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Modelling the role of redox-related mechanisms in musculoskeletal ageing

Alvaro Martinez Guimera1, Daryl P Shanley1, Carole J Proctor2

  • 1Institute for Cell and Molecular Biosciences, Newcastle University, Campus for Ageing and Vitality, Newcastle upon Tyne NE4 5PL, UK.

Free Radical Biology & Medicine
|September 17, 2018
PubMed

Insights

Ageing causes musculoskeletal decline through cellular damage and disrupted redox signaling. Computational modeling aids understanding and prediction of these complex biological processes.

Area of Science:

  • Biogerontology
  • Computational Biology
  • Musculoskeletal Health

Background:

  • Cellular damage accumulates with age, impacting the musculoskeletal system.
  • Redox signaling pathways regulate cellular repair but are disrupted by oxidative stress during aging.
  • Increased oxidative stress in aging contributes to chronic inflammation and impaired cellular function.

Purpose of the Study:

  • To review computational models of redox-related mechanisms in musculoskeletal aging.
  • To explore the potential of computational modeling in understanding age-related musculoskeletal decline.
  • To provide a background on biological systems and computational modeling approaches.

Main Methods:

  • Literature review of computational models relevant to musculoskeletal aging and redox signaling.
  • Analysis of existing models focusing on cellular damage, repair pathways, and oxidative stress.
  • Synthesis of information on the application of computational modeling in gerontology.

Main Results:

  • Computational modeling offers a powerful approach to dissect the complexity of aging musculoskeletal systems.
  • Existing models highlight the role of redox signaling disruptions in age-related cellular damage.
  • Modeling can generate testable predictions for interventions targeting musculoskeletal aging.

Conclusions:

  • Computational modeling is crucial for advancing our understanding of musculoskeletal aging.
  • Further development of redox-focused computational models can elucidate aging mechanisms.
  • This field holds significant potential for future research and therapeutic strategies.
Keywords:
Computational modellingMusculoskeletal ageingOxidative stressRedox signalling

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