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miR-126-3p and miR-21-5p as Hallmarks of Bio-Positive Ageing; Correlation Analysis and Machine Learning Prediction in Young to Ultra-Centenarian Sicilian Population

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dc.contributor.author Accardi, Giulia
dc.contributor.author Bono, Filippa
dc.contributor.author Cammarata, Giuseppe
dc.contributor.author Aiello, Anna
dc.contributor.author Trinidad-Herrero, María
dc.contributor.author Alessandro, Riccardo
dc.contributor.author Augello, Giuseppa
dc.contributor.author Carru, Ciriaco
dc.contributor.author Colomba, Paolo
dc.contributor.author Costa, María-Assunta
dc.contributor.author De-Vivo, Immaculata
dc.contributor.author Ligotti, Mattia-Emanuela
dc.contributor.author Lo-Curto, Alessia
dc.contributor.author Passantino, Rosa
dc.contributor.author Taverna, Simona
dc.contributor.author Zizzo, Carmela
dc.contributor.author Duro, Giovanni
dc.contributor.author Caruso, Calogero
dc.contributor.author Candore, Giuseppina
dc.date.accessioned 2025-11-24T12:35:35Z
dc.date.available 2025-11-24T12:35:35Z
dc.date.issued 2022-05
dc.identifier.citation Accardi G, Bono F, Cammarata G, Aiello A, Herrero MT, Alessandro R, et al. miR-126-3p and miR-21-5p as Hallmarks of Bio-Positive Ageing; Correlation Analysis and Machine Learning Prediction in Young to Ultra-Centenarian Sicilian Population. Cells. 30 de abril de 2022;11(9):1505.
dc.identifier.uri https://sms.carm.es/ricsmur/handle/123456789/22261
dc.description.abstract Human ageing can be characterized by a profile of circulating microRNAs (miRNAs), which are potentially predictors of biological age. They can be used as a biomarker of risk for age-related inflammatory outcomes, and senescent endothelial cells (ECs) have emerged as a possible source of circulating miRNAs. In this paper, a panel of four circulating miRNAs including miR-146a-5p, miR-126-3p, miR-21-5p, and miR-181a-5p, involved in several pathways related to inflammation, and ECs senescence that seem to be characteristic of the healthy ageing phenotype. The circulating levels of these miRNAs were determined in 78 healthy subjects aged between 22 to 111 years. Contextually, extracellular miR-146a-5p, miR-126-3p, miR-21-5p, and miR-181a-5p levels were measured in human ECs in vitro model, undergoing senescence. We found that the levels of the four miRNAs, using ex vivo and in vitro models, progressively increase with age, apart from ultra-centenarians that showed levels comparable to those measured in young individuals. Our results contribute to the development of knowledge regarding the identification of miRNAs as biomarkers of successful and unsuccessful ageing. Indeed, they might have diagnostic/prognostic relevance for age-related diseases.
dc.language.iso eng
dc.publisher MDPI
dc.rights Atribución/Reconocimiento-NoComercial-SinDerivados 4.0 Internacional
dc.rights.uri http://creativecommons.org/licenses/by-nc-nd/4.0/es/ *
dc.subject.mesh Aged, 80 and over
dc.subject.mesh Aging/genetics
dc.subject.mesh Biomarkers
dc.subject.mesh Centenarians
dc.subject.mesh Circulating MicroRNA/genetics
dc.subject.mesh Endothelial Cells
dc.subject.mesh Humans
dc.subject.mesh Machine Learning
dc.subject.mesh MicroRNAs/genetics
dc.title miR-126-3p and miR-21-5p as Hallmarks of Bio-Positive Ageing; Correlation Analysis and Machine Learning Prediction in Young to Ultra-Centenarian Sicilian Population
dc.type info:eu-repo/semantics/article
dc.identifier.pmid 35563810
dc.relation.publisherversion https://www.mdpi.com/2073-4409/11/9/1505
dc.identifier.doi 10.3390/cells11091505
dc.journal.title Cells
dc.identifier.essn 2073-4409


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Atribución/Reconocimiento-NoComercial-SinDerivados 4.0 Internacional Excepto si se señala otra cosa, la licencia del ítem se describe como Atribución/Reconocimiento-NoComercial-SinDerivados 4.0 Internacional

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