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Bioavailability of procyanidin dimers and trimers and matrix food effects in in vitro and in vivo models

Open access
Serra, Aida, Macià, Alba, Romero, Maria-Paz, Valls, Josep, Bladé, Cinta, Arola, Lluís, Motilva, Maria-José·2010·British Journal of Nutrition

Abstract

Among procyanidins (PC), monomers, such as catechin and epicatechin, have been widely studied, whereas dimer and trimer oligomers have received much less attention, despite their abundance in our diet. Recent studies have showed that as dimers and trimers could be important in determining the biological effects of procyanidin-rich food, understanding their bioavailability and metabolism is fundamental. The purpose of the present work is to study the stability of PC under digestion conditions, the metabolism and the bioavailability by using a combination of in vitro and in vivo models. Simultaneously, the matrix effect of a carbohydrate-rich food on the digestibility and bioavailability of PC is investigated. The results show a high level of stability of PC under gastric and duodenal digestion conditions. However, the pharmacokinetic study revealed limited absorption. Free forms of dimers and trimers have been detected in rat plasma, reaching the maximum concentration 1 h after oral intake of a grape seed extract.

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Metadata

Authors
Serra, A., Macià, A., Romero, M.-P., Valls, J., Bladé, C., Arola, L., & Motilva, M.-J.
Venue
British Journal of Nutrition
Published
2009-12-14
Volume
103
Issue
7
Pages
944-952
ISSN
  • 0007-1145 (ISSN-L)
  • 1475-2662
OpenAlex
W2009429426
Cited by
276
References
46
FWCI
6.17
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Bioavailability of procyanidin dimers and trimers and matrix food effects in in vitro and in vivo models. https://app.cochat.ai/papers/10.1017/s0007114509992741
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Serra, A., Macià, A., Romero, M.-P., Valls, J., Bladé, C., Arola, L., & Motilva, M.-J. (2010). Bioavailability of procyanidin dimers and trimers and matrix food effects in in vitro and in vivo models. British Journal of Nutrition. https://doi.org/10.1017/s0007114509992741

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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.