Utility of lymphocyte phenotype profile to differentiate primary Sjögren’s syndrome from sicca syndrome

Abstract Objective To assess the potential diagnostic utility of advanced lymphocyte profiling to differentiate between primary Sjögren’s Syndrome (pSS) and non-Sjögren Sicca syndrome. Methods Distribution of peripheral lymphocyte subpopulations was analysed by flow cytometry in 68 patients with pSS...

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Veröffentlicht in:Rheumatology (Oxford, England) England), 2021-12, Vol.60 (12), p.5647-5658
Hauptverfasser: Loureiro-Amigo, José, Palacio-García, Carlos, Martínez-Gallo, Mónica, Martínez-Valle, Fernando, Ramentol-Sintas, Marc, Soláns-Laqué, Roser
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container_issue 12
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container_title Rheumatology (Oxford, England)
container_volume 60
creator Loureiro-Amigo, José
Palacio-García, Carlos
Martínez-Gallo, Mónica
Martínez-Valle, Fernando
Ramentol-Sintas, Marc
Soláns-Laqué, Roser
description Abstract Objective To assess the potential diagnostic utility of advanced lymphocyte profiling to differentiate between primary Sjögren’s Syndrome (pSS) and non-Sjögren Sicca syndrome. Methods Distribution of peripheral lymphocyte subpopulations was analysed by flow cytometry in 68 patients with pSS, 26 patients with sicca syndrome and 23 healthy controls. The ability to discriminate between pSS and sicca syndrome was analysed using the area under the curve (AUC) of the receiver operating characteristic curve of the different lymphocyte subsets. Results The ratio between naïve/memory B cell proportions showed an AUC of 0.742 to differentiate pSS and sicca syndrome, with a sensitivity of 76.6% and a specificity of 72% for a cut-off value of 3.4. The ratio of non-switched memory B cells to activated CD4+ T cells percentage (BNSM/CD4ACT) presented the highest AUC (0.840) with a sensitivity of 83.3% and specificity of 81.7% for a cut-off value
doi_str_mv 10.1093/rheumatology/keab170
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Methods Distribution of peripheral lymphocyte subpopulations was analysed by flow cytometry in 68 patients with pSS, 26 patients with sicca syndrome and 23 healthy controls. The ability to discriminate between pSS and sicca syndrome was analysed using the area under the curve (AUC) of the receiver operating characteristic curve of the different lymphocyte subsets. Results The ratio between naïve/memory B cell proportions showed an AUC of 0.742 to differentiate pSS and sicca syndrome, with a sensitivity of 76.6% and a specificity of 72% for a cut-off value of 3.4. The ratio of non-switched memory B cells to activated CD4+ T cells percentage (BNSM/CD4ACT) presented the highest AUC (0.840) with a sensitivity of 83.3% and specificity of 81.7% for a cut-off value &lt;4.1. To differentiate seronegative pSS patients from sicca patients, the BNSM/CD4ACT ratio exhibited an AUC of 0.742 (sensitivity 75%, specificity 66.7%, cut-off value &lt;4.4), and the number of naïve CD4 T cells had an AUC of 0.821 (sensitivity 76.9%, specificity 88.9%, cut-off value &lt;312/mm3). Conclusion Patients with pSS show a profound imbalance in the distribution of circulating T and B lymphocyte subsets. The ratio BNSM/CD4ACT is useful to discriminate between pSS and sicca syndrome.</description><identifier>ISSN: 1462-0324</identifier><identifier>EISSN: 1462-0332</identifier><identifier>DOI: 10.1093/rheumatology/keab170</identifier><identifier>PMID: 33620072</identifier><language>eng</language><publisher>OXFORD: Oxford University Press</publisher><subject>Adult ; Aged ; Diagnosis, Differential ; Female ; Flow Cytometry ; Follow-Up Studies ; Humans ; Keratoconjunctivitis Sicca - diagnosis ; Keratoconjunctivitis Sicca - immunology ; Life Sciences &amp; Biomedicine ; Lymphocyte Subsets - immunology ; Lymphocyte Subsets - pathology ; Male ; Middle Aged ; Retrospective Studies ; Rheumatology ; ROC Curve ; Science &amp; Technology ; Sjogren's Syndrome - diagnosis ; Sjogren's Syndrome - immunology</subject><ispartof>Rheumatology (Oxford, England), 2021-12, Vol.60 (12), p.5647-5658</ispartof><rights>The Author(s) 2021. Published by Oxford University Press on behalf of the British Society for Rheumatology. All rights reserved. For permissions, please email: journals.permissions@oup.com 2021</rights><rights>The Author(s) 2021. Published by Oxford University Press on behalf of the British Society for Rheumatology. All rights reserved. For permissions, please email: journals.permissions@oup.com.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>true</woscitedreferencessubscribed><woscitedreferencescount>4</woscitedreferencescount><woscitedreferencesoriginalsourcerecordid>wos000746212300033</woscitedreferencesoriginalsourcerecordid><citedby>FETCH-LOGICAL-c347t-223c202450ffad7e69fcbe65b9aa647a2d865fdb8b759401a4847ff2358926963</citedby><cites>FETCH-LOGICAL-c347t-223c202450ffad7e69fcbe65b9aa647a2d865fdb8b759401a4847ff2358926963</cites><orcidid>0000-0002-6451-8971</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>315,781,785,27929,27930,39263</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/33620072$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Loureiro-Amigo, José</creatorcontrib><creatorcontrib>Palacio-García, Carlos</creatorcontrib><creatorcontrib>Martínez-Gallo, Mónica</creatorcontrib><creatorcontrib>Martínez-Valle, Fernando</creatorcontrib><creatorcontrib>Ramentol-Sintas, Marc</creatorcontrib><creatorcontrib>Soláns-Laqué, Roser</creatorcontrib><title>Utility of lymphocyte phenotype profile to differentiate primary Sjögren’s syndrome from sicca syndrome</title><title>Rheumatology (Oxford, England)</title><addtitle>RHEUMATOLOGY</addtitle><addtitle>Rheumatology (Oxford)</addtitle><description>Abstract Objective To assess the potential diagnostic utility of advanced lymphocyte profiling to differentiate between primary Sjögren’s Syndrome (pSS) and non-Sjögren Sicca syndrome. Methods Distribution of peripheral lymphocyte subpopulations was analysed by flow cytometry in 68 patients with pSS, 26 patients with sicca syndrome and 23 healthy controls. The ability to discriminate between pSS and sicca syndrome was analysed using the area under the curve (AUC) of the receiver operating characteristic curve of the different lymphocyte subsets. Results The ratio between naïve/memory B cell proportions showed an AUC of 0.742 to differentiate pSS and sicca syndrome, with a sensitivity of 76.6% and a specificity of 72% for a cut-off value of 3.4. The ratio of non-switched memory B cells to activated CD4+ T cells percentage (BNSM/CD4ACT) presented the highest AUC (0.840) with a sensitivity of 83.3% and specificity of 81.7% for a cut-off value &lt;4.1. To differentiate seronegative pSS patients from sicca patients, the BNSM/CD4ACT ratio exhibited an AUC of 0.742 (sensitivity 75%, specificity 66.7%, cut-off value &lt;4.4), and the number of naïve CD4 T cells had an AUC of 0.821 (sensitivity 76.9%, specificity 88.9%, cut-off value &lt;312/mm3). Conclusion Patients with pSS show a profound imbalance in the distribution of circulating T and B lymphocyte subsets. The ratio BNSM/CD4ACT is useful to discriminate between pSS and sicca syndrome.</description><subject>Adult</subject><subject>Aged</subject><subject>Diagnosis, Differential</subject><subject>Female</subject><subject>Flow Cytometry</subject><subject>Follow-Up Studies</subject><subject>Humans</subject><subject>Keratoconjunctivitis Sicca - diagnosis</subject><subject>Keratoconjunctivitis Sicca - immunology</subject><subject>Life Sciences &amp; Biomedicine</subject><subject>Lymphocyte Subsets - immunology</subject><subject>Lymphocyte Subsets - pathology</subject><subject>Male</subject><subject>Middle Aged</subject><subject>Retrospective Studies</subject><subject>Rheumatology</subject><subject>ROC Curve</subject><subject>Science &amp; Technology</subject><subject>Sjogren's Syndrome - diagnosis</subject><subject>Sjogren's Syndrome - immunology</subject><issn>1462-0324</issn><issn>1462-0332</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>HGBXW</sourceid><sourceid>EIF</sourceid><recordid>eNqNkU1OwzAQhS0EouXnBgh5iYRKHduJkyWq-JOQWEDXkeOMW5ckLrEjlB3X4CJcgJtwEly1VCy7sZ9G3_OM3yB0FpGriGRs3M6hq6W3lZ3141eQRSTIHhpGPKEjwhjd32rKB-jIuQUhJI5YeogGjCWUEEGHaDH1pjK-x1bjqq-Xc6t6D3g5h8b6fhlUa7WpAHuLS6M1tNB4I1dIa2rZ9vh58f01C9Wfj0-HXd-Ura0B63BiZ5SS29oJOtCycnC6uY_R9PbmZXI_eny6e5hcP44U48KPKGWKEspjorUsBSSZVgUkcZFJmXAhaZkmsS6LtBBxxkkkecqF1pTFaUaTLGHH6GL9bhj9rQPn89o4BVUlG7CdyykPXJyyWASUr1HVWuda0PnmV3lE8lXK-f-U803KwXa-6dAVNZRb01-sAUjXwDsUVjtloFGwxcIeRNhMRFlQjE2Ml97YZmK7xgfr5e7WQI_XtO2Wu83-C46tsyU</recordid><startdate>20211201</startdate><enddate>20211201</enddate><creator>Loureiro-Amigo, José</creator><creator>Palacio-García, Carlos</creator><creator>Martínez-Gallo, Mónica</creator><creator>Martínez-Valle, Fernando</creator><creator>Ramentol-Sintas, Marc</creator><creator>Soláns-Laqué, Roser</creator><general>Oxford University Press</general><general>Oxford Univ Press</general><scope>BLEPL</scope><scope>DTL</scope><scope>HGBXW</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><orcidid>https://orcid.org/0000-0002-6451-8971</orcidid></search><sort><creationdate>20211201</creationdate><title>Utility of lymphocyte phenotype profile to differentiate primary Sjögren’s syndrome from sicca syndrome</title><author>Loureiro-Amigo, José ; Palacio-García, Carlos ; Martínez-Gallo, Mónica ; Martínez-Valle, Fernando ; Ramentol-Sintas, Marc ; Soláns-Laqué, Roser</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c347t-223c202450ffad7e69fcbe65b9aa647a2d865fdb8b759401a4847ff2358926963</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Adult</topic><topic>Aged</topic><topic>Diagnosis, Differential</topic><topic>Female</topic><topic>Flow Cytometry</topic><topic>Follow-Up Studies</topic><topic>Humans</topic><topic>Keratoconjunctivitis Sicca - diagnosis</topic><topic>Keratoconjunctivitis Sicca - immunology</topic><topic>Life Sciences &amp; Biomedicine</topic><topic>Lymphocyte Subsets - immunology</topic><topic>Lymphocyte Subsets - pathology</topic><topic>Male</topic><topic>Middle Aged</topic><topic>Retrospective Studies</topic><topic>Rheumatology</topic><topic>ROC Curve</topic><topic>Science &amp; Technology</topic><topic>Sjogren's Syndrome - diagnosis</topic><topic>Sjogren's Syndrome - immunology</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Loureiro-Amigo, José</creatorcontrib><creatorcontrib>Palacio-García, Carlos</creatorcontrib><creatorcontrib>Martínez-Gallo, Mónica</creatorcontrib><creatorcontrib>Martínez-Valle, Fernando</creatorcontrib><creatorcontrib>Ramentol-Sintas, Marc</creatorcontrib><creatorcontrib>Soláns-Laqué, Roser</creatorcontrib><collection>Web of Science Core Collection</collection><collection>Science Citation Index Expanded</collection><collection>Web of Science - Science Citation Index Expanded - 2021</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><jtitle>Rheumatology (Oxford, England)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Loureiro-Amigo, José</au><au>Palacio-García, Carlos</au><au>Martínez-Gallo, Mónica</au><au>Martínez-Valle, Fernando</au><au>Ramentol-Sintas, Marc</au><au>Soláns-Laqué, Roser</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Utility of lymphocyte phenotype profile to differentiate primary Sjögren’s syndrome from sicca syndrome</atitle><jtitle>Rheumatology (Oxford, England)</jtitle><stitle>RHEUMATOLOGY</stitle><addtitle>Rheumatology (Oxford)</addtitle><date>2021-12-01</date><risdate>2021</risdate><volume>60</volume><issue>12</issue><spage>5647</spage><epage>5658</epage><pages>5647-5658</pages><issn>1462-0324</issn><eissn>1462-0332</eissn><abstract>Abstract Objective To assess the potential diagnostic utility of advanced lymphocyte profiling to differentiate between primary Sjögren’s Syndrome (pSS) and non-Sjögren Sicca syndrome. Methods Distribution of peripheral lymphocyte subpopulations was analysed by flow cytometry in 68 patients with pSS, 26 patients with sicca syndrome and 23 healthy controls. The ability to discriminate between pSS and sicca syndrome was analysed using the area under the curve (AUC) of the receiver operating characteristic curve of the different lymphocyte subsets. Results The ratio between naïve/memory B cell proportions showed an AUC of 0.742 to differentiate pSS and sicca syndrome, with a sensitivity of 76.6% and a specificity of 72% for a cut-off value of 3.4. The ratio of non-switched memory B cells to activated CD4+ T cells percentage (BNSM/CD4ACT) presented the highest AUC (0.840) with a sensitivity of 83.3% and specificity of 81.7% for a cut-off value &lt;4.1. To differentiate seronegative pSS patients from sicca patients, the BNSM/CD4ACT ratio exhibited an AUC of 0.742 (sensitivity 75%, specificity 66.7%, cut-off value &lt;4.4), and the number of naïve CD4 T cells had an AUC of 0.821 (sensitivity 76.9%, specificity 88.9%, cut-off value &lt;312/mm3). Conclusion Patients with pSS show a profound imbalance in the distribution of circulating T and B lymphocyte subsets. The ratio BNSM/CD4ACT is useful to discriminate between pSS and sicca syndrome.</abstract><cop>OXFORD</cop><pub>Oxford University Press</pub><pmid>33620072</pmid><doi>10.1093/rheumatology/keab170</doi><tpages>12</tpages><orcidid>https://orcid.org/0000-0002-6451-8971</orcidid></addata></record>
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source MEDLINE; Oxford University Press Journals All Titles (1996-Current); Web of Science - Science Citation Index Expanded - 2021<img src="https://exlibris-pub.s3.amazonaws.com/fromwos-v2.jpg" />; Alma/SFX Local Collection
subjects Adult
Aged
Diagnosis, Differential
Female
Flow Cytometry
Follow-Up Studies
Humans
Keratoconjunctivitis Sicca - diagnosis
Keratoconjunctivitis Sicca - immunology
Life Sciences & Biomedicine
Lymphocyte Subsets - immunology
Lymphocyte Subsets - pathology
Male
Middle Aged
Retrospective Studies
Rheumatology
ROC Curve
Science & Technology
Sjogren's Syndrome - diagnosis
Sjogren's Syndrome - immunology
title Utility of lymphocyte phenotype profile to differentiate primary Sjögren’s syndrome from sicca syndrome
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