<?xml version="1.0" encoding="UTF-8"?><?xml-stylesheet type="text/xsl" href="static/style.xsl"?><OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd"><responseDate>2026-06-14T12:13:37Z</responseDate><request verb="GetRecord" identifier="oai:repisalud.isciii.es:20.500.12105/6535" metadataPrefix="marc">https://repisalud.isciii.es/rest/oai/request</request><GetRecord><record><header><identifier>oai:repisalud.isciii.es:20.500.12105/6535</identifier><datestamp>2024-09-27T07:58:28Z</datestamp><setSpec>com_20.500.12105_19604</setSpec><setSpec>com_20.500.12105_2051</setSpec><setSpec>col_20.500.12105_19605</setSpec></header><metadata><record xmlns="http://www.loc.gov/MARC21/slim" xmlns:dcterms="http://purl.org/dc/terms/" xmlns:doc="http://www.lyncode.com/xoai" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.loc.gov/MARC21/slim http://www.loc.gov/standards/marcxml/schema/MARC21slim.xsd">
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      <subfield code="a">Jimenez-Lucena, Rosa</subfield>
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      <subfield code="a">Alberto Rangel-Zuniga, Oriol</subfield>
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      <subfield code="a">Alcala-Diaz, Juan Francisco</subfield>
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      <subfield code="a">Lopez-Moreno, Javier</subfield>
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      <subfield code="a">Roncero-Ramos, Irene</subfield>
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      <subfield code="a">Molina-Abril, Helena</subfield>
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      <subfield code="a">Maria Yubero-Serrano, Elena</subfield>
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      <subfield code="a">Caballero-Villarraso, Javier</subfield>
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      <subfield code="a">Delgado-Lista, Javier</subfield>
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      <subfield code="a">Pastor Castano, Justo</subfield>
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      <subfield code="a">Ordovas, Jose M</subfield>
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      <subfield code="a">Perez-Martinez, Pablo</subfield>
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      <subfield code="a">Camargo, Antonio</subfield>
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      <subfield code="a">Lopez-Miranda, Jose</subfield>
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      <subfield code="a">Circulating microRNAs (miRNAs) have been proposed as type 2 diabetes biomarkers, and they may be a more sensitive way to predict development of the disease than the currently used tools. Our aim was to identify whether circulating miRNAs, added to clinical and biochemical markers, yielded better potential for predicting type 2 diabetes. The study included 462 non-diabetic patients at baseline in the CORDIOPREV study. After a median follow-up of 60 months, 107 of them developed type 2 diabetes. Plasma levels of 24 miRNAs were measured at baseline by qRT-PCR, and other strong biomarkers to predict diabetes were determined. The ROC analysis identified 9 miRNAs, which, added to HbA1c, have a greater predictive value in early diagnosis of type 2 diabetes (AUC = 0.8342) than HbA1c alone (AUC = 0.6950). The miRNA and HbA1c-based model did not improve when the FINDRISC was included (AUC = 0.8293). Cox regression analyses showed that patients with low miR-103, miR-28-3p, miR-29a, and miR-9 and high miR-30a-5p and miR-150 circulating levels have a higher risk of disease (HR = 11.27; 95\% CI = 2.61-48.65). Our results suggest that circulating miRNAs could potentially be used as a new tool for predicting the development of type 2 diabetes in clinical practice.</subfield>
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      <subfield code="a">Mol Ther Nucleic Acids. 2018; 12:146-157</subfield>
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      <subfield code="a">10.1016/j.omtn.2018.05.002</subfield>
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      <subfield code="a">Molecular Therapy - Nucleic Acids</subfield>
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      <subfield code="a">30195754</subfield>
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      <subfield code="a">http://hdl.handle.net/20.500.12105/6535</subfield>
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      <subfield code="a">PANCREATIC BETA-CELLS</subfield>
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      <subfield code="a">INSULIN-RESISTANCE</subfield>
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      <subfield code="a">Circulating miRNAs as Predictive Biomarkers of Type 2 Diabetes Mellitus Development in Coronary HeartDisease Patients from the CORDIOPREV Study</subfield>
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