{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,25]],"date-time":"2026-09-25T02:10:19Z","timestamp":1790302219334,"version":"4.1.0"},"reference-count":37,"publisher":"Wiley","issue":"11","license":[{"start":{"date-parts":[[2022,10,3]],"date-time":"2022-10-03T00:00:00Z","timestamp":1664755200000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"funder":[{"DOI":"10.13039\/501100012166","name":"National Key Research and Development Program of China","doi-asserted-by":"publisher","award":["2021YFE0200600"],"award-info":[{"award-number":["2021YFE0200600"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["81771733"],"award-info":[{"award-number":["81771733"]}],"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":["81771737"],"award-info":[{"award-number":["81771737"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["acrjournals.onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Arthritis &amp; Rheumatology"],"published-print":{"date-parts":[[2022,11]]},"abstract":"<jats:sec>\n                    <jats:title>Objective<\/jats:title>\n                    <jats:p>Amyopathic dermatomyositis (ADM) is a heterogeneous and life\u2010threatening autoimmune disease with a high mortality rate. In particular, anti\u2013melanoma differentiation\u2013associated protein 5 antibody\u2013positive patients are at a high risk of developing rapidly progressive interstitial lung disease (RPILD). This study was undertaken to identify immunologic signatures among patients who have ADM with ILD (ADM\u2010ILD) and to discover the biomarkers predicting prognosis.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>The landscape of 42 immune cell phenotypes in the peripheral blood of 82 ADM\u2010ILD patients and 82 age\u2010 and sex\u2010matched healthy donors was assessed by multicolor flow cytometry. Patients were stratified using an unsupervised machine learning method (hierarchical clustering analysis) by immune cell subsets. Multiple Wilcoxon's signed rank tests and supervised machine learning methods were performed to identify important immune cell subsets. Kaplan\u2010Meier survival analysis with log rank tests was used to create survival curves.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      We identified 2 distinct clusters correlating with different disease activities and clinical outcomes in ADM\u2010ILD. Cluster 1 was enriched in the activated CD45RA+HLA\u2013DR+CD8+ T cells with decreased CD56\n                      <jats:sup>dim<\/jats:sup>\n                      natural killer cell proportions and showed a higher prevalence of RPILD and higher mortality. In contrast, the other subgroup, cluster 2 (the nonactivated T cell\u2013dominant cluster), displayed favorable clinical outcomes with high survival rates. Our data also revealed that immunophenotype was an independent risk factor associated with 1\u2010year survival.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>Peripheral immunologic features may have the potential to stratify patients with ADM\u2010ILD according to different disease severity and clinical outcomes, which may have implications for outcome prediction, pathogenesis study, and therapy selection.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1002\/art.42264","type":"journal-article","created":{"date-parts":[[2022,6,17]],"date-time":"2022-06-17T12:31:13Z","timestamp":1655469073000},"page":"1822-1832","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":30,"title":["Two Distinct Immune Cell Signatures Predict the Clinical Outcomes in Patients With Amyopathic Dermatomyositis With Interstitial Lung Disease"],"prefix":"10.1002","volume":"74","author":[{"given":"Yan","family":"Ye","sequence":"first","affiliation":[{"name":"Department of Rheumatology, Renji Hospital Shanghai Jiaotong University School of Medicine  Shanghai China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xueliang","family":"Zhang","sequence":"additional","affiliation":[{"name":"Department of Rheumatology, Renji Hospital Shanghai Jiaotong University School of Medicine  Shanghai China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Teng","family":"Li","sequence":"additional","affiliation":[{"name":"The Center for Microbes, Development and Health, Key Laboratory of Molecular Virology &amp; 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