Hostname: page-component-586b7cd67f-l7hp2 Total loading time: 0 Render date: 2024-11-24T16:22:45.639Z Has data issue: false hasContentIssue false

Investigating the bioavailability of anthocyanin metabolites

Published online by Cambridge University Press:  19 October 2012

R. de Ferrars
Affiliation:
Department of Nutrition, Norwich Medical School, University of East Anglia, Norwich NR4 7TJ
A. Cassidy
Affiliation:
Department of Nutrition, Norwich Medical School, University of East Anglia, Norwich NR4 7TJ
P. Curtis
Affiliation:
Department of Nutrition, Norwich Medical School, University of East Anglia, Norwich NR4 7TJ
C. Czank
Affiliation:
Department of Nutrition, Norwich Medical School, University of East Anglia, Norwich NR4 7TJ
Q. Zhang
Affiliation:
School of Chemistry, University of St Andrews, KY1 69AJ, UK
K. Kalowole
Affiliation:
School of Chemistry, University of St Andrews, KY1 69AJ, UK
N. Botting
Affiliation:
School of Chemistry, University of St Andrews, KY1 69AJ, UK
C. D. Kay
Affiliation:
Department of Nutrition, Norwich Medical School, University of East Anglia, Norwich NR4 7TJ
Rights & Permissions [Opens in a new window]

Abstract

Type
Abstract
Copyright
Copyright © The Authors 2012

Anthocyanins (ACN) are a sub-class of flavonoids, found within many red berries and vegetables and have been linked to a decrease in cardiovascular disease (CVD) risk factors( Reference Cassidy, O'Reilly and Kay 1 ). However, bioavailability studies have consistently reported extremely low recoveries (<0.1% of administered dose) within biological fluids. ACN rapidly degrade into their phenolic acid and aldehyde constituents at neutral pH2) and may be further metabolised, forming many possible methyl, glucuronide, sulfate and glutathione conjugates. This work focuses on identifying these unknown ACN metabolites.

Previously published solid phase extraction (SPE) methods( Reference Woodward, Kroon and Cassidy 2 ) were optimised to obtain high extraction efficiencies for an extensive range (n=51) of putative metabolites in urine (84.4%±19.4) and serum (84.5%±15.9) samples. High performance liquid chromatography (HPLC-UVvis) and mass spectrometry (MS) conditions were also optimised.

Clinical samples from a 12-week anthocyanin intervention where 52 postmenopausal females were fed 500 mg/day elderberry extract( Reference Curtis, Kroon and Hollands 3 ) were analysed for the presence of anthocyanin metabolites. To date, we have identified nine metabolites (Fig. 1). In addition, post bolus samples indicate an increased excretion of a number of currently unidentified metabolites relative to baseline values (data not shown), which are the focus of future investigation.

Figure 1: Excretion of anthocyanin metabolites in urine 0–12 h post bolus (n=8).

The development of these analytical methods has allowed the identification of previously unknown ACN metabolites. These results indicate that ACN degrade and are further extensively metabolised in vivo. The origin of these metabolites will be confirmed through the analysis of samples derived from a recent 13C5-labelled cyanidin-glucoside feeding study (500 mg bolus; n=8). Identifying the metabolic fate of ACN is a vital step towards fully understanding their bioactive properties. Further work into bioactivity of these metabolites may ultimately result in the development of refined dietary recommendations for the prevention of CVD.

References

1. Cassidy, A, O'Reilly, ÉJ, Kay, C et al. (2011) Am J Clin Nutr 93, 338–47.CrossRefGoogle Scholar
2. Woodward, G, Kroon, P, Cassidy, A et al. (2009) J Agr Food Chem 57, 5271–8.CrossRefGoogle Scholar
3. Curtis, PJ, Kroon, PA, Hollands, WJ, et al. (2009) J Nutr 139, 2266–71.CrossRefGoogle Scholar
Figure 0

Figure 1: Excretion of anthocyanin metabolites in urine 0–12 h post bolus (n=8).