Cytokine and chemokine profiles in fibromyalgia, rheumatoid arthritis and systemic lupus erythematosus: a potentially useful tool in differential diagnosis
Making a correct diagnosis is pivotal in the practice of clinical rheumatology. Occasionally, the consultation fails to provide desired clarity in making labeling an individual as having fibromyalgia (FM), systemic lupus erythematosus (SLE) or rheumatoid arthritis (RA). A chemokine and cytokine mult...
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description | Making a correct diagnosis is pivotal in the practice of clinical rheumatology. Occasionally, the consultation fails to provide desired clarity in making labeling an individual as having fibromyalgia (FM), systemic lupus erythematosus (SLE) or rheumatoid arthritis (RA). A chemokine and cytokine multiplex assay was developed and tested with the goal of improving and achieving an accurate differential diagnosis. 160 patients with FM, 98 with RA and 100 with SLE fulfilling accepted criteria were recruited and compared to 119 controls. Supernatant cytokine concentrations for IL-6, IL-8, MIP-1 alpha and MIP-1 beta were determined using the Luminex multiplex immunoassay bead array technology after mitogenic stimulation of cultured peripheral blood mononuclear cells. Each patient’s profile was scored using a logistical regression model to achieve statistically determined weighting for each chemokine and cytokine. Among the 477 patients evaluated, the mean scores for FM (1.7 ± 1.2; 1.52–1.89), controls (−3.56 ± 5.7; −4.59 to −2.54), RA (−0.68 ± 2.26; −1.12 to −0.23) and SLE (−1.45 ± 3.34, −2.1 to −0.79). Ninety-three percent with FM scored positive compared to only 11 % of healthy controls, 69 % RA or 71 % SLE patients had negative scores. The sensitivity, specificity, positive predictive and negative predictive value for having FM compared to controls was 93, 89, 92 and 91 %, respectively (
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p
< 2.2 × 10
−16
). Evaluating cytokine and chemokine profiles in stimulated cells reveals patterns that are uniquely present in patients with FM. This assay can be a useful tool in assisting clinicians in differentiating systemic inflammatory autoimmune processes from FM and its related syndromes and healthy individuals.</description><identifier>ISSN: 0172-8172</identifier><identifier>EISSN: 1437-160X</identifier><identifier>DOI: 10.1007/s00296-014-3172-2</identifier><identifier>PMID: 25377646</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Adolescent ; Adult ; Aged ; Aged, 80 and over ; Arthritis, Rheumatoid - blood ; Arthritis, Rheumatoid - diagnosis ; Arthritis, Rheumatoid - immunology ; Biomarkers - blood ; Case-Control Studies ; Cells, Cultured ; Chemokines - blood ; Cytokines - blood ; Diagnosis, Differential ; Female ; Fibromyalgia - blood ; Fibromyalgia - diagnosis ; Fibromyalgia - immunology ; Humans ; Inflammation Mediators - blood ; Leukocytes, Mononuclear - immunology ; Leukocytes, Mononuclear - metabolism ; Logistic Models ; Lupus Erythematosus, Systemic - blood ; Lupus Erythematosus, Systemic - diagnosis ; Lupus Erythematosus, Systemic - immunology ; Male ; Medicine ; Medicine & Public Health ; Middle Aged ; Original - Validation Studies ; Original Article - Validation Studies ; Predictive Value of Tests ; Rheumatology ; Young Adult</subject><ispartof>Rheumatology international, 2015-06, Vol.35 (6), p.991-996</ispartof><rights>The Author(s) 2014</rights><rights>Springer-Verlag Berlin Heidelberg 2015</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c540t-f95147a21e670416fd3bcb41fa68d6a4f593996c395d5c2868bae6b962c89f063</citedby><cites>FETCH-LOGICAL-c540t-f95147a21e670416fd3bcb41fa68d6a4f593996c395d5c2868bae6b962c89f063</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/s00296-014-3172-2$$EPDF$$P50$$Gspringer$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s00296-014-3172-2$$EHTML$$P50$$Gspringer$$Hfree_for_read</linktohtml><link.rule.ids>230,314,778,782,883,27911,27912,41475,42544,51306</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/25377646$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Wallace, Daniel J.</creatorcontrib><creatorcontrib>Gavin, Igor M.</creatorcontrib><creatorcontrib>Karpenko, Oleksly</creatorcontrib><creatorcontrib>Barkhordar, Farnaz</creatorcontrib><creatorcontrib>Gillis, Bruce S.</creatorcontrib><title>Cytokine and chemokine profiles in fibromyalgia, rheumatoid arthritis and systemic lupus erythematosus: a potentially useful tool in differential diagnosis</title><title>Rheumatology international</title><addtitle>Rheumatol Int</addtitle><addtitle>Rheumatol Int</addtitle><description>Making a correct diagnosis is pivotal in the practice of clinical rheumatology. Occasionally, the consultation fails to provide desired clarity in making labeling an individual as having fibromyalgia (FM), systemic lupus erythematosus (SLE) or rheumatoid arthritis (RA). A chemokine and cytokine multiplex assay was developed and tested with the goal of improving and achieving an accurate differential diagnosis. 160 patients with FM, 98 with RA and 100 with SLE fulfilling accepted criteria were recruited and compared to 119 controls. Supernatant cytokine concentrations for IL-6, IL-8, MIP-1 alpha and MIP-1 beta were determined using the Luminex multiplex immunoassay bead array technology after mitogenic stimulation of cultured peripheral blood mononuclear cells. Each patient’s profile was scored using a logistical regression model to achieve statistically determined weighting for each chemokine and cytokine. Among the 477 patients evaluated, the mean scores for FM (1.7 ± 1.2; 1.52–1.89), controls (−3.56 ± 5.7; −4.59 to −2.54), RA (−0.68 ± 2.26; −1.12 to −0.23) and SLE (−1.45 ± 3.34, −2.1 to −0.79). Ninety-three percent with FM scored positive compared to only 11 % of healthy controls, 69 % RA or 71 % SLE patients had negative scores. The sensitivity, specificity, positive predictive and negative predictive value for having FM compared to controls was 93, 89, 92 and 91 %, respectively (
p
< 2.2 × 10
−16
). Evaluating cytokine and chemokine profiles in stimulated cells reveals patterns that are uniquely present in patients with FM. This assay can be a useful tool in assisting clinicians in differentiating systemic inflammatory autoimmune processes from FM and its related syndromes and healthy individuals.</description><subject>Adolescent</subject><subject>Adult</subject><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>Arthritis, Rheumatoid - blood</subject><subject>Arthritis, Rheumatoid - diagnosis</subject><subject>Arthritis, Rheumatoid - immunology</subject><subject>Biomarkers - blood</subject><subject>Case-Control Studies</subject><subject>Cells, Cultured</subject><subject>Chemokines - blood</subject><subject>Cytokines - blood</subject><subject>Diagnosis, Differential</subject><subject>Female</subject><subject>Fibromyalgia - blood</subject><subject>Fibromyalgia - diagnosis</subject><subject>Fibromyalgia - immunology</subject><subject>Humans</subject><subject>Inflammation Mediators - blood</subject><subject>Leukocytes, Mononuclear - immunology</subject><subject>Leukocytes, Mononuclear - metabolism</subject><subject>Logistic Models</subject><subject>Lupus Erythematosus, Systemic - blood</subject><subject>Lupus Erythematosus, Systemic - diagnosis</subject><subject>Lupus Erythematosus, Systemic - immunology</subject><subject>Male</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Middle Aged</subject><subject>Original - Validation Studies</subject><subject>Original Article - Validation Studies</subject><subject>Predictive Value of Tests</subject><subject>Rheumatology</subject><subject>Young Adult</subject><issn>0172-8172</issn><issn>1437-160X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2015</creationdate><recordtype>article</recordtype><sourceid>C6C</sourceid><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><recordid>eNp1kcuKFTEQhoMoznH0AdxIwI0LW5N0ku64GJCDNxhwo-AupNPJORnTnTYXoZ_FlzVnehxGwU1CVX31VxU_AE8xeoUR6l4nhIjgDcK0aXFHGnIP7DBtuwZz9O0-2KFTsq_PGXiU0hWqMefoITgjrO06TvkO_NqvOXx3s4FqHqE-mmmLlhis8yZBN0PrhhimVfmDUy9hPJoyqRzcCFXMx-iyS9fNaU3ZTE5DX5aSoIlrrnKVTCW9gQouIZs5O-X9CksytniYQ_CnCaOz1sStWgN1mENy6TF4YJVP5snNfw6-vn_3Zf-xufz84dP-7WWjGUW5sYJh2imCDe8QxdyO7aAHiq3i_cgVtUy0QnDdCjYyTXreD8rwQXCie2ERb8_Bxaa7lGEyo657ROXlEt2k4iqDcvLvyuyO8hB-SkpbJhCrAi9uBGL4UUzKcnJJG-_VbEJJEvMeC8wx6ir6_B_0KpQ41_OuKcJYj3Cl8EbpGFKKxt4ug5E8WS8362W1Xp6sl6T2PLt7xW3HH68rQDYg1dJ8MPHO6P-q_gYo2L5z</recordid><startdate>20150601</startdate><enddate>20150601</enddate><creator>Wallace, Daniel J.</creator><creator>Gavin, Igor M.</creator><creator>Karpenko, Oleksly</creator><creator>Barkhordar, Farnaz</creator><creator>Gillis, Bruce S.</creator><general>Springer Berlin Heidelberg</general><general>Springer Nature B.V</general><scope>C6C</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>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><scope>5PM</scope></search><sort><creationdate>20150601</creationdate><title>Cytokine and chemokine profiles in fibromyalgia, rheumatoid arthritis and systemic lupus erythematosus: a potentially useful tool in differential diagnosis</title><author>Wallace, Daniel J. ; Gavin, Igor M. ; Karpenko, Oleksly ; Barkhordar, Farnaz ; Gillis, Bruce S.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c540t-f95147a21e670416fd3bcb41fa68d6a4f593996c395d5c2868bae6b962c89f063</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2015</creationdate><topic>Adolescent</topic><topic>Adult</topic><topic>Aged</topic><topic>Aged, 80 and over</topic><topic>Arthritis, Rheumatoid - blood</topic><topic>Arthritis, Rheumatoid - diagnosis</topic><topic>Arthritis, Rheumatoid - immunology</topic><topic>Biomarkers - blood</topic><topic>Case-Control Studies</topic><topic>Cells, Cultured</topic><topic>Chemokines - blood</topic><topic>Cytokines - blood</topic><topic>Diagnosis, Differential</topic><topic>Female</topic><topic>Fibromyalgia - blood</topic><topic>Fibromyalgia - diagnosis</topic><topic>Fibromyalgia - immunology</topic><topic>Humans</topic><topic>Inflammation Mediators - blood</topic><topic>Leukocytes, Mononuclear - immunology</topic><topic>Leukocytes, Mononuclear - metabolism</topic><topic>Logistic Models</topic><topic>Lupus Erythematosus, Systemic - blood</topic><topic>Lupus Erythematosus, Systemic - diagnosis</topic><topic>Lupus Erythematosus, Systemic - immunology</topic><topic>Male</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Middle Aged</topic><topic>Original - Validation Studies</topic><topic>Original Article - Validation Studies</topic><topic>Predictive Value of Tests</topic><topic>Rheumatology</topic><topic>Young Adult</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Wallace, Daniel J.</creatorcontrib><creatorcontrib>Gavin, Igor M.</creatorcontrib><creatorcontrib>Karpenko, Oleksly</creatorcontrib><creatorcontrib>Barkhordar, Farnaz</creatorcontrib><creatorcontrib>Gillis, Bruce S.</creatorcontrib><collection>Springer Nature OA Free Journals</collection><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><collection>PubMed Central (Full Participant titles)</collection><jtitle>Rheumatology international</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Wallace, Daniel J.</au><au>Gavin, Igor M.</au><au>Karpenko, Oleksly</au><au>Barkhordar, Farnaz</au><au>Gillis, Bruce S.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Cytokine and chemokine profiles in fibromyalgia, rheumatoid arthritis and systemic lupus erythematosus: a potentially useful tool in differential diagnosis</atitle><jtitle>Rheumatology international</jtitle><stitle>Rheumatol Int</stitle><addtitle>Rheumatol Int</addtitle><date>2015-06-01</date><risdate>2015</risdate><volume>35</volume><issue>6</issue><spage>991</spage><epage>996</epage><pages>991-996</pages><issn>0172-8172</issn><eissn>1437-160X</eissn><abstract>Making a correct diagnosis is pivotal in the practice of clinical rheumatology. Occasionally, the consultation fails to provide desired clarity in making labeling an individual as having fibromyalgia (FM), systemic lupus erythematosus (SLE) or rheumatoid arthritis (RA). A chemokine and cytokine multiplex assay was developed and tested with the goal of improving and achieving an accurate differential diagnosis. 160 patients with FM, 98 with RA and 100 with SLE fulfilling accepted criteria were recruited and compared to 119 controls. Supernatant cytokine concentrations for IL-6, IL-8, MIP-1 alpha and MIP-1 beta were determined using the Luminex multiplex immunoassay bead array technology after mitogenic stimulation of cultured peripheral blood mononuclear cells. Each patient’s profile was scored using a logistical regression model to achieve statistically determined weighting for each chemokine and cytokine. Among the 477 patients evaluated, the mean scores for FM (1.7 ± 1.2; 1.52–1.89), controls (−3.56 ± 5.7; −4.59 to −2.54), RA (−0.68 ± 2.26; −1.12 to −0.23) and SLE (−1.45 ± 3.34, −2.1 to −0.79). Ninety-three percent with FM scored positive compared to only 11 % of healthy controls, 69 % RA or 71 % SLE patients had negative scores. The sensitivity, specificity, positive predictive and negative predictive value for having FM compared to controls was 93, 89, 92 and 91 %, respectively (
p
< 2.2 × 10
−16
). Evaluating cytokine and chemokine profiles in stimulated cells reveals patterns that are uniquely present in patients with FM. This assay can be a useful tool in assisting clinicians in differentiating systemic inflammatory autoimmune processes from FM and its related syndromes and healthy individuals.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><pmid>25377646</pmid><doi>10.1007/s00296-014-3172-2</doi><tpages>6</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Adolescent Adult Aged Aged, 80 and over Arthritis, Rheumatoid - blood Arthritis, Rheumatoid - diagnosis Arthritis, Rheumatoid - immunology Biomarkers - blood Case-Control Studies Cells, Cultured Chemokines - blood Cytokines - blood Diagnosis, Differential Female Fibromyalgia - blood Fibromyalgia - diagnosis Fibromyalgia - immunology Humans Inflammation Mediators - blood Leukocytes, Mononuclear - immunology Leukocytes, Mononuclear - metabolism Logistic Models Lupus Erythematosus, Systemic - blood Lupus Erythematosus, Systemic - diagnosis Lupus Erythematosus, Systemic - immunology Male Medicine Medicine & Public Health Middle Aged Original - Validation Studies Original Article - Validation Studies Predictive Value of Tests Rheumatology Young Adult |
title | Cytokine and chemokine profiles in fibromyalgia, rheumatoid arthritis and systemic lupus erythematosus: a potentially useful tool in differential diagnosis |
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