Segarra-Queralt Maria, Piella Gemma, Noailly Jérôme
Barcelona MedTech, DTIC, Universitat Pompeu Fabra, Barcelona, Spain.
Front Bioeng Biotechnol. 2023 Feb 3;11:1006066. doi: 10.3389/fbioe.2023.1006066. eCollection 2023.
Osteoarthritis (OA) is a debilitating joint disease characterized by articular cartilage degradation, inflammation and pain. An extensive range of and 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-B and Runx, 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.
骨关节炎(OA)是一种使人衰弱的关节疾病,其特征在于关节软骨退化、炎症和疼痛。广泛的研究表明,机械负荷通过一种称为机械转导的过程诱导软骨细胞基因表达发生变化。它涉及一系列复杂的分子相互作用,这些相互作用将物理信号转化为有利于软骨保护或软骨破坏的细胞反应。这些相互作用的系统表示可以为OA管理的早期策略提供积极的信息,动态建模允许根据施加的初始条件对复杂生物系统的稳态进行半定量表示。然而,机械转导很少被整合。因此,提出了一种基于机械敏感网络的新型模型,其形式为连续动态系统:开发了一组118个节点的相互作用组,即机械敏感细胞受体、第二信使、转录因子和蛋白质,它们通过358条有向边的特定拓扑相互关联。结果表明,在生理渗透初始条件下,达到合成代谢状态,而由促炎和有害机械负荷引起的初始扰动导致节点表达的分解代谢特征。更具体地说,健康软骨细胞标记物(Sox9和CITED2)在生理渗透条件下完全表达,在炎症或有害负荷下减少。相比之下,骨关节炎软骨细胞特有的NF-κB和Runx在炎症或过度负荷状态下被激活。基于文献的评估表明,该模型可以复制94%的测试实验。基于治疗因子设计的敏感性分析表明,炎症对软骨细胞代谢的影响最强,同时静态压缩负荷具有显著的有害作用。与此同时,抗炎疗法似乎是最有前途的疗法,尽管即使在有利的机械环境中,结构蛋白产生的恢复似乎仍然是一个重大挑战。新开发的软骨细胞活性机械敏感网络模型显示出独特的潜力,可反映不同机械化学环境中负荷诱导的软骨保护或关节软骨退化。