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

被引:6
|
作者
Segarra-Queralt, Maria [1 ]
Piella, Gemma [1 ]
Noailly, Jerome [1 ]
机构
[1] Univ Pompeu Fabra, Barcelona MedTech, DTIC, Barcelona, Spain
基金
欧洲研究理事会;
关键词
mechanobiology; mechanotransduction; chondrocyte; network-based model; osteoarthritis; systems biology; AUTOLOGOUS CONDITIONED SERUM; ARTICULAR-CARTILAGE; CYTOSKELETAL ORGANIZATION; BIOSYNTHETIC RESPONSE; MATRIX INTERACTIONS; MECHANOTRANSDUCTION; COMPRESSION; INTEGRIN; DISEASE; STIMULATION;
D O I
10.3389/fbioe.2023.1006066
中图分类号
Q81 [生物工程学(生物技术)]; Q93 [微生物学];
学科分类号
071005 ; 0836 ; 090102 ; 100705 ;
摘要
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-kappa B 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.
引用
收藏
页数:17
相关论文
共 50 条
  • [1] REGULATION NETWORK MODELLING TO SIMULATE CHONDROCYTE ACTIVITY AND MAP RELEVANT INFLAMMATORY MEDIATORS IN OSTEOARTHRITIS
    Segarra-Queralt, Maria
    Neidlin, Michael
    Tio, Laura
    Angel Gonzalez-Ballester, Miguel
    Piella, Gemma
    Noailly, Jerome
    TISSUE ENGINEERING PART A, 2022, 28 : S246 - S246
  • [2] NETWORK-BASED INFERENCE OF IN SITU CHONDROCYTE MECHANO-RESPONSE TO AGE-RELATED MATRIX STIFFENING
    Iijima, Hirotaka
    Ambrosio, Fabrisia
    Matsui, Yusuke
    OSTEOARTHRITIS AND CARTILAGE, 2024, 32 : S422 - S423
  • [3] A Deep Neural Network-Based Method for Early Detection of Osteoarthritis Using Statistical Data
    Lim, Jihye
    Kim, Jungyoon
    Cheon, Songhee
    INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2019, 16 (07)
  • [4] Visibility-based modelling and control for network-based robotics
    Lee, Sang Il
    Cho, Byoung In
    Lee, Jae-Kyu
    Ahn, Seongjin
    Chung, Jin Wook
    PATTERN RECOGNITION LETTERS, 2009, 30 (11) : 968 - 976
  • [5] Ribosomal RNA-based epitranscriptomic regulation of chondrocyte translation and proteome in osteoarthritis
    Chabronova, A.
    van den Akker, G. G. H.
    Housmans, B. A. C.
    Caron, M. M. J.
    Cremers, A.
    Surtel, D. A. M.
    Wichapong, K.
    Peffers, M. M. J.
    van Rhijn, L. W.
    Marchand, V.
    Motorin, Y.
    Welting, T. J. M.
    OSTEOARTHRITIS AND CARTILAGE, 2023, 31 (03) : 374 - 385
  • [6] Neural network-based modelling for forest biomass assessment
    Nandy, Subrata
    Singh, Rajpal
    Ghosh, Surajit
    Watham, Taibanganba
    Kushwaha, Satya Prakash Singh
    Kumar, Arumugam Senthil
    Dadhwal, Vinay Kumar
    CARBON MANAGEMENT, 2017, 8 (04) : 305 - 317
  • [7] Network-based piecewise linear regression for QSAR modelling
    Cardoso-Silva, Jonathan
    Papageorgiou, Lazaros G.
    Tsoka, Sophia
    JOURNAL OF COMPUTER-AIDED MOLECULAR DESIGN, 2019, 33 (09) : 831 - 844
  • [8] Modelling the structure and dynamics of network-based social systems
    Pattison, P. E.
    Robins, G. L.
    19TH INTERNATIONAL CONGRESS ON MODELLING AND SIMULATION (MODSIM2011), 2011, : 38 - 44
  • [9] Network-based approach to modelling uncertainty in a supply chain
    Blackhurst, J
    Wu, T
    O'Grady, P
    INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 2004, 42 (08) : 1639 - 1658
  • [10] Network-based piecewise linear regression for QSAR modelling
    Jonathan Cardoso-Silva
    Lazaros G. Papageorgiou
    Sophia Tsoka
    Journal of Computer-Aided Molecular Design, 2019, 33 : 831 - 844