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A Plasma Proteomic Signature of Skeletal Muscle Mitochondrial Function
Marta Zampino1, Toshiko Tanaka1, Ceereena Ubaida-Mohien1
1National Institute on Aging, National Institutes of Health, Baltimore, MD 21224, USA.
International Journal of Molecular Sciences
|December 18, 2020
Summary
Researchers identified a plasma proteomic signature linked to skeletal muscle mitochondrial health. This finding offers a potential accessible biomarker for assessing mitochondrial function in aging and disease.
Area of Science:
- Biochemistry
- Physiology
- Gerontology
Background:
- Mitochondrial dysfunction is linked to aging, reduced physical function, and age-related diseases.
- Current measures of mitochondrial health lack accessibility and affordability.
- A non-invasive biomarker for mitochondrial health is needed.
Purpose of the Study:
- To identify a plasma proteomic signature correlating with skeletal muscle mitochondrial oxidative capacity.
- To establish an accessible measure of mitochondrial health.
Main Methods:
- Analyzed plasma protein concentrations in 165 adults using the SOMAscan assay.
- Assessed skeletal muscle maximal oxidative phosphorylation capacity via phosphorous magnetic resonance spectroscopy (assessed as post-exercise phosphocreatine recovery time constant, τPCr).
- Correlated protein concentrations with τPCr, adjusting for age, sex, and phosphocreatine depletion.
Main Results:
- Identified 87 plasma proteins significantly associated with skeletal muscle oxidative capacity (τPCr).
- Sixty proteins correlated positively with better mitochondrial function, while 27 correlated with poorer function.
- Enriched protein clusters involved in energy metabolism, proteostasis, oxidative stress response, and inflammation.
Conclusions:
- Plasma proteomic profiles can serve as a surrogate marker for skeletal muscle mitochondrial oxidative capacity.
- This discovery paves the way for accessible and affordable assessment of mitochondrial health.
- Further validation in independent cohorts and longitudinal studies is recommended.
Keywords:
SOMAscanaptamersinflammationmitochondriaoxidative capacityphosphorous magnetic resonance spectroscopyplasmaproteomicsskeletal muscle
