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

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

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...

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Bibliographic Details
Main Authors: 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
Format: Article
Language:English
Published: MDPI AG 2022-04-01
Series:Cells
Subjects:
ageing
inflamm-ageing
endothelial senescence
longevity
miRNAs
Online Access:https://www.mdpi.com/2073-4409/11/9/1505

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https://www.mdpi.com/2073-4409/11/9/1505

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