2022 年 28 巻 1 号 p. 13-33
Polyphenols are commonly present in natural plants and serve as health benefiting food compounds. The health benefits and the metabolites of polyphenols have not yet been fully investigated because of lack of information about their bioavailability. This review was based on the previously reported literature focusing on the absorption and tissue accumulation of polyphenols. Furthermore, the physiological roles and the influx/efflux route(s) of non-absorbable polyphenols in the intestinal membrane were discussed.
Polyphenols are commonly present as secondary metabolic phytochemicals that naturally occur in plant components, including herbs, fruits, and vegetables. Although they were initially known to be natural pigments in plants, their predominant function is to protect the plant against environmental stresses, including light oxidation, pathogens, and predators (Bravo, 1998). Polyphenols are made of two or more benzene rings, each having at least one hydroxyl group. More than 8 000 polyphenols have been identified (Tsao, 2010) and are commonly present in human plant-based foods consumed daily worldwide (Bravo, 1998; Scalbert and Williamson, 2000).
The scientific interests in polyphenols appear to be because of their physiological potentials in maintaining human health or homeostasis, because the “French paradox”, a reduced incidence of cardiovascular disease (CVD), is associated with healthy “Mediterranean diet” characterized by low consumption of butter and high consumption of vegetables, fruits, cheese, and red wine (or wine polyphenols, like resveratrol) (Renaud and de Lorgeril, 1992; Catalgol et al., 2012). Moreover, epidemiological studies have shown the beneficial effects of polyphenols on human health (Medina-Remon et al., 2017; Tresserra-Rimbau et al., 2014). Clinical trials showed that an increased intake of dietary flavonoids, particularly flavanones, was associated with a significant decrease in postprandial lipid response (triglycerides and cholesterol) in the circulating bloodstream (Vetrani et al., 2018). A clinical report by Vabeiryureilai and Lalrinzuali (2015) indicated the protective effect of polyphenols against vessel dysfunction by a daily intake of hesperidin (500 mg/day) for 3 weeks, in which an increase in nitrogen monoxide (NO) production and a decrease in circulating inflammatory biomarkers was observed. Moreover, it is well established that polyphenols (in particular, flavonoids) exhibit beneficial effects against the development of chronic degenerative diseases, such as diabetes, hypertension, and lipidemia in human studies (Table 1). For every bioactive compound listed in Table 1, the efficiency of its physiological functions must be determined by the bioavailability of polyphenols (Scalbert and Williamson, 2000; Wang, et al., 2017), but the understanding of their fate after intake is still insufficient and needs to be further investigated. Furthermore, while the functions of absorbed substances primarily depend on their bioavailability, their metabolism during absorption process is also crucial for the compound's physiological activity (Williamson et al., 2018). Indeed, the number and specific positions of the hydroxyl groups on the flavanones' aromatic rings have a great influence on their physiological effects (Barreca et al., 2017). However, further inquiries regarding the metabolites of polyphenols as well as their bioavailability are needed. Although mono-phenolic acids, such as chlorogenic acid and ferulic acid, are out of the category of polyphenols, we will also discuss their bioavailability because of common naturally occurring phenols.
Family | Class | Compound | Health benefit | Reference |
---|---|---|---|---|
Flavonoids | ||||
Flavonols | Quercetin | Anti-hypertensive | Zahedi et al., 2013 | |
Cardio protective | Egert et al., 2009 | |||
Flavanones | Naringenin | Anti-hypertensive | Habauzit et al., 2015 | |
Hesperidin | Anti-hypertensive | Morand et al., 2011 | ||
Anti-inflammatory | Homayouni et al., 2018 | |||
Naringin | Anti-hypertensive Lipid-lowering |
Reshef et al., 2005 Toth et al., 2016 |
||
Lipid & cholesterol-lowering | Jung et al., 2003 | |||
Isoflavones | Genistein | Cholesterol-lowering | Lazarevic et al., 2011 | |
Catechins | Green tea extract | Anti-hypertensive Anti-hyperlipidemia |
Islam, 2012 | |
Others | Resveratrol | Anti-diabetes | Brasnyó et al., 2011 | |
Anti-inflammatory | Espinoza et al., 2017 | |||
Curcumin | Anti-inflammatory | Ganjali et al., 2014 | ||
Lipid-lowering | Yang et al., 2014 | |||
Anti-diabetes | Chuengsamarn et al., 2012 |
Intestinal transport routes of polyphenols. Nutrients are incorporated into our body system mainly by crossing the intestinal membrane. Except for minerals and hydrophobic compounds (vitamin E, drugs, etc.) transported via the passive paracellular or transcellular (epithelial tight junction, TJ) transport system, most nutrients (monosaccharides, amino acids, di-/tripeptides, organic acids, fatty acids, and sterols) are recognized by intestinal transporters located at the brush border membrane of the apical side of the enterocytes, and are absorbed during the first and second phases (I/II) metabolism (Shimizu, 2010). These intestinal transporters include sodium-dependent glucose transporter 1 (SGLT1) (Turk et al., 1994) for glucose, peptide transporter 1 (PepT1) for di/tripeptides (Meredith and Price, 2006), apical sodium dependent-bile acid transporter (ASBT) (Claro et al., 2013), nucleoside transporters (NTs) (Baldwin et al., 2004), organic anion transporting polypeptides (OATP) (Yu et al., 2017), and monocarboxylate transporters (MCTs) for organic acids (Halestrap and Wilson, 2012). Once the nutrients are incorporated into the intracellular intestinal membrane via the influx transporters, they are either pumped out to the gut via the efflux ATP binding cassette (ABC) family transporters, including breast cancer resistance protein (BCRP), multidrug resistance protein 2 (MRP2), and P-glycoprotein (P-gp) (Chen et al., 2016), or are subjected to degradation via processes, such as phase I hydrolysis, demethylation (Booth et al., 1958; Nielsen et al., 1998), and methylation (Miyake et al., 2000). Subsequently, in phase II, the incorporated compounds are also susceptible to sulfation and glucuronidation, and their combination reactions at the position of hydroxyl group (Bravo et al., 1998). Mass spectrometry (MS), in particular, matrix-assisted laser desorption/ionization (MALDI)-MS in combination with imaging techniques, is a powerful tool to comprehensively analyze such metabolites, as imaging can provide visual evidence about the location and production of metabolites by non-targeted MS (Nguyen et al., 2016; 2019). As shown in Fig. 1, the transport behavior of epicatechin-3-O-gallate (ECG) through rat's jejunum membrane as well as the preferable metabolism of ECG to sulfated and methyl/sulfated conjugates at the microvillus region of intestinal membrane is successfully visualized by imaging (Nguyen et al., 2019). The visualized metabolic behavior of ECG at rat's jejunum membrane also revealed the preferable (or rapid) conversion of intact ECG to sulfated ECG rather than glucuronidation (Fig. 1). The phase II metabolic behavior is in line with the preferable methylation and sulfation metabolism of catechins reported previously (Donovan et al., 2001; Actis-Goretta et al., 2013). For macromolecules, microfold (M) cells in the follicle-associated envelope of Peyer's patches or endocytosis route may be involved in the absorption. However, polyphenols have no specific transporter route; for example, catechins were reported to cross via passive TJ and/or active carrier-mediated transporter routes, which were different from types of catechins (Konishi et al., 2003). Therefore, it appears that the transport routes of polyphenols are not restrictive and vary based on their structural and molecular characteristics. Thus, the characteristics (hydrophobicity, molecular size, functional group, etc.) of polyphenols regulating their intestinal transport routes remain unclear and further studies based on in silico and molecular targeting analyses are required.
Visualized absorption behavior of epicatechin-3-O-gallate (ECG) across rat intestinal membrane through matrix-assisted laser desorption/ionization-mass spectrometry (MALDI-MS) imaging
Absorption of polyphenols in animal bloodstream. The extent of absorption, metabolism, and/or organ distribution may determine the reported physiological functions of polyphenols (Scalbert and Williamson, 2000; Scalbert et al., 2011). Table 2 summarizes the absorption properties of polyphenols in animal and human bloodstreams reported so far. As mentioned above, since some polyphenols are metabolized to form sulfated/glucuronided conjugates during intestinal transport, it should be noted whether intact or conjugated forms of polyphenols are used to evaluate the absorption amount in literature. Some studies reported absorption as the amount of intact form in the circulating bloodstream, whereas others reported a total of intact and conjugated forms (by deconjugation treatment with sulfatase/β-glucuronidase). However, considering that the definition of bioavailability or absorption / distribution / metabolism / excretion (ADME) denotes the absorbability of “physiologically active” forms, polyphenols showing less bioactivity must be excluded from the evaluation of absorption kinetics; therefore, analysis of the physiological functions of intact and/or conjugated polyphenols should be done together with the kinetic studies. As summarized in Table 2, the absorption of polyphenols in the bloodstream varies from Cmax of 0.0005 µmol/L for puerarin to 10,378 µmol/L for quercetin-3-O-glucuronide. Within the limited data included in this review, the magnitude of Cmax for most polyphenols in the bloodstream may lie in sub-micromolar to sub-millimolar ranges. The Tmax of most polyphenols is < 3 h, indicating that polyphenols are rapidly absorbed into the circulatory bloodstream after their intake. It appears that higher doses result in higher absorption of epigallocatechin-3-O-gallate (EGCG, 200–800 mg in human), naringin (10.5–168 mg/kg in Sprague-Dawley rats), and resveratrol (20–150 mg in human). Notably, the molecular size of polyphenols may not be a determining factor for their absorption. In contrast, the hydrophobicity or log P of polyphenols partly regulate intestinal absorption, as reported in literature (Sugawara et al., 2001; Murota et al., 2002) and in Table 2 for glyceollins (glyceollin I: area under the curve for 8 h, AUC0–8 h, 8.5 µmol·h/L; log P, 3.91 > glyceollin III: 1.0 µmol·h/L; log P, 3.60 > daidzein: 0.6 µmol·h/L; log P, 2.63). However, a comparative evaluation of absorption of various polyphenols (e.g., naringin, lutein, and quercetin in Table 2) cannot be done since the results were obtained from different scenarios, including dose, targeting analyte (intact, conjugates, or individual conjugate), and animal species. Furthermore, a quantitative assay method for polyphenol-administered blood using HPLC, LC-MS, or LC-tandem MS, with the aid of internal standard, like taxifolin (Zhang et al., 2020), is needed to determine reliable absorption profiles.
Polyphenols | Sub-category | Compound | Dose | Metabolite(s) monitored | AUC (µmol/L·h) 0→t |
0→t(h) | AUC (µmol/L·h) 0→∞ |
Cmax (µmol/L) | Tmax(h) | T1/2(h) | Reference |
---|---|---|---|---|---|---|---|---|---|---|---|
Flavonoids | |||||||||||
Anthocyanin | |||||||||||
Delphinidin-3-rutinoside | 489 mg/kg (Wistar rats n=3) |
Intact | 1.33 | 4 | n.a. | 0.58 · 0.41 | 2 | 0.8 | Matsumoto et al., 2001 | ||
Cyanidin-3-rutinoside | 476 mg/kg (Wistar rats n=3) |
Intact | 2.54 | 4 | n.a. | 0.85 ± 0.12 | 0.5 | 1.4 | ibid. | ||
Cyanidin-3-glucoside | 359 mg/kg (Wistar rats n=3) |
Intact | 1.51 | 4 | n.a. | 0.84 ± 0.19 | 0.5 | 2.1 | ibid. | ||
Delphinidin-3-rutinoside | 1.68 mg/kg (human n=8) |
Intact | 0.288 ± 0.110 | 8 | n.a. | 0.073 ± 0.035 | 1.8 | 3.2 | ibid. | ||
Cyanidin-3-rutinoside | 1.24 mg/kg (human n=8) |
Intact | 0.168 ± 0.075 | 8 | n.a. | 0.046 ± 0.023 | 1.5 | 3.5 | ibid. | ||
Delphinidin-3-glucoside | 0.488 mg/kg (human n=8) |
Intact | 0.069 ± 0.027 | 8 | n.a. | 0.023 ± 0.012 | 1.5 | 4.2 | ibid. | ||
Cyanidin-3-glucoside | 0.165 mg/kg (human n=8) |
Intact | 0.009 ± 0.007 | 8 | n.a. | 0.005 ± 0.004 | 1.3 | 1.3 | ibid. | ||
Cyanidin-3-glucoside | 500 mg/kg (human n=8) |
Intact | 0.28 ± 0.17 (SE) | 48 | n.a. | 0.14 ± 0.07 (SE) | 1.8 | 0.4 | de Ferrars et al., 2014 | ||
Flavanol | |||||||||||
Epicatechin | 2.9 mg (Wistar rats n=5) |
Intact + conjugates | 83.6 ± 39.8 | 24 | n.a. | 6.4±5.1 | 0.7 | 2.4 | Abrahamse et al., 2005 | ||
Epigallocatechin-3-O-gallate | 200 mg (human n=5) |
Intact | 0.81 ± 0.27 (SE) | 24 | n.a. | 0.16 ± 0.06 (SE) | 2.1 | 2 | Chow et al., 2001 | ||
Epigallocatechin-3-O-gallate | 400 mg (human n=5) |
Intact | 1.29 ± 0.78 (SE) | 24 | n.a. | 0.24 ± 0.22 (SE) | 1.8 | 2.7 | ibid. | ||
Epigallocatechin-3-O-gallate | 600 mg (human n=5) |
Intact | 3.71 ± 3.63 (SE) | 24 | n.a. | 0.37 ± 0.31 (SE) | 3 | 3.1 | ibid. | ||
Epigallocatechin-3-O-gallate | 800 mg (human n=5) |
Intact | 6.08 ± 2.07 (SE) | 24 | n.a. | 0.96 ± 0.62 (SE) | 4 | 1.9 | ibid. | ||
Flavanone | |||||||||||
Hesperidin | 10 mg/kg (SD rats n=3) |
Intact + conjugates | 6.4±0.9 (SE) | 24 | n.a. | 0.49±0.10 (SE) | 16 | n.a. | Nectoux et al., 2019 | ||
Hesperetin | 135 mg (human n=6) |
Intact + conjugates | 14.23 ± 5.62 | 12 | 16.03 ± 5.54 | 2.73 ± 1.36 | 3.7 | 3.1 | Kanaze et al., 2007 | ||
Naringin | 42 mg/kg (SD rats n=12) |
Intact | 0.79 ± 0.19 (SE) | 36 | 1.04 ± 0.23 | 0.31 ± 0.11 (SE) | 0.5 | 9.5 | Zeng et al., 2019 | ||
Naringin | 42 mg/kg (SD rats n=12) |
Metabolites (Naringenin + glucuronide) |
121.6 ± 17.8 (SE) | 36 | 122.8 ± 17.7 | 12.9 ± 1.6 (SE) | 8.8 | 3.2 | ibid. | ||
Naringin | 10.5 mg/kg (SD rats n=10) |
Intact + glucuronide | 0.056 ± 0.048 | 24 | 0.061 ± 0.050 | 0.055 ± 0.023 | 1.5 | 0.3 | Bai et al., 2020 | ||
Flavanone | |||||||||||
Naringin | 21 mg/kg (SD rats n=10) |
Intact + glucuronide | 0.059 ± 0.035 | 24 | 0.066 ± 0.037 | 0.053 ± 0.028 | 1.5 | 0.5 | ibid. | ||
Naringin | 42 mg/kg (SD rats n=10) |
Intact + glucuronide | 0.070 ± 0.088 | 24 | 0.078 ± 0.095 | 0.091 ± 0.136 | 1.2 | 0.5 | ibid. | ||
Naringin | 168 mg/kg (SD rats n=10) |
Intact + glucuronide | 0.24 ± 0.11 | 24 | 0.25 ± 0.11 | 0.18 ± 0.13 | 2.9 | 0.7 | ibid. | ||
Naringin | 3.1 mg/kg (Beagle dogs n=6) |
Intact + glucuronide | 0.19 ± 0.10 | 12 | 0.22 ± 0.13 | 0.069 ± 0.018 | 1.3 | 1.8 | ibid. | ||
Naringin | 12.4 mg/kg (Beagle dogs n=6) |
Intact + glucuronide | 0.21 ± 0.56 | 12 | 0.23 ± 0.06 | 0.12 ± 0.03 | 1 | 1.3 | ibid. | ||
Naringin | 49.6 mg/kg (Beagle dogs n=6) |
Intact + glucuronide | 0.36 ± 0.16 | 12 | 0.39 ± 0.18 | 0.18 ± 0.13 | 1 | 1.3 | ibid. | ||
Naringin | 40 mg (human n=10) |
Intact + glucuronide | 0.013 ± 0.006 | 10 | 0.017 ± 0.007 | 0.004 ± 0.001 | 2 | 2.5 | ibid. | ||
Naringin | 80 mg (human n=10) |
Intact + glucuronide | 0.016 ± 0.006 | 36 | 0.021 ± 0.005 | 0.005 ± 0.002 | 2.1 | 1.9 | ibid. | ||
Naringin | 160 mg (human n=10) |
Intact + glucuronide | 0.027 ± 0.013 | 36 | 0.039 ± 0.016 | 0.007 ± 0.005 | 2.5 | 3.6 | ibid. | ||
Naringin | 320 mg (human n=10) |
Intact + glucuronide | 0.065 ± 0.055 | 36 | 0.069 ± 0.055 | 0.019 ± 0.021 | 1.7 | 2.5 | ibid. | ||
Naringin | 480 mg (human n=10) |
Intact + glucuronide | 0.033 ± 0.014 | 36 | 0.037 ± 0.014 | 0.010 ± 0.005 | 1.7 | 2 | ibid. | ||
Naringenin | 30 mg/kg (SD rats n=6) |
Intact | 1.87 ± 1.78 | 24 | 2.09 ± 2.22 | 0.44 ± 0.35 | 0.5 | 5.4 | Xu et al., 2020 | ||
Naringenin | 30 mg/kg (Wistar rats n=10) |
Intact | 3.5 | 48 | 3.5 | 10.7 | 0.1 | n.a. | Ma et al., 2006 | ||
Naringenin | 30 mg/kg (Wistar rats n=10) |
Intact + glucuronide | 113 | 48 | 113 | 62 | 0.5 | n.a. | ibid. | ||
Naringenin | 90 mg/kg (Wistar rats n=10) |
Intact | 66.3 | 48 | 66.3 | 13.7 | 0.3 | n.a. | ibid. | ||
Naringenin | 90 mg/kg (Wistar rats n=10) |
Intact + glucuronide | 488 | 48 | 488 | 102 | 2 | n.a. | ibid. | ||
Naringenin | 270 mg/kg (Wistar rats n=10) |
Intact | 80.4 | 48 | 80.4 | 16.2 | 0.1 | n.a. | ibid. | ||
Naringenin | 270 mg/kg (Wistar rats n=10) |
Intact + glucuronide | 1701 | 48 | 1664 | 161 | 2 | n.a. | ibid. | ||
Naringenin | 135 mg (human n=6) |
Intact + conjugates | 32.48 ± 10.02 | 12 | 34.62 ± 10.87 | 7.38 ± 2.83 | 3.7 | 2.3 | Kanaze et al., 2007 | ||
Flavone | |||||||||||
Apigenin | 10 mg/kg (Wistar rats n=5) |
Intact | 542 ± 231 | 24 | n.a. | 79.1 ± 23.8 | 3.6 | 7.8 | Alshehri et al., 2019 | ||
Apigenin | 50 mg/kg (Wistar rats n = n.a.) |
Intact | 0.54 ± 0.23 (SE) | 24 | n.a. | 0.08 ± 0.02 (SE) | 3.6 | 7.8 | Altamimi et al., 2018 | ||
Apigenin | 100 mg/kg (SD rats n=6) |
Intact | 20.5 ± 9.1 | 24 | n.a. | 2.48 ± 0.63 | 2.2 | n.a. | Huang et al., 2019 | ||
Luteolin | 5.72 mg/kg (SD rats n=6) |
Intact | n.a. | n.a. | 0.78 ± 0.09 | 0.65 ± 0.04 | 0.1 | 3.5 | Deng et al., 2017 | ||
Luteolin | 14.3 mg/kg (SD rats n=5) |
Intact | n.a. | n.a. | 373.8 ± 7.7 | 6.88 ± 0.52 | 1 | 4.9 | Zhou, P. et al., 2008 | ||
Luteolin | 30 mg/kg (Wistar rats n=50) |
Intact | 10.1 ± 2.4 | 10 | 12.0 ± 2.5 | 3.13 ± 0.78 | 0.5 | 3.7 | Chen et al., 2010 | ||
Luteolin | 100 mg/kg (SD rats n=6) |
Intact | n.a. | n.a. | 35.6 ± 5.2 (SE) | 10.7 ± 2.5 (SE) | 4.8 | 2.2 | Lin et al., 2015 | ||
Luteolin | 200 mg/kg (SD rats n=6) |
Intact | 109.7 ± 24.8 | 24 | 110.3 ± 25.0 | 22.3 ± 4.8 | 2 | 4.7 | Shi et al., 2018 | ||
Luteo-7-glucoside | 1000 mg/kg (SD rats n=6) |
Intact | n.a. | n.a. | 78.4 ± 13.0 (SE) | 6.78 ± 1.70 (SE) | 4.8 | 11.4 | Lin et al., 2015 | ||
Flavonol | |||||||||||
Morin | 25 mg/kg (SD rats n=6) |
Intact | 2.80 ± 0.68 (SE) | 24 | n.a. | 3.1 ± 0.8 (SE) | n.a. | n.a. | Hou et al 2010 | ||
Morin | 25 mg/kg (SD rats n=6) |
Intact + conjugates | 16.0 ± 6.8 (SE) | 24 | n.a. | 18.5 ± 7.2 (SE) | n.a. | n.a. | ibid. | ||
Morin | 50 mg/kg (SD rats n=6) |
Intact | 104.5 ± 22.7 (SE) | 24 | n.a. | 84.9 ± 18.1 (SE) | n.a. | n.a. | ibid. | ||
Morin | 50 mg/kg (SD rats n=6) |
Intact + conjugates | 47.5 ± 14.6 (SE) | 24 | n.a. | 20.9 ± 6.2 (SE) | n.a. | n.a. | ibid. | ||
Rutin | 75 mg/kg (Wistar rats n=5) |
Intact + conjugates | n.a. | n.a. | 13.55 ± 0.75 | 1.53 ± 0.16 | 6 | 3.3 | Dominguez Moré et al., 2021 | ||
Rutin | 100 mg/kg (Wistar rats n=5) |
Intact + conjugates | n.a. | n.a. | 17.30 ± 1.55 | 2.08 ± 0.32 | 6 | 3.1 | ibid. | ||
Rutin | 200 mg/kg (Wistar rats n=5) |
Intact + conjugates | 926 ± 515 | 48 | n.a. | 28.9± 18.7 | 20.8 | n.a. | Nishijima et al., 2009 | ||
Rutin | 16 mg (human n=12) |
Intact + conjugates | 0.79 ± 0.18 | 32 | n.a. | 0.04 | 6.5 | n.a. | Erlund et al., 2000 | ||
Rutin | 40 mg (human n=12) |
Intact + conjugates | 1.30 ± 0.22 | 32 | n.a. | 0.08 | 7.4 | n.a. | ibid. | ||
Rutin | 100 mg (human=12) |
Intact + conjugates | 1.97 ± 0.67 | 32 | n.a. | 0.15 | 7.5 | n.a. | ibid. | ||
Rutin | 108 mg (human n=12) |
Intact + conjugates | 4.10 ± 3.60 | 24 | n.a. | 0.52 ± 0.56 | 7 | 11.8 | Graefe et al., 2001 | ||
Isoquercetin | 50 mg/kg (SD rats n=5) |
Intact | 0.06 ± 0.03 | 24 | n.a. | 0.0008 ± 0.0002 | 0.5 | 0.7 | Yin et al., 2019 | ||
Quercetin | 3 mg kg (Wistar rats n=5) |
Intact + conjugates | 77.5 ± 35.8 | 24 | n.a. | 2.6 ± 1.3 | 1.3 | 9.5 | Abrahamse et al., 2005 | ||
Quercetin | 10 mg/kg (SD rats n=5) |
Intact | 34.4 ± 9.6 | 12 | n.a. | 9.63 ± 9.17 | 0.6 | 10 | Abdelkawy et al., 2017 | ||
Quercetin | 10 mg/kg (SD rats n=5) |
Intact | n.a. | n.a. | 0.199 | 0.662 | 0.1 | n.a. | Chen et al., 2005 | ||
Quercetin | 10 mg/kg (SD rats n=5) |
Conjugates | n.a. | n.a. | 48.41 | 9.694 | 0.3 | n.a. | ibid. | ||
Quercetin | 15 mg/kg (SD rats n=6) |
Intact + conjugates | 2.6 ± 0.7 (SE) | 12 | n.a. | 0.26 ± 0.06 (SE) | n.a. | n.a. | Makino et al., 2009 | ||
Quercetin | 25 mg/kg (Wistar rats n=6) |
Intact | 1.82 ± 0.83 | 48 | n.a. | 1.22 ± 0.27 | 1 | 0.5 | Peñalva et al., 2019 | ||
Quercetin | 50 mg/kg (Wistar rats n=5) |
Intact | 187 ± 31 | 48 | n.a. | 19.5 ± 4.1 | 5 | 5.8 | Li et al., 2009 | ||
Quercetin | 50 mg/kg (Wistar rats n=5) |
Intact + conjugates | 25.3 ± 6.4 | 24 | n.a. | 3.48 ± 0.72 | 1.8 | n.a. | Nishijima et al., 2009 | ||
Quercetin | 50 mg/kg (SD rats n=5) |
Intact | 151 ± 24 | 72 | 167 ± 23 | 6.65 ± 1.29 | n.a. | 35.5 | Wang et al., 2017 | ||
Quercetin | 50 mg/kg (SD rats n=5) |
Intact | 143 ± 54 | 24 | n.a. | 0.025 ± 0.009 | 0.9 | 7.3 | Yin et al., 2019 | ||
Quercetin | 50 mg/kg (SD rats n=6) |
Intact + conjugates | 48.4 ± 3.8 (SE) | 24 | n.a. | 4.9 ± 1.0 (SE) | n.a. | n.a. | Hou et al., 2010 | ||
Quercetin | 100 mg/kg (SD rats n=6) |
Intact + conjugates | 80.3 ± 6.4 (SE) | 24 | n.a. | 9.5 ± 1.6 (SE) | n.a. | n.a. | ibid. | ||
Quercetin | 100 mg/kg (SD rats n=6) |
Intact | 5241 ± 1930 | 24 | 5285 ± 1951 | 2786 ± 1682 | 0.3 | 0.8 | Yang et al., 2016 | ||
Quercetin | 8 mg (human n=12) |
Intact + conjugates | 2.08 ± 0.15 (SE) | 32 | n.a. | 0.14 | 1.9 | 17.1 | Erlund et al., 2000 | ||
Quercetin | 20 mg (human n=12) |
Intact + conjugates | 3.50 ± 0.17 (SE) | 32 | n.a. | 0.22 | 2.7 | 17.7 | ibid. | ||
Quercetin | 50 mg (human n=12) |
Intact + conjugates | 4.38 ± 0.30 (SE) | 32 | n.a. | 0.285 | 4.9 | 15.1 | ibid. | ||
Quercetin | 1095 mg (human n=9) |
Intact + conjugates | 11.6 ± 1.0 (SE) | 24 | n.a. | 1.10 ± 0.13 (SE) | 5.7 | 8.9 | Guo et al., 2013 | ||
Quercetin-4′-O-glucoside | 71 mg/kg (human n=12) |
Intact + conjugates | 18.13 ± 19.64 | 24 | n.a. | 4.58 ± 3.52 | 0.7 | 11.9 | Graefe et al., 2001 | ||
Quercetin-3-O-glucuronide | 50 mg/kg (SD rats n=5) |
Intact | 33.5 ± 21.0 | 24 | n.a. | 4.26 ± 1.78 | 3.7 | 6.3 | Yin et al., 2019 | ||
Quercetin-3-O-glucuronide | 100 mg/kg (SD rats n=5) |
Intact | 51474 ± 3269 | 24 | 65486 ± 22353 | 10378 ± 2289 | 3.1 | 2.6 | Yang et al., 2016 | ||
Kaempferol | 25 mg/kg (SD rats n=6) |
Intact | 37.29 | 24 | 38.21 | 5.95 | 2 | 5.1 | Zhang et al., 2010 | ||
Kaempferol | 25 mg/kg (SD rats n=6) |
Glucuronide | 78.34 | 24 | 81.57 | 7.34 | 9 | 4.1 | ibid. | ||
Kaempferol | 50 mg/kg (SD rats n=6) |
Intact | 55.81 | 24 | 66.97 | 8.21 | 2 | 7.2 | ibid. | ||
Kaempferol | 50 mg/kg (SD rats n=6) |
Glucuronide | 225.55 | 24 | 237 | 21.15 | 9 | 4.3 | ibid. | ||
Kaempferol | 100 mg/kg (SD rats n=4) |
Intact | 3.11 ± 0.07 | 12 | n.a. | 0.63 ± 0.03 | 1.5 | 5.3 | Zhou et al., 2016 | ||
Kaempferol | 250 mg/kg (SD rats n=4) |
Intact | 5.28 ± 0.25 | 12 | n.a. | 1.61 ± 0.10 | 1 | 3.5 | ibid. | ||
Kaempferol | 1250 mg/kg (SD rats n=6) |
Intact | n.a. | n.a. | 2.55 ± 0.10 | 0.58 ± 0.01 | 1.1 | 3.3 | Zhang et al., 2009 | ||
Kaempferol | 2500 mg/kg (SD rats n=6) |
Intact | n.a. | n.a. | 6.04 ± 0.20 | 0.81 ± 0.02 | 1.2 | 9.3 | ibid. | ||
Isorhamnetin | 0.25 mg/kg (Wistar rats n=6) |
Intact + conjugates | 2.65 ± 0.56 | 60 | 2.73 ± 0.65 | 0.18 ± 0.06 | 8 | 8.4 | Lan et al., 2007 | ||
Isorhamnetin | 0.5 mg/kg (Wistar rats n=6) |
Intact + conjugates | 3.99 ± 1.09 | 60 | 4.19 ± 1.03 | 0.20 ± 0.05 | 6.4 | 11.4 | ibid. | ||
Isorhamnetin | 1 mg/kg (Wistar rats n=6) |
Intact + conjugates | 5.13 ± 1.47 | 60 | 5.48 ± 1.30 | 0.24 ± 0.02 | 7.2 | 11.2 | ibid. | ||
Isoflavone | |||||||||||
Genistein | 6.25 mg/kg (SD rats n=6) |
Intact | 1.45 | 36 | 1.67 | 0.39 | 0.2 | 3.2 | Zhou, S. et al., 2008 | ||
Genistein | 6.25 mg/kg (SD rats n=6) |
Glucuronide | 10.7 | 36 | 11 | 13.2 | 0.2 | 2.2 | ibid. | ||
Genistein | 12.5 mg/kg (SD rats n=6) |
Intact | 4.99 | 36 | 5.11 | 0.95 | 0.2 | 8.5 | ibid. | ||
Genistein | 12.5 mg/kg (SD rats n=6) |
Glucuronide | 29 | 36 | 30.2 | 18.3 | 0.2 | 6.3 | ibid. | ||
Genistein | 50 mg/kg (SD rats n=6) |
Intact | 11 | 36 | 11.3 | 2.77 | 0.2 | 8.4 | ibid. | ||
Genistein | 50 mg/kg (SD rats n=6) |
Glucuronide | 106 | 36 | 108 | 33.5 | 0.2 | 7.2 | ibid. | ||
Genistein | 30 mg/kg (human n=10) |
Intact | 9.59 ± 3.13 | 48 | 9.76 ± 3.25 | 0.89 ± 0.29 | 4 | 7.6 | Ullmann et al., 2005 | ||
Genistein | 60 mg/kg (human n=10) |
Intact | 23.9 ± 7.4 | 48 | 24.3 ± 17.8 | 2.04 ± 0.97 | 5 | 7.5 | ibid. | ||
Genistein | 150 mg/kg (human n=10) |
Intact | 71.6 ± 31.2 | 48 | 73.2 ± 32.4 | 5.49 ± 1.24 | 5 | 8 | ibid. | ||
Genistein | 300 mg/kg (human n=10) |
Intact | 96.7 ± 32.8 | 48 | 96.7 ± 39.7 | 6.56 ± 1.39 | 6 | 9.5 | ibid. | ||
Daidzein | 1.0 mg/kg (SD rats n=4) |
Intact + conjugates | 0.6 ± 0.1 | 8 | n.a. | 0.11 ± 0.03 | 8 | n.a. | Zhang et al., 2020 | ||
Daidzein | 10 mg/kg (SD rats n=3) |
Intact | 1.45 ± 0.40 | 12 | n.a. | 0.52 ± 0.12 | 0.4 | n.a. | Shen et al., 2011 | ||
Daidzein | 10 mg/kg (Wistar rats n=6) |
Intact + conjugates | 36.0 ± 6.2 | 24 | 45.0 ± 8.7 | 2.78 ± 0.36 | 6.5 | n.a. | Panizzon et al., 2019 | ||
Daidzein | 15 mg/kg (SD rats m=6) |
Intact | 0.65 ± 0.12 | 24 | 0.72 ± 0.09 | 0.102 ± 0.008 | 2.7 | 6 | Li, Y. et al., 2021 | ||
Daidzein (in 0.5% CMCNa) | 20 mg/kg (SD rats n=6) |
Intact | 6.33 ± 3.22 | 48 | 6.35 ± 3.26 | 0.50± 0.19 | 5 | 4.6 | Qiu et al., 2005 | ||
Daidzein (in 0.5% CMCNa) | 20 mg/kg (SD rats n=6) |
Glucuronide | 10.4 ± 6.4 | 48 | 10.8 ± 6.8 | 0.76 ± 0.22 | 3.7 | 10.3 | ibid. | ||
Daidzein (in 0.9% NaCl solution) | 20 mg/kg (SD rats n=6) |
Intact | 13.3 ± 11.7 | 48 | 13.3 ± 11.7 | 2.36 ± 1.19 | 0.5 | 3.4 | ibid. | ||
Daidzein (in 0.9% NaCl solution) | 20 mg/kg (SD rats n=6) |
Glucuronide | 59.1 ± 52.4 | 48 | 60.3 ± 52.4 | 11.8 ± 9.7 | 0.4 | 10.8 | ibid. | ||
Daidzein | 100 mg/kg (SD rats n=6) |
Intact | 31.7 ± 14.0 | 24 | n.a. | 3.66 ± 8.77 | 1.5 | n.a. | Huang et al., 2019 | ||
Puerarin | 100 mg/kg (SD rats n=6) |
Intact | 0.0021 ± 0.0001 | 14 | 0.0027 ± 0.0002 | 0.0005 ± 0.0001 | 0.6 | 6 | Ouyang et al., 2012 | ||
Isoformononetin | 10 mg/kg (SD rats n=5) |
Intact | 2.98 ± 0.75 | 30 | 2.98 ± 0.75 | 1.00 ± 0.22 | 0.4 | 1.9 | Raju et al., 2019 | ||
Equal-OH | 1.0 mg/kg (SD rats n=4) |
Intact + conjugates | 0.2 ± 0.1 | 8 | n.a. | 0.05 ± 0.02 | 0.5 | n.a. | Zhang et al., 2020 | ||
Glyceollin I | 1.0 mg/kg (SD rats n=4) |
Intact + conjugates | 8.5 ± 0.7 | 8 | n.a. | 1.9 ± 0.6 | 0.5 | 3.1 | ibid. | ||
Glyceollin III | 1.0 mg/kg (SD rats n=4) |
Intact + conjugates | 1.0 ± 0.2 | 8 | n.a. | 0.25 ± 0.05 | 0.5 | 4.7 | ibid. | ||
Flavonolignan | |||||||||||
Silybin stereoisomer 2R 3R 10R 11R | 200 mg/kg (Wistar rats n=3) |
Intact | 0.97 | 6 | n.a. | 0.27 | 4.1 | 2 | Marhol et al., 2015 | ||
Silybin stereoisomer 2R 3R 10R 11R | 200 mg/kg (Wistar rats n=3) |
Intact + conjugates | 7.32 | 6 | n.a. | 2.18 | 3.9 | 2.2 | ibid. | ||
Silybin stereoisomer 2R 3R 10S 11S | 200 mg/kg (Wistar rats n=3) |
Intact | 2.09 | 6 | n.a. | 0.95 | 1 | 1.4 | ibid. | ||
Silybin stereoisomer 2R 3R 10S 11S | 200 mg/kg (Wistar rats n=3) |
Intact + conjugates | 134.6 | 6 | n.a. | 30 | 2.6 | 2.9 | ibid. | ||
Xanthones | |||||||||||
Mangiferin | 38 mg/kg (SD rats n=6) |
Intact | n.a. | n.a. | 1.65 ± 0.33 | 0.46 ± 0.18 | 2 | 1.4 | Chang et al., 2018 | ||
Stilbenes | |||||||||||
Resveratrol | 15 mg/kg (Wistar rats n=6) |
Intact | 1.23 ± 0.57 | 4 | n.a. | 0.88 ± 0.09 | 0.6 | 0.3 | Peñalva et al., 2018 | ||
Resveratrol | 40 mg/kg (SD rats n=5) |
Intact | 2.47 ± 0.36 | 12 | n.a. | 2.42 ± 0.24 | 0.3 | n.a. | Sin et al., 2018 | ||
Resveratrol | 50 mg/kg (SD rats n=6) |
Intact | 8.31 ± 2.39 | 24 | n.a. | 1.68 ± 0.54 | 1.2 | 3.6 | Qiu et al., 2017 | ||
Resveratrol | 50 mg/kg (SD rats n=6) |
Intact | 7 ± 2 | 12 | 7.1 ± 2.0 | 6.57 ± 1.55 | 0.3 | 1.5 | Marier et al., 2002 | ||
Resveratrol | 50 mg/kg (SD rats n=6) |
Intact + glucuronide | 322 ± 57 | 12 | 325 ± 58 | 105 ± 32 | 0.4 | 1.6 | ibid. | ||
Resveratrol | 60 mg/kg (SD rats n=6) |
Intact | 9.59 ± 1.88 | 8 | n.a. | 3.08 ± 0.74 | 0.5 | 5.2 | Liu et al., 2019 | ||
Resveratrol | 100 mg/kg (SD rats n=6) |
Intact | n.a. | n.a. | 23.4± 3.13 | n.a. | 0.17 | 1.97 ± 0.34 | Liang et al., 2013 | ||
Resveratrol | 150 mg/kg (Kunming mice n=5) |
Intact | n.a. | n.a. | 5.11 ± 4.53 | 9.91 ± 5.66 | 0.2 | n.a. | Wang et al., 2021 | ||
Resveratrol | 5.9 mg/kg (pigs n=4) |
Intact | 30.64 ± 0.03 | 5 | 35.76 ± 0.04 | 15.96 ± 0.08 | 1 | 1.2 | Azorin-Ortuno et al., 2010 | ||
Resveratrol | 0.5 mg (human n=10) |
Intact | n.a. | n.a. | 0.98 | 0.32 ± 0.16 | 0.8 | 2.9 | Boocock et al., 2007 | ||
Resveratrol | 1.0 mg (human n=10) |
Intact | n.a. | n.a. | 2.39 ± 1.37 | 0.51 ± 0.38 | 0.8 | 8.9 | ibid. | ||
Resveratrol | 2.5 mg (human n=10) |
Intact | n.a. | n.a. | 3.45 ± 1.25 | 1.17 ± 0.65 | 1.4 | 4.2 | ibid. | ||
Resveratrol | 5.0 mg (human n=10) |
Intact | n.a. | n.a. | 5.78 ± 3.42 | 2.36 ± 1.71 | 1.5 | 8.5 | ibid. | ||
Resveratrol | 1.36 mg (human n=10) |
Intact + conjugates | 3.326 ± 0.47 | 96 | n.a. | 0.473 ± 0.117 | 2.4 ± 0.9 | n.a. | Tani et al., 2014 | ||
Resveratrol | 25 mg (human n=8) |
Intact + conjugates | 27.3 ± 3.0 (SE) | 72 | n.a. | n.a. | n.a. | 9.2 | Walle et al., 2004 | ||
Resveratrol | 25 mg (human n=8) |
Intact | 0.004 ± 0.002 | 3 | n.a. | 0.006 ± 0.003 | 1 | 2 | Almeida et al., 2009 | ||
Resveratrol | 50 mg (human n=8) |
Intact | 0.019 ± 0.012 | 3 | n.a. | 0.029 ± 0.025 | 0.9 | 1.8 | ibid. | ||
Resveratrol | 100 mg (human n=8) |
Intact | 0.085 ± 0.074 | 3 | n.a. | 0.094 ± 0.106 | 1.3 | 1.1 | ibid. | ||
Resveratrol | 150 mg (human n=8) |
Intact | 0.140 ± 0.086 | 3 | n.a. | 0.109 ± 0.086 | 1.3 | 1.9 | ibid. | ||
Resveratrol | 180 mg (human n=6) |
Intact | 4.14± 0.81 (SE) | 3 | n.a. | 2.3 ± 0.5 (SE) | 1.9 | 2.1 | Ianitti et al., 2020 | ||
Resveratrol-3-O-glucoside | 75 mg/kg (SD rats n=8) |
Intact | n.a. | n.a. | 3.20 ± 1.31 | n.a. | n.a. | 1.6 | Su et al., 2019 | ||
Resveratrol-3-O-glucoside | 150 mg/kg (SD rats n=8) |
Intact | n.a. | n.a. | 9.53 ± 3.66 | n.a. | n.a. | 1.3 | ibid. | ||
Resveratrol-3-O-glucoside | 300 mg/kg (SD rats n=8) |
Intact | n.a. | n.a. | 19.52 ± 5.71 | n.a. | n.a. | 1.3 | ibid. | ||
Curcuminoids | |||||||||||
Curcumin | 300 mg/kg (SD rats n=5) |
Intact | 1.26 ± 0.94 | 24 | 1.44± 1.26 | 0.36 ± 0.54 | 4.13 ± 4.97 | 6.38 ± 4.65 | Yu et al., 2019 | ||
Curcumin | 340 mg/kg (Wistar rats n=3) |
Intact | 0.22 | 2 | n.a. | 0.0065 ± 0.0045 | 0.5 | n.a. | Marczylo et al., 2007 | ||
Curcumin | 340 mg/kg (Wistar rats n=3) |
Glucuronide | 9.08 | 2 | n.a. | 0.225 ± 0.0006 | 0.5 | n.a. | ibid. | ||
Circumin | 340 mg/kg (Wistar rats n=3) |
Sulfate | 0.7 | 2 | n.a. | 0.007± 0.0115 | 1 | n.a. | ibid. | ||
Phenolic acids | |||||||||||
Ferulic acid | 50 mg/kg (SD rats n=6) | Intact | 0.0053 ± 0.0013 | 6 | 0.0057 ± 0.0012 | 0.0038 ± 0.0007 | 0.2 | 3.8 | Ouyang et al., 2012 | ||
Caffeic acid | 10 mg/kg (SD rats n=6) |
Intact | 1.68 ± 0.14 | 12 | 1.97 ± 0.18 | 1.39 ± 0.21 | 0.3 | 2.1 | Wang et al., 2014 | ||
Caffeic acid | 17 mg/kg (SD rats n=6) |
Intact | 4.37 ± 0.45 | 12 | 4.56 ± 0.48 | 2.50 ± 0.08 | 0.3 | 1.3 | Shi et al., 2019 | ||
Caffeic acid | 20 mg/kg (SD rats n=6) |
Intact | 77.817 ± 42.481 | 12 | 77.88 ± 42.47 | 43.69 ± 13.77 | 0.3 | 1.3 | Wang et al., 2015 | ||
Caffeic acid | 18 mg/kg (Wistar rats) |
Intact | 1.82 | 1.5 | n.a. | 2.27 ± 0.16 (SE) | 0.17 | 0.57 | Konishi et al., 2005 | ||
Caffeic acid | 18 mg/kg (Wistar rats) |
Conjugates | 26.9 | 1.5 | n.a. | 30.30 ± 2.48 | 0.3 | n.a. | ibid. | ||
Syringic acid | 30 mg/kg (SD rats n=3) |
Intact | 295.9 ± 121.8 | 8 | 298.4 ± 124.4 | 165.3 ± 36.4 | 0.7 | 1.2 | Zhou et al., 2012 | ||
Salicylic acid | 30 mg/kg (SD rats n=3) |
Intact | 1978.7 ± 173.8 | 8 | 4141.3 ± 614.5 | 439.3 ± 33.8 | 0.7 | 8.9 | ibid. | ||
p-Coumaric acid | 2.35 mg/kg (Wistar rats n=6) |
Intact | 13.95 ± 3.35 | 6 | 14.13 ± 3.47 | 19.19 ± 2.98 | 0.2 | 1.3 | Cui et al., 2010 |
Data represent the mean ± standard deviation (SD), except for the representation of SE (standard error); n.a., not available
Polyphenol-induced health benefits, such as improved insulin sensitivity (Park et al., 2012), vasorelaxation (Lorenz et al., 2009), and anti-atherosclerosis (Loke et al., 2010) indicate their local action or accumulation in the organs. However, studies that report tissue accumulation of polyphenols in the circulatory system are rare. Table 3 summarizes the amount of tissue accumulation of polyphenols in organs, including the liver, the kidneys, the heart, the lung, and the muscle. Although the available data on the tissue accumulation kinetics of polyphenols in literature were limited, it appears that they can be distributed and can accumulate in the organs rapidly (< 1 h) after absorption into the bloodstream. The accumulation of the four polyphenols in different organs listed in Table 3 occurs preferably in the following order: the kidney > the liver > the lung > the heart > the muscle. However, further accumulation studies are needed to clarify the pharmacokinetics of polyphenol accumulation in relation to polyphenol structure and to obtain insights on the absorbability by considering the total amount of absorption in the blood and the organs. In our unpublished study, > 80% of hydrophobic isoflavone metabolites are preferentially distributed into the organs, while > 80% of the parent isoflavones are still present in the blood. Table 3 also shows the effect of tissue accumulation of conjugated polyphenols. The possible tissue accumulation of conjugated polyphenols has also been reported by other researchers (Chang et al., 2000; Soucy et al., 2006; Urpi-Sarda et al., 2008), in which glucuronided and sulfated conjugates of genistein were detected in the placenta of female rats (Soucy et al., 2006).
Compound | Dose (mg/kg) |
Metabolite(s) | Cmax (µmol/L or nmol/mL or nmol/g-tissue) (intact + conjugates) |
Reference | |||||
---|---|---|---|---|---|---|---|---|---|
Plasma | Liver | Kidney | Heart | Lung | Muscle | ||||
Ferulic acid | 3.3 | Intact | 5.73 (Tmax, 0.66 h) |
1.62 (n.a.) |
12.66 (n.a.) |
0.21 (n.a.) |
0.19 (n.a.) |
n.a. | Chen et al., 2021 |
Naringin | 42 | Intact | 0.309 (0.5 h) |
12.2 (0.25 h) |
13.2 (0.25 h) |
0.363 (0.25 h) |
188 (1 h) |
0.618 (0.25 h) |
Zeng et al., 2019 |
Naringin | 42 | Naringenin Naringenin-Glucuronide Naringenin-Sulfate Naringenin-Glucuronide/Sulfate |
12.9 (0.25 h) |
78.7 (6 h) |
46.7 (6 h) |
5.24 (6 h) |
9.32 (1 h) |
1.07 (6 h) |
ibid. |
Daidzein | 1.64 | Equol cis-4-OH-Equol Dihydrodaidzein Tetrahydrodaidzein |
0.38 (0.89 h) |
0.43 (n.a.) |
0.25 (n.a.) |
0.022 (n.a.) |
0.18 (n.a.) |
n.a. | Prasain et al., 2004; Chen et al., 2018 |
Resveratrol | 50 | Sulfate Glucuronide |
7 (2 h) |
1.1 (2 h) |
4 (2 h) |
0.1 (2 h) |
0.4 (2 h) |
n.a. | El-Moshen et al., 2006 |
Pelargonidin | 50 | Glucuronide Aglycone |
n.a. | 0.27 | 0.65 | Not detected |
0.24 | n.a. | ibid. |
Dihydrimyrcetin | 100 | Intact | n.a. | 5.4 (0.25 h) |
4.91 (0.25 h) |
12 (0.25 h) |
17.1 (0.25 h) |
n.a. | Fan et al., 2017 |
Neochrogenic acid |
5.09 | Intact | n.a. | 0.72 (0.25 h) |
0.6 (0.22 h) |
0.44 (0.22 h) |
0.53 (0.25 h) |
n.a. | Li, S. et al., 2021 |
Chlorogenic acid | 6.88 | Intact | n.a. | 0.85 (0.25 h) |
0.81 (0.25 h) |
0.56 (0.21 h) |
0.67 (0.25 h) |
n.a. | ibid. |
Cryptochlorogenic acid |
3.24 | Intact | n.a. | 0.89 (0.24 h) |
0.85 (0.25 h) |
0.61 (0.25 h) |
0.81 (0.25 h) |
n.a. | ibid. |
Caffeic acid | 3.01 | Intact | n.a. | 1.93 (0.22 h) |
1.85 (0.25 h) |
1.48 (0.25 h) |
1.67 (0.25 h) |
n.a. | ibid. |
Resveratrol | 100 | Intact | n.a. | 3.14 (0.25 h) |
2.53 (0.25 h) |
2.25 (0.25 h) |
1.66 (0.25 h) |
n.a. | Liang et al., 2013 |
Catechin | 543 | Intact | 11.8 (0.38 h) |
59 (0.5 h) |
n.a. | 6.05 | 12.8 | n.a. | Wang et al., 2019 |
Epicatechin | 34 | Intact | 1.42 (0.46 h) |
8.77 (0.25 h) |
n.a. | 2.48 (0.5 h) |
1.67 (0.25 h) |
n.a. | ibid. |
n.a. indicates not available
Organic anion transporters (MCT, OAT1, and OATP1B1) may be involved in the intracellular incorporation of intact and conjugated polyphenols, but their tissue incorporation routes and physiological action(s) in the accumulated organs are not well understood. Thus far, reports have shown that the sulfation of polyphenols induces glucose transporter 4 (GLUT4) translocation (Houghton et al., 2019) and anti-hypertensive effect (Van Rymenant et al., 2017), whereas glucuronided forms of polyphenols promote NO production (Serreli et al., 2021) and reduce hepatocyte fat accumulation (Trepiana et al., 2020). These findings allow us to investigate the physiological functions of conjugated polyphenols as their underlying inter-/intracellular mechanisms remain unexplored.
Spinosin, a flavonoid glycoside that performs sedation and hypnosis actions, was incorporated mainly via MCT and partly SGLT1, together with recognition by P-gp-efflux route (Meng et al., 2016). In contrast, tomatoside A, a steroidal saponin from tomato seed (Li et al., 2018), as well as condensed catechins, theaflavins (Takeda et al., 2013), could not cross the intestinal membrane (Fig. 2). However, the saponin could reduce glucose transport by suppressing the expression of GLUT2. In in vitro transport experiments using Caco-2 cells, which are derived from human colon carcinoma, the saponin could be incorporated into cells via ASBT and then pumped out to the apical side through the MRP2 efflux route. During the influx/efflux transportation process, intracellular protein kinase C (PKC) was activated to inhibit GLUT2 expression (Li et al., 2018). For the intestinal transportation of theaflavins as non-absorbable compounds, like tomato saponin, more evidence on transportation behavior was visually obtained using MALDI-MS imaging technique, which suggested that theaflavins were incorporated into rat intestinal cells through both MCT and OATP transporters (Fig. 2) (Nguyen et al., 2019). Non-targeted MALDI-MS analysis also revealed that there was an efflux of non-absorbable theaflavins back to the gut via the ABC transporters, like other polyphenols (Chan et al., 2007), without any MS detection of metabolites, indicating that the incorporated theaflavins are stable or less susceptible to phase I/II metabolism. Although the physiological roles of non-absorbable theaflavins are not fully understood, the influx/efflux transportation dynamics may result in the activation of AMP-activated protein kinase (AMPK), affecting the expression of intestinal absorption pathways, such as carrier-mediated and paracellular passive pathways (Peng et al., 2009; Pieri et al., 2010; Sopjani et al., 2010). Previous reports revealed that theaflavins caused the suppression of PepT1 expression (Takeda et al., 2013), enhancement of intestinal membrane barrier via the expression of TJ-related proteins, including occludin, claudin-1, and zonula occluden (ZO)-1 (Park et al., 2015), suppression of SGLT1 expression (Li et al., 2020), and stimulation of incretin (glucagon-like peptide-1, GLP-1, and glucose-dependent insulinotropic polypeptide, GIP) secretion (Li, B. et al., 2021). The activation of AMPK requires the phosphorylation of Thr-172 at the loops of α1 and α2 subunits through activation of upstream kinases, including liver kinase B1 (LKB1), Ca2+/calmodulin-dependent protein kinase kinase (CaMKK), or transforming growth factor-ß-activated kinase-1 (TAK-1) (Hardie, 2008; Kim and He, 2013). However, the upstream signaling mechanism(s) that are involved in AMPK activation during the influx/efflux transportation process of theaflavins remain unclear.
Visualized absorption behavior of steroidal saponin (tomatoside A) and theaflavins across rat intestinal membrane through matrix-assisted laser desorption/ionization-mass spectrometry (MALDI-MS) imaging
Polyphenols have diverse physiological potentials for maintaining homeostasis. However, these compounds are susceptible to metabolic phase I/II reactions during intestinal absorption and form a variety of conjugates. Although in this review, the bioavailability of major polyphenols was discussed, little is known about the absorbability of other naturally occurring polyphenols. Considering the in vivo findings that polyphenols can provide diverse health benefits, more research on tissue distribution is required to explore the effects of polyphenols. Furthermore, the combinatory effect of polyphenols on contaminated food compounds should also be taken into consideration while developing strategies for polyphenol-derived health promotion (Wendling et al., 2015).
Acknowledgements The author appreciates the contributions of Dr. A.M. Nectoux, Ms. C. Abe, and Ms. A. Soma in Kyushu University in this study. This work was supported by JSPS KAKENHI Grant Number JP21H05006.
Conflict of interest There are no conflicts of interest to declare.
ATP binding cassette
ADMEabsorption/distribution/metabolism/excretion
AMPKAMP-activated protein kinase
ASBTapical sodium dependent-bile acid transporter
AUCarea under the curve
BCRPbreast cancer resistance protein
CaMKKcalmodulin-dependent protein kinase kinase
CVDcardiovascular disease
ECGepicatechin-3-O-gallate
EGCGepigallocatechin-3-O-gallate
GIPglucose-dependent insulinotropic polypeptide
GLP-1glucagon-like peptide-1
GLUTglucose transporter
LKB1liver kinase B1
MALDImatrix-assisted laser desorption/ionization
MCTsmonocarboxylate transporters
MRPmultidrug resistance protein
MSmass spectrometry
NOnitrogen monoxide
NTsnucleoside transporters
OATPorganic anion transporting polypeptides
PepT1peptide transporter 1
P-gpP-glycoprotein
PKCprotein kinase C
SGLT-1sodium-dependent glucose transporter
TAK-1transforming growth factor-ß-activated kinase-1
TJtight junction
ZO-1zonula occluden-1