A Comparative Metabolomic Evaluation of Behcet's Disease with Arthritis and Seronegative Arthritis Using Synovial Fluid
Behcet's disease (BD) with arthritis is often confused with seronegative arthritis (SNA) because of shared clinical symptoms and the lack of definitive biomarkers for BD. To investigate possible metabolic patterns and potential biomarkers of BD with arthritis, metabolomic profiling of synovial...
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description | Behcet's disease (BD) with arthritis is often confused with seronegative arthritis (SNA) because of shared clinical symptoms and the lack of definitive biomarkers for BD. To investigate possible metabolic patterns and potential biomarkers of BD with arthritis, metabolomic profiling of synovial fluid (SF) from 6 patients with BD with arthritis and 18 patients with SNA was performed using gas chromatography/time-of-flight mass spectrometry in conjunction with univariate and multivariate statistical analyses. A total of 123 metabolites were identified from samples. Orthogonal partial least square-discriminant analysis showed clear discrimination between BD with arthritis and SNA. A set of 11 metabolites were identified as potential biomarkers for BD using variable importance for projection values and the Wilcoxon-Mann-Whitney test. Compared with SNA, BD with arthritis exhibited relatively high levels of glutamate, valine, citramalate, leucine, methionine sulfoxide, glycerate, phosphate, lysine, isoleucine, urea, and citrulline. There were two markers identified, elevated methionine sulfoxide and citrulline, that were associated with increased oxidative stress, providing a potential link to BD-associated neutrophil hyperactivity. Glutamate, citramalate, and valine were selected and validated as putative biomarkers for BD with arthritis (sensitivity, 100%; specificity, 61.1%). This is the first report to present potential biomarkers from SF for discriminating BD with arthritis from SNA. The metabolomics of SF may be helpful in searching for potential biomarkers and elucidating the clinicopathogenesis of BD with arthritis. |
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To investigate possible metabolic patterns and potential biomarkers of BD with arthritis, metabolomic profiling of synovial fluid (SF) from 6 patients with BD with arthritis and 18 patients with SNA was performed using gas chromatography/time-of-flight mass spectrometry in conjunction with univariate and multivariate statistical analyses. A total of 123 metabolites were identified from samples. Orthogonal partial least square-discriminant analysis showed clear discrimination between BD with arthritis and SNA. A set of 11 metabolites were identified as potential biomarkers for BD using variable importance for projection values and the Wilcoxon-Mann-Whitney test. Compared with SNA, BD with arthritis exhibited relatively high levels of glutamate, valine, citramalate, leucine, methionine sulfoxide, glycerate, phosphate, lysine, isoleucine, urea, and citrulline. There were two markers identified, elevated methionine sulfoxide and citrulline, that were associated with increased oxidative stress, providing a potential link to BD-associated neutrophil hyperactivity. Glutamate, citramalate, and valine were selected and validated as putative biomarkers for BD with arthritis (sensitivity, 100%; specificity, 61.1%). This is the first report to present potential biomarkers from SF for discriminating BD with arthritis from SNA. The metabolomics of SF may be helpful in searching for potential biomarkers and elucidating the clinicopathogenesis of BD with arthritis.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0135856</identifier><identifier>PMID: 26270538</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Adolescent ; Adult ; Aged ; Amino acids ; Arthritis ; Arthritis - classification ; Arthritis - diagnosis ; Arthritis - metabolism ; Behcet Syndrome - diagnosis ; Behcet Syndrome - metabolism ; Biomarkers ; Biomarkers - metabolism ; Biotechnology ; Chromatography ; Citramalate ; Citrulline ; Comparative analysis ; Cytokines ; Diagnosis ; Diagnosis, Differential ; Discriminant analysis ; Disease ; Female ; Fluid ; Fluids ; Gas chromatography ; Glutamate ; Hospitals ; Humans ; Hyperactivity ; Internal medicine ; Isoleucine ; Leucine ; Lysine ; Male ; Males ; Mass spectrometry ; Mass spectroscopy ; Medicine ; Metabolism ; Metabolites ; Metabolomics ; Metabolomics - methods ; Methionine ; Middle Aged ; Oxidative Stress ; Pathogenesis ; Patients ; Rheumatoid arthritis ; Rheumatology ; Scientific imaging ; Statistical analysis ; Statistical methods ; Sulfoxides ; Synovial fluid ; Synovial Fluid - metabolism ; Urea ; Valine ; Vein & artery diseases ; Young Adult</subject><ispartof>PloS one, 2015-08, Vol.10 (8), p.e0135856</ispartof><rights>COPYRIGHT 2015 Public Library of Science</rights><rights>2015 Ahn et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2015 Ahn et al 2015 Ahn et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c659t-6b4720fa8d85e803113704cf64fa3f0c1a61f23a44ffc2c14d7755b14c4013913</citedby><cites>FETCH-LOGICAL-c659t-6b4720fa8d85e803113704cf64fa3f0c1a61f23a44ffc2c14d7755b14c4013913</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4536180/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4536180/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,315,728,781,785,865,886,2103,2929,23871,27929,27930,53796,53798</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/26270538$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Bathen, Tone Frost</contributor><creatorcontrib>Ahn, Joong Kyong</creatorcontrib><creatorcontrib>Kim, Sooah</creatorcontrib><creatorcontrib>Kim, Jungyeon</creatorcontrib><creatorcontrib>Hwang, Jiwon</creatorcontrib><creatorcontrib>Kim, Kyoung Heon</creatorcontrib><creatorcontrib>Cha, Hoon-Suk</creatorcontrib><title>A Comparative Metabolomic Evaluation of Behcet's Disease with Arthritis and Seronegative Arthritis Using Synovial Fluid</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>Behcet's disease (BD) with arthritis is often confused with seronegative arthritis (SNA) because of shared clinical symptoms and the lack of definitive biomarkers for BD. To investigate possible metabolic patterns and potential biomarkers of BD with arthritis, metabolomic profiling of synovial fluid (SF) from 6 patients with BD with arthritis and 18 patients with SNA was performed using gas chromatography/time-of-flight mass spectrometry in conjunction with univariate and multivariate statistical analyses. A total of 123 metabolites were identified from samples. Orthogonal partial least square-discriminant analysis showed clear discrimination between BD with arthritis and SNA. A set of 11 metabolites were identified as potential biomarkers for BD using variable importance for projection values and the Wilcoxon-Mann-Whitney test. Compared with SNA, BD with arthritis exhibited relatively high levels of glutamate, valine, citramalate, leucine, methionine sulfoxide, glycerate, phosphate, lysine, isoleucine, urea, and citrulline. There were two markers identified, elevated methionine sulfoxide and citrulline, that were associated with increased oxidative stress, providing a potential link to BD-associated neutrophil hyperactivity. Glutamate, citramalate, and valine were selected and validated as putative biomarkers for BD with arthritis (sensitivity, 100%; specificity, 61.1%). This is the first report to present potential biomarkers from SF for discriminating BD with arthritis from SNA. The metabolomics of SF may be helpful in searching for potential biomarkers and elucidating the clinicopathogenesis of BD with arthritis.</description><subject>Adolescent</subject><subject>Adult</subject><subject>Aged</subject><subject>Amino acids</subject><subject>Arthritis</subject><subject>Arthritis - classification</subject><subject>Arthritis - diagnosis</subject><subject>Arthritis - metabolism</subject><subject>Behcet Syndrome - diagnosis</subject><subject>Behcet Syndrome - metabolism</subject><subject>Biomarkers</subject><subject>Biomarkers - metabolism</subject><subject>Biotechnology</subject><subject>Chromatography</subject><subject>Citramalate</subject><subject>Citrulline</subject><subject>Comparative analysis</subject><subject>Cytokines</subject><subject>Diagnosis</subject><subject>Diagnosis, Differential</subject><subject>Discriminant analysis</subject><subject>Disease</subject><subject>Female</subject><subject>Fluid</subject><subject>Fluids</subject><subject>Gas chromatography</subject><subject>Glutamate</subject><subject>Hospitals</subject><subject>Humans</subject><subject>Hyperactivity</subject><subject>Internal medicine</subject><subject>Isoleucine</subject><subject>Leucine</subject><subject>Lysine</subject><subject>Male</subject><subject>Males</subject><subject>Mass spectrometry</subject><subject>Mass spectroscopy</subject><subject>Medicine</subject><subject>Metabolism</subject><subject>Metabolites</subject><subject>Metabolomics</subject><subject>Metabolomics - methods</subject><subject>Methionine</subject><subject>Middle Aged</subject><subject>Oxidative Stress</subject><subject>Pathogenesis</subject><subject>Patients</subject><subject>Rheumatoid arthritis</subject><subject>Rheumatology</subject><subject>Scientific imaging</subject><subject>Statistical analysis</subject><subject>Statistical methods</subject><subject>Sulfoxides</subject><subject>Synovial fluid</subject><subject>Synovial Fluid - metabolism</subject><subject>Urea</subject><subject>Valine</subject><subject>Vein & artery diseases</subject><subject>Young Adult</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2015</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>DOA</sourceid><recordid>eNqNklFv0zAQxyMEYqPwDRBYQgLx0GLHjpO8IJWyQaWhSZTxal0cO_GUxsV2OvbtcWk2Wgkk5IfY59_9c_f3JclzgmeE5uTdtR1cD91sY3s1w4RmRcYfJKekpOmUp5g-PNifJE-8v8Y4owXnj5OTlKf57nCa3MzRwq434CCYrUJfVIDKdnZtJDrbQjfEsO2R1eiDaqUKbzz6aLwCr9CNCS2au9A6E4xH0NdopVwsptlL_bm68qZv0Oq2t1sDHTrvBlM_TR5p6Lx6Nn4nydX52bfF5-nF5aflYn4xlTwrw5RXLE-xhqIuMlVgSmLrmEnNmQaqsSTAiU4pMKa1TCVhdZ5nWUWYZNGSktBJ8nKvu-msF6NnXpDYPs4JLnkklnuitnAtNs6swd0KC0b8DljXCHDByE6JXFZ1oUlea0oZkyXISkeNoqzKlEuAqPV-_NtQrVUtVR8cdEeixze9aUVjt4JllJPY3yR5NQo4-2NQPvyj5JFqIFZlem2jmFwbL8WcpVl0KSW71md_oeKqVXze-FDaxPhRwtujhMgE9TM0MHgvlquv_89efj9mXx-wrYIutN52w260_DHI9qB01nun9L1zBIvd0N-5IXZDL8ahj2kvDl2_T7qbcvoLkWT89Q</recordid><startdate>20150813</startdate><enddate>20150813</enddate><creator>Ahn, Joong Kyong</creator><creator>Kim, Sooah</creator><creator>Kim, Jungyeon</creator><creator>Hwang, Jiwon</creator><creator>Kim, Kyoung Heon</creator><creator>Cha, Hoon-Suk</creator><general>Public Library of Science</general><general>Public Library of Science (PLoS)</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>IOV</scope><scope>ISR</scope><scope>3V.</scope><scope>7QG</scope><scope>7QL</scope><scope>7QO</scope><scope>7RV</scope><scope>7SN</scope><scope>7SS</scope><scope>7T5</scope><scope>7TG</scope><scope>7TM</scope><scope>7U9</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>D1I</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB.</scope><scope>KB0</scope><scope>KL.</scope><scope>L6V</scope><scope>LK8</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>M7N</scope><scope>M7P</scope><scope>M7S</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PATMY</scope><scope>PDBOC</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>RC3</scope><scope>5PM</scope><scope>DOA</scope></search><sort><creationdate>20150813</creationdate><title>A Comparative Metabolomic Evaluation of Behcet's Disease with Arthritis and Seronegative Arthritis Using Synovial Fluid</title><author>Ahn, Joong Kyong ; Kim, Sooah ; Kim, Jungyeon ; Hwang, Jiwon ; Kim, Kyoung Heon ; Cha, Hoon-Suk</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c659t-6b4720fa8d85e803113704cf64fa3f0c1a61f23a44ffc2c14d7755b14c4013913</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2015</creationdate><topic>Adolescent</topic><topic>Adult</topic><topic>Aged</topic><topic>Amino acids</topic><topic>Arthritis</topic><topic>Arthritis - classification</topic><topic>Arthritis - diagnosis</topic><topic>Arthritis - metabolism</topic><topic>Behcet Syndrome - diagnosis</topic><topic>Behcet Syndrome - metabolism</topic><topic>Biomarkers</topic><topic>Biomarkers - metabolism</topic><topic>Biotechnology</topic><topic>Chromatography</topic><topic>Citramalate</topic><topic>Citrulline</topic><topic>Comparative analysis</topic><topic>Cytokines</topic><topic>Diagnosis</topic><topic>Diagnosis, Differential</topic><topic>Discriminant analysis</topic><topic>Disease</topic><topic>Female</topic><topic>Fluid</topic><topic>Fluids</topic><topic>Gas chromatography</topic><topic>Glutamate</topic><topic>Hospitals</topic><topic>Humans</topic><topic>Hyperactivity</topic><topic>Internal medicine</topic><topic>Isoleucine</topic><topic>Leucine</topic><topic>Lysine</topic><topic>Male</topic><topic>Males</topic><topic>Mass spectrometry</topic><topic>Mass spectroscopy</topic><topic>Medicine</topic><topic>Metabolism</topic><topic>Metabolites</topic><topic>Metabolomics</topic><topic>Metabolomics - 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To investigate possible metabolic patterns and potential biomarkers of BD with arthritis, metabolomic profiling of synovial fluid (SF) from 6 patients with BD with arthritis and 18 patients with SNA was performed using gas chromatography/time-of-flight mass spectrometry in conjunction with univariate and multivariate statistical analyses. A total of 123 metabolites were identified from samples. Orthogonal partial least square-discriminant analysis showed clear discrimination between BD with arthritis and SNA. A set of 11 metabolites were identified as potential biomarkers for BD using variable importance for projection values and the Wilcoxon-Mann-Whitney test. Compared with SNA, BD with arthritis exhibited relatively high levels of glutamate, valine, citramalate, leucine, methionine sulfoxide, glycerate, phosphate, lysine, isoleucine, urea, and citrulline. There were two markers identified, elevated methionine sulfoxide and citrulline, that were associated with increased oxidative stress, providing a potential link to BD-associated neutrophil hyperactivity. Glutamate, citramalate, and valine were selected and validated as putative biomarkers for BD with arthritis (sensitivity, 100%; specificity, 61.1%). This is the first report to present potential biomarkers from SF for discriminating BD with arthritis from SNA. The metabolomics of SF may be helpful in searching for potential biomarkers and elucidating the clinicopathogenesis of BD with arthritis.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>26270538</pmid><doi>10.1371/journal.pone.0135856</doi><oa>free_for_read</oa></addata></record> |
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subjects | Adolescent Adult Aged Amino acids Arthritis Arthritis - classification Arthritis - diagnosis Arthritis - metabolism Behcet Syndrome - diagnosis Behcet Syndrome - metabolism Biomarkers Biomarkers - metabolism Biotechnology Chromatography Citramalate Citrulline Comparative analysis Cytokines Diagnosis Diagnosis, Differential Discriminant analysis Disease Female Fluid Fluids Gas chromatography Glutamate Hospitals Humans Hyperactivity Internal medicine Isoleucine Leucine Lysine Male Males Mass spectrometry Mass spectroscopy Medicine Metabolism Metabolites Metabolomics Metabolomics - methods Methionine Middle Aged Oxidative Stress Pathogenesis Patients Rheumatoid arthritis Rheumatology Scientific imaging Statistical analysis Statistical methods Sulfoxides Synovial fluid Synovial Fluid - metabolism Urea Valine Vein & artery diseases Young Adult |
title | A Comparative Metabolomic Evaluation of Behcet's Disease with Arthritis and Seronegative Arthritis Using Synovial Fluid |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-14T21%3A43%3A19IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_plos_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=A%20Comparative%20Metabolomic%20Evaluation%20of%20Behcet's%20Disease%20with%20Arthritis%20and%20Seronegative%20Arthritis%20Using%20Synovial%20Fluid&rft.jtitle=PloS%20one&rft.au=Ahn,%20Joong%20Kyong&rft.date=2015-08-13&rft.volume=10&rft.issue=8&rft.spage=e0135856&rft.pages=e0135856-&rft.issn=1932-6203&rft.eissn=1932-6203&rft_id=info:doi/10.1371/journal.pone.0135856&rft_dat=%3Cgale_plos_%3EA425311211%3C/gale_plos_%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1705071096&rft_id=info:pmid/26270538&rft_galeid=A425311211&rft_doaj_id=oai_doaj_org_article_7cbd8f17df3344c9acbf10989b926caa&rfr_iscdi=true |