{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,26]],"date-time":"2026-09-26T15:13:22Z","timestamp":1790435602213,"version":"4.1.0"},"reference-count":36,"publisher":"SAGE Publications","issue":"1","license":[{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Thyroid\u00ae"],"published-print":{"date-parts":[[2018,1]]},"abstract":"<jats:sec>\n                    <jats:title>Background:<\/jats:title>\n                    <jats:p>There are currently no reliable biomarkers to predict relapse in Graves' disease (GD). In the present study, we investigated novel diagnostic biomarkers to predict the long-term remission of or relapse in GD.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods:<\/jats:title>\n                    <jats:p>\n                      A DNA microarray analysis was performed to examine gene expression in the peripheral leukocytes of a frequently relapsing patient with GD and a patient in long-term remission after the discontinuation of antithyroid drugs (ATDs). Based on the DNA microarray analysis, we focused on Sialic acid-binding immunoglobulin-like lectin1 (\n                      <jats:italic toggle=\"yes\">SIGLEC1<\/jats:italic>\n                      ) as a candidate novel biomarker to predict GD relapse. Three hundred and fifty-eight patients with GD in the thyroid clinics of four different hospitals in Japan were included in a cross-sectional study to establish whether\n                      <jats:italic toggle=\"yes\">SIGLEC1<\/jats:italic>\n                      mRNA levels distinguish GD relapse experience from long-term remission. An additional 55 patients with GD were enrolled in a prospective study to clarify whether\n                      <jats:italic toggle=\"yes\">SIGLEC1<\/jats:italic>\n                      mRNA levels at ATD discontinuation predict GD relapse.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results:<\/jats:title>\n                    <jats:p>\n                      <jats:italic toggle=\"yes\">SIGLEC1<\/jats:italic>\n                      mRNA levels were significantly higher in patients with GD relapse experience than in those in long-term remission. Based on the receiver operating characteristic analysis, we found that high\n                      <jats:italic toggle=\"yes\">SIGLEC1<\/jats:italic>\n                      mRNA levels (\u2265258.9 copies) significantly distinguished GD relapse experience from long-term remission (\n                      <jats:italic toggle=\"yes\">p<\/jats:italic>\n                      \u2009&lt;\u20090.0001; sensitivity 66.7%, specificity 70.1%). In the prospective study, when the optimal cutoff value from the receiver operating characteristic curve analysis was applied to\n                      <jats:italic toggle=\"yes\">SIGLEC1<\/jats:italic>\n                      mRNA positivity at ATD discontinuation, SIGLEC1-positive patients (\u2265258.9 copies) showed a significantly higher cumulative risk of relapse than SIGLEC1-negative patients (&lt;258.9 copies) (\n                      <jats:italic toggle=\"yes\">p<\/jats:italic>\n                      \u2009=\u20090.022, the log-rank test).\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions:<\/jats:title>\n                    <jats:p>\n                      <jats:italic toggle=\"yes\">SIGLEC1<\/jats:italic>\n                      mRNA levels have potential as a novel predictive biomarker for GD relapse.\n                    <\/jats:p>\n                  <\/jats:sec>","DOI":"10.1089\/thy.2017.0244","type":"journal-article","created":{"date-parts":[[2017,10,17]],"date-time":"2017-10-17T04:19:38Z","timestamp":1508213978000},"page":"50-59","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":11,"title":["Sialic Acid-Binding Immunoglobulin-Like Lectin1 as a Novel Predictive Biomarker for Relapse in Graves' Disease: A Multicenter Study"],"prefix":"10.1177","volume":"28","author":[{"given":"Koshi","family":"Hashimoto","sequence":"first","affiliation":[{"name":"Department of Preemptive Medicine and Metabolism, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University, Tokyo, Japan."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Eijun","family":"Nishihara","sequence":"additional","affiliation":[{"name":"Kuma Hospital, Kobe, 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