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
Giulia Accardi,
Filippa Bono,
Giuseppe Cammarata,
Anna Aiello,
Maria Trinidad Herrero,
Riccardo Alessandro,
Giuseppa Augello,
Ciriaco Carru,
Paolo Colomba,
Maria Assunta Costa,
Immaculata De Vivo,
Mattia Emanuela Ligotti,
Alessia Lo Curto,
Rosa Passantino,
Simona Taverna,
Carmela Zizzo,
Giovanni Duro,
Calogero Caruso,
Giuseppina Candore
Affiliations
Giulia Accardi
Laboratory of Immunopathology and Immunosenescence, Department of Biomedicine, Neurosciences and Advanced Technologies, University of Palermo, 90134 Palermo, Italy
Filippa Bono
Department of Economics, Business and Statistics, University of Palermo, Viale delle Scienze, Building N. 13, 90128 Palermo, Italy
Giuseppe Cammarata
Institute for Biomedical Research and Innovation, National Research Council, 90146 Palermo, Italy
Anna Aiello
Laboratory of Immunopathology and Immunosenescence, Department of Biomedicine, Neurosciences and Advanced Technologies, University of Palermo, 90134 Palermo, Italy
Maria Trinidad Herrero
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
Riccardo Alessandro
Institute for Biomedical Research and Innovation, National Research Council, 90146 Palermo, Italy
Giuseppa Augello
Institute for Biomedical Research and Innovation, National Research Council, 90146 Palermo, Italy
Ciriaco Carru
Department of Biomedical Sciences, University of Sassari, 07100 Sassari, Italy
Paolo Colomba
Institute for Biomedical Research and Innovation, National Research Council, 90146 Palermo, Italy
Maria Assunta Costa
Institute of Byophysics, National Research Council, 90146 Palermo, Italy
Immaculata De Vivo
Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA 021382, USA
Mattia Emanuela Ligotti
Laboratory of Immunopathology and Immunosenescence, Department of Biomedicine, Neurosciences and Advanced Technologies, University of Palermo, 90134 Palermo, Italy
Alessia Lo Curto
Institute for Biomedical Research and Innovation, National Research Council, 90146 Palermo, Italy
Rosa Passantino
Institute of Byophysics, National Research Council, 90146 Palermo, Italy
Simona Taverna
Institute for Biomedical Research and Innovation, National Research Council, 90146 Palermo, Italy
Carmela Zizzo
Institute for Biomedical Research and Innovation, National Research Council, 90146 Palermo, Italy
Giovanni Duro
Institute for Biomedical Research and Innovation, National Research Council, 90146 Palermo, Italy
Calogero Caruso
Laboratory of Immunopathology and Immunosenescence, Department of Biomedicine, Neurosciences and Advanced Technologies, University of Palermo, 90134 Palermo, Italy
Giuseppina Candore
Laboratory of Immunopathology and Immunosenescence, Department of Biomedicine, Neurosciences and Advanced Technologies, University of Palermo, 90134 Palermo, Italy
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.