Cargando…

Network-based modelling of mechano-inflammatory chondrocyte regulation in early osteoarthritis

Osteoarthritis (OA) is a debilitating joint disease characterized by articular cartilage degradation, inflammation and pain. An extensive range of in vivo and in vitro studies evidences that mechanical loads induce changes in chondrocyte gene expression, through a process known as mechanotransductio...

Descripción completa

Detalles Bibliográficos
Autores principales: Segarra-Queralt, Maria, Piella, Gemma, Noailly, Jérôme
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9936426/
https://www.ncbi.nlm.nih.gov/pubmed/36815875
http://dx.doi.org/10.3389/fbioe.2023.1006066
_version_ 1784890227425280000
author Segarra-Queralt, Maria
Piella, Gemma
Noailly, Jérôme
author_facet Segarra-Queralt, Maria
Piella, Gemma
Noailly, Jérôme
author_sort Segarra-Queralt, Maria
collection PubMed
description Osteoarthritis (OA) is a debilitating joint disease characterized by articular cartilage degradation, inflammation and pain. An extensive range of in vivo and in vitro studies evidences that mechanical loads induce changes in chondrocyte gene expression, through a process known as mechanotransduction. It involves cascades of complex molecular interactions that convert physical signals into cellular response(s) that favor either chondroprotection or cartilage destruction. Systematic representations of those interactions can positively inform early strategies for OA management, and dynamic modelling allows semi-quantitative representations of the steady states of complex biological system according to imposed initial conditions. Yet, mechanotransduction is rarely integrated. Hence, a novel mechano-sensitive network-based model is proposed, in the form of a continuous dynamical system: an interactome of a set of 118 nodes, i.e., mechano-sensitive cellular receptors, second messengers, transcription factors and proteins, related among each other through a specific topology of 358 directed edges is developed. Results show that under physio-osmotic initial conditions, an anabolic state is reached, whereas initial perturbations caused by pro-inflammatory and injurious mechanical loads leads to a catabolic profile of node expression. More specifically, healthy chondrocyte markers (Sox9 and CITED2) are fully expressed under physio-osmotic conditions, and reduced under inflammation, or injurious loadings. In contrast, NF-κB and Runx(2), characteristic of an osteoarthritic chondrocyte, become activated under inflammation or excessive loading regimes. A literature-based evaluation shows that the model can replicate 94% of the experiments tested. Sensitivity analysis based on a factorial design of a treatment shows that inflammation has the strongest influence on chondrocyte metabolism, along with a significant deleterious effect of static compressive loads. At the same time, anti-inflammatory therapies appear as the most promising ones, though the restoration of structural protein production seems to remain a major challenge even in beneficial mechanical environments. The newly developed mechano-sensitive network model for chondrocyte activity reveals a unique potential to reflect load-induced chondroprotection or articular cartilage degradation in different mechano-chemical-environments.
format Online
Article
Text
id pubmed-9936426
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher Frontiers Media S.A.
record_format MEDLINE/PubMed
spelling pubmed-99364262023-02-18 Network-based modelling of mechano-inflammatory chondrocyte regulation in early osteoarthritis Segarra-Queralt, Maria Piella, Gemma Noailly, Jérôme Front Bioeng Biotechnol Bioengineering and Biotechnology Osteoarthritis (OA) is a debilitating joint disease characterized by articular cartilage degradation, inflammation and pain. An extensive range of in vivo and in vitro studies evidences that mechanical loads induce changes in chondrocyte gene expression, through a process known as mechanotransduction. It involves cascades of complex molecular interactions that convert physical signals into cellular response(s) that favor either chondroprotection or cartilage destruction. Systematic representations of those interactions can positively inform early strategies for OA management, and dynamic modelling allows semi-quantitative representations of the steady states of complex biological system according to imposed initial conditions. Yet, mechanotransduction is rarely integrated. Hence, a novel mechano-sensitive network-based model is proposed, in the form of a continuous dynamical system: an interactome of a set of 118 nodes, i.e., mechano-sensitive cellular receptors, second messengers, transcription factors and proteins, related among each other through a specific topology of 358 directed edges is developed. Results show that under physio-osmotic initial conditions, an anabolic state is reached, whereas initial perturbations caused by pro-inflammatory and injurious mechanical loads leads to a catabolic profile of node expression. More specifically, healthy chondrocyte markers (Sox9 and CITED2) are fully expressed under physio-osmotic conditions, and reduced under inflammation, or injurious loadings. In contrast, NF-κB and Runx(2), characteristic of an osteoarthritic chondrocyte, become activated under inflammation or excessive loading regimes. A literature-based evaluation shows that the model can replicate 94% of the experiments tested. Sensitivity analysis based on a factorial design of a treatment shows that inflammation has the strongest influence on chondrocyte metabolism, along with a significant deleterious effect of static compressive loads. At the same time, anti-inflammatory therapies appear as the most promising ones, though the restoration of structural protein production seems to remain a major challenge even in beneficial mechanical environments. The newly developed mechano-sensitive network model for chondrocyte activity reveals a unique potential to reflect load-induced chondroprotection or articular cartilage degradation in different mechano-chemical-environments. Frontiers Media S.A. 2023-02-03 /pmc/articles/PMC9936426/ /pubmed/36815875 http://dx.doi.org/10.3389/fbioe.2023.1006066 Text en Copyright © 2023 Segarra-Queralt, Piella and Noailly. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Bioengineering and Biotechnology
Segarra-Queralt, Maria
Piella, Gemma
Noailly, Jérôme
Network-based modelling of mechano-inflammatory chondrocyte regulation in early osteoarthritis
title Network-based modelling of mechano-inflammatory chondrocyte regulation in early osteoarthritis
title_full Network-based modelling of mechano-inflammatory chondrocyte regulation in early osteoarthritis
title_fullStr Network-based modelling of mechano-inflammatory chondrocyte regulation in early osteoarthritis
title_full_unstemmed Network-based modelling of mechano-inflammatory chondrocyte regulation in early osteoarthritis
title_short Network-based modelling of mechano-inflammatory chondrocyte regulation in early osteoarthritis
title_sort network-based modelling of mechano-inflammatory chondrocyte regulation in early osteoarthritis
topic Bioengineering and Biotechnology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9936426/
https://www.ncbi.nlm.nih.gov/pubmed/36815875
http://dx.doi.org/10.3389/fbioe.2023.1006066
work_keys_str_mv AT segarraqueraltmaria networkbasedmodellingofmechanoinflammatorychondrocyteregulationinearlyosteoarthritis
AT piellagemma networkbasedmodellingofmechanoinflammatorychondrocyteregulationinearlyosteoarthritis
AT noaillyjerome networkbasedmodellingofmechanoinflammatorychondrocyteregulationinearlyosteoarthritis