Your browser doesn't support javascript.
loading
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.
Accardi, Giulia; Bono, Filippa; Cammarata, Giuseppe; Aiello, Anna; Herrero, Maria Trinidad; Alessandro, Riccardo; Augello, Giuseppa; Carru, Ciriaco; Colomba, Paolo; Costa, Maria Assunta; De Vivo, Immaculata; Ligotti, Mattia Emanuela; Lo Curto, Alessia; Passantino, Rosa; Taverna, Simona; Zizzo, Carmela; Duro, Giovanni; Caruso, Calogero; Candore, Giuseppina.
Afiliação
  • Accardi G; Laboratory of Immunopathology and Immunosenescence, Department of Biomedicine, Neurosciences and Advanced Technologies, University of Palermo, 90134 Palermo, Italy.
  • Bono F; Department of Economics, Business and Statistics, University of Palermo, Viale delle Scienze, Building N. 13, 90128 Palermo, Italy.
  • Cammarata G; Institute for Biomedical Research and Innovation, National Research Council, 90146 Palermo, Italy.
  • Aiello A; Institute of Translational Pharmacology, National Research Council, 90146 Palermo, Italy.
  • Herrero MT; Laboratory of Immunopathology and Immunosenescence, Department of Biomedicine, Neurosciences and Advanced Technologies, University of Palermo, 90134 Palermo, Italy.
  • Alessandro R; Clinical and Experimental Neuroscience, Institute for Aging Research, Biomedical Institute for Bio-Health Research of Murcia, School of Medicine, University of Murcia, Campus Mare Nostrum, 30100 Murcia, Spain.
  • Augello G; Institute for Biomedical Research and Innovation, National Research Council, 90146 Palermo, Italy.
  • Carru C; Section of Biology and Genetics, Department of Biomedicine, Neuroscience and Advanced Diagnostics, University of Palermo, 90127 Palermo, Italy.
  • Colomba P; Institute for Biomedical Research and Innovation, National Research Council, 90146 Palermo, Italy.
  • Costa MA; Department of Biomedical Sciences, University of Sassari, 07100 Sassari, Italy.
  • De Vivo I; Institute for Biomedical Research and Innovation, National Research Council, 90146 Palermo, Italy.
  • Ligotti ME; Institute of Byophysics, National Research Council, 90146 Palermo, Italy.
  • Lo Curto A; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA 021382, USA.
  • Passantino R; Laboratory of Immunopathology and Immunosenescence, Department of Biomedicine, Neurosciences and Advanced Technologies, University of Palermo, 90134 Palermo, Italy.
  • Taverna S; Institute for Biomedical Research and Innovation, National Research Council, 90146 Palermo, Italy.
  • Zizzo C; Institute for Biomedical Research and Innovation, National Research Council, 90146 Palermo, Italy.
  • Duro G; Institute of Byophysics, National Research Council, 90146 Palermo, Italy.
  • Caruso C; Institute for Biomedical Research and Innovation, National Research Council, 90146 Palermo, Italy.
  • Candore G; Institute of Translational Pharmacology, National Research Council, 90146 Palermo, Italy.
Cells ; 11(9)2022 04 30.
Article em En | MEDLINE | ID: mdl-35563810
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.
Assuntos
Palavras-chave

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: MicroRNAs / MicroRNA Circulante Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Aged80 / Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: MicroRNAs / MicroRNA Circulante Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Aged80 / Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article