Cell senescence: basic mechanisms and the need for computational networks in vascular ageing.


Journal

Cardiovascular research
ISSN: 1755-3245
Titre abrégé: Cardiovasc Res
Pays: England
ID NLM: 0077427

Informations de publication

Date de publication:
07 07 2021
Historique:
received: 01 06 2020
revised: 26 08 2020
accepted: 28 10 2020
pubmed: 19 11 2020
medline: 8 2 2022
entrez: 18 11 2020
Statut: ppublish

Résumé

This review seeks to provide an update of the mechanisms of vascular cell senescence, from newly identified molecules to arterial ageing phenotypes, and finally to present a computational approach to connect these selected proteins in biological networks. We will discuss current key signalling and gene expression pathways by which these focus proteins and networks drive normal and accelerated vascular ageing. We also review the possibility that senolytic drugs, designed to restore normal cell differentiation and function, could effectively treat multiple age-related vascular diseases. Finally, we discuss how cell senescence is both a cause and a consequence of vascular ageing because of the possible feedback controls between identified networks.

Identifiants

pubmed: 33206947
pii: 5952674
doi: 10.1093/cvr/cvaa318
doi:

Substances chimiques

Cell Cycle Proteins 0

Types de publication

Journal Article Research Support, Non-U.S. Gov't Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

1841-1858

Subventions

Organisme : Region Grand-Est
Organisme : Fonds Européen de Développement Regional
Organisme : Federation Française de Cardiologie

Informations de copyright

Published on behalf of the European Society of Cardiology. All rights reserved. © The Author(s) 2020. For permissions, please email: journals.permissions@oup.com.

Auteurs

Véronique Regnault (V)

Université de Lorraine, INSERM, DCAC, 9 avenue de la forêt de Haye, CS 50184, 54000 Nancy, France.

Pascal Challande (P)

Sorbonne Université, CNRS, Institut Jean Le Rond d'Alembert, 4 place Jussieu, 75005 Paris, France.

Florence Pinet (F)

Univ. Lille, CHU Lille, Inserm, Institut Pasteur de Lille, U1167-RID-AGE-Facteurs de risque et déterminants moléculaires des maladies liées au vieillissement, F-59000 Lille, France.

Zhenlin Li (Z)

Sorbonne Université, CNRS, INSERM, IBPS, Biological Adaptation and Aging, Paris, France.

Patrick Lacolley (P)

Université de Lorraine, INSERM, DCAC, 9 avenue de la forêt de Haye, CS 50184, 54000 Nancy, France.

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Classifications MeSH