Mitochondrial Bioenergetics and Healthy Aging

The importance of mitochondria in essential biological functions cannot be understated. The Molina Lab focuses on understanding how mitochondrial function is related to aging and the development of age-related diseases.

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Blood-Based Biomarkers of Aging

Reliable biomarkers of human biological aging have not yet been established. We are proposing that bioenergetic profiles of blood cells are related to multiple age-related diseases and disorders. Further, we are investigating blood-borne circulating factor(s) that may be responsible for mediating changes in systemic bioenergetic capacity.

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Bioenergetics and Cognitive Decline

There is increasing evidence suggesting that mitochondrial dysfunction plays an important role in the pathogenesis of Alzheimer’s Disease (AD) and dementia. We are interested in identifying multi-parameter bioenergetic signatures that are associated with presymptomatic stages of AD and are predictive of AD progression.

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Aging and Physical Function

A central goal of our research is to understand the mechanisms underlying the decline of physical function with aging and age-related conditions, such as heart failure and obesity. We are investigating the relationship between bioenergetic decline due to alterations in mitochondrial quality control and age-related exercise intolerance.


Selected Recent Publications

June 2023: Serum factors mediate changes in mitochondrial bioenergetics associated with diet and exercise interventions. Link

May 2023: Skeletal Muscle Mitochondrial Respiration and Exercise Intolerance in Patients With Heart Failure With Preserved Ejection Fraction. Link

July 2022: Blood-Based Bioenergetic Profiling Reveals Differences in Mitochondrial Function Associated with Cognitive Performance and Alzheimer’s Disease. Link

April 2022: Platelet bioenergetics are associated with resting metabolic rate and exercise capacity in older adult women. Link

February 2022: Human studies of mitochondrial biology demonstrate an overall lack of binary sex differences: A multivariate meta-analysis. Link