42 results on '"Carl S, Goodyear"'
Search Results
2. Targeting 3D chromosomal architecture at the RANK loci to suppress myeloma-driven osteoclastogenesis
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Katja Thümmler, Mark TS Williams, Susan Kitson, Shatakshi Sood, Moeed Akbar, John J Cole, Ewan Hunter, Richard Soutar, and Carl S Goodyear
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Oncology ,Osteogenesis ,Immunology ,Receptors, IgG ,Tumor Microenvironment ,Immunology and Allergy ,Humans ,Osteoclasts ,Cell Differentiation ,Multiple Myeloma - Abstract
Bone disease represents a major cause of morbidity and mortality in Multiple Myeloma (MM); primarily driven by osteoclasts whose differentiation is dependent on expression of RANKL by MM cells. Notably, costimulation by ITAM containing receptors (i.e., FcγR) can also play a crucial role in osteoclast differentiation. Modeling the pathology of the bone marrow microenvironment with an ex vivo culture system of primary human multiple myeloma cells, we herein demonstrate that FcγR-mediated signaling, via staphylococcal protein A (SpA) IgG immune-complexes, can act as a critical negative regulator of MM-driven osteoclast differentiation. Interrogation of the mode-of-action revealed that FcγR-mediated signaling causes epigenetic modulation of chromosomal 3D architecture at the RANK promoter; with altered spatial orientation of a proximal super enhancer. Combined this leads to substantial down-regulation of RANK at a transcript, protein, and functional level. These observations shed light on a novel mechanism regulating RANK expression and provide a rationale for targeting FcγR-signaling for the amelioration of osteolytic bone pathology in disease.
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- 2022
3. TNF is a homoeostatic regulator of distinct epigenetically primed human osteoclast precursors
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John J. Cole, C Ansalone, Sabarinadh Chilaka, Jamie Robertson, Flavia Sunzini, Stefan Siebert, Iain B. McInnes, Carl S. Goodyear, and Shatakshi Sood
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0301 basic medicine ,Myeloid ,Receptor expression ,Immunology ,Population ,Osteoclasts ,Rheumatoid Arthritis ,General Biochemistry, Genetics and Molecular Biology ,Arthritis, Rheumatoid ,03 medical and health sciences ,0302 clinical medicine ,Rheumatology ,Osteoclast ,Osteogenesis ,medicine ,Immunology and Allergy ,Homeostasis ,Humans ,Epigenetics ,Receptor ,education ,030203 arthritis & rheumatology ,education.field_of_study ,business.industry ,Tumor Necrosis Factor-alpha ,Monocyte ,RANK Ligand ,tumour necrosis factors ,Cell Differentiation ,cytokines ,030104 developmental biology ,medicine.anatomical_structure ,arthritis ,Cancer research ,Tumor necrosis factor alpha ,business - Abstract
Objectives Circulating myeloid precursors are responsible for post-natal osteoclast (OC) differentiation and skeletal health, although the exact human precursors have not been defined. Enhanced osteoclastogenesis contributes to joint destruction in rheumatoid arthritis (RA) and tumour necrosis factor (TNF) is a well-known pro-osteoclastogenic factor. Herein, we investigated the interplay between receptor activator of nuclear factor kappa-Β ligand (RANK-L), indispensable for fusion of myeloid precursors and the normal development of OCs, and TNF in directing the differentiation of diverse pre-OC populations derived from human peripheral blood. Methods Flow cytometric cell sorting and analysis was used to assess the potential of myeloid populations to differentiate into OCs. Transcriptomic, epigenetic analysis, receptor expression and inhibitor experiments were used to unravel RANK-L and TNF signalling hierarchy. Results TNF can act as a critical homoeostatic regulator of CD14+ monocyte (MO) differentiation into OCs by inhibiting osteoclastogenesis to favour macrophage development. In contrast, a distinct previously unidentified CD14−CD16−CD11c+ myeloid pre-OC population was exempt from this negative regulation. In healthy CD14+ MOs, TNF drove epigenetic modification of the RANK promoter via a TNFR1-IKKβ-dependent pathway and halted osteoclastogenesis. In a subset of patients with RA, CD14+ MOs exhibited an altered epigenetic state that resulted in dysregulated TNF-mediated OC homoeostasis. Conclusions These findings fundamentally re-define the relationship between RANK-L and TNF. Moreover, they have identified a novel pool of human circulating non-MO OC precursors that unlike MOs are epigenetically preconditioned to ignore TNF-mediated signalling. In RA, this epigenetic preconditioning occurs in the MO compartment providing a pathological consequence of failure of this pathway.
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- 2021
4. JAK inhibitors disrupt T cell-induced proinflammatory macrophage activation
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Mukanthu H Nyirenda, Jagtar Singh Nijjar, Marina Frleta-Gilchrist, Derek S Gilchrist, Duncan Porter, Stefan Siebert, Carl S Goodyear, and Iain B McInnes
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Rheumatology ,Immunology ,Immunology and Allergy - Abstract
ObjectivesMacrophage subsets, activated by T cells, are increasingly recognised to play a central role in rheumatoid arthritis (RA) pathogenesis. Janus kinase (JAK) inhibitors have proven beneficial clinical effects in RA. In this study, we investigated the effect of JAK inhibitors on the generation of cytokine-activated T (Tck) cells and the production of cytokines and chemokines induced by Tck cell/macrophage interactions.MethodsCD14+monocytes and CD4+T cells were purified from peripheral blood mononuclear cells from buffy coats of healthy donors. As representative JAK inhibitors, tofacitinib or ruxolitinib were added during Tck cell differentiation. Previously validated protocols were used to generate macrophages and Tck cells from monocytes and CD4+T cells, respectively. Cytokine and chemokine including TNF, IL-6, IL-15, IL-RA, IL-10, MIP1α, MIP1β and IP10 were measured by ELISA.ResultsJAK inhibitors prevented cytokine-induced maturation of Tck cells and decreased the production of proinflammatory cytokines TNF, IL-6, IL-15, IL-1RA and the chemokines IL-10, MIP1α, MIP1β, IP10 by Tck cell-activated macrophages in vitro (pConclusionsOur findings show that JAK inhibition disrupts T cell-induced macrophage activation and reduces downstream proinflammatory cytokine and chemokine responses, suggesting that suppressing the T cell-macrophage interaction contributes to the therapeutic effect of JAK inhibitors.
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- 2023
5. Annexin-A1: The culprit or the solution?
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Lauren Kelly, Sarah McGrath, Lewis Rodgers, Kathryn McCall, Aysin Tulunay Virlan, Fiona Dempsey, Scott Crichton, and Carl S. Goodyear
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Inflammation ,Mice ,T-Lymphocytes ,Immunology ,Anti-Inflammatory Agents ,Immunology and Allergy ,Animals ,Humans ,Adaptive Immunity ,Receptors, Formyl Peptide ,Annexin A1 - Abstract
Annexin-A1 has a well-defined anti-inflammatory role in the innate immune system, but its function in adaptive immunity remains controversial. This glucocorticoid-induced protein has been implicated in a range of inflammatory conditions and cancers, as well as being found to be overexpressed on the T cells of patients with autoimmune disease. Moreover, the formyl peptide family of receptors, through which annexin-A1 primarily signals, has also been implicated in these diseases. In contrast, treatment with recombinant annexin-A1 peptides resulted in suppression of inflammatory processes in murine models of inflammation. This review will focus on what is currently known about annexin-A1 in health and disease and discuss the potential of this protein as a biomarker and therapeutic target.
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- 2021
6. Precision medicine in psoriatic arthritis: how should we select targeted therapies?
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Hussein Al-Mossawi, Carl S. Goodyear, Laura C. Coates, Stefan Siebert, Leonie S. Taams, Iain B. McInnes, and Bruce Kirkham
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medicine.medical_specialty ,business.industry ,Inflammatory arthritis ,Optimal treatment ,Immunology ,Treatment options ,medicine.disease ,Precision medicine ,Psoriatic arthritis ,Rheumatology ,Psoriasis ,medicine ,Immunology and Allergy ,Manifest variable ,Stage (cooking) ,Intensive care medicine ,business - Abstract
Summary Psoriatic arthritis (PsA) is a heterogeneous inflammatory arthritis associated with psoriasis. Patients manifest variable presentations with potential involvement of peripheral joints, spine, tendons, skin, and nails. There has been a rapid expansion in targeted treatment options for patients with PsA, but typically less than half of those who receive therapy achieve optimal treatment targets. Many patients respond to second-line or third-line biological therapies, but little evidence exists to guide the choice of therapeutics for each individual. At present, choice of therapy is driven by active clinical disease domains, clinician familiarity with existing treatments, and cost. Here, we review recent data that highlight the potential for personalised, or precision, medicine in PsA and other forms of inflammatory arthritis, noting that this research is still at a preliminary stage. In the future, a combination of detailed immunophenotyping and sophisticated statistical analyses should help to facilitate a personalised medicine approach in PsA, following examples from other clinical areas, such as oncology. This change in approach to the treatment of PsA has the potential to maximise outcomes for patients and to provide optimal therapies without delay.
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- 2019
7. Guidelines for the use of flow cytometry and cell sorting in immunological studies (second edition)
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Lara Gibellini, Sussan Nourshargh, Susanna Cardell, Wlodzimierz Maslinski, Mar Felipo-Benavent, Florian Mair, Hans-Martin Jäck, Lilly Lopez, Klaus Warnatz, John Trowsdale, Diana Ordonez, Marcus Eich, William Hwang, Anne Cooke, Dirk Mielenz, Alberto Orfao, Winfried F. Pickl, Vladimir Benes, Alice Yue, T. Vincent Shankey, Maria Tsoumakidou, Virginia Litwin, Gelo Victoriano Dela Cruz, Andrea Cavani, Sara De Biasi, Larissa Nogueira Almeida, Jonathan J M Landry, Claudia Haftmann, Charlotte Esser, Ana Cumano, Anneke Wilharm, Francesco Dieli, Rudi Beyaert, Alessio Mazzoni, Burkhard Ludewig, Carlo Pucillo, Dirk H. Busch, Joe Trotter, Stipan Jonjić, Marc Veldhoen, Josef Spidlen, Aja M. Rieger, Dieter Adam, Srijit Khan, Todd A. Fehniger, Giuseppe Matarese, Maximilien Evrard, Christian Maueröder, Steffen Schmitt, Kristin A. Hogquist, Barry Moran, Raghavendra Palankar, Markus Feuerer, S Schmid, Susann Rahmig, Amy E. Lovett-Racke, James V. Watson, Megan K. Levings, Susanne Melzer, Dinko Pavlinic, Christopher M. Harpur, Christina Stehle, A. Graham Pockley, Toshinori Nakayama, Attila Tárnok, Juhao Yang, Michael Lohoff, Paulo Vieira, Francisco Sala-de-Oyanguren, Christian Kurts, Anastasia Gangaev, Alfonso Blanco, Hans Scherer, Regine J. Dress, Bruno Silva-Santos, Kiyoshi Takeda, Bimba F. Hoyer, Ilenia Cammarata, Daryl Grummitt, Isabel Panse, Günnur Deniz, Bianka Baying, Friederike Ebner, Esther Schimisky, Leo Hansmann, Thomas Kamradt, Edwin van der Pol, Daniel Scott-Algara, Anna Iannone, Giorgia Alvisi, Sebastian R. Schulz, Francesco Liotta, Irmgard Förster, Beatriz Jávega, Hans-Peter Rahn, Caetano Reis e Sousa, Livius Penter, Xuetao Cao, David P. Sester, Keisuke Goda, Peter Wurst, Iain B. McInnes, Ricardo T. Gazzinelli, Federica Piancone, Gerald Willimsky, Yotam Raz, Pärt Peterson, Wolfgang Fritzsche, Yvonne Samstag, Martin Büscher, Thomas Schüler, Susanne Hartmann, Robert J. Wilkinson, Anna E. S. Brooks, Steven L. C. Ketelaars, Catherine Sautès-Fridman, Anna Rubartelli, Petra Bacher, Katja Kobow, Marco A. Cassatella, Andrea Hauser, Henrik E. Mei, Kilian Schober, Silvia Della Bella, Graham Anderson, Michael D. Ward, Garth Cameron, Sebastian Lunemann, Katharina Kriegsmann, Katarzyna M. Sitnik, Brice Gaudilliere, Chantip Dang-Heine, Marcello Pinti, Paul Klenerman, Frank A. Schildberg, Joana Barros-Martins, Laura G. Rico, Hanlin Zhang, Christian Münz, Thomas Dörner, Jakob Zimmermann, Andrea M. Cooper, Jonni S. Moore, Andreas Diefenbach, Yanling Liu, Wolfgang Bauer, Tobit Steinmetz, Katharina Pracht, Leonard Tan, Peter K. Jani, Alan M. Stall, Petra Hoffmann, Christine S. Falk, Jasmin Knopf, Simon Fillatreau, Hans-Dieter Volk, Luis E. Muñoz, David L. Haviland, William W. Agace, Jonathan Rebhahn, Ljiljana Cvetkovic, Mohamed Trebak, Jordi Petriz, Mario Clerici, Diether J. Recktenwald, Anders Ståhlberg, Tristan Holland, Helen M. McGuire, Sa A. Wang, Christian Kukat, Thomas Kroneis, Laura Cook, Wan Ting Kong, Xin M. Wang, Britta Engelhardt, Pierre Coulie, Genny Del Zotto, Sally A. Quataert, Kata Filkor, Gabriele Multhoff, Bartek Rajwa, Federica Calzetti, Hans Minderman, Cosima T. Baldari, Jens Geginat, Hervé Luche, Gert Van Isterdael, Linda Schadt, Sophia Urbanczyk, Giovanna Borsellino, Liping Yu, Dale I. Godfrey, Achille Anselmo, Rachael C. Walker, Andreas Grützkau, David W. Hedley, Birgit Sawitzki, Silvia Piconese, Maria Yazdanbakhsh, Burkhard Becher, Ramon Bellmas Sanz, Michael Delacher, Hyun-Dong Chang, Immanuel Andrä, Hans-Gustaf Ljunggren, José-Enrique O'Connor, Ahad Khalilnezhad, Sharon Sanderson, Federico Colombo, Götz R. A. Ehrhardt, Inga Sandrock, Enrico Lugli, Christian Bogdan, James B. Wing, Susann Müller, Tomohiro Kurosaki, Derek Davies, Ester B. M. Remmerswaal, Kylie M. Quinn, Christopher A. Hunter, Andreas Radbruch, Timothy P. Bushnell, Anna Erdei, Sabine Adam-Klages, Pascale Eede, Van Duc Dang, Rieke Winkelmann, Thomas Korn, Gemma A. Foulds, Dirk Baumjohann, Matthias Schiemann, Manfred Kopf, Jan Kisielow, Lisa Richter, Jochen Huehn, Gloria Martrus, Alexander Scheffold, Jessica G. Borger, Sidonia B G Eckle, John Bellamy Foster, Anna Katharina Simon, Alicia Wong, Mübeccel Akdis, Gisa Tiegs, Toralf Kaiser, James McCluskey, Anna Vittoria Mattioli, Aaron J. Marshall, Hui-Fern Koay, Eva Orlowski-Oliver, Anja E. Hauser, J. Paul Robinson, Jay K. Kolls, Luca Battistini, Mairi McGrath, Jane L. Grogan, Natalio Garbi, Timothy Tree, Kingston H. G. Mills, Stefan H. E. Kaufmann, Wolfgang Schuh, Ryan R. Brinkman, Tim R. Mosmann, Vincenzo Barnaba, Andreas Dolf, Lorenzo Cosmi, Bo Huang, Andreia C. Lino, Baerbel Keller, René A. W. van Lier, Alexandra J. Corbett, Paul S. Frenette, Pleun Hombrink, Helena Radbruch, Sofie Van Gassen, Olivier Lantz, Lorenzo Moretta, Désirée Kunkel, Kirsten A. Ward-Hartstonge, Armin Saalmüller, Leslie Y. T. Leung, Salvador Vento-Asturias, Paola Lanuti, Alicia Martínez-Romero, Sarah Warth, Zhiyong Poon, Diana Dudziak, Andrea Cossarizza, Kovit Pattanapanyasat, Konrad von Volkmann, Jessica P. Houston, Agnès Lehuen, Andrew Filby, Pratip K. Chattopadhyay, Stefano Casola, Annika Wiedemann, Hannes Stockinger, Jürgen Ruland, Arturo Zychlinsky, Claudia Waskow, Katrin Neumann, Ari Waisman, Lucienne Chatenoud, Sudipto Bari, Kamran Ghoreschi, David W. Galbraith, Yvan Saeys, Hamida Hammad, Andrea Gori, Miguel López-Botet, Gabriel Núñez, Sabine Ivison, Michael Hundemer, Dorothea Reimer, Mark C. Dessing, Günter J. Hämmerling, Rudolf A. Manz, Tomas Kalina, Jonas Hahn, Holden T. Maecker, Hendy Kristyanto, Martin S. Davey, Henning Ulrich, Michael L. Dustin, Takashi Saito, Yousuke Takahama, Milena Nasi, Johanna Huber, Jürgen Wienands, Paolo Dellabona, Andreas Schlitzer, Michael D. Leipold, Kerstin H. Mair, Christian Peth, Immo Prinz, Chiara Romagnani, José M. González-Navajas, Josephine Schlosser, Marina Saresella, Matthias Edinger, Dirk Brenner, Nicole Baumgarth, Rikard Holmdahl, Fang-Ping Huang, Guadalupe Herrera, Malte Paulsen, Gergely Toldi, Luka Cicin-Sain, Reiner Schulte, Christina E. Zielinski, Thomas Winkler, Christoph Goettlinger, Philip E. Boulais, Jennie H M Yang, Antonio Celada, Heike Kunze-Schumacher, Julia Tornack, Florian Ingelfinger, Jenny Mjösberg, Andy Riddell, Leonie Wegener, Thomas Höfer, Christoph Hess, James P. Di Santo, Anna E. Oja, J. Kühne, Willem van de Veen, Mary Bebawy, Alberto Mantovani, Bart Everts, Giovanna Lombardi, Laura Maggi, Anouk von Borstel, Pia Kvistborg, Elisabetta Traggiai, A Ochel, Nima Aghaeepour, Charles-Antoine Dutertre, Matthieu Allez, Thomas Höllt, Wenjun Ouyang, Regina Stark, Maries van den Broek, Shimon Sakaguchi, Paul K. Wallace, Silvano Sozzani, Francesca LaRosa, Annette Oxenius, Malgorzata J. Podolska, Ivana Marventano, Wilhelm Gerner, Oliver F. Wirz, Britta Frehse, Gevitha Ravichandran, Martin Herrmann, Carl S. Goodyear, Gary Warnes, Helen Ferry, Stefan Frischbutter, Tim R. Radstake, Salomé LeibundGut-Landmann, Yi Zhao, Axel Schulz, Angela Santoni, Pablo Engel, Daniela C. Hernández, Andreas Acs, Cristiano Scottà, Francesco Annunziato, Thomas Weisenburger, Wolfgang Beisker, Sue Chow, Fritz Melchers, Daniel E. Speiser, Immanuel Kwok, Florent Ginhoux, Dominic A. Boardman, Natalie Stanley, Carsten Watzl, Marie Follo, Erik Lubberts, Andreas Krueger, Susanne Ziegler, Göran K. Hansson, David Voehringer, Antonia Niedobitek, Eleni Christakou, Lai Guan Ng, Sabine Baumgart, Nicholas A Gherardin, Antonio Cosma, Orla Maguire, Jolene Bradford, Daniel Schraivogel, Linda Quatrini, Stephen D. Miller, Rheumatology, Università degli Studi di Modena e Reggio Emilia (UNIMORE), Deutsches Rheuma-ForschungsZentrum (DRFZ), Deutsches Rheuma-ForschungsZentrum, Swiss Institute of Allergy and Asthma Research (SIAF), Universität Zürich [Zürich] = University of Zurich (UZH), Institut de Recherche Saint-Louis - Hématologie Immunologie Oncologie (Département de recherche de l’UFR de médecine, ex- Institut Universitaire Hématologie-IUH) (IRSL), Université de Paris (UP), Ecotaxie, microenvironnement et développement lymphocytaire (EMily (UMR_S_1160 / U1160)), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Paris (UP), Department of Internal Medicine, Università degli Studi di Firenze = University of Florence [Firenze] (UNIFI)-DENOTHE Center, Institute of Clinical Molecular Biology, Kiel University, Department of Life Sciences [Siena, Italy], Università degli Studi di Siena = University of Siena (UNISI), Institut Pasteur, Fondation Cenci Bolognetti - Istituto Pasteur Italia, Fondazione Cenci Bolognetti, Réseau International des Instituts Pasteur (RIIP), Dulbecco Telethon Institute/Department of Biology, Caprotec Bioanalytics GmbH, International Occultation Timing Association European Section (IOTA ES), International Occultation Timing Association European Section, European Molecular Biology Laboratory [Heidelberg] (EMBL), VIB-UGent Center for Inflammation Research [Gand, Belgique] (IRC), VIB [Belgium], Fondazione Santa Lucia (IRCCS), Department of Immunology, Chinese Academy of Medical Sciences, FIRC Institute of Molecular Oncology Foundation, IFOM, Istituto FIRC di Oncologia Molecolare (IFOM), Institut Necker Enfants-Malades (INEM - UM 111 (UMR 8253 / U1151)), Université Paris Descartes - Paris 5 (UPD5)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Department of Physiopatology and Transplantation, University of Milan (DEPT), University of Milan, Monash University [Clayton], Institut des Maladies Emergentes et des Thérapies Innovantes (IMETI), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay, Institute of Cellular Pathology, Université Catholique de Louvain = Catholic University of Louvain (UCL), Lymphopoïèse (Lymphopoïèse (UMR_1223 / U1223 / U-Pasteur_4)), Institut Pasteur [Paris]-Université Paris Diderot - Paris 7 (UPD7)-Institut National de la Santé et de la Recherche Médicale (INSERM), Experimental Immunology Unit, Dept. of Oncology, DIBIT San Raffaele Scientific Institute, Immunité Innée - Innate Immunity, Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut Pasteur [Paris], Charité - UniversitätsMedizin = Charité - University Hospital [Berlin], Department of Biopharmacy [Bruxelles, Belgium] (Institute for Medical Immunology IMI), Université libre de Bruxelles (ULB), Charité Hospital, Humboldt-Universität zu Berlin, Agency for science, technology and research [Singapore] (A*STAR), Laboratory of Molecular Immunology and the Howard Hughes Institute, Rockefeller University [New York], Kennedy Institute of Rheumatology [Oxford, UK], Imperial College London, Theodor Kocher Institute, University of Bern, Leibniz Research Institute for Environmental Medicine [Düsseldorf, Germany] ( IUF), Université Lumière - Lyon 2 (UL2), Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université de Paris (UP), University of Edinburgh, Integrative Biology Program [Milano], Istituto Nazionale Genetica Molecolare [Milano] (INGM), Singapore Immunology Network (SIgN), Biomedical Sciences Institute (BMSI), Universitat de Barcelona (UB), Rheumatologie, Cell Biology, Department of medicine [Stockholm], Karolinska Institutet [Stockholm]-Karolinska University Hospital [Stockholm], Department for Internal Medicine 3, Institute for Clinical Immunology, Friedrich-Alexander Universität Erlangen-Nürnberg (FAU), Delft University of Technology (TU Delft), Medical Inflammation Research, Karolinska Institutet [Stockholm], Department of Photonics Engineering [Lyngby], Technical University of Denmark [Lyngby] (DTU), Dpt of Experimental Immunology [Braunschweig], Helmholtz Centre for Infection Research (HZI), Department of Internal Medicine V, Universität Heidelberg [Heidelberg], Department of Histology and Embryology, University of Rijeka, Freiburg University Medical Center, Nuffield Dept of Clinical Medicine, University of Oxford [Oxford]-NIHR Biomedical Research Centre, Institute of Integrative Biology, Molecular Biomedicine, Berlin Institute of Health (BIH), Laboratory for Lymphocyte Differentiation, RIKEN Research Center, Institutes of Molecular Medicine and Experimental Immunology, University of Bonn, Immunité et cancer (U932), Institut Curie [Paris]-Institut National de la Santé et de la Recherche Médicale (INSERM), Institut Cochin (IC UM3 (UMR 8104 / U1016)), Department of Surgery [Vancouver, BC, Canada] (Child and Family Research Institute), University of British Columbia (UBC)-Child and Family Research Institute [Vancouver, BC, Canada], College of Food Science and Technology [Shangai], Shanghai Ocean University, Institute for Medical Microbiology and Hygiene, University of Marburg, King‘s College London, Erasmus University Medical Center [Rotterdam] (Erasmus MC), Centre d'Immunophénomique (CIPHE), Aix Marseille Université (AMU)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Brustzentrum Kantonsspital St. Gallen, Immunotechnology Section, Vaccine Research Center, National Institutes of Health [Bethesda] (NIH)-National Institute of Allergy and Infectious Diseases, Heinrich Pette Institute [Hamburg], Università degli Studi di Firenze = University of Florence [Firenze] (UNIFI), Department of Immunology and Cell Biology, Mario Negri Institute, Laboratory of Molecular Medicine and Biotechnology, Don C. Gnocchi ONLUS Foundation, Institute of Translational Medicine, Klinik für Dermatologie, Venerologie und Allergologie, School of Biochemistry and Immunology, Department of Medicine Huddinge, Karolinska Institutet [Stockholm]-Karolinska University Hospital [Stockholm]-Lipid Laboratory, Università di Genova, Dipartimento di Medicina Sperimentale, Department of Environmental Microbiology, Helmholtz Zentrum für Umweltforschung = Helmholtz Centre for Environmental Research (UFZ), Department of Radiation Oncology [Munich], Ludwig-Maximilians-Universität München (LMU), Centre de Recherche Publique- Santé, Université du Luxembourg (Uni.lu), William Harvey Research Institute, Barts and the London Medical School, University of Michigan [Ann Arbor], University of Michigan System, Centro de Investigacion del Cancer (CSIC), Universitario de Salamanca, Molecular Pathology [Tartu, Estonia], University of Tartu, Hannover Medical School [Hannover] (MHH), Centre d'Immunologie de Marseille - Luminy (CIML), Monash Biomedicine Discovery Institute, Cytometry Laboratories and School of Veterinary Medicine, Purdue University [West Lafayette], Data Mining and Modelling for Biomedicine [Ghent, Belgium], VIB Center for Inflammation Research [Ghent, Belgium], Laboratory for Cell Signaling, RIKEN Research Center for Allergy and Immunology, RIKEN Research Center for Allergy and Immunology, Osaka University [Osaka], Università degli Studi di Roma 'La Sapienza' = Sapienza University [Rome], Centre de Recherche des Cordeliers (CRC (UMR_S_1138 / U1138)), École pratique des hautes études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Sorbonne Université (SU)-Université de Paris (UP), Institute of Medical Immunology [Berlin, Germany], FACS and Array Core Facility, Johannes Gutenberg - Universität Mainz (JGU), Otto-von-Guericke University [Magdeburg] (OVGU), SUPA School of Physics and Astronomy [University of St Andrews], University of St Andrews [Scotland]-Scottish Universities Physics Alliance (SUPA), Biologie Cellulaire des Lymphocytes - Lymphocyte Cell Biology, Institut Pasteur [Paris]-Institut National de la Santé et de la Recherche Médicale (INSERM), General Pathology and Immunology (GPI), University of Brescia, Université de Lausanne (UNIL), Terry Fox Laboratory, BC Cancer Agency (BCCRC)-British Columbia Cancer Agency Research Centre, Department of Molecular Immunology, Medizinische Universität Wien = Medical University of Vienna, Dept. Pediatric Cardiology, Universität Leipzig [Leipzig], Universitaetsklinikum Hamburg-Eppendorf = University Medical Center Hamburg-Eppendorf [Hamburg] (UKE), Center for Cardiovascular Sciences, Albany Medical College, Dept Pathol, Div Immunol, University of Cambridge [UK] (CAM), Department of Information Technology [Gent], Universiteit Gent, Department of Plant Systems Biology, Department of Plant Biotechnology and Genetics, Universiteit Gent = Ghent University [Belgium] (UGENT), Division of Molecular Immunology, Institute for Immunology, Department of Geological Sciences, University of Oregon [Eugene], Centers for Disease Control and Prevention [Atlanta] (CDC), Centers for Disease Control and Prevention, University of Colorado [Colorado Springs] (UCCS), FACS laboratory, Cancer Research, London, Cancer Research UK, Regeneration in Hematopoiesis and Animal Models of Hematopoiesis, Faculty of Medicine, Dresden University of Technology, Barbara Davis Center for Childhood Diabetes (BDC), University of Colorado Anschutz [Aurora], School of Computer and Electronic Information [Guangxi University], Guangxi University [Nanning], School of Materials Science and Engineering, Nanyang Technological University [Singapour], Max Planck Institute for Infection Biology (MPIIB), Max-Planck-Gesellschaft, Work in the laboratory of Dieter Adam is supported by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation)—Projektnummer 125440785 – SFB 877, Project B2.Petra Hoffmann, Andrea Hauser, and Matthias Edinger thank BD Biosciences®, San José, CA, USA, and SKAN AG, Bale, Switzerland for fruitful cooperation during the development, construction, and installation of the GMP‐compliant cell sorting equipment and the Bavarian Immune Therapy Network (BayImmuNet) for financial support.Edwin van der Pol and Paola Lanuti acknowledge Aleksandra Gąsecka M.D. for excellent experimental support and Dr. Rienk Nieuwland for textual suggestions. This work was supported by the Netherlands Organisation for Scientific Research – Domain Applied and Engineering Sciences (NWO‐TTW), research program VENI 15924.Jessica G Borger, Kylie M Quinn, Mairi McGrath, and Regina Stark thank Francesco Siracusa and Patrick Maschmeyer for providing data.Larissa Nogueira Almeida was supported by DFG research grant MA 2273/14‐1. Rudolf A. Manz was supported by the Excellence Cluster 'Inflammation at Interfaces' (EXC 306/2).Susanne Hartmann and Friederike Ebner were supported by the German Research Foundation (GRK 2046).Hans Minderman was supported by NIH R50CA211108.This work was funded by the Deutsche Forschungsgemeinschaft through the grant TRR130 (project P11 and C03) to Thomas H. Winkler.Ramon Bellmàs Sanz, Jenny Kühne, and Christine S. Falk thank Jana Keil and Kerstin Daemen for excellent technical support. The work was funded by the Germany Research Foundation CRC738/B3 (CSF).The work by the Mei laboratory was supported by German Research Foundation Grant ME 3644/5‐1 and TRR130 TP24, the German Rheumatism Research Centre Berlin, European Union Innovative Medicines Initiative ‐ Joint Undertaking ‐ RTCure Grant Agreement 777357, the Else Kröner‐Fresenius‐Foundation, German Federal Ministry of Education and Research e:Med sysINFLAME Program Grant 01ZX1306B and KMU‐innovativ 'InnoCyt', and the Leibniz Science Campus for Chronic Inflammation (http://www.chronische-entzuendung.org).Axel Ronald Schulz, Antonio Cosma, Sabine Baumgart, Brice Gaudilliere, Helen M. McGuire, and Henrik E. Mei thank Michael D. Leipold for critically reading the manuscript.Christian Kukat acknowledges support from the ISAC SRL Emerging Leaders program.John Trowsdale received funding from the European Research Council under the European Union's Horizon 2020 research and innovation program (Grant Agreement 695551)., European Project: 7728036(1978), Università degli Studi di Modena e Reggio Emilia = University of Modena and Reggio Emilia (UNIMORE), Université Paris Cité (UPCité), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris Cité (UPCité), Università degli Studi di Firenze = University of Florence (UniFI)-DENOTHE Center, Università degli Studi di Milano = University of Milan (UNIMI), Institut Pasteur [Paris] (IP)-Université Paris Diderot - Paris 7 (UPD7)-Institut National de la Santé et de la Recherche Médicale (INSERM), Institut Pasteur [Paris] (IP)-Institut National de la Santé et de la Recherche Médicale (INSERM), Humboldt University Of Berlin, Leibniz Research Institute for Environmental Medicine [Düsseldorf, Germany] (IUF), Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité), Danmarks Tekniske Universitet = Technical University of Denmark (DTU), Universität Heidelberg [Heidelberg] = Heidelberg University, Universitäts Klinikum Freiburg = University Medical Center Freiburg (Uniklinik), University of Oxford-NIHR Biomedical Research Centre, Universität Bonn = University of Bonn, Università degli Studi di Firenze = University of Florence (UniFI), Università degli studi di Genova = University of Genoa (UniGe), Universidad de Salamanca, Università degli Studi di Roma 'La Sapienza' = Sapienza University [Rome] (UNIROMA), École Pratique des Hautes Études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Sorbonne Université (SU)-Université Paris Cité (UPCité), Johannes Gutenberg - Universität Mainz = Johannes Gutenberg University (JGU), Otto-von-Guericke-Universität Magdeburg = Otto-von-Guericke University [Magdeburg] (OVGU), Université de Lausanne = University of Lausanne (UNIL), Universität Leipzig, Universiteit Gent = Ghent University (UGENT), HZI,Helmholtz-Zentrum für Infektionsforschung GmbH, Inhoffenstr. 7,38124 Braunschweig, Germany., Cossarizza, A., Chang, H. -D., Radbruch, A., Acs, A., Adam, D., Adam-Klages, S., Agace, W. W., Aghaeepour, N., Akdis, M., Allez, M., Almeida, L. N., Alvisi, G., Anderson, G., Andra, I., Annunziato, F., Anselmo, A., Bacher, P., Baldari, C. T., Bari, S., Barnaba, V., Barros-Martins, J., Battistini, L., Bauer, W., Baumgart, S., Baumgarth, N., Baumjohann, D., Baying, B., Bebawy, M., Becher, B., Beisker, W., Benes, V., Beyaert, R., Blanco, A., Boardman, D. A., Bogdan, C., Borger, J. G., Borsellino, G., Boulais, P. E., Bradford, J. A., Brenner, D., Brinkman, R. R., Brooks, A. E. S., Busch, D. H., Buscher, M., Bushnell, T. P., Calzetti, F., Cameron, G., Cammarata, I., Cao, X., Cardell, S. L., Casola, S., Cassatella, M. A., Cavani, A., Celada, A., Chatenoud, L., Chattopadhyay, P. K., Chow, S., Christakou, E., Cicin-Sain, L., Clerici, M., Colombo, F. S., Cook, L., Cooke, A., Cooper, A. M., Corbett, A. J., Cosma, A., Cosmi, L., Coulie, P. G., Cumano, A., Cvetkovic, L., Dang, V. D., Dang-Heine, C., Davey, M. S., Davies, D., De Biasi, S., Del Zotto, G., Dela Cruz, G. V., Delacher, M., Della Bella, S., Dellabona, P., Deniz, G., Dessing, M., Di Santo, J. P., Diefenbach, A., Dieli, F., Dolf, A., Dorner, T., Dress, R. J., Dudziak, D., Dustin, M., Dutertre, C. -A., Ebner, F., Eckle, S. B. G., Edinger, M., Eede, P., Ehrhardt, G. R. A., Eich, M., Engel, P., Engelhardt, B., Erdei, A., Esser, C., Everts, B., Evrard, M., Falk, C. S., Fehniger, T. A., Felipo-Benavent, M., Ferry, H., Feuerer, M., Filby, A., Filkor, K., Fillatreau, S., Follo, M., Forster, I., Foster, J., Foulds, G. A., Frehse, B., Frenette, P. S., Frischbutter, S., Fritzsche, W., Galbraith, D. W., Gangaev, A., Garbi, N., Gaudilliere, B., Gazzinelli, R. T., Geginat, J., Gerner, W., Gherardin, N. A., Ghoreschi, K., Gibellini, L., Ginhoux, F., Goda, K., Godfrey, D. I., Goettlinger, C., Gonzalez-Navajas, J. M., Goodyear, C. S., Gori, A., Grogan, J. L., Grummitt, D., Grutzkau, A., Haftmann, C., Hahn, J., Hammad, H., Hammerling, G., Hansmann, L., Hansson, G., Harpur, C. M., Hartmann, S., Hauser, A., Hauser, A. E., Haviland, D. L., Hedley, D., Hernandez, D. C., Herrera, G., Herrmann, M., Hess, C., Hofer, T., Hoffmann, P., Hogquist, K., Holland, T., Hollt, T., Holmdahl, R., Hombrink, P., Houston, J. P., Hoyer, B. F., Huang, B., Huang, F. -P., Huber, J. E., Huehn, J., Hundemer, M., Hunter, C. A., Hwang, W. Y. K., Iannone, A., Ingelfinger, F., Ivison, S. M., Jack, H. -M., Jani, P. K., Javega, B., Jonjic, S., Kaiser, T., Kalina, T., Kamradt, T., Kaufmann, S. H. E., Keller, B., Ketelaars, S. L. C., Khalilnezhad, A., Khan, S., Kisielow, J., Klenerman, P., Knopf, J., Koay, H. -F., Kobow, K., Kolls, J. K., Kong, W. T., Kopf, M., Korn, T., Kriegsmann, K., Kristyanto, H., Kroneis, T., Krueger, A., Kuhne, J., Kukat, C., Kunkel, D., Kunze-Schumacher, H., Kurosaki, T., Kurts, C., Kvistborg, P., Kwok, I., Landry, J., Lantz, O., Lanuti, P., Larosa, F., Lehuen, A., LeibundGut-Landmann, S., Leipold, M. D., Leung, L. Y. T., Levings, M. K., Lino, A. C., Liotta, F., Litwin, V., Liu, Y., Ljunggren, H. -G., Lohoff, M., Lombardi, G., Lopez, L., Lopez-Botet, M., Lovett-Racke, A. E., Lubberts, E., Luche, H., Ludewig, B., Lugli, E., Lunemann, S., Maecker, H. T., Maggi, L., Maguire, O., Mair, F., Mair, K. H., Mantovani, A., Manz, R. A., Marshall, A. J., Martinez-Romero, A., Martrus, G., Marventano, I., Maslinski, W., Matarese, G., Mattioli, A. V., Maueroder, C., Mazzoni, A., Mccluskey, J., Mcgrath, M., Mcguire, H. M., Mcinnes, I. B., Mei, H. E., Melchers, F., Melzer, S., Mielenz, D., Miller, S. D., Mills, K. H. G., Minderman, H., Mjosberg, J., Moore, J., Moran, B., Moretta, L., Mosmann, T. R., Muller, S., Multhoff, G., Munoz, L. E., Munz, C., Nakayama, T., Nasi, M., Neumann, K., Ng, L. G., Niedobitek, A., Nourshargh, S., Nunez, G., O'Connor, J. -E., Ochel, A., Oja, A., Ordonez, D., Orfao, A., Orlowski-Oliver, E., Ouyang, W., Oxenius, A., Palankar, R., Panse, I., Pattanapanyasat, K., Paulsen, M., Pavlinic, D., Penter, L., Peterson, P., Peth, C., Petriz, J., Piancone, F., Pickl, W. F., Piconese, S., Pinti, M., Pockley, A. G., Podolska, M. J., Poon, Z., Pracht, K., Prinz, I., Pucillo, C. E. M., Quataert, S. A., Quatrini, L., Quinn, K. M., Radbruch, H., Radstake, T. R. D. J., Rahmig, S., Rahn, H. -P., Rajwa, B., Ravichandran, G., Raz, Y., Rebhahn, J. A., Recktenwald, D., Reimer, D., Reis e Sousa, C., Remmerswaal, E. B. M., Richter, L., Rico, L. G., Riddell, A., Rieger, A. M., Robinson, J. P., Romagnani, C., Rubartelli, A., Ruland, J., Saalmuller, A., Saeys, Y., Saito, T., Sakaguchi, S., Sala-de-Oyanguren, F., Samstag, Y., Sanderson, S., Sandrock, I., Santoni, A., Sanz, R. B., Saresella, M., Sautes-Fridman, C., Sawitzki, B., Schadt, L., Scheffold, A., Scherer, H. U., Schiemann, M., Schildberg, F. A., Schimisky, E., Schlitzer, A., Schlosser, J., Schmid, S., Schmitt, S., Schober, K., Schraivogel, D., Schuh, W., Schuler, T., Schulte, R., Schulz, A. R., Schulz, S. R., Scotta, C., Scott-Algara, D., Sester, D. P., Shankey, T. V., Silva-Santos, B., Simon, A. K., Sitnik, K. M., Sozzani, S., Speiser, D. E., Spidlen, J., Stahlberg, A., Stall, A. M., Stanley, N., Stark, R., Stehle, C., Steinmetz, T., Stockinger, H., Takahama, Y., Takeda, K., Tan, L., Tarnok, A., Tiegs, G., Toldi, G., Tornack, J., Traggiai, E., Trebak, M., Tree, T. I. M., Trotter, J., Trowsdale, J., Tsoumakidou, M., Ulrich, H., Urbanczyk, S., van de Veen, W., van den Broek, M., van der Pol, E., Van Gassen, S., Van Isterdael, G., van Lier, R. A. W., Veldhoen, M., Vento-Asturias, S., Vieira, P., Voehringer, D., Volk, H. -D., von Borstel, A., von Volkmann, K., Waisman, A., Walker, R. V., Wallace, P. K., Wang, S. A., Wang, X. M., Ward, M. D., Ward-Hartstonge, K. A., Warnatz, K., Warnes, G., Warth, S., Waskow, C., Watson, J. V., Watzl, C., Wegener, L., Weisenburger, T., Wiedemann, A., Wienands, J., Wilharm, A., Wilkinson, R. J., Willimsky, G., Wing, J. B., Winkelmann, R., Winkler, T. H., Wirz, O. F., Wong, A., Wurst, P., Yang, J. H. M., Yang, J., Yazdanbakhsh, M., Yu, L., Yue, A., Zhang, H., Zhao, Y., Ziegler, S. M., Zielinski, C., Zimmermann, J., Zychlinsky, A., UCL - SSS/DDUV - Institut de Duve, UCL - SSS/DDUV/GECE - Génétique cellulaire, Netherlands Organization for Scientific Research, German Research Foundation, European Commission, European Research Council, Repositório da Universidade de Lisboa, CCA - Imaging and biomarkers, Experimental Immunology, AII - Infectious diseases, AII - Inflammatory diseases, Biomedical Engineering and Physics, ACS - Atherosclerosis & ischemic syndromes, and Landsteiner Laboratory
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0301 basic medicine ,Consensus ,Immunology ,Consensu ,Cell Separation ,Biology ,Article ,Flow cytometry ,03 medical and health sciences ,0302 clinical medicine ,Guidelines ,Allergy and Immunology ,medicine ,Cell separation ,Immunology and Allergy ,Humans ,guidelines ,flow cytometry ,immunology ,medicine.diagnostic_test ,BIOMEDICINE AND HEALTHCARE. Basic Medical Sciences ,Cell sorting ,Flow Cytometry ,Cell selection ,Data science ,3. Good health ,030104 developmental biology ,Phenotype ,[SDV.IMM]Life Sciences [q-bio]/Immunology ,BIOMEDICINA I ZDRAVSTVO. Temeljne medicinske znanosti ,030215 immunology ,Human - Abstract
All authors: Andrea Cossarizza Hyun‐Dong Chang Andreas Radbruch Andreas Acs Dieter Adam Sabine Adam‐Klages William W. Agace Nima Aghaeepour Mübeccel Akdis Matthieu Allez Larissa Nogueira Almeida Giorgia Alvisi Graham Anderson Immanuel Andrä Francesco Annunziato Achille Anselmo Petra Bacher Cosima T. Baldari Sudipto Bari Vincenzo Barnaba Joana Barros‐Martins Luca Battistini Wolfgang Bauer Sabine Baumgart Nicole Baumgarth Dirk Baumjohann Bianka Baying Mary Bebawy Burkhard Becher Wolfgang Beisker Vladimir Benes Rudi Beyaert Alfonso Blanco Dominic A. Boardman Christian Bogdan Jessica G. Borger Giovanna Borsellino Philip E. Boulais Jolene A. Bradford Dirk Brenner Ryan R. Brinkman Anna E. S. Brooks Dirk H. Busch Martin Büscher Timothy P. Bushnell Federica Calzetti Garth Cameron Ilenia Cammarata Xuetao Cao Susanna L. Cardell Stefano Casola Marco A. Cassatella Andrea Cavani Antonio Celada Lucienne Chatenoud Pratip K. Chattopadhyay Sue Chow Eleni Christakou Luka Čičin‐Šain Mario Clerici Federico S. Colombo Laura Cook Anne Cooke Andrea M. Cooper Alexandra J. Corbett Antonio Cosma Lorenzo Cosmi Pierre G. Coulie Ana Cumano Ljiljana Cvetkovic Van Duc Dang Chantip Dang‐Heine Martin S. Davey Derek Davies Sara De Biasi Genny Del Zotto Gelo Victoriano Dela Cruz Michael Delacher Silvia Della Bella Paolo Dellabona Günnur Deniz Mark Dessing James P. Di Santo Andreas Diefenbach Francesco Dieli Andreas Dolf Thomas Dörner Regine J. Dress Diana Dudziak Michael Dustin Charles‐Antoine Dutertre Friederike Ebner Sidonia B. G. Eckle Matthias Edinger Pascale Eede Götz R.A. Ehrhardt Marcus Eich Pablo Engel Britta Engelhardt Anna Erdei Charlotte Esser Bart Everts Maximilien Evrard Christine S. Falk Todd A. Fehniger Mar Felipo‐Benavent Helen Ferry Markus Feuerer Andrew Filby Kata Filkor Simon Fillatreau Marie Follo Irmgard Förster John Foster Gemma A. Foulds Britta Frehse Paul S. Frenette Stefan Frischbutter Wolfgang Fritzsche David W. Galbraith Anastasia Gangaev Natalio Garbi Brice Gaudilliere Ricardo T. Gazzinelli Jens Geginat Wilhelm Gerner Nicholas A. Gherardin Kamran Ghoreschi Lara Gibellini Florent Ginhoux Keisuke Goda Dale I. Godfrey Christoph Goettlinger Jose M. González‐Navajas Carl S. Goodyear Andrea Gori Jane L. Grogan Daryl Grummitt Andreas Grützkau Claudia Haftmann Jonas Hahn Hamida Hammad Günter Hämmerling Leo Hansmann Goran Hansson Christopher M. Harpur Susanne Hartmann Andrea Hauser Anja E. Hauser David L. Haviland David Hedley Daniela C. Hernández Guadalupe Herrera Martin Herrmann Christoph Hess Thomas Höfer Petra Hoffmann Kristin Hogquist Tristan Holland Thomas Höllt Rikard Holmdahl Pleun Hombrink Jessica P. Houston Bimba F. Hoyer Bo Huang Fang‐Ping Huang Johanna E. Huber Jochen Huehn Michael Hundemer Christopher A. Hunter William Y. K. Hwang Anna Iannone Florian Ingelfinger Sabine M Ivison Hans‐Martin Jäck Peter K. Jani Beatriz Jávega Stipan Jonjic Toralf Kaiser Tomas Kalina Thomas Kamradt Stefan H. E. Kaufmann Baerbel Keller Steven L. C. Ketelaars Ahad Khalilnezhad Srijit Khan Jan Kisielow Paul Klenerman Jasmin Knopf Hui‐Fern Koay Katja Kobow Jay K. Kolls Wan Ting Kong Manfred Kopf Thomas Korn Katharina Kriegsmann Hendy Kristyanto Thomas Kroneis Andreas Krueger Jenny Kühne Christian Kukat Désirée Kunkel Heike Kunze‐Schumacher Tomohiro Kurosaki Christian Kurts Pia Kvistborg Immanuel Kwok Jonathan Landry Olivier Lantz Paola Lanuti Francesca LaRosa Agnès Lehuen Salomé LeibundGut‐Landmann Michael D. Leipold Leslie Y.T. Leung Megan K. Levings Andreia C. Lino Francesco Liotta Virginia Litwin Yanling Liu Hans‐Gustaf Ljunggren Michael Lohoff Giovanna Lombardi Lilly Lopez Miguel López‐Botet Amy E. Lovett‐Racke Erik Lubberts Herve Luche Burkhard Ludewig Enrico Lugli Sebastian Lunemann Holden T. Maecker Laura Maggi Orla Maguire Florian Mair Kerstin H. Mair Alberto Mantovani Rudolf A. Manz Aaron J. Marshall Alicia Martínez‐Romero Glòria Martrus Ivana Marventano Wlodzimierz Maslinski Giuseppe Matarese Anna Vittoria Mattioli Christian Maueröder Alessio Mazzoni James McCluskey Mairi McGrath Helen M. McGuire Iain B. McInnes Henrik E. Mei Fritz Melchers Susanne Melzer Dirk Mielenz Stephen D. Miller Kingston H.G. Mills Hans Minderman Jenny Mjösberg Jonni Moore Barry Moran Lorenzo Moretta Tim R. Mosmann Susann Müller Gabriele Multhoff Luis Enrique Muñoz Christian Münz Toshinori Nakayama Milena Nasi Katrin Neumann Lai Guan Ng Antonia Niedobitek Sussan Nourshargh Gabriel Núñez José‐Enrique O'Connor Aaron Ochel Anna Oja Diana Ordonez Alberto Orfao Eva Orlowski‐Oliver Wenjun Ouyang Annette Oxenius Raghavendra Palankar Isabel Panse Kovit Pattanapanyasat Malte Paulsen Dinko Pavlinic Livius Penter Pärt Peterson Christian Peth Jordi Petriz Federica Piancone Winfried F. Pickl Silvia Piconese Marcello Pinti A. Graham Pockley Malgorzata Justyna Podolska Zhiyong Poon Katharina Pracht Immo Prinz Carlo E. M. Pucillo Sally A. Quataert Linda Quatrini Kylie M. Quinn Helena Radbruch Tim R. D. J. Radstake Susann Rahmig Hans‐Peter Rahn Bartek Rajwa Gevitha Ravichandran Yotam Raz Jonathan A. Rebhahn Diether Recktenwald Dorothea Reimer Caetano Reis e Sousa Ester B.M. Remmerswaal Lisa Richter Laura G. Rico Andy Riddell Aja M. Rieger J. Paul Robinson Chiara Romagnani Anna Rubartelli Jürgen Ruland Armin Saalmüller Yvan Saeys Takashi Saito Shimon Sakaguchi Francisco Sala‐de‐Oyanguren Yvonne Samstag Sharon Sanderson Inga Sandrock Angela Santoni Ramon Bellmàs Sanz Marina Saresella Catherine Sautes‐Fridman Birgit Sawitzki Linda Schadt Alexander Scheffold Hans U. Scherer Matthias Schiemann Frank A. Schildberg Esther Schimisky Andreas Schlitzer Josephine Schlosser Stephan Schmid Steffen Schmitt Kilian Schober Daniel Schraivogel Wolfgang Schuh Thomas Schüler Reiner Schulte Axel Ronald Schulz Sebastian R. Schulz Cristiano Scottá Daniel Scott‐Algara David P. Sester T. Vincent Shankey Bruno Silva‐Santos Anna Katharina Simon Katarzyna M. Sitnik Silvano Sozzani Daniel E. Speiser Josef Spidlen Anders Stahlberg Alan M. Stall Natalie Stanley Regina Stark Christina Stehle Tobit Steinmetz Hannes Stockinger Yousuke Takahama Kiyoshi Takeda Leonard Tan Attila Tárnok Gisa Tiegs Gergely Toldi Julia Tornack Elisabetta Traggiai Mohamed Trebak Timothy I.M. Tree Joe Trotter John Trowsdale Maria Tsoumakidou Henning Ulrich Sophia Urbanczyk Willem van de Veen Maries van den Broek Edwin van der Pol Sofie Van Gassen Gert Van Isterdael René A.W. van Lier Marc Veldhoen Salvador Vento‐Asturias Paulo Vieira David Voehringer Hans‐Dieter Volk Anouk von Borstel Konrad von Volkmann Ari Waisman Rachael V. Walker Paul K. Wallace Sa A. Wang Xin M. Wang Michael D. Ward Kirsten A Ward‐Hartstonge Klaus Warnatz Gary Warnes Sarah Warth Claudia Waskow James V. Watson Carsten Watzl Leonie Wegener Thomas Weisenburger Annika Wiedemann Jürgen Wienands Anneke Wilharm Robert John Wilkinson Gerald Willimsky James B. Wing Rieke Winkelmann Thomas H. Winkler Oliver F. Wirz Alicia Wong Peter Wurst Jennie H. M. Yang Juhao Yang Maria Yazdanbakhsh Liping Yu Alice Yue Hanlin Zhang Yi Zhao Susanne Maria Ziegler Christina Zielinski Jakob Zimmermann Arturo Zychlinsky., These guidelines are a consensus work of a considerable number of members of the immunology and flow cytometry community. They provide the theory and key practical aspects of flow cytometry enabling immunologists to avoid the common errors that often undermine immunological data. Notably, there are comprehensive sections of all major immune cell types with helpful Tables detailing phenotypes in murine and human cells. The latest flow cytometry techniques and applications are also described, featuring examples of the data that can be generated and, importantly, how the data can be analysed. Furthermore, there are sections detailing tips, tricks and pitfalls to avoid, all written and peer‐reviewed by leading experts in the field, making this an essential research companion., This work was supported by the Netherlands Organisation for Scientific Research – Domain Applied and Engineering Sciences (NWO-TTW), research program VENI 15924. This work was funded by the Deutsche Forschungsgemeinschaft. European Union Innovative Medicines Initiative - Joint Undertaking - RTCure Grant Agreement 777357 and innovation program (Grant Agreement 695551).
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- 2019
8. Intestinal-derived ILCs migrating in lymph increase IFNγ production in response to Salmonella Typhimurium infection
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Daniel M. Wall, Gabrielle T Belz, John J. Cole, Vuk Cerovic, Edward S Lee, Gérard Eberl, Natalie Papazian, Michio Tomura, Verena Kästele, David R. Withers, Carl S. Goodyear, Tom Cupedo, Simon Milling, Rose A. Maciewicz, Johannes U Mayer, Hematology, HUGOT, Bérengère, Institute of Infection, Immunity and Inflammation [Glasgow, UK], University of Glasgow, Albert Einstein College of Medicine [New York], Erasmus University Medical Center [Rotterdam] (Erasmus MC), The Walter and Eliza Hall Institute of Medical Research (WEHI), Rheinisch-Westfälische Technische Hochschule Aachen University (RWTH), Osaka Ohtani University [Osaka, Japan], Microenvironnement et Immunité - Microenvironment and Immunity, Institut Pasteur [Paris] (IP)-Institut National de la Santé et de la Recherche Médicale (INSERM), University of Birmingham [Birmingham], V.K. was supported by the Versus Arthritis Rheumatoid Arthritis Pathogenesis Centre for Excellence (RACE) (grant number 20298). J.M. was supported by the Wellcome Trust 'Molecular Functions in Disease' Doctoral Training Programme. J.J.C. was supported by the GLAZgo Discovery Centre. V.C. was supported by a project grant from the Medical Research Council (MR/K021095/1)., RWTH Aachen University, and Institut Pasteur [Paris]-Institut National de la Santé et de la Recherche Médicale (INSERM)
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0301 basic medicine ,Salmonella ,[SDV.IMM] Life Sciences [q-bio]/Immunology ,Immunology ,Innate lymphoid cell ,Cytokine expression ,C-C chemokine receptor type 7 ,Inflammation ,Biology ,medicine.disease_cause ,3. Good health ,body regions ,03 medical and health sciences ,030104 developmental biology ,0302 clinical medicine ,Immunity ,medicine ,Immunology and Allergy ,[SDV.IMM]Life Sciences [q-bio]/Immunology ,Lymph ,Transcriptional analysis ,medicine.symptom ,skin and connective tissue diseases ,030215 immunology - Abstract
Mucosal immunology 14(3), 717-727 (2021). doi:10.1038/s41385-020-00366-3, Published by Nature Publishing Group, New York, NY
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- 2021
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9. MicroRNA‐17‐5p Reduces Inflammation and Bone Erosions in Mice With Collagen‐Induced Arthritis and Directly Targets the JAK/STAT Pathway in Rheumatoid Arthritis Fibroblast‐like Synoviocytes
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Frédéric Blanchard, Benoit Le Goff, Carl S. Goodyear, Pauline Preuss, Benjamin Ory, Shatakshi Sood, Steven Georges, Ursula Fearon, Thibaut Quillard, Aurélie Najm, Douglas J. Veale, François-Marie Masson, Service de rhumatologie [Nantes], Université de Nantes (UN)-Hôtel-Dieu-Centre hospitalier universitaire de Nantes (CHU Nantes), Physiopathologie des Adaptations Nutritionnelles (PhAN), Université de Nantes - UFR de Médecine et des Techniques Médicales (UFR MEDECINE), Université de Nantes (UN)-Université de Nantes (UN)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Sarcomes osseux et remodelage des tissus calcifiés - Phy-Os [Nantes - INSERM U1238] (Phy-Os), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Bretagne Loire (UBL)-Centre hospitalier universitaire de Nantes (CHU Nantes)-Université de Nantes - UFR de Médecine et des Techniques Médicales (UFR MEDECINE), Université de Nantes (UN)-Université de Nantes (UN), and Equipe Labellisée LIGUE 2012 [Nantes]
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0301 basic medicine ,[SDV]Life Sciences [q-bio] ,Immunology ,Arthritis ,Inflammation ,Proinflammatory cytokine ,Arthritis, Rheumatoid ,Mice ,03 medical and health sciences ,0302 clinical medicine ,Rheumatology ,Osteoclast ,medicine ,Animals ,Humans ,Immunology and Allergy ,STAT3 ,B cell ,Cell Proliferation ,Janus Kinases ,biology ,business.industry ,Synovial Membrane ,Fibroblasts ,medicine.disease ,Arthritis, Experimental ,Synoviocytes ,MicroRNAs ,STAT Transcription Factors ,030104 developmental biology ,medicine.anatomical_structure ,030220 oncology & carcinogenesis ,Rheumatoid arthritis ,Cancer research ,biology.protein ,Cytokines ,Tumor necrosis factor alpha ,medicine.symptom ,business ,Signal Transduction - Abstract
Objective: \ud We undertook this study to examine microRNA (miRNA) expression across rheumatoid arthritis (RA) phenotypes, along with the effects and mechanisms of action of miRNA‐17‐5p (miR‐17).\ud \ud Methods: \ud A miRNA array was performed in synovial tissue biopsied from patients with naive erosive RA (n = 3) and patients with nonerosive RA (n = 3). MicroRNA‐17 lipoplex was delivered intraarticularly in the murine collagen‐induced arthritis model. Clinical, histologic, and structural effects were studied over the course of arthritis. In‐depth studies of the mechanisms of action of miR‐17 were performed in primary RA fibroblast‐like synoviocytes (FLS) isolated from synovial tissue.\ud \ud Results: \ud Fifty‐five miRNAs including miR‐17 were reduced in erosive RA. The miR‐17 transfection into arthritic paws reduced the clinical inflammation score between day 2 and day 7 (2.8 versus 1.9; P = 0.03). Synovial B cell, T cell, macrophage, and polynuclear neutrophil infiltration was significantly reduced. Structural damage was also decreased, as shown by a reduction in the number of osteoclasts detected using tartrate‐resistant acid phosphatase staining (osteoclast surface/bone surface 32% versus 18%; P = 0.005) and erosion score by computed tomography analysis (2.9 versus 1.7; P = 0.023). Proinflammatory cytokines from the interleukin‐6 (IL‐6) family and IL‐1β expression were also significantly reduced, but tumor necrosis factor was not. MicroRNA‐17 directly targeted the 3′‐untranslated regions of STAT3 and JAK1. STAT3 and JAK1 messenger RNA (mRNA) and protein expression were reduced in RA FLS following miR‐17 transfection. STAT3 and JAK1 mRNA and activation of STAT3, as assessed by immunohistochemistry, were also reduced in injected paws (% stained area 93% versus 62%; P = 0.035).\ud \ud Conclusion: \ud We demonstrate an antiinflammatory and antierosive role of miR‐17 in vivo. This effect involves the suppression of the IL‐6 family autocrine‐amplifying loop through the direct targeting of JAK1 and STAT3.
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- 2020
10. Role of Gut Inflammation in Altering the Monocyte Compartment and Its Osteoclastogenic Potential in HLA-B27-Transgenic Rats
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Lotta Utriainen, Carl S. Goodyear, Simon Milling, and C Ansalone
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musculoskeletal diseases ,0301 basic medicine ,Myeloid ,medicine.diagnostic_test ,Monocyte ,Immunology ,Biology ,CCL2 ,medicine.disease ,Flow cytometry ,Pathogenesis ,03 medical and health sciences ,030104 developmental biology ,medicine.anatomical_structure ,Rheumatology ,medicine ,Immunology and Allergy ,Tumor necrosis factor alpha ,Ileitis ,Bone marrow - Abstract
Objective To investigate the relationship between intestinal inflammation and the central and peripheral innate immune system, in the pathogenesis of HLA-B27 associated spondyloarthritis. Methods The myeloid compartment of the bone marrow and blood of HLA-B27 transgenic (B27), control HLA-B7 transgenic (B7), and non-transgenic rats were evaluated by flow cytometry. Plasma from rats were assessed by ELISA for CCL2 and IL-1α levels. Rats were treated for 4 weeks with antibiotics and the blood and bone marrow myeloid compartments were evaluated by flow cytometry. The osteoclastogenic potential of bone marrow cells from antibiotic treated rats, in the presence or absence of TNFα, was evaluated in vitro. Results B27 rats have substantially higher numbers of circulating Lin-CD172a+CD43l° monocytes than control animals, which significantly correlates with higher levels of plasma CCL2. Antibiotic treatment of B27 rats markedly reduced ileitis, plasma CCL2 and IL-1α levels, and the number of bone marrow and blood Lin-CD172a+CD43l° monocytes, which have the greatest in vitro osteoclastogenic potential. Antibiotic treatment also prevented the TNFα-dependent enhancement of osteoclastogenesis in transgenic B27 rats. Conclusions The microbiota-dependent intestinal inflammation in B27 rats directly drives the systemic inflammatory and bone erosive potential of the monocyte compartment. This article is protected by copyright. All rights reserved.
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- 2017
11. POS0348 GENETIC SUSCEPTIBILITY VARIANTS FOR RHEUMATOID ARTHRITIS ARE NOT ASSOCIATED WITH EARLY REMISSION; A MULTI-COHORT STUDY
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Dennis Lendrem, L. Klareskog, Martina Johannesson, F. Morton, John D. Isaacs, L. Rodriguez Rodriguez, A. Winkler, Rachel Knevel, Duncan Porter, Xinli Hu, Carl S. Goodyear, Patrick Brown, Isidoro González-Álvaro, S. M. M. Verstappen, Leonid Padyukov, Caron Paterson, Arthur G. Pratt, I. McInnes, E. B. van den Akker, M. Maurits, D. Sieghart, A. Van der Helm van Mil, Andrew P. Cope, Y. Abraham, Paul Studenic, T.W.J. Huizinga, A. Barton, and S. Jurado Zapata
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Oncology ,medicine.medical_specialty ,business.industry ,Immunology ,Early remission ,medicine.disease ,General Biochemistry, Genetics and Molecular Biology ,Rheumatology ,Internal medicine ,Rheumatoid arthritis ,medicine ,Genetic predisposition ,Immunology and Allergy ,business ,Cohort study - Abstract
Background:Patients who achieve remission promptly could have a specific genetic risk profile that supports regaining immune tolerance. The identification of these genes could provide novel drug targets.Objectives:To test the association between RA genetic risk variants with achieving remission at 6 months.Methods:We computed genetic risk scores (GRS) comprising of the RA susceptibility variants1 and HLA-SE status separately in 4425 patients across eight datasets from inception cohorts. Remission was defined as DAS28CRPResults:Evaluation of the complete dataset, baseline clinical variables did not differ between patients achieving remission and those who did not (Table 1). Distribution of GRS was consistent between datasets. Neither GRS nor HLA-SE was associated with baseline DAS2DAS (OR1.01; 95% CI 0.99-1.04). A fixed effect meta-analysis (Figure 1.) showed no significant effect of the GRS (OR 0.99; 95% CI 0.94-1.03) or HLA-SE (OR 0.8CRP87; 95% CI 0.75-1.01) on remission at 6 months.Table 1.Summary of the data separated by disease activity after 6 months.allRemission at 6 monthsNo remission at 6 monthsN4425*15582430Age, mean (sd)55.38 (13.87)5517 (14.09)55.62 (13.59)Female %68.98%65.43%70.73%ACPA+ %61.94%63.53%61.67%Baseline DAS28, mean (sd)4.76 (1.22)4.47 (1.23)5.1 (1.15)*not all patients had 6 months dataConclusion:In these combined cohorts, RA genetics risk variants are not associated with early disease remission. At baseline there was no difference in genetic risk between patients achieving remission or not. Studies encompassing other genetic variants are needed to elucidate the genetics of RA remission.References:[1]Knevel R et al. Sci Transl Med. 2020;12(545):eaay1548.Acknowledgements:This project has received funding from the Innovative Medicines Initiative 2 Joint Undertaking under grant agreement No 777357, RTCure.This project has received funding from Pfizer Inc.Disclosure of Interests:Samantha Jurado Zapata: None declared, Marc Maurits: None declared, Yann Abraham Employee of: Pfizer, Erik van den Akker: None declared, Anne Barton: None declared, Philip Brown: None declared, Andrew Cope: None declared, Isidoro González-Álvaro: None declared, Carl Goodyear: None declared, Annette van der Helm - van Mil: None declared, Xinli Hu Employee of: Pfizer, Thomas Huizinga: None declared, Martina Johannesson: None declared, Lars Klareskog: None declared, Dennis Lendrem: None declared, Iain McInnes: None declared, Fraser Morton: None declared, Caron Paterson: None declared, Duncan Porter: None declared, Arthur Pratt: None declared, Luis Rodriguez Rodriguez: None declared, Daniela Sieghart: None declared, Paul Studenic: None declared, Suzanne Verstappen: None declared, Leonid Padyukov: None declared, Aaron Winkler Employee of: Pfizer, John D Isaacs: None declared, Rachel Knevel Grant/research support from: Pfizer
- Published
- 2021
12. SAT0033 USING CHROMOSOME CONFORMATION FOR INSIGHT INTO PATHOGENESIS OF EARLY RHEUMATOID ARTHRITIS ENDOTYPES
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C. Koutsothanasi, Carl S. Goodyear, I.B. McInnes, Matthew Salter, C. Duncan, Ewan Hunter, and Alexandre Akoulitchev
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Autoimmune disease ,Oncology ,medicine.medical_specialty ,education.field_of_study ,business.industry ,Immunology ,Population ,Genome-wide association study ,Disease ,Epigenome ,medicine.disease ,General Biochemistry, Genetics and Molecular Biology ,Rheumatology ,Internal medicine ,Rheumatoid arthritis ,Cohort ,medicine ,Immunology and Allergy ,Biomarker (medicine) ,education ,business - Abstract
Background:Rheumatoid arthritis (RA) is a chronic autoimmune disease with substantial immunopathogenic heterogeneity. It is well established that early diagnosis and initiation of effective therapy is crucial to prevent loss of function. Previously, various RA treatment trajectories have been identified, however there are currently no clinically validated biomarkers that can identify these trajectories at the start of treatment. Evaluation of the structural epigenome has revealed that chromosome conformation signatures (CCS) offer great potential as binary, informative biomarkers, and have been previously shown to predict early RA patient response to Methotrexate with 90% sensitivity (1). These signatures can also reveal highly regulated areas of the genome, which may be underpinning disease endotypes.Objectives:The objective of this study was to evaluate the structural epigenome in early RA over longitudinal samples to determine whether it is associated with treatment trajectories.Methods:Patient data and samples were from the Scottish Early Rheumatoid Arthritis (SERA) cohort; a pan-Scotland inception cohort. CDAI, DAS28 ESR and DAS28 CRP measurements were calculated at baseline, 6 months and 12 months to determine longitudinal treatment response. From 3 principal longitudinal response trajectories, 18 patients (who had equivalent disease activity at baseline) were chosen to investigate the structural epigenome. These 18 comprised of responders (R), non-responders (NR) and initial responders (IR; low disease activity/remission at 6 months but moderate/high disease activity at 12 months) with 6 patients per group at each time point. 20 pooled healthy samples were used as a comparator population. EpiSwitch libraries were probed on 180K Agilent SureSelect custom arrays that were designed using EpiSwitch propriety information and publicly available data from Walshet al(2). Microarray data was analysed using the Limma package within R studio.Results:EpiSwitch array analysis showed that there were >10,000 statistically significant differential chromosomal loops between R, NR and IR. Evaluation of the 3 trajectory groups (R, NR and IR), taking into account the healthy chromosomal conformation, revealed an RA-associated structural epigenome that comprised of 10,445 chromosomal loops that were stable, over the three time points. Subsequent analysis of the distinct treatment trajectories demonstrated that 3683 of the stable, disease-associated chromosomal loops were shared by all 3. However, 4496 were associated with distinct response trajectories, with 1221, 2574 and 701 loops unique to R, NR and IR respectively.Conclusion:The stable chromosomal architecture unique to each treatment trajectory suggests that various underlying molecular endotypes may exist. Moreover, the stable loops common to all groups allude to a baseline level of dysregulation in RA and offers the potential to discover novel drivers of disease. This work provides the foundation to further our understanding of RA pathogenesis and the potential of finding a biomarker that would be of significant value in a clinical setting.References:[1] Carini, C., Hunter, E., Scottish Early Rheumatoid Arthritis Inception cohort Investigators, Ramadass, A. S., Green, J., Akoulitchev, A., et al. (2018). Chromosome conformation signatures define predictive markers of inadequate response to methotrexate in early rheumatoid arthritis.Journal of Translational Medicine,16(1), 18–11[2] Walsh, A. M., Whitaker, J. W., Huang, C. C., Cherkas, Y., Lamberth, S. L., Brodmerkel, C., et al. (2016). Integrative genomic deconvolution of rheumatoid arthritis GWAS loci into gene and cell type associations.Genome Biology,17(1), 2205Disclosure of Interests:Caitlin Duncan: None declared, Ewan Hunter: None declared, Christina Koutsothanasi: None declared, Matthew Salter: None declared, Alexandre Akoulitchev: None declared, Iain McInnes Grant/research support from: Bristol-Myers Squibb, Celgene, Eli Lilly and Company, Janssen, and UCB, Consultant of: AbbVie, Bristol-Myers Squibb, Celgene, Eli Lilly and Company, Gilead, Janssen, Novartis, Pfizer, and UCB, Carl Goodyear: None declared
- Published
- 2020
13. AB0210 ACREULAR: AN R PACKAGE FOR THE CALCULATION AND VISUALISATION OF ACR/EULAR RELATED RHEUMATOID ARTHRITIS MEASURES
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F. Morton, Duncan Porter, J. Nijjar, and Carl S. Goodyear
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medicine.medical_specialty ,education.field_of_study ,business.industry ,Immunology ,Population ,medicine.disease ,General Biochemistry, Genetics and Molecular Biology ,R package ,Rheumatology ,Quality of life ,Internal medicine ,Joint pain ,Rheumatoid arthritis ,medicine ,Immunology and Allergy ,Anxiety ,Rheumatology department ,medicine.symptom ,business ,education ,Depression (differential diagnoses) - Abstract
Background:The American College of Rheumatology (ACR) and the European League Against Rheumatism (EULAR) individually and collaboratively have produced/recommended diagnostic classification, response and functional status criteria for a range of different rheumatic diseases. While there are a number of different resources available for performing these calculations individually, currently there are no tools available that we are aware of to easily calculate these values for whole patient cohorts.Objectives:To develop a new software tool, which will enable both data analysts and also researchers and clinicians without programming skills to calculate ACR/EULAR related measures for a number of different rheumatic diseases.Methods:Criteria that had been developed by ACR and/or EULAR that had been approved for the diagnostic classification, measurement of treatment response and functional status in patients with rheumatoid arthritis were identified. Methods were created using the R programming language to allow the calculation of these criteria, which were incorporated into an R package. Additionally, an R/Shiny web application was developed to enable the calculations to be performed via a web browser using data presented as CSV or Microsoft Excel files.Results:acreular is a freely available, open source R package (downloadable fromhttps://github.com/fragla/acreular) that facilitates the calculation of ACR/EULAR related RA measures for whole patient cohorts. Measures, such as the ACR/EULAR (2010) RA classification criteria, can be determined using precalculated values for each component (small/large joint counts, duration in days, normal/abnormal acute-phase reactants, negative/low/high serology classification) or by providing “raw” data (small/large joint counts, onset/assessment dates, ESR/CRP and CCP/RF laboratory values). Other measures, including EULAR response and ACR20/50/70 response, can also be calculated by providing the required information. The accompanying web application is included as part of the R package but is also externally hosted athttps://fragla.shinyapps.io/shiny-acreular. This enables researchers and clinicians without any programming skills to easily calculate these measures by uploading either a Microsoft Excel or CSV file containing their data. Furthermore, the web application allows the incorporation of additional study covariates, enabling the automatic calculation of multigroup comparative statistics and the visualisation of the data through a number of different plots, both of which can be downloaded.Figure 1.The Data tab following the upload of data. Criteria are calculated by the selecting the appropriate checkbox.Figure 2.A density plot of DAS28 scores grouped by ACR/EULAR 2010 RA classification. Statistical analysis has been performed and shows a significant difference in DAS28 score between the two groups.Conclusion:The acreular R package facilitates the easy calculation of ACR/EULAR RA related disease measures for whole patient cohorts. Calculations can be performed either from within R or by using the accompanying web application, which also enables the graphical visualisation of data and the calculation of comparative statistics. We plan to further develop the package by adding additional RA related criteria and by adding ACR/EULAR related measures for other rheumatic disorders.Disclosure of Interests:Fraser Morton: None declared, Jagtar Nijjar Shareholder of: GlaxoSmithKline plc, Consultant of: Janssen Pharmaceuticals UK, Employee of: GlaxoSmithKline plc, Paid instructor for: Janssen Pharmaceuticals UK, Speakers bureau: Janssen Pharmaceuticals UK, AbbVie, Carl Goodyear: None declared, Duncan Porter: None declared
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- 2020
14. Multifunctional cytokine production reveals functional superiority of memory CD4 T cells
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Kris McGuire, Ashley Flynn, Lindsay M. Maclellan, Matthew Thomas, Joshua I. Gray, Lotus M. Westerhof, Megan K. L. MacLeod, and Carl S. Goodyear
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0301 basic medicine ,CD4-Positive T-Lymphocytes ,medicine.medical_treatment ,CD8-Positive T-Lymphocytes ,Lymphocyte Activation ,Mice ,0302 clinical medicine ,Immunology and Allergy ,Cytotoxic T cell ,Primary cell ,T cell ,Antigens, Viral ,Lung ,Immunity, Cellular ,Memory cell ,3. Good health ,Cell biology ,Cytokine ,medicine.anatomical_structure ,Lymphatic system ,Influenza A virus ,Organ Specificity ,Female ,Research Article|Basic ,Research Article ,Immunology ,Adaptive immunity ,Receptors, Antigen, T-Cell ,Biology ,Virus ,Immunophenotyping ,03 medical and health sciences ,Interferon-gamma ,Multifunctional ,medicine ,Animals ,Basic ,Tumor Necrosis Factor-alpha ,T-cell receptor ,Dendritic Cells ,Mice, Inbred C57BL ,030104 developmental biology ,Gene Expression Regulation ,Interleukin-2 ,Lymph Nodes ,Influenza virus ,Immunologic Memory ,Spleen ,030215 immunology - Abstract
T cell protective immunity is associated with multifunctional memory cells that produce several different cytokines. Currently, our understanding of when and how these cells are generated is limited. We have used an influenza virus mouse infection model to investigate whether the cytokine profile of memory T cells is reflective of primary responding cells or skewed toward a distinct profile. We found that, in comparison to primary cells, memory T cells tended to make multiple cytokines simultaneously. Analysis of the timings of release of cytokine by influenza virus‐specific T cells, demonstrated that primary responding CD4 T cells from lymphoid organs were unable to produce a sustained cytokine response. In contrast CD8 T cells, memory CD4 T cells, and primary responding CD4 T cells from the lung produced a sustained cytokine response throughout the restimulation period. Moreover, memory CD4 T cells were more resistant than primary responding CD4 T cells to inhibitors that suppress T cell receptor signaling. Together, these data suggest that memory CD4 T cells display superior cytokine responses compared to primary responding cells. These data are key to our ability to identify the cues that drive the generation of protective memory CD4 T cells following infection., Influenza virus‐specific memory CD4 T cells are more likely to be multifunctional and produce a more sustained cytokine response than primary responding T cells.
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- 2018
15. Essential Domain-Dependent Roles Within Soluble IgG for in vivo Superantigen Properties of Staphylococcal Protein A: Resolving the B-Cell Superantigen Paradox
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Gregg J. Silverman, Alejandro Ulloa-Morales, and Carl S. Goodyear
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0301 basic medicine ,lcsh:Immunologic diseases. Allergy ,SpA MRSA ,Immunology ,Receptors, Antigen, B-Cell ,Mice, Transgenic ,protein A ,Immunoglobulin Fab Fragments ,03 medical and health sciences ,Immune system ,Superantigen ,medicine ,anaphylaxis ,Animals ,Immunology and Allergy ,antibodies ,Staphylococcal Protein A ,Cells, Cultured ,B cell ,Original Research ,Mice, Knockout ,B-Lymphocytes ,B cells ,Binding Sites ,superantigens ,biology ,Chemistry ,T-cell receptor ,breakpoint cluster region ,host-pathogen ,Immune complex ,3. Good health ,Cell biology ,Mice, Inbred C57BL ,030104 developmental biology ,medicine.anatomical_structure ,Immunoglobulin G ,biology.protein ,Antibody ,Protein A ,lcsh:RC581-607 - Abstract
Staphylococcus aureus is a common commensal and frequent opportunistic pathogen that causes invasive infections that often recur. Co-evolution with the host has led to the development of toxins that affect diverse immune cell types. Recent reports have highlighted the contributions of staphylococcal protein A (SpA). This small oligomeric secreted protein contains 4–5 homologous domains with two distinct immunoglobulin-binding sites; one for IgG Fc domains, while a separate site binds an evolutionarily conserved surface on Fab encoded by VHIII clan related genes. The Fab-binding site has been implicated in in vivo supraclonal VHIII-BCR targeted B-cell depletion by an activation induced death pathway. Yet the concept of a superantigen for B lymphocytes poses a seeming paradox. Unlike TCR that are expressed only in a membrane-associated form, BCR are expressed in both a membrane BCR form and in secreted Ig forms, which permeate virtually every part of the body at high levels. We therefore asked, why circulating immunoglobulin do not block the superantigen properties of SpA? Herein, we show that soluble IgG molecules are not in vivo inhibitors of these B-cell superantigen effects but are instead essential for potentiating these properties. We also show that the Fc subclass of circulating IgG is an indirect critical determinant of the B-cell superantigen effect. In contrast, host FcγR and complement are not required for SpA mediated in vivo B-cell depletion. Unexpectedly, after VHIII-IgG2a pretreatment SpA challenge resulted in fatal anaphylactic reactions, which we speculate may have involved FcγR interactions with mast cells and basophils. Cumulatively, our findings illuminate a cunning and potent molecular strategy by which a bacterial toxin effectively confounds the contributions of host B-lymphocytes to immune defenses.
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- 2018
16. Novel methodology to discern predictors of remission and patterns of disease activity over time using rheumatoid arthritis clinical trials data
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A. Gilmour, S Schwank, Frederic Geissmann, Christopher M Mela, B Kola, B Harvey, I Vranic, Evan Tzanis, H-D Zucht, Peter C. Taylor, J Diboll, Alexandra Belson, G Molyneux, MA Sleeman, Rekha Parmar, E Vernon, Stephen P. Young, Iona Donnelly, C Cuff, P Schulz-Knappe, Heidi Lempp, Christopher D. Buckley, N Payne, John D. Isaacs, Coziana Ciurtin, H Noble, M Macoritto, A Parke, S Jelinsky, James N. Galloway, Ian C. Scott, Frederique Ponchel, Sarah Keidel, Denny Verbeeck, A Didierlaurent, MF McDermot, J Tarn, AT Virlan, T Lazarov, J Ellis, S Kaymakcalan, Anthony Rowe, Catharien M. U. Hilkens, G Altobelli, M Loza, P Jones, Ayako Wakatsuki Pedersen, Ian N. Bruce, Duncan Porter, A Cuza, D Ziemek, S Talbot, C Marshall, A Herath, D Finch, D Baker, Maya H Buch, Y Zhong, R Toward, Ludbrook, Mark Coles, Barnes, M Ho, M Page, J Casement, M Maciejewski, Claudio Carini, Sarah Brockbank, D Nguyen, H Tipney, A Filer, Christopher R. John, S Kelly, Andrew P. Cope, W Burny, M Curran, Catharina Lindholm, Benjamin A Fisher, Ray Harris, Jehan J. El-Jawhari, P Stocks, D Dastros-Pitel, Z Liu, Bdm Tom, Dennis Lendrem, Wayne Tsuji, F Stirling, J Worthington, Deborah P M Symmons, Matthew A. Sleeman, D Padhji, Fowzia Ibrahim, Smm Verstappen, P Budde, Ehrenstein, Marc C. Levesque, R Harry, B Allen, T Sabin, Michael Binks, Sally Hollis, Gerry Parker, S Lipsky, Georgina Thorborn, M Jenkins, A Hughes-Morley, Costantino Pitzalis, N Joseph, H Edwards, Jamie C. Sergeant, Paul Emery, H Ali, JA Butler, Liliane Fossati-Jimack, S Wright, Fiona Clarke, W Wu, Amy E. Anderson, Sharmila Rana, F Humby, F Hong, Myles Lewis, A Haynes, Katriona Goldmann, S Martins, CT Mela, S Hasan, David Scott, L Rowell, David Watson, Neil Gozzard, Karim Raza, Simon Read, M Hodge, Carl S. Goodyear, Farewell, George Davey Smith, Michele Bombardieri, Iain B. McInnes, C Larminie, G Simpson, N Ward, K Hicks, R Rao, Z Jia, FB Capdevila, and A Long
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latent class mixed models ,musculoskeletal diseases ,medicine.medical_specialty ,Immunology ,Rheumatoid Arthritis ,Logistic regression ,01 natural sciences ,methotrexate ,010104 statistics & probability ,03 medical and health sciences ,0302 clinical medicine ,remission ,Rheumatology ,immune system diseases ,Internal medicine ,Immunology and Allergy ,Medicine ,DAS28 trajectories ,0101 mathematics ,skin and connective tissue diseases ,030203 arthritis & rheumatology ,business.industry ,Random effects model ,medicine.disease ,3. Good health ,Clinical trial ,Systematic review ,Concomitant ,Rheumatoid arthritis ,Biomarker (medicine) ,Methotrexate ,business ,randomised controlled trial ,medicine.drug - Abstract
ObjectivesTo identify predictors of remission and disease activity patterns in patients with rheumatoid arthritis (RA) using individual participant data (IPD) from clinical trials.MethodsPhase II and III clinical trials completed between 2002 and 2012 were identified by systematic literature review and contact with UK market authorisation holders. Anonymised baseline and follow-up IPD from non-biological arms were amalgamated. Multiple imputation was used to handle missing outcome and covariate information. Random effects logistic regression was used to identify predictors of remission, measured by the Disease Activity Score 28 (DAS28) at 6 months. Novel latent class mixed models characterised DAS28 over time.ResultsIPD of 3290 participants from 18 trials were included. Of these participants, 92% received methotrexate (MTX). Remission rates were estimated at 8.4%(95%CI 7.4%to9.5%) overall, 17%(95%CI 14.8%to19.4%) for MTX-naïve patients with early RA and 3.2% (95% CI 2.4% to 4.3%) for those with prior MTX exposure at entry. In prior MTX-exposed patients, lower baseline DAS28 and MTX reinitiation were associated with remission. In MTX-naïve patients, being young, white, male, with better functional and mental health, lower baseline DAS28 and receiving concomitant glucocorticoids were associated with remission. Three DAS28 trajectory subpopulations were identified in MTX-naïve and MTX-exposed patients. A number of variables were associated with subpopulation membership and DAS28 levels within subpopulations.Conclusions Predictors of remission differed between MTX-naïve and prior MTX-exposed patients at entry. Latent class mixed models supported differential non-biological therapy response, with three distinct trajectories observed in both MTX-naïve and MTX-exposed patients. Findings should be useful when designing future RA trials and interpreting results of biomarker studies.
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- 2018
17. Cardiovascular disease in autoimmune rheumatic diseases
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Pier Luigi Meroni, Ivana Hollan, Marcello P. Riggio, Sam Curran, Knut Hestad, Kelly J. Shields, J. W. Cohen Tervaert, Carl S. Goodyear, Bashar Kahaleh, Mary Chester M. Wasko, Joseph M. Ahearn, RS: CARIM School for Cardiovascular Diseases, and RS: MHeNs School for Mental Health and Neuroscience
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Inflammation ,ARDS ,business.industry ,Immunology ,Rheumatic ,Disease ,medicine.disease ,Systemic inflammation ,medicine.disease_cause ,Atherosclerosis ,Autoimmune Diseases ,Autoimmunity ,Immune system ,Cardiovascular Diseases ,Antiphospholipid syndrome ,Rheumatic Diseases ,Rheumatoid arthritis ,medicine ,Humans ,Immunology and Allergy ,medicine.symptom ,Vasculitis ,business - Abstract
Various autoimmune rheumatic diseases (ARDs), including rheumatoid arthritis, spondyloarthritis, vasculitis and systemic lupus erythematosus, are associated with premature atherosclerosis. However, premature atherosclerosis has not been uniformly observed in systemic sclerosis. Furthermore, although experimental models of atherosclerosis support the role of antiphospholipid antibodies in atherosclerosis, there is no clear evidence of premature atherosclerosis in antiphospholipid syndrome (APA). Ischemic events in APA are more likely to be caused by pro-thrombotic state than by enhanced atherosclerosis. Cardiovascular disease (CVD) in ARDs is caused by traditional and non-traditional risk factors. Besides other factors, inflammation and immunologic abnormalities, the quantity and quality of lipoproteins, hypertension, insulin resistance/hyperglycemia, obesity and underweight, presence of platelets bearing complement protein C4d, reduced number and function of endothelial progenitor cells, apoptosis of endothelial cells, epigenetic mechanisms, renal disease, periodontal disease, depression, hyperuricemia, hypothyroidism, sleep apnea and vitamin D deficiency may contribute to the premature CVD. Although most research has focused on systemic inflammation, vascular inflammation may play a crucial role in the premature CVD in ARDs. It may be involved in the development and destabilization of both atherosclerotic lesions and of aortic aneurysms (a known complication of ARDs). Inflammation in subintimal vascular and perivascular layers appears to frequently occur in CVD, with a higher frequency in ARD than in non-ARD patients. It is possible that this inflammation is caused by infections and/or autoimmunity, which might have consequences for treatment. Importantly, drugs targeting immunologic factors participating in the subintimal inflammation (e.g., T- and B-cells) might have a protective effect on CVD. Interestingly, vasa vasorum and cardiovascular adipose tissue may play an important role in atherogenesis. Inflammation and complement depositions in the vessel wall are likely to contribute to vascular stiffness. Based on biopsy findings, also inflammation in the myocardium and small vessels may contribute to premature CVD in ARDs (cardiac ischemia and heart failure). There is an enormous need for an improved CVD prevention in ARDs. Studies examining the effect of DMARDs/biologics on vascular inflammation and CV risk are warranted.
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- 2013
18. IL-33 attenuates EAE by suppressing IL-17 and IFN-γ production and inducing alternatively activated macrophages
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Sandra Y. Fukada, Debbie Allan, Christopher Linington, Hui-Rong Jiang, Miodrag L. Lukic, Damo Xu, Carl S. Goodyear, Wanda Niedbala, Dieudonnée Togbe, José C. Alves-Filho, Foo Y. Liew, Marija Milovanovic, and Anne-Galle Besnard
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0303 health sciences ,Adoptive cell transfer ,business.industry ,Encephalomyelitis ,medicine.medical_treatment ,Immunology ,Experimental autoimmune encephalomyelitis ,Interleukin ,medicine.disease ,3. Good health ,Interleukin 33 ,03 medical and health sciences ,0302 clinical medicine ,Cytokine ,Immune system ,medicine ,Immunology and Allergy ,Interleukin 17 ,business ,030304 developmental biology ,030215 immunology - Abstract
Interleukin (IL)-33, a member of the IL-1 cytokine family, is an important modulator of the immune system associated with several immune-mediated disorders. High levels of IL-33 are expressed by the central nervous system (CNS) suggesting a potential role of IL-33 in autoimmune CNS diseases. We have investigated the expression and function of IL-33 in the development of experimental autoimmune encephalomyelitis (EAE) in mice. We report here that IL-33 and its receptor ST2 (IL-33Rα) are highly expressed in spinal cord tissue, and ST2 expression is markedly increased in the spinal cords of mice with EAE. Furthermore, ST2-deficient (ST2(-/-) ) mice developed exacerbated EAE compared with wild-type (WT) mice while WT, but not ST2(-/-) EAE mice treated with IL-33 developed significantly attenuated disease. IL-33-treated mice had reduced levels of IL-17 and IFN-γ but produced increased amounts of IL-5 and IL-13. Lymph node and splenic macrophages of IL-33-treated mice showed polarization toward an alternatively activated macrophage (M2) phenotype with significantly increased frequency of MR(+) PD-L2(+) cells. Importantly, adoptive transfer of these IL-33-treated macrophages attenuated EAE development. Our data therefore demonstrate that IL-33 plays a therapeutic role in autoimmune CNS disease by switching a predominantly pathogenic Th17/Th1 response to Th2 activity, and by polarization of anti-inflammatory M2 macrophages.
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- 2012
19. Lipid arrays identify myelin-derived lipids and lipid complexes as prominent targets for oligoclonal band antibodies in multiple sclerosis
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Christopher Linington, Gregory P. Owens, Simon Rinaldi, Kathryn M. Brennan, Ariel Arthur, Susan C. Barnett, Hugh J. Willison, Carl S. Goodyear, Jeffrey Bennett, Francesc Galban-Horcajo, Colin P. O'Leary, Gabriela Kalna, and Christina Elliot
- Subjects
Pathology ,medicine.medical_specialty ,Multiple Sclerosis ,Oligoclonal band ,Immunology ,Biology ,Article ,Immunoglobulin G ,Rats, Sprague-Dawley ,Myelin ,Cerebrospinal fluid ,medicine ,Animals ,Humans ,Immunology and Allergy ,Cells, Cultured ,Myelin Sheath ,B cell ,Analysis of Variance ,B-Lymphocytes ,Multiple sclerosis ,Oligoclonal Bands ,O Antigens ,Myelin Basic Protein ,Lipid metabolism ,Embryo, Mammalian ,Lipid Metabolism ,medicine.disease ,Rats ,Myelin basic protein ,medicine.anatomical_structure ,Spinal Cord ,Neurology ,biology.protein ,Neurology (clinical) - Abstract
The presence of oligoclonal bands of IgG (OCB) in cerebrospinal fluid (CSF) is used to establish a diagnosis of multiple sclerosis (MS), but their specificity has remained an enigma since its first description over forty years ago. We now report that the use of lipid arrays identifies heteromeric complexes of myelin derived lipids as a prominent target for this intrathecal B cell response.
- Published
- 2011
20. IL-33 Activates B1 Cells and Exacerbates Contact Sensitivity
- Author
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Damo Xu, Andrew N. J. McKenzie, Mousa Komai-Koma, Carl S. Goodyear, Foo Y. Liew, and Derek S. Gilchrist
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T cell ,Immunology ,B-Lymphocyte Subsets ,Mice, Nude ,Biology ,Dermatitis, Contact ,Lymphocyte Activation ,Mice ,medicine ,Animals ,Immunology and Allergy ,Receptor ,Cells, Cultured ,Cell Proliferation ,Mice, Knockout ,Mice, Inbred BALB C ,Cell growth ,Interleukins ,Oxazolone ,Cell Differentiation ,Receptors, Interleukin ,Interleukin-33 ,Mast cell ,Interleukin-1 Receptor-Like 1 Protein ,Mice, Mutant Strains ,Cell biology ,Mice, Inbred C57BL ,Interleukin 33 ,B-1 cell ,medicine.anatomical_structure ,Immunoglobulin M ,Apoptosis ,Interleukin-5 ,Cell activation ,Biomarkers - Abstract
B1 B cells produce natural IgM and play a critical role in the early defense against bacterial and viral infection. The polyreactive IgM also contributes to the clearance of apoptotic products and plays an important role in autoimmune pathogenesis. However, the mechanism of activation and proliferation of B1 cells remains obscure. In this study, we report that IL-33, a new member of IL-1 family, activates B1 cells, which express the IL-33 receptor α, ST2. IL-33 markedly activated B1 cell proliferation and enhanced IgM, IL-5, and IL-13 production in vitro and in vivo in a ST2-dependent manner. The IL-33–activated B1 cell functions could be largely abolished by IL-5 neutralization and partially reduced by T cell or mast cell deficiency in vivo. ST2-deficient mice developed less severe oxazolone-induced contact sensitivity (CS) than did wild-type (WT) mice. Furthermore, IL-33 treatment significantly exacerbated CS in WT mice with enhanced B1 cell proliferation and IgM and IL-5 production. Moreover, IL-33–activated B1 cells from WT mice could adoptively transfer enhanced CS in ST2−/− mice challenged with IL-33. Thus, we demonstrate, to the best of our knowledge, a hitherto unrecognized mechanism of B1 cell activation and IL-33 function, and suggest that IL-33 may play an important role in delayed-type hypersensitivity.
- Published
- 2011
21. Galectin-3 Deficiency Reduces the Severity of Experimental Autoimmune Encephalomyelitis
- Author
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Carl S. Goodyear, Sandra Y. Fukada, Fu-Tong Liu, Zakeya Al Rasebi, Hui-Rong Jiang, Allen Shahin, Damo Xu, Miodrag L. Lukic, E. P. K. Mensah-Brown, and Foo Y. Liew
- Subjects
Central Nervous System ,Male ,Encephalomyelitis, Autoimmune, Experimental ,Galectin 3 ,Encephalomyelitis ,Immunology ,Down-Regulation ,Apoptosis ,Mice, Transgenic ,Inflammation ,Biology ,Severity of Illness Index ,Myelin oligodendrocyte glycoprotein ,Mice ,medicine ,Animals ,Immunology and Allergy ,Lymph node ,Cells, Cultured ,Glycoproteins ,Mice, Knockout ,Interleukin-17 ,Experimental autoimmune encephalomyelitis ,FOXP3 ,medicine.disease ,Growth Inhibitors ,Peptide Fragments ,Interleukin-10 ,Up-Regulation ,Mice, Inbred C57BL ,Interleukin 10 ,medicine.anatomical_structure ,biology.protein ,Myelin-Oligodendrocyte Glycoprotein ,medicine.symptom - Abstract
Galectin-3 (Gal-3) is a member of the β-galactoside-binding lectin family and plays an important role in inflammation. However, the precise role of Gal-3 in autoimmune diseases remains obscure. We have investigated the functional role of Gal-3 in experimental autoimmune encephalomyelitis (EAE) following immunization with myelin oligodendrocyte glycoprotein (MOG)35–55 peptide. Gal-3 deficient (Gal-3−/−) mice developed significantly milder EAE and markedly reduced leukocyte infiltration in the CNS compared with similarly treated wild-type (WT) mice. Gal-3−/− mice also contained fewer monocytes and macrophages but more apoptotic cells in the CNS than did WT mice. Following Ag stimulation in vitro, lymph node cells from the immunized Gal-3−/− mice produced less IL-17 and IFN-γ than did those of the WT mice. In contrast, Gal-3−/− mice produced more serum IL-10, IL-5, and IL-13 and contained higher frequency of Foxp3+ regulatory T cells in the CNS than did the WT mice. Furthermore, bone marrow-derived dendritic cells from Gal-3−/− mice produced more IL-10 in response to LPS or bacterial lipoprotein than did WT marrow-derived dendritic cells. Moreover, Gal-3−/− dendritic cells induced Ag-specific T cells to produce more IL-10, IL-5, and IL-12, but less IL-17, than did WT dendritic cells. Taken together, our data demonstrate that Gal-3 plays an important disease-exacerbating role in EAE through its multifunctional roles in preventing cell apoptosis and increasing IL-17 and IFN-γ synthesis, but decreasing IL-10 production.
- Published
- 2009
22. Cutting Edge: Bim Is Required for Superantigen-Mediated B Cell Death
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David L. Boyle, Fujimi Sugiyama, Maripat Corr, Carl S. Goodyear, and Gregg J. Silverman
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Staphylococcus aureus ,Virulence Factors ,Immunology ,Clonal Deletion ,Receptors, Antigen, B-Cell ,Apoptosis ,Lymphocyte Activation ,Virulence factor ,Immune tolerance ,Mice ,Immune system ,Antigen ,Proto-Oncogene Proteins ,hemic and lymphatic diseases ,Superantigen ,medicine ,Animals ,Immunology and Allergy ,Staphylococcal Protein A ,Receptor ,B cell ,Mice, Knockout ,B-Lymphocytes ,Superantigens ,Bcl-2-Like Protein 11 ,biology ,Neuropeptides ,Membrane Proteins ,Cell biology ,medicine.anatomical_structure ,Proto-Oncogene Proteins c-bcl-2 ,biology.protein ,Apoptosis Regulatory Proteins ,Protein A - Abstract
To impair B cell clonal regulation, the microbial virulence factor, protein A of Staphylococcus aureus, can interact with evolutionarily conserved BCR-binding sites to induce a form of Fas-independent activation-associated B cell death that results in selective immune tolerance. We now show that this in vivo death pathway is associated with induction of increased transcript and protein levels of Bim, a BH3-only proapoptotic Bcl-2 family protein, which is inhibited by excess B cell-activating factor. An absolute requirement for Bim was documented, since Bim-deficient B cells were protected from in vivo superantigen-induced death and instead underwent persistent massive supraclonal expansion without functional impairment. These studies characterize a BCR-dependent negative clonal selection pathway that has been co-opted by a common bacterial pathogen to induce selective defects in host immune defenses.
- Published
- 2007
23. Temporal and Dose-Dependent Relationships between In Vivo B Cell Receptor-Targeted Proliferation and Deletion-Induced by a Microbial B Cell Toxin
- Author
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Fujimi Sugiyama, Carl S. Goodyear, and Gregg J. Silverman
- Subjects
Time Factors ,Lymphocyte ,Immunology ,B-cell receptor ,Receptors, Antigen, B-Cell ,Biology ,Mice ,In vivo ,medicine ,Superantigen ,Animals ,Immunology and Allergy ,Staphylococcal Protein A ,Receptor ,Cells, Cultured ,B cell ,Cell Proliferation ,B-Lymphocytes ,Superantigens ,Dose-Response Relationship, Drug ,breakpoint cluster region ,Acquired immune system ,Molecular biology ,medicine.anatomical_structure ,Immunoglobulin M ,Injections, Intravenous - Abstract
The effective functioning of the adaptive immune system requires careful clonal regulation within the B cell compartment. Some microbial pathogens produce virulence factors, like staphylococcal protein A, which interact at high frequencies with B lymphocyte through unconventional binding sites in BCR variable region frameworks conserved during evolution. We have characterized the in vivo effect of staphylococcal protein A treatment on peripheral B cells bearing susceptible BCR, and found a dose-dependent direct relationship over the range of 2 mg to
- Published
- 2006
24. Exploiting the avian immunoglobulin system to simplify the generation of recombinant antibodies to allergenic proteins
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Jay E. Slater, N C deVore, William J.J. Finlay, Carl S. Goodyear, E.N. Dobrovolskaia, and A. Gam
- Subjects
Phage display ,medicine.drug_class ,Blotting, Western ,Immunology ,Immunoglobulins ,Enzyme-Linked Immunosorbent Assay ,Biology ,Monoclonal antibody ,law.invention ,Epitopes ,Western blot ,Antigen ,Antibody Specificity ,law ,Fel d 1 ,medicine ,Animals ,Immunology and Allergy ,Bacteriophages ,Electrophoresis, Gel, Two-Dimensional ,Amino Acid Sequence ,Glycoproteins ,Recombination, Genetic ,medicine.diagnostic_test ,Antibodies, Monoclonal ,Allergens ,Molecular biology ,Blot ,biology.protein ,Recombinant DNA ,Female ,Antibody ,Chickens - Abstract
Summary Background Monoclonal antibodies are a valuable tool in the study of allergens, but the technology used in their generation can be slow and labour-intensive. Therefore, we have examined recombinant antibody development by phage-display against single allergens and protein mixtures. Objective We used the avian immunoglobulin system (generated from single VH and VL genes) to provide a rapid method for generating highly specific recombinant antibody fragments from a minimal number of animals. Methods A single-chain antibody fragment (scFv) library was generated from a single chicken immunized with model allergens. ScFvs were isolated by phage-display and their properties investigated by ELISA and Western blot. Results Mono-specific scFvs were generated against recombinant Fel d 1 and native Amb a 1. Pannings against yellow jacket venom extracts only yielded clones that reacted with multiple proteins in the venom extract. The scFvs from each panning type were effectively expressed in Escherichia coli and readily purified. Highly specific and sensitive recognition of Fel d 1 and Amb a 1 was demonstrated in ELISA, with scFvs displaying antibody-concentration-dependent absorbance curves down to picogram levels of antibody. The specificity of selected antibodies for their cognate antigen was further confirmed in Western blot analysis, with scFvs directed to either Fel d 1 or Amb a 1 showing no reactivity for the other antigens used in immunization. Anti-Amb a 1 scFvs also mapped Amb a 1-isoform location in Western blot of ragweed extracts separated by 2D SDS-PAGE. DNA sequence analysis of scFvs showed that multiple different clones had been generated against Fel d 1 and Amb a 1. Using two anti-Fel d 1 scFv for ELISA analysis of Fel d 1 content in crude cat pelt extracts, we could produce data which were highly similar (P=0.33 and 0.89 by paired t-test analysis) to those obtained using conventional assays (radial immunodiffusion). Conclusion Phage-display technology may generate multiple allergen-specific recombinant antibody fragments from a single chicken, to allergens from mammalian, plant and insect sources. The resulting antibody fragments are of demonstrable use in allergen identification and quantification, in comparison with standard immunoassays.
- Published
- 2005
25. On the mechanism of staphylococcal protein A immunomodulation
- Author
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Don L. Siegel, Gregg J. Silverman, and Carl S. Goodyear
- Subjects
Virulence ,Chemistry ,Mechanism (biology) ,Staphylococcus ,Immunology ,Staphylococcal protein ,Hematology ,Computational biology ,Staphylococcal Infections ,Humans ,Immunologic Factors ,Immunology and Allergy ,Staphylococcal Protein A - Published
- 2005
26. The Autoreactivity of Anti-Phosphorylcholine Antibodies for Atherosclerosis-Associated Neo-Antigens and Apoptotic Cells
- Author
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Carl S. Goodyear, Gregg J. Silverman, Joseph L. Witztum, Mi-Kyung Chang, and Peter X. Shaw
- Subjects
Immune defense ,Arteriosclerosis ,Phosphorylcholine ,Immunology ,Apoptosis ,Thymus Gland ,Autoantigens ,Epitopes ,Mice ,chemistry.chemical_compound ,T-Lymphocyte Subsets ,medicine ,Animals ,Immunology and Allergy ,B cell ,Mice, Knockout ,Autoimmune disease ,biology ,medicine.disease ,Lipoproteins, LDL ,Mice, Inbred C57BL ,Neo antigens ,medicine.anatomical_structure ,chemistry ,Low-density lipoprotein ,Antibodies, Antiphospholipid ,biology.protein ,Binding Sites, Antibody ,Rabbits ,Antibody ,Haptens ,Oxidation-Reduction - Abstract
Abs specific for phosphorylcholine (PC) are known to contribute to the immune defense against a variety of microbial infections. To assess for other types of binding interactions, we performed surveys of anti-PC Abs of diverse biologic origins and structural diversity and demonstrated a common autoreactivity for oxidatively modified low density lipoprotein and other oxidation-specific structures containing PC-Ags. We also found that cells undergoing apoptosis sequentially express a range of oxidation-specific neo-self PC determinants. Whereas natural Abs to PC recognized cells at early stages of apoptosis, by contrast, an IgG anti-PC Ab, representative of a T cell-dependent response, recognized PC determinants primarily associated with late stages of apoptosis. Cumulatively, these results demonstrate a fundamental paradigm in which Abs from both the innate and the T cell-dependent tiers of the B cell compartment recognize a minimal molecular motif arrayed both on microbes and as neo-self Ags linked to atherosclerosis and autoimmune disease.
- Published
- 2003
27. Death by a B Cell Superantigen
- Author
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Gregg J. Silverman and Carl S. Goodyear
- Subjects
host immunity ,Staphylococcal Toxoid ,Immunology ,B-cell receptor ,Naive B cell ,Apoptosis ,chemical and pharmacologic phenomena ,Article ,Lymphocyte Depletion ,CD19 ,clonal selection ,Mice ,Antigen ,In Situ Nick-End Labeling ,medicine ,Superantigen ,Animals ,Immunology and Allergy ,Ig genes ,Gene Rearrangement, B-Lymphocyte ,B cell ,DNA Primers ,B-Lymphocytes ,tolerance ,Superantigens ,CD40 ,Base Sequence ,biology ,repertoire ,Molecular biology ,Mice, Inbred C57BL ,B-1 cell ,Phenotype ,medicine.anatomical_structure ,biology.protein - Abstract
Amongst the many ploys used by microbial pathogens to interfere with host immune responses is the production of proteins with the properties of superantigens. These properties enable superantigens to interact with conserved variable region framework subdomains of the antigen receptors of lymphocytes rather than the complementarity determining region involved in the binding of conventional antigens. To understand how a B cell superantigen affects the host immune system, we infused protein A of Staphylococcus aureus (SpA) and followed the fate of peripheral B cells expressing B cell receptors (BCRs) with VH regions capable of binding SpA. Within hours, a sequence of events was initiated in SpA-binding splenic B cells, with rapid down-regulation of BCRs and coreceptors, CD19 and CD21, the induction of an activation phenotype, and limited rounds of proliferation. Apoptosis followed through a process heralded by the dissipation of mitochondrial membrane potential, the induction of the caspase pathway, and DNA fragmentation. After exposure, B cell apoptotic bodies were deposited in the spleen, lymph nodes, and Peyer's patches. Although in vivo apoptosis did not require the Fas death receptor, B cells were protected by interleukin (IL)-4 or CD40L, or overexpression of Bcl-2. These studies define a pathway for BCR-mediated programmed cell death that is VH region targeted by a superantigen.
- Published
- 2003
28. Guidelines for the use of flow cytometry and cell sorting in immunological studies
- Author
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Guadalupe Herrera, Jens Geginat, Daryl Grummitt, Vincenzo Barnaba, Joanne Lannigan, Beate Rückert, Elisabetta Traggiai, Christian Münz, Susanne Melzer, Ari Waisman, Pratip K. Chattopadhyay, Jonas Hahn, T. Vincent Shankey, S Schmid, Julia Tornack, David W. Hedley, Paolo Dellabona, Jürgen Wienands, Ana Cumano, Ester B. M. Remmerswaal, Christopher A. Hunter, Van Duc Dang, Anis Larbi, Timothy P. Bushnell, Mor Gross, Wenjun Ouyang, Vera S. Donnenberg, Lilly Lopez, Holden T. Maecker, Jenny Mjösberg, Christina Stehle, Yanling Liu, Alan M. Stall, Anja E. Hauser, Yousuke Takahama, Mark C. Dessing, Gergely Toldi, Klaus Warnatz, Raghav Palankar, Sussan Nourshargh, Enrico Lugli, Bimba F. Hoyer, Pleun Hombrink, Bartek Rajwa, Sarah Warth, Isabel Panse, Rachael C. Walker, Silvia Piconese, Andrew Filby, Pärt Peterson, Kilian Schober, Silvia Della Bella, Leonie Wegener, Merle Stein, Anne Cooke, Alessandro Moretta, Deborah Kienhöfer, Andrea Cossarizza, Hyun-Dong Chang, Konrad von Volkmann, Jessica P. Houston, Mübeccel Akdis, Andreas Grützkau, Tristan Holland, Jakob Zimmermann, Jonni S. Moore, Dirk Mielenz, Iain B. McInnes, Bo Huang, Paulo Vieira, Thomas Kroneis, Tobit Steinmetz, Kerstin Juelke, Sharon Sanderson, James V. Watson, Srijit Khan, Sally A. Quataert, Winfried F. Pickl, Annika Wiedemann, Sara De Biasi, Andreas Radbruch, James B. Wing, Susann Müller, Ton N. Schumacher, Katy Rezvani, Gloria Martrus, Alexander Scheffold, Toralf Kaiser, Carlo Pucillo, Lara Gibellini, Anna Rubartelli, Qingyu Cheng, Luca Battistini, David Mirrer, David W. Galbraith, Giovanna Borsellino, Ryan R. Brinkman, Tim R. Mosmann, Laura G. Rico, Anita Dreher, Désirée Kunkel, Francesco Annunziato, Pia Kvistborg, Andrea Gori, Chiara Romagnani, Anat Shemer, Toshinori Nakayama, Francisco Sala-de-Oyanguren, Attila Tárnok, Alfonso Blanco, Anna Iannone, Giuseppe Matarese, Thomas Dörner, Virginia Litwin, Michael Lohoff, Petra Bacher, Jordi Petriz, Lorenzo Moretta, Götz R. A. Ehrhardt, Qianjun Zhang, Andrea Cavani, Barry Moran, Christian Maueröder, Immanuel Andrä, Dirk H. Busch, Joe Trotter, Timothy R D J Radstake, Stipan Jonjić, Fritz Melchers, Hans-Martin Jäck, Beatriz Jávega, Gerald Willimsky, Martin Büscher, Henrik E. Mei, Christine S. Falk, Zhigang Tian, Martin Herrmann, Alice Yue, Steffen Jung, Bart Everts, Frank A. Schildberg, John Bellamy Foster, Giovanna Lombardi, Milena Nasi, John P. Nolan, Todd A. Fehniger, Francesco Dieli, Steffen Schmitt, Andreas Dolf, A. Graham Pockley, Claudia Berek, Josef Spidlen, Megan K. Levings, Werner Müller, Baerbel Keller, René A. W. van Lier, Daisy Philips, Susanne Ziegler, Christian Kurts, Malgorzata J. Podolska, Jürgen Ruland, David Voehringer, Kenneth M. Murphy, Marlous van der Braber, Maria Dolores García-Godoy, Sabine Baumgart, Yi Zhao, Antonio Cosma, Falk Hiepe, Charlotte Esser, Pablo Engel, Marcello Veldhoen, Irmgard Förster, Amy E. Lovett-Racke, Günnur Deniz, Burkhard Ludewig, Esther Schimisky, Cristiano Scottà, Marcello Pinti, Jonathan Rebhahn, Regina Stark, Mario Clerici, Liping Yu, Shimon Sakaguchi, Derek Davies, Anna Katharina Simon, Lorenzo Cosmi, Gabriele Multhoff, Kamran Ghoreschi, Quirin Hammer, Henning Ulrich, J. Paul Robinson, Yvonne Samstag, Olivier Lantz, Hannes Stockinger, Xuetao Cao, Simon Fillatreau, David L. Haviland, Natalio Garbi, C. Neudörfl, Kingston H. G. Mills, Salvador Vento-Asturias, Christian Peth, Philip E. Boulais, Diether J. Recktenwald, Burkhard Becher, Tomas Kalina, Michael D. Leipold, Christoph Goettlinger, Gemma A. Foulds, Jane L. Grogan, Axel R. Schulz, James P. Di Santo, Matthias Schiemann, Michael D. Ward, Britta Engelhardt, Birgit Sawitzki, Annette Oxenius, Carl S. Goodyear, Salomé LeibundGut-Landmann, Wolfgang Beisker, Sue Chow, Carsten Watzl, Marie Follo, Erik Lubberts, Peter Wurst, Thomas Schüler, Andreas Diefenbach, Wolfgang Bauer, Hans-Dieter Volk, Luis E. Muñoz, Elmar Endl, Genny Del Zotto, José-Enrique O'Connor, Mairi McGrath, Paul S. Frenette, Dipartimento di Scienze Biomediche, Università degli Studi di Modena e Reggio Emilia (UNIMORE), Cell Biology, Klinik für Dermatologie, Venerologie und Allergologie, Department of Internal Medicine, Università degli Studi di Firenze = University of Florence [Firenze] (UNIFI)-DENOTHE Center, Neuroimmunology Unit, Santa Lucia Foundation (IRCCS), Inorganic Chemistry II, Universität Bayreuth, Caprotec Bioanalytics GmbH, International Occultation Timing Association European Section (IOTA ES), International Occultation Timing Association European Section, Institut der Leibniz-Gemeinschaft, Berlin, Fondazione Santa Lucia (IRCCS), Terry Fox Laboratory, BC Cancer Agency (BCCRC)-British Columbia Cancer Agency Research Centre, Department of Immunology, Chinese Academy of Medical Sciences, Fondazione Don Carlo Gnocchi, Immunologie des Maladies Virales et Autoimmunes (IMVA - U1184), Université Paris-Sud - Paris 11 (UP11)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut National de la Santé et de la Recherche Médicale (INSERM), Experimental Immunology Unit, Dept. of Oncology, DIBIT San Raffaele Scientific Institute, Département d'Immunologie - Department of Immunology, Institut Pasteur [Paris], Charité Hospital, Humboldt-Universität zu Berlin, Universitat de Barcelona (UB), Rheumatologie, Charité - UniversitätsMedizin = Charité - University Hospital [Berlin], Department of Internal Medicine I, University Hospital Schleswig-Holstein, Campus Kiel, Department of Histology and Embryology, University of Rijeka, Weizmann Institute of Science [Rehovot, Israël], Régulation des Infections Rétrovirales, Institutes of Molecular Medicine and Experimental Immunology, University of Bonn, Immunité et cancer (U932), Université Paris Descartes - Paris 5 (UPD5)-Institut Curie [Paris]-Institut National de la Santé et de la Recherche Médicale (INSERM), Singapore Immunology Network (SIgN), Biomedical Sciences Institute (BMSI), Institute of Virology [Zürich], College of Food Science and Technology [Shangai], Shanghai Ocean University, Institute for Medical Microbiology and Hygiene, University of Marburg, Centre for Transplantation, King's College London (MRC), Guy's Hospital [London], Erasmus University Medical Center [Rotterdam] (Erasmus MC), Unit of Clinical and Experimental Immunology, Humanitas Clinical and Research Institute, Heinrich Pette Institute [Hamburg], Institute of Translational Medicine, Department of Medicine Huddinge, Karolinska Institutet [Stockholm]-Karolinska University Hospital [Stockholm]-Lipid Laboratory, Università di Genova, Dipartimento di Medicina Sperimentale, Department of Environmental Microbiology, Helmholtz Zentrum für Umweltforschung = Helmholtz Centre for Environmental Research (UFZ), Experimental Immunology, Helmholtz Centre for Infection Research (HZI), Viral Immunobiology, Universität Zürich [Zürich] = University of Zurich (UZH)-Institute of Experimental Immunology [Zurich], Department of Radiation Oncology [Munich], Ludwig-Maximilians-Universität München (LMU), Department of Mathematics and Statistics, American University, William Harvey Research Institute, Barts and the London Medical School, Cytometry Laboratories and School of Veterinary Medicine, Purdue University [West Lafayette], Osaka University [Osaka], FACS and Array Core Facility, Johannes Gutenberg - Universität Mainz (JGU), Institute for Cognitive Science, University of Osnabrueck, Department of Molecular Immunology, Medizinische Universität Wien = Medical University of Vienna, Universität Leipzig [Leipzig], Institute of Immunology, School of Life Sciences-University of Science & Technology of China [Suzhou], Lymphopoïèse (Lymphopoïèse (UMR_1223 / U1223 / U-Pasteur_4)), Institut Pasteur [Paris]-Université Paris Diderot - Paris 7 (UPD7)-Institut National de la Santé et de la Recherche Médicale (INSERM), Institute for Immunology, Processus de Transfert et d'Echanges dans l'Environnement - EA 3819 (PROTEE), Université de Toulon (UTLN), Heinrich-Pette-Institut, Leibniz Institute for Experimental Virology, Enrico Lugli and Pratip K. Chattopadhyay were supported by grants from the Fondazione Cariplo (Grant Ricerca Biomedica 2012/0683), the Italian Ministry of Health (Bando Giovani Ricercatori GR-2011-02347324) and the European Union Marie Curie Career Integration Grant 322093 (all to E.L.). E.L. and P.K.C. are International Society for the Advancement of Cytometry (ISAC) Marylou Ingram scholars. Alice Yue and Ryan R. Brinkman were funded by Genome BC and NSERC. Klaus Warnatz received funding from the German Federal Ministry of Education and Research (BMBF 01EO1303) and the Deutsche Forschungsgemeinschaft (DECIDE, DFG WA 1597/4-1 and the TRR130). The Jung laboratory is supported by funds of the ERC and ISF. Henrik Mei is a 2017-2021 ISAC scholar. Antonio Cosma is supported by the French government program: 'Investissement d'avenir: Equipements d'Excellence' (EQUIPEX)-2010 FlowCyTech, Grant number: ANR-10-EQPX-02-01. Henrik Mei is supported by the Deutsche Forschungsgemeinschaft (DFG, grants Me3644/5-1 and TRR130/TP24)., Università degli Studi di Modena e Reggio Emilia = University of Modena and Reggio Emilia (UNIMORE), Università degli Studi di Firenze = University of Florence (UniFI)-DENOTHE Center, Institut Pasteur [Paris] (IP), Humboldt University Of Berlin, Universität Bonn = University of Bonn, Università degli studi di Genova = University of Genoa (UniGe), Johannes Gutenberg - Universität Mainz = Johannes Gutenberg University (JGU), Universität Leipzig, Institut Pasteur [Paris] (IP)-Université Paris Diderot - Paris 7 (UPD7)-Institut National de la Santé et de la Recherche Médicale (INSERM), Obstetrics & Gynecology, Rheumatology, Pediatrics, Landsteiner Laboratory, Other departments, AII - Inflammatory diseases, Università di Modena e Reggio Emilia, DENOTHE Center-University of Florence, Santa Lucia Foundation ( IRCCS ), International Occultation Timing Association European Section ( IOTA ES ), Fondazione Santa Lucia ( IRCCS ), BC Cancer Agency ( BCCRC ) -British Columbia Cancer Agency Research Centre, Fondazione don Carlo Gnocchi, Fondazione IRCCS, Immunologie des Maladies Virales et Autoimmunes ( IMVA - U1184 ), Université Paris-Sud - Paris 11 ( UP11 ) -Commissariat à l'énergie atomique et aux énergies alternatives ( CEA ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ), Département d'Immunologie, Humboldt Universität zu Berlin, Universitat de Barcelona ( UB ), Charité, Weizmann Institute of Science, Université de Bonn, Immunité et cancer ( U932 ), Université Paris Descartes - Paris 5 ( UPD5 ) -Institut Curie-Institut National de la Santé et de la Recherche Médicale ( INSERM ), Singapore Immunology Network ( SIgN ), Agency for Science Technology and Research, College of Food Science and Technology, Centre for Transplantation, King's College London ( MRC ), Erasmus MC University Medical Center, Helmholtz Centre for Environmental Research ( UFZ ), Helmholtz Centre for Infection Research ( HZI ), University of Zürich [Zürich] ( UZH ) -Institute of Experimental Immunology [Zurich], Ludwig-Maximilians-Universität München, Johannes Gutenberg - Universität Mainz ( JGU ), Medical University of Vienna, Lymphopoïèse, Institut Pasteur [Paris]-Institut National de la Santé et de la Recherche Médicale ( INSERM ), Johannes Gutenberg - University of Mainz ( JGU ), Processus de Transfert et d'Echanges dans l'Environnement - EA 3819 ( PROTEE ), Université de Toulon ( UTLN ), Universita degli studi di Genova, Cossarizza, Andrea, Chang, Hyun-Dong, Radbruch, Andrea, Akdis, Mübeccel, Andrä, Immanuel, Annunziato, Francesco, Bacher, Petra, Barnaba, Vincenzo, Battistini, Luca, Bauer, Wolfgang M., Baumgart, Sabine, Becher, Burkhard, Beisker, Wolfgang, Berek, Claudia, Blanco, Alfonso, Borsellino, Giovanna, Boulais, Philip E., Brinkman, Ryan R., Büscher, Martin, Busch, Dirk H., Bushnell, Timothy P., Cao, Xuetao, Cavani, Andrea, Chattopadhyay, Pratip K., Cheng, Qingyu, Chow, Sue, Clerici, Mario, Cooke, Anne, Cosma, Antonio, Cosmi, Lorenzo, Cumano, Ana, Dang, Van Duc, Davies, Derek, De Biasi, Sara, Del Zotto, Genny, Della Bella, Silvia, Dellabona, Paolo, Deniz, Günnur, Dessing, Mark, Diefenbach, Andrea, Di Santo, Jame, Dieli, Francesco, Dolf, Andrea, Donnenberg, Vera S., Dörner, Thoma, Ehrhardt, Götz R. A., Endl, Elmar, Engel, Pablo, Engelhardt, Britta, Esser, Charlotte, Everts, Bart, Dreher, Anita, Falk, Christine S., Fehniger, Todd A., Filby, Andrew, Fillatreau, Simon, Follo, Marie, Förster, Irmgard, Foster, John, Foulds, Gemma A., Frenette, Paul S., Galbraith, David, Garbi, Natalio, García-Godoy, Maria Dolore, Geginat, Jen, Ghoreschi, Kamran, Gibellini, Lara, Goettlinger, Christoph, Goodyear, Carl S., Gori, Andrea, Grogan, Jane, Gross, Mor, Grützkau, Andrea, Grummitt, Daryl, Hahn, Jona, Hammer, Quirin, Hauser, Anja E., Haviland, David L., Hedley, David, Herrera, Guadalupe, Herrmann, Martin, Hiepe, Falk, Holland, Tristan, Hombrink, Pleun, Houston, Jessica P., Hoyer, Bimba F., Huang, Bo, Hunter, Christopher A., Iannone, Anna, Jäck, Hans-Martin, Jávega, Beatriz, Jonjic, Stipan, Juelke, Kerstin, Jung, Steffen, Kaiser, Toralf, Kalina, Toma, Keller, Baerbel, Khan, Srijit, Kienhöfer, Deborah, Kroneis, Thoma, Kunkel, Désirée, Kurts, Christian, Kvistborg, Pia, Lannigan, Joanne, Lantz, Olivier, Larbi, Ani, LeibundGut-Landmann, Salome, Leipold, Michael D., Levings, Megan K., Litwin, Virginia, Liu, Yanling, Lohoff, Michael, Lombardi, Giovanna, Lopez, Lilly, Lovett-Racke, Amy, Lubberts, Erik, Ludewig, Burkhard, Lugli, Enrico, Maecker, Holden T., Martrus, Glòria, Matarese, Giuseppe, Maueröder, Christian, Mcgrath, Mairi, Mcinnes, Iain, Mei, Henrik E., Melchers, Fritz, Melzer, Susanne, Mielenz, Dirk, Mills, Kingston, Mirrer, David, Mjösberg, Jenny, Moore, Jonni, Moran, Barry, Moretta, Alessandro, Moretta, Lorenzo, Mosmann, Tim R., Müller, Susann, Müller, Werner, Münz, Christian, Multhoff, Gabriele, Munoz, Luis Enrique, Murphy, Kenneth M., Nakayama, Toshinori, Nasi, Milena, Neudörfl, Christine, Nolan, John, Nourshargh, Sussan, O'Connor, José-Enrique, Ouyang, Wenjun, Oxenius, Annette, Palankar, Raghav, Panse, Isabel, Peterson, Pärt, Peth, Christian, Petriz, Jordi, Philips, Daisy, Pickl, Winfried, Piconese, Silvia, Pinti, Marcello, Pockley, A. Graham, Podolska, Malgorzata Justyna, Pucillo, Carlo, Quataert, Sally A., Radstake, Timothy R. D. J., Rajwa, Bartek, Rebhahn, Jonathan A., Recktenwald, Diether, Remmerswaal, Ester B. M., Rezvani, Katy, Rico, Laura G., Robinson, J. Paul, Romagnani, Chiara, Rubartelli, Anna, Ruckert, Beate, Ruland, Jürgen, Sakaguchi, Shimon, Sala-de-Oyanguren, Francisco, Samstag, Yvonne, Sanderson, Sharon, Sawitzki, Birgit, Scheffold, Alexander, Schiemann, Matthia, Schildberg, Frank, Schimisky, Esther, Schmid, Stephan A., Schmitt, Steffen, Schober, Kilian, Schüler, Thoma, Schulz, Axel Ronald, Schumacher, Ton, Scotta, Cristiano, Shankey, T. Vincent, Shemer, Anat, Simon, Anna-Katharina, Spidlen, Josef, Stall, Alan M., Stark, Regina, Stehle, Christina, Stein, Merle, Steinmetz, Tobit, Stockinger, Hanne, Takahama, Yousuke, Tarnok, Attila, Tian, Zhigang, Toldi, Gergely, Tornack, Julia, Traggiai, Elisabetta, Trotter, Joe, Ulrich, Henning, van der Braber, Marlou, van Lier, René A. W., Veldhoen, Marcello, Vento-Asturias, Salvador, Vieira, Paulo, Voehringer, David, Volk, Hans-Dieter, von Volkmann, Konrad, Waisman, Ari, Walker, Rachael, Ward, Michael D., Warnatz, Klau, Warth, Sarah, Watson, James V., Watzl, Carsten, Wegener, Leonie, Wiedemann, Annika, Wienands, Jürgen, Willimsky, Gerald, Wing, Jame, Wurst, Peter, Yu, Liping, Yue, Alice, Zhang, Qianjun, Zhao, Yi, Ziegler, Susanne, Zimmermann, Jakob, Cossarizza, A., Chang, H., Radbruch, A., Akdis, M., Andrã¤, I., Annunziato, F., Bacher, P., Barnaba, V., Battistini, L., Bauer, W., Baumgart, S., Becher, B., Beisker, W., Berek, C., Blanco, A., Borsellino, G., Boulais, P., Brinkman, R., Bã¼scher, M., Busch, D., Bushnell, T., Cao, X., Cavani, A., Chattopadhyay, P., Cheng, Q., Chow, S., Clerici, M., Cooke, A., Cosma, A., Cosmi, L., Cumano, A., Dang, V., Davies, D., De Biasi, S., Del Zotto, G., Della Bella, S., Dellabona, P., Deniz, G., Dessing, M., Diefenbach, A., Di Santo, J., Dieli, F., Dolf, A., Donnenberg, V., Dã¶rner, T., Ehrhardt, G., Endl, E., Engel, P., Engelhardt, B., Esser, C., Everts, B., Dreher, A., Falk, C., Fehniger, T., Filby, A., Fillatreau, S., Follo, M., Fã¶rster, I., Foster, J., Foulds, G., Frenette, P., Galbraith, D., Garbi, N., GarcÃa-Godoy, M., Geginat, J., Ghoreschi, K., Gibellini, L., Goettlinger, C., Goodyear, C., Gori, A., Grogan, J., Gross, M., Grã¼tzkau, A., Grummitt, D., Hahn, J., Hammer, Q., Hauser, A., Haviland, D., Hedley, D., Herrera, G., Herrmann, M., Hiepe, F., Holland, T., Hombrink, P., Houston, J., Hoyer, B., Huang, B., Hunter, C., Iannone, A., Jã¤ck, H., Jã¡vega, B., Jonjic, S., Juelke, K., Jung, S., Kaiser, T., Kalina, T., Keller, B., Khan, S., Kienhã¶fer, D., Kroneis, T., Kunkel, D., Kurts, C., Kvistborg, P., Lannigan, J., Lantz, O., Larbi, A., LeibundGut-Landmann, S., Leipold, M., Levings, M., Litwin, V., Liu, Y., Lohoff, M., Lombardi, G., Lopez, L., Lovett-Racke, A., Lubberts, E., Ludewig, B., Lugli, E., Maecker, H., Martrus, G., Matarese, G., Mauerã¶der, C., Mcgrath, M., Mcinnes, I., Mei, H., Melchers, F., Melzer, S., Mielenz, D., Mills, K., Mirrer, D., Mjã¶sberg, J., Moore, J., Moran, B., Moretta, A., Moretta, L., Mosmann, T., Mã¼ller, S., Mã¼ller, W., Mã¼nz, C., Multhoff, G., Munoz, L., Murphy, K., Nakayama, T., Nasi, M., Neudã¶rfl, C., Nolan, J., Nourshargh, S., O'Connor, J., Ouyang, W., Oxenius, A., Palankar, R., Panse, I., Peterson, P., Peth, C., Petriz, J., Philips, D., Pickl, W., Piconese, S., Pinti, M., Pockley, A., Podolska, M., Pucillo, C., Quataert, S., Radstake, T., Rajwa, B., Rebhahn, J., Recktenwald, D., Remmerswaal, E., Rezvani, K., Rico, L., Robinson, J., Romagnani, C., Rubartelli, A., Ruckert, B., Ruland, J., Sakaguchi, S., Sala-de-Oyanguren, F., Samstag, Y., Sanderson, S., Sawitzki, B., Scheffold, A., Schiemann, M., Schildberg, F., Schimisky, E., Schmid, S., Schmitt, S., Schober, K., Schã¼ler, T., Schulz, A., Schumacher, T., Scotta, C., Shankey, T., Shemer, A., Simon, A., Spidlen, J., Stall, A., Stark, R., Stehle, C., Stein, M., Steinmetz, T., Stockinger, H., Takahama, Y., Tarnok, A., Tian, Z., Toldi, G., Tornack, J., Traggiai, E., Trotter, J., Ulrich, H., van der Braber, M., van Lier, R., Veldhoen, M., Vento-Asturias, S., Vieira, P., Voehringer, D., Volk, H., von Volkmann, K., Waisman, A., Walker, R., Ward, M., Warnatz, K., Warth, S., Watson, J., Watzl, C., Wegener, L., Wiedemann, A., Wienands, J., Willimsky, G., Wing, J., Wurst, P., Liping, Y., Yue, A., Zhang, Q., Zhao, Y., Ziegler, S., and Zimmermann, J.
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0301 basic medicine ,T-Lymphocytes ,Cell Separation ,T cell precursors ,0302 clinical medicine ,Immunophenotyping ,Human lymphopoiesis ,[ SDV.IMM ] Life Sciences [q-bio]/Immunology ,Immunology and Allergy ,Non-U.S. Gov't ,Immunologic Technique ,medicine.diagnostic_test ,Research Support, Non-U.S. Gov't ,virus diseases ,hemic and immune systems ,False Positive Reaction ,Cell sorting ,Flow Cytometry ,natural killer and innate lymphoid cells differentiation ,3. Good health ,Research Design ,[SDV.IMM]Life Sciences [q-bio]/Immunology ,Human ,Quality Control ,medicine.drug_class ,Immunology ,Animals ,Cell Proliferation ,DNA ,False Positive Reactions ,Humans ,RNA ,Software ,Guidelines as Topic ,Immunologic Techniques ,chemical and pharmacologic phenomena ,Computational biology ,Biology ,Monoclonal antibody ,Research Support ,Article ,Flow cytometry ,N.I.H ,03 medical and health sciences ,Immune system ,Research Support, N.I.H., Extramural ,medicine ,early lymphoid progenitors ,Journal Article ,Mass cytometry ,IMUNOLOGIA ,Animal ,Extramural ,B cell ontogeny ,030104 developmental biology ,T-Lymphocyte ,Cytometry ,030215 immunology - Abstract
The marriage between immunology and cytometry is one of the most stable and productive in the recent history of science. A rapid search in PubMed shows that, as of July 2017, using “flow cytometry immunology” as a search term yields more than 68 000 articles, the first of which, interestingly, is not about lymphocytes. It might be stated that, after a short engagement, the exchange of the wedding rings between immunology and cytometry officially occurred when the idea to link fluorochromes to monoclonal antibodies came about. After this, recognizing different types of cells became relatively easy and feasible not only by using a simple fluorescence microscope, but also by a complex and sometimes esoteric instrument, the flow cytometer that is able to count hundreds of cells in a single second, and can provide repetitive results in a tireless manner. Given this, the possibility to analyse immune phenotypes in a variety of clinical conditions has changed the use of the flow cytometer, which was incidentally invented in the late 1960s to measure cellular DNA by using intercalating dyes, such as ethidium bromide. The epidemics of HIV/AIDS in the 1980s then gave a dramatic impulse to the technology of counting specific cells, since it became clear that the quantification of the number of peripheral blood CD4+ T cells was crucial to follow the course of the infection, and eventually for monitoring the therapy. As a consequence, the development of flow cytometers that had to be easy-to-use in all clinical laboratories helped to widely disseminate this technology. Nowadays, it is rare to find an immunological paper or read a conference abstract in which the authors did not use flow cytometry as the main tool to dissect the immune system and identify its fine and complex functions. Of note, recent developments have created the sophisticated technology of mass cytometry, which is able to simultaneously identify dozens of molecules at the single cell level and allows us to better understand the complexity and beauty of the immune system.
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- 2017
29. Glycolipid antigens and autoantibodies in autoimmune neuropathies
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Carl S. Goodyear and Hugh J. Willison
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Glycan ,biology ,Mechanism (biology) ,Lymphocyte ,Immunology ,Molecular Mimicry ,Autoantibody ,medicine.disease_cause ,Guillain-Barre Syndrome ,Autoantigens ,carbohydrates (lipids) ,Molecular mimicry ,medicine.anatomical_structure ,Glycolipid ,Antigen ,medicine ,biology.protein ,Immunology and Allergy ,Animals ,Humans ,Antibody ,Glycolipids ,Autoantibodies - Abstract
Autoantibodies to glycans present on glycolipids mediate the postinfectious paralytic disease, Guillain–Barre syndrome (GBS). These glycans are also found on lipo-oligosaccharides (LOSs) of GBS-inducing microbes, suggesting molecular mimicry as a mechanism for disease induction. How B lymphocyte tolerance to self-glycans is regulated during the initiation phase of the disease is currently under investigation. The discovery of antiglycolipid antibodies that bind to heteromeric glycolipid complexes has generated new insights in this field. Heteromeric complexes are structurally distinct glycolipids that interact to form new molecular shapes capable of either enhancing or attenuating recognition by autoantibodies. Although the principles emerging from this phenomenon have a substantial impact on diagnostics methods, they also raise intriguing questions about the diversity of innate antibody repertoires, mechanisms of tolerance, and autoantibody targeting of neural membranes.
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- 2013
30. AB0074 The Effect of Extracellular Vesicles on Human in Vitro Osteoclastogenesis in Health and in Arthritis
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Orsolya Tünde Kovács, Florian M. P. Meier, G.S. Nagy, Eszter Baricza, Iain B. McInnes, Carl S. Goodyear, David Gyori, Nikolett Marton, Edit I. Buzás, and Attila Mócsai
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biology ,business.industry ,CD14 ,Immunology ,Cell ,Arthritis ,medicine.disease ,Peripheral blood mononuclear cell ,Molecular biology ,General Biochemistry, Genetics and Molecular Biology ,Microvesicles ,In vitro ,medicine.anatomical_structure ,Rheumatology ,Osteoclast ,RANKL ,medicine ,biology.protein ,Immunology and Allergy ,business - Abstract
Background Extracellular vesicles (EVs) like microvesicles (MVs) and exosomes (EXOs) are released in an evolutionary conserved manner by cells. EVs mediate intercellular communication with the transmission of molecules from their parent cell to their targets. Objectives Our objective was to investigate the effect of EVs on human in vitro osteoclastogenesis in healthy donors, rheumatoid arthritis (RA) and psoriatic arthritis (PsA) patients. Methods Blood samples of healthy volunteers, RA patients and PsA patients with peripheral arthritis were collected. EVs were isolated by filtration and differential centrifugation. CD14+ cells were isolated from PBMCs by using positive selection, and the cells were stimulated with 50 ng/ml recombinant human M-CSF for 24 hrs. Then the samples were treated with 50 ng/ml recombinant human RANKL and blood-derived microvesicles or exosomes. After 7 days, the cells were fixed and stained for tartarate resistant acid phosphatase (TRAP). TRAP-positive cells with at least 3 nuclei were considered as osteoclasts and counted by using the ImageJ software. Results Healthy and RA-derived exosomes significantly (p Conclusions Our data suggest that EXOs profoundly regulate human osteoclastogenesis. PsA-derived EXOs stimulate, while healthy and RA-derived EXOs inhibit the osteoclast differentiation. Disclosure of Interest None declared
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- 2016
31. A7.21 The effect of extracellular vesicles on humanin vitroosteoclastogenesis
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Florian M. P. Meier, Gy Nagy, Iain B. McInnes, Orsolya Tünde Kovács, Carl S. Goodyear, Nikolett Marton, Attila Mócsai, Eszter Baricza, Edit I. Buzás, and Dávid Győri
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Pathology ,medicine.medical_specialty ,biology ,medicine.diagnostic_test ,Immunology ,Arthritis ,medicine.disease ,Molecular biology ,Peripheral blood mononuclear cell ,General Biochemistry, Genetics and Molecular Biology ,Microvesicles ,Flow cytometry ,Acid-citrate-dextrose ,Rheumatology ,RANKL ,biology.protein ,medicine ,Immunology and Allergy ,Antibody ,Tartrate-resistant acid phosphatase - Abstract
Introduction Extracellular vesicles (EV) are subcellular sized intercellular messengers, which are present in various biological fluids. EVs carry a wide variety of biomolecules and they may alter the recipient cells’ functions. The microvesicles are plasma membrane derived EVs; the exosomes, the smallest vesicles, originate from the endosome. Our objectives were to investigate the effect of EVs on the human in vitro osteoclastogenesis, and to characterise the serum EV profile of healthy donors, rheumatoid arthritis (RA) and psoriatic arthritis (PsA) patients. Methods Blood samples of healthy volunteers, RA patients and PsA patients with peripheral arthritis were collected into acid citrate dextrose vacutainer tubes. EVs were isolated by filtration and centrifugation. EV samples were stained with fluorescent anti-CD3, CD14, CD15, CD19, CD42b, CD235a antibodies (BioLegend) and detected by flow cytometry. CD14 + cells were extracted from PBMCs by using positive selection method (StemCell), and the cells were stimulated with 50 ng/ml recombinant human M-CSF for 24 hrs (PeproTech). Then the samples were treated with 50–50 ng/ml recombinant human M-CSF and RANKL (PeproTech) and with or without blood derived microvesicles or exosomes. After 7 days, the cells were fixed and stained for tartrate resistant acid phosphatase (TRAP) using a commercially available kit (Sigma) . TRAP-positive cells with at least 3 nuclei were considered as osteoclasts and counted by using the ImageJ software. Results RA and PsA EV samples showed increased expression of lymphocyte markers (CD3, CD19) compared to healthy donor-derived EVs (n = 6). Microvesicles did not alter the number of mature osteoclasts. By contrast, exosomes significantly (p Conclusion Our present data suggest that the plasma profile of EVs might be altered in active arthritis compared to physiological condition, and exosomes or their cargo can regulate the human osteoclastogenesis.
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- 2016
32. A10.07 The kinetic cytokine/chemokine secretory profile in surgical models of osteoarthritis
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John C. Lockhart, Ana C. Ortiz, Carmen Huesa, Lynette Dunning, Anne Crilly, I.B. McInnes, Carl S. Goodyear, and William R. Ferrell
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Pathology ,medicine.medical_specialty ,business.industry ,Cartilage ,Anterior cruciate ligament ,Patellar ligament ,Immunology ,Arthritis ,Osteoarthritis ,musculoskeletal system ,medicine.disease ,General Biochemistry, Genetics and Molecular Biology ,medicine.anatomical_structure ,Rheumatology ,medicine ,Monoarthritis ,Immunology and Allergy ,business ,Medial meniscus ,Explant culture - Abstract
Background and objectives Destabilisation of the medial meniscus (DMM) and section of the anterior cruciate ligament (ACL) are commonly used in vivo models of osteoarthritis (OA). Using explant culture, the secretory profile of synovium and patellar ligament was evaluated in DMM and ACL models. Material and methods All murine procedures were Home Office (UK) approved. OA was induced in 10–12 week old C57BL/6 male mice by either DMM or ACL (1). SHAM and naive animals were used as controls. Knee joint diameter (KJD) was assessed prior to induction of arthritis and every three days thereafter. At 4 and 12 weeks post-surgery, synovium and patellar ligament were harvested and used for explant culture. Supernatants were collected after 4 h and analysed by Luminex. In parallel experiments, joints were collected for histological analysis ofF4/80+, IL-33+ and CCR4+ cells in synovium and ligaments. Freund’s complete adjuvant (FCA) monoarthritis model was used as a positive control of inflammatory joint disease. Data were expressed as mean values ±SEM (n = 6) and analysed using a 1 or 2 way ANOVA, with p Results At 4 weeks post-surgery no change in KJD was observed in either DMM or ACL. Nonetheless, secretion of MIP-1β/CCL4 was significantly increased in explant cultures from DMM and ACL compared to naive controls (p Conclusion This study characterised the secretory profile of DMM and ACL joint tissue at 4 and 12 weeks post-surgery. This profile alters with time, with reduced IL-33 and an absence of CCL4 at 12 weeks. The potential role of IL-33 and CCL4 in the early and late stage pathogenesis of these OA models merits further investigation. Reference Glasson SS, et al. The surgical destabilization of the medial meniscus (DMM) model of osteoarthritis in the 129/SvEv mouse. Osteoarthritis Cartilage. 2007;15(9):1061–1069
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- 2016
33. A1.10 The GM-CSF/CCL17 axis in the rheumatoid synovial environment
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MJ Robinson, Carl S. Goodyear, CD Ellson, I.B. McInnes, SV Kidger, and Matthew A. Sleeman
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Chemokine ,biology ,Monocyte ,Growth factor ,medicine.medical_treatment ,Immunology ,General Biochemistry, Genetics and Molecular Biology ,medicine.anatomical_structure ,Immune system ,Cytokine ,Rheumatology ,biology.protein ,medicine ,Immunology and Allergy ,CCL17 ,Synovial fluid ,Cytokine secretion - Abstract
Background and objectives GM-CSF is a pivotal growth factor/cytokine that can drive aspects of RAimmunopathogenesis. In particular, GM-CSF can activate monocytes and induce their differentiation towards alternative phenotypes. The synovial environment also contains additional factors that can influence monocyte activation such as damage associated molecular patterns (DAMPs); many of which signal via TLR4. However, the impact of GM-CSF on monocytes in a synovial setting is not well understood and therefore we aimed to investigate the response of monocytes to GM-CSF in the context of synovial fluid (SF) co-stimulation. Materials and methods Monocytes isolated from human blood or murine bone marrow were cultured in the presence or absence of GM-CSF (1ng/ml) and co-stimulated with SF (2.5%/5%) from RA or OA patients. Supernatants were harvested after 24 h and chemokine and cytokine secretion was analysed by ELISA and/or MSD. Immune complexes were made by incubating human IgG and Staphylococcal Protein A at a ratio of 4:2 respectively. Results Monocytes from healthy individuals and RA patients, secreted substantial amounts of CCL17 upon stimulation with GM-CSF. In healthy monocytes, GM-CSF driven induction of CCL17 was significantly inhibited (P Conclusions GM-CSF induced production of CCL17 in monocytes is inhibited by RA-SF. The underlying mechanism is not known, however, our work shows that it is TLR-independent and downstream of STAT5 phosphorylation. Immune complexes also inhibit GM-CSF induction of CCL17 suggesting these may contribute to the phenomenon.
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- 2016
34. Co-opting endogenous immunoglobulin for the regulation of inflammation and osteoclastogenesis in humans and mice
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Susan M. Kitson, Carl S. Goodyear, Lindsay M. Maclellan, Robert J. B. Nibbs, Fujimi Sugiyama, Stephen A. Beers, Katja Thümmler, Jennifer Montgomery, Iain B. McInnes, and Gregg J. Silverman
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musculoskeletal diseases ,Cellular differentiation ,Immunology ,Arthritis ,Immunoglobulins ,Osteoclasts ,Inflammation ,Antigen-Antibody Complex ,Article ,Osteoclast maturation ,Mice ,Rheumatology ,medicine ,Immunology and Allergy ,Animals ,Humans ,Pharmacology (medical) ,Receptor ,Staphylococcal Protein A ,Cells, Cultured ,Cell Proliferation ,Mice, Knockout ,biology ,Macrophages ,Stem Cells ,Receptors, IgG ,Cell Differentiation ,medicine.disease ,Arthritis, Experimental ,In vitro ,Mice, Inbred C57BL ,Disease Models, Animal ,Mice, Inbred DBA ,Antirheumatic Agents ,biology.protein ,Leukocytes, Mononuclear ,Cytokines ,Stem cell ,Antibody ,medicine.symptom - Abstract
Objective Cells of the monocytic lineage play fundamental roles in the regulation of health, ranging from the initiation and resolution of inflammation to bone homeostasis. In rheumatoid arthritis (RA), the inflamed synovium exhibits characteristic infiltration of macrophages along with local osteoclast maturation, which, together, drive chronic inflammation and downstream articular destruction. The aim of this study was to explore an entirely novel route of immunoglobulin-mediated regulation, involving simultaneous suppression of the inflammatory and erosive processes in the synovium. Methods Using in vivo and in vitro studies of human cells and a murine model of RA, the ability of staphylococcal protein A (SPA) to interact with and modulate cells of the monocytic lineage was tested. In addition, the efficacy of SPA as a therapeutic agent was evaluated in murine collagen-induced arthritis (CIA). Results SPA showed a capacity to appropriate circulating IgG, by generating small immunoglobulin complexes that interacted with monocytes, macrophages, and preosteoclasts. Formation of these complexes resulted in Fcγ receptor type I–dependent polarization of macrophages to a regulatory phenotype, rendering them unresponsive to activators such as interferon-γ. The antiinflammatory complexes also had the capacity to directly inhibit differentiation of preosteoclasts into osteoclasts in humans. Moreover, administration of SPA in the early stages of disease substantially alleviated the clinical and histologic erosive features of CIA in mice. Conclusion These findings demonstrate the overarching utility of immunoglobulin complexes for the prevention and treatment of inflammatory diseases. The results shed light on the interface between immunoglobulin complex–mediated pathways, osteoclastogenesis, and associated pathologic processes. Thus, therapeutic agents designed to harness all of these properties may be an effective treatment for arthritis, by targeting both the innate inflammatory response and prodestructive pathways.
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- 2011
35. Regulation of dendritic cells and macrophages by an anti-apoptotic cell natural antibody that suppresses TLR responses and inhibits inflammatory arthritis
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Gregg J. Silverman, Dwight H. Kono, David L. Boyle, Caroline Grönwall, Yong Beom Park, Carl S. Goodyear, Steffen Thiel, Maripat Corr, Yifang Chen, Eyal Raz, Sahil Khanna, and Jaya Vas
- Subjects
Male ,Chemokine ,Immunology ,Inflammation ,Apoptosis ,Biology ,Mannose-Binding Lectin ,Antibodies ,Article ,Proinflammatory cytokine ,Cell Line ,Mice ,Immune system ,Phagocytosis ,medicine ,Immunology and Allergy ,Animals ,Homeostasis ,B-Lymphocytes ,Complement C1q ,Macrophages ,Toll-Like Receptors ,TLR7 ,Dendritic Cells ,Arthritis, Experimental ,Immunity, Innate ,Cell biology ,Immunoglobulin M ,Cell culture ,TLR3 ,TLR4 ,biology.protein ,medicine.symptom - Abstract
Although natural Abs (NAbs) are present from birth, little is known about what drives their selection and whether they have housekeeping functions. The prototypic T15-NAb, first identified because of its protective role in infection, is representative of a special type of NAb response that specifically recognizes and forms complexes with apoptotic cells and which promotes cell-corpse engulfment by phagocytes. We now show that this T15-NAb IgM-mediated clearance process is dependent on the recruitment of C1q and mannose-binding lectin, which have known immune modulatory activities that also provide “eat me” signals for enhancing phagocytosis. Further investigation revealed that the addition of T15-NAb significantly suppressed in vitro LPS-induced TNF-α and IL-6 secretion by the macrophage-like cell line, RAW264.7, as well as TLR3-, TLR4-, TLR7-, and TLR9-induced maturation and secretion of a range of proinflammatory cytokines and chemokines by bone marrow-derived conventional dendritic cells. Significantly, high doses of this B-1 cell produced NAb also suppressed in vivo TLR-induced proinflammatory responses. Although infusions of apoptotic cells also suppressed such in vivo inflammatory responses and this effect was associated with the induction of high levels of IgM antiapoptotic cell Abs, apoptotic cell treatment was not effective at suppressing such TLR responses in B cell-deficient mice. Moreover, infusions of T15-NAb also efficiently inhibited both collagen-induced arthritis and anti-collagen II Ab-mediated arthritis. These studies identify and characterize a previously unknown regulatory circuit by which a NAb product of innate-like B cells aids homeostasis by control of fundamental inflammatory pathways.
- Published
- 2009
36. Genetic imprinting of autoantibody repertoires in systemic lupus erythematosus patients
- Author
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E. M. Ginzler, K. A. Andrews, B. P. Tsao, Gregg J. Silverman, Carl S. Goodyear, R. Srikrishnan, and Kristine Germar
- Subjects
Adult ,Proteomics ,Microarray ,Translational Studies ,Immunology ,medicine.disease_cause ,Autoantigens ,Autoimmunity ,Genomic Imprinting ,Antigen ,medicine ,Immunology and Allergy ,Humans ,Lupus Erythematosus, Systemic ,Autoantibodies ,Oligonucleotide Array Sequence Analysis ,Autoimmune disease ,Systemic lupus erythematosus ,biology ,Phosphorylcholine ,Autoantibody ,Middle Aged ,medicine.disease ,Immunoglobulin M ,Immunoglobulin G ,biology.protein ,Female ,Immunosuppressive Agents - Abstract
Summary Systemic lupus erythematosus (SLE) is an autoimmune disease distinguished by great heterogeneity in clinical manifestations and autoantibody expression. While only a handful of autoantibody specificities have proved useful for clinical diagnosis, to characterize complex lupus-associated autoantibody profiles more fully we have applied proteome microarray technology. Our multiplex microarrays included control ligands and 65-autoantigens, which represent diverse nuclear and cytoplasmic antigens recognized by disease-associated and natural autoantibodies. From longitudinal surveys of unrelated SLE patients, we found that autoantibody profile patterns can be patient-specific and highly stable overtime. From profiles of 38 SLE patients that included 14 sets of SLE twins, autoantibodies to the phospholipid neo-determinants, malondialdehyde (MDA) and phosphorylcholine (PC), which are exposed on apoptotic but not healthy cells, were among the most prevalent and highly expressed. We also found that immunoglobulin M (IgM) reactivity to MDA and PC ligands had significant direct correlations with DNA-containing antigens, while such a general relationship was not found with a panel of RNA-related antigens, or for IgG-autoantibodies. Significantly, hierarchical analysis revealed co-distribution/clustering of the IgM autoantibody repertoire patterns for six of 14 twin sets, and such patterns were even more common (10 of 14) for IgG autoantibody profiles. Our findings highlight the potentially distinct roles of IgM and IgG autoantibodies, as we postulate that the direct correlations for IgM autoantibodies to DNA antigens with apoptosis-related determinants may be due to co-expression arising from common pro-homeostatic protective roles. In contrast, the sharing of IgG autoantibody fingerprints by monozygotic twins suggests that lupus IgG autoantibodies can arise in predisposed individuals in genetically determined patterns.
- Published
- 2008
37. Glycosphingolipid depletion in PC12 cells using iminosugars protects neuronal membranes from anti-ganglioside antibody mediated injury
- Author
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Frances M. Platt, Hugh J. Willison, Kate Townson, Anneliese O. Speak, Carl S. Goodyear, and Kay N. Greenshields
- Subjects
Lysis ,1-Deoxynojirimycin ,Immunology ,Iminosugar ,Neuroprotection ,PC12 Cells ,Antibodies ,Glycosphingolipids ,chemistry.chemical_compound ,Antigen ,Gangliosides ,Immunology and Allergy ,Animals ,Enzyme Inhibitors ,Neurons ,Ganglioside ,biology ,Cell Membrane ,Glycosphingolipid ,Complement System Proteins ,Neuritis, Autoimmune, Experimental ,Cell biology ,Imino Sugars ,Rats ,Membrane ,Neuroprotective Agents ,Neurology ,Biochemistry ,chemistry ,biology.protein ,Neurology (clinical) ,Antibody - Abstract
Autoimmune neuropathies are frequently associated with pathogenic anti-ganglioside antibodies targeting ganglioside-rich neuronal and glial membranes. The extent of injury is determined by the concentration of membrane ganglioside and thus reduction might be expected to attenuate disease. In this study, we suppressed ganglioside biosynthesis in PC12 cells with the glucosylceramide synthase inhibitor, N-butyldeoxynojirimycin and observed reduced plasma membrane antibody binding and a major neuroprotective effect in complement-mediated lysis assays. These data demonstrate that iminosugar inhibitors, currently used to treat type 1 Gaucher disease, are also of potential value for depleting antigen and thereby suppressing tissue injury in anti-ganglioside antibody-associated neuropathy.
- Published
- 2008
38. A1.31 HLA-B27 over-expression in rats alters central and peripheral monocyte populations
- Author
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C Milling, C Ansalone, and Carl S. Goodyear
- Subjects
musculoskeletal diseases ,CCR2 ,education.field_of_study ,CD43 ,Myeloid ,Monocyte ,Immunology ,Population ,Dendritic cell ,Biology ,CCL2 ,Molecular biology ,General Biochemistry, Genetics and Molecular Biology ,medicine.anatomical_structure ,Rheumatology ,medicine ,Immunology and Allergy ,Bone marrow ,education - Abstract
Background and objectives HLA-B27 expression is associated with spondyloarthropathy (SpA) and transgenic rats expressing human HLA-B27 and b2-microglobulin (B27 rats) display systemic inflammation and bone loss, which resembles human SpA. We have previously shown that these rats lack a dendritic cell population. However, the myeloid compartment has not been fully characterised. Here, we aimed to characterise monocyte and pre-osteoclast subsets in the bone marrow and blood of B27 rats, and examined the potential of different monocyte/pre-osteoclast subsets to generate mature osteoclasts. Materials and methods 14–16 week old control (B7) and B27 rats were bled and plasma CCL2 levels were measured by ELISA. Monocytes subsets were analysed and quantified in both the bone marrow and blood of B27, B7 and non-transgenic animals, by evaluation of surface markers (CD172a, CD43, and CD11b) and intracellular uptake of fluorescent M-CSF and CCL2 by flow cytometry. Monocyte populations were FACS sorted and cultured in pro-osteoclastogenic medium for 7 days to evaluate osteoclastogenic potential. Cultures were stained with tartrate-resistant acid phosphatase (TRAP) and mature osteoclasts (TRAP + and ≥3 nuclei) were quantified by light microscopy. Results A previously unidentified CD172a + CD43 lo CD11b - population of monocytes was observed in the bone marrow. These are bona fide monocytes, expressing CD115 and CCR2, as determined by uptake of fluorescent M-CSF and CCL2 respectively. Interestingly, this new monocyte population was significantly increased in B27 rats. Assessment of the osteoclastogenic potential of bone marrow monocyte subsets revealed that CD172a + CD43 lo CD11b - , but not CD172a + CD43 lo CD11b + monocytes,can differentiate into mature osteoclasts. Furthermore, although CD172a + CD43 lo CD11b - have osteoclastogenic potential, optimal osteoclastogenesis was observed only when all CD43 lo (CD172a + CD43 lo CD11b - and CD172a + CD43 lo CD11b + ) were present. No differences in osteoclastogenesis were observed between B27 and controls rats. Finally, evaluation of circulating monocytes demonstrated that all blood monocytes express CD11b and that the CD43 lo CD11b + population was increased in B27 rats. This corresponded with an increase in CCL2 plasma levels in the B27 rats. Conclusions We have identified a previously unreported CD11b - monocyte population in the bone marrow of rats, which can differentiate into mature osteoclasts. Along with the numbers of total CD43 lo monocytes, this population is significantly increased in the bone marrow and blood of rats over-expressing HLA-B27. The increase in these populations in the B27 rats may contribute to enhanced inflammation and bone loss.
- Published
- 2015
39. In vivo VL-targeted activation-induced apoptotic supraclonal deletion by a microbial B cell toxin
- Author
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Carl S. Goodyear, Gregg J. Silverman, and Masami Narita
- Subjects
Immunology ,B-cell receptor ,Naive B cell ,Bacterial Toxins ,B-Lymphocyte Subsets ,Immunoglobulin Variable Region ,Clonal Deletion ,Receptors, Antigen, B-Cell ,Apoptosis ,Mice, Transgenic ,Cell Separation ,Biology ,Lymphocyte Activation ,Immunoglobulin kappa-Chains ,Mice ,Bacterial Proteins ,hemic and lymphatic diseases ,medicine ,Immunology and Allergy ,Animals ,Receptor ,B cell ,CD24 ,Peptostreptococcus ,breakpoint cluster region ,Molecular biology ,Adoptive Transfer ,Mice, Mutant Strains ,B-1 cell ,Mice, Inbred C57BL ,medicine.anatomical_structure ,Immunoglobulin Light Chains ,Binding Sites, Antibody ,CD5 ,Injections, Intraperitoneal ,Protein Binding - Abstract
To interfere with host immune responses, some microbial pathogens produce proteins with the properties of superantigens, which can interact via conserved V region framework subdomains of the Ag receptors of lymphocytes rather than the complementarity-determining region involved in the binding of conventional Ags. In recent studies, we have elucidated how a model B cell superantigen affects the host immune system by targeting a conserved VH site on the Ag receptors of B lymphocytes. To determine whether these findings represent a general paradigm, we investigated the in vivo immunobiologic properties of protein L of Peptostreptococcus magnus (PpL), a microbial Ig-binding protein specific for a V region site on Ig L chains. Our studies confirmed that PpL binding is restricted to a subset of murine Vκ-expressing B cells, and found that B cells with stronger PpL-binding activity are associated with certain B cell subsets: splenic marginal zone (CD21high CD23low), splenic CD1+, peritoneal B-1a (IgDlow CD5+), and CD21high CD24high B cells in peripheral lymph nodes, mesenteric lymph nodes, and Peyer’s patches. Infusion of PpL triggered a sequence of events in B cell receptor (BCR)-targeted B cells, with rapid down-regulation of BCR, the induction of an activation phenotype, and limited rounds of proliferation. Apoptosis followed through a process heralded by the dissipation of mitochondrial membrane potential, the induction of the caspase pathway, DNA fragmentation, and the deposition of B cell apoptotic bodies. These studies define a common pathway by which microbial toxins that target V region-associated BCR sites induce programmed cell death.
- Published
- 2004
40. A model B-cell superantigen and the immunobiology of B lymphocytes
- Author
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Gregg J. Silverman and Carl S. Goodyear
- Subjects
Models, Molecular ,Staphylococcus aureus ,Protein Conformation ,Immunology ,Receptors, Antigen, B-Cell ,Biology ,Immune system ,Antigen ,Superantigen ,medicine ,Immunology and Allergy ,Animals ,Humans ,Binding site ,Receptor ,Staphylococcal Protein A ,B cell ,B-Lymphocytes ,Superantigens ,Cell biology ,medicine.anatomical_structure ,biology.protein ,Antibody ,Protein A ,Protein Binding - Abstract
Recent reports have shown that protein A of Staphylococcus aureus (SpA) is a specific toxin for B cells by virtue of specific binding interactions with conserved sites on the V(H) region of the B-cell antigen receptor. The structural basis for these Fab-binding interactions has recently been revealed in crystallographic analyses, which have demonstrated many similarities with the interactions of T-cell superantigens. Investigations of the in vivo response to SpA have illustrated how a B-cell superantigen can be used to provide a window for examining fundamental principles that underlie the immunobiology of B lymphocytes.
- Published
- 2002
41. Analysis of IgE heavy chain sequences from a small volume of peripheral blood from a mildly atopic individual
- Author
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Jay E. Slater, William Jj Finlay, and Carl S. Goodyear
- Subjects
Heavy chain ,biology ,Small volume ,business.industry ,Immunology ,biology.protein ,Immunology and Allergy ,Medicine ,Immunoglobulin E ,business ,Peripheral blood - Published
- 2002
42. Interferon-α-mediated therapeutic resistance in early rheumatoid arthritis implicates epigenetic reprogramming
- Author
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Cooles, Faye, Tarn, Jessica, Lendrem, Dennis, Naamane, Najib, Lin, Chung Ma, Millar, Ben, Maney, Nicola, Anderson, Amy, Thalayasingam, Nishanthi, Diboll, Julie, Bondet, Vincent, Duffy, Darragh, Barnes, Michael, Smith, Graham, Ng, Sandra, Watson, David, Henkin, Rafael, Cope, Andrew, Reynard, Louise, Pratt, Arthur, Isaacs, John, Newcastle University [Newcastle], Immunobiologie des Cellules dendritiques, Institut Pasteur [Paris] (IP)-Institut National de la Santé et de la Recherche Médicale (INSERM), William Harvey Research Institute, Barts and the London Medical School, University College of London [London] (UCL), King‘s College London, RA-MAP Consortium: Adwoa Hughes-Morley, Alexandra Walker, Alexandru Cuza, Amaya Gallagher-Syed, Amy Anderson, Andrea Haynes, Andrew Filer, Andrew Long, Andrew P Cope, Angela Parke, Anthony Rowe, Arnaud Didierlaurent, Ashley Gilmour, Athula Herath, Ayako Wakatsuki, Pedersen Aysin, Tulunay Virlan, Ben Allen, Benjamin A Fisher, Blerina Kola, Bohdan Harvey, Brian Tom, Carl S Goodyear, Carolyn Cuff, Catharien Hilkens, Catharina Lindholm, Catherine T Mela, Christopher D Buckley, Chris Larminie, Chris Marshall, Christopher John, Christopher M Mela, Claudio Carini, Costantino Pitzalis, Coziana Ciurtin, Dan Baker, Daniel Ziemek, Daniela Dastros-Pitei, Dao Nguyen, David L Scott, David S Watson, Deborah Symmons, Dennis Lendrem, Denny Verbeeck, Desmond Padhji, Donna Finch, Duncan Porter, Emma Vernon, Faye Cooles, Feng Hong, Fiona Clarke, Fiona Stirling, Fowzia Ibrahim, Frances Humby, Francisco Bonachela Capdevila, Frederic Geissmann, Frederique Ponchel, Gemma Molyneux, Gemma Simpson, Georgina Thorborn, Gerry Parker, Gioia Altobelli, Graham R Smith, Hannah Edwards, Hannah Tipney, Hans-Dieter Zucht, Hayley Noble, Heidi Lempp, Humayara AliIain B McInnes, Ian C Scott, Ian N BruceIona Donnelly, Ivana Vranic, James A Butler, James Galloway, Jamie C Sergeant, Jane Worthington, Jehan El-Jawhari, Jessica Tarn, Joanne Ellis, John Casement, John Isaacs, Julie Diboll, Karim Raza, Katriona Goldmann, Kirsty Hicks, Liliane Fossati-Jimack, Lucy Rowell, Marc Levesque, Mark C Coles, Mark Coles, Mark Curran, Martin Hodge, Martin Jenkins, Mateusz Maciejewski, Matt Page, Matthew A Sleeman, Matthew J Loza, Maya Buch, Meilien Ho, Michael Binks, Michael F McDermott, Michael Macoritto, Michael R Barnes, Michael R Ehrenstein, Michele Bombardieri, Myles Lewis, Neil Gozzard, Neil Payne, Neil Ward, Nina Joseph, Paul Emery, Peter C Taylor, Peter Schulz-Knappe, Petra Budde, Philip Jones, Philip Stocks, Rachel Harry, Rafael Henkin, Ravi Rao, Ray Harris, Rekha Parmar, Ruth Toward, Sally Hollis, Samana Schwank, Samantha Lipsky, Samiul Hasan, Sandra Martins, Sandra Ng, Sarah Brockbank, Sarah Keidel, Scott Jelinsky, Sharmila Rana, Simon Read, Stephen Kelly, Stephen Wright, Steve P Young, Sukru Kaymakcalan, Susan Talbot, Suzanne Mm Verstappen, Tomi Lazarov, Tony Sabin, Valerie Ludbrook, Vernon Farewell, Wayne Tsuji, Wing Wu, Wivine Burny, Yujie Zhong, Zheng Liu, Zhilong Jia, and Vougny, Marie-Christine
- Subjects
[SDV.MHEP.RSOA] Life Sciences [q-bio]/Human health and pathology/Rhumatology and musculoskeletal system ,antirheumatic agents ,Rheumatology ,[SDV.MHEP.RSOA]Life Sciences [q-bio]/Human health and pathology/Rhumatology and musculoskeletal system ,[SDV.IMM.IA]Life Sciences [q-bio]/Immunology/Adaptive immunology ,inflammation ,[SDV.IMM.IA] Life Sciences [q-bio]/Immunology/Adaptive immunology ,immune system diseases ,Immunology ,arthritis, rheumatoid ,Immunology and Allergy ,General Biochemistry, Genetics and Molecular Biology - Abstract
ObjectivesAn interferon (IFN) gene signature (IGS) is present in approximately 50% of early, treatment naive rheumatoid arthritis (eRA) patients where it has been shown to negatively impact initial response to treatment. We wished to validate this effect and explore potential mechanisms of action.MethodsIn a multicentre inception cohort of eRA patients (n=191), we examined the whole blood IGS (MxA, IFI44L, OAS1, IFI6, ISG15) with reference to circulating IFN proteins, clinical outcomes and epigenetic influences on circulating CD19+ B and CD4+ T lymphocytes.ResultsWe reproduced our previous findings demonstrating a raised baseline IGS. We additionally showed, for the first time, that the IGS in eRA reflects circulating IFN-α protein. Paired longitudinal analysis demonstrated a significant reduction between baseline and 6-month IGS and IFN-α levels (pPARP9, STAT1,andEPSTI1, associated with baseline IGS/IFNα levels. Differentially methylated CPG sites implicated altered transcription factor binding in B cells (GATA3, ETSI, NFATC2, EZH2) and T cells (p300, HIF1α).ConclusionsOur data suggest that, in eRA, IFN-α can cause a sustained, epigenetically mediated, pathogenic increase in lymphocyte activation and proliferation, and that the IGS is, therefore, a robust prognostic biomarker. Its persistent harmful effects provide a rationale for the initial therapeutic targeting of IFN-α in selected patients with eRA.
- Published
- 2022
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