{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,9]],"date-time":"2026-10-09T21:46:28Z","timestamp":1791582388727,"version":"4.3.4"},"reference-count":100,"publisher":"MDPI AG","issue":"7","license":[{"start":{"date-parts":[[2020,7,10]],"date-time":"2020-07-10T00:00:00Z","timestamp":1594339200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["JCM"],"abstract":"<jats:p>Due to a global increase in the prevalence of type 2 diabetes mellitus (T2DM), there is an urgent need for early identification of prediabetes, as these people have the highest risk of developing diabetes. Circulating miRNAs have shown potential as progression biomarkers in other diseases. This study aimed to conduct a baseline comparison of serum-circulating miRNAs in prediabetic individuals, with the distinction between those who later progressed to T2DM and those who did not. The expression levels of 798 miRNAs using NanoString technology were examined. Spearman correlation, receiver operating characteristic (ROC) curve analysis, and logistic regression modeling were performed. Gene ontology (GO) and canonical pathway analysis were used to explore the biological functions of the miRNA target genes. The study revealed that three miRNAs were upregulated in the serum samples of patients who later progressed to T2DM. Pathway analysis showed that the miRNA target genes were mainly significantly enriched in neuronal NO synthase (nNOS) signaling in neurons, amyloid processing, and hepatic cholestasis. ROC analysis demonstrated that miR-491-5p, miR-1307-3p, and miR-298 can be introduced as a diagnostic tool for the prediction of T2DM (area under the curve (AUC) = 94.0%, 88.0%, and 84.0%, respectively). Validation by real-time quantitative polymerase chain reaction (qRT-PCR) confirmed our findings. The results suggest that circulating miRNAs can potentially be used as predictive biomarkers of T2DM in prediabetic patients.<\/jats:p>","DOI":"10.3390\/jcm9072184","type":"journal-article","created":{"date-parts":[[2020,7,10]],"date-time":"2020-07-10T09:45:31Z","timestamp":1594374331000},"page":"2184","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":56,"title":["Circulating miRNAs as a Predictive Biomarker of the Progression from Prediabetes to Diabetes: Outcomes of a 5-Year Prospective Observational Study"],"prefix":"10.3390","volume":"9","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0254-3095","authenticated-orcid":false,"given":"Iwona","family":"Sidorkiewicz","sequence":"first","affiliation":[{"name":"Clinical Research Centre, Medical University of Bialystok, 15-276 Bialystok, Poland"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0701-4961","authenticated-orcid":false,"given":"Magdalena","family":"Niemira","sequence":"additional","affiliation":[{"name":"Clinical Research Centre, Medical University of Bialystok, 15-276 Bialystok, Poland"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5721-2571","authenticated-orcid":false,"given":"Katarzyna","family":"Maliszewska","sequence":"additional","affiliation":[{"name":"Department of Endocrinology, Diabetology and Internal Medicine, Medical University of Bialystok, 15-276 Bialystok, Poland"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9932-5176","authenticated-orcid":false,"given":"Anna","family":"Erol","sequence":"additional","affiliation":[{"name":"Clinical Research Centre, Medical University of Bialystok, 15-276 Bialystok, Poland"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Agnieszka","family":"Bielska","sequence":"additional","affiliation":[{"name":"Clinical Research Centre, Medical University of Bialystok, 15-276 Bialystok, Poland"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Anna","family":"Szalkowska","sequence":"additional","affiliation":[{"name":"Clinical Research Centre, Medical University of Bialystok, 15-276 Bialystok, Poland"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8805-0744","authenticated-orcid":false,"given":"Edyta","family":"Adamska-Patruno","sequence":"additional","affiliation":[{"name":"Clinical Research Centre, Medical University of Bialystok, 15-276 Bialystok, Poland"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6201-0605","authenticated-orcid":false,"given":"Lukasz","family":"Szczerbinski","sequence":"additional","affiliation":[{"name":"Clinical Research Centre, Medical University of Bialystok, 15-276 Bialystok, Poland"},{"name":"Department of Endocrinology, Diabetology and Internal Medicine, Medical University of Bialystok, 15-276 Bialystok, Poland"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Maria","family":"Gorska","sequence":"additional","affiliation":[{"name":"Department of Endocrinology, Diabetology and Internal Medicine, Medical University of Bialystok, 15-276 Bialystok, Poland"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4522-4978","authenticated-orcid":false,"given":"Adam","family":"Kretowski","sequence":"additional","affiliation":[{"name":"Clinical Research Centre, Medical University of Bialystok, 15-276 Bialystok, Poland"},{"name":"Department of Endocrinology, Diabetology and Internal Medicine, Medical University of Bialystok, 15-276 Bialystok, Poland"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2020,7,10]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"40","DOI":"10.1016\/j.diabres.2017.03.024","article-title":"IDF Diabetes Atlas: Global estimates for the prevalence of diabetes for 2015 and 2040","volume":"128","author":"Ogurtsova","year":"2017","journal-title":"Diabetes Res. 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