{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,28]],"date-time":"2026-09-28T13:57:17Z","timestamp":1790603837766,"version":"4.1.0"},"reference-count":29,"publisher":"Wiley","license":[{"start":{"date-parts":[[2026,9,28]],"date-time":"2026-09-28T00:00:00Z","timestamp":1790553600000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"},{"start":{"date-parts":[[2026,9,28]],"date-time":"2026-09-28T00:00:00Z","timestamp":1790553600000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["J of Diabetes Invest"],"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Aims<\/jats:title>\n                    <jats:p>This study evaluated the clinical utility of circulating miR\u2010342\u20103p for diagnosing gestational diabetes mellitus (GDM) and predicting adverse perinatal outcomes (APOs).<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>\n                      A retrospective cohort of 261 GDM women (the GDM group) and 261 propensity score\u2010matched healthy controls (the Normal group) was analyzed. Circulating miR\u2010342\u20103p levels were quantified by RT\u2010qPCR, and diagnostic and predictive performances were assessed using receiver operating characteristic curves. Correlations with fasting plasma glucose (FPG), 2\u2010h postprandial glucose (2hPG), and Homeostasis Model Assessment of Insulin Resistance (HOMA\u2010IR) were evaluated by\n                      <jats:italic>Spearman<\/jats:italic>\n                      's analysis. Logistic regression was used to analyze the independent association between circulating miR\u2010342\u20103p expression and APOs.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      Circulating miR\u2010342\u20103p was significantly elevated in GDM patients versus controls and demonstrated early diagnostic potential for GDM (AUC\u2009=\u20090.835). In GDM patients, miR\u2010342\u20103p levels showed moderate positive correlations with FPG, 2hPG, and HOMA\u2010IR (\n                      <jats:italic>r<\/jats:italic>\n                      \u2009=\u20090.780, 0.578, 0.613). miR\u2010342\u20103p levels were elevated in both the GDM\u2010APOs and the Normal\u2010APOs groups compared with their respective non\u2010APO subgroups. Circulating miR\u2010342\u20103p yielded AUCs of 0.697 and 0.599 for predicting APOs in the GDM and Normal groups, respectively. After adjusting for pre\u2010pregnancy BMI, parity, FPG, and 2hPG, the\n                      <jats:italic>OR<\/jats:italic>\n                      s for APOs per unit increase in miR\u2010342\u20103p were 1.338 in the GDM group and 2.284 in the Normal group.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>Circulating miR\u2010342\u20103p may serve as a valuable adjunctive biomarker for early GDM screening. Across both GDM and non\u2010GDM populations, circulating miR\u2010342\u20103p is significantly associated with APOs, suggesting cross\u2010population applicability, though GDM status may modulate the strength of this association.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1111\/jdi.70437","type":"journal-article","created":{"date-parts":[[2026,9,28]],"date-time":"2026-09-28T13:16:13Z","timestamp":1790601373000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Circulating\n                    <scp>miR<\/scp>\n                    \u2010342\u20103p as a biomarker for diagnosing gestational diabetes mellitus and predicting adverse perinatal outcomes: A\u00a0retrospective cohort study"],"prefix":"10.1111","author":[{"given":"Kangjun","family":"Yu","sequence":"first","affiliation":[{"name":"Department of Obstetrics and Gynecology Bozhou People's Hospital  Bozhou City Anhui Province 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