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Cited by 49Gut microbiota and healthMicrobial Metabolites in Food BiotechnologyFood composition and properties

Fiber Supplements Derived From Sugarcane Stem, Wheat Dextrin and Psyllium Husk Have Different In Vitro Effects on the Human Gut Microbiota

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Gamage, Hasinika K. A. H., Tetu, Sasha G., Chong, Raymond W. W., Bucio-Noble, Daniel, Rosewarne, Carly P., Kautto, Liisa, Ball, Malcolm S., Molloy, Mark P. +2 more·2018·Frontiers in Microbiology
DOI 10.3389/fmicb.2018.01618PMC PMC6060387
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Abstract

There is growing public interest in the use of fibre supplements as a way of increasing dietary fibre intake and potentially improving the gut microbiota composition and digestive health. However, currently there is limited research into the effects of commercially available fibre supplements on the gut microbiota. Here we used an in vitro human digestive and gut microbiota model system to investigate the effect of three commercial fibre products; NutriKane™, Benefiber® and Psyllium husk (Macro) on the adult gut microbiota. The 16S rRNA gene amplicon sequencing results showed dramatic fibre-dependent changes in the gut microbiota structure and composition. Specific bacterial OTUs within the families Bacteroidaceae, Porphyromonadaceae, Ruminococcaceae, Lachnospiraceae and Bifidobacteriaceae showed an increase in the relative abundances in the presence of one or more fibre product(s), while Enterobacteriaceae and Pseudomonadaceae showed a reduction in the relative abundances upon addition of all fibre treatments compared to the no added fibre control. Fibre-specific increases in SCFA concentrations showed correlation with the relative abundance of potential SCFA-producing gut bacteria. The chemical composition, antioxidant potential and polyphenolic content profiles of each fibre product were determined and found to be highly variable. Observed product-specific variations could be linked to differences in the chemical composition of the fibre products. The general nature of the fibre-dependent impact was relatively consistent across the individuals, which may demonstrate the potential of the products to alter the gut microbiota in a similar, and predictable direction, despite variability in the starting composition of the individual gut microbiota.

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  • g_Parabacteroides is enriched by increases in dietary fiber and can digest chemically modified starch.

    “The number of g_Parabacteroides is enriched by increases in dietary fiber [61], and g_Parabacteroides can digest starch that has been chemically modified [62].”

    From Preventive Effects and Mechanisms of Garlic on Dyslipidemia and Gut Microbiome Dysbiosis (2019) · cites this paper as [62]

    The Results ('Effects of fiber addition on microbiota composition') report increased relative abundance of Parabacteroides OTUs after Benefiber addition, and the Discussion reports increases with Benefiber and psyllium husk. The Discussion also says members of the genus, particularly P. distasonis, have been shown to digest chemically modified starch. The claim is broader than these findings: the enrichment was observed with specific fiber products in vitro, not with dietary-fiber increases generally. (LLM, conf=0.84)

    Experimental — accuracy not yet measured

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  1. Aguirre M. Eck A. Koenen M. E. Savelkoul P. H. Budding A. E. Venema K. (2016). Diet drives quick changes in the metabolic activity and composition of human gut microbiota in a validated in vitro gut model. Res. Microbiol. 167, 114– 125. 10.1016/j.resmic.2015.09.006 26499094 · DOI · Paper page
  2. Arumugam M. Raes J. Pelletier E. Le Paslier D. Yamada T. Mende D. R.. (2011). Enterotypes of the human gut microbiome. Nature 473, 174– 180. 10.1038/nature09944 21508958 PMC3728647 · DOI · Paper page
  3. Bäckhed F. Ley R. E. Sonnenburg J. L. Peterson D. A. Gordon J. I. (2005). Host-bacterial mutualism in the human intestine. Science 307, 1915– 1920. 10.1126/science.1104816 15790844 · DOI · Paper page
  4. Balch W. E. Fox G. E. Magrum L. J. Woese C. R. Wolfe R. S. (1979). Methanogens: Reevaluation of a unique biological group. Microbiol. Rev. 43, 260– 296. 390357 PMC281474
  5. Benzie I. F. Strain J. J. (1996). The ferric reducing ability of plasma (FRAP) as a measure of “antioxidant power”: The FRAP assay. Anal. Biochem. 239, 70– 76. 8660627
  6. Bonaccio M. Pounis G. Cerletti C. Donati M. B. Iacoviello L. de Gaetano G. (2016). Mediterranean diet, dietary polyphenols and low-grade inflammation: results from the MOLI-SANI study. Br. J. Clin. Pharmacol. 83, 107– 113. 10.1111/bcp.12924 26935858 PMC5338145 · DOI
  7. Bussolo de Souza C. Roeselers G. Troost F. Jonkers D. Koenen M. E. Venema K. (2014). Prebiotic effects of cassava bagasse in TNO's in vitro model of the colon in lean versus obese microbiota. J. Funct. Foods 11, 210– 220. 10.1016/j.jff.2014.09.019 · DOI
  8. Caporaso J. G. Kuczynski J. Stombaugh J. Bittinger K. Bushman F. D. Costello E. K.. (2010). QIIME allows analysis of high-throughput community sequencing data. Nat. Methods 7, 335– 336. 10.1038/nmeth.f.303 20383131 PMC3156573 · DOI · Paper page
  9. Caporaso J. G. Lauber C. L. Walters W. A. Berg-Lyons D. Huntley J. Fierer N.. (2012). Ultra-high-throughput microbial community analysis on the Illumina HiSeq and MiSeq platforms. ISME J. 6, 1621– 1624. 10.1038/ismej.2012.8 22402401 PMC3400413 · DOI · Paper page
  10. Caporaso J. G. Lauber C. L. Walters W. A. Berg-Lyons D. Lozupone C. A. Turnbaugh P. J.. (2011). Global patterns of 16S rRNA diversity at a depth of millions of sequences per sample. Proc. Natl. Acad. Sci. U.S.A. 108, 4516– 4522. 10.1073/pnas.1000080107 20534432 PMC3063599 · DOI
  11. Carlson J. Hospattankar A. Deng P. Swanson K. Slavin J. (2015). Prebiotic effects and fermentation kinetics of wheat dextrin and partially hydrolyzed guar gum in an in vitro batch fermentation system. Foods 4, 349– 358. 10.3390/foods4030349 28231210 PMC5224541 · DOI
  12. Chassard C. Delmas E. Robert C. Bernalier-Donadille A. (2010). The cellulose-degrading microbial community of the human gut varies according to the presence or absence of methanogens. FEMS Microbiol. Ecol. 74, 205– 213. 10.1111/j.1574-6941.2010.00941.x 20662929 · DOI
  13. Cheng D. M. Roopchand D. E. Poulev A. Kuhn P. Armas I. Johnson W. D.. (2016). High phenolics Rutgers Scarlet Lettuce improves glucose metabolism in high fat diet-induced obese mice. Mol. Nutr. Food Res. 60, 2367– 2378. 10.1002/mnfr.201600290 27529448 PMC5240636 · DOI
  14. Chung W. S. Walker A. W. Louis P. Parkhill J. Vermeiren J. Bosscher D. (2016). Modulation of the human gut microbiota by dietary fibres occurs at the species level. BMC Biol. 14: 3 10.1186/s12915-015-0224-3 26754945 PMC4709873 · DOI · Paper page
  15. Cockburn D. W. Koropatkin N. M. (2016). Polysaccharide degradation by the intestinal microbiota and its influence on human health and disease. J. Mol. Biol. 428, 3230– 3252. 10.1016/j.jmb.2016.06.021 27393306 · DOI
  16. Condezo-Hoyos L. Mohanty I. P. Noratto G. D. (2014). Assessing non-digestible compounds in apple cultivars and their potential as modulators of obese faecal microbiota in vitro. Food Chem. 161, 208– 215. 10.1016/j.foodchem.2014.03.122 24837942 · DOI
  17. Conlon M. A. Bird A. R. (2015). The impact of diet and lifestyle on gut microbiota and human health. Nutrients 7, 17– 44. 10.3390/nu7010017 25545101 PMC4303825 · DOI · Paper page
  18. Cordain L. Eaton S. B. Sebastian A. Mann N. Lindeberg S. Watkins B. A.. (2005). Origins and evolution of the Western diet: health implications for the 21st century. Am. J. Clin. Nutr. 81, 341– 354. 10.1093/ajcn.81.2.341 15699220 · DOI · Paper page
  19. Cordonnier C. Thévenot J. Etienne-Mesmin L. Denis S. Alric M. Livrelli V.. (2015). Dynamic in vitro models of the human gastrointestinal tract as relevant tools to assess the survival of probiotic strains and their interactions with gut microbiota. Microorganisms 3, 725– 745. 10.3390/microorganisms3040725 27682114 PMC5023271 · DOI
  20. David L. A. Maurice C. F. Carmody R. N. Gootenberg D. B. Button J. E. Wolfe B. E.. (2014). Diet rapidly and reproducibly alters the human gut microbiome. Nature 505, 559– 563. 10.1038/nature12820 24336217 PMC3957428 · DOI · Paper page
  21. De Filippo C. Cavalieri D. Di Paola M. Ramazzotti M. Poullet J. B. Massart S.. (2010). Impact of diet in shaping gut microbiota revealed by a comparative study in children from Europe and rural Africa. Proc. Natl. Acad. Sci. U.S. A. 107, 14691– 14696. 10.1073/pnas.1005963107 20679230 PMC2930426 · DOI · Paper page
  22. Delzenne N. M. Neyrinck A. M. Cani P. D. (2013). Gut microbiota and metabolic disorders: How prebiotic can work? Br. J. Nutr. 2(Suppl. 109), S81– 85. 10.1017/S0007114512004047 23360884 · DOI
  23. DeSantis T. Z. Hugenholtz P. Larsen N. Rojas M. Brodie E. L. Keller K.. (2006). Greengenes, a chimera-checked 16S rRNA gene database and workbench compatible with ARB. Appl. Environ. Microbiol. 72, 5069– 5072. 10.1128/AEM.03006-05 16820507 PMC1489311 · DOI · Paper page
  24. Doré J. Blottiére H. (2015). The influence of diet on the gut microbiota and its consequences for health. Curr. Opin. Biotechnol. 32, 195– 199. 10.1016/j.copbio.2015.01.002 25615931 · DOI
  25. Dueñas M. Muñoz-González I. Cueva C. Jiménez-Girón A. Sánchez-Patán F. Santos-Buelga C. (2015). A survey of modulation of gut microbiota by dietary polyphenols. Biomed. Res. Int. 2015: 850902 10.1155/2015/850902 25793210 PMC4352430 · DOI · Paper page
  26. Duncan S. H. Louis P. Thomson J. M. Flint H. J. (2009). The role of pH in determining the species composition of the human colonic microbiota. Environ. Microbiol. 11, 2112– 2122. 10.1111/j.1462-2920.2009.01931.x 19397676 · DOI · Paper page
  27. Eckburg P. B. Bik E. M. Bernstein C. N. Purdom E. Dethlefsen L. Sargent M.. (2005). Diversity of the human intestinal microbial flora. Science 308, 1635– 1638. 10.1126/science.1110591 15831718 PMC1395357 · DOI · Paper page
  28. Fischer M. H. Yu N. Gray G. R. Ralph J. Anderson L. Marlett J. A. (2004). The gel-forming polysaccharide of psyllium husk (Plantago ovata Forsk). Carbohydr. Res. 339, 2009– 2017. 10.1016/j.carres.2004.05.023 15261594 · DOI
  29. Flint H. J. Scott K. P. Duncan S. H. Louis P. Forano E. (2012). Microbial degradation of complex carbohydrates in the gut. Gut Microbes 3, 289– 306. 10.4161/gmic.19897 22572875 PMC3463488 · DOI · Paper page
  30. Frank D. N. St Amand A. L. Feldman R. A. Boedeker E. C. Harpaz N. Pace N. R. (2007). Molecular-phylogenetic characterization of microbial community imbalances in human inflammatory bowel diseases. Proc. Natl. Acad. Sci. U.S.A. 104, 13780– 13785. 10.1073/pnas.0706625104 17699621 PMC1959459 · DOI · Paper page
  31. Gamage H. Tetu S. G. Chong R. W. W. Ashton J. Packer N. H. Paulsen I. T. (2017). Cereal products derived from wheat, sorghum, rice and oats alter the infant gut microbiota in vitro. Sci. Rep. 7: 14312. 10.1038/s41598-017-14707-z 29085002 PMC5662621 · DOI
  32. Gillings M. R. (2014). Rapid extraction of PCR-competent DNA from recalcitrant environmental samples. Methods Mol. Biol. 1096, 17– 23. 10.1007/978-1-62703-712-9_2 24515357 · DOI
  33. González R. Ballester I. López-Posadas R. Suárez M. D. Zarzuelo A. Mart'ınez-Augustin O.. (2011). Effects of flavonoids and other polyphenols on inflammation. Crit. Rev. Food Sci. Nutr. 51, 331– 362. 10.1080/10408390903584094 21432698 · DOI
  34. González-Gallego J. García-Mediavilla M. V. Sánchez-Campos S. Tuñon M. J. (2010). Fruit polyphenols, immunity and inflammation. Br. J. Nutr. 3(Suppl. 104), S15– 27. 10.1017/S0007114510003910 20955647 · DOI · Paper page
  35. Grimaldi R. Swann J. R. Vulevic J. Gibson G. R. Costabile A. (2016). Fermentation properties and potential prebiotic activity of Bimuno(R) galacto-oligosaccharide (65% galacto-oligosaccharide content) on in vitro gut microbiota parameters. Br. J. Nutr. 116, 480– 486. 10.1017/S0007114516002269 27267934 PMC4937186 · DOI
  36. Hamaker B. R. Tuncil Y. E. (2014). A perspective on the complexity of dietary fiber structures and their potential effect on the gut microbiota. J. Mol. Biol. 426, 3838– 3850. 10.1016/j.jmb.2014.07.028 25088686 · DOI
  37. Hemsworth G. R. Dejean G. Davies G. J. Brumer H. (2016). Learning from microbial strategies for polysaccharide degradation. Biochem. Soc. Trans. 44, 94– 108. 10.1042/BST20150180 26862194 · DOI
  38. Hervert-Hernández D. Goñi I. (2011). Dietary polyphenols and human gut microbiota: A review. Food Rev. Int. 27, 154– 169. 10.1080/87559129.2010.535233 · DOI
  39. Hoang N. V. Furtado A. Donnan L. Keeffe E. C. Botha F. C. Henry R. J. (2016). High-throughput profiling of the fiber and sugar composition of sugarcane biomass. BioEnergy Res. 10, 400– 416. 10.1007/s12155-016-9801-8 · DOI
  40. Hobden M. R. Martin-Morales A. Guérin-Deremaux L. Wils D. Costabile A. Walton G. E.. (2013). In vitro fermentation of NUTRIOSE(R) FB06, a wheat dextrin soluble fibre, in a continuous culture human colonic model system. PLoS ONE 8: e77128. 10.1371/journal.pone.0077128 24204753 PMC3811981 · DOI
  41. Janssen A. W. Kersten S. (2015). The role of the gut microbiota in metabolic health. FASEB J. 29, 3111– 3123. 10.1096/fj.14-269514 25921831 · DOI
  42. Johnson L. P. Walton G. E. Psichas A. Frost G. S. Gibson G. R. Barraclough T. G. (2015). Prebiotics modulate the effects of antibiotics on gut microbial diversity and functioning in vitro. Nutrients 7, 4480– 4497. 10.3390/nu7064480 26053617 PMC4488797 · DOI
  43. Karlsson F. H. Tremaroli V. Nookaew I. Bergstrom G. Behre C. J. Fagerberg B.. (2013). Gut metagenome in European women with normal, impaired and diabetic glucose control. Nature 498, 99– 103. 10.1038/nature12198 23719380 · DOI · Paper page
  44. Kelder T. Stroeve J. H. Bijlsma S. Radonjic M. Roeselers G. (2014). Correlation network analysis reveals relationships between diet-induced changes in human gut microbiota and metabolic health. Nutr. Diabetes 4: e122. 10.1038/nutd.2014.18 24979151 PMC4079927 · DOI
  45. Knip M. Siljander H. (2016). The role of the intestinal microbiota in type 1 diabetes mellitus. Nat. Rev. Endocrinol. 12, 154– 167. 10.1038/nrendo.2015.218 26729037 · DOI
  46. Koh A. De Vadder F. Kovatcheva-Datchary P. Backhed F. (2016). From Dietary Fiber to Host Physiology: Short-Chain Fatty Acids as Key Bacterial Metabolites. Cell 165, 1332– 1345. 10.1016/j.cell.2016.05.041 27259147 · DOI · Paper page
  47. Koppel N. Balskus E. P. (2016). Exploring and understanding the biochemical diversity of the human microbiota. Cell Chem. Biol. 23, 18– 30. 10.1016/j.chembiol.2015.12.008 26933733 · DOI
  48. Kovatcheva-Datchary P. Nilsson A. Akrami R. Lee Y. S. De Vadder F. Arora T.. (2015). Dietary fiber-induced improvement in glucose metabolism is associated with increased abundance of prevotella. Cell Metab. 22, 971– 982. 10.1016/j.cmet.2015.10.001 26552345 · DOI · Paper page
  49. Le Chatelier E. Nielsen T. Qin J. Prifti E. Hildebrand F. Falony G.. (2013). Richness of human gut microbiome correlates with metabolic markers. Nature 500, 541– 546. 10.1038/nature12506 23985870 · DOI · Paper page
  50. Licht T. R. Hansen M. Bergström A. Poulsen M. Krath B. N. Markowski J. (2010). Effects of apples and specific apple components on the cecal environment of conventional rats: role of apple pectin. BMC Microbiol. 10: 13 10.1186/1471-2180-10-13 20089145 PMC2822772 · DOI
  51. Lin A. Bik E. M. Costello E. K. Dethlefsen L. Haque R. Relman D. A.. (2013). Distinct distal gut microbiome diversity and composition in healthy children from Bangladesh and the United States. PLoS ONE 8: e53838. 10.1371/journal.pone.0053838 23349750 PMC3551965 · DOI · Paper page
  52. Lozupone C. A. Stombaugh J. I. Gordon J. I. Jansson J. K. Knight R. (2012). Diversity, stability and resilience of the human gut microbiota. Nature 489, 220– 230. 10.1038/nature11550 22972295 PMC3577372 · DOI · Paper page
  53. Martínez I. Kim J. Duffy P. R. Schlegel V. L. Walter J. (2010). Resistant starches types 2 and 4 have differential effects on the composition of the fecal microbiota in human subjects. PLoS ONE 5: e15046. 10.1371/journal.pone.0015046 21151493 PMC2993935 · DOI · Paper page
  54. McDonald J. A. Schroeter K. Fuentes S. Heikamp-Dejong I. Khursigara C. M. de Vos W. M.. (2013). Evaluation of microbial community reproducibility, stability and composition in a human distal gut chemostat model. J. Microbiol. Methods 95, 167– 174. 10.1016/j.mimet.2013.08.008 23994646 · DOI
  55. McRorie J. W. Jr. (2015). Evidence-based approach to fiber supplements and clinically meaningful health benefits, part 2: What to look for and how to recommend an effective fiber therapy. Nutr. Today 50, 90– 97. 10.1097/NT.0000000000000089 25972619 PMC4415970 · DOI
  56. Minekus M. Alminger M. Alvito P. Ballance S. Bohn T. Bourlieu C.. (2014). A standardised static in vitro digestion method suitable for food - an international consensus. Food Funct. 5, 1113– 1124. 10.1039/C3FO60702J 24803111 · DOI · Paper page
  57. Morgan X. C. Tickle T. L. Sokol H. Gevers D. Devaney K. L. Ward D. V.. (2012). Dysfunction of the intestinal microbiome in inflammatory bowel disease and treatment. Genome Biol. 13: R79. 10.1186/gb-2012-13-9-r79 23013615 PMC3506950 · DOI · Paper page
  58. Noack J. Timm D. Hospattankar A. Slavin J. (2013). Fermentation profiles of wheat dextrin, inulin and partially hydrolyzed guar gum using an in vitro digestion pretreatment and in vitro batch fermentation system model. Nutrients 5, 1500– 1510. 10.3390/nu5051500 23645025 PMC3708332 · DOI
  59. O'Keefe S. J. Li J. V. Lahti L. Ou J. Carbonero F. Mohammed K.. (2015). Fat, fibre and cancer risk in African Americans and rural Africans. Nat. Commun. 6: 6342. 10.1038/ncomms7342 25919227 PMC4415091 · DOI · Paper page
  60. Ott S. J. (2004). Reduction in diversity of the colonic mucosa associated bacterial microflora in patients with active inflammatory bowel disease. Gut 53, 685– 693. 10.1136/gut.2003.025403 15082587 PMC1774050 · DOI · Paper page
  61. Ozdal T. Sela D. A. Xiao J. Boyacioglu D. Chen F. Capanoglu E. (2016). The reciprocal interactions between polyphenols and gut microbiota and effects on bioaccessibility. Nutrients 8: 78. 10.3390/nu8020078 26861391 PMC4772042 · DOI
  62. Papa E. Docktor M. Smillie C. Weber S. Preheim S. P. Gevers D.. (2012). Non-invasive mapping of the gastrointestinal microbiota identifies children with inflammatory bowel disease. PLoS ONE 7: e39242. 10.1371/journal.pone.0039242 22768065 PMC3387146 · DOI
  63. Payne A. N. Zihler A. Chassard C. Lacroix C. (2012). Advances and perspectives in in vitro human gut fermentation modeling. Trends Biotechnol. 30, 17– 25. 10.1016/j.tibtech.2011.06.011 21764163 · DOI
  64. Rastall R. A. Gibson G. R. (2015). Recent developments in prebiotics to selectively impact beneficial microbes and promote intestinal health. Curr. Opin. Biotechnol. 32, 42– 46. 10.1016/j.copbio.2014.11.002 25448231 · DOI
  65. Rosewarne C. P. Pope P. B. Denman S. E. McSweeney C. S. O'Cuiv P. Morrison M. (2011). High-yield and phylogenetically robust methods of DNA recovery for analysis of microbial biofilms adherent to plant biomass in the herbivore gut. Microb. Ecol. 61, 448– 454. 10.1007/s00248-010-9745-z 20838785 · DOI
  66. Saad N. Delattre C. Urdaci M. Schmitter J. M. Bressollier P. (2013). An overview of the last advances in probiotic and prebiotic field. LWT-Food Sci. Technol. 50, 1– 16. 10.1016/j.lwt.2012.05.014 · DOI
  67. Sanchez J. I. Marzorati M. Grootaert C. Baran M. Van Craeyveld V. Courtin C. M.. (2009). Arabinoxylan-oligosaccharides (AXOS) affect the protein/carbohydrate fermentation balance and microbial population dynamics of the Simulator of Human Intestinal Microbial Ecosystem. Microb. Biotechnol. 2, 101– 113. 10.1111/j.1751-7915.2008.00064.x 21261885 PMC3815425 · DOI
  68. Scheifinger C. C. Linehan B. Wolin M. J. (1974). H2 production by Selenomonas ruminantium in the absence and presence of methanogenic bacteria. Appl. Microbiol. 29, 480– 483. 804850 PMC187010
  69. Scheller H. V. Ulvskov P. (2010). Hemicelluloses. Annu. Rev. Plant Biol. 61, 263– 289. 10.1146/annurev-arplant-042809-112315 20192742 · DOI
  70. Schnorr S. L. Candela M. Rampelli S. Centanni M. Consolandi C. Basaglia G.. (2014). Gut microbiome of the Hadza hunter-gatherers. Nat. Commun. 5: 3654. 10.1038/ncomms4654 24736369 PMC3996546 · DOI · Paper page
  71. Segata N. Izard J. Waldron L. Gevers D. Miropolsky L. Garrett W. S.. (2011). Metagenomic biomarker discovery and explanation. Genome Biol. 12: R60. 10.1186/gb-2011-12-6-r60 21702898 PMC3218848 · DOI · Paper page
  72. Shapiro H. Singer P. Halpern Z. Bruck R. (2007). Polyphenols in the treatment of inflammatory bowel disease and acute pancreatitis. Gut 56, 426– 435. 10.1136/gut.2006.094599 16931577 PMC1856830 · DOI
  73. Shin N. R. Whon T. W. Bae J. W. (2015). Proteobacteria: microbial signature of dysbiosis in gut microbiota. Trends Biotechnol. 33, 496– 503. 10.1016/j.tibtech.2015.06.011 26210164 · DOI · Paper page
  74. Slavin J. (2013). Fiber and prebiotics: mechanisms and health benefits. Nutrients 5, 1417– 1435. 10.3390/nu5041417 23609775 PMC3705355 · DOI · Paper page
  75. Sokol H. Pigneur B. Watterlot L. Lakhdari O. Bermudez-Humaran L. G. Gratadoux J. J.. (2008). Faecalibacterium prausnitzii is an anti-inflammatory commensal bacterium identified by gut microbiota analysis of Crohn disease patients. Proc. Natl. Acad. Sci. U.S.A. 105, 16731– 16736. 10.1073/pnas.0804812105 18936492 PMC2575488 · DOI · Paper page
  76. Sun J. X Sun X.F Sun R. C Fowler P Baird M. S (2003). Inhomogeneities in the chemical structure of sugarcane bagasse lignin. J. Agric. Food Chem. 51, 6719– 6725. 10.1021/jf034633j 14582966 · DOI
  77. Sun J. X. Sun X. F. Sun R. C. Su Y. Q. (2004). Fractional extraction and structural characterization of sugarcane bagasse hemicelluloses. Carbohydr. Res. 56, 195– 204. 10.1016/j.carbpol.2004.02.002 14698887 · DOI
  78. Tremaroli V. Bäckhed F. (2012). Functional interactions between the gut microbiota and host metabolism. Nature 489, 242– 249. 10.1038/nature11552 22972297 · DOI · Paper page
  79. Turnbaugh P. J. Hamady M. Yatsunenko T. Cantarel B. L. Duncan A. Ley R. E.. (2009). A core gut microbiome in obese and lean twins. Nature 457, 480– 484. 10.1038/nature07540 19043404 PMC2677729 · DOI · Paper page
  80. Tzounis X. Rodriguez-Mateos A. Vulevic J. Gibson G. R. Kwik-Uribe C. Spencer J. P. (2011). Prebiotic evaluation of cocoa-derived flavanols in healthy humans by using a randomized, controlled, double-blind, crossover intervention study. Am. J. Clin. Nutr. 93, 62– 72. 10.3945/ajcn.110.000075 21068351 · DOI
  81. Tzounis X. Vulevic J. Kuhnle G. G. George T. Leonczak J. Gibson G. R.. (2008). Flavanol monomer-induced changes to the human faecal microflora. Br. J. Nutr. 99, 782– 792. 10.1017/S0007114507853384 17977475 · DOI
  82. Ulsemer P. Toutounian K. Kressel G. Goletz C. Schmidt J. Karsten U.. (2016). Impact of oral consumption of heat-treated Bacteroides xylanisolvens DSM 23964 on the level of natural TFalpha-specific antibodies in human adults. Benef. Microbes 7, 485– 500. 10.3920/BM2015.0143 27048836 · DOI
  83. Van de Wiele T. Boon N. Possemiers S. Jacobs H. Verstraete W. (2007). Inulin-type fructans of longer degree of polymerization exert more pronounced in vitro prebiotic effects. J. Appl. Microbiol. 102, 452– 460. 10.1111/j.1365-2672.2006.03084.x 17241351 · DOI
  84. Verspreet J. Damen B. Broekaert W. F. Verbeke K. Delcour J. A. Courtin C. M. (2016). A critical look at prebiotics within the dietary fiber concept. Annu. Rev. Food Sci. Technol. 7, 167– 190. 10.1146/annurev-food-081315-032749 26735801 · DOI
  85. Walker A. W. Duncan S. H. Harmsen H. J. Holtrop G. Welling G. W. Flint H. J. (2008). The species composition of the human intestinal microbiota differs between particle-associated and liquid phase communities. Environ. Microbiol. 10, 3275– 3283. 10.1111/j.1462-2920.2008.01717.x 18713272 · DOI
  86. White B. A. Lamed R. Bayer E. A. Flint H. J. (2014). Biomass utilization by gut microbiomes. Annu. Rev. Microbiol. 68, 279– 296. 10.1146/annurev-micro-092412-155618 25002092 · DOI · Paper page
  87. Willför S. Pranovich A. Tamminen T. Puls J. Laine C. Suurnäkki A. (2009). Carbohydrate analysis of plant materials with uronic acid-containing polysaccharides–A comparison between different hydrolysis and subsequent chromatographic analytical techniques. Ind. Crops Prod. 29, 571– 580. 10.1016/j.indcrop.2008.11.003 · DOI
  88. Williams C. F. Walton G. E. Jiang L. Plummer S. Garaiova I. Gibson G. R. (2015). Comparative analysis of intestinal tract models. Annu. Rev. Food Sci. Technol. 6, 329– 350. 10.1146/annurev-food-022814-015429 25705934 · DOI
  89. Wu G. D. Chen J. Hoffmann C. Bittinger K. Chen Y. Y. Keilbaugh S. A.. (2011). Linking long-term dietary patterns with gut microbial enterotypes. Science 334, 105– 108. 10.1126/science.1208344 21885731 PMC3368382 · DOI · Paper page
  90. Wu H. Tremaroli V. Bäckhed F. (2015). Linking microbiota to human diseases: A systems biology perspective. Trends Endocrinol. Metab. 26, 758– 770. 10.1016/j.tem.2015.09.011 26555600 · DOI · Paper page
  91. Yasmin A. Butt M. S. Afzaal M. Van Baak M. Nadeem M. T. Shahid M. Z. (2015). Prebiotics, gut microbiota and metabolic risks: Unveiling the relationship. J. Funct. Foods 17, 189– 201. 10.1016/j.jff.2015.05.004 · DOI
  92. Yatsunenko T. Rey F. E. Manary M. J. Trehan I. Dominguez-Bello M. G. Contreras M.. (2012). Human gut microbiome viewed across age and geography. Nature 486, 222– 227. 10.1038/nature11053 22699611 PMC3376388 · DOI · Paper page

Cited by

Sorted by citations

Authors
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.
Affiliations
  • Australian Research Council (AU)
  • Macquarie University (AU)
  • Commonwealth Scientific and Industrial Research Organisation (AU)
Corresponding author
  • Tetu, Sasha G.
  • Paulsen, Ian T.
ORCID
Venue
Frontiers in Microbiology
Publisher
Frontiers Media SA
Published
2018-07-20
Volume
9
Pages
1618-1618
ISSN
1664-302X (ISSN-L)
DOI
10.3389/fmicb.2018.01618
PMC
PMC6060387
OpenAlex
W2810506774
Cited by
49
References
8
Citations by year
2026: 6 · 2025: 11 · 2024: 10 · 2023: 1 · 2022: 8 · 2021: 6 · 2020: 4 · 2019: 3
FWCI
1.16
Type
journal article
Language
en
Open access
Licence
Locations
  • Frontiers in Microbiology (publishedVersion, cc-by)
  • Europe PMC (PubMed Central) (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
  • Griffith Research Online (submittedVersion, cc-by)
  • UniSA Research Outputs Repository (University of South Australia) (submittedVersion, other-oa)
Funders
Australian Research Council (IC130100009)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gut microbiota and health
  • Health Sciences › Nursing › Nutrition and Dietetics › Microbial Metabolites in Food Biotechnology
  • Health Sciences › Nursing › Nutrition and Dietetics › Food composition and properties
Keywords
gut microbiota, psyllium husk, short-chain fatty acids, SCFA-producing bacteria, Bacteroidaceae, Bifidobacteriaceae, Ruminococcaceae, Enterobacteriaceae, polyphenols, antioxidant activity, fiber chemical composition

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