Evidence map›Paper›PMID 35563810›Full record

ArticleCells2022

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 and 9 more

Open access · goldAbstract read
In one paragraph

Article in Cells, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
3.7field-weighted citation impact, top 5% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

23 citing papers in PubMed, 32 citations in OpenAlex.

  1. Article
  2. Review
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  6. Decoding Vascular Senescence: Cellular Insights and Therapeutic Strategies.International journal of biological sciences · 2026
    Review
  7. Article
  8. Review
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Impact of microRNAs on cardiovascular diseases and aging.The Journal of international medical research · 2024
    Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

19 authors at 6 institutions in 3 countries.

Giulia AccardiLaboratory of Immunopathology and Immunosenescence, Department of Biomedicine, Neurosciences and Advanced Technologies, University of Palermo, 90134 Palermo, Italy.ORCID 0000-0003-3565-9529
Filippa BonoDepartment of Economics, Business and Statistics, University of Palermo, Viale delle Scienze, Building N. 13, 90128 Palermo, Italy.ORCID 0000-0003-3119-4445
Giuseppe CammarataInstitute for Biomedical Research and Innovation, National Research Council, 90146 Palermo, Italy.
Anna AielloLaboratory of Immunopathology and Immunosenescence, Department of Biomedicine, Neurosciences and Advanced Technologies, University of Palermo, 90134 Palermo, Italy.ORCID 0000-0003-2593-3221
Maria Trinidad HerreroClinical 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.ORCID 0000-0003-4953-1446
Riccardo AlessandroInstitute for Biomedical Research and Innovation, National Research Council, 90146 Palermo, Italy.ORCID 0000-0002-9935-1040
Giuseppa AugelloInstitute for Biomedical Research and Innovation, National Research Council, 90146 Palermo, Italy.
Ciriaco CarruDepartment of Biomedical Sciences, University of Sassari, 07100 Sassari, Italy.ORCID 0000-0002-6985-4907
Paolo ColombaInstitute for Biomedical Research and Innovation, National Research Council, 90146 Palermo, Italy.ORCID 0000-0002-2470-7030
Maria Assunta CostaInstitute of Byophysics, National Research Council, 90146 Palermo, Italy.ORCID 0000-0003-3377-6123
Immaculata De VivoDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA 021382, USA.
Mattia Emanuela LigottiLaboratory of Immunopathology and Immunosenescence, Department of Biomedicine, Neurosciences and Advanced Technologies, University of Palermo, 90134 Palermo, Italy.
Alessia Lo CurtoInstitute for Biomedical Research and Innovation, National Research Council, 90146 Palermo, Italy.
Rosa PassantinoInstitute of Byophysics, National Research Council, 90146 Palermo, Italy.
Simona TavernaInstitute for Biomedical Research and Innovation, National Research Council, 90146 Palermo, Italy.ORCID 0000-0002-2192-8938
Carmela ZizzoInstitute for Biomedical Research and Innovation, National Research Council, 90146 Palermo, Italy.
Giovanni DuroInstitute for Biomedical Research and Innovation, National Research Council, 90146 Palermo, Italy.
Calogero CarusoLaboratory of Immunopathology and Immunosenescence, Department of Biomedicine, Neurosciences and Advanced Technologies, University of Palermo, 90134 Palermo, Italy.ORCID 0000-0001-8004-2363
Giuseppina CandoreLaboratory of Immunopathology and Immunosenescence, Department of Biomedicine, Neurosciences and Advanced Technologies, University of Palermo, 90134 Palermo, Italy.
Institute for Biomedical Research and Innovation · ITUniversity of Palermo · ITNational Research Council · ITHarvard University · USUniversidad de Murcia · ESUniversity of Sassari · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Circulating MicroRNAMicroRNAsAged, 80 and overAgingBiomarkersCentenariansEndothelial CellsHumansMachine LearningBiomarkersCirculating MicroRNAMicroRNAsMIRN126 microRNA, humanMIRN21 microRNA, humanageingendothelial senescenceinflamm-ageinglongevitymiRNAs

Identifiers

PMID35563810
PMCPMC9099697
OpenAlexW4225141092

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.