Flavonoid–flavonoid interaction and its effect on their antioxidant activity
Introduction
Flavonoids are among the most studied phytochemicals found in plant foods and include a large number of different molecules which may result in diverse biological activities. Numerous studies have focused on determining flavonoid antioxidant activity, many of which have used pure compounds, calculating their individual antioxidant power and performing structure–activity relationship studies (Plumb et al., 1998, Rice-Evans et al., 1996). In other studies the antioxidant power of a given food sample, mainly oils (Mateos, Domínguez, Espartero, & Cert, 2003), fruits and vegetables (García-Alonso et al., 2004, Plumb et al., 1996) or tea and wine (Leung et al., 2001, Sánchez-Moreno et al., 1999) has been characterised in depth and, in some cases, the correlation between flavonoid composition and antioxidant power has been examined (Fernández-Pachón, Villano, García-Parrilla, & Troncoso, 2004).
When in 1936 Szent-Györgyi (Rusznyák & Szent-Györgyi, 1936) reported the presence of what he first called “vitamin P” in citrus fruits, he had already hypothesized that flavonoids and vitamin C worked synergistically to strengthen capillaries (Rusznyák & Szent-Györgyi, 1936). Subsequently, some studies showed that biological interactions took place between flavonoids and some vitamins in in vitro and in vivo models. Lotito and Fraga (1998) described the protective effect of catechin against α-tocopherol depletion in plasma. More recently, Kadoma, Ishihara, Okada, and Fujisawa (2006) demonstrated that there was a synergic antioxidant effect between δ-tocopherol and epicatechin and epigallocatechin gallate in an in vitro model. Frank et al. (2006) showed that the inclusion of quercetin, catechin or epicatechin in the diet of rats gave rise to an increase in α-tocopherol concentrations in blood plasma and liver.
Many studies on the antioxidant potential of flavonoids in fruits, vegetables, wine or tea have concluded that it is impossible to predict the antioxidant power of a given product by studying just one type of flavonoid or other kind of antioxidants contained in the product, such as vitamin C or E. In some cases the possible existence of synergic or antagonistic effects between the various antioxidants present in plant foods and derived products has been postulated (García-Alonso et al., 2004, Vinson et al., 2001). However until now very few studies have focused on the assessment of flavonoid–flavonoid interactions in terms of antioxidant activity. Heo, Kim, Chung, and Kim (2007) did not find any synergistic effect between the assayed flavonoids by using the ABTS method and expressing results as a vitamin C equivalent. However, Pinelo, Manzocco, Nuñez, and Nicoli (2004) found an antagonistic effect when phenols interacted at three different temperatures using the DPPH method and several studies showed a synergistic antioxidant effect of flavonoids on free-radical-initiated peroxidation of linoleic acid (Rossetto et al., 2002). An antioxidant effect was observed by Pignatelli et al. (2000) with the flavonoids quercetin and catechin, indicating that these components of red wine act synergistically to inhibit platelet adhesion to collagen and collagen-induced platelet aggregation by virtue of their antioxidant effect.
In general, all results for isolated flavonoids indicate high antioxidant activity. Although the in vitro antioxidant properties for isolated polyphenols have already been well documented (Rivero-Pérez, Muñiz, & González-Sanjosé, 2008), in this paper we will extend this knowledge to include the antioxidant properties produced by the interaction of two flavonoids, in terms of synergistic or antagonistic effects.
To accomplish this objective we have measured flavonoid antioxidant activity and flavonoid–flavonoid interactions by employing the following two methods: scavenging of the stable 2,2-diphenyl-1-picrylhydrazyl (DPPH) radical and ferric reducing antioxidant power (FRAP). In particular, we have compared the antioxidant capacity of a system containing a mixture of two flavonoids with that of each single flavonoid measured individually, in order to better understand the global antioxidant capacity of flavonoid rich products such as red wine or fruit juices. The flavonoids studied were: cyanidin-3-O-glucoside chloride, malvidin-3-O-glucoside chloride, delphinidin-3-O-glucoside chloride, peonidin-3-O-glucoside chloride, pelargonidin-3-glucoside chloride, (+)catechin, (−)epicatechin, kaempferol, myricetin, quercetin and quercetin-3-β-glucoside.
Section snippets
Chemicals
6-Hidroxy-2,5,7,8,-tetramethylchroman-2-carboxylic acid 97%, 2,2-diphenyl-1-picrylhydrazyl radical (DPPH), 2,4,6-tris (2-pyridyl)-s-triazine (TPTZ), iron (III) chloride hexahydrate, acetate buffer saline, myricetin, (+)catechin, (−)epicatechin and quercetin dihydrate were purchased from Sigma–Aldrich Química S.A. (Madrid, Spain). Quercetin-3-β-glucoside and kaempferol 96% from Fluka, Sigma–Aldrich Química S.A. (Madrid, Spain). Cyanidin-3-O-glucoside chloride, pelargonidin-3-O-glucoside
Results and discussion
It has been suggested that flavonoids have several potential health benefits due, in part, to their antioxidant activity, and recently, research on natural antioxidants, including flavonoids, has increased actively in various fields. According to Moon and Shibamoto (2009), in order to study the antioxidant activity of these compounds, it is important to choose an adequate assay based on the chemistry of the compound of interest. Some assays are concerned with electron or radical scavenging,
Conclusion
Based on these observations, we can conclude that the flavonoids present in a mixture can interact, and their interactions can affect the total antioxidant capacity of a solution. It can also be concluded that there are synergistic and antagonistic effects when flavonoids interact that may explain the results obtained when measuring the antioxidant effects of whole food extracts, such as red wine.
In the light of the results shown in this research, the importance of choosing the best combination
Acknowledgments
This work was supported by the Spanish Ministry of Science and Innovation (AGL2006-05453) and the Comunidad Autónoma de Madrid (CCG07-CSIC/AGR-1762). M. Hidalgo wishes to thank CSIC, for a JAE predoctoral fellowship (JAEPre094).
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