FB2026_01 , released March 12, 2026
FB2026_01 , released March 12, 2026
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Bajracharya, R., Bustamante, S., O Ballard, J.W. (2019). Stearic Acid Supplementation in High Protein to Carbohydrate ( P:C ) Ratio Diet Improves Physiological and Mitochondrial Functions of Drosophila melanogaster parkin Null Mutants.  J. Gerontol. A Biol. Sci. Med. Sci. 74(10): 1564--1572.
FlyBase ID
FBrf0250595
Publication Type
Research paper
Abstract
Optimizing dietary macronutrients benefits the prevention and management of many human diseases but there is conflicting dietary advice for Parkinson's disease (PD), and no single strategy is universally recommended. Recently, it was shown that dietary stearic acid (C18:0) improves survival and mitochondrial functions in the parkin null Drosophila model of PD. Here, we incorporate stearic acid into high protein and high carbohydrate diets and study survival, climbing ability, mitochondrial membrane potential, respiration, basal reactive oxygen species, and conduct lipidomics assays. We observed that parkin null flies showed improvement in all assays tested when stearic acid was added to the high protein diet but not to the high carbohydrate diet. When lipid proportion was examined, we observed higher levels in flies fed the high protein diet with stearic acid diet and the high carbohydrate diet. Unexpectedly, free levels of fatty acids exhibited opposite trend. Combined, these data suggest that dietary Protein: Carbohydrate ratio and stearic acid influences levels of bound fatty acids. The mechanisms that influence free and bound fatty-acid levels remain to be explored, but one possible explanation is that breakdown products can bind to membranes and improve the mitochondrial functions of parkin null flies.
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Secondary IDs
    Language of Publication
    English
    Additional Languages of Abstract
    Parent Publication
    Publication Type
    Journal
    Abbreviation
    J. Gerontol. A Biol. Sci. Med. Sci.
    Title
    The journals of gerontology. Series A, Biological sciences and medical sciences
    Publication Year
    1994-
    ISBN/ISSN
    1079-5006 1758-535X
    Data From Reference
    Chemicals (1)
    Genes (1)
    Human Disease Models (1)