Network analysis identifies circulating miR-155 as predictive biomarker of type 2 diabetes mellitus development in obese patients: a pilot study.

Autor: Catanzaro G; Department of Experimental Medicine, Sapienza University of Rome, Policlinico Umberto I, Viale Regina Elena 324, 00161, Rome, Italy., Conte F; Institute for Systems Analysis and Computer Science 'A. Ruberti' (IASI), National Research Council (CNR), 00185, Rome, Italy., Trocchianesi S; Department of Experimental Medicine, Sapienza University of Rome, Policlinico Umberto I, Viale Regina Elena 324, 00161, Rome, Italy., Splendiani E; Department of Experimental Medicine, Sapienza University of Rome, Policlinico Umberto I, Viale Regina Elena 324, 00161, Rome, Italy., Bimonte VM; Department of Movement, Human and Health Sciences, University of Foro Italico, 00135, Rome, Italy., Mocini E; Department of Experimental Medicine, Sapienza University of Rome, Policlinico Umberto I, Viale Regina Elena 324, 00161, Rome, Italy., Filardi T; Department of Experimental Medicine, Sapienza University of Rome, Policlinico Umberto I, Viale Regina Elena 324, 00161, Rome, Italy., Po A; Department of Molecular Medicine, Sapienza University, 00161, Rome, Italy., Besharat ZM; Department of Experimental Medicine, Sapienza University of Rome, Policlinico Umberto I, Viale Regina Elena 324, 00161, Rome, Italy., Gentile MC; Department of Experimental Medicine, Sapienza University of Rome, Policlinico Umberto I, Viale Regina Elena 324, 00161, Rome, Italy., Paci P; Department of Computer, Control and Management Engineering, Sapienza University, 00161, Rome, Italy., Morano S; Department of Experimental Medicine, Sapienza University of Rome, Policlinico Umberto I, Viale Regina Elena 324, 00161, Rome, Italy., Migliaccio S; Department of Movement, Human and Health Sciences, University of Foro Italico, 00135, Rome, Italy. silvia.migliaccio@uniroma4.it., Ferretti E; Department of Experimental Medicine, Sapienza University of Rome, Policlinico Umberto I, Viale Regina Elena 324, 00161, Rome, Italy. elisabetta.ferretti@uniroma1.it.
Jazyk: angličtina
Zdroj: Scientific reports [Sci Rep] 2023 Nov 09; Vol. 13 (1), pp. 19496. Date of Electronic Publication: 2023 Nov 09.
DOI: 10.1038/s41598-023-46516-y
Abstrakt: Obesity is the main risk factor for many non-communicable diseases. In clinical practice, unspecific markers are used for the determination of metabolic alterations and inflammation, without allowing the characterization of subjects at higher risk of complications. Circulating microRNAs represent an attractive approach for early screening to identify subjects affected by obesity more at risk of developing connected pathologies. The aim of this study was the identification of circulating free and extracellular vesicles (EVs)-embedded microRNAs able to identify obese patients at higher risk of type 2 diabetes (DM2). The expression data of circulating microRNAs derived from obese patients (OB), with DM2 (OBDM) and healthy donors were combined with clinical data, through network-based methodology implemented by weighted gene co-expression network analysis. The six circulating microRNAs overexpressed in OBDM patients were evaluated in a second group of patients, confirming the overexpression of miR-155-5p in OBDM patients. Interestingly, the combination of miR-155-5p with serum levels of IL-8, Leptin and RAGE was useful to identify OB patients most at risk of developing DM2. These results suggest that miR-155-5p is a potential circulating biomarker for DM2 and that the combination of this microRNA with other inflammatory markers in OB patients can predict the risk of developing DM2.
(© 2023. The Author(s).)
Databáze: MEDLINE
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