Quantitative Proteomic Profiling of Human Articular Cartilage Degradation in Osteoarthritis
Osteoarthritis (OA) is the most common rheumatic pathology and is characterized primarily by articular cartilage degradation. Despite its high prevalence, there is no effective therapy to slow disease progression or regenerate the damaged tissue. Therefore, new diagnostic and monitoring tests for OA...
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Veröffentlicht in: | Journal of proteome research 2014-12, Vol.13 (12), p.6096-6106 |
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creator | Lourido, Lucía Calamia, Valentina Mateos, Jesús Fernández-Puente, Patricia Fernández-Tajes, Juan Blanco, Francisco J Ruiz-Romero, Cristina |
description | Osteoarthritis (OA) is the most common rheumatic pathology and is characterized primarily by articular cartilage degradation. Despite its high prevalence, there is no effective therapy to slow disease progression or regenerate the damaged tissue. Therefore, new diagnostic and monitoring tests for OA are urgently needed, which would also promote the development of alternative therapeutic strategies. In the present study, we have performed an iTRAQ-based quantitative proteomic analysis of secretomes from healthy human articular cartilage explants, comparing their protein profile to those from unwounded (early disease) and wounded (advanced disease) zones of osteoarthritic tissue. This strategy allowed us to identify a panel of 76 proteins that are distinctively released by the diseased tissue. Clustering analysis allowed the classification of proteins according to their different profile of release from cartilage. Among these proteins, the altered release of osteoprotegerin (decreased in OA) and periostin (increased in OA), both involved in bone remodelling processes, was verified in further analyses. Moreover, periostin was also increased in the synovial fluid of OA patients. Altogether, the present work provides a novel insight into the mechanisms of human cartilage degradation and a number of new cartilage-characteristic proteins with possible biomarker value for early diagnosis and prognosis of OA. |
doi_str_mv | 10.1021/pr501024p |
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Despite its high prevalence, there is no effective therapy to slow disease progression or regenerate the damaged tissue. Therefore, new diagnostic and monitoring tests for OA are urgently needed, which would also promote the development of alternative therapeutic strategies. In the present study, we have performed an iTRAQ-based quantitative proteomic analysis of secretomes from healthy human articular cartilage explants, comparing their protein profile to those from unwounded (early disease) and wounded (advanced disease) zones of osteoarthritic tissue. This strategy allowed us to identify a panel of 76 proteins that are distinctively released by the diseased tissue. Clustering analysis allowed the classification of proteins according to their different profile of release from cartilage. Among these proteins, the altered release of osteoprotegerin (decreased in OA) and periostin (increased in OA), both involved in bone remodelling processes, was verified in further analyses. Moreover, periostin was also increased in the synovial fluid of OA patients. Altogether, the present work provides a novel insight into the mechanisms of human cartilage degradation and a number of new cartilage-characteristic proteins with possible biomarker value for early diagnosis and prognosis of OA.</description><identifier>ISSN: 1535-3893</identifier><identifier>EISSN: 1535-3907</identifier><identifier>DOI: 10.1021/pr501024p</identifier><identifier>PMID: 25383958</identifier><language>eng</language><publisher>United States: American Chemical Society</publisher><subject>Aged ; Aged, 80 and over ; Biomarkers - metabolism ; Blotting, Western ; Cartilage, Articular - metabolism ; Cartilage, Articular - pathology ; Cell Adhesion Molecules - genetics ; Cell Adhesion Molecules - metabolism ; Cell Adhesion Molecules - secretion ; Chromatography, Liquid ; Female ; Humans ; Male ; Middle Aged ; Multivariate Analysis ; Osteoarthritis - diagnosis ; Osteoarthritis - genetics ; Osteoarthritis - metabolism ; Osteoprotegerin - genetics ; Osteoprotegerin - metabolism ; Osteoprotegerin - secretion ; Proteome - genetics ; Proteome - metabolism ; Proteome - secretion ; Proteomics - methods ; Reverse Transcriptase Polymerase Chain Reaction ; Signal Transduction ; Synovial Fluid - metabolism ; Tandem Mass Spectrometry ; Tissue Culture Techniques</subject><ispartof>Journal of proteome research, 2014-12, Vol.13 (12), p.6096-6106</ispartof><rights>Copyright © 2014 American Chemical Society</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-a381t-a87d333a67cf7a7c46d996b0bb98b719dcdd1f879cd5b3ef3630b0e8422ddfa03</citedby><cites>FETCH-LOGICAL-a381t-a87d333a67cf7a7c46d996b0bb98b719dcdd1f879cd5b3ef3630b0e8422ddfa03</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://pubs.acs.org/doi/pdf/10.1021/pr501024p$$EPDF$$P50$$Gacs$$H</linktopdf><linktohtml>$$Uhttps://pubs.acs.org/doi/10.1021/pr501024p$$EHTML$$P50$$Gacs$$H</linktohtml><link.rule.ids>314,776,780,2752,27053,27901,27902,56713,56763</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/25383958$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Lourido, Lucía</creatorcontrib><creatorcontrib>Calamia, Valentina</creatorcontrib><creatorcontrib>Mateos, Jesús</creatorcontrib><creatorcontrib>Fernández-Puente, Patricia</creatorcontrib><creatorcontrib>Fernández-Tajes, Juan</creatorcontrib><creatorcontrib>Blanco, Francisco J</creatorcontrib><creatorcontrib>Ruiz-Romero, Cristina</creatorcontrib><title>Quantitative Proteomic Profiling of Human Articular Cartilage Degradation in Osteoarthritis</title><title>Journal of proteome research</title><addtitle>J. Proteome Res</addtitle><description>Osteoarthritis (OA) is the most common rheumatic pathology and is characterized primarily by articular cartilage degradation. Despite its high prevalence, there is no effective therapy to slow disease progression or regenerate the damaged tissue. Therefore, new diagnostic and monitoring tests for OA are urgently needed, which would also promote the development of alternative therapeutic strategies. In the present study, we have performed an iTRAQ-based quantitative proteomic analysis of secretomes from healthy human articular cartilage explants, comparing their protein profile to those from unwounded (early disease) and wounded (advanced disease) zones of osteoarthritic tissue. This strategy allowed us to identify a panel of 76 proteins that are distinctively released by the diseased tissue. Clustering analysis allowed the classification of proteins according to their different profile of release from cartilage. Among these proteins, the altered release of osteoprotegerin (decreased in OA) and periostin (increased in OA), both involved in bone remodelling processes, was verified in further analyses. Moreover, periostin was also increased in the synovial fluid of OA patients. Altogether, the present work provides a novel insight into the mechanisms of human cartilage degradation and a number of new cartilage-characteristic proteins with possible biomarker value for early diagnosis and prognosis of OA.</description><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>Biomarkers - metabolism</subject><subject>Blotting, Western</subject><subject>Cartilage, Articular - metabolism</subject><subject>Cartilage, Articular - pathology</subject><subject>Cell Adhesion Molecules - genetics</subject><subject>Cell Adhesion Molecules - metabolism</subject><subject>Cell Adhesion Molecules - secretion</subject><subject>Chromatography, Liquid</subject><subject>Female</subject><subject>Humans</subject><subject>Male</subject><subject>Middle Aged</subject><subject>Multivariate Analysis</subject><subject>Osteoarthritis - diagnosis</subject><subject>Osteoarthritis - genetics</subject><subject>Osteoarthritis - metabolism</subject><subject>Osteoprotegerin - genetics</subject><subject>Osteoprotegerin - metabolism</subject><subject>Osteoprotegerin - secretion</subject><subject>Proteome - genetics</subject><subject>Proteome - metabolism</subject><subject>Proteome - secretion</subject><subject>Proteomics - methods</subject><subject>Reverse Transcriptase Polymerase Chain Reaction</subject><subject>Signal Transduction</subject><subject>Synovial Fluid - metabolism</subject><subject>Tandem Mass Spectrometry</subject><subject>Tissue Culture Techniques</subject><issn>1535-3893</issn><issn>1535-3907</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNptkMtKAzEUhoMotlYXvoBkI-hiNJkzmcwsS71UKFRBVy6GTJKpKXMzyQi-vSm9rFydD853fjg_QpeU3FES0_veMhIg6Y_QmDJgEeSEH-85y2GEzpxbE0IZJ3CKRjGDDHKWjdHn2yBab7zw5kfjV9t53TVGbqgytWlXuKvwfGhEi6fWGznUwuKZCFiLlcYPemWFCsddi02Lly6ch-WXNd64c3RSidrpi92coI-nx_fZPFosn19m00UkIKM-EhlXACBSLisuuExSledpScoyz0pOcyWVolXGc6lYCbqCFEhJdJbEsVKVIDBBN9vc3nbfg3a-aIyTuq5Fq7vBFTSFJOYcGAvq7VaVtnPO6qrorWmE_S0oKTZdFocug3u1ix3KRquDuS8vCNdbQUhXrLvBtuHLf4L-AFmKfJ4</recordid><startdate>20141205</startdate><enddate>20141205</enddate><creator>Lourido, Lucía</creator><creator>Calamia, Valentina</creator><creator>Mateos, Jesús</creator><creator>Fernández-Puente, Patricia</creator><creator>Fernández-Tajes, Juan</creator><creator>Blanco, Francisco J</creator><creator>Ruiz-Romero, Cristina</creator><general>American Chemical Society</general><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></search><sort><creationdate>20141205</creationdate><title>Quantitative Proteomic Profiling of Human Articular Cartilage Degradation in Osteoarthritis</title><author>Lourido, Lucía ; Calamia, Valentina ; Mateos, Jesús ; Fernández-Puente, Patricia ; Fernández-Tajes, Juan ; Blanco, Francisco J ; Ruiz-Romero, Cristina</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a381t-a87d333a67cf7a7c46d996b0bb98b719dcdd1f879cd5b3ef3630b0e8422ddfa03</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><topic>Aged</topic><topic>Aged, 80 and over</topic><topic>Biomarkers - metabolism</topic><topic>Blotting, Western</topic><topic>Cartilage, Articular - metabolism</topic><topic>Cartilage, Articular - pathology</topic><topic>Cell Adhesion Molecules - genetics</topic><topic>Cell Adhesion Molecules - metabolism</topic><topic>Cell Adhesion Molecules - secretion</topic><topic>Chromatography, Liquid</topic><topic>Female</topic><topic>Humans</topic><topic>Male</topic><topic>Middle Aged</topic><topic>Multivariate Analysis</topic><topic>Osteoarthritis - diagnosis</topic><topic>Osteoarthritis - genetics</topic><topic>Osteoarthritis - metabolism</topic><topic>Osteoprotegerin - genetics</topic><topic>Osteoprotegerin - metabolism</topic><topic>Osteoprotegerin - secretion</topic><topic>Proteome - genetics</topic><topic>Proteome - metabolism</topic><topic>Proteome - secretion</topic><topic>Proteomics - methods</topic><topic>Reverse Transcriptase Polymerase Chain Reaction</topic><topic>Signal Transduction</topic><topic>Synovial Fluid - metabolism</topic><topic>Tandem Mass Spectrometry</topic><topic>Tissue Culture Techniques</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Lourido, Lucía</creatorcontrib><creatorcontrib>Calamia, Valentina</creatorcontrib><creatorcontrib>Mateos, Jesús</creatorcontrib><creatorcontrib>Fernández-Puente, Patricia</creatorcontrib><creatorcontrib>Fernández-Tajes, Juan</creatorcontrib><creatorcontrib>Blanco, Francisco J</creatorcontrib><creatorcontrib>Ruiz-Romero, Cristina</creatorcontrib><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><jtitle>Journal of proteome research</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Lourido, Lucía</au><au>Calamia, Valentina</au><au>Mateos, Jesús</au><au>Fernández-Puente, Patricia</au><au>Fernández-Tajes, Juan</au><au>Blanco, Francisco J</au><au>Ruiz-Romero, Cristina</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Quantitative Proteomic Profiling of Human Articular Cartilage Degradation in Osteoarthritis</atitle><jtitle>Journal of proteome research</jtitle><addtitle>J. Proteome Res</addtitle><date>2014-12-05</date><risdate>2014</risdate><volume>13</volume><issue>12</issue><spage>6096</spage><epage>6106</epage><pages>6096-6106</pages><issn>1535-3893</issn><eissn>1535-3907</eissn><abstract>Osteoarthritis (OA) is the most common rheumatic pathology and is characterized primarily by articular cartilage degradation. Despite its high prevalence, there is no effective therapy to slow disease progression or regenerate the damaged tissue. Therefore, new diagnostic and monitoring tests for OA are urgently needed, which would also promote the development of alternative therapeutic strategies. In the present study, we have performed an iTRAQ-based quantitative proteomic analysis of secretomes from healthy human articular cartilage explants, comparing their protein profile to those from unwounded (early disease) and wounded (advanced disease) zones of osteoarthritic tissue. This strategy allowed us to identify a panel of 76 proteins that are distinctively released by the diseased tissue. Clustering analysis allowed the classification of proteins according to their different profile of release from cartilage. Among these proteins, the altered release of osteoprotegerin (decreased in OA) and periostin (increased in OA), both involved in bone remodelling processes, was verified in further analyses. Moreover, periostin was also increased in the synovial fluid of OA patients. Altogether, the present work provides a novel insight into the mechanisms of human cartilage degradation and a number of new cartilage-characteristic proteins with possible biomarker value for early diagnosis and prognosis of OA.</abstract><cop>United States</cop><pub>American Chemical Society</pub><pmid>25383958</pmid><doi>10.1021/pr501024p</doi><tpages>11</tpages></addata></record> |
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subjects | Aged Aged, 80 and over Biomarkers - metabolism Blotting, Western Cartilage, Articular - metabolism Cartilage, Articular - pathology Cell Adhesion Molecules - genetics Cell Adhesion Molecules - metabolism Cell Adhesion Molecules - secretion Chromatography, Liquid Female Humans Male Middle Aged Multivariate Analysis Osteoarthritis - diagnosis Osteoarthritis - genetics Osteoarthritis - metabolism Osteoprotegerin - genetics Osteoprotegerin - metabolism Osteoprotegerin - secretion Proteome - genetics Proteome - metabolism Proteome - secretion Proteomics - methods Reverse Transcriptase Polymerase Chain Reaction Signal Transduction Synovial Fluid - metabolism Tandem Mass Spectrometry Tissue Culture Techniques |
title | Quantitative Proteomic Profiling of Human Articular Cartilage Degradation in Osteoarthritis |
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