A set of circulating microRNAs belonging to the 14q32 chromosome locus identifies two subgroups of individuals with recent-onset type 1 diabetes.

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Title: A set of circulating microRNAs belonging to the 14q32 chromosome locus identifies two subgroups of individuals with recent-onset type 1 diabetes.
Authors: Sebastiani G; Diabetes Unit, Department of Medicine, Surgery and Neurosciences, University of Siena, Siena, Italy; Fondazione Umberto Di Mario ONLUS c/o Toscana Life Science, Siena, Italy., Grieco GE; Diabetes Unit, Department of Medicine, Surgery and Neurosciences, University of Siena, Siena, Italy; Fondazione Umberto Di Mario ONLUS c/o Toscana Life Science, Siena, Italy., Bruttini M; Diabetes Unit, Department of Medicine, Surgery and Neurosciences, University of Siena, Siena, Italy; Fondazione Umberto Di Mario ONLUS c/o Toscana Life Science, Siena, Italy; Tuscany Centre for Precision Medicine (CReMeP), Siena, Italy., Auddino S; Diabetes Unit, Department of Medicine, Surgery and Neurosciences, University of Siena, Siena, Italy; Fondazione Umberto Di Mario ONLUS c/o Toscana Life Science, Siena, Italy., Mori A; Diabetes Unit, Department of Medicine, Surgery and Neurosciences, University of Siena, Siena, Italy; Fondazione Umberto Di Mario ONLUS c/o Toscana Life Science, Siena, Italy; Tuscany Centre for Precision Medicine (CReMeP), Siena, Italy., Toniolli M; Diabetes Unit, Department of Medicine, Surgery and Neurosciences, University of Siena, Siena, Italy; Fondazione Umberto Di Mario ONLUS c/o Toscana Life Science, Siena, Italy., Fignani D; Diabetes Unit, Department of Medicine, Surgery and Neurosciences, University of Siena, Siena, Italy; Fondazione Umberto Di Mario ONLUS c/o Toscana Life Science, Siena, Italy., Licata G; Diabetes Unit, Department of Medicine, Surgery and Neurosciences, University of Siena, Siena, Italy; Fondazione Umberto Di Mario ONLUS c/o Toscana Life Science, Siena, Italy., Aiello E; Diabetes Unit, Department of Medicine, Surgery and Neurosciences, University of Siena, Siena, Italy; Fondazione Umberto Di Mario ONLUS c/o Toscana Life Science, Siena, Italy., Nigi L; Diabetes Unit, Department of Medicine, Surgery and Neurosciences, University of Siena, Siena, Italy; Fondazione Umberto Di Mario ONLUS c/o Toscana Life Science, Siena, Italy., Formichi C; Diabetes Unit, Department of Medicine, Surgery and Neurosciences, University of Siena, Siena, Italy; Fondazione Umberto Di Mario ONLUS c/o Toscana Life Science, Siena, Italy., Fernandez-Tajes J; INNODIA iVZW, Leuven, Belgium., Pugliese A; Diabetes Research Institute, Leonard Miller School of Medicine, University of Miami, Miami, FL, USA; Department of Diabetes Immunology, Arthur Riggs Diabetes and Metabolism Research Institute, Beckman Research Institute, City of Hope, Duarte, CA, USA., Evans-Molina C; Center for Diabetes and Metabolic Diseases and the Wells Center for Pediatric Research, Indiana University School of Medicine, Indianapolis, IN, USA., Overbergh L; Katholieke Universiteit Leuven/Universitaire Ziekenhuizen, Leuven, Belgium., Tree T; Department of Immunobiology, School of Immunology and Microbial Sciences, King's College London, London, UK., Peakman M; Immunology & Inflammation Research Therapeutic Area, Sanofi, Boston, MA, USA., Mathieu C; Katholieke Universiteit Leuven/Universitaire Ziekenhuizen, Leuven, Belgium., Dotta F; Diabetes Unit, Department of Medicine, Surgery and Neurosciences, University of Siena, Siena, Italy; Fondazione Umberto Di Mario ONLUS c/o Toscana Life Science, Siena, Italy; Tuscany Centre for Precision Medicine (CReMeP), Siena, Italy. Electronic address: francesco.dotta@unisi.it.
Corporate Authors: INNODIA investigators
Source: Cell reports. Medicine [Cell Rep Med] 2024 Jun 18; Vol. 5 (6), pp. 101591. Date of Electronic Publication: 2024 Jun 04.
Publication Type: Journal Article
Journal Info: Publisher: Cell Press Country of Publication: United States NLM ID: 101766894 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2666-3791 (Electronic) Linking ISSN: 26663791 NLM ISO Abbreviation: Cell Rep Med Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2666-3791
DOI:10.1016/j.xcrm.2024.101591