. Los pacientes fueron divididos en dos triglycerides, fibrinogen and C reactive protein than grupos en función de la mediana de resistina (3,49 ng/ml), patients in group I. In the multivariate analysis with age- grupo I (valores bajos, media del valor 2,60 ± 0,5 ng/ml) y and sex-adjusted basal resistin concentration as a depen- grupo II (valores altos, media del valor 5,71 ± 2,25 ng/ml). -
A Computational Approach for Defining a Signature of Β-Cell Golgi Stress in Diabetes Mellitus
Page 1 of 781 Diabetes A Computational Approach for Defining a Signature of β-Cell Golgi Stress in Diabetes Mellitus Robert N. Bone1,6,7, Olufunmilola Oyebamiji2, Sayali Talware2, Sharmila Selvaraj2, Preethi Krishnan3,6, Farooq Syed1,6,7, Huanmei Wu2, Carmella Evans-Molina 1,3,4,5,6,7,8* Departments of 1Pediatrics, 3Medicine, 4Anatomy, Cell Biology & Physiology, 5Biochemistry & Molecular Biology, the 6Center for Diabetes & Metabolic Diseases, and the 7Herman B. Wells Center for Pediatric Research, Indiana University School of Medicine, Indianapolis, IN 46202; 2Department of BioHealth Informatics, Indiana University-Purdue University Indianapolis, Indianapolis, IN, 46202; 8Roudebush VA Medical Center, Indianapolis, IN 46202. *Corresponding Author(s): Carmella Evans-Molina, MD, PhD ([email protected]) Indiana University School of Medicine, 635 Barnhill Drive, MS 2031A, Indianapolis, IN 46202, Telephone: (317) 274-4145, Fax (317) 274-4107 Running Title: Golgi Stress Response in Diabetes Word Count: 4358 Number of Figures: 6 Keywords: Golgi apparatus stress, Islets, β cell, Type 1 diabetes, Type 2 diabetes 1 Diabetes Publish Ahead of Print, published online August 20, 2020 Diabetes Page 2 of 781 ABSTRACT The Golgi apparatus (GA) is an important site of insulin processing and granule maturation, but whether GA organelle dysfunction and GA stress are present in the diabetic β-cell has not been tested. We utilized an informatics-based approach to develop a transcriptional signature of β-cell GA stress using existing RNA sequencing and microarray datasets generated using human islets from donors with diabetes and islets where type 1(T1D) and type 2 diabetes (T2D) had been modeled ex vivo. To narrow our results to GA-specific genes, we applied a filter set of 1,030 genes accepted as GA associated. -
(Title of the Thesis)*
THE PHYSIOLOGICAL ACTIONS OF ADIPONECTIN IN CENTRAL AUTONOMIC NUCLEI: IMPLICATIONS FOR THE INTEGRATIVE CONTROL OF ENERGY HOMEOSTASIS by Ted Donald Hoyda A thesis submitted to the Department of Physiology In conformity with the requirements for the degree of Doctor of Philosophy Queen‟s University Kingston, Ontario, Canada (September, 2009) Copyright © Ted Donald Hoyda, 2009 ABSTRACT Adiponectin regulates feeding behavior, energy expenditure and autonomic function through the activation of two receptors present in nuclei throughout the central nervous system, however much remains unknown about the mechanisms mediating these effects. Here I investigate the actions of adiponectin in autonomic centers of the hypothalamus (the paraventricular nucleus) and brainstem (the nucleus of the solitary tract) through examining molecular, electrical, hormonal and physiological consequences of peptidergic signalling. RT-PCR and in situ hybridization experiments demonstrate the presence of AdipoR1 and AdipoR2 mRNA in the paraventricular nucleus. Investigation of the electrical consequences following receptor activation in the paraventricular nucleus indicates that magnocellular-oxytocin cells are homogeneously inhibited while magnocellular-vasopressin neurons display mixed responses. Single cell RT-PCR analysis shows oxytocin neurons express both receptors while vasopressin neurons express either both receptors or one receptor. Co-expressing oxytocin and vasopressin neurons express neither receptor and are not affected by adiponectin. Median eminence projecting corticotropin releasing hormone neurons, brainstem projecting oxytocin neurons, and thyrotropin releasing hormone neurons are all depolarized by adiponectin. Plasma adrenocorticotropin hormone concentration is increased following intracerebroventricular injections of adiponectin. I demonstrate that the nucleus of the solitary tract, the primary cardiovascular regulation site of the medulla, expresses mRNA for AdipoR1 and AdipoR2 and mediates adiponectin induced hypotension. -
Resistin, Is There Any Role in the Mediation of Obesity, Insulin Resistance and Type-II Diabetes Mellitus?
Review Article JOJ Case Stud Volume 6 Issue 3 - March 2018 Copyright © All rights are reserved by Rajeev Pandey DOI: 10.19080/JOJCS.2018.06.555686 Resistin, Is There any Role in the Mediation of Obesity, Insulin Resistance and Type-II Diabetes Mellitus? Rajeev Pandey1* and Gurumurthy2 1Department of Biochemistry, Spartan Health Science University, West Indies 2Department of Neurosciences, Spartan Health Science University, West Indies Submission: February 21, 2018; Published: March 05, 2018 *Corresponding author: Rajeev Pandey, Department of Biochemistry, Spartan Health Science University, St. Lucia, West Indies, Email: Abstract Resistin is a member of a class of cystein-rich proteins collectively termed as resistin-like molecules. Resistin has been implicated in tothe date pathogenesis there has ofbeen obesity-mediated considerable controversy insulin resistance surrounding and T2DM this 12.5kDa(Type II polypeptidediabetes mellitus). in understanding In addition, its resistin physiological also appears relevance to be in a bothpro- inflammatory cytokine. Taken together, resistin, like many other adipocytokines, may possess a dual role in contributing to disease risk. However, involvementhuman and rodent of resistin systems. molecule Furthermore, in the causation this has and led progression question, ofwhether obesity resistin and type represents II diabetes an mellitus important and pathogenicfactors associated factor within the alteration etiology inof theT2DM expression or not. Inof this magicreview, molecule authors athave physiological made an attemptand genetic to discuss levels. the key controversies and developments made so far towards the Keywords: Resistin; Obesity; T2DM; Insulin resistance Introduction Adipose tissue is known to produce a vast array of In addition, we will highlight the continuing complexity of the adipocyte-derived factors, known as adipocytokines. -
Pathophysiology of Gestational Diabetes Mellitus: the Past, the Present and the Future
6 Pathophysiology of Gestational Diabetes Mellitus: The Past, the Present and the Future Mohammed Chyad Al-Noaemi1 and Mohammed Helmy Faris Shalayel2 1Al-Yarmouk College, Khartoum, 2National College for Medical and Technical Studies, Khartoum, Sudan 1. Introduction It is just to remember that “Pathophysiology” refers to the study of alterations in normal body function (physiology and biochemistry) which result in disease. E.g. changes in the normal thyroid hormone level causes either hyper or hypothyroidism. Changes in insulin level as a decrease in its blood level or a decrease in its action will cause hyperglycemia and finally diabetes mellitus. Scientists agreed that gestational diabetes mellitus (GDM) is a condition in which women without previously diagnosed diabetes exhibit high blood glucose levels during pregnancy. From our experience most women with GDM in the developing countries are not aware of the symptoms (i.e., the disease will be symptomless). While some of the women will have few symptoms and their GDM is most commonly diagnosed by routine blood examinations during pregnancy which detect inappropriate high level of glucose in their blood samples. GDM should be confirmed by doing fasting blood glucose and oral glucose tolerance test (OGTT), according to the WHO diagnostic criteria for diabetes. A decrease in insulin sensitivity (i.e. an increase in insulin resistance) is normally seen during pregnancy to spare the glucose for the fetus. This is attributed to the effects of placental hormones. In a few women the physiological changes during pregnancy result in impaired glucose tolerance which might develop diabetes mellitus (GDM). The prevalence of GDM ranges from 1% to 14% of all pregnancies depending on the population studied and the diagnostic tests used. -
Mutation of L7rn3 Shows That Odz4 Is Required for Mouse Gastrulation
Copyright 2005 by the Genetics Society of America DOI: 10.1534/genetics.104.034967 Mutation of l7Rn3 Shows That Odz4 Is Required for Mouse Gastrulation Amy C. Lossie,1 Hisashi Nakamura,1 Sharon E. Thomas2 and Monica J. Justice3 Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas 77030 Manuscript received August 12, 2004 Accepted for publication October 8, 2004 ABSTRACT A mouse homolog of the Drosophila pair-rule gene Odd Oz (Odz4) maps to the critical region of the l7Rn3 locus on mouse chromosome 7. Here we show that Odz4 is an excellent candidate for this allelic series because (1) it spans the entire critical region, (2) the phenotypes correlate with embryonic expression, (3) the complex genetic inheritance of the alleles is consistent with complex transcriptional regulation, and (4) one allele has a mutation in a conserved amino acid. Odz4 uses five alternate promoters that encode both secreted and membrane-bound proteins. Intragenic complementation of the l7Rn3 alleles is consistent with these multiple-protein isoforms. Further, the allelic series shows that Odz4 is required to establish the anterior-posterior axis of the gastrulating mouse embryo and is necessary later for meso- derm-derived tissues such as somites, heart, and skeleton. Sequencing of RT-PCR products from five of the six alleles reveals a nonconservative amino acid change in the l7Rn3 m4 allele. This amino acid is important evolutionarily, as it is conserved to Drosophila. Together, our data indicate that Odz4 is mutated in the l7Rn3 allele series and performs roles in the mouse brain, heart, and embryonic patterning similar to those of its Drosophila counterpart. -
Supplementary Table S4. FGA Co-Expressed Gene List in LUAD
Supplementary Table S4. FGA co-expressed gene list in LUAD tumors Symbol R Locus Description FGG 0.919 4q28 fibrinogen gamma chain FGL1 0.635 8p22 fibrinogen-like 1 SLC7A2 0.536 8p22 solute carrier family 7 (cationic amino acid transporter, y+ system), member 2 DUSP4 0.521 8p12-p11 dual specificity phosphatase 4 HAL 0.51 12q22-q24.1histidine ammonia-lyase PDE4D 0.499 5q12 phosphodiesterase 4D, cAMP-specific FURIN 0.497 15q26.1 furin (paired basic amino acid cleaving enzyme) CPS1 0.49 2q35 carbamoyl-phosphate synthase 1, mitochondrial TESC 0.478 12q24.22 tescalcin INHA 0.465 2q35 inhibin, alpha S100P 0.461 4p16 S100 calcium binding protein P VPS37A 0.447 8p22 vacuolar protein sorting 37 homolog A (S. cerevisiae) SLC16A14 0.447 2q36.3 solute carrier family 16, member 14 PPARGC1A 0.443 4p15.1 peroxisome proliferator-activated receptor gamma, coactivator 1 alpha SIK1 0.435 21q22.3 salt-inducible kinase 1 IRS2 0.434 13q34 insulin receptor substrate 2 RND1 0.433 12q12 Rho family GTPase 1 HGD 0.433 3q13.33 homogentisate 1,2-dioxygenase PTP4A1 0.432 6q12 protein tyrosine phosphatase type IVA, member 1 C8orf4 0.428 8p11.2 chromosome 8 open reading frame 4 DDC 0.427 7p12.2 dopa decarboxylase (aromatic L-amino acid decarboxylase) TACC2 0.427 10q26 transforming, acidic coiled-coil containing protein 2 MUC13 0.422 3q21.2 mucin 13, cell surface associated C5 0.412 9q33-q34 complement component 5 NR4A2 0.412 2q22-q23 nuclear receptor subfamily 4, group A, member 2 EYS 0.411 6q12 eyes shut homolog (Drosophila) GPX2 0.406 14q24.1 glutathione peroxidase -
Molecular Codes for Cell Type Specification in Brn3 Retinal
Molecular codes for cell type specification in PNAS PLUS Brn3 retinal ganglion cells Szilard Sajgoa,1, Miruna Georgiana Ghiniaa,2, Matthew Brooksb, Friedrich Kretschmera,3, Katherine Chuanga,4, Suja Hiriyannac, Zhijian Wuc, Octavian Popescud,e, and Tudor Constantin Badeaa,5 aRetinal Circuits Development and Genetics Unit, Neurobiology–Neurodegeneration and Repair Laboratory, National Eye Institute, Bethesda, MD 20892; bGenomics Core, Neurobiology–Neurodegeneration and Repair Laboratory, National Eye Institute, Bethesda, MD 20892; cOcular Gene Therapy Core, National Eye Institute, Bethesda, MD 20892; dInstitute of Biology, Romanian Academy, Bucharest 060031, Romania; and eMolecular Biology Center, Interdisciplinary Research Institute on Bio-Nano-Science, Babes-Bolyai University, Cluj-Napoca 400084, Romania Edited by Jeremy Nathans, Johns Hopkins University, Baltimore, MD, and approved April 12, 2017 (received for review November 8, 2016) Visual information is conveyed from the eye to the brain by Onecut2 (6, 13, 26–33). Together with Isl1 and Brn3b, these distinct types of retinal ganglion cells (RGCs). It is largely unknown downstream factors are expressed in partially overlapping patterns how RGCs acquire their defining morphological and physiological in RGC types, and some were shown to be required for survival features and connect to upstream and downstream synaptic and/or dendrite and axon formation in various RGC types. partners. The three Brn3/Pou4f transcription factors (TFs) participate However, many other TFs may be involved -
G Protein-Coupled Receptors
S.P.H. Alexander et al. The Concise Guide to PHARMACOLOGY 2015/16: G protein-coupled receptors. British Journal of Pharmacology (2015) 172, 5744–5869 THE CONCISE GUIDE TO PHARMACOLOGY 2015/16: G protein-coupled receptors Stephen PH Alexander1, Anthony P Davenport2, Eamonn Kelly3, Neil Marrion3, John A Peters4, Helen E Benson5, Elena Faccenda5, Adam J Pawson5, Joanna L Sharman5, Christopher Southan5, Jamie A Davies5 and CGTP Collaborators 1School of Biomedical Sciences, University of Nottingham Medical School, Nottingham, NG7 2UH, UK, 2Clinical Pharmacology Unit, University of Cambridge, Cambridge, CB2 0QQ, UK, 3School of Physiology and Pharmacology, University of Bristol, Bristol, BS8 1TD, UK, 4Neuroscience Division, Medical Education Institute, Ninewells Hospital and Medical School, University of Dundee, Dundee, DD1 9SY, UK, 5Centre for Integrative Physiology, University of Edinburgh, Edinburgh, EH8 9XD, UK Abstract The Concise Guide to PHARMACOLOGY 2015/16 provides concise overviews of the key properties of over 1750 human drug targets with their pharmacology, plus links to an open access knowledgebase of drug targets and their ligands (www.guidetopharmacology.org), which provides more detailed views of target and ligand properties. The full contents can be found at http://onlinelibrary.wiley.com/doi/ 10.1111/bph.13348/full. G protein-coupled receptors are one of the eight major pharmacological targets into which the Guide is divided, with the others being: ligand-gated ion channels, voltage-gated ion channels, other ion channels, nuclear hormone receptors, catalytic receptors, enzymes and transporters. These are presented with nomenclature guidance and summary information on the best available pharmacological tools, alongside key references and suggestions for further reading. -
IL-33, Diet-Induced Obesity, and Pulmonary Responses to Ozone David I
Kasahara and Shore Respiratory Research (2020) 21:98 https://doi.org/10.1186/s12931-020-01361-9 RESEARCH Open Access IL-33, diet-induced obesity, and pulmonary responses to ozone David I. Kasahara and Stephanie A. Shore* Abstract Background: Obesity augments pulmonary responses to ozone. We have reported that IL-33 contributes to these effects of obesity in db/db mice. The purpose of this study was to determine whether IL-33 also contributes to obesity-related changes in the response to ozone in mice with diet-induced obesity. Methods: Male wildtype C57BL/6 mice and mice deficient in ST2, the IL-33 receptor, were placed on chow or high fat diets for 12 weeks from weaning. Because the microbiome has been implicated in obesity-related changes in the pulmonaryresponsetoozone,micewereeitherhousedwithothermiceofthesamegenotype(samehoused)orwith mice of the opposite genotype (cohoused). Cohousing transfers the gut microbiome from one mouse to its cagemates. Results: Diet-induced increases in body mass were not affected by ST2 deficiency or cohousing. In same housed mice, ST2 deficiency reduced ozone-induced airway hyperresponsiveness and neutrophil recruitment in chow-fed but not HFD- fed mice even though ST2 deficiency reduced bronchoalveolar lavage IL-5 in both diet groups. In chow-fed mice, cohousing abolished ST2-related reductions in ozone-induced airway hyperresponsiveness and neutrophil recruitment, butinHFD-fedmice,noeffectofcohousingontheseresponsestoozonewasobserved.Inchow-fedmice,ST2 deficiency and cohousing caused changes in the gut microbiome. High fat diet-feeding caused marked changes in the gut microbiome and overrode both ST2-related and cohousing-related differences in the gut microbiome observed in chow-fed mice. -
1 Supplemental Material Maresin 1 Activates LGR6 Receptor
Supplemental Material Maresin 1 Activates LGR6 Receptor Promoting Phagocyte Immunoresolvent Functions Nan Chiang, Stephania Libreros, Paul C. Norris, Xavier de la Rosa, Charles N. Serhan Center for Experimental Therapeutics and Reperfusion Injury, Department of Anesthesiology, Perioperative and Pain Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts 02115, USA. 1 Supplemental Table 1. Screening of orphan GPCRs with MaR1 Vehicle Vehicle MaR1 MaR1 mean RLU > GPCR ID SD % Activity Mean RLU Mean RLU + 2 SD Mean RLU Vehicle mean RLU+2 SD? ADMR 930920 33283 997486.5381 863760 -7% BAI1 172580 18362 209304.1828 176160 2% BAI2 26390 1354 29097.71737 26240 -1% BAI3 18040 758 19555.07976 18460 2% CCRL2 15090 402 15893.6583 13840 -8% CMKLR2 30080 1744 33568.954 28240 -6% DARC 119110 4817 128743.8016 126260 6% EBI2 101200 6004 113207.8197 105640 4% GHSR1B 3940 203 4345.298244 3700 -6% GPR101 41740 1593 44926.97349 41580 0% GPR103 21413 1484 24381.25067 23920 12% NO GPR107 366800 11007 388814.4922 360020 -2% GPR12 77980 1563 81105.4653 76260 -2% GPR123 1485190 46446 1578081.986 1342640 -10% GPR132 860940 17473 895885.901 826560 -4% GPR135 18720 1656 22032.6827 17540 -6% GPR137 40973 2285 45544.0809 39140 -4% GPR139 438280 16736 471751.0542 413120 -6% GPR141 30180 2080 34339.2307 29020 -4% GPR142 105250 12089 129427.069 101020 -4% GPR143 89390 5260 99910.40557 89380 0% GPR146 16860 551 17961.75617 16240 -4% GPR148 6160 484 7128.848113 7520 22% YES GPR149 50140 934 52008.76073 49720 -1% GPR15 10110 1086 12282.67884