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首页> 外文期刊>International journal of food properties >Development of intestinal bioavailability prediction (IBP) and phytochemical relative antioxidant potential prediction (PRAPP) models for optimizing functional food value of Cannabis sativa (hemp)
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Development of intestinal bioavailability prediction (IBP) and phytochemical relative antioxidant potential prediction (PRAPP) models for optimizing functional food value of Cannabis sativa (hemp)

机译:肠道生物利用度预测(IBP)和植物化学相对抗氧化潜在预测(PRAPP)模型优化Cannabis Sativa(HEMP)的功能食品价值

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摘要

Oxidative stress and inflammation (OSI) occurs naturally during many biological processes including digestion, metabolism, and exercise. While small, transient amounts of OSI are considered normal, unregulated, or chronic OSI can damage the vascular-circulatory system, which can result in chronic illnesses such as cardiovascular disease (CVD), atherosclerosis, and cancer. Antioxidant phytochemicals have the capacity to mitigate OSI through radical scavenging activity or the induction of endogenous mechanisms, but to achieve optimal reductions in OSI, the timing of antioxidant effects must occur during the onset of OSI – a concept known as ‘bio-matching.’ Additionally, the bioavailability and antioxidant capacity of active phytochemicals should be accounted for during pharmacokinetic assessments to guide bio-matching. Herein two quantitative structure–activity relationship (QSAR) predictive models are presented: the intestinal absorption prediction (IBP) model for predicting compound bioavailability (r~(2)?=?0.93), and the phytochemical relative antioxidant potential prediction (PRAPP) model for predicting antioxidant capacity (r~(2)?=?0.89). Application of these models to a characterized hemp meal phytochemical profile, along with established models for predicting T_(max) and T_(?), generated a composite antioxidant fingerprint, which predicted a peak in antioxidant activity 36?min after ingestion in liquid form. Accordingly, hemp meal-based protein powders (a common exercise supplement) should be consumed 26?min prior to completion of exercise to achieve bio-matching with the onset of exercise-induced OSI 10?min after exercise. The IBP and PRAPP models presented herein could be useful tools in understanding phytochemical complex antioxidant pharmacodynamics and in optimizing the consumption of hemp meal and other functional foods to achieve bio-matching of composite antioxidant activity with OSI profiles.
机译:在许多生物过程中,氧化应激和炎症(OSI)在包括消化,代谢和运动的许多生物学过程中发生。虽然小,但瞬时量的OSI被认为是正常的,不受管制的或慢性OSI可以损伤血管循环系统,这可能导致心血管疾病(CVD),动脉粥样硬化和癌症等慢性疾病。抗氧化剂植物化学物质具有通过激进的清除活性减轻OSI的能力或内源性机制的诱导,但是为了在OSI中实现最佳的减少,在OSI的发作期间必须发生抗氧化效果的时间 - 一种称为“生物匹配”的概念。此外,在药代动力学评估期间,应算解活性植物的生物利用度和抗氧化能力,以指导生物匹配。这里提出了两种定量结构 - 活性关系(QSAR)预测模型:预测化合物生物利用度的肠道吸收预测(IBP)模型(R〜(2)?= 0.93),以及植物化学相对抗氧化潜在预测(PRAPP)模型用于预测抗氧化能力(R〜(2)?= 0.89)。将这些模型应用于特征的HEMP膳食植物化学型材,以及用于预测T_(MAX)和T_(α)的建立模型,产生复合抗氧化剂指纹,其预测在液体形式中摄取后抗氧化活性36≤min的峰值。因此,在完成运动之前应在锻炼之前26次膳食的蛋白质粉末(常见的运动补充),以在运动后与运动诱导的OSI 10?MIN开始达到生物匹配。本文呈现的IBP和PRAPP模型可以是了解植物化学复合抗氧化药学性能以及优化HEMP膳食和其他功能食品的消耗,以实现与OSI型材的复合抗氧化活性的生物匹配。

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