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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

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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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9099697/
https://www.ncbi.nlm.nih.gov/pubmed/35563810
http://dx.doi.org/10.3390/cells11091505
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author 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
author_facet 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
author_sort Accardi, Giulia
collection PubMed
description 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.
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spelling pubmed-90996972022-05-14 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 Cells Article 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. MDPI 2022-04-30 /pmc/articles/PMC9099697/ /pubmed/35563810 http://dx.doi.org/10.3390/cells11091505 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
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
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
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
title_full 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
title_fullStr 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
title_full_unstemmed 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
title_short 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
title_sort 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
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9099697/
https://www.ncbi.nlm.nih.gov/pubmed/35563810
http://dx.doi.org/10.3390/cells11091505
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