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In the world of interdisciplinary immunology, collaboration is key. Meet with Key Opinion Leaders and peer from around the world by attending FOCIS 2013.
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The ULB FCE has built an interdisciplinary translational immunology community of clinical immunologists, allergologists, immune-biologists, internists, gastroenterologists, pneumologists, nephrologists, rheumatologists, pediatricians, dermatologists and ophthalmologists working in four different hospitals from the Université Libre de Bruxelles, Hôpital Erasme, Hôpital Brugmann, Hôpital Universitaire des Enfants Reine Fabiola, and Hôpital Saint-Pierre, all situated in Brussels.
Our main goals are to spread knowledge in clinical immunology throughout these different medical sub-specialties, to provide physicians with a highly qualified trans-disciplinary forum for discussing specific patients problems related to clinical immunology, and to offer young medical doctors the opportunity for translational research in immunology. Two clinical laboratories are available within the FCE that provide clinicians with specific technologies for the diagnosis of autoimmune and allergic diseases as well as for the diagnosis of primary immune deficiencies. Different biobanks are available comprising samples from patients with autoimmune diseases and primary immune deficiencies, and several patient registries have been constituted as well.Read more...
George C. Tsokos, MD, Editor-in-Chief of Clinical Immunology, is highlighted in this month's Elsevier Editor-in-Chief Spotlight. Dr. Tsokos has been Editor-in-Chief of the journal since January 2011.
Q: What does being a journal editor mean to you and what do you find most rewarding about this role?
A: Clinical Immunology publishes high impact papers in the field of clinical immunology and, in that respect I feel responsible for choosing and presenting to the community what is important, novel and significant in the field. Working with a top notch cadre of associate editors with whom I orchestrate the reviewing process is highly rewarding. We work with the FOCIS leaders and the FOCIS Publications Committee to make Clinical Immunology the sole home for all important advances in the field.
Read more . . .
March 17, 2014
Editor: Andrew H. Lichtman, MD, PhD, Brigham & Women's Hospital
Editorial Board: Abul K. Abbas, MD, University of California, San Francisco | Carla J. Greenbaum, MD, Benaroya Research Institute | Andrew H. Lichtman, MD, PhD, Brigham & Women's Hospital
|Highlights from Recent Literature|
A Surprising Immune Etiology for Narcolepsy
A review of De la Herrán-Arita, et al., CD4+ T Cell Autoimmunity to Hypocretin/Orexin and Cross-Reactivity to a 2009 H1N1 Influenza A Epitope in Narcolepsy. Science Translational Medicine 5, 216ra176 (2013). PMID: 24353159
Type I narcolepsy is a lifelong disorder characterized by sleepiness, aplexy, and rapid transition from wakefulness to REM sleep. Type I narcolepsy is strongly associated with HLA DQ0602 and results from the loss of the approximately 70,000 posterior hypothalamus neurons that produce the wake promoting neuropeptide hypocretin.
|Highlights from Clinical Immunology, Official Journal of FOCIS|
A SLAP in the Face of Autoimmunity
A review of Peterson L. et al. SLAP Deficiency Decreases DsDNA Autoantibody Production. Clinical Immunology 150, 201-209, 2014 PMID: 24440645
Src-like adaptor protein (SLAP) down-regulates BCR signaling by promoting c-Cbl-mediated ubiquitin ligation of BCR complex proteins, leading to their degradation. This SLAP function reduces BCR levels in developing B cells. The authors investigated if SLAP deficiency could enhance central B cell tolerance by increasing BCR signaling in developing autoreactive B cells leading to deletion or receptor editing. They tested the effects of SLAP-deficiency using two models of anti-dsDNA autoimmunity. The first model uses vaccination with a peptide mimeotope, which induces an anti-dsDNA response in mice, and glomerular deposition of Ig. The second model is a Ig heavy chain transgenic mouse (56R), in which the transgene was cloned from a B cell derived from autoimmune MRL/lpr mouse. The 56R mouse spontaneously produces anti-dsDNA IgG autoantibodies with various light chains.
|Developments in Basic Immunology and Novel Therapies|
Old Diseases in a New Bottle: IgG4-related Disease
Shiv Pillai, MD, PhD, Massachusetts General Hospital, Harvard Medical School
Over the past decade a new disease entity has attracted a lot of interest. Patients presenting with tumescent, often painful, lesions affecting a variety of anatomic sites, initially often thought to have a malignant disease, have had biopsies analyzed that reveal a constellation of features that lead to a diagnosis of an entity now called IgG4-related disease or IgG4-RD. The histological features include storiform fibrosis, obliterative phlebitis, and the presence of a lymphoid and plasmacytic cell infiltrate in which forty percent or more of the IgG expressing plasma cells stain for the IgG4 isotype. Plasma levels of IgG4 may also be elevated.
|Human Immunophenotyping Update|
Data Normalization: How to Handle Batch Effects in Large Studies
Holden T. Maecker, PhD, Stanford University
There is a theme among those doing translational immunology that "mice are easy, humans are hard". One of the more subtle ways that this truism plays out is in the greater need to deal with batch effects in human studies. Partly because of genetic heterogeneity, human studies often involve more subjects than a typical animal study. Also, while animal studies can be manipulated so that all the animals reach a particular endpoint at the same time, human studies often cannot. Thus, in situations requiring fresh samples, one must perform the human assays longitudinally. For both of these reasons (number of subjects and the occasional need for real-time assays), one often faces the prospect of comparing human data across multiple "runs" or batches. Given the variability of many immune monitoring assays, this generally results in some run-to-run variability, or "batch effect", and the consequent need for normalization of data across batches (1). Here, we will discuss some high-level considerations that should be given when designing studies for downstream normalization, and what normalization options are available for various study designs.
|Selected Recent Clinical Trial Results|
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