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  • 1
    In: PROTEOMICS – Clinical Applications, Wiley, Vol. 13, No. 3 ( 2019-05)
    Abstract: Rheumatoid arthritis (RA) is an autoimmune disease in which autoantibodies attack the synovial membrane, causing joint inflammation. Blood tests would offer a powerful, minimally invasive method for early diagnosis of RA. However, no reliable biomarkers for RA are presently available. The aim is to develop biomarkers for RA by multiple reaction monitoring (MRM)‐based quantification of candidate biomarkers. Experimental design Proteomics approaches are commonly used to identify and verify disease biomarkers. For discovery of biomarkers for RA, SWATH acquisition is performed and selected candidate biomarkers are validated by MRM. Target serum proteins are compared between patients with RA and healthy controls divided into three groups based on rheumatoid factor level. Results A total of 45 differentially expressed proteins are identified, as determined by SWATH acquisition. Of these, 13 proteins are selected as novel candidate biomarkers. A total of five proteins (transthyretin, gelsolin, angiotensinogen, lipopolysaccharide‐binding protein, and protein S100‐A9) are shown to have the potential to distinguish patients with RA from healthy controls. Conclusions and clinical relevance These five proteins may improve the efficiency of diagnosis of RA. MRM can be used to easily diagnose RA by detecting five proteins simultaneously in a single sample with high sensitivity.
    Type of Medium: Online Resource
    ISSN: 1862-8346 , 1862-8354
    URL: Issue
    Language: English
    Publisher: Wiley
    Publication Date: 2019
    detail.hit.zdb_id: 2317130-3
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  • 2
    In: Arthritis & Rheumatology, Wiley, Vol. 66, No. 8 ( 2014-08), p. 2103-2112
    Abstract: To identify ankylosing spondylitis (AS)–associated copy number variations (CNVs) in Korean subjects and their synergistic roles in the development of AS. Methods A genome‐wide association study (GWAS) was performed in 309 patients with AS and 309 control subjects, using a copy number variant (CNV) microarray. AS‐associated CNV regions were replicated in 2 independent sets (625 patients and 891 control subjects) by quantitative polymerase chain reaction (PCR) and deletion‐typing PCR. Results In the CNV GWAS, 227 CNV regions were shown to be significantly associated with the risk of AS. Of the candidate CNV regions, 9 were successfully replicated in the first replication analysis: 1q32.2 ( HHAT ), 1p34.2 ( BMP8A ), 2q31.2 ( PRKRA ), 6p21.32 ( HLA–DPB1 ), 11q22.1 ( CNTN5 ), 13q13.1 ( EEF1DP3 ), 14q24.2 ( RGS6 ), 16p13.3, and 22q11.1 ( IL17RA ). The 5 deletion‐type CNV regions, in 1q32.2, 2q31.2, 6p21.32, 13q13.1, and 16p13.3, were associated with an increased risk of AS, and the other 4 CNV regions were protective. In the second replication analysis, 4 CNV regions in 1q32.2, 2q31.2, 6p21.32, and 16p13.3 were replicated. Among patients with CNV regions in ≥4 risk‐increasing loci, the risk was 18.0 times higher than that in patients without any deletions (odds ratio [OR] 17.98, P = 2.3 × 10 −7 ). Among patients with CNV regions in ≥2 protective loci, the risk was 5.2 times lower than that in those without any deletions (OR 0.19, P = 4.0 × 10 −10 ). The additive effects of simultaneous events were shown to be dependent on the frequency of CNV regions. Through deletion‐typing PCR and sequencing, the exact sizes and breakpoint sequences were defined in 4 CNV regions. The mechanism of all 3 deletions was shown to be microhomology‐based nonhomologous end joining. Conclusion The results of this study can help to identify pathogenic mechanisms of AS and can easily be applied in the development of algorithms estimating the risk of AS.
    Type of Medium: Online Resource
    ISSN: 2326-5191 , 2326-5205
    URL: Issue
    RVK:
    RVK:
    Language: English
    Publisher: Wiley
    Publication Date: 2014
    detail.hit.zdb_id: 2754614-7
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