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Long-Term Coffee Consumption is Associated with Fecal Microbial Composition in Humans

González, Sonia, Salazar, Nuria, Ruiz-Saavedra, Sergio, Gómez-Martín, María, de los Reyes-Gavilán, Clara G., Gueimonde, Miguel·2020·Nutrients
DOI 10.3390/nu12051287
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Abstract

Coffee consumption has been related to a preventive effect against several non-transmissible pathologies. Due to the content of this beverage in phytochemicals and minerals, it has been proposed that its impact on health may partly depend on gut microbiota modulation. Our aim was to explore the interaction among gut microbiota, fecal short chain fatty acids, and health-related parameters in 147 healthy subjects classified according to coffee consumption, to deepen the association of the role of the (poly)phenol and alkaloid content of this beverage. Food daily intake was assessed by an annual food frequency questionnaire (FFQ). Coffee consumption was categorized into three groups: non-coffee-consumers (0–3 mL/day), moderate consumers (3–45 mL/day) and high-coffee consumers (45–500 mL/day). Some relevant groups of the gut microbiota were determined by qPCR, and concentration of fecal short chain fatty acids by gas chromatography. Serum health related biomarkers were determined by standardized methods. Interestingly, a higher level of Bacteroides–Prevotella–Porphyromonas was observed in the high consumers of coffee, who also had lower levels of lipoperoxidation. Two groups of coffee-derived (poly)phenol, methoxyphenols and alkylphenols, and caffeine, among alkaloids, were directly associated with Bacteroides group levels. Thus, regular consumption of coffee appears to be associated with changes in some intestinal microbiota groups in which dietary (poly)phenol and caffeine may play a role.

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Research works printed but not linked: 42

  1. Mubarak, 2012, Acute effects of chlorogenic acid on nitric oxide status, endothelial function, and blood pressure in healthy volunteers: A randomized trial, J. Agric. Food Chem., 60, 9130, 10.1021/jf303440j · DOI
  2. Park, 2019, Mechanisms of action of coffee bioactive components on lipid metabolism, Food Sci. Biotechnol., 28, 1287, 10.1007/s10068-019-00662-0 · DOI
  3. DiNicolantonio, 2018, Coffee for cardioprotection and longevity, Prog. Cardiovasc. Dis., 61, 38, 10.1016/j.pcad.2018.02.002 · DOI
  4. Grosso, 2017, Coffee, Caffeine, and health outcomes: An umbrella review, Annu. Rev. Nutr., 37, 131, 10.1146/annurev-nutr-071816-064941 · DOI · Paper page
  5. 2005, Is coffee a functional food?, Br. J. Nutr., 93, 773, 10.1079/BJN20051370 · DOI
  6. Poole, 2017, Coffee consumption and health: Umbrella review of meta-analyses of multiple health outcomes, BMJ, 359, j5024, 10.1136/bmj.j5024 · DOI · Paper page
  7. Brown, 1990, Effect of coffee on distal colon function, Gut, 31, 450, 10.1136/gut.31.4.450 · DOI · Paper page
  8. Jaquet, 2009, Impact of coffee consumption on the gut microbiota: A human volunteer study, Int. J. Food Microbiol., 130, 117, 10.1016/j.ijfoodmicro.2009.01.011 · DOI · Paper page
  9. Mills, 2015, In vitro colonic metabolism of coffee and chlorogenic acid results in selective changes in human faecal microbiota growth, Br. J. Nutr., 113, 1220, 10.1017/S0007114514003948 · DOI · Paper page
  10. Salvucci, 2019, The human-microbiome superorganism and its modulation to restore health, Int. J. Food Sci. Nutr., 70, 781, 10.1080/09637486.2019.1580682 · DOI
  11. Nakayama, 2013, Influence of coffee ( Coffea arabica ) and galacto-oligosaccharide consumption on intestinal microbiota and the host responses, FEMS Microbiol. Lett., 343, 161, 10.1111/1574-6968.12142 · DOI · Paper page
  12. Khokhlova, 2012, Anti-inflammatory properties of intestinal Bifidobacterium strains isolated from healthy infants, Microbiol. Immunol., 56, 27, 10.1111/j.1348-0421.2011.00398.x · DOI · Paper page
  13. Gniechwitz, 2007, Dietary fiber from coffee beverage: Degradation by human fecal microbiota, J. Agric. Food Chem., 55, 6989, 10.1021/jf070646b · DOI · Paper page
  14. Moresco, 2018, Guarana (Paullinia cupana Mart.) alters gut microbiota and modulates redox status, partially via caffeine in Wistar rats, Phyther. Res., 32, 2466, 10.1002/ptr.6185 · DOI
  15. Yamamoto, 2014, Theobromine enhances absorption of cacao polyphenol in rats, Biosci. Biotechnol. Biochem., 78, 2059, 10.1080/09168451.2014.942252 · DOI
  16. Cuervo, 2014, Pilot study of diet and microbiota: Interactive associations of fibers and polyphenols with human intestinal bacteria, J. Agric. Food Chem., 62, 5330, 10.1021/jf501546a · DOI
  17. Cuervo, 2015, Red wine consumption is associated with fecal microbiota and malondialdehyde in a human population, J. Am. Coll. Nutr., 34, 135, 10.1080/07315724.2014.904763 · DOI
  18. Neveu, 2010, Phenol-Explorer: An online comprehensive database on polyphenol contents in foods, Database, 2010, bap024, 10.1093/database/bap024 · DOI · Paper page
  19. Marlett, 1997, Database and quick methods of assessing typical dietary fiber intakes using data for 228 commonly consumed foods, J. Am. Diet. Assoc., 97, 1139, 10.1016/S0002-8223(97)00275-7 · DOI
  20. Gueimonde, 2019, Exploring the interactions between serum free fatty acids and fecal microbiota in obesity through a machine learning algorithm, Food Res. Int., 121, 533, 10.1016/j.foodres.2018.12.009 · DOI
  21. Erdelmeier, 1998, Reactions of 1-Methyl-2-phenylindole with Malondialdehyde and 4-Hydroxyalkenals. Analytical applications to a colorimetric assay of lipid peroxidation, Chem. Res. Toxicol., 11, 1176, 10.1021/tx970180z · DOI · Paper page
  22. Nogacka, A.M., Salazar, N., Arboleya, S., Ruas-Madiedo, P., Mancabelli, L., Suarez, A., Martinez-Faedo, C., Ventura, M., Tochio, T., and Hirano, K. (2020). In vitro evaluation of different prebiotics on the modulation of gut microbiota composition and function in morbid obese and normal-weight subjects. Int. J. Mol. Sci., 21. · DOI
  23. Valdes, 2017, Selections of potential probiotic bifidobacteria and prebiotics for elderly by using in vitro fecal batch cultures, Eur. Food. Res. Technol., 243, 157, 10.1007/s00217-016-2732-y · DOI
  24. Salazar, 2008, Exopolysaccharides produced by intestinal bifidobacterium strains act as fermentable substrates for human intestinal bacteria, Appl. Environ. Microbiol., 74, 4737, 10.1128/AEM.00325-08 · DOI
  25. Rothwell, 2019, A metabolomic study of biomarkers of habitual coffee intake in four european countries, Mol. Nutr. Food Res., 63, 1900659, 10.1002/mnfr.201900659 · DOI
  26. Chrysant, 2017, The impact of coffee consumption on blood pressure, cardiovascular disease and diabetes mellitus, Expert Rev. Cardiovasc. Ther., 15, 151, 10.1080/14779072.2017.1287563 · DOI
  27. Grosso, G., Micek, A., Godos, J., Pajak, A., Sciacca, S., Bes-Rastrollo, M., Galvano, F., and Martinez-Gonzalez, M. (2017). Long-term coffee consumption is associated with decreased incidence of new-onset hypertension: A dose–response meta-analysis. Nutrients, 9. · DOI
  28. Santos, 2016, Coffee consumption, obesity and type 2 diabetes: A mini-review, Eur. J. Nutr., 55, 1345, 10.1007/s00394-016-1206-0 · DOI
  29. Ley, 2005, Obesity alters gut microbial ecology, Proc. Natl. Acad. Sci. USA, 102, 11070, 10.1073/pnas.0504978102 · DOI · Paper page
  30. Ley, 2006, Human gut microbes associated with obesity, Nature, 444, 1022, 10.1038/4441022a · DOI · Paper page
  31. Bhandarkar, 2020, Modulation of gut microbiota by spent coffee grounds attenuates diet-induced metabolic syndrome in rats, FASEB J., 34, 4783, 10.1096/fj.201902416RR · DOI · Paper page
  32. Williamson, 2010, Colonic metabolites of berry polyphenols: The missing link to biological activity?, Br. J. Nutr., 104, S48, 10.1017/S0007114510003946 · DOI · Paper page
  33. Aura, 2005, In vitro metabolism of anthocyanins by human gut microflora, Eur. J. Nutr., 44, 133, 10.1007/s00394-004-0502-2 · DOI
  34. Aura, 2008, Microbial metabolism of dietary phenolic compounds in the colon, Phytochem. Rev., 7, 407, 10.1007/s11101-008-9095-3 · DOI
  35. Couteau, 2001, Isolation and characterization of human colonic bacteria able to hydrolyse chlorogenic acid, J. Appl. Microbiol., 90, 873, 10.1046/j.1365-2672.2001.01316.x · DOI
  36. Martini, D., Del Bo’, C., Tassotti, M., Riso, P., Del Rio, D., Brighenti, F., and Porrini, M. (2016). Coffee consumption and oxidative stress: A review of human intervention studies. Molecules, 21. · DOI
  37. Cowan, 2014, Chronic coffee consumption in the diet-induced obese rat: Impact on gut microbiota and serum metabolomics, J. Nutr. Biochem., 25, 489, 10.1016/j.jnutbio.2013.12.009 · DOI · Paper page
  38. Baek, 2017, Kahweol inhibits lipid accumulation and induces Glucose-uptake through activation of AMP-activated protein kinase (AMPK), BMB Rep., 50, 566, 10.5483/BMBRep.2017.50.11.031 · DOI
  39. Oshiro, 2018, Green coffee bean extract and 5-O-caffeoylquinic acid regulate fat metabolism in caenorhabditis elegans, J. Funct. Foods, 48, 586, 10.1016/j.jff.2018.07.049 · DOI
  40. Lally, 2012, Caffeine-stimulated fatty acid oxidation is blunted in CD36 null mice, Acta Physiol., 205, 71, 10.1111/j.1748-1716.2012.02396.x · DOI
  41. Su, 2013, Caffeine inhibits adipogenic differentiation of primary adipose-derived stem cells and bone marrow stromal cells, Toxicol. In Vitro, 27, 1830, 10.1016/j.tiv.2013.05.011 · DOI
  42. Topping, 2001, Short-chain fatty acids and human colonic function: Roles of resistant starch and nonstarch polysaccharides, Physiol. Rev., 81, 1031, 10.1152/physrev.2001.81.3.1031 · DOI · Paper page

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Metadata

Authors
González, S., Salazar, N., Ruiz-Saavedra, S., Gómez-Martín, M., de los Reyes-Gavilán, C. G., & Gueimonde, M.
Venue
Nutrients
Publisher
MDPI AG
Published
2020-05-01
Volume
12
Issue
5
Pages
1287
ISSN
2072-6643
DOI
10.3390/nu12051287
Cited by
96
References
6
Language
en
Licence
creativecommons.org/licenses/by/4.0/ (vor)
Funders
  • Agencia Estatal de Investigación (AGL2017-83653R)
  • Ministerio de Ciencia, Innovación y Universidades (RTI2018-098288BI00)

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CoChat. (2026). Citation check: Long-Term Coffee Consumption is Associated with Fecal Microbial Composition in Humans. https://app.cochat.ai/papers/10.3390/nu12051287
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González, S., Salazar, N., Ruiz-Saavedra, S., Gómez-Martín, M., de los Reyes-Gavilán, C. G., & Gueimonde, M. (2020). Long-Term Coffee Consumption is Associated with Fecal Microbial Composition in Humans. Nutrients. https://doi.org/10.3390/nu12051287

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