Statistical modelling coupled with LC-MS analysis to predict human upper intestinal absorption of phytochemical mixtures

Selby-Pham, Sophie; Dunshea, Frank R.; Ludbey, Joel; Lutz, Adrian; Bennett, Louise

doi:10.1016/j.foodchem.2017.10.102

Cited by 11 publications

(15 citation statements)

References 31 publications

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“…Yet, the majority of evidence comes from in vitro models and it is unclear if these mechanisms hold true in humans ( 37 – 40 ). Furthermore, recent evidence has elucidated the effect of absorption pharmacokinetics on efficacy of polyphenols as antioxidants and other potentially health-promoting mechanisms; these physiochemical properties of the molecules may explain the variable effects observed in human and animal models, as well as conflicting data in the literature ( 41 – 45 ).…”

Section: Scientific Backgroundmentioning

confidence: 99%

The Role of Polyphenols in Human Health and Food Systems: A Mini-Review

et al. 2018

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This narrative mini- review summarizes current knowledge of the role of polyphenols in health outcomes—and non-communicable diseases specifically—and discusses the implications of this evidence for public health, and for future directions for public health practice, policy, and research. The publications cited originate mainly from animal models and feeding experiments, as well as human cohort and case-control studies. Hypothesized protective effects of polyphenols in acute and chronic diseases, including obesity, neurodegenerative diseases, type 2 diabetes, and cardiovascular diseases, are evaluated. Potential harmful effects of some polyphenols are also considered, counterbalanced with the limited evidence of harm in the research literature. Recent international governmental regulations are discussed, as the safety and health claims of only a few specific polyphenolic compounds have been officially sanctioned. The implications of food processing on the bioavailability of polyphenols are also assessed, in addition to the health claims and marketing of polyphenols as a functional food. Finally, this mini-review asserts the need for increased regulation and guidelines for polyphenol consumption and supplementation in order to ensure consumers remain safe and informed about polyphenols.

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Section: Scientific Backgroundmentioning

confidence: 99%

The Role of Polyphenols in Human Health and Food Systems: A Mini-Review

et al. 2018

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“…Due to the transient presence of phytonutrients in circulation, the timing of intake, relative to the meal that causes the oxidative stress, is likely important for maximising their activity and may explain some of the variability in reported findings [ 17 , 27 , 28 ]. After ingestion, phytonutrients are absorbed into circulation at relatively low concentrations (in the nM to low μM range) and most have half-lives of less than 6 h [ [29] , [30] , [31] , [32] ].…”

Section: Introductionmentioning

confidence: 99%

“…According to this model, passively absorbed phytonutrients that are administered in a solid form (e.g. a solid supplement) exhibit T max , fairly consistently, 1.6–3.7 h after ingestion [ 27 ]. This is different to phytonutrients dispersed in liquid-form, where the range of T max for passive absorption may be up to 12 h after ingestion and varies significantly between different treatments [ 27 ].…”

Section: Introductionmentioning

confidence: 99%

“…a solid supplement) exhibit T max , fairly consistently, 1.6–3.7 h after ingestion [ 27 ]. This is different to phytonutrients dispersed in liquid-form, where the range of T max for passive absorption may be up to 12 h after ingestion and varies significantly between different treatments [ 27 ]. For example, phytonutrients in a tomato extract are predicted to reach their T max 1.6–3.7 h after ingestion when consumed in solid-form, and 0.5–8 h after ingestion when consumed in drink form [ 27 ].…”

Section: Introductionmentioning

confidence: 99%

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Does timing of phytonutrient intake influence the suppression of postprandial oxidative stress? A systematic literature review

et al. 2021

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Background Postprandial oxidative stress markers in blood are generated transiently from various tissues and cells following high-fat and/or high-carbohydrate (HFHC) meals, and may be suppressed by certain phytonutrients, such as polyphenols and carotenoids. However, the transient presence of phytonutrients in circulation suggests that timing of consumption, relative to the meal, could be important. This systematic review investigates the effect of timing of phytonutrient intake on blood markers of postprandial oxidative processes. Method EMBASE, Medline, Scopus and Web of Science were searched up to December 2020. Eligible studies met the criteria: 1) healthy human adults; 2) phytonutrient(s) consumed in solid form within 24 h of a HFHC meal; 3) postprandial measurements of oxidative stress or antioxidants in blood; and 4) controlled study design. Cohen's d effect sizes were calculated to compare studies. Results Nine studies, involving 256 participants, were included. Phytonutrients were consumed either at the same time, 1 h before, or the day (>12 h) before a HFHC meal. Significant decreases in blood markers - plasma lipid hydroperoxides, plasma malondialdehyde, serum sNox2-dp, serum 8-iso-PGF2α, platelet p47 phox phosphorylation, and Keap-1 and p47 phox protein levels in mononuclear cells (MNCs) - were observed where the phytonutrient was consumed together with the challenge meal (n = 4). Lack of any effect on oxidative stress markers was observed where phytonutrients were consumed with (n = 1), 1 h before (n = 1), and the day before (n = 2) the HFHC meal. Conclusion Phytonutrients consumed with a HFHC meal significantly suppressed some markers of oxidative stress in blood. Although there were only a limited number of studies, it appears that suppression appeared effective at the time of peak phytonutrient concentration in plasma. However, further studies are required to confirm the observations and systematically optimise the effect of timing.

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“…11 The in-silico phytochemical absorption prediction (PCAP) model presented in Selby-Pham et al 12 has been applied to predict phytochemical pharmacokinetics of plant extracts to guide recommended intake times for maximal health benefits. 13 This optimisation utilises the concept of 'biomatching' , wherein maximal medicinal efficacy is achieved by aligning plasma concentrations of stress-mediating compounds with periods of associated stressors. 12,14 For example, extracts from Hyptis sp.…”

Section: Introductionmentioning

confidence: 99%

Inhalation Absorption Prediction (IAP) Model for Predicting Medicinal Cannabis Phytochemical Pharmacokinetics

Wise¹,

Gill²,

Selby‐Pham³

2019

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Introduction: The medicinal benefits from inhalation of Cannabis sativa phytochemicals have been extensively reported. Whilst in-silico models are available for prediction of phytochemical pharmacokinetics post-ingestion, no models are available to accurately predict inhalation pharmacokinetics. Therefore, the aim of this study was to explore the relationship between phytochemical physicochemical properties and inhalation pharmacokinetics and to develop an in-silico model for predicting the time of maximal compound concentration in plasma (T max) and compound elimination half-life (T ½), following inhalation. Methods: A training set of compound pharmacokinetic data was collated from previous publications and compared to physicochemical parameters using regression analyses. Physicochemical parameters that correlated with T max and T ½ were combined to develop a statistical model, which constructs functional fingerprints predicting compound concentrations in plasma post inhalation. Predicted functional fingerprints for three cannabis bioactive compounds were constructed and biomatched against previously reported physiological effects. Results: Inhalation T max was predicted (r 2 = 0.84) by compound volume (Vol), topological surface area (TPSA) and molecular weight (MW), whilst T ½ was predicted (r 2 = 0.87) by molecular weight, volume and number of rotatable bonds (nrot). The resulting inhalation absorption prediction (IAP) model was achieved by combining T max and T ½ predictions. The IAP model was applied to cannabis metabolites which accurately predicted decay functions in-vivo and biomatching with associated physiological effects. Conclusion: The IAP model was applied successfully to cannabis phytochemicals to explore the pharmacokinetics underpinning their medicinal effects. This study demonstrates the utility of the IAP model and highlights its applicability during the investigation of medicinal plants and their modes of action.

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Statistical modelling coupled with LC-MS analysis to predict human upper intestinal absorption of phytochemical mixtures

Cited by 11 publications

References 31 publications

The Role of Polyphenols in Human Health and Food Systems: A Mini-Review

The Role of Polyphenols in Human Health and Food Systems: A Mini-Review

Does timing of phytonutrient intake influence the suppression of postprandial oxidative stress? A systematic literature review

Inhalation Absorption Prediction (IAP) Model for Predicting Medicinal Cannabis Phytochemical Pharmacokinetics

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