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 |
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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 |
format | Article |
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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 <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 <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 <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 & 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</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 <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 <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 <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 & 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 & 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 & 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 & 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 <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 <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 <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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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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