{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,18]],"date-time":"2026-08-18T00:42:25Z","timestamp":1787013745313,"version":"build-2736575974"},"reference-count":40,"publisher":"Wiley","issue":"10","license":[{"start":{"date-parts":[[2024,10,18]],"date-time":"2024-10-18T00:00:00Z","timestamp":1729209600000},"content-version":"vor","delay-in-days":17,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["82320108010"],"award-info":[{"award-number":["82320108010"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["31821003"],"award-info":[{"award-number":["31821003"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["82271852"],"award-info":[{"award-number":["82271852"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["82271816"],"award-info":[{"award-number":["82271816"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Int J of Rheum Dis"],"published-print":{"date-parts":[[2024,10]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Objective<\/jats:title>\n                    <jats:p>This study aims to comprehensively investigate immune\u2010cell landscapes in ankylosing spondylitis (AS) patients and explore longitudinal immunophenotyping changes induced by biological agents.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>We employed mass cytometry with 35 cellular markers to analyze blood samples from 34 AS patients and 13 healthy controls (HC). Eleven AS patients were re\u2010evaluated 1 month (4 patients) and 3 months (7 patients) after treatment with biological agents. Flow Self\u2010Organizing Maps (FlowSOM) clustering was performed to identify specific cellular metaclusters. We compared cellular abundances across distinct subgroups and validated subset differences using gating strategies in flow cytometry scatter plots, visualized with FlowJo software. The proportions of differential subsets were then used for intercellular and clinical correlation analysis, as well as for constructing diagnostic models based on the random forest algorithm.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>In AS patients, we identified and validated nine different immune\u2010cell subsets compared to HC. Three subsets increased: helper T\u2010cell 17 (Th17), mucosa\u2010associated invariant T\u2010cell (MAIT), and classical monocytes (CM). Six subsets decreased: effector memory T\u2010cell (TEM), na\u00efve B cells, transitional B cells, IL10+ memory B cells, non\u2010classical monocytes (NCM), and neutrophils. Treatments with biological agents could rectify cellular abnormalities, particularly the imbalance of CM\/NCM. Furthermore, these subsets may serve as biomarkers for assessing disease activity and constructing effective diagnostic models for AS.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>These findings provide novel insights into the specific patterns of immune cell in AS, facilitating the further development of novel biomarkers and potential therapeutic targets for AS patients.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1111\/1756-185x.15378","type":"journal-article","created":{"date-parts":[[2024,10,18]],"date-time":"2024-10-18T03:14:30Z","timestamp":1729221270000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Mass cytometry identifies imbalance of multiple immune\u2010cell subsets associated with biologics treatment in ankylosing spondylitis"],"prefix":"10.1111","volume":"27","author":[{"given":"Li","family":"Lin","sequence":"first","affiliation":[{"name":"Department of Rheumatology and Immunology, Shanghai Changzheng Hospital Naval Medical University  Shanghai China"},{"name":"National Key Laboratory for Immunity and Inflammation  Shanghai China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jing","family":"Luo","sequence":"additional","affiliation":[{"name":"School of Medicine Tsinghua University  Beijing China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yue","family":"Cai","sequence":"additional","affiliation":[{"name":"Department of Rheumatology and Immunology, Shanghai Changzheng Hospital Naval Medical University  Shanghai China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xin","family":"Wu","sequence":"additional","affiliation":[{"name":"Department of Rheumatology and Immunology, Shanghai Changzheng Hospital Naval Medical University  Shanghai 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