FB2026_01 , released March 12, 2026
FB2026_01 , released March 12, 2026
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Ayikobua, E.T., Kasolo, J., Kasozi, K.I., Eze, E.D., Safiriyu, A., Ninsiima, H.I., Kiyimba, K., Namulema, J., Jjesero, E., Ssempijja, F., Semuyaba, I., Mwandah, D.C., Kimanje, K.R., Kalange, M., Okpanachi, A.O., Nansunga, M. (2020). Synergistic action of propolis with levodopa in the management of Parkinsonism in Drosophila melanogaster.  J Complement Integr Med 17(3): 20190136.
FlyBase ID
FBrf0246831
Publication Type
Research paper
Abstract
Background The Phosphatase and tensin-induced putative kinase 1 (PINK1B9) mutant for Drosophila melanogaster is a key tool that has been used in assessing the pathology of Parkinsonism and its possible remedy. This research was targeted toward determining the effects of ethanolic extract of propolis, with levodopa therapy in the management of Parkinsonism. Method The PINK1B9 flies were divided into groups and fed with the different treatment doses of ethanoic extract of propolis. The treatment groups were subjected to 21 days of administration of propolis and the levodopa at different doses after which percentage climbing index, antioxidant activity and lifespan studies were done. Results Propolis alone improved motor activity, antioxidant and lifespan in Drosophila melanogaster than in PINK1 flies. Propolis in combination with levodopa significantly (P<0.05) improved physiological parameters at higher than lower concentrations in Parkinsonism Drosophila melanogaster demonstrating its importance in managing side effects associated with levodopa. Conclusion Propolis is a novel candidate as an alternative and integrative medicinal option to use in the management of Parkinsonism in both animals and humans at higher concentrations.
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    Language of Publication
    English
    Additional Languages of Abstract
    Parent Publication
    Publication Type
    Journal
    Abbreviation
    J Complement Integr Med
    Title
    Journal of complementary & integrative medicine
    ISBN/ISSN
    1553-3840 2194-6329
    Data From Reference
    Alleles (1)
    Chemicals (2)
    Genes (1)
    Human Disease Models (1)