Dysfunctions caused by genetic defects in the mitochondrial DNA (mtDNA) of humans are called mitochondrial diseases; however, mtDNA mutations are also associated with aging and age-related diseases. Here, we present an original cellular model that allows gathering information on molecules that might contrast or prevent mitochondrial dysfunctions and their related diseases. This model allowed us to show that resveratrol (RSV), a phytochemical present in food, exerts protective effects at low concentrations on resting human fibroblasts carrying dysfunctional respiratory chain Complex I. Cells were maintained both in resting condition, to mimic the high energy demanding post-mitotic tissues (serum absence and gramicidin presence), and under glucose deficiency to push the synthesis of ATP via oxidative phosphorylation. Pre-incubation with RSV prolonged the viability of the fibroblasts exposed to rotenone, a well-known specific inhibitor of the respiratory chain Complex I, and decreased mitochondrial fragmentation. It significantly prevented the oxidative phosphorylation impairment indirectly caused by the rotenone-mediated Complex I inhibition, allowing for an almost complete preservation of the cellular ATP level. Indeed, RSV limited the rotenone-induced reactive oxygen species increase, allowing for the maintenance of a functional mitochondrial membrane potential. These findings indicate the potential usage of resveratrol to prevent or possibly treat many disorders, in which the bioenergetic defects and oxidative stress are the primary (mitochondrial encephalomyopathy), or the secondary (age-related diseases) causes of the pathology; and to also assist cell senescence during aging.
Resveratrol preserves mitochondrial function in a human post-mitotic cell model.
G. Sgarbi,F. Liuzzi,A. Baracca,G. Solaini
Published 2018 in Journal of Nutritional Biochemistry
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- Publication year
2018
- Venue
Journal of Nutritional Biochemistry
- Publication date
2018-12-01
- Fields of study
Biology, Medicine, Chemistry
- Identifiers
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- Source metadata
Semantic Scholar, PubMed
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