Serum biomarkers for the diagnosis and monitoring of chronic recurrent multifocal osteomyelitis (CRMO)
Chronic recurrent multifocal osteomyelitis (CRMO), the most severe form of chronic nonbacterial osteomyelitis, is an autoinflammatory bone disorder. A timely diagnosis and treatment initiation is complicated by the absence of widely accepted diagnostic criteria and an incomplete pathophysiological u...
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description | Chronic recurrent multifocal osteomyelitis (CRMO), the most severe form of chronic nonbacterial osteomyelitis, is an autoinflammatory bone disorder. A timely diagnosis and treatment initiation is complicated by the absence of widely accepted diagnostic criteria and an incomplete pathophysiological understanding. The aim of this study was to determine biomarkers for the diagnosis and follow-up of CRMO. Serum of 56 CRMO patients was collected at the time of diagnosis. As controls, sera from treatment-naïve age-matched patients with Crohn’s disease (
N
= 62) or JIA (
N
= 28) as well as healthy individuals (
N
= 62) were collected. Multiplex analysis of 25 inflammation markers was performed. Statistical analysis was performed using Kruskal–Wallis and Mann–Whitney
U
tests, canonical discriminant analysis, and mixed model variance analysis. Mostly monocyte-derived serum proteins were detectable and differed significantly between groups: IL-1RA, IL-2R, IL-6, IL-12, eotaxin, MCP-1, MIP-1b, RANTES. Multicomponent discriminant analysis allowed for the definition of algorithms differentiating between CRMO, Crohn’s disease, and healthy controls. Persistently high levels of MCP-1, IL-12, sIL-2R correlated with incomplete remission in follow-up samples from CRMO patients. Discrimination algorithms allow differentiation between patients with CRMO or Crohn’s disease, and healthy individuals. IL-12, MCP-1, and sIL-2R can act as markers for treatment response. Though confirmation of our findings in larger multiethnical cohorts is warranted, they may prove valuable to differentiate between otherwise healthy individuals or Crohn’s disease patients with “bone pain” and CRMO patients. The elevation of mainly monocyte-derived pro-inflammatory serum proteins supports the hypothesis of pro-inflammatory monocyte/macrophages driving inflammation in CRMO. |
doi_str_mv | 10.1007/s00296-016-3466-7 |
format | Article |
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N
= 62) or JIA (
N
= 28) as well as healthy individuals (
N
= 62) were collected. Multiplex analysis of 25 inflammation markers was performed. Statistical analysis was performed using Kruskal–Wallis and Mann–Whitney
U
tests, canonical discriminant analysis, and mixed model variance analysis. Mostly monocyte-derived serum proteins were detectable and differed significantly between groups: IL-1RA, IL-2R, IL-6, IL-12, eotaxin, MCP-1, MIP-1b, RANTES. Multicomponent discriminant analysis allowed for the definition of algorithms differentiating between CRMO, Crohn’s disease, and healthy controls. Persistently high levels of MCP-1, IL-12, sIL-2R correlated with incomplete remission in follow-up samples from CRMO patients. Discrimination algorithms allow differentiation between patients with CRMO or Crohn’s disease, and healthy individuals. IL-12, MCP-1, and sIL-2R can act as markers for treatment response. Though confirmation of our findings in larger multiethnical cohorts is warranted, they may prove valuable to differentiate between otherwise healthy individuals or Crohn’s disease patients with “bone pain” and CRMO patients. The elevation of mainly monocyte-derived pro-inflammatory serum proteins supports the hypothesis of pro-inflammatory monocyte/macrophages driving inflammation in CRMO.</description><identifier>ISSN: 0172-8172</identifier><identifier>EISSN: 1437-160X</identifier><identifier>DOI: 10.1007/s00296-016-3466-7</identifier><identifier>PMID: 27000045</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Adolescent ; Algorithms ; Analysis of Variance ; Anti-Inflammatory Agents, Non-Steroidal - therapeutic use ; Arthritis, Juvenile - blood ; Arthritis, Juvenile - diagnosis ; Biomarkers ; Biomarkers - blood ; Case-Control Studies ; Child ; Crohn Disease - blood ; Crohn Disease - diagnosis ; Cytokines - blood ; Diagnosis, Differential ; Discriminant Analysis ; Female ; Humans ; Inflammation Mediators - blood ; Male ; Medicine ; Medicine & Public Health ; Naproxen - therapeutic use ; Osteomyelitis - blood ; Osteomyelitis - diagnosis ; Osteomyelitis - drug therapy ; Predictive Value of Tests ; Prospective Studies ; Rheumatology ; Severity of Illness Index ; Treatment Outcome</subject><ispartof>Rheumatology international, 2016-06, Vol.36 (6), p.769-779</ispartof><rights>Springer-Verlag Berlin Heidelberg 2016</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c438t-ef5c7f9ff687fa8b2a531caa09b650a0331a1f65e90ffb1af68b0fbbf588afce3</citedby><cites>FETCH-LOGICAL-c438t-ef5c7f9ff687fa8b2a531caa09b650a0331a1f65e90ffb1af68b0fbbf588afce3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s00296-016-3466-7$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s00296-016-3466-7$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,780,784,27924,27925,41488,42557,51319</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/27000045$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Hofmann, Sigrun Renate</creatorcontrib><creatorcontrib>Kubasch, Anne Sophie</creatorcontrib><creatorcontrib>Range, Ursula</creatorcontrib><creatorcontrib>Laass, Martin Walther</creatorcontrib><creatorcontrib>Morbach, Henner</creatorcontrib><creatorcontrib>Girschick, Hermann Joseph</creatorcontrib><creatorcontrib>Hedrich, Christian Michael</creatorcontrib><title>Serum biomarkers for the diagnosis and monitoring of chronic recurrent multifocal osteomyelitis (CRMO)</title><title>Rheumatology international</title><addtitle>Rheumatol Int</addtitle><addtitle>Rheumatol Int</addtitle><description>Chronic recurrent multifocal osteomyelitis (CRMO), the most severe form of chronic nonbacterial osteomyelitis, is an autoinflammatory bone disorder. A timely diagnosis and treatment initiation is complicated by the absence of widely accepted diagnostic criteria and an incomplete pathophysiological understanding. The aim of this study was to determine biomarkers for the diagnosis and follow-up of CRMO. Serum of 56 CRMO patients was collected at the time of diagnosis. As controls, sera from treatment-naïve age-matched patients with Crohn’s disease (
N
= 62) or JIA (
N
= 28) as well as healthy individuals (
N
= 62) were collected. Multiplex analysis of 25 inflammation markers was performed. Statistical analysis was performed using Kruskal–Wallis and Mann–Whitney
U
tests, canonical discriminant analysis, and mixed model variance analysis. Mostly monocyte-derived serum proteins were detectable and differed significantly between groups: IL-1RA, IL-2R, IL-6, IL-12, eotaxin, MCP-1, MIP-1b, RANTES. Multicomponent discriminant analysis allowed for the definition of algorithms differentiating between CRMO, Crohn’s disease, and healthy controls. Persistently high levels of MCP-1, IL-12, sIL-2R correlated with incomplete remission in follow-up samples from CRMO patients. Discrimination algorithms allow differentiation between patients with CRMO or Crohn’s disease, and healthy individuals. IL-12, MCP-1, and sIL-2R can act as markers for treatment response. Though confirmation of our findings in larger multiethnical cohorts is warranted, they may prove valuable to differentiate between otherwise healthy individuals or Crohn’s disease patients with “bone pain” and CRMO patients. The elevation of mainly monocyte-derived pro-inflammatory serum proteins supports the hypothesis of pro-inflammatory monocyte/macrophages driving inflammation in CRMO.</description><subject>Adolescent</subject><subject>Algorithms</subject><subject>Analysis of Variance</subject><subject>Anti-Inflammatory Agents, Non-Steroidal - therapeutic use</subject><subject>Arthritis, Juvenile - blood</subject><subject>Arthritis, Juvenile - diagnosis</subject><subject>Biomarkers</subject><subject>Biomarkers - blood</subject><subject>Case-Control Studies</subject><subject>Child</subject><subject>Crohn Disease - blood</subject><subject>Crohn Disease - diagnosis</subject><subject>Cytokines - blood</subject><subject>Diagnosis, Differential</subject><subject>Discriminant Analysis</subject><subject>Female</subject><subject>Humans</subject><subject>Inflammation Mediators - blood</subject><subject>Male</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Naproxen - therapeutic use</subject><subject>Osteomyelitis - blood</subject><subject>Osteomyelitis - diagnosis</subject><subject>Osteomyelitis - drug therapy</subject><subject>Predictive Value of Tests</subject><subject>Prospective Studies</subject><subject>Rheumatology</subject><subject>Severity of Illness Index</subject><subject>Treatment Outcome</subject><issn>0172-8172</issn><issn>1437-160X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><recordid>eNp1kUtrGzEUhUVJSZw0P6CbIsjGWUx7NQ9pZhlMXpBi6AO6Exr5XkfJzMiRZhb-95WxG0KgAklc-M6ROIexzwK-CgD1LQLkjcxAyKwopczUBzYTZaEyIeHPEZuBUHlWp-OEncb4BGmWEo7ZSa4grbKaMfqJYep563xvwjOGyMkHPj4iXzmzHnx0kZthxXs_uNEHN6y5J24fQ5otD2inEHAYeT91oyNvTcd9HNH3W-zcmMTzxY_vy8tP7COZLuL54T5jv2-ufy3usofl7f3i6iGzZVGPGVJlFTVEslZk6jY3VSGsMdC0sgIDRSGMIFlhA0StMIlrgdqWqro2ZLE4Y_O97yb4lwnjqHsXLXadGdBPUQvVQEqqrCChF-_QJz-FIf0uUXXTlGk3iRJ7ygYfY0DSm-BSVFstQO9K0PsSdCpB70rQKmm-HJyntsfVq-Jf6gnI90Dc7BLF8Obp_7r-BTf8k70</recordid><startdate>20160601</startdate><enddate>20160601</enddate><creator>Hofmann, Sigrun Renate</creator><creator>Kubasch, Anne Sophie</creator><creator>Range, Ursula</creator><creator>Laass, Martin Walther</creator><creator>Morbach, Henner</creator><creator>Girschick, Hermann Joseph</creator><creator>Hedrich, Christian Michael</creator><general>Springer Berlin Heidelberg</general><general>Springer Nature B.V</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>3V.</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>K9.</scope><scope>M0S</scope><scope>M1P</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope></search><sort><creationdate>20160601</creationdate><title>Serum biomarkers for the diagnosis and monitoring of chronic recurrent multifocal osteomyelitis (CRMO)</title><author>Hofmann, Sigrun Renate ; Kubasch, Anne Sophie ; Range, Ursula ; Laass, Martin Walther ; Morbach, Henner ; Girschick, Hermann Joseph ; Hedrich, Christian Michael</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c438t-ef5c7f9ff687fa8b2a531caa09b650a0331a1f65e90ffb1af68b0fbbf588afce3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>Adolescent</topic><topic>Algorithms</topic><topic>Analysis of Variance</topic><topic>Anti-Inflammatory Agents, Non-Steroidal - therapeutic use</topic><topic>Arthritis, Juvenile - blood</topic><topic>Arthritis, Juvenile - diagnosis</topic><topic>Biomarkers</topic><topic>Biomarkers - blood</topic><topic>Case-Control Studies</topic><topic>Child</topic><topic>Crohn Disease - blood</topic><topic>Crohn Disease - diagnosis</topic><topic>Cytokines - blood</topic><topic>Diagnosis, Differential</topic><topic>Discriminant Analysis</topic><topic>Female</topic><topic>Humans</topic><topic>Inflammation Mediators - blood</topic><topic>Male</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Naproxen - therapeutic use</topic><topic>Osteomyelitis - blood</topic><topic>Osteomyelitis - diagnosis</topic><topic>Osteomyelitis - drug therapy</topic><topic>Predictive Value of Tests</topic><topic>Prospective Studies</topic><topic>Rheumatology</topic><topic>Severity of Illness Index</topic><topic>Treatment Outcome</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Hofmann, Sigrun Renate</creatorcontrib><creatorcontrib>Kubasch, Anne Sophie</creatorcontrib><creatorcontrib>Range, Ursula</creatorcontrib><creatorcontrib>Laass, Martin Walther</creatorcontrib><creatorcontrib>Morbach, Henner</creatorcontrib><creatorcontrib>Girschick, Hermann Joseph</creatorcontrib><creatorcontrib>Hedrich, Christian Michael</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>MEDLINE - Academic</collection><jtitle>Rheumatology international</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Hofmann, Sigrun Renate</au><au>Kubasch, Anne Sophie</au><au>Range, Ursula</au><au>Laass, Martin Walther</au><au>Morbach, Henner</au><au>Girschick, Hermann Joseph</au><au>Hedrich, Christian Michael</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Serum biomarkers for the diagnosis and monitoring of chronic recurrent multifocal osteomyelitis (CRMO)</atitle><jtitle>Rheumatology international</jtitle><stitle>Rheumatol Int</stitle><addtitle>Rheumatol Int</addtitle><date>2016-06-01</date><risdate>2016</risdate><volume>36</volume><issue>6</issue><spage>769</spage><epage>779</epage><pages>769-779</pages><issn>0172-8172</issn><eissn>1437-160X</eissn><abstract>Chronic recurrent multifocal osteomyelitis (CRMO), the most severe form of chronic nonbacterial osteomyelitis, is an autoinflammatory bone disorder. A timely diagnosis and treatment initiation is complicated by the absence of widely accepted diagnostic criteria and an incomplete pathophysiological understanding. The aim of this study was to determine biomarkers for the diagnosis and follow-up of CRMO. Serum of 56 CRMO patients was collected at the time of diagnosis. As controls, sera from treatment-naïve age-matched patients with Crohn’s disease (
N
= 62) or JIA (
N
= 28) as well as healthy individuals (
N
= 62) were collected. Multiplex analysis of 25 inflammation markers was performed. Statistical analysis was performed using Kruskal–Wallis and Mann–Whitney
U
tests, canonical discriminant analysis, and mixed model variance analysis. Mostly monocyte-derived serum proteins were detectable and differed significantly between groups: IL-1RA, IL-2R, IL-6, IL-12, eotaxin, MCP-1, MIP-1b, RANTES. Multicomponent discriminant analysis allowed for the definition of algorithms differentiating between CRMO, Crohn’s disease, and healthy controls. Persistently high levels of MCP-1, IL-12, sIL-2R correlated with incomplete remission in follow-up samples from CRMO patients. Discrimination algorithms allow differentiation between patients with CRMO or Crohn’s disease, and healthy individuals. IL-12, MCP-1, and sIL-2R can act as markers for treatment response. Though confirmation of our findings in larger multiethnical cohorts is warranted, they may prove valuable to differentiate between otherwise healthy individuals or Crohn’s disease patients with “bone pain” and CRMO patients. The elevation of mainly monocyte-derived pro-inflammatory serum proteins supports the hypothesis of pro-inflammatory monocyte/macrophages driving inflammation in CRMO.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><pmid>27000045</pmid><doi>10.1007/s00296-016-3466-7</doi><tpages>11</tpages></addata></record> |
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subjects | Adolescent Algorithms Analysis of Variance Anti-Inflammatory Agents, Non-Steroidal - therapeutic use Arthritis, Juvenile - blood Arthritis, Juvenile - diagnosis Biomarkers Biomarkers - blood Case-Control Studies Child Crohn Disease - blood Crohn Disease - diagnosis Cytokines - blood Diagnosis, Differential Discriminant Analysis Female Humans Inflammation Mediators - blood Male Medicine Medicine & Public Health Naproxen - therapeutic use Osteomyelitis - blood Osteomyelitis - diagnosis Osteomyelitis - drug therapy Predictive Value of Tests Prospective Studies Rheumatology Severity of Illness Index Treatment Outcome |
title | Serum biomarkers for the diagnosis and monitoring of chronic recurrent multifocal osteomyelitis (CRMO) |
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