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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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Published in: | Biomarkers 2013-11, Vol.18 (7), p.565-572 |
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creator | Ikeda, Daiki Ageta, Hiroshi Tsuchida, Kunihiro Yamada, Harumoto |
description | 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. |
doi_str_mv | 10.3109/1354750X.2013.810667 |
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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.</description><identifier>ISSN: 1354-750X</identifier><identifier>EISSN: 1366-5804</identifier><identifier>DOI: 10.3109/1354750X.2013.810667</identifier><identifier>PMID: 23937207</identifier><language>eng</language><publisher>England: Informa UK Ltd</publisher><subject>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</subject><ispartof>Biomarkers, 2013-11, Vol.18 (7), p.565-572</ispartof><rights>2013 Informa UK Ltd. All rights reserved: reproduction in whole or part not permitted 2013</rights><rights>2013 The Author(s). Published by Taylor & Francis. 2013</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c720t-b3685c4f20c7f0efa5ad00388aa42a6faaa050d2b485c38e2c051287dbf419e33</citedby><cites>FETCH-LOGICAL-c720t-b3685c4f20c7f0efa5ad00388aa42a6faaa050d2b485c38e2c051287dbf419e33</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,314,780,784,885,27924,27925</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/23937207$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Ikeda, Daiki</creatorcontrib><creatorcontrib>Ageta, Hiroshi</creatorcontrib><creatorcontrib>Tsuchida, Kunihiro</creatorcontrib><creatorcontrib>Yamada, Harumoto</creatorcontrib><title>iTRAQ-based proteomics reveals novel biomarkers of osteoarthritis</title><title>Biomarkers</title><addtitle>Biomarkers</addtitle><description>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.</description><subject>BAALC</subject><subject>Biomarkers - metabolism</subject><subject>Cartilage, Articular - metabolism</subject><subject>Case-Control Studies</subject><subject>Female</subject><subject>Femur Head - metabolism</subject><subject>Humans</subject><subject>Intercellular Signaling Peptides and Proteins - metabolism</subject><subject>iTRAQ</subject><subject>LECT2</subject><subject>Male</subject><subject>Middle Aged</subject><subject>Neoplasm Proteins - metabolism</subject><subject>osteoarthritis</subject><subject>Osteoarthritis, Hip - diagnosis</subject><subject>Osteoarthritis, Hip - metabolism</subject><subject>Osteoarthritis, Knee - diagnosis</subject><subject>Osteoarthritis, Knee - metabolism</subject><subject>Peroxiredoxin VI - metabolism</subject><subject>PRDX6</subject><subject>Prognosis</subject><subject>Proteome - metabolism</subject><subject>Proteomics</subject><issn>1354-750X</issn><issn>1366-5804</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2013</creationdate><recordtype>article</recordtype><sourceid>0YH</sourceid><recordid>eNp9kV9rFDEUxYNYbK1-A5F59GXW_J_MS2UpVoVCUSr4Fu5kEjd1ZrLezK702zfDtsW-9CkX8rvnHM4l5B2jK8Fo-5EJJRtFf604ZWJlGNW6eUFOmNC6VobKl8usZL0wx-R1zje0gLw1r8gxF61oOG1OyDpe_1h_rzvIvq-2mGafxuhyhX7vYcjVlPZ-qLqYRsA_HnOVQpVyoQDnDcY55jfkKBTSv71_T8nPi8_X51_ry6sv387Xl7UrTnPdCW2Uk4FT1wTqAyjoKRXGAEgOOgAAVbTnnSyYMJ47qhg3Td8FyVovxCk5O-hud93oe-enGWGwW4wl2q1NEO3Tnylu7O-0t8IILbksAh_uBTD93fk82zFm54cBJp922TKp2rbRWtKCygPqMOWMPjzaMGqX9u1D-3Zp3x7aL2vv_4_4uPRQdwE-HYA4hYQj_Es49HaG2yFhQJhczIv8sxZnTxQ25UrzxgF6e5N2OJULPJ_xDoqcqXM</recordid><startdate>20131101</startdate><enddate>20131101</enddate><creator>Ikeda, Daiki</creator><creator>Ageta, Hiroshi</creator><creator>Tsuchida, Kunihiro</creator><creator>Yamada, Harumoto</creator><general>Informa UK Ltd</general><general>Taylor & Francis</general><scope>0YH</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20131101</creationdate><title>iTRAQ-based proteomics reveals novel biomarkers of osteoarthritis</title><author>Ikeda, Daiki ; Ageta, Hiroshi ; Tsuchida, Kunihiro ; Yamada, Harumoto</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c720t-b3685c4f20c7f0efa5ad00388aa42a6faaa050d2b485c38e2c051287dbf419e33</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2013</creationdate><topic>BAALC</topic><topic>Biomarkers - metabolism</topic><topic>Cartilage, Articular - metabolism</topic><topic>Case-Control Studies</topic><topic>Female</topic><topic>Femur Head - metabolism</topic><topic>Humans</topic><topic>Intercellular Signaling Peptides and Proteins - metabolism</topic><topic>iTRAQ</topic><topic>LECT2</topic><topic>Male</topic><topic>Middle Aged</topic><topic>Neoplasm Proteins - metabolism</topic><topic>osteoarthritis</topic><topic>Osteoarthritis, Hip - diagnosis</topic><topic>Osteoarthritis, Hip - metabolism</topic><topic>Osteoarthritis, Knee - diagnosis</topic><topic>Osteoarthritis, Knee - metabolism</topic><topic>Peroxiredoxin VI - metabolism</topic><topic>PRDX6</topic><topic>Prognosis</topic><topic>Proteome - metabolism</topic><topic>Proteomics</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Ikeda, Daiki</creatorcontrib><creatorcontrib>Ageta, Hiroshi</creatorcontrib><creatorcontrib>Tsuchida, Kunihiro</creatorcontrib><creatorcontrib>Yamada, Harumoto</creatorcontrib><collection>Taylor & Francis Open Access</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Biomarkers</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Ikeda, Daiki</au><au>Ageta, Hiroshi</au><au>Tsuchida, Kunihiro</au><au>Yamada, Harumoto</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>iTRAQ-based proteomics reveals novel biomarkers of osteoarthritis</atitle><jtitle>Biomarkers</jtitle><addtitle>Biomarkers</addtitle><date>2013-11-01</date><risdate>2013</risdate><volume>18</volume><issue>7</issue><spage>565</spage><epage>572</epage><pages>565-572</pages><issn>1354-750X</issn><eissn>1366-5804</eissn><abstract>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.</abstract><cop>England</cop><pub>Informa UK Ltd</pub><pmid>23937207</pmid><doi>10.3109/1354750X.2013.810667</doi><tpages>8</tpages><oa>free_for_read</oa></addata></record> |
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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 |
title | iTRAQ-based proteomics reveals novel biomarkers of osteoarthritis |
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