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      Pre-Treatment Whole Blood Gene Expression Is Associated with 14-Week Response Assessed by Dynamic Contrast Enhanced Magnetic Resonance Imaging in Infliximab-Treated Rheumatoid Arthritis Patients

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          Abstract

          Approximately 30% of rheumatoid arthritis patients achieve inadequate response to anti-TNF biologics. Attempts to identify molecular biomarkers predicting response have met with mixed success. This may be attributable, in part, to the variable and subjective disease assessment endpoints with large placebo effects typically used to classify patient response. Sixty-one patients with active RA despite methotrexate treatment, and with MRI-documented synovitis, were randomized to receive infliximab or placebo. Blood was collected at baseline and genome-wide transcription in whole blood was measured using microarrays. The primary endpoint in this study was determined by measuring the transfer rate constant (K trans) of a gadolinium-based contrast agent from plasma to synovium using MRI. Secondary endpoints included repeated clinical assessments with DAS28(CRP), and assessments of osteitis and synovitis by the RAMRIS method. Infliximab showed greater decrease from baseline in DCE-MRI K trans of wrist and MCP at all visits compared with placebo ( P<0.001). Statistical analysis was performed to identify genes associated with treatment-specific 14-week change in K trans. The 256 genes identified were used to derive a gene signature score by averaging their log expression within each patient. The resulting score correlated with improvement of K trans in infliximab-treated patients and with deterioration of K trans in placebo-treated subjects. Poor responders showed high expression of activated B-cell genes whereas good responders exhibited a gene expression pattern consistent with mobilization of neutrophils and monocytes and high levels of reticulated platelets. This gene signature was significantly associated with clinical response in two previously published whole blood gene expression studies using anti-TNF therapies. These data provide support for the hypothesis that anti-TNF inadequate responders comprise a distinct molecular subtype of RA characterized by differences in pre-treatment blood mRNA expression. They also highlight the importance of placebo controls and robust, objective endpoints in biomarker discovery.

          Trial Registration: ClinicalTrials.gov NCT01313520

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          Most cited references34

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          Platelets: active players in the pathogenesis of arthritis and SLE.

          Nearly one trillion platelets circulate in the blood to monitor and preserve the integrity of the vasculature. However, haemostasis is not their only function. Platelets are also potent immune cells capable of a range of effector responses. Studies have shown that platelets can have unexpected roles in rheumatic diseases. In patients with rheumatoid arthritis (RA), IL-1-containing platelet-derived vesicles called microparticles are abundant in arthritic joint fluid. These microparticles can elicit production of inflammatory mediators from resident synovial fibroblasts, which have an integral role in the development of arthritis. Platelets also serve as a source of prostaglandins that contribute to synovial inflammation. Furthermore, serotonin released by platelets helps drive the persistent vascular permeability that characterizes the microvasculature of the inflamed synovium, an unexpected function for a cell that more typically serves as a guardian of vascular integrity. Beyond RA, platelet activation has been observed in systemic lupus erythematosus, mediated at least in part through the interaction of circulating immune complexes with platelet Fc receptors and by promotion of interferon release from plasmacytoid dendritic cells. These findings point to a distinct role for platelets in autoimmunity and support the possibility that platelets are an attractive target in rheumatic disease.
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            Inflammation Controls B Lymphopoiesis by Regulating Chemokine CXCL12 Expression

            Inflammation removes developing and mature lymphocytes from the bone marrow (BM) and induces the appearance of developing B cells in the spleen. BM granulocyte numbers increase after lymphocyte reductions to support a reactive granulocytosis. Here, we demonstrate that inflammation, acting primarily through tumor necrosis factor α (TNFα), mobilizes BM lymphocytes. Mobilization reflects a reduced CXCL12 message and protein in BM and changes to the BM environment that prevents homing by cells from naive donors. The effects of TNFα are potentiated by interleukin 1 β (IL-1β), which acts primarily to expand the BM granulocyte compartment. Our observations indicate that inflammation induces lymphocyte mobilization by suppressing CXCL12 retention signals in BM, which, in turn, increases the ability of IL-1β to expand the BM granulocyte compartment. Consistent with this idea, lymphocyte mobilization and a modest expansion of BM granulocyte numbers follow injections of pertussis toxin. We propose that TNFα and IL-1β transiently specialize the BM to support acute granulocytic responses and consequently promote extramedullary lymphopoiesis.
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              Tumor necrosis factor-alpha as trigger of platelet activation in patients with heart failure.

              The clinical history of patients with heart failure (HF) is complicated by arterial thromboembolism. Platelet activation is reported in this population, but the underlying mechanism has not been clarified. Forty-two patients with HF scored according to New York Heart Association (NYHA) classification had higher levels of collagen-induced platelet aggregation, platelet tumor necrosis factor-alpha (TNF-alpha) receptor expression, and serum thromboxane B2 and higher circulating levels of TNF-alpha than 20 healthy subjects. Coincubation of platelets from HF patients with an inhibitor of TNF-alpha receptors significantly reduced collagen-induced platelet aggregation. In vitro study demonstrated that TNF-alpha amplified the platelet response to collagen; this effect was inhibited by TNF-alpha receptor antagonist and inhibitors of arachidonic acid metabolism. This study showed that TNF-alpha behaves as a trigger of platelet activation through stimulation of the arachidonic acid pathway.
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                Author and article information

                Contributors
                Role: Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, USA )
                1932-6203
                2014
                12 December 2014
                : 9
                : 12
                : e113937
                Affiliations
                [1 ]Merck & Co. Inc., Department of Genetics and Pharmacogenomics, Boston, Massachusetts, United States of America
                [2 ]Merck & Co. Inc., Department of Biometrics Research, Whitehouse Station, New Jersey, United States of America
                [3 ]Spire Sciences Inc., Boca Raton, Florida, United States of America
                [4 ]Virtual Scopics, Rochester, New York, United States of America
                [5 ]Merck & Co. Inc., Clinical Research, Whitehouse Station, New Jersey, United States of America
                Center for Rheumatic Diseases, India
                Author notes

                Competing Interests: The authors of this manuscript have the following competing interests: K. MacIsaac, J. Kang, A. Loboda, C. Beals, R. Baumgartner, are currently (or were at the time the study was conducted) employees of Merck Sharp & Dohme Corp., a subsidiary of Merck & Co., Inc., Whitehouse Station, NJ, who may own stock and/or hold stock options in Merck. C. Peterfy and J. DiCarlo are employees of Spire Sciences LLC, employed by the study sponsor Merck to analyze study results; J. Riek is an employee of VirtualScopics, Inc, employed by the study sponsor Merck to analyze study results. This does not alter the authors' adherence to PLOS ONE policies on sharing data and materials.

                Conceived and designed the experiments: KM JK AL CB. Performed the experiments: KM JK. Analyzed the data: KM RB JK AL CP JD JR CB. Wrote the paper: KM RB JK AL CP JD JR CB.

                Article
                PONE-D-14-28467
                10.1371/journal.pone.0113937
                4264695
                25504080
                4d5565f3-9e11-4f05-bd13-6a90c2c448cd
                Copyright @ 2014

                This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 3 July 2014
                : 28 October 2014
                Page count
                Pages: 18
                Funding
                This study was funded from a commercial source: Merck & Company. The funder provided support in the form of salaries for authors KM, RB, JK, AL, and CB, but did not have any additional role in the study design, data collection and analysis, decision to publish, or preparation of the manuscript. The specific roles of these authors are articulated in the ‘author contributions' section.
                Categories
                Research Article
                Biology and Life Sciences
                Computational Biology
                Genome Analysis
                Transcriptome Analysis
                Genome Expression Analysis
                Genomics Statistics
                Immunology
                Clinical Immunology
                Autoimmune Diseases
                Rheumatoid Arthritis
                Autoimmunity
                Medicine and Health Sciences
                Rheumatology
                Arthritis
                Custom metadata
                The authors confirm that all data underlying the findings are fully available without restriction. Microarray data have been deposited in the Gene Expression Omnibus archive (GEO accession GSE58795). Other relevant data are in the paper and Supporting Information files.

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                Uncategorized

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