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Published on: April 6, 2022
Osteoporosis induced by cellular senescence: A mathematical model
Nourridine Siewe1, Avner Friedman2
1School of Mathematics and Statistics, College of Science, Rochester Institute of Technology, Rochester, New York, United States of America.
Cellular senescence contributes to osteoporosis, a bone density loss disease. Mathematical models show senolytic drugs like fisetin can reduce bone loss, especially when combined with hormone therapy.
Area of Science:
- Gerontology
- Biomedical Engineering
- Cell Biology
Background:
- Osteoporosis is characterized by bone mass loss, increasing fracture risk, particularly after age 50.
- Cellular senescence, a state of permanent cell cycle arrest, increases with age and is implicated in aging-related diseases.
- The link between increased senescent cells and age-related bone density loss in osteoporosis warrants investigation.
Purpose of the Study:
- To mathematically model the contribution of cellular senescence to bone density loss in osteoporosis.
- To simulate bone loss in men and women aged 50-100.
- To assess the efficacy of senolytic drugs in mitigating osteoporosis-related bone loss.
Main Methods:
- Development and application of a mathematical model to simulate bone density changes.
- Inclusion of the rate of net senescent cell formation (η) as a key parameter.
- Simulation of treatment scenarios involving senolytic drugs (fisetin, quercetin) and estrogen hormonal therapy.
Main Results:
- Model simulations at η = 1 align with empirical data on bone loss.
- Senescent cells significantly contribute to bone density loss, with the rate of formation (η) being a critical factor.
- Early treatment with fisetin, combined with estrogen therapy, can reduce bone density loss below the osteoporosis threshold (e.g., 23.4% by age 75 for women).
Conclusions:
- Cellular senescence is a significant driver of age-related bone loss and osteoporosis.
- Senolytic therapies, such as fisetin, show promise in preventing or reducing osteoporosis.
- Mathematical modeling provides a valuable tool for understanding disease progression and evaluating therapeutic interventions.
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