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  • Review Article
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The gut microbiome and dietary fibres: implications in obesity, cardiometabolic diseases and cancer

Abstract

Dietary fibres constitute a heterogeneous class of nutrients that are key in the prevention of various chronic diseases. Most dietary fibres are fermented by the gut microbiome and may, thereby, modulate the gut microbial ecology and metabolism, impacting human health. Dietary fibres may influence the occurrence of specific bacterial taxa, with this effect varying between individuals. The effect of dietary fibres on microbial diversity is a matter of debate. Most intervention studies with dietary fibres in the context of obesity and related metabolic disorders reveal the need for an accurate assessment of the microbiome to better understand the variable response to dietary fibres. Epidemiological studies confirm that a high dietary fibre intake is strongly associated with a reduced occurrence of many types of cancer. However, there is a need to determine the impact of intervention with specific dietary fibres on cancer risk, therapy efficacy and toxicity, as well as in cancer cachexia. In this Review, we summarize the mechanisms by which the gut microbiome can mediate the physiological benefits of dietary fibres in the contexts of obesity, cardiometabolic diseases and cancer, their incidence being clearly linked to low dietary fibre intake.

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Fig. 1: Dietary fibres at the cross-section of the interactions between the gut and other organs.
Fig. 2: Structure of dietary fibres and their metabolism by the gut microbiota.
Fig. 3: Mechanisms by which dietary fibres promote gut microbial-dependent systemic effects.
Fig. 4: Proposed mechanisms explaining the effect of dietary fibres and associated metabolites on cancer.

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References

  1. Mathers, J. C. Dietary fibre and health: the story so far. Proc. Nutr. Soc. 82, 120–129 (2023).

    CAS  PubMed  Google Scholar 

  2. Stephen, A. M. et al. Dietary fibre in Europe: current state of knowledge on definitions, sources, recommendations, intakes and relationships to health. Nutr. Res. Rev. 30, 149–190 (2017). This review article defines dietary fibre and describes the characteristics of all known dietary fibres.

    CAS  PubMed  Google Scholar 

  3. Puhlmann, M. L. & de Vos, W. M. Intrinsic dietary fibers and the gut microbiome: rediscovering the benefits of the plant cell matrix for human health. Front. Immunol. 13, 954845 (2022).

    CAS  PubMed  PubMed Central  Google Scholar 

  4. Müller, M., Canfora, E. E. & Blaak, E. E. Gastrointestinal transit time, glucose homeostasis and metabolic health: modulation by dietary fibers. Nutrients 10, 275 (2018).

    PubMed  PubMed Central  Google Scholar 

  5. Carmody, R. N. et al. Cooking shapes the structure and function of the gut microbiome. Nat. Microbiol. 4, 2052–2063 (2019).

    PubMed  PubMed Central  Google Scholar 

  6. Cao, S. & Li, C. Influence of resistant starch in whole rice on human gut microbiota — from correlation implications to possible causal mechanisms. J. Agric. Food Chem. 70, 12760–12771 (2022).

    CAS  PubMed  Google Scholar 

  7. Delzenne, N. M. et al. Nutritional interest of dietary fiber and prebiotics in obesity: lessons from the MyNewGut consortium. Clin. Nutr. 39, 414–424 (2020).

    PubMed  Google Scholar 

  8. McKeown, N. M., Fahey, G. C. Jr., Slavin, J. & van der Kamp, J. W. Fibre intake for optimal health: how can healthcare professionals support people to reach dietary recommendations? BMJ 378, e054370 (2022).

    PubMed  PubMed Central  Google Scholar 

  9. Armet, A. M. et al. Rethinking healthy eating in light of the gut microbiome. Cell Host Microbe 30, 764–785 (2022).

    CAS  PubMed  Google Scholar 

  10. Deehan, E. C. et al. Modulation of the gastrointestinal microbiome with nondigestible fermentable carbohydrates to improve human health. Microbiol. Spectr. https://doi.org/10.1128/microbiolspec.BAD-0019-2017 (2017).

  11. GBD2017 Causes of Death Collaborators. Global, regional, and national age-sex-specific mortality for 282 causes of death in 195 countries and territories, 1980-2017: a systematic analysis for the Global Burden of Disease Study 2017. Lancet 392, 1736–1788 (2018).

    Google Scholar 

  12. Kok, C. R., Rose, D. & Hutkins, R. Predicting personalized responses to dietary fiber interventions: opportunities for modulation of the gut microbiome to improve health. Annu. Rev. Food Sci. Technol. 14, 157–182 (2023).

    CAS  PubMed  Google Scholar 

  13. Wardman, J. F., Bains, R. K., Rahfeld, P. & Withers, S. G. Carbohydrate-active enzymes (CAZymes) in the gut microbiome. Nat. Rev. Microbiol. 20, 542–556 (2022).

    CAS  PubMed  Google Scholar 

  14. Krautkramer, K. A., Fan, J. & Bäckhed, F. Gut microbial metabolites as multi-kingdom intermediates. Nat. Rev. Microbiol. 19, 77–94 (2021). This article provides an overview of the metabolic pathways involved in gut microbial metabolite production and their implication for host health.

    CAS  PubMed  Google Scholar 

  15. Canfora, E. E., Meex, R. C. R., Venema, K. & Blaak, E. E. Gut microbial metabolites in obesity, NAFLD and T2DM. Nat. Rev. Endocrinol. 15, 261–273 (2019).

    CAS  PubMed  Google Scholar 

  16. So, D. et al. Dietary fiber intervention on gut microbiota composition in healthy adults: a systematic review and meta-analysis. Am. J. Clin. Nutr. 107, 965–983 (2018).

    PubMed  Google Scholar 

  17. Tap, J. et al. Gut microbiota richness promotes its stability upon increased dietary fibre intake in healthy adults. Environ. Microbiol. 17, 4954–4964 (2015).

    CAS  PubMed  Google Scholar 

  18. Nicolucci, A. C. et al. Prebiotics reduce body fat and alter intestinal microbiota in children who are overweight or with obesity. Gastroenterology 153, 711–722 (2017).

    PubMed  Google Scholar 

  19. Reimer, R. A. et al. Effect of chicory inulin-type fructan-containing snack bars on the human gut microbiota in low dietary fiber consumers in a randomized crossover trial. Am. J. Clin. Nutr. 111, 1286–1296 (2020).

    PubMed  Google Scholar 

  20. Hiel, S. et al. Effects of a diet based on inulin-rich vegetables on gut health and nutritional behavior in healthy humans. Am. J. Clin. Nutr. 109, 1683–1695 (2019).

    PubMed  PubMed Central  Google Scholar 

  21. Hiel, S. et al. Link between gut microbiota and health outcomes in inulin-treated obese patients: lessons from the Food4Gut multicenter randomized placebo-controlled trial. Clin. Nutr. 39, 3618–3628 (2020).

    CAS  PubMed  Google Scholar 

  22. Scorletti, E. et al. Synbiotics alter fecal microbiomes, but not liver fat or fibrosis, in a randomized trial of patients with nonalcoholic fatty liver disease. Gastroenterology 158, 1597–1610.e7 (2020).

    CAS  PubMed  Google Scholar 

  23. Deehan, E. C. et al. Elucidating the role of the gut microbiota in the physiological effects of dietary fiber. Microbiome 10, 77 (2022).

    CAS  PubMed  PubMed Central  Google Scholar 

  24. Martínez, I., Kim, J., Duffy, P. R., Schlegel, V. L. & Walter, J. Resistant starches types 2 and 4 have differential effects on the composition of the fecal microbiota in human subjects. PLoS ONE 5, e15046 (2010).

    PubMed  PubMed Central  Google Scholar 

  25. Deehan, E. C. et al. Precision microbiome modulation with discrete dietary fiber structures directs short-chain fatty acid production. Cell Host Microbe 27, 389–404.e6 (2020). This study demonstrates that small differences in dietary fibre structure distinctly affect the gut microbiome.

    CAS  PubMed  Google Scholar 

  26. Dewulf, E. et al. Insight into the prebiotic concept: lessons from an exploratory, double blind intervention study with inulin-type fructans in obese women. Gut 62, 1112–1121 (2012).

    PubMed  Google Scholar 

  27. Reimer, R. A. et al. Inulin-type fructans and whey protein both modulate appetite but only fructans alter gut microbiota in adults with overweight/obesity: a randomized controlled trial. Mol. Nutr. Food Res. 61, 1700484 (2017).

    Google Scholar 

  28. Salazar, N. et al. Inulin-type fructans modulate intestinal Bifidobacterium species populations and decrease fecal short-chain fatty acids in obese women. Clin. Nutr. 34, 501–507 (2015).

    CAS  PubMed  Google Scholar 

  29. Ruben, L., Julien, T. & Muriel, D. Exploring Bifidobacterium species community and functional variations with human gut microbiome structure and health beyond infancy. Microbiome Res. Rep. 2, 9 (2023).

    Google Scholar 

  30. Davis, L. M., Martínez, I., Walter, J., Goin, C. & Hutkins, R. W. Barcoded pyrosequencing reveals that consumption of galactooligosaccharides results in a highly specific bifidogenic response in humans. PLoS ONE 6, e25200 (2011).

    CAS  PubMed  PubMed Central  Google Scholar 

  31. Button, J. E. et al. Dosing a synbiotic of human milk oligosaccharides and B. infantis leads to reversible engraftment in healthy adult microbiomes without antibiotics. Cell Host Microbe 30, 712–725.e7 (2022).

    CAS  PubMed  Google Scholar 

  32. Bajorek, S. et al. B. infantis EVC001 is well-tolerated and improves human milk oligosaccharide utilization in preterm infants in the neonatal intensive care unit. Front. Pediatr. 9, 795970 (2021).

    PubMed  Google Scholar 

  33. Frese, S. A. et al. Persistence of supplemented Bifidobacterium longum subsp. infantis EVC001 in breastfed infants. mSphere 2, e00501-17 (2017).

    PubMed  PubMed Central  Google Scholar 

  34. Benítez-Páez, A. et al. A multi-omics approach to unraveling the microbiome-mediated effects of arabinoxylan oligosaccharides in overweight humans. mSystems 4, e00209-19 (2019).

    PubMed  PubMed Central  Google Scholar 

  35. Nguyen, N. K. et al. Gut microbiota modulation with long-chain corn bran arabinoxylan in adults with overweight and obesity is linked to an individualized temporal increase in fecal propionate. Microbiome 8, 118 (2020).

  36. Rodriguez, J., Olivares, M. & Delzenne, N. M. Implication of the gut microbiota in metabolic inflammation associated with nutritional disorders and obesity. Mol. Nutr. Food Res. 65, e1900481 (2021).

  37. Ostrowski, M. P. et al. Mechanistic insights into consumption of the food additive xanthan gum by the human gut microbiota. Nat. Microbiol. 7, 556–569 (2022).

    CAS  PubMed  PubMed Central  Google Scholar 

  38. Van den Abbeele, P. et al. Arabinoxylans and inulin differentially modulate the mucosal and luminal gut microbiota and mucin-degradation in humanized rats. Environ. Microbiol. 13, 2667–2680 (2011).

    PubMed  Google Scholar 

  39. Chung, W. S. et al. Modulation of the human gut microbiota by dietary fibres occurs at the species level. BMC Biol. 14, 3 (2016).

    PubMed  PubMed Central  Google Scholar 

  40. Dalile, B., Van Oudenhove, L., Vervliet, B. & Verbeke, K. The role of short-chain fatty acids in microbiota-gut-brain communication. Nat. Rev. Gastroenterol. Hepatol. 16, 461–478 (2019).

    PubMed  Google Scholar 

  41. Koh, A., De Vadder, F., Kovatcheva-Datchary, P. & Bäckhed, F. From dietary fiber to host physiology: short-chain fatty acids as key bacterial metabolites. Cell 165, 1332–1345 (2016).

    CAS  PubMed  Google Scholar 

  42. Roberfroid, M. B. Caloric value of inulin and oligofructose. J. Nutr. 129, 1436s–1437s (1999).

    CAS  PubMed  Google Scholar 

  43. Canfora, E. E., Jocken, J. W. & Blaak, E. E. Short-chain fatty acids in control of body weight and insulin sensitivity. Nat. Rev. Endocrinol. 11, 577–591 (2015).

    CAS  PubMed  Google Scholar 

  44. Bindels, L. B. et al. Gut microbiota-derived propionate reduces cancer cell proliferation in the liver. Br. J. Cancer 107, 1337–1344 (2012).

    CAS  PubMed  PubMed Central  Google Scholar 

  45. Korpela, K. Diet, microbiota, and metabolic health: trade-off between saccharolytic and proteolytic fermentation. Annu. Rev. Food Sci. Technol. 9, 65–84 (2018).

    CAS  PubMed  Google Scholar 

  46. Sampson, T. R. et al. Gut microbiota regulate motor deficits and neuroinflammation in a model of Parkinson’s disease. Cell 167, 1469–1480.e12 (2016).

    CAS  PubMed  PubMed Central  Google Scholar 

  47. Brinkworth, G. D., Noakes, M., Clifton, P. M. & Bird, A. R. Comparative effects of very low-carbohydrate, high-fat and high-carbohydrate, low-fat weight-loss diets on bowel habit and faecal short-chain fatty acids and bacterial populations. Br. J. Nutr. 101, 1493–1502 (2009).

    CAS  PubMed  Google Scholar 

  48. Hoyles, L. et al. Molecular phenomics and metagenomics of hepatic steatosis in non-diabetic obese women. Nat. Med. 24, 1070–1080 (2018).

    CAS  PubMed  PubMed Central  Google Scholar 

  49. Delzenne, N. M., Cani, P. D., Everard, A., Neyrinck, A. M. & Bindels, L. B. Gut microorganisms as promising targets for the management of type 2 diabetes. Diabetologia 58, 2206–2217 (2015).

    CAS  PubMed  Google Scholar 

  50. Bansal, T., Alaniz, R. C., Wood, T. K. & Jayaraman, A. The bacterial signal indole increases epithelial-cell tight-junction resistance and attenuates indicators of inflammation. Proc. Natl Acad. Sci. USA 107, 228–233 (2010).

    CAS  PubMed  Google Scholar 

  51. Beaumont, M. et al. The gut microbiota metabolite indole alleviates liver inflammation in mice. FASEB J. 32, fj201800544 (2018).

    PubMed  Google Scholar 

  52. Diether, N. E. & Willing, B. P. Microbial fermentation of dietary protein: an important factor in diet-microbe-host interaction. Microorganisms 7, 19 (2019).

    CAS  PubMed  PubMed Central  Google Scholar 

  53. Nishimoto, Y. et al. Resistant maltodextrin intake reduces virulent metabolites in the gut environment: a randomized control study in a Japanese cohort. Front. Microbiol. 13, 644146 (2022).

    PubMed  PubMed Central  Google Scholar 

  54. Gutiérrez-Díaz, I. et al. Adherence to a Mediterranean diet influences the fecal metabolic profile of microbial-derived phenolics in a Spanish cohort of middle-age and older people. J. Agric. Food Chem. 65, 586–595 (2017).

    PubMed  Google Scholar 

  55. Verbeke, K. A. et al. Towards microbial fermentation metabolites as markers for health benefits of prebiotics. Nutr. Res. Rev. 28, 42–66 (2015).

    CAS  PubMed  PubMed Central  Google Scholar 

  56. Oliphant, K. & Allen-Vercoe, E. Macronutrient metabolism by the human gut microbiome: major fermentation by-products and their impact on host health. Microbiome 7, 91 (2019).

    PubMed  PubMed Central  Google Scholar 

  57. Yehia, N. A. et al. Association of branched chain fatty acids with cardiometabolic disorders in humans: a systematic review. Nutr. Rev. 81, 180–190 (2023).

    PubMed  Google Scholar 

  58. Aslamy, A. et al. Increased plasma branched short-chain fatty acids and improved glucose homeostasis: the Microbiome and Insulin Longitudinal Evaluation Study (MILES). Diabetes 73, 385–390 (2024).

    CAS  PubMed  Google Scholar 

  59. Rios-Covian, D. et al. An overview on fecal branched short-chain fatty acids along human life and as related with body mass index: associated dietary and anthropometric factors. Front. Microbiol. 11, 973 (2020).

    PubMed  PubMed Central  Google Scholar 

  60. Wang, X., Gibson, G. R., Sailer, M., Theis, S. & Rastall, R. A. Prebiotics inhibit proteolysis by gut bacteria in a host diet-dependent manner: a three-stage continuous in vitro gut model experiment. Appl. Environ. Microbiol. 86, e02730-19 (2020).

    CAS  PubMed  PubMed Central  Google Scholar 

  61. Clarke, S. T. et al. β2-1 Fructan supplementation alters host immune responses in a manner consistent with increased exposure to microbial components: results from a double-blinded, randomised, cross-over study in healthy adults. Br. J. Nutr. 115, 1748–1759 (2016).

    CAS  PubMed  Google Scholar 

  62. Perino, A., Demagny, H., Velazquez-Villegas, L. & Schoonjans, K. Molecular physiology of bile acid signaling in health, disease, and aging. Physiol. Rev. 101, 683–731 (2021).

    CAS  PubMed  Google Scholar 

  63. Pushpass, R. G., Alzoufairi, S., Jackson, K. G. & Lovegrove, J. A. Circulating bile acids as a link between the gut microbiota and cardiovascular health: impact of prebiotics, probiotics and polyphenol-rich foods. Nutr. Res. Rev. 35, 161–180 (2022).

    CAS  PubMed  Google Scholar 

  64. Olivares, M. et al. The Janus face of cereals: wheat-derived prebiotics counteract the detrimental effect of gluten on metabolic homeostasis in mice fed a high-fat/high-sucrose diet. Mol. Nutr. Food Res. 63, e1900632 (2019).

    PubMed  Google Scholar 

  65. Hiel, S. et al. Inulin improves postprandial hypertriglyceridemia by modulating gene expression in the small intestine. Nutrients 10, 532 (2018).

    PubMed  PubMed Central  Google Scholar 

  66. Neyrinck, A. M. et al. Intestinal sucrase as a novel target contributing to the regulation of glycemia by prebiotics. PLoS ONE 11, e0160488 (2016).

    PubMed  PubMed Central  Google Scholar 

  67. Pinart, M. et al. Gut microbiome composition in obese and non-obese persons: a systematic review and meta-analysis. Nutrients 14, 12 (2021).

    PubMed  PubMed Central  Google Scholar 

  68. Thomas, A. M. et al. Gut OncoMicrobiome Signatures (GOMS) as next-generation biomarkers for cancer immunotherapy. Nat. Rev. Clin. Oncol. 20, 583–603 (2023).

    PubMed  PubMed Central  Google Scholar 

  69. Sze, M. A. & Schloss, P. D. Looking for a signal in the noise: revisiting obesity and the microbiome. mBio 7, e01018-16 (2016).

    PubMed  PubMed Central  Google Scholar 

  70. Lin, Y. et al. Combing fecal microbial community data to identify consistent obesity-specific microbial signatures and shared metabolic pathways. iScience 26, 106476 (2023).

    PubMed  PubMed Central  Google Scholar 

  71. Chanda, D. & De, D. Meta-analysis reveals obesity associated gut microbial alteration patterns and reproducible contributors of functional shift. Gut Microbes 16, 2304900 (2024).

    PubMed  PubMed Central  Google Scholar 

  72. Thomas, A. M. et al. Author correction: Metagenomic analysis of colorectal cancer datasets identifies cross-cohort microbial diagnostic signatures and a link with choline degradation. Nat. Med. 25, 1948 (2019).

    CAS  PubMed  Google Scholar 

  73. Yonekura, S. et al. Cancer induces a stress ileopathy depending on β-adrenergic receptors and promoting dysbiosis that contributes to carcinogenesis. Cancer Discov. 12, 1128–1151 (2022).

    CAS  PubMed  Google Scholar 

  74. Rothschild, D. et al. Environment dominates over host genetics in shaping human gut microbiota. Nature 555, 210–215 (2018). This study shows that host genetics cannot explain all microbiome characteristics, which are influenced by diet as a key environmental factor.

    CAS  PubMed  Google Scholar 

  75. Zhang, C. et al. Interactions between gut microbiota, host genetics and diet relevant to development of metabolic syndromes in mice. ISME J. 4, 232–241 (2010).

    CAS  PubMed  Google Scholar 

  76. Klingbeil, E. & de La Serre, C. B. Microbiota modulation by eating patterns and diet composition: impact on food intake. Am. J. Physiol. Regul. Integr. Comp. Physiol. 315, R1254–R1260 (2018).

    CAS  PubMed  Google Scholar 

  77. Park, E. M. et al. Targeting the gut and tumor microbiota in cancer. Nat. Med. 28, 690–703 (2022).

    CAS  PubMed  Google Scholar 

  78. Reynolds, A. et al. Carbohydrate quality and human health: a series of systematic reviews and meta-analyses. Lancet 393, 434–445 (2019).

    CAS  PubMed  Google Scholar 

  79. Neuhouser, M. L. The importance of healthy dietary patterns in chronic disease prevention. Nutr. Res. 70, 3–6 (2019).

    CAS  PubMed  Google Scholar 

  80. Lotfi, K., Saneei, P., Hajhashemy, Z. & Esmaillzadeh, A. Adherence to the Mediterranean diet, five-year weight change, and risk of overweight and obesity: a systematic review and dose-response meta-analysis of prospective cohort studies. Adv. Nutr. 13, 152–166 (2022).

    CAS  PubMed  Google Scholar 

  81. Huwiler, V. V. et al. Prolonged isolated soluble dietary fibre supplementation in overweight and obese patients: a systematic review with meta-analysis of randomised controlled trials. Nutrients 14, 2627 (2022).

    CAS  PubMed  PubMed Central  Google Scholar 

  82. Cerdó, T., García-Santos, J. A., Bermúdez, M, G. & Campoy, C. The role of probiotics and prebiotics in the prevention and treatment of obesity. Nutrients 11, 635 (2019).

    PubMed  PubMed Central  Google Scholar 

  83. Suhr, J., Vuholm, S., Iversen, K. N., Landberg, R. & Kristensen, M. Wholegrain rye, but not wholegrain wheat, lowers body weight and fat mass compared with refined wheat: a 6-week randomized study. Eur. J. Clin. Nutr. 71, 959–967 (2017).

    CAS  PubMed  Google Scholar 

  84. Wanders, A. J. et al. The effects of bulking, viscous and gel-forming dietary fibres on satiation. Br. J. Nutr. 109, 1330–1337 (2013).

    CAS  PubMed  Google Scholar 

  85. Burley, V. J., Paul, A. W. & Blundell, J. E. Influence of a high-fibre food (myco-protein) on appetite: effects on satiation (within meals) and satiety (following meals). Eur. J. Clin. Nutr. 47, 409–418 (1993).

    CAS  PubMed  Google Scholar 

  86. Odunsi, S. T. et al. Effect of alginate on satiation, appetite, gastric function, and selected gut satiety hormones in overweight and obesity. Obesity 18, 1579–1584 (2010).

    CAS  PubMed  Google Scholar 

  87. Rodriguez, J. et al. Discovery of the gut microbial signature driving the efficacy of prebiotic intervention in obese patients. Gut 69, 1975–1987 (2020). This study reports the microbial features that drive the metabolic response to inulin in obesity.

    CAS  PubMed  Google Scholar 

  88. Rodriguez, J. et al. Physical activity enhances the improvement of body mass index and metabolism by inulin: a multicenter randomized placebo-controlled trial performed in obese individuals. BMC Med. 20, 110 (2022).

    CAS  PubMed  PubMed Central  Google Scholar 

  89. Morel, F. B. et al. α-Galacto-oligosaccharides dose-dependently reduce appetite and decrease inflammation in overweight adults. J. Nutr. 145, 2052–2059 (2015).

    CAS  PubMed  Google Scholar 

  90. EFSA Panel on Dietetic Products, Nutrition and Allergies (NDA). Scientific opinion on the substantiation of health claims related to arabinoxylan produced from wheat endosperm and reduction of post-prandial glycaemic responses (ID 830) pursuant to Article 13(1) of Regulation (EC) no 1924/2006. EFSA J. https://doi.org/10.2903/j.efsa.2011.2205 (2011).

  91. Müller, M. et al. Circulating but not faecal short-chain fatty acids are related to insulin sensitivity, lipolysis and GLP-1 concentrations in humans. Sci. Rep. 9, 12515 (2019).

    PubMed  PubMed Central  Google Scholar 

  92. van Deuren, T., Blaak, E. E. & Canfora, E. E. Butyrate to combat obesity and obesity-associated metabolic disorders: current status and future implications for therapeutic use. Obes. Rev. 23, e13498 (2022).

    PubMed  PubMed Central  Google Scholar 

  93. van Deuren, T. et al. Butyrate and hexanoate-enriched triglycerides increase postprandrial systemic butyrate and hexanoate in men with overweight/obesity: a double-blind placebo-controlled randomized crossover trial. Front. Nutr. 9, 1066950 (2022).

    PubMed  Google Scholar 

  94. Canfora, E. E. et al. Fiber mixture-specific effect on distal colonic fermentation and metabolic health in lean but not in prediabetic men. Gut Microbes 14, 2009297 (2022).

    PubMed  Google Scholar 

  95. O’Keefe, S. J. The association between dietary fibre deficiency and high-income lifestyle-associated diseases: Burkitt’s hypothesis revisited. Lancet Gastroenterol. Hepatol. 4, 984–996 (2019). This viewpoint article discusses the evidence that fibre deficiency increases the risk of colon, liver and breast cancer and the underlying mechanisms.

    PubMed  PubMed Central  Google Scholar 

  96. Papadimitriou, N. et al. A prospective diet-wide association study for risk of colorectal cancer in EPIC. Clin. Gastroenterol. Hepatol. 20, 864–873.e13 (2022).

    CAS  PubMed  Google Scholar 

  97. Li, N. et al. Dietary carbohydrate intake is associated with a lower risk of breast cancer: a meta-analysis of cohort studies. Nutr. Res. 100, 70–92 (2022).

    CAS  PubMed  Google Scholar 

  98. Nucci, D. et al. Dietary fiber intake and risk of pancreatic cancer: systematic review and meta-analysis of observational studies. Int. J. Environ. Res. Public Health 18, 11556 (2021).

    PubMed  PubMed Central  Google Scholar 

  99. Yu, E. Y. W. et al. Grain and dietary fiber intake and bladder cancer risk: a pooled analysis of prospective cohort studies. Am. J. Clin. Nutr. 112, 1252–1266 (2020).

    PubMed  PubMed Central  Google Scholar 

  100. Khodavandi, A., Alizadeh, F. & Razis, A. F. A. Association between dietary intake and risk of ovarian cancer: a systematic review and meta-analysis. Eur. J. Nutr. 60, 1707–1736 (2021).

    PubMed  Google Scholar 

  101. Li, H., Mao, H., Yu, Y. & Nan, Y. Association between dietary fiber and endometrial cancer: a meta-analysis. Nutr. Cancer 72, 959–967 (2020).

    PubMed  Google Scholar 

  102. Kuan, A. S. et al. Diet and risk of glioma: combined analysis of 3 large prospective studies in the UK and USA. Neuro Oncol. 21, 944–952 (2019).

    CAS  PubMed  PubMed Central  Google Scholar 

  103. US Food & Drug Administration. 21 CFR 101.76 Health claims: fiber-containing grain products, fruits, and vegetables and cancer, 58 FR 2578 (FDA, 1993).

  104. Taper, H. S. & Roberfroid, M. B. Inulin/oligofructose and anticancer therapy. Br. J. Nutr. 87, S283–S286 (2002).

  105. Han, K. et al. Generation of systemic antitumour immunity via the in situ modulation of the gut microbiome by an orally administered inulin gel. Nat. Biomed. Eng. 5, 1377–1388 (2021).

    CAS  PubMed  PubMed Central  Google Scholar 

  106. Li, Y. et al. Prebiotic-induced anti-tumor immunity attenuates tumor growth. Cell Rep. 30, 1753–1766.e6 (2020).

    CAS  PubMed  PubMed Central  Google Scholar 

  107. Singh, V. et al. Dysregulated microbial fermentation of soluble fiber induces cholestatic liver cancer. Cell 175, 679–694.e22 (2018).

    CAS  PubMed  PubMed Central  Google Scholar 

  108. Oliero, M. et al. Inulin impacts tumorigenesis promotion by colibactin-producing Escherichia coli in Apc(Min/+) mice. Front. Microbiol. 14, 1067505 (2023).

    PubMed  PubMed Central  Google Scholar 

  109. Debras, C. et al. Fermentable oligosaccharides, disaccharides, monosaccharides, and polyols (FODMAPs) and cancer risk in the prospective NutriNet-Santé cohort. J. Nutr. 152, 1059–1069 (2022).

    PubMed  Google Scholar 

  110. Schatzkin, A. et al. Lack of effect of a low-fat, high-fiber diet on the recurrence of colorectal adenomas. Polyp Prevention Trial Study Group. N. Engl. J. Med. 342, 1149–1155 (2000).

    CAS  PubMed  Google Scholar 

  111. Sansbury, L. B. et al. The effect of strict adherence to a high-fiber, high-fruit and -vegetable, and low-fat eating pattern on adenoma recurrence. Am. J. Epidemiol. 170, 576–584 (2009). This re-analysis of an interventional trial highlights that super compliers to a high-fibre, high-fruit and high-vegetable, and low-fat eating pattern displayed reduced odds of adenoma recurrence.

    PubMed  PubMed Central  Google Scholar 

  112. Le Leu, R. K. et al. Butyrylated starch intake can prevent red meat-induced O6-methyl-2-deoxyguanosine adducts in human rectal tissue: a randomised clinical trial. Br. J. Nutr. 114, 220–230 (2015).

    PubMed  PubMed Central  Google Scholar 

  113. Wu, W. T., Cheng, H. C. & Chen, H. L. Ameliorative effects of konjac glucomannan on human faecal β-glucuronidase activity, secondary bile acid levels and faecal water toxicity towards Caco-2 cells. Br. J. Nutr. 105, 593–600 (2011).

    CAS  PubMed  Google Scholar 

  114. Windey, K. et al. Wheat bran extract alters colonic fermentation and microbial composition, but does not affect faecal water toxicity: a randomised controlled trial in healthy subjects. Br. J. Nutr. 113, 225–238 (2015).

    CAS  PubMed  Google Scholar 

  115. Worthley, D. L. et al. A human, double-blind, placebo-controlled, crossover trial of prebiotic, probiotic, and synbiotic supplementation: effects on luminal, inflammatory, epigenetic, and epithelial biomarkers of colorectal cancer. Am. J. Clin. Nutr. 90, 578–586 (2009).

    CAS  PubMed  Google Scholar 

  116. Donohoe, D. R. et al. A gnotobiotic mouse model demonstrates that dietary fiber protects against colorectal tumorigenesis in a microbiota- and butyrate-dependent manner. Cancer Discov. 4, 1387–1397 (2014).

    CAS  PubMed  PubMed Central  Google Scholar 

  117. Wortmann, E. et al. Secondary bile acid production by gut bacteria promotes Western diet-associated colorectal cancer. Preprint at bioRxiv https://doi.org/10.1101/2023.03.17.533140 (2023).

  118. Thibaut, M. M. & Bindels, L. B. Crosstalk between bile acid-activated receptors and microbiome in entero-hepatic inflammation. Trends Mol. Med. 28, 223–236 (2022).

    CAS  PubMed  Google Scholar 

  119. Bindels, L. B. et al. Resistant starch can improve insulin sensitivity independently of the gut microbiota. Microbiome 5, 12 (2017).

    PubMed  PubMed Central  Google Scholar 

  120. Jenkins, A. L., Vuksan, V. & Jenkins, D. A. in CRC Handbook of Dietary Fiber in Human Nutrition (ed. Spiller, G. A.) 423–430 (CRC Press, 2001).

  121. Byrd, D. A. et al. Circulating bile acids and adenoma recurrence in the context of adherence to a high-fiber, high-fruit and vegetable, and low-fat dietary intervention. Clin. Transl. Gastroenterol. 13, e00533 (2022).

    PubMed  PubMed Central  Google Scholar 

  122. Lampe, J. W. et al. Colonic mucosal and exfoliome transcriptomic profiling and fecal microbiome response to a flaxseed lignan extract intervention in humans. Am. J. Clin. Nutr. 110, 377–390 (2019).

    PubMed  PubMed Central  Google Scholar 

  123. Wallace, B. D. et al. Alleviating cancer drug toxicity by inhibiting a bacterial enzyme. Science 330, 831–835 (2010).

    CAS  PubMed  PubMed Central  Google Scholar 

  124. Wiseman, M. The second World Cancer Research Fund/American Institute for Cancer Research expert report. Food, nutrition, physical activity, and the prevention of cancer: a global perspective. Proc. Nutr. Soc. 67, 253–256 (2008).

    PubMed  Google Scholar 

  125. Chrysostomou, D., Roberts, L. A., Marchesi, J. R. & Kinross, J. M. Gut microbiota modulation of efficacy and toxicity of cancer chemotherapy and immunotherapy. Gastroenterology 164, 198–213 (2023).

    CAS  PubMed  Google Scholar 

  126. Kang, X., Lau, H. C. & Yu, J. Modulating gut microbiome in cancer immunotherapy: harnessing microbes to enhance treatment efficacy. Cell Rep. Med. 5, 101478 (2024).

    CAS  PubMed  PubMed Central  Google Scholar 

  127. Taper, H. S. & Roberfroid, M. B. Nontoxic potentiation of cancer chemotherapy by dietary oligofructose or inulin. Nutr. Cancer 38, 1–5 (2000).

    CAS  PubMed  Google Scholar 

  128. Encarnação, J. C. et al. Butyrate, a dietary fiber derivative that improves irinotecan effect in colon cancer cells. J. Nutr. Biochem. 56, 183–192 (2018).

    PubMed  Google Scholar 

  129. Then, C. K., Paillas, S., Wang, X., Hampson, A. & Kiltie, A. E. Association of Bacteroides acidifaciens relative abundance with high-fibre diet-associated radiosensitisation. BMC Biol. 18, 102 (2020).

    CAS  PubMed  PubMed Central  Google Scholar 

  130. Suran, M. Melanoma immunotherapy responses to dietary fiber and probiotics. JAMA 327, 1117 (2022).

    PubMed  Google Scholar 

  131. Spencer, C. N. et al. Dietary fiber and probiotics influence the gut microbiome and melanoma immunotherapy response. Science 374, 1632–1640 (2021).

    CAS  PubMed  PubMed Central  Google Scholar 

  132. Nomura, M. et al. Association of short-chain fatty acids in the gut microbiome with clinical response to treatment with nivolumab or pembrolizumab in patients with solid cancer tumors. JAMA Netw. Open 3, e202895 (2020).

    PubMed  PubMed Central  Google Scholar 

  133. Zhang, S. L. et al. Pectin supplement significantly enhanced the anti-PD-1 efficacy in tumor-bearing mice humanized with gut microbiota from patients with colorectal cancer. Theranostics 11, 4155–4170 (2021).

    CAS  PubMed  PubMed Central  Google Scholar 

  134. Coutzac, C. et al. Systemic short chain fatty acids limit antitumor effect of CTLA-4 blockade in hosts with cancer. Nat. Commun. 11, 2168 (2020).

    CAS  PubMed  PubMed Central  Google Scholar 

  135. Smith, C. L. et al. Lactobacillus fermentum BR11 and fructo-oligosaccharide partially reduce jejunal inflammation in a model of intestinal mucositis in rats. Nutr. Cancer 60, 757–767 (2008).

    CAS  PubMed  Google Scholar 

  136. Galdino, F. M. P. et al. Pretreatment and treatment with fructo-oligosaccharides attenuate intestinal mucositis induced by 5-FU in mice. J. Funct. Foods 49, 485–492 (2018).

    CAS  Google Scholar 

  137. Gallotti, B. et al. Effects of dietary fibre intake in chemotherapy-induced mucositis in murine model. Br. J. Nutr. 126, 853–864 (2021).

    CAS  PubMed  Google Scholar 

  138. Sahasrabudhe, N. M. et al. Dietary fiber pectin directly blocks Toll-like receptor 2-1 and prevents doxorubicin-induced ileitis. Front. Immunol. 9, 383 (2018).

    PubMed  PubMed Central  Google Scholar 

  139. Argilés, J. M., López-Soriano, F. J., Stemmler, B. & Busquets, S. Cancer-associated cachexia — understanding the tumour macroenvironment and microenvironment to improve management. Nat. Rev. Clin. Oncol. 20, 250–264 (2023).

    PubMed  Google Scholar 

  140. Fearon, K. et al. Definition and classification of cancer cachexia: an international consensus. Lancet Oncol. 12, 489–495 (2011).

    PubMed  Google Scholar 

  141. Pryce, B. R., Wang, D. J., Zimmers, T. A., Ostrowski, M. C. & Guttridge, D. C. Cancer cachexia: involvement of an expanding macroenvironment. Cancer Cell 41, 581–584 (2023).

    CAS  PubMed  PubMed Central  Google Scholar 

  142. Ubachs, J. et al. Gut microbiota and short-chain fatty acid alterations in cachectic cancer patients. J. Cachexia Sarcopenia Muscle 12, 2007–2021 (2021).

    PubMed  PubMed Central  Google Scholar 

  143. Pötgens, S. A. et al. Multi-compartment metabolomics and metagenomics reveal major hepatic and intestinal disturbances in cancer cachectic mice. J. Cachexia Sarcopenia Muscle 12, 456–475 (2021).

    PubMed  PubMed Central  Google Scholar 

  144. Bindels, L. B. et al. Synbiotic approach restores intestinal homeostasis and prolongs survival in leukaemic mice with cachexia. ISME J. 10, 1456–1470 (2016).

    CAS  PubMed  Google Scholar 

  145. Lefevre, C. & Bindels, L. B. Role of the gut microbiome in skeletal muscle physiology and pathophysiology. Curr. Osteoporos. Rep. 20, 422–432 (2022).

    PubMed  Google Scholar 

  146. Jiang, Y. et al. The altered tight junctions: an important gateway of bacterial translocation in cachexia patients with advanced gastric cancer. J. Interferon Cytokine Res. 34, 518–525 (2014).

    CAS  PubMed  PubMed Central  Google Scholar 

  147. Bindels, L. B. et al. Increased gut permeability in cancer cachexia: mechanisms and clinical relevance. Oncotarget 9, 18224–18238 (2018).

    PubMed  PubMed Central  Google Scholar 

  148. Pötgens, S. A. et al. Gut microbiome alterations at acute myeloid leukemia diagnosis are associated with muscle weakness and anorexia. Haematologica 109, 3194–3208 (2024).

    PubMed  PubMed Central  Google Scholar 

  149. Bindels, L. B. et al. Non digestible oligosaccharides modulate the gut microbiota to control the development of leukemia and associated cachexia in mice. PLoS ONE 10, e0131009 (2015). Together with Pötgens et al. (2021), this study highlights that cancerous mice with cachexia exhibit alterations in gut microbiota composition and functions associated with intestinal disturbance.

    PubMed  PubMed Central  Google Scholar 

  150. Kenkhuis, M. F. et al. Longitudinal associations of fiber, vegetable, and fruit intake with quality of life and fatigue in colorectal cancer survivors up to 24 months posttreatment. Am. J. Clin. Nutr. 115, 822–832 (2022).

    PubMed  Google Scholar 

  151. Tollosa, D. N., Tavener, M., Hure, A. & James, E. L. Adherence to multiple health behaviours in cancer survivors: a systematic review and meta-analysis. J. Cancer Surviv. 13, 327–343 (2019).

    PubMed  Google Scholar 

  152. Walter, J., Armet, A. M., Finlay, B. B. & Shanahan, F. Establishing or exaggerating causality for the gut microbiome: lessons from human microbiota-associated rodents. Cell 180, 221–232 (2020).

    CAS  PubMed  Google Scholar 

  153. Babbar, N., Dejonghe, W., Gatti, M., Sforza, S. & Elst, K. Pectic oligosaccharides from agricultural by-products: production, characterization and health benefits. Crit. Rev. Biotechnol. 36, 594–606 (2016).

    CAS  PubMed  Google Scholar 

  154. Arzami, A. N., Ho, T. M. & Mikkonen, K. S. Valorization of cereal by-product hemicelluloses: fractionation and purity considerations. Food Res. Int. 151, 110818 (2022).

    CAS  PubMed  Google Scholar 

  155. Turck, D. et al. Scientific advice related to nutrient profiling for the development of harmonised mandatory front-of-pack nutrition labelling and the setting of nutrient profiles for restricting nutrition and health claims on foods. EFSA J. 20, e07259 (2022).

    CAS  PubMed  PubMed Central  Google Scholar 

  156. Pascale, N., Gu, F., Larsen, N., Jespersen, L. & Respondek, F. The potential of pectins to modulate the human gut microbiota evaluated by in vitro fermentation: a systematic review. Nutrients 14, 3629 (2022).

    CAS  PubMed  PubMed Central  Google Scholar 

  157. Hipsley, E. H. Dietary “fibre” and pregnancy toxaemia. Br. Med. J. 2, 420–422 (1953).

    CAS  PubMed  PubMed Central  Google Scholar 

  158. Burkitt, D. P., Walker, A. R. & Painter, N. S. Dietary fiber and disease. JAMA 229, 1068–1074 (1974).

    CAS  PubMed  Google Scholar 

  159. Trowell, H. Ischemic heart disease and dietary fiber. Am. J. Clin. Nutr. 25, 926–932 (1972).

    CAS  PubMed  Google Scholar 

  160. Asp, N. G., Johansson, C. G., Hallmer, H. & Siljeström, M. Rapid enzymatic assay of insoluble and soluble dietary fiber. J. Agric. Food Chem. 31, 476–482 (1983).

    CAS  PubMed  Google Scholar 

  161. Prosky, L. et al. Determination of total dietary fiber in foods and food products: collaborative study. J. Assoc. Off. Anal. Chem. 68, 677–679 (1985).

    CAS  PubMed  Google Scholar 

  162. Gibson, G. R. & Roberfroid, M. B. Dietary modulation of the human colonic microbiota: introducing the concept of prebiotics. J. Nutr. 125, 1401–1412 (1995).

    CAS  PubMed  Google Scholar 

  163. Gibson, G. R. et al. Expert consensus document: the International Scientific Association for Probiotics and Prebiotics (ISAPP) consensus statement on the definition and scope of prebiotics. Nat. Rev. Gastroenterol. Hepatol. 14, 491–502 (2017).

    PubMed  Google Scholar 

  164. Bindels, L. B., Delzenne, N. M., Cani, P. D. & Walter, J. Towards a more comprehensive concept for prebiotics. Nat. Rev. Gastroenterol. Hepatol. 12, 303–310 (2015).

    CAS  PubMed  Google Scholar 

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Acknowledgements

L.B.B. is a Collen-Francqui Research Professor and is grateful for the support of the Francqui Fondation. N.M.D. is a recipient of grants from the Fonds de la Recherche Scientifique (FRS)‐FNRS (grant numbers: PINT‐MULTI R.8013.19 (NEURON, call 2019), PDR T.0068.19 and PDR T008524).

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Delzenne, N.M., Bindels, L.B., Neyrinck, A.M. et al. The gut microbiome and dietary fibres: implications in obesity, cardiometabolic diseases and cancer. Nat Rev Microbiol 23, 225–238 (2025). https://doi.org/10.1038/s41579-024-01108-z

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