A multilectin affinity approach for comparative glycoprotein profiling of rheumatoid arthritis and spondyloarthropathy
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- 作者：Mitali Bhattacharjee (1) (2)
Rakesh Sharma (3)
Renu Goel (1) (4)
Lavanya Balakrishnan (1) (4)
Santosh Renuse (1) (2)
Jayshree Advani (1)
Shantal Tankala Gupta (5)
Renu Verma (1)
Sneha M Pinto (1) (6)
Nirujogi Raja Sekhar (1) (7)
Bipin Nair (2)
T S Keshava Prasad (1) (2) (6) (7)
H C Harsha (1)
Ramesh Jois (8)
Subramanian Shankar (5)
Akhilesh Pandey (10) (11) (12) (9) - 关键词：Pannus ; Prognostic marker ; Endothelial dysfunction ; Synovium ; Biomarkers
- 刊名：Clinical Proteomics
- 出版年：2013
- 出版时间：December 2013
- 年：2013
- 卷：10
- 期：1
- 全文大小：267KB
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74. Mathivanan S, Pandey A: - 作者单位：Mitali Bhattacharjee (1) (2)
Rakesh Sharma (3)
Renu Goel (1) (4)
Lavanya Balakrishnan (1) (4)
Santosh Renuse (1) (2)
Jayshree Advani (1)
Shantal Tankala Gupta (5)
Renu Verma (1)
Sneha M Pinto (1) (6)
Nirujogi Raja Sekhar (1) (7)
Bipin Nair (2)
T S Keshava Prasad (1) (2) (6) (7)
H C Harsha (1)
Ramesh Jois (8)
Subramanian Shankar (5)
Akhilesh Pandey (10) (11) (12) (9)
1. Institute of Bioinformatics, International Technology Park, Bangalore, 560066, India
2. Amrita School of Biotechnology, Amrita Vishwa Vidyapeetham, Kollam, 690525, India
3. Department of Neurochemistry, National Institute of Mental Health and Neuro Sciences, Bangalore, 560029, India
4. Department of Biotechnology, Kuvempu University, Shankaraghatta, 577451, India
5. Department of Internal Medicine, Armed Forces Medical College, Pune, 411040, India
6. Manipal University, Madhav Nagar, Manipal, 576104, India
7. Centre of Excellence in Bioinformatics, Bioinformatics Centre, School of Life Sciences, Pondicherry University, Puducherry, 605 014, India
8. Department of Rheumatology, Fortis Hospital, Bangalore, 560076, India
10. Department of Biological Chemistry, Johns Hopkins University School of Medicine, 733 N. Broadway, Baltimore, MD 21205, USA
11. Department of Pathology, Johns Hopkins University School of Medicine, 733 N. Broadway, Baltimore, MD 21205, USA
12. Department of Oncology, Johns Hopkins University School of Medicine, Baltimore, Maryland, 21205, USA
9. McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine, 733 N. Broadway, Baltimore, MD 21205, USA - ISSN：1559-0275
文摘
Background Arthritis refers to inflammation of joints and includes common disorders such as rheumatoid arthritis (RA) and spondyloarthropathies (SpAs). These diseases differ mainly in terms of their clinical manifestations and the underlying pathogenesis. Glycoproteins in synovial fluid might reflect the disease activity status in the joints affected by arthritis; yet they have not been systematically studied previously. Although markers have been described for assisting in the diagnosis of RA, there are currently no known biomarkers for SpA. Materials and methods We sought to determine the relative abundance of glycoproteins in RA and SpA by lectin affinity chromatography coupled to iTRAQ labeling and LC-MS/MS analysis. We also used ELISA to validate the overexpression of VCAM-1, one of the candidate proteins identified in this study, in synovial fluid from RA patients. Results and discussion We identified proteins that were previously reported to be overexpressed in RA including metalloproteinase inhibitor 1 (TIMP1), myeloperoxidase (MPO) and several S100 proteins. In addition, we discovered several novel candidates that were overexpressed in SpA including Apolipoproteins C-II and C-III and the SUN domain-containing protein 3 (SUN3). Novel molecules found overexpressed in RA included extracellular matrix protein 1 (ECM1) and lumican (LUM). We validated one of the candidate biomarkers, vascular cell adhesion molecule 1 (VCAM1), in 20 RA and SpA samples using ELISA and confirmed its overexpression in RA (p-value <0.01). Our quantitative glycoproteomic approach to study arthritic disorders should open up new avenues for additional proteomics-based discovery studies in rheumatological disorders.