Protein Profiles Of Peripheral Blood Mononuclear Cells As a Biomarker For Behcet’s Disease

Manae Kurokawa¹, Takuya Yoshioka², Toshiyuki Sato¹, Kouhei Nagai¹, Nobuko Iizuka¹, Mitsumi Arito¹, Yukiko Takakuwa², Hiromasa Nakano², Seido Ooka², Naoya Suematsu¹, Kazuki Okamoto¹, HIroshi Nakamura³, Noboru Suzuki⁴, Shoichi Ozaki⁵ and Tomohiro Kato¹, ¹Clinical Proteomics and Molecular Medicine, St. Marianna University Graduate School of Medicine, Kawasaki, Japan, ²Division of Rheumatology and Allergy, Department of Internal Medicine, St. Marianna University School of Medicine, Kawasaki, Japan, ³Department of Rheumatology, Nippon Medical School, Bunkyo-ku, Japan, ⁴Department of Immunology and Medicine, St. Marianna University School of Medicine, Kawasaki, Japan, ⁵Division of Rheumatology and Allergy, Department of Internal Medicine, St. Marianna University School of Medicine, St. Marianna University School of Medicine, Kawasaki, Japan

Meeting: 2013 ACR/ARHP Annual Meeting

Keywords: Behcet's syndrome, biomarkers and proteomics

Session Information

Title: Genetics and Genomics of Rheumatic Disease II

Session Type: Abstract Submissions (ACR)

Background/Purpose: To investigate the pathophysiology of Behcet’s disease (BD) and find biomarker candidates for the disease, we analyzed protein profiles of peripheral blood mononuclear cells (PBMCs).

Methods: Proteins, extracted from PBMCs, were comprehensively analyzed in 16 patients with BD, 16 patients with rheumatoid arthritis (RA), and 16 healthy control subjects (HC) by 2-dimensional differential gel electrophoresis (2D-DIGE). Differently expressed proteins were identified by mass spectrometry.

Results: In total, 563 protein spots were detected. Intensity of 25 and 115 spots showed at least 1.2-fold intensity difference between the BD and HC groups and between the BD and RA groups, respectively (p<0.05). We completely discriminated between the BD and HC groups and between the BD and RA groups by multivariate analysis of intensity of 23 and 35 spots, respectively. The protein spots with significantly different intensity and also selected by the multivariate analysis included proteins functionally related to cytoskeleton, transcription/translation, T cell activation, bone turnover, regulating apoptosis, and microbial infection. Interestingly, intensity of only 3 protein spots provided area under the receiver operating characteristic curves (AUROC) of 0.922 for discrimination between the BD and HC groups. Similarly, intensity of 2 protein spots provided AUROC of 0.883 for discrimination between the BD and RA groups.

Conclusion: PBMC protein profiles, especially those of the 3 and 2 proteins, would be candidate biomarkers for BD. The identified PBMC proteins may play important roles in the pathophysiology of BD.

Disclosure:

M. Kurokawa,
None;

T. Yoshioka,
None;

T. Sato,
None;

K. Nagai,
None;

N. Iizuka,
None;

M. Arito,
None;

Y. Takakuwa,
None;

H. Nakano,
None;

S. Ooka,
None;

N. Suematsu,
None;

K. Okamoto,
None;

H. Nakamura,
None;

N. Suzuki,
None;

S. Ozaki,
None;

T. Kato,
None.

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