nach oben

Erschienen in:

29.10.2019 | Original Contribution

Dietary intervention using (1,3)/(1,6)-β-glucan, a fungus-derived soluble prebiotic ameliorates high-fat diet-induced metabolic distress and alters beneficially the gut microbiota in mice model

verfasst von: Karthika Muthuramalingam, Vineet Singh, Changmin Choi, Seung In Choi, Young Mee Kim, Tatsuya Unno, Moonjae Cho

Erschienen in: European Journal of Nutrition | Ausgabe 6/2020

Einloggen, um Zugang zu erhalten

Abstract

Purpose

Western diet, rich in carbohydrates and fat, is said to be a major factor underlying metabolic syndrome. Interventions with prebiotics, the key modulators of the gut microbiota, have paramount impact on host-associated metabolic disorders. Herein, we investigated the effect of fungus-derived (1,3)/(1,6)-β-glucan, a highly soluble dietary fiber, on high-fat diet (HFD)-induced metabolic distress.

Methods

Male C57BL/6 J mice were fed with different diet groups (n = 11): control diet, HFD, 3 g/kg or 5 g/kg of β-glucan-incorporated HFD. At the end of experimental study period (12th week), body weight, feces weight and fecal moisture content were observed. Further, colonic motility was measured using activated charcoal meal study. Proteins extracted from liver and intestine tissues were subjected to western blot technique. Paraffin-embedded intestinal tissues were sectioned for histochemical [Periodic acid-Schiff (PAS) and Alcian blue (AB) staining] analysis. Fecal microbiota analysis was performed using MOTHUR bioinformatic software.

Results

β-glucan consumption exhibited anti-obesity property in mice groups fed with HFD. In addition, β-glucan ameliorated HFD-induced hepatic stress, colonic motility and intestinal atrophy (reduction in colon length, goblet cells, and mucosal layer thickness). Further, β-glucan incorporation shifted bacterial community by increasing butyrate-producing bacteria such as Anaerostipes, Coprobacillus, and Roseburia and decreasing reportedly obesity-associated bacteria such as Parabacteroides and Lactococcus.

Conclusion

Altogether, the outcomes of this present pre-clinical animal study show β-glucan to be a promising therapeutic candidate in the treatment of HFD-induced metabolic distress. Further comprehensive research has to be conducted to brace its clinical relevance, reproducibility and efficacy for aiding human health.

Graphical abstract

Nur mit Berechtigung zugänglich

Morinaka T, Wozniewicz M, Jeszka J et al (2013) Westernization of dietary patterns among young Japanese and polish females—a comparison study. Ann Agric Environ Med 20:122–130PubMed

Moreno-Fernández S, Garcés-Rimón M, Vera G et al (2018) High fat/high glucose diet induces metabolic syndrome in an experimental rat model. Nutrients 10:1–15. https://doi.org/10.3390/nu10101502CrossRef

Kleinert S, Horton R (2019) Obesity needs to be put into a much wider context. Lancet 393:724–726. https://doi.org/10.1016/s0140-6736(18)33192-1CrossRefPubMed

OECD/EU (2017) Obesity update 2017. OECD Update Rep 13:331–341. https://doi.org/10.1007/s11428-017-0241-7CrossRef

O’Connor S, Chouinard-Castonguay S, Gagnon C, Rudkowska I (2017) Prebiotics in the management of components of the metabolic syndrome. Maturitas 104:11–18. https://doi.org/10.1016/j.maturitas.2017.07.005CrossRefPubMed

de Cossío LF, Fourrier C, Sauvant J et al (2017) Impact of prebiotics on metabolic and behavioral alterations in a mouse model of metabolic syndrome. Brain Behav Immun 64:33–49. https://doi.org/10.1016/j.bbi.2016.12.022CrossRefPubMed

Turnbaugh PJ, Ley RE, Mahowald MA et al (2006) An obesity-associated gut microbiome with increased capacity for energy harvest. Nature 444:1027–1031. https://doi.org/10.1038/nature05414CrossRef

Sonnenburg JL, Bäckhed F (2019) Diet—microbiota interactions as moderators of human metabolism Diet as an important modulator of the. 1–29

Holmes AJ, Chew YV, Colakoglu F et al (2017) Diet–microbiome interactions in health are controlled by intestinal nitrogen source constraints. Cell Metab 25:140–151. https://doi.org/10.1016/j.cmet.2016.10.021CrossRefPubMed

10.

Valdes AM, Walter J, Segal E, Spector TD (2018) Role of the gut microbiota in nutrition and health. BMJ (Online) 361:36–44. https://doi.org/10.1136/bmj.k2179CrossRef

11.

Vinke PC, El Aidy S, van Dijk G (2017) The role of supplemental complex dietary carbohydrates and gut microbiota in promoting cardiometabolic and immunological health in obesity: lessons from healthy non-obese individuals. Front Nutr 4:1–15. https://doi.org/10.3389/fnut.2017.00034CrossRef

12.

Poeker SA, Geirnaert A, Berchtold L et al (2018) Understanding the prebiotic potential of different dietary fibers using an in vitro continuous adult fermentation model (PolyFermS). Sci Rep 8:1–12. https://doi.org/10.1038/s41598-018-22438-yCrossRef

13.

Sanz Y, Santacruz A (2010) Probiotics and prebiotics in metabolic disorders and obesity, 1st edn. Elsevier Inc, Amsterdam

14.

Ferrarese R, Ceresola ER, Preti A, Canducci F (2018) Probiotics, prebiotics and synbiotics for weight loss and metabolic syndrome in the microbiome era. Eur Rev Med Pharmacol Sci 22:7588–7605PubMed

15.

Kumar Raut S, Bandawane D (2018) A systematic review on animal models of metabolic syndrome. Int J Pharma Res Health Sci 6:2089–2098. https://doi.org/10.21276/ijprhs.2018.01.04CrossRef

16.

Della Vedova MC, Muñoz MD, Santillan LD et al (2016) A mouse model of diet-induced obesity resembling most features of human metabolic syndrome. Nutr Metab Insights 9:93–102. https://doi.org/10.4137/NMI.S32907CrossRefPubMedPubMedCentral

17.

Glastras SJ, Chen H, Teh R et al (2016) Mouse models of diabetes, obesity and related kidney disease. PLoS One 11:1–15. https://doi.org/10.1371/journal.pone.0162131CrossRef

18.

Wong KS, Chin K-Y, Hj Suhaimi F et al (2016) Animal models of metabolic syndrome: a review. Nutr Metab 13:1–25CrossRef

19.

Schloss PD, Westcott SL, Ryabin T et al (2009) Introducing mothur: open-source, platform-independent, community-supported software for describing and comparing microbial communities. Appl Environ Microbiol 75:7537–7541. https://doi.org/10.1128/AEM.01541-09CrossRefPubMedPubMedCentral

20.

Quast C, Pruesse E, Yilmaz P et al (2013) The SILVA ribosomal RNA gene database project: improved data processing and web-based tools. Nucleic Acids Res 41:590–596. https://doi.org/10.1093/nar/gks1219CrossRef

21.

Edgar RC, Haas BJ, Clemente JC et al (2011) UCHIME improves sensitivity and speed of chimera detection. Bioinformatics 27:2194–2200. https://doi.org/10.1093/bioinformatics/btr381CrossRefPubMedPubMedCentral

22.

Larsen N, Brodie EL, Andersen GL et al (2006) Greengenes, a chimera-checked 16S rRNA gene database and workbench compatible with ARB. Appl Environ Microbiol 72:5069–5072. https://doi.org/10.1128/aem.03006-05CrossRefPubMedPubMedCentral

23.

Westcott SL, Schloss PD (2017) OptiClust, an improved method for assigning amplicon-based sequence data to operational taxonomic units. mSphere 2:1–11. https://doi.org/10.1128/mspheredirect.00073-17CrossRef

24.

Clarke KR, Somerfield PJ, Chapman MG (2006) On resemblance measures for ecological studies, including taxonomic dissimilarities and a zero-adjusted Bray–Curtis coefficient for denuded assemblages. J Exp Mar Biol Ecol 330:55–80. https://doi.org/10.1016/j.jembe.2005.12.017CrossRef

25.

Delroisse JM, Boulvin AL, Parmentier I et al (2008) Quantification of Bifidobacterium spp. and Lactobacillus spp. in rat fecal samples by real-time PCR. Microbiol Res 163:663–670. https://doi.org/10.1016/j.micres.2006.09.004CrossRefPubMed

26.

Segata N, Izard J, Waldron L et al (2011) Metagenomic biomarker discovery and explanation. Genome Biol. https://doi.org/10.1186/gb-2011-12-6-r60CrossRefPubMedPubMedCentral

27.

Ung K-A, Kilander AF, Lindgren A, Abrahamsson H (2008) Impact of bile acid malabsorption on steatorrhoea and symptoms in patients with chronic diarrhoea. Eur J Gastroenterol Hepatol 12:541–548. https://doi.org/10.1097/00042737-200012050-00011CrossRef

28.

Ley RE, Turnbaugh PJ, Klein S, Gordon JI (2006) Human gut microbes associated with obesity. Nature 444:1022–1023. https://doi.org/10.1038/4441022aCrossRefPubMed

29.

Liu Z, Patil IY, Jiang T et al (2015) High-fat diet induces hepatic insulin resistance and impairment of synaptic plasticity. PLoS One 10:1–16. https://doi.org/10.1371/journal.pone.0128274CrossRef

30.

Anitha M, Reichardt F, Tabatabavakili S et al (2016) Intestinal dysbiosis contributes to the delayed gastrointestinal transit in high-fat diet fed mice. Cmgh 2:328–339. https://doi.org/10.1016/j.jcmgh.2015.12.008CrossRefPubMedPubMedCentral

31.

Taba Taba Vakili S, Nezami BG, Shetty A et al (2015) Association of high dietary saturated fat intake and uncontrolled diabetes with constipation: evidence from the national health and nutrition examination survey. Neurogastroenterol Motil 27:1389–1397. https://doi.org/10.1111/nmo.12630CrossRefPubMed

32.

Lee WJ, Kim M, Park HS et al (2006) AMPK activation increases fatty acid oxidation in skeletal muscle by activating PPARα and PGC-1. Biochem Biophys Res Commun 340:291–295. https://doi.org/10.1016/j.bbrc.2005.12.011CrossRefPubMed

33.

Oishi K, Yamamoto S, Itoh N et al (2015) Wheat alkylresorcinols suppress high-fat, high-sucrose diet-induced obesity and glucose intolerance by increasing insulin sensitivity and cholesterol excretion in male mice. J Nutr 145:199–206. https://doi.org/10.3945/jn.114.202754CrossRefPubMed

34.

Kong S, Zhang YH, Zhang W (2018) Regulation of intestinal epithelial cells properties and functions by amino acids. Biomed Res Int 2018:1–10. https://doi.org/10.1155/2018/2819154CrossRef

35.

Okumura R, Takeda K (2017) Roles of intestinal epithelial cells in the maintenance of gut homeostasis. Exp Mol Med 49:e338. https://doi.org/10.1038/emm.2017.20CrossRefPubMedPubMedCentral

36.

Fyderek K, Strus M, Kowalska-Duplaga K et al (2009) Mucosal bacterial microflora and mucus layer thickness in adolescents with inflammatory bowel disease. World J Gastroenterol 15:5287–5294. https://doi.org/10.3748/wjg.15.5287CrossRefPubMedPubMedCentral

37.

Camilleri M (2016) High-fat diet, dysbiosis, and gastrointestinal and colonic transit: is there a missing link? Cmgh 2:257–258. https://doi.org/10.1016/j.jcmgh.2016.02.002CrossRefPubMedPubMedCentral

38.

Gulhane M, Murray L, Lourie R et al (2016) High fat diets induce colonic epithelial cell stress and inflammation that is reversed by IL-22. Sci Rep 6:1–17. https://doi.org/10.1038/srep28990CrossRef

39.

Ye J, Lv L, Wu W et al (2018) Butyrate protects mice against methionine–choline-deficient diet-induced non-alcoholic steatohepatitis by improving gut barrier function, attenuating inflammation and reducing endotoxin levels. Front Microbiol 9:1–16. https://doi.org/10.3389/fmicb.2018.01967CrossRef

40.

Sato T, Matsumoto K, Okumura T et al (2008) Isolation of lactate-utilizing butyrate-producing bacteria from human feces and in vivo administration of anaerostipes caccae strain L2 and galacto-oligosaccharides in a rat model. FEMS Microbiol Ecol 66:528–536. https://doi.org/10.1111/j.1574-6941.2008.00528.xCrossRefPubMed

41.

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 165:1332–1345. https://doi.org/10.1016/j.cell.2016.05.041CrossRef

42.

Belenguer A, Duncan SH, Calder AG et al (2006) Two routes of metabolic cross-feeding between Bifidobacterium adolescentis and butyrate-producing anaerobes from the human gut. Appl Environ Microbiol 72:3593–3599. https://doi.org/10.1128/AEM.72.5.3593-3599.2006CrossRefPubMedPubMedCentral

43.

Zhao J, Cheung PCK (2011) Fermentation of β-glucans derived from different sources by bifidobacteria: evaluation of their bifidogenic effect. J Agric Food Chem 59:5986–5992. https://doi.org/10.1021/jf200621yCrossRefPubMed

44.

Alcon-Giner C, Caim S, Mitra S et al (2017) Optimisation of 16S rRNA gut microbiota profiling of extremely low birth weight infants. BMC Genom 18:1–15. https://doi.org/10.1186/s12864-017-4229-xCrossRef

45.

Unno T, Choi J-H, Hur H-G et al (2015) Changes in human gut microbiota influenced by probiotic fermented milk ingestion. J Dairy Sci 98:3568–3576. https://doi.org/10.3168/jds.2014-8943CrossRefPubMed

46.

Graspeuntner S, Loeper N, Künzel S et al (2018) Selection of validated hypervariable regions is crucial in 16S-based microbiota studies of the female genital tract. Sci Rep 8:4–10. https://doi.org/10.1038/s41598-018-27757-8CrossRef

47.

Hu L, Lu W, Wang L et al (2017) Assessment of Bifidobacterium species using groEL gene on the basis of illumina miseq high-throughput sequencing. Genes. https://doi.org/10.3390/genes8110336CrossRefPubMedPubMedCentral

48.

Loy A, Pfann C, Steinberger M et al (2017) Lifestyle and horizontal gene transfer-mediated evolution of mucispirillum schaedleri, a core member of the murine gut microbiota. mSystems 2:10–11. https://doi.org/10.1128/msystems.00171-16CrossRef

49.

Ormerod KL, Wood DLA, Lachner N et al (2016) Genomic characterization of the uncultured bacteroidales family S24-7 inhabiting the guts of homeothermic animals. Microbiome 4:1–17. https://doi.org/10.1186/s40168-016-0181-2CrossRef

50.

Lecomte V, Kaakoush NO, Maloney CA et al (2015) Changes in gut microbiota in rats fed a high fat diet correlate with obesity-associated metabolic parameters. PLoS One. https://doi.org/10.1371/journal.pone.0126931CrossRefPubMedPubMedCentral

51.

Qiao Y, Sun J, Xie Z et al (2014) Propensity to high-fat diet-induced obesity in mice is associated with the indigenous opportunistic bacteria on the interior of Peyer’s patches. J Clin Biochem Nutr 55:120–128. https://doi.org/10.3164/jcbn.14-38CrossRefPubMedPubMedCentral

Titel: Dietary intervention using (1,3)/(1,6)-β-glucan, a fungus-derived soluble prebiotic ameliorates high-fat diet-induced metabolic distress and alters beneficially the gut microbiota in mice model
verfasst von: Karthika Muthuramalingam
Vineet Singh
Changmin Choi
Seung In Choi
Young Mee Kim
Tatsuya Unno
Moonjae Cho
Publikationsdatum: 29.10.2019
Verlag: Springer Berlin Heidelberg
Erschienen in: European Journal of Nutrition / Ausgabe 6/2020
Print ISSN: 1436-6207
Elektronische ISSN: 1436-6215
DOI: https://doi.org/10.1007/s00394-019-02110-5

Leitlinien kompakt für die Innere Medizin

Mit medbee Pocketcards sicher entscheiden.

^{Seit 2022 gehört die medbee GmbH zum Springer Medizin Verlag}

Kostenlos registrieren

Neu im Fachgebiet Innere Medizin

Erhöhte Mortalität bei postpartalem Brustkrebs

07.05.2024 Mammakarzinom Nachrichten

Auch für Trägerinnen von BRCA-Varianten gilt: Erkranken sie fünf bis zehn Jahre nach der letzten Schwangerschaft an Brustkrebs, ist das Sterberisiko besonders hoch.

Hypertherme Chemotherapie bietet Chance auf Blasenerhalt

07.05.2024 Harnblasenkarzinom Nachrichten

Eine hypertherme intravesikale Chemotherapie mit Mitomycin kann für Patienten mit hochriskantem nicht muskelinvasivem Blasenkrebs eine Alternative zur radikalen Zystektomie darstellen. Kölner Urologen berichten über ihre Erfahrungen.

Ein Drittel der jungen Ärztinnen und Ärzte erwägt abzuwandern

07.05.2024 Medizinstudium Nachrichten

Extreme Arbeitsverdichtung und kaum Supervision: Dr. Andrea Martini, Sprecherin des Bündnisses Junge Ärztinnen und Ärzte (BJÄ) über den Frust des ärztlichen Nachwuchses und die Vorteile des Rucksack-Modells.

Vorhofflimmern bei Jüngeren gefährlicher als gedacht

06.05.2024 Vorhofflimmern Nachrichten

Immer mehr jüngere Menschen leiden unter Vorhofflimmern. Betroffene unter 65 Jahren haben viele Risikofaktoren und ein signifikant erhöhtes Sterberisiko verglichen mit Gleichaltrigen ohne die Erkrankung.

Update Innere Medizin

Bestellen Sie unseren Fach-Newsletter und bleiben Sie gut informiert.

Newsletter bestellen

Bildnachweise

Die Leitlinien für Ärztinnen und Ärzte, Digitale Mammographien links in kraniokaudaler Projektion./© Weigel, S. et al. / all rights reserved Springer Medizin Verlag GmbH, Operation bei Blasenkrebs/© anistidesign / Fotolia, Medizinische Fachangestellte sitzt erschöpft auf der Treppe/© Courtney Haas / peopleimages.com /stock.adobe.com (Symbolbild mit Fotomodell), Mann wird von Ärztin untersucht/© Tashi-Delek, Getty Images, iStock (Symbolbild mit Fotomodellen)

Springer Medizin

Abstract

Purpose

Methods

Results

Conclusion

Graphical abstract

Bitte loggen Sie sich ein, um Zugang zu diesem Inhalt zu erhalten

Weitere Artikel der Ausgabe 6/2020

Co-ingestion of whey protein hydrolysate with milk minerals rich in calcium potently stimulates glucagon-like peptide-1 secretion: an RCT in healthy adults

Daily intake of heat-killed Lactobacillus plantarum L-137 improves inflammation and lipid metabolism in overweight healthy adults: a randomized-controlled trial

Metabolically and immunologically beneficial impact of extra virgin olive and flaxseed oils on composition of gut microbiota in mice

Correction to: Low-phytate wholegrain bread instead of high-phytate wholegrain bread in a total diet context did not improve iron status of healthy Swedish females: a 12 week, randomized, parallel-design intervention study

The lipid-lowering effect of once-daily soya drink fortified with phytosterols in normocholesterolaemic Chinese: a double-blind randomized controlled trial