13
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Targeted proteomics reveals promising biomarkers of disease activity and organ involvement in antineutrophil cytoplasmic antibody-associated vasculitis

      research-article
      1 , 2 , 1 , 1 , 1 , 3 , 4 , 5 , 6 , 7 , 8 , 9 , 1 , 2 , , 1 , , for the Research Committee of Intractable Vasculitis Syndrome and the Research Committee of Intractable Renal Disease of the Ministry of Health, Labour and Welfare of Japan
      Arthritis Research & Therapy
      BioMed Central
      Antineutrophil cytoplasmic antibody-associated vasculitis, Biomarkers, Targeted proteomics, Microscopic polyangiitis, Granulomatosis with polyangiitis, Eosinophilic granulomatosis with polyangiitis

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Background

          Targeted proteomics, which involves quantitative analysis of targeted proteins using selected reaction monitoring (SRM) mass spectrometry, has emerged as a new methodology for discovery of clinical biomarkers. In this study, we used targeted serum proteomics to identify circulating biomarkers for prediction of disease activity and organ involvement in antineutrophil cytoplasmic antibody (ANCA)-associated vasculitis (AAV).

          Methods

          A large-scale SRM assay targeting 135 biomarker candidates was established using a triple-quadrupole mass spectrometer coupled with nanoflow liquid chromatography. Target proteins in serum samples from patients in the active and remission (6 months after treatment) stages were quantified using the established assays. Identified marker candidates were further validated by enzyme-linked immunosorbent assay using serum samples ( n = 169) collected in a large-cohort Japanese study (the RemIT-JAV-RPGN study).

          Results

          Our proteomic analysis identified the following proteins as biomarkers for discriminating patients with highly active AAV from those in remission or healthy control subjects: tenascin C (TNC), C-reactive protein (CRP), tissue inhibitor of metalloproteinase 1 (TIMP1), leucine-rich alpha-2-glycoprotein 1, S100A8/A9, CD93, matrix metalloproteinase 9, and transketolase (TKT). Of these, TIMP1 was the best-performing marker of disease activity, allowing distinction between mildly active AAV and remission. Moreover, in contrast to CRP, serum levels of TIMP1 in patients with active AAV were significantly higher than those in patients with infectious diseases. The serum levels of TKT and CD93 were higher in patients with renal involvement than in those without, and they predicted kidney outcome. The level of circulating TNC was elevated significantly in patients with lung infiltration. AAV severity was associated with markers reflecting organ involvement (TKT, CD93, and TNC) rather than inflammation. The eight markers and myeloperoxidase (MPO)-ANCA were clustered into three groups: MPO-ANCA, renal involvement (TKT and CD93), and inflammation (the other six markers).

          Conclusions

          We have identified promising biomarkers of disease activity, disease severity, and organ involvement in AAV with a targeted proteomics approach using serum samples obtained from a large-cohort Japanese study. Especially, our analysis demonstrated the effectiveness of TIMP1 as a marker of AAV activity. In addition, we identified TKT and CD93 as novel markers for evaluation of renal involvement and kidney outcome in AAV.

          Electronic supplementary material

          The online version of this article (doi:10.1186/s13075-017-1429-3) contains supplementary material, which is available to authorized users.

          Related collections

          Most cited references38

          • Record: found
          • Abstract: found
          • Article: not found

          S100A8/A9: From basic science to clinical application.

          Neutrophils and monocytes belong to the first line of immune defence cells and are recruited to sites of inflammation during infection or sterile injury. Both cells contain huge amounts of the heterodimeric protein S100A8/A9 in their cytoplasm. S100A8/A9 belongs to the Ca(2+) binding S100 protein family and has recently gained a lot of interest as a critical alarmin modulating the inflammatory response after its release (extracellular S100A8/A9) from neutrophils and monocytes. Extracellular S100A8/A9 interacts with the pattern recognition receptors Toll-like receptor 4 (TLR4) and Receptor for Advanced Glycation Endproducts (RAGE) promoting cell activation and recruitment. Besides its biological function, S100A8/A9 (also known as myeloid related protein 8/14, MRP8/14) was identified as interesting biomarker to monitor disease activity in chronic inflammatory disorders including inflammatory bowel disease and rheumatoid arthritis. Furthermore, S100A8/A9 has been tested successfully in pre-clinical imaging studies to localize sites of infection or sterile injury. Finally, recent evidence using small molecule inhibitors for S100A8/A9 also suggests that blocking S100A8/A9 activity exerts beneficial effects on disease activity in animal models of autoimmune diseases including multiple sclerosis, systemic lupus erythematosus, rheumatoid arthritis and inflammatory bowel disease. This review will provide a comprehensive and detailed overview into the structure and biological function of S100A8/A9 and also will give an outlook in terms of diagnostic and therapeutic applications targeting S100A8/A9.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            The role of tenascin-C in tissue injury and tumorigenesis

            The extracellular matrix molecule tenascin-C is highly expressed during embryonic development, tissue repair and in pathological situations such as chronic inflammation and cancer. Tenascin-C interacts with several other extracellular matrix molecules and cell-surface receptors, thus affecting tissue architecture, tissue resilience and cell responses. Tenascin-C modulates cell migration, proliferation and cellular signaling through induction of pro-inflammatory cytokines and oncogenic signaling molecules amongst other mechanisms. Given the causal role of inflammation in cancer progression, common mechanisms might be controlled by tenascin-C during both events. Drugs targeting the expression or function of tenascin-C or the tenascin-C protein itself are currently being developed and some drugs have already reached advanced clinical trials. This generates hope that increased knowledge about tenascin-C will further improve management of diseases with high tenascin-C expression such as chronic inflammation, heart failure, artheriosclerosis and cancer.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              A simplified disease activity index for rheumatoid arthritis for use in clinical practice.

              The objective of this study was to verify the usefulness of a simple disease activity index (SDAI) for rheumatoid arthritis (RA). The SDAI is the numerical sum of five outcome parameters: tender and swollen joint count (based on a 28-joint assessment), patient and physician global assessment of disease activity [visual analogue scale (VAS) 0-10 cm] and level of C-reactive protein (mg/dl, normal <1 mg/dl). Analysis initially focused on MN301, one of the three phase III clinical trials of leflunomide, in order to assess possible correlations between the SDAI and the Health Assessment Questionnaire (HAQ) and Disease Activity Score 28 (DAS 28). Results were then compared with the other two trials, MN302 and US301. A total of 1839 patients were evaluated. At baseline, 6 and 12 months, the SDAI, DAS 28, American College of Rheumatology (ACR) response criteria and mean HAQ scores were determined for each patient and compared by linear regression for significant correlation. The SDAI was compared qualitatively to the ACR 20% at 3, 6 and 12 months. The index was further validated by comparing the SDAI with survey results obtained from rheumatologists' evaluations of disease activity in test cases. The survey results included defining categorical changes in the SDAI indicating major, minor or no improvement in disease activity in response to treatment. Changes in total Sharp score at 6 and 12 months of treatment were determined for each of these categories of the SDAI and for comparable categories of the DAS 28. The mean SDAI calculated for patients at baseline in study MN301 was 50.06 (range 25.10-96.10) and was, respectively, 50.55 (range 22.10-98.10) and 43.20 (range 12.90-78.20) in studies MN302 and US301. In all three trials, the SDAI was correlated with a high level of statistical significance to the DAS 28 and HAQ scores at baseline, endpoint and change at endpoint. Patients achieving the ACR 20, 50, 70 or 90% response showed proportionate changes in the SDAI. Analysis of surveyed physician responses showed a significant association between the perception of disease activity and the SDAI, as well as changes in the SDAI. Qualitative analysis of radiographic progression at 6 and 12 months for patients showing either major, minor or no improvement of the SDAI showed correspondingly larger increases of the total Sharp score at 12 months. The SDAI is a valid and sensitive assessment of disease activity and treatment response that is comparable with the DAS 28 and ACR response criteria; it is easy to calculate and therefore a viable tool for day-to-day clinical assessment of RA treatment. Overall results indicate that the SDAI has content, criterion and construct validity.
                Bookmark

                Author and article information

                Contributors
                ishizaki@m.ehime-u.ac.jp
                ayakot@m.ehime-u.ac.jp
                suemori@m.ehime-u.ac.jp
                takuya-m@m.ehime-u.ac.jp
                akita.yoko.fp@ehime-u.ac.jp
                sadakenn@okayama-u.ac.jp
                yukio-y@fujita-hu.ac.jp
                amanokoi@saitama-med.ac.jp
                tyoshi@med.juntendo.ac.jp
                harigai.masayoshi@twmu.ac.jp
                arimuray@ks.kyorin-u.ac.jp
                makino@okayama-u.ac.jp
                yasukawa@m.ehime-u.ac.jp
                +81-89-960-5499 , takemori@m.ehime-u.ac.jp
                +81-89-960-5296 , hitoshih@m.ehime-u.ac.jp
                Journal
                Arthritis Res Ther
                Arthritis Res. Ther
                Arthritis Research & Therapy
                BioMed Central (London )
                1478-6354
                1478-6362
                29 September 2017
                29 September 2017
                2017
                : 19
                : 218
                Affiliations
                [1 ]ISNI 0000 0001 1011 3808, GRID grid.255464.4, Department of Hematology, Clinical Immunology, and Infectious Diseases, , Ehime University Graduate School of Medicine, ; Toon, Ehime 791-0295 Japan
                [2 ]ISNI 0000 0001 1011 3808, GRID grid.255464.4, Division of Proteomics Research, Proteo-Science Center, , Ehime University, ; Toon, Ehime 791-0295 Japan
                [3 ]ISNI 0000 0001 1302 4472, GRID grid.261356.5, Department of Nephrology, Rheumatology, Endocrinology and Metabolism, , Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, ; Okayama, Japan
                [4 ]ISNI 0000 0004 1761 798X, GRID grid.256115.4, Department of Nephrology, , Fujita Health University School of Medicine, ; Aichi, Japan
                [5 ]ISNI 0000 0004 0467 0255, GRID grid.415020.2, Department of Rheumatology and Clinical Immunology, , Saitama Medical Center, Saitama Medical University, ; Saitama, Japan
                [6 ]ISNI 0000 0004 1762 2738, GRID grid.258269.2, Department of Rheumatology, , Juntendo University Koshigaya Hospital, ; Saitama, Japan
                [7 ]ISNI 0000 0001 0720 6587, GRID grid.410818.4, Division of Epidemiology and Pharmacoepidemiology of Rheumatic Diseases, , Institute of Rheumatology, Tokyo Women’s Medical University, ; Tokyo, Japan
                [8 ]ISNI 0000 0000 9340 2869, GRID grid.411205.3, Nephrology and Rheumatology, First Department of Internal Medicine, , Kyorin University School of Medicine, ; Tokyo, Japan
                [9 ]ISNI 0000 0004 0631 9477, GRID grid.412342.2, Okayama University Hospital, ; Okayama, Japan
                Author information
                http://orcid.org/0000-0003-3902-2066
                Article
                1429
                10.1186/s13075-017-1429-3
                5622475
                28962592
                61cf57aa-a8bf-4b41-8e9e-eebda41f8622
                © The Author(s). 2017

                Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

                History
                : 15 May 2017
                : 15 September 2017
                Funding
                Funded by: Ehime University (JP)
                Award ID: XA49003
                Award Recipient :
                Funded by: The Research Committee of Intractable Vasculitis Syndrome and Research Committee of Intractable Renal Disease of the Ministry of Health, Labour, and Welfare of Japan
                Funded by: strategic exploration of drug seeds for ANCA-associated vasculitis and construction of clinical evidence from Japan Agency for Medical Research and development, AMED
                Categories
                Research Article
                Custom metadata
                © The Author(s) 2017

                Orthopedics
                antineutrophil cytoplasmic antibody-associated vasculitis,biomarkers,targeted proteomics,microscopic polyangiitis,granulomatosis with polyangiitis,eosinophilic granulomatosis with polyangiitis

                Comments

                Comment on this article