Physicochemical properties of dietary phytochemicals can predict their passive absorption in the human small intestine

Abstract A diet high in phytochemical-rich plant foods is associated with reducing the risk of chronic diseases such as cardiovascular and neurodegenerative diseases, obesity, diabetes and cancer. Oxidative stress and inflammation (OSI) is the common component underlying these chronic diseases. Whil...

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Autores principales:	Sophie N. B. Selby-Pham, Rosalind B. Miller, Kate Howell, Frank Dunshea, Louise E. Bennett
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2017
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/f963c2ffd49e449da1291e90b9904a56
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spelling	oai:doaj.org-article:f963c2ffd49e449da1291e90b9904a562021-12-02T12:32:56ZPhysicochemical properties of dietary phytochemicals can predict their passive absorption in the human small intestine10.1038/s41598-017-01888-w2045-2322https://doaj.org/article/f963c2ffd49e449da1291e90b9904a562017-05-01T00:00:00Zhttps://doi.org/10.1038/s41598-017-01888-whttps://doaj.org/toc/2045-2322Abstract A diet high in phytochemical-rich plant foods is associated with reducing the risk of chronic diseases such as cardiovascular and neurodegenerative diseases, obesity, diabetes and cancer. Oxidative stress and inflammation (OSI) is the common component underlying these chronic diseases. Whilst the positive health effects of phytochemicals and their metabolites have been demonstrated to regulate OSI, the timing and absorption for best effect is not well understood. We developed a model to predict the time to achieve maximal plasma concentration (Tmax) of phytochemicals in fruits and vegetables. We used a training dataset containing 67 dietary phytochemicals from 31 clinical studies to develop the model and validated the model using three independent datasets comprising a total of 108 dietary phytochemicals and 98 pharmaceutical compounds. The developed model based on dietary intake forms and the physicochemical properties lipophilicity and molecular mass accurately predicts Tmax of dietary phytochemicals and pharmaceutical compounds over a broad range of chemical classes. This is the first direct model to predict Tmax of dietary phytochemicals in the human body. The model informs the clinical dosing frequency for optimising uptake and sustained presence of dietary phytochemicals in circulation, to maximise their bio-efficacy for positively affect human health and managing OSI in chronic diseases.Sophie N. B. Selby-PhamRosalind B. MillerKate HowellFrank DunsheaLouise E. BennettNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 7, Iss 1, Pp 1-15 (2017)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Sophie N. B. Selby-Pham Rosalind B. Miller Kate Howell Frank Dunshea Louise E. Bennett Physicochemical properties of dietary phytochemicals can predict their passive absorption in the human small intestine
description	Abstract A diet high in phytochemical-rich plant foods is associated with reducing the risk of chronic diseases such as cardiovascular and neurodegenerative diseases, obesity, diabetes and cancer. Oxidative stress and inflammation (OSI) is the common component underlying these chronic diseases. Whilst the positive health effects of phytochemicals and their metabolites have been demonstrated to regulate OSI, the timing and absorption for best effect is not well understood. We developed a model to predict the time to achieve maximal plasma concentration (Tmax) of phytochemicals in fruits and vegetables. We used a training dataset containing 67 dietary phytochemicals from 31 clinical studies to develop the model and validated the model using three independent datasets comprising a total of 108 dietary phytochemicals and 98 pharmaceutical compounds. The developed model based on dietary intake forms and the physicochemical properties lipophilicity and molecular mass accurately predicts Tmax of dietary phytochemicals and pharmaceutical compounds over a broad range of chemical classes. This is the first direct model to predict Tmax of dietary phytochemicals in the human body. The model informs the clinical dosing frequency for optimising uptake and sustained presence of dietary phytochemicals in circulation, to maximise their bio-efficacy for positively affect human health and managing OSI in chronic diseases.
format	article
author	Sophie N. B. Selby-Pham Rosalind B. Miller Kate Howell Frank Dunshea Louise E. Bennett
author_facet	Sophie N. B. Selby-Pham Rosalind B. Miller Kate Howell Frank Dunshea Louise E. Bennett
author_sort	Sophie N. B. Selby-Pham
title	Physicochemical properties of dietary phytochemicals can predict their passive absorption in the human small intestine
title_short	Physicochemical properties of dietary phytochemicals can predict their passive absorption in the human small intestine
title_full	Physicochemical properties of dietary phytochemicals can predict their passive absorption in the human small intestine
title_fullStr	Physicochemical properties of dietary phytochemicals can predict their passive absorption in the human small intestine
title_full_unstemmed	Physicochemical properties of dietary phytochemicals can predict their passive absorption in the human small intestine
title_sort	physicochemical properties of dietary phytochemicals can predict their passive absorption in the human small intestine
publisher	Nature Portfolio
publishDate	2017
url	https://doaj.org/article/f963c2ffd49e449da1291e90b9904a56
work_keys_str_mv	AT sophienbselbypham physicochemicalpropertiesofdietaryphytochemicalscanpredicttheirpassiveabsorptioninthehumansmallintestine AT rosalindbmiller physicochemicalpropertiesofdietaryphytochemicalscanpredicttheirpassiveabsorptioninthehumansmallintestine AT katehowell physicochemicalpropertiesofdietaryphytochemicalscanpredicttheirpassiveabsorptioninthehumansmallintestine AT frankdunshea physicochemicalpropertiesofdietaryphytochemicalscanpredicttheirpassiveabsorptioninthehumansmallintestine AT louiseebennett physicochemicalpropertiesofdietaryphytochemicalscanpredicttheirpassiveabsorptioninthehumansmallintestine
_version_	1718393956024188928

Physicochemical properties of dietary phytochemicals can predict their passive absorption in the human small intestine

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