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Systems biology reveals how altered TGFß signalling with age reduces protection against pro-inflammatory stimuli.
Hodgson, David; Rowan, Andrew D; Falciani, Francesco; Proctor, Carole J.
Afiliación
  • Hodgson D; Institute of Cellular Medicine, Ageing Research Laboratories, Campus for Ageing and Vitality, Newcastle University, Newcastle upon Tyne, United Kingdom.
  • Rowan AD; MRC/Arthritis Research UK Centre for Musculoskeletal Ageing (CIMA), United Kingdom.
  • Falciani F; MRC/Arthritis Research UK Centre for Musculoskeletal Ageing (CIMA), United Kingdom.
  • Proctor CJ; Skeletal Research Group, Institute of Genetic Medicine, Newcastle University, Newcastle upon Tyne, United Kingdom.
PLoS Comput Biol ; 15(1): e1006685, 2019 01.
Article en En | MEDLINE | ID: mdl-30677026
ABSTRACT
Osteoarthritis (OA) is a degenerative condition caused by dysregulation of multiple molecular signalling pathways. Such dysregulation results in damage to cartilage, a smooth and protective tissue that enables low friction articulation of synovial joints. Matrix metalloproteinases (MMPs), especially MMP-13, are key enzymes in the cleavage of type II collagen which is a vital component for cartilage integrity. Transforming growth factor beta (TGFß) can protect against pro-inflammatory cytokine-mediated MMP expression. With age there is a change in the ratio of two TGFß type I receptors (Alk1/Alk5), a shift that results in TGFß losing its protective role in cartilage homeostasis. Instead, TGFß promotes cartilage degradation which correlates with the spontaneous development of OA in murine models. However, the mechanism by which TGFß protects against pro-inflammatory responses and how this changes with age has not been extensively studied. As TGFß signalling is complex, we used systems biology to combine experimental and computational outputs to examine how the system changes with age. Experiments showed that the repressive effect of TGFß on chondrocytes treated with a pro-inflammatory stimulus required Alk5. Computational modelling revealed two independent mechanisms were needed to explain the crosstalk between TGFß and pro-inflammatory signalling pathways. A novel meta-analysis of microarray data from OA patient tissue was used to create a Cytoscape network representative of human OA and revealed the importance of inflammation. Combining the modelled genes with the microarray network provided a global overview into the crosstalk between the different signalling pathways involved in OA development. Our results provide further insights into the mechanisms that cause TGFß signalling to change from a protective to a detrimental pathway in cartilage with ageing. Moreover, such a systems biology approach may enable restoration of the protective role of TGFß as a potential therapy to prevent age-related loss of cartilage and the development of OA.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Envejecimiento / Transducción de Señal / Factor de Crecimiento Transformador beta / Biología de Sistemas Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: PLoS Comput Biol Asunto de la revista: BIOLOGIA / INFORMATICA MEDICA Año: 2019 Tipo del documento: Article País de afiliación: Reino Unido

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Envejecimiento / Transducción de Señal / Factor de Crecimiento Transformador beta / Biología de Sistemas Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: PLoS Comput Biol Asunto de la revista: BIOLOGIA / INFORMATICA MEDICA Año: 2019 Tipo del documento: Article País de afiliación: Reino Unido