Identification of autoantibody biomarkers for primary Sjögren's syndrome using protein microarrays
Sjögren's syndrome (SS) is a chronic, progressive autoimmune disease primarily affecting women. Diagnosis of SS requires an invasive salivary gland tissue biopsy and a long delay from the start of the symptoms to final diagnosis has been frequently observed. In this study, we aim to identify sa...
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| Published in: | Proteomics (Weinheim) Vol. 11; no. 8; pp. 1499 - 1507 |
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| Main Authors: | , , , , , , |
| Format: | Journal Article |
| Language: | English |
| Published: |
Weinheim
WILEY-VCH Verlag
01.04.2011
WILEY‐VCH Verlag Wiley-VCH Wiley Subscription Services, Inc |
| Subjects: | |
| ISSN: | 1615-9853, 1615-9861, 1615-9861 |
| Online Access: | Get full text |
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| Summary: | Sjögren's syndrome (SS) is a chronic, progressive autoimmune disease primarily affecting women. Diagnosis of SS requires an invasive salivary gland tissue biopsy and a long delay from the start of the symptoms to final diagnosis has been frequently observed. In this study, we aim to identify salivary autoantibody biomarkers for primary SS (pSS) using a protein microarray approach. Immune‐response protoarrays were used to profile saliva autoantibodies from patients with pSS (n=14), patients with systemic lupus erythematosus (SLE, n=13), and healthy control subjects (n=13). We identified 24 potential autoantibody biomarkers that can discriminate patients with pSS from both patients with SLE and healthy individuals. Four saliva autoantibody biomarkers, anti‐transglutaminase, anti‐histone, anti‐SSA, and anti‐SSB, were further tested in independent pSS (n=34), SLE (n=34), and healthy control (n=34) subjects and all were successfully validated with ELISA. This study has demonstrated the potential of a high‐throughput protein microarray approach for the discovery of autoantibody biomarkers. The identified saliva autoantibody biomarkers may lead to a clinical tool for simple, noninvasive detection of pSS at low cost. |
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| Bibliography: | Colour Online: See the article online to view Fig. 3 in colour PHS - No. R01DE017593 ark:/67375/WNG-QGMSQFTQ-6 istex:07E075540AAC843959C84DFD4BF792D75E5D6F49 ArticleID:PMIC201000206 3 See the article online to view Fig. Colour Online in colour ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 ObjectType-Article-2 ObjectType-Feature-1 Additional corresponding author: Dr. David T. Wong, E-mail: dtww@ucla.edu |
| ISSN: | 1615-9853 1615-9861 1615-9861 |
| DOI: | 10.1002/pmic.201000206 |