Genetics of Interleukin 1 Receptor-Like 1 in Immune and Inflammatory Diseases
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The Development of Asthma and Atopy Reijmerink, Naomi Elizabeth
University of Groningen A search for missing pieces of the puzzle; the development of asthma and atopy Reijmerink, Naomi Elizabeth IMPORTANT NOTE: You are advised to consult the publisher's version (publisher's PDF) if you wish to cite from it. Please check the document version below. Document Version Publisher's PDF, also known as Version of record Publication date: 2009 Link to publication in University of Groningen/UMCG research database Citation for published version (APA): Reijmerink, N. E. (2009). A search for missing pieces of the puzzle; the development of asthma and atopy: innate immunity genes and environment. [s.n.]. Copyright Other than for strictly personal use, it is not permitted to download or to forward/distribute the text or part of it without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license (like Creative Commons). Take-down policy If you believe that this document breaches copyright please contact us providing details, and we will remove access to the work immediately and investigate your claim. Downloaded from the University of Groningen/UMCG research database (Pure): http://www.rug.nl/research/portal. For technical reasons the number of authors shown on this cover page is limited to 10 maximum. Download date: 26-09-2021 Chapter 3 Association of IL1RL1, IL18R1 and IL18RAP gene cluster polymorphisms with asthma and atopy Naomi E. Reijmerink Dirkje S. Postma Marcel Bruinenberg Ilja M. Nolte Deborah A. Meyers Eugene R. Bleecker Gerard H. Koppelman J Allergy Clin Immunol. 2008 Sep;122(3):651-4. -
Interleukin-18 As a Therapeutic Target in Acute Myocardial Infarction and Heart Failure
Interleukin-18 as a Therapeutic Target in Acute Myocardial Infarction and Heart Failure Laura C O’Brien,1 Eleonora Mezzaroma,2,3,4 Benjamin W Van Tassell,2,3,4 Carlo Marchetti,2,3 Salvatore Carbone,2,3 Antonio Abbate,1,2,3 and Stefano Toldo2,3 1Department of Physiology and Biophysics, 2Victoria Johnson Research Laboratories, and 3Virginia Commonwealth University Pauley Heart Center, School of Medicine, and 4Pharmacotherapy and Outcome Sciences, School of Pharmacy, Virginia Commonwealth University, Richmond, Virginia, United States of America Interleukin 18 (IL-18) is a proinflammatory cytokine in the IL-1 family that has been implicated in a number of disease states. In animal models of acute myocardial infarction (AMI), pressure overload, and LPS-induced dysfunction, IL-18 regulates cardiomy- ocyte hypertrophy and induces cardiac contractile dysfunction and extracellular matrix remodeling. In patients, high IL-18 levels correlate with increased risk of developing cardiovascular disease (CVD) and with a worse prognosis in patients with established CVD. Two strategies have been used to counter the effects of IL-18:IL-18 binding protein (IL-18BP), a naturally occurring protein, and a neutralizing IL-18 antibody. Recombinant human IL-18BP (r-hIL-18BP) has been investigated in animal studies and in phase I/II clinical trials for psoriasis and rheumatoid arthritis. A phase II clinical trial using a humanized monoclonal IL-18 antibody for type 2 diabetes is ongoing. Here we review the literature regarding the role of IL-18 in AMI and heart failure and the evidence and challenges of using IL-18BP and blocking IL-18 antibodies as a therapeutic strategy in patients with heart disease. -
Biomarker Quantitation Assay Guide
Biomarker quantitation assay guide Quantitate protein: ELISA l Antibody pairs l ProQuantum HS immunoassays l ProcartaPlex immunoassays Quantitate mRNA: QuantiGene multiplexed gene expression assays Our Invitrogen™ portfolio offers a variety of assays for quantitation of single proteins and mRNA, as well as mix-and-match and ready-to-use panels for correlated multiplexing using the Luminex® platform. Our extensive portfolio of assays includes: • ELISA and antibody pair kits • ProQuantum™ high-sensitivity immunoassay kits • ProcartaPlex™ multiplex immunoassay kits • QuantiGene™ Plex gene expression assays Additionally, Thermo Fisher Scientific supports your quantitation assay needs with accessory reagents and instruments for a comprehensive offering. Use this guide to help identify your needs, and then contact your sales representative if you have questions or go to thermofisher.com/quantitatebiomarkers Contents Biomarker background 4 Biomarker quantitation assay platforms 7 Single-analyte quantitation ELISA kits 9 Antibody pair kits 11 ProQuantum high-sensitivity immunoassay kits 12 Accessory reagents and equipment 14 Multianalyte quantitation Luminex xMAP technology 17 ProcartaPlex multiplex immunoassay kits 19 ProcartaPlex high-sensitivity immunoassay kits 27 ProcartaPlex Platinum immunoassay kits 28 Custom assay development service 30 Multiplexed gene expression assays 32 QuantiGene Plex assays 32 Additional gene expression solutions 38 Comprehensive immunoassay product listing 40 Biomarker background Highly referenced kits you can -
The Relevance of Clinical, Genetic and Serological Markers
AUTREV-01901; No of Pages 18 Autoimmunity Reviews xxx (2016) xxx–xxx Contents lists available at ScienceDirect Autoimmunity Reviews journal homepage: www.elsevier.com/locate/autrev Review Cardiovascular risk assessment in patients with rheumatoid arthritis: The relevance of clinical, genetic and serological markers Raquel López-Mejías a, Santos Castañeda b, Carlos González-Juanatey c,AlfonsoCorralesa, Iván Ferraz-Amaro d, Fernanda Genre a, Sara Remuzgo-Martínez a, Luis Rodriguez-Rodriguez e, Ricardo Blanco a,JavierLlorcaf, Javier Martín g, Miguel A. González-Gay a,h,i,⁎ a Epidemiology, Genetics and Atherosclerosis Research Group on Systemic Inflammatory Diseases, Rheumatology Division, IDIVAL, Santander, Spain b Division of Rheumatology, Hospital Universitario la Princesa, IIS-IPrincesa, Madrid, Spain c Division of Cardiology, Hospital Lucus Augusti, Lugo, Spain d Rheumatology Division, Hospital Universitario de Canarias, Santa Cruz de Tenerife, Spain e Division of Rheumatology, Hospital Clínico San Carlos, Madrid, Spain f Division of Epidemiology and Computational Biology, School of Medicine, University of Cantabria, and CIBER Epidemiología y Salud Pública (CIBERESP), IDIVAL, Santander, Spain g Institute of Parasitology and Biomedicine López-Neyra, IPBLN-CSIC, Granada, Spain h School of Medicine, University of Cantabria, Santander, Spain i Cardiovascular Pathophysiology and Genomics Research Unit, School of Physiology, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa article info abstract Article history: Cardiovascular disease (CV) is the most common cause of premature mortality in patients with rheumatoid ar- Received 7 July 2016 thritis (RA). This is the result of an accelerated atherosclerotic process. Adequate CV risk stratification has special Accepted 9 July 2016 relevance in RA to identify patients at risk of CV disease. -
How Relevant Are Bone Marrow-Derived Mast Cells (Bmmcs) As Models for Tissue Mast Cells? a Comparative Transcriptome Analysis of Bmmcs and Peritoneal Mast Cells
cells Article How Relevant Are Bone Marrow-Derived Mast Cells (BMMCs) as Models for Tissue Mast Cells? A Comparative Transcriptome Analysis of BMMCs and Peritoneal Mast Cells 1, 2, 1 1 2,3 Srinivas Akula y , Aida Paivandy y, Zhirong Fu , Michael Thorpe , Gunnar Pejler and Lars Hellman 1,* 1 Department of Cell and Molecular Biology, Uppsala University, The Biomedical Center, Box 596, SE-751 24 Uppsala, Sweden; [email protected] (S.A.); [email protected] (Z.F.); [email protected] (M.T.) 2 Department of Medical Biochemistry and Microbiology, Uppsala University, The Biomedical Center, Box 589, SE-751 23 Uppsala, Sweden; [email protected] (A.P.); [email protected] (G.P.) 3 Department of Anatomy, Physiology and Biochemistry, Swedish University of Agricultural Sciences, Box 7011, SE-75007 Uppsala, Sweden * Correspondence: [email protected]; Tel.: +46-(0)18-471-4532; Fax: +46-(0)18-471-4862 These authors contributed equally to this work. y Received: 29 July 2020; Accepted: 16 September 2020; Published: 17 September 2020 Abstract: Bone marrow-derived mast cells (BMMCs) are often used as a model system for studies of the role of MCs in health and disease. These cells are relatively easy to obtain from total bone marrow cells by culturing under the influence of IL-3 or stem cell factor (SCF). After 3 to 4 weeks in culture, a nearly homogenous cell population of toluidine blue-positive cells are often obtained. However, the question is how relevant equivalents these cells are to normal tissue MCs. By comparing the total transcriptome of purified peritoneal MCs with BMMCs, here we obtained a comparative view of these cells. -
Proteomic Bioprofiles and Mechanistic Pathways of Progression to Heart Failure: the HOMAGE Study
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by Enlighten Ferreira, J. P. et al. (2019) Proteomic bioprofiles and mechanistic pathways of progression to heart failure: the HOMAGE study. Circulation, 12(5), e005897. (doi:10.1161/CIRCHEARTFAILURE.118.005897) This is the author’s final accepted version. There may be differences between this version and the published version. You are advised to consult the publisher’s version if you wish to cite from it. http://eprints.gla.ac.uk/186516/ Deposited on: 13 May 2019 Enlighten – Research publications by members of the University of Glasgow http://eprints.gla.ac.uk Proteomic Bioprofiles and Mechanistic Pathways of Progression to Heart Failure: the HOMAGE (Heart OMics in AGEing) study João Pedro Ferreira, MD, PhD1,2* & Job Verdonschot, MD3,4*; Timothy Collier, PhD5; Ping Wang, PhD4; Anne Pizard, PhD1,6; Christian Bär, MD, PhD7; Jens Björkman, PhD8; Alessandro Boccanelli, MD9; Javed Butler, MD, PhD10; Andrew Clark, MD, PhD11; John G. Cleland, MD, PhD12,13; Christian Delles, MD, PhD14; Javier Diez, MD, PhD15,16,17,18; Nicolas Girerd, MD, PhD1; Arantxa González, MD, PhD15,16,17; Mark Hazebroek, MD, PhD3; Anne-Cécile Huby, PhD1; Wouter Jukema, MD, PhD19; Roberto Latini, MD, PhD20; Joost Leenders, MD, PhD21; Daniel Levy, MD, PhD22,23; Alexandre Mebazaa, MD, PhD24; Harald Mischak, MD, PhD25; Florence Pinet, MD, PhD26; Patrick Rossignol, MD, PhD1; Naveed Sattar, MD, PhD27; Peter Sever, MD, PhD28; Jan A. Staessen, MD, PhD29,30; Thomas Thum, MD, PhD7,31; Nicolas Vodovar, PhD24; Zhen-Yu Zhang, MD29; Stephane Heymans, MD, PhD3,32,33** & Faiez Zannad, MD, PhD1** *co-first authors **co-last authors 1 Université de Lorraine, Inserm, Centre d’Investigations Cliniques- Plurithématique 14-33, and Inserm U1116, CHRU, F-CRIN INI-CRCT (Cardiovascular and Renal Clinical Trialists), Nancy, France. -
Comprehensive Association Study of Genetic Variants in the IL-1 Gene Family in Systemic Juvenile Idiopathic Arthritis
Genes and Immunity (2008) 9, 349–357 & 2008 Nature Publishing Group All rights reserved 1466-4879/08 $30.00 www.nature.com/gene ORIGINAL ARTICLE Comprehensive association study of genetic variants in the IL-1 gene family in systemic juvenile idiopathic arthritis CJW Stock1, EM Ogilvie1, JM Samuel1, M Fife1, CM Lewis2 and P Woo1 1Centre for Paediatric and Adolescent Rheumatology, Windeyer Institute for Medical Sciences, University College London, London, UK and 2Guy’s, Kings and St Thomas’ School of Medicine, London, UK Patients with systemic juvenile idiopathic arthritis (sJIA) have a characteristic daily spiking fever and elevated levels of inflammatory cytokines. Members of the interleukin-1 (IL-1) gene family have been implicated in various inflammatory and autoimmune diseases, and treatment with the IL-1 receptor antagonist, Anakinra, shows remarkable improvement in some patients. This work describes the most comprehensive investigation to date of the involvement of the IL-1 gene family in sJIA. A two-stage case–control association study was performed to investigate the two clusters of IL-1 family genes using a tagging single nucleotide polymorphism (SNP) approach. Genotyping data of 130 sJIA patients and 151 controls from stage 1 highlighted eight SNPs in the IL1 ligand cluster region and two SNPs in the IL1 receptor cluster region as showing a significant frequency difference between the populations. These 10 SNPs were typed in an additional 105 sJIA patients and 184 controls in stage 2. Meta-analysis of the genotypes from both stages showed that three IL1 ligand cluster SNPs (rs6712572, rs2071374 and rs1688075) and one IL1 receptor cluster SNP (rs12712122) show evidence of significant association with sJIA. -
The Interleukin-18 Receptor Is Differentially Expressed in Whole
1 The interleukin-18 receptor is differentially expressed in the blood during sepsis. 2 3 Shahan Mamoor, MS1 4 [email protected] East Islip, NY, USA 5 6 We probed published and public microarray datasets1,2 to discover the most significant gene expression changes in the blood of patients with sepsis. We found significant induction 7 expression of IL18RAP and IL18R1, genes encoding subunits of the interleukin-18 receptor, in 8 whole blood from patients with sepsis. 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 Keywords: sepsis, septic shock, interleukin-18, IL18R1, IL18RAP, systems biology of septic 26 shock. 27 28 PAGE 1 OF 13 1 Septic shock is a leading cause of mortality in the United States and worldwide3. We 2 used published and public microarray datasets1,2 to identify differentially expressed genes in the 3 4 blood of patients with sepsis. We identified IL18R1 and IL18RAP as among the genes most 5 differentially expressed in blood in the septic state. 6 7 Methods 8 9 We utilized microarray datasets GSE1001591 and GSE264402 for this differential gene 10 11 expression analysis of blood cells during sepsis. GSE100509 was generated with whole blood 12 using Illumina HumanWG-6 v3.0 expression beadchip technology with n=12 whole blood from 13 control subjects and n=33 whole blood from sepsis patients. GSE26440 was generated using 14 15 Affymetrix Human Genome U133 Plus 2.0 Array technology with n=32 control subjects and 16 n=98 sepsis patients. The Benjamini and Hochberg method of p-value adjustment was used for 17 ranking of differential expression but raw p-values were used for assessment of statistical 18 19 significance of global differential expression. -
Regnase-1 Degradation Is Crucial for IL-33– and IL-25–Mediated ILC2 Activation
Regnase-1 degradation is crucial for IL-33– and IL-25–mediated ILC2 activation Kazufumi Matsushita, … , Shizuo Akira, Tomohiro Yoshimoto JCI Insight. 2020;5(4):e131480. https://doi.org/10.1172/jci.insight.131480. Research Article Immunology Graphical abstract Find the latest version: https://jci.me/131480/pdf RESEARCH ARTICLE Regnase-1 degradation is crucial for IL-33– and IL-25–mediated ILC2 activation Kazufumi Matsushita,1,2 Hiroki Tanaka,3,4 Koubun Yasuda,2 Takumi Adachi,2 Ayumi Fukuoka,2 Shoko Akasaki,1 Atsuhide Koida,2 Etsushi Kuroda,2 Shizuo Akira,3,4 and Tomohiro Yoshimoto1,2 1Laboratory of Allergic Diseases, Institute for Advanced Medical Sciences, and 2Department of Immunology, Hyogo College of Medicine, Nishinomiya, Hyogo, Japan. 3Laboratory of Host Defense, World Premier International Immunology Frontier Research Center, and 4Department of Host Defense, Research Institute for Microbial Diseases, Osaka University, Suita, Osaka, Japan. Group 2 innate lymphoid cells (ILC2s) are a critical innate source of type 2 cytokines in allergic inflammation. Although ILC2s are recognized as a critical cell population in the allergic inflammation, the regulatory mechanism(s) of ILC2s are less well understood. Here, we show that Regnase-1, an immune regulatory RNAse that degrades inflammatory mRNAs, negatively regulates ILC2 function and that IκB kinase (IKK) complex–mediated Regnase-1 degradation is essential for IL-33– and IL-25–induced ILC2 activation. ILC2s from Regnase-1AA/AA mice expressing a Regnase-1 S435A/S439A mutant resistant to IKK complex–mediated degradation accumulated Regnase-1 protein in response to IL-33 and IL-25. IL-33– and IL-25–stimulated Regnase-1AA/AA ILC2s showed reduced cell proliferation and type 2 cytokine (IL-5, IL-9, and IL-13) production and increased cell death. -
Single-Cell Analysis of Crohn's Disease Lesions Identifies
bioRxiv preprint doi: https://doi.org/10.1101/503102; this version posted December 20, 2018. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. Single-cell analysis of Crohn’s disease lesions identifies a pathogenic cellular module associated with resistance to anti-TNF therapy JC Martin1,2,3, G Boschetti1,2,3, C Chang1,2,3, R Ungaro4, M Giri5, LS Chuang5, S Nayar5, A Greenstein6, M. Dubinsky7, L Walker1,2,5,8, A Leader1,2,3, JS Fine9, CE Whitehurst9, L Mbow9, S Kugathasan10, L.A. Denson11, J.Hyams12, JR Friedman13, P Desai13, HM Ko14, I Laface1,2,8, Guray Akturk1,2,8, EE Schadt15,16, S Gnjatic1,2,8, A Rahman1,2,5,8, , M Merad1,2,3,8,17,18*, JH Cho5,17,*, E Kenigsberg1,15,16,17* 1 Precision Immunology Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA. 2 Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA. 3 Department of Oncological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA. 4 The Dr. Henry D. Janowitz Division of Gastroenterology, Icahn School of Medicine at Mount Sinai, New York City, NY 10029, USA. 5 Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA. 6 Department of Colorectal Surgery, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA 7 Department of Pediatrics, Susan and Leonard Feinstein IBD Clinical Center, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA. -
Evolutionary Divergence and Functions of the Human Interleukin (IL) Gene Family Chad Brocker,1 David Thompson,2 Akiko Matsumoto,1 Daniel W
UPDATE ON GENE COMPLETIONS AND ANNOTATIONS Evolutionary divergence and functions of the human interleukin (IL) gene family Chad Brocker,1 David Thompson,2 Akiko Matsumoto,1 Daniel W. Nebert3* and Vasilis Vasiliou1 1Molecular Toxicology and Environmental Health Sciences Program, Department of Pharmaceutical Sciences, University of Colorado Denver, Aurora, CO 80045, USA 2Department of Clinical Pharmacy, University of Colorado Denver, Aurora, CO 80045, USA 3Department of Environmental Health and Center for Environmental Genetics (CEG), University of Cincinnati Medical Center, Cincinnati, OH 45267–0056, USA *Correspondence to: Tel: þ1 513 821 4664; Fax: þ1 513 558 0925; E-mail: [email protected]; [email protected] Date received (in revised form): 22nd September 2010 Abstract Cytokines play a very important role in nearly all aspects of inflammation and immunity. The term ‘interleukin’ (IL) has been used to describe a group of cytokines with complex immunomodulatory functions — including cell proliferation, maturation, migration and adhesion. These cytokines also play an important role in immune cell differentiation and activation. Determining the exact function of a particular cytokine is complicated by the influence of the producing cell type, the responding cell type and the phase of the immune response. ILs can also have pro- and anti-inflammatory effects, further complicating their characterisation. These molecules are under constant pressure to evolve due to continual competition between the host’s immune system and infecting organisms; as such, ILs have undergone significant evolution. This has resulted in little amino acid conservation between orthologous proteins, which further complicates the gene family organisation. Within the literature there are a number of overlapping nomenclature and classification systems derived from biological function, receptor-binding properties and originating cell type. -
Development and Validation of a Protein-Based Risk Score for Cardiovascular Outcomes Among Patients with Stable Coronary Heart Disease
Supplementary Online Content Ganz P, Heidecker B, Hveem K, et al. Development and validation of a protein-based risk score for cardiovascular outcomes among patients with stable coronary heart disease. JAMA. doi: 10.1001/jama.2016.5951 eTable 1. List of 1130 Proteins Measured by Somalogic’s Modified Aptamer-Based Proteomic Assay eTable 2. Coefficients for Weibull Recalibration Model Applied to 9-Protein Model eFigure 1. Median Protein Levels in Derivation and Validation Cohort eTable 3. Coefficients for the Recalibration Model Applied to Refit Framingham eFigure 2. Calibration Plots for the Refit Framingham Model eTable 4. List of 200 Proteins Associated With the Risk of MI, Stroke, Heart Failure, and Death eFigure 3. Hazard Ratios of Lasso Selected Proteins for Primary End Point of MI, Stroke, Heart Failure, and Death eFigure 4. 9-Protein Prognostic Model Hazard Ratios Adjusted for Framingham Variables eFigure 5. 9-Protein Risk Scores by Event Type This supplementary material has been provided by the authors to give readers additional information about their work. Downloaded From: https://jamanetwork.com/ on 10/02/2021 Supplemental Material Table of Contents 1 Study Design and Data Processing ......................................................................................................... 3 2 Table of 1130 Proteins Measured .......................................................................................................... 4 3 Variable Selection and Statistical Modeling ........................................................................................