750
Views
1
CrossRef citations to date
0
Altmetric
In vitro and animal studies

Fibre fermentation and pig faecal microbiota composition are affected by the interaction between sugarcane fibre and (poly)phenols in vitro

, , , , & ORCID Icon
Pages 219-233 | Received 08 Dec 2022, Accepted 20 Feb 2023, Published online: 13 Mar 2023

References

  • Blaak EE, Canfora EE, Theis S, Frost G, Groen AK, Mithieux G, Nauta A, Scott K, Stahl B, van Harsselaar J, et al. 2020. Short chain fatty acids in human gut and metabolic health. Benef Microbes. 11(5):411–455.
  • Bokulich NA, Kaehler BD, Rideout JR, Dillon M, Bolyen E, Knight R, Huttley GA, Caporaso JG. 2018. Optimizing taxonomic classification of marker-gene amplicon sequences with QIIME 2’s q2-feature-classifier plugin. Microbiome. 6(1):1–17.
  • Bolyen E, Rideout JR, Dillon MR, Bokulich NA, Abnet CC, Al-Ghalith GA, Alexander H, Alm EJ, Arumugam M, Asnicar F, et al. 2019. Reproducible, interactive, scalable and extensible microbiome data science using QIIME 2. Nat Biotechnol. 37(8):852–857.
  • Brodkorb A, Egger L, Alminger M, Alvito P, Assunção R, Ballance S, Bohn T, Bourlieu-Lacanal C, Boutrou R, Carrière F, et al. 2019. INFOGEST static in vitro simulation of gastrointestinal food digestion. Nat Protoc. 14(4):991–1014.
  • Callahan BJ, McMurdie PJ, Rosen MJ, Han AW, Johnson AJA, Holmes SP. 2016. DADA2: high-resolution sample inference from Illumina amplicon data. Nat Methods. 13(7):581–583.
  • Carding S, Verbeke K, Vipond DT, Corfe BM, Owen LJ. 2015. Dysbiosis of the gut microbiota in disease. Microb Ecol Health Dis. 26(0):26191.
  • Chambers ES, Viardot A, Psichas A, Morrison DJ, Murphy KG, Zac-Varghese SEK, MacDougall K, Preston T, Tedford C, Finlayson GS, et al. 2015. Effects of targeted delivery of propionate to the human colon on appetite regulation, body weight maintenance and adiposity in overweight adults. Gut. 64(11):1744–1754.
  • Crovesy L, Masterson D, Rosado EL. 2020. Profile of the gut microbiota of adults with obesity: a systematic review. Eur J Clin Nutr. 74(9):1251–1262.
  • De Filippis F, Pellegrini N, Vannini L, Jeffery IB, La Storia A, Laghi L, Serrazanetti DI, Di Cagno R, Ferrocino I, Lazzi C, et al. 2016. High-level adherence to a Mediterranean diet beneficially impacts the gut microbiota and associated metabolome. Gut. 65(11):1812–1821.
  • Deseo MA, Elkins A, Rochfort S, Kitchen B. 2020. Antioxidant activity and polyphenol composition of sugarcane molasses extract. Food Chem. 314:126180.
  • Douglas GM, Maffei VJ, Zaneveld JR, Yurgel SN, Brown JR, Taylor CM, Huttenhower C, Langille MG. 2020. PICRUSt2 for prediction of metagenome functions. Nat Biotechnol. 38(6):685–688.
  • Duda-Chodak A. 2012. The inhibitory effect of polyphenols on human gut microbiota. J Physiol Pharmacol. 63(5):497–503.
  • Eckburg PB, Bik EM, Bernstein CN, Purdom E, Dethlefsen L, Sargent M, Gill SR, Nelson KE, Relman DA. 2005. Diversity of the human intestinal microbial flora. Science. 308(5728):1635–1638.
  • Graf D, Di Cagno R, Fåk F, Flint HJ, Nyman M, Saarela M, Watzl B. 2015. Contribution of diet to the composition of the human gut microbiota. Microb Ecol Health Dis. 26(0):26164.
  • Gu C, Howell K, Padayachee A, Comino T, Chhan R, Zhang P, Ng K, Cottrell JJ, Dunshea FR. 2019. Effect of a polyphenol-rich plant matrix on colonic digestion and plasma antioxidant capacity in a porcine model. J Funct Foods. 57:211–221.
  • Heinritz SN, Mosenthin R, Weiss E. 2013. Use of pigs as a potential model for research into dietary modulation of the human gut microbiota. Nutr Res Rev. 26(2):191–209.
  • Jakobek L, Matić P. 2019. Non-covalent dietary fiber – polyphenol interactions and their influence on polyphenol bioaccessibility. Trends Food Sci Tech. 83:235–247.
  • Ji J, Yang X, Flavel M, Shields ZP-I, Kitchen B. 2019. Antioxidant and anti-diabetic functions of a polyphenol-rich sugarcane extract. J Am Coll Nutr. 38(8):670–680.
  • Jonathan MC, van den Borne JJ, van Wiechen P, da Silva CS, Schols HA, Gruppen H. 2012. In vitro fermentation of 12 dietary fibres by faecal inoculum from pigs and humans. Food Chem. 133(3):889–897.
  • Katoh K, Misawa K, Ki K, Miyata T. 2002. MAFFT: a novel method for rapid multiple sequence alignment based on fast Fourier transform. Nucleic Acids Res. 30(14):3059–3066.
  • Kemperman RA, Gross G, Mondot S, Possemiers S, Marzorati M, Van de Wiele T, Doré J, Vaughan EE. 2013. Impact of polyphenols from black tea and red wine/grape juice on a gut model microbiome. Food Res Int. 53(2):659–669.
  • Koh A, De Vadder F, Kovatcheva-Datchary P, Bäckhed F. 2016. From dietary fiber to host physiology: short-chain fatty acids as key bacterial metabolites. Cell. 165(6):1332–1345.
  • Liu D, Legras J-L, Zhang P, Chen D, Howell K. 2021. Diversity and dynamics of fungi during spontaneous fermentations and association with unique aroma profiles in wine. Int J Food Microbiol. 338:108983.
  • Loo YT, Howell K, Chan M, Zhang P, Ng K. 2020. Modulation of the human gut microbiota by phenolics and phenolic fiber-rich foods. Compr Rev Food Sci F. 19(4):1268–1298.
  • Loo YT, Howell K, Suleria H, Zhang P, Gu C, Ng K. 2022. Sugarcane polyphenol and fiber to affect production of short-chain fatty acids and microbiota composition using in vitro digestion and pig faecal fermentation model. Food Chem. 385:132665.
  • Lozupone CA, Stombaugh JI, Gordon JI, Jansson JK, Knight R. 2012. Diversity, stability and resilience of the human gut microbiota. Nature. 489(7415):220–230.
  • Magne F, Gotteland M, Gauthier L, Zazueta A, Pesoa S, Navarrete P, Balamurugan R. 2020. The firmicutes/bacteroidetes ratio: a relevant marker of gut dysbiosis in obese patients? Nutrients. 12(5):1474.
  • Marco ML, Pavan S, Kleerebezem M. 2006. Towards understanding molecular modes of probiotic action. Curr Opin Biotechnol. 17(2):204–210.
  • Morrison DJ, Preston T. 2016. Formation of short chain fatty acids by the gut microbiota and their impact on human metabolism. Gut Microbes. 7(3):189–200.
  • Nagata R, Sato S, Kilua A, Fukuma N, Nakayama Y, Kitazono E, Aoyama T, Han K-H, Fukushima M. 2021. Combined effects of BARLEYmax and cocoa polyphenols on colonic microbiota and bacterial metabolites in vitro. Food Sci Biotechnol. 30(11):1–9.
  • Pérez-Burillo S, Molino S, Navajas-Porras B, Valverde-Moya ÁJ, Hinojosa-Nogueira D, López-Maldonado A, Pastoriza S, Rufián-Henares JÁ. 2021. An in vitro batch fermentation protocol for studying the contribution of food to gut microbiota composition and functionality. Nat Protoc. 16(7):3186–3209.
  • Pluschke AM, Feng G, Williams BA, Gidley MJ. 2019. Partial replacement of meat by sugar cane fibre: cooking characteristics, sensory properties of beef burgers and in vitro fermentation of sugar cane fibre. Int J Food Sci Technol. 54(5):1760–1768.
  • Precup G, Vodnar D-C. 2019. Gut Prevotella as a possible biomarker of diet and its eubiotic versus dysbiotic roles: a comprehensive literature review. Br J Nutr. 122(2):131–140.
  • Price MN, Dehal PS, Arkin AP. 2010. FastTree 2–approximately maximum-likelihood trees for large alignments. PLoS One. 5(3):e9490.
  • R Core Team. 2021. R: a language and environment for statistical computing Vienna, Austria: R Foundation for Statistical Computing.
  • Re R, Pellegrini N, Proteggente A, Pannala A, Yang M, Rice-Evans C. 1999. Antioxidant activity applying an improved ABTS radical cation decolorization assay. Free Radic Biol Med. 26(9–10):1231–1237.
  • Roura E, Koopmans S-J, Lallès J-P, Le Huerou-Luron I, de Jager N, Schuurman T, Val-Laillet D. 2016. Critical review evaluating the pig as a model for human nutritional physiology. Nutr Res Rev. 29(1):60–90.
  • Segata N, Izard J, Waldron L, Gevers D, Miropolsky L, Garrett WS, Huttenhower C. 2011. Metagenomic biomarker discovery and explanation. Genome Biol. 12(6):R60–18.
  • Singleton VL, Rossi JA. 1965. Colorimetry of total phenolics with phosphomolybdic-phosphotungstic acid reagents. Am J Enol Viticult. 16(3):144–158.
  • Sirisena S, Ajlouni S, Ng K. 2018. Simulated gastrointestinal digestion and in vitro colonic fermentation of date (Phoenix dactylifera L.) seed polyphenols. Int J Food Sci Technol. 53(2):412–422.
  • Tang R, Yu H, Ruan Z, Zhang L, Xue Y, Yuan X, Qi M, Yao Y. 2022. Effects of food matrix elements (dietary fibres) on grapefruit peel flavanone profile and on faecal microbiota during in vitro fermentation. Food Chem. 371:131065.
  • Thursby E, Juge N. 2017. Introduction to the human gut microbiota. Biochem J. 474(11):1823–1836.
  • Tomas M, Rocchetti G, Ghisoni S, Giuberti G, Capanoglu E, Lucini L. 2020. Effect of different soluble dietary fibres on the phenolic profile of blackberry puree subjected to in vitro gastrointestinal digestion and large intestine fermentation. Food Res Int. 130:108954.
  • Tong X, Xu J, Lian F, Yu X, Zhao Y, Xu L, Zhang M, Zhao X, Shen J, Wu S, et al. 2018. Structural alteration of gut microbiota during the amelioration of human type 2 diabetes with hyperlipidemia by metformin and a traditional Chinese herbal formula: a multicenter, randomized, open label clinical trial. MBio. 9(3):e02392–02317.
  • Turroni F, Ventura M, Buttó LF, Duranti S, O’Toole PW, Motherway MOC, van Sinderen D. 2014. Molecular dialogue between the human gut microbiota and the host: a Lactobacillus and Bifidobacterium perspective. Cell Mol Life Sci. 71(2):183–203.
  • Udayappan S, Manneras-Holm L, Chaplin-Scott A, Belzer C, Herrema H, Dallinga-Thie GM, Duncan SH, Stroes ESG, Groen AK, Flint HJ, et al. 2016. Oral treatment with Eubacterium hallii improves insulin sensitivity in db/db mice. Npj Biofilms Microbiomes. 2(1):1–10.
  • Wang B-S, Chang L-W, Kang Z-C, Chu H-L, Tai H-M, Huang M-H. 2011. Inhibitory effects of molasses on mutation and nitric oxide production. Food Chem. 126(3):1102–1107.
  • Wang T, Cai G, Qiu Y, Fei N, Zhang M, Pang X, Jia W, Cai S, Zhao L. 2012. Structural segregation of gut microbiota between colorectal cancer patients and healthy volunteers. Isme J. 6(2):320–329.
  • Xiao L, Estellé J, Kiilerich P, Ramayo-Caldas Y, Xia Z, Feng Q, Liang S, Pedersen AØ, Kjeldsen NJ, Liu C, et al. 2016. A reference gene catalogue of the pig gut microbiome. Nat Microbiol. 1(12):1–6.
  • Zhang Q, Xiao X, Li M, Yu M, Ping F, Zheng J, Wang T, Wang X. 2017. Vildagliptin increases butyrate-producing bacteria in the gut of diabetic rats. PLoS One. 12(10):e0184735.
  • Zhang Y, Han SW, Cox LM, Li H. 2017. A multivariate distance-based analytic framework for microbial interdependence association test in longitudinal study. Genet Epidemiol. 41(8):769–778.
  • Zhao J, Ning X, Liu B, Dong R, Bai M, Sun S. 2021. Specific alterations in gut microbiota in patients with chronic kidney disease: an updated systematic review. Renal Failure. 43(1):102–112.