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Obtaining Specimens with Slowed, Accelerated and Reversed Aging in the Honey Bee Model
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Turning back the clock.
1Pediatric Endocrinology and Diabetes, Vanderbilt University Medical Center, Nashville, TN 37212, USA.
Science Translational Medicine
|May 19, 2017
Summary
DNA breaks in aging muscles activate the DNA-activated protein kinase (DNA-PK) pathway. Inhibiting this pathway in mice enhanced mitochondrial density, physical fitness, and insulin sensitivity, suggesting a therapeutic target for age-related decline.
Area of Science:
- Gerontology
- Molecular Biology
- Muscle Physiology
Background:
- Aging skeletal muscle is characterized by increased DNA damage.
- DNA damage response pathways, such as DNA-activated protein kinase (DNA-PK), are activated in aging tissues.
- Accumulated DNA damage contributes to age-related functional decline and metabolic dysfunction.
Purpose of the Study:
- To investigate the role of the DNA-PK pathway in age-related skeletal muscle dysfunction.
- To determine if inhibiting the DNA-PK pathway can ameliorate aging phenotypes in skeletal muscle.
Main Methods:
- Utilized a mouse model of aging.
- Assessed DNA breaks and DNA-PK pathway activation in skeletal muscle.
- Administered a DNA-PK inhibitor to aged mice.
- Evaluated mitochondrial density, physical fitness (e.g., endurance), body weight, and insulin resistance.
Main Results:
- Increased DNA breaks and DNA-PK pathway activation were observed in aging skeletal muscle.
- Inhibition of the DNA-PK pathway in aged mice led to significant improvements in mitochondrial density.
- Blocking DNA-PK also enhanced physical fitness and improved body weight regulation.
- Insulin resistance was notably reduced in mice treated with the DNA-PK inhibitor.
Conclusions:
- The DNA-PK pathway is a key mediator of age-related skeletal muscle decline.
- Targeting the DNA-PK pathway represents a promising therapeutic strategy to combat aging phenotypes.
- Interventions aimed at DNA repair pathways may restore muscle function and metabolic health in aging populations.
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