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Flavanol monomer-induced changes to the human faecal microflora
Open accessAbstract
We have investigated the bacterial-dependent metabolism of ( − )-epicatechin and (+)-catechin using a pH-controlled, stirred, batch-culture fermentation system reflective of the distal region of the human large intestine. Incubation of ( − )-epicatechin or (+)-catechin (150 mg/l or 1000 mg/l) with faecal bacteria, led to the generation of 5-(3′,4′-dihydroxyphenyl)-γ-valerolactone, 5-phenyl-γ-valerolactone and phenylpropionic acid. However, the formation of these metabolites from (+)-catechin required its initial conversion to (+)-epicatechin. The metabolism of both flavanols occurred in the presence of favourable carbon sources, notably sucrose and the prebiotic fructo-oligosaccharides, indicating that bacterial utilisation of flavanols also occurs when preferential energy sources are available. (+)-Catechin incubation affected the growth of select microflora, resulting in a statistically significant increase in the growth of the Clostridium coccoides–Eubacterium rectale group,Bifidobacterium spp. and Escherichia coli, as well as a significant inhibitory effect on the growth of the C. histolyticum group. In contrast, the effect of ( − )-epicatechin was less profound, only significantly increasing the growth of the C. coccoides–Eubacterium rectale group. These potential prebiotic effects for both (+)-catechin and ( − )-epicatechin were most notable at the lower concentration of 150 mg/l. As both ( − )-epicatechin and (+)-catechin were converted to the same metabolites, the more dramatic change in the growth of distinct microfloral populations produced by (+)-catechin incubation may be linked to the bacterial conversion of (+)-catechin to (+)-epicatechin. Together these data suggest that the consumption of flavanol-rich foods may support gut health through their ability to exert prebiotic actions.
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Polyphenols: Food sources and bioavailability
Manach, C., Scalbert, A., Morand, C., Rémésy, C., & Jiménez, L. (2004) · The American Journal of Clinical Nutrition · doi:10.1093/ajcn/79.5.727 · Cited by 8,175
Polyphenols and disease risk in epidemiologic studies
Arts, I. C., & Hollman, P. C. (2005) · The American Journal of Clinical Nutrition · doi:10.1093/ajcn/81.1.317s · Cited by 1,916
O’Mahony, L., McCarthy, J., Kelly, P., Hurley, G., Luo, F., Chen, K., O’Sullivan, G. C., Kiely, B., Collins, J. K., Shanahan, F., et al. (2005) · Gastroenterology · doi:10.1053/j.gastro.2004.11.050 · Cited by 1,448
Flavonols, Flavones, Flavanones, and Human Health: Epidemiological Evidence
Graf, B. A., Milbury, P. E., & Blumberg, J. B. (2005) · Journal of Medicinal Food · doi:10.1089/jmf.2005.8.281 · Cited by 556
Vascular effects of cocoa rich in flavan-3-ols
Heiss, C. (2003) · JAMA: The Journal of the American Medical Association · doi:10.1001/jama.290.8.1030 · Cited by 425
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Jandhyala, S. M. (2015) · World Journal of Gastroenterology · doi:10.3748/wjg.v21.i29.8787 · Cited by 3,001
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Singh, R. K., Chang, H.-W., Yan, D., Lee, K. M., Ucmak, D., Wong, K., Abrouk, M., Farahnik, B., Nakamura, M., Zhu, T. H., et al. (2017) · Journal of Translational Medicine · doi:10.1186/s12967-017-1175-y · Cited by 2,599
Interaction between Phenolics and Gut Microbiota: Role in Human Health
Selma, M. V., Espín, J. C., & Tomás-Barberán, F. A. (2009) · Journal of Agricultural and Food Chemistry · doi:10.1021/jf902107d · Cited by 1,324
Interactions of gut microbiota with functional food components and nutraceuticals
Laparra, J. M., & Sanz, Y. (2010) · Pharmacological Research · doi:10.1016/j.phrs.2009.11.001 · Cited by 684
Queipo-Ortuño, M. I., Boto-Ordóñez, M., Murri, M., Gomez-Zumaquero, J. M., Clemente-Postigo, M., Estruch, R., Cardona Diaz, F., Andrés-Lacueva, C., & Tinahones, F. J. (2012) · The American Journal of Clinical Nutrition · doi:10.3945/ajcn.111.027847 · Cited by 671
Interaction of dietary compounds, especially polyphenols, with the intestinal microbiota: a review
Duda-Chodak, A., Tarko, T., Satora, P., & Sroka, P. (2015) · European Journal of Nutrition · doi:10.1007/s00394-015-0852-y · Cited by 599
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van Duynhoven, J., Vaughan, E. E., Jacobs, D. M., A. Kemperman, R., van Velzen, E. J. J., Gross, G., Roger, L. C., Possemiers, S., Smilde, A. K., Doré, J., et al. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1000098107 · Cited by 540
Feeding the microbiota–gut–brain axis: Diet, microbiome, and neuropsychiatry
Sandhu, K. V., Sherwin, E., Schellekens, H., Stanton, C., Dinan, T. G., & Cryan, J. F. (2017) · Translational Research · doi:10.1016/j.trsl.2016.10.002 · Cited by 491
A survey of modulation of gut microbiota by dietary polyphenols
Dueñas, M., Muñoz-González, I., Cueva, C., Jiménez-Girón, A., Sánchez-Patán, F., Santos-Buelga, C., Moreno-Arribas, M. V., & Bartolomé, B. (2015) · BioMed Research International · doi:10.1155/2015/850902 · Cited by 396
Lordan, C., Thapa, D., Ross, R. P., & Cotter, P. D. (2020) · Gut Microbes · doi:10.1080/19490976.2019.1613124 · Cited by 289
Metabolomics View on Gut Microbiome Modulation by Polyphenol-Rich Foods
Moco, S., Martin, F.-P. J., & Rezzi, S. (2012) · Journal of Proteome Research · doi:10.1021/pr300581s · Cited by 234
Impact of polyphenols from black tea and red wine/grape juice on a gut model microbiome
Kemperman, R. A., Gross, G., Mondot, S., Possemiers, S., Marzorati, M., Van de Wiele, T., Doré, J., & Vaughan, E. E. (2013) · Food Research International · doi:10.1016/j.foodres.2013.01.034 · Cited by 223
Ganesan, K., Chung, S. K., Vanamala, J., & Xu, B. (2018) · International Journal of Molecular Sciences · doi:10.3390/ijms19123720 · Cited by 221
Eid, N., Enani, S., Walton, G., Corona, G., Costabile, A., Gibson, G., Rowland, I., & Spencer, J. P. E. (2014) · Journal of Nutritional Science · doi:10.1017/jns.2014.16 · Cited by 192
Self-citationVauzour, D., Corona, G., & Spencer, J. P. E. (2010) · Archives of Biochemistry and Biophysics · doi:10.1016/j.abb.2010.03.016 · Cited by 166
Self-citationWhole food-based approaches to modulating gut microbiota and associated diseases
Han, Y., & Xiao, H. (2020) · Annual Review of Food Science and Technology · doi:10.1146/annurev-food-111519-014337 · Cited by 101
The Emerging Role of Polyphenols in the Management of Type 2 Diabetes
Wang, Y., Alkhalidy, H., & Liu, D. (2021) · Molecules · doi:10.3390/molecules26030703 · Cited by 88
Dietary Regulation of Gut-Brain Axis in Alzheimer’s Disease: Importance of Microbiota Metabolites
Frausto, D. M., Forsyth, C. B., Keshavarzian, A., & Voigt, R. M. (2021) · Frontiers in Neuroscience · doi:10.3389/fnins.2021.736814 · Cited by 61
Different Flavonoids Can Shape Unique Gut Microbiota Profile In Vitro
Huang, J., Chen, L., Xue, B., Liu, Q., Ou, S., Wang, Y., & Peng, X. (2016) · Journal of Food Science · doi:10.1111/1750-3841.13411 · Cited by 52
Gamage, H. K. A. H., Tetu, S. G., Chong, R. W. W., Bucio-Noble, D., Rosewarne, C. P., Kautto, L., Ball, M. S., Molloy, M. P., Packer, N. H., & Paulsen, I. T. (2018) · Frontiers in Microbiology · doi:10.3389/fmicb.2018.01618 · Cited by 49
Metadata
- Authors
- Tzounis, X., Vulevic, J., Kuhnle, G. G. C., George, T., Leonczak, J., Gibson, G. R., Kwik-Uribe, C., & Spencer, J. P. E.
- Venue
- British Journal of Nutrition
- Publisher
- Cambridge University Press (CUP)
- Published
- 2007-11-01
- Volume
- 99
- Issue
- 4
- Pages
- 782-792
- ISSN
- 0007-1145 (ISSN-L)
- 1475-2662
- OpenAlex
- W2134801225
- Cited by
- 454
- References
- 5
- FWCI
- 3.23
- Type
- journal article
- Language
- en
- Open access
- bronze
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