Undergraduate Thesis Or Project
 

Discovery of Bioactive Minor Cannabinoids in Hemp Extract and Investigating Therapeutic Effects

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https://ir.library.oregonstate.edu/concern/undergraduate_thesis_or_projects/5d86p758z

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  • Drug discovery, especially for naturally derived compounds, is laborious due to the considerable amount of identification needed on hundreds of candidates. Previous research utilized machine learning techniques, ElasticNet and Random Forests, to rapidly identify individual compounds from a hops extract that showcased anti-inflammatory properties. We designed a similar study that utilized the same methods to determine anti-inflammatory compounds in hemp by-products. We fractionated the hemp by-product, Mother Liquor, by column chromatography to generate 65 fractions and then identified their compounds using mass spectrometry and LC-MS/MS. We found twenty-two prominent minor cannabinoids in the crude Mother Liquor, and three major regions of high-intensity compounds were spread across all fractions. Fraction 37 held the highest intensity readings across all fractions for fifteen of the twenty-two prominent minor cannabinoids. We performed a macrophage-based bioassay to measure the inhibition of iNOS-mediated formation of nitric oxide to determine anti-inflammatory properties. Preliminary results of the bioassay indicate a correlation between the high-intensity regions and anti-inflammatory properties. The eventual goal of this study is to generate data to perform a similar machine-learning approach and generate a model that can accurately predict bioactive minor cannabinoids.
  • Keywords: inflammation; mass spectrometry; column chromatography; fractionation; bioassay; Griess assay; Cannabis sativa; minor cannabinoids; xanthohumol
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  • This research was funded by the Global Hemp Innovation Center, OSU— grant number R0813Q, which is supported by a Non-Assistance Cooperative Agreement (NACA) with the USDA Agricultural Research Service.
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