iTRAQ-based proteomics reveals novel biomarkers of osteoarthritis

Abstract Objective: We performed comprehensive proteomic analyses of articular cartilage by using the isobaric tags for relative and absolute quantitation (iTRAQ) method, and searched for candidate biomarkers for osteoarthritis (OA). Methods: Articular cartilage was collected from patients with OA o...

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Bibliographic Details
Published in:Biomarkers 2013-11, Vol.18 (7), p.565-572
Main Authors: Ikeda, Daiki, Ageta, Hiroshi, Tsuchida, Kunihiro, Yamada, Harumoto
Format: Article
Language:English
Subjects:
BAALC
Biomarkers - metabolism
Cartilage, Articular - metabolism
Case-Control Studies
Female
Femur Head - metabolism
Humans
Intercellular Signaling Peptides and Proteins - metabolism
iTRAQ
LECT2
Male
Middle Aged
Neoplasm Proteins - metabolism
osteoarthritis
Osteoarthritis, Hip - diagnosis
Osteoarthritis, Hip - metabolism
Osteoarthritis, Knee - diagnosis
Osteoarthritis, Knee - metabolism
Peroxiredoxin VI - metabolism
PRDX6
Prognosis
Proteome - metabolism
Proteomics
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Summary:Abstract Objective: We performed comprehensive proteomic analyses of articular cartilage by using the isobaric tags for relative and absolute quantitation (iTRAQ) method, and searched for candidate biomarkers for osteoarthritis (OA). Methods: Articular cartilage was collected from patients with OA or femoral neck fracture for the control group. Molecular variations were detected by the iTRAQ method, and quantitative analyses were performed by western blot. Results: Using the iTRAQ method, we identified 76 proteins with different expression levels in OA patients and the control group. Among these proteins, we selected LECT2 (leukocyte cell-derived chemotaxin-2), BAALC (brain and acute leukemia, cytoplasmic), and PRDX6 (peroxiredoxin-6), which had not been reported as biomarkers for OA. Conclusions: Use of these proteins in combination with conventional OA biomarkers may better reflect the grade and prognosis of OA.
ISSN:1354-750X
1366-5804
DOI:10.3109/1354750X.2013.810667