JOURNAL BROWSE
Search
Advanced SearchSearch Tips
Changes of Mouse Gut Microbiota Diversity and Composition by Modulating Dietary Protein and Carbohydrate Contents: A Pilot Study
facebook(new window)  Pirnt(new window) E-mail(new window) Excel Download
  • Journal title : Preventive Nutrition and Food Science
  • Volume 21, Issue 1,  2016, pp.57-61
  • Publisher : The Korean Society of Food Science and Nutrition
  • DOI : 10.3746/pnf.2016.21.1.57
 Title & Authors
Changes of Mouse Gut Microbiota Diversity and Composition by Modulating Dietary Protein and Carbohydrate Contents: A Pilot Study
Kim, Eunjung; Kim, Dan-Bi; Park, Jae-Yong;
  PDF(new window)
 Abstract
Dietary proteins influence colorectal cancer (CRC) risk, depending on their quantity and quality. Here, using pyrosequencing, we compared the fecal microbiota composition in Balb/c mice fed either a normal protein/carbohydrate diet (ND, 20% casein and 68% carbohydrate) or a high-protein/low-carbohydrate diet (HPLCD, 30% casein and 57% carbohydrate). The results showed that HPLCD feeding for 2 weeks reduced the diversity and altered the composition of the microbiota compared with the ND mice, which included a decrease in the proportion of the family Lachnospiraceae and Ruminococcaceae and increases in the proportions of the genus Bacteroides and Parabacteroides, especially the species EF09600_s and EF604598_s. Similar changes were reported in patients with inflammatory bowel disease, and in mouse models of CRC and colitis, respectively. This suggests that HPLCD may lead to a deleterious luminal environment and may have adverse effects on the intestinal health of individuals consuming such a diet.
 Keywords
gut microbiota;high protein diet;low carbohydrate diet;pyrosequencing;mouse;
 Language
English
 Cited by
1.
Fecal Microbiota and Diet of Children with Chronic Constipation, International Journal of Pediatrics, 2016, 2016, 1  crossref(new windwow)
2.
Weight-loss interventions and gut microbiota changes in overweight and obese patients: a systematic review, Obesity Reviews, 2017, 18, 8, 832  crossref(new windwow)
3.
Effect of Sweetened Dried Cranberry Consumption on Urinary Proteome and Fecal Microbiome in Healthy Human Subjects, OMICS: A Journal of Integrative Biology, 2017  crossref(new windwow)
 References
1.
Akin H, Tozun N. 2014. Diet, microbiota, and colorectal cancer. J Clin Gastroenterol 48: S67-S69. crossref(new window)

2.
Kim E, Coelho D, Blachier F. 2013. Review of the association between meat consumption and risk of colorectal cancer. Nutr Res 33: 983-994. crossref(new window)

3.
Hooda S, Boler Vester BM, Serao Rossoni MC, Brulc JM, Staeger MA, Boileau TW, Dowd SE, Fahey GC Jr, Swanson KS. 2012. 454 pyrosequencing reveals a shift in fecal microbiota of healthy adult men consuming polydextrose or soluble corn fiber. J Nutr 142: 1259-1265. crossref(new window)

4.
Martinez-Medina M, Denizot J, Dreux N, Robin F, Billard E, Bonnet R, Darfeuille-Michaud A, Barnich N. 2014. Western diet induces dysbiosis with increased E. coli in CEABAC10 mice, alters host barrier function favouring AIEC colonisation. Gut 63: 116-124. crossref(new window)

5.
Walker AW, Ince J, Duncan SH, Webster LM, Holtrop G, Ze X, Brown D, Stares MD, Scott P, Bergerat A, Louis P, McIntosh F, Johnstone AM, Lobley GE, Parkhill J, Flint HJ. 2011. Dominant and diet-responsive groups of bacteria within the human colonic microbiota. ISME J 5: 220-230. crossref(new window)

6.
Blachier F, Mariotti F, Huneau JF, Tome D. 2007. Effects of amino acid-derived luminal metabolites on the colonic epithelium and physiopathological consequences. Amino Acids 33: 547-562. crossref(new window)

7.
Liu X, Blouin JM, Santacruz A, Lan A, Andriamihaja M, Wilkanowicz S, Benetti PH, Tome D, Sanz Y, Blachier F, Davila AM. 2014. High-protein diet modifies colonic microbiota and luminal environment but not colonocyte metabolism in the rat model: the increased luminal bulk connection. Am J Physiol Gastrointest Liver Physiol 307: G459-G470. crossref(new window)

8.
Chun J, Kim KY, Lee JH, Choi Y. 2010. The analysis of oral microbial communities of wild-type and toll-like receptor 2-deficient mice using a 454 GS FLX Titanium pyrosequencer. BMC Microbiol 10: 101. crossref(new window)

9.
Kim OS, Cho YJ, Lee K, Yoon SH, Kim M, Na H, Park SC, Jeon YS, Lee JH, Yi H, Won S, Chun J. 2012. Introducing EzTaxone: a prokaryotic 16S rRNA gene sequence database with phylotypes that represent uncultured species. Int J Syst Evol Microbiol 62: 716-721. crossref(new window)

10.
Zackular JP, Bzxter NT, Iverson KD, Sadler WD, Petrosino JF, Chen GY, Schloss PD. 2013. The gut microbiome modulates colon tumorigenesis. mBio 4: e00692-13.

11.
Abrahamsson TR, Jakobsson HE, Andersson AF, Bjorksten B, Engstrand L, Jenmalm MC. 2012. Low diversity of the gut microbiota in infants with atopic eczema. J Allergy Clin Immunol 129: 434-440. crossref(new window)

12.
Dicksved J, Halfvarson J, Rosenquist M, Jarnerot G, Tysk C, Apajalahti J, Engstrand L, Jansson JK. 2008. Molecular analysis of the gut microbiota of identical twins with Crohn's disease. ISME J 2: 716-727. crossref(new window)

13.
Gao Z, Guo B, Gao R, Zhu Q, Qin H. 2015. Microbiota disbiosis is associated with colorectal cancer. Front Microbiol 6: 20.

14.
Ley RE, Backhed F, Turnbaugh P, Lozupone CA, Knight RD, Gordon JI. 2005. Obesity alters gut microbial ecology. Proc Natl Acad Sci USA 102: 11070-11075. crossref(new window)

15.
Ley RE, Turnbaugh PJ, Klein S, Gordon JI. 2006. Microbial ecology: human gut microbes associated with obesity. Nature 444: 1022-1023. crossref(new window)

16.
Johnstone AM, Horgan GW, Murison SD, Bremner DM, Lobley GE. 2008. Effects of a high-protein ketogenic diet on hunger, appetite, and weight loss in obese men feeding ad libitum. Am J Clin Nutr 87: 44-55.

17.
Meehan CJ, Beiko RG. 2014. A phylogenomic view of ecological specialization in the Lachnospiraceae, a family of digestive tract-associated bacteria. Genome Biol Evol 6: 703-713. crossref(new window)

18.
Frank DN, St. Amand AL, Feldman RA, Boedeker EC, Harpaz N, Pace NR. 2007. Molecular-phylogenetic characterization of microbial community imbalances in human inflammatory bowel diseases. Proc Natl Acad Sci USA 104: 13780-13785. crossref(new window)

19.
Zhu Q, Jin Z, Wu W, Gao R, Guo B, Gao Z, Yang Y, Qin H. 2014. Analysis of the intestinal lumen microbiota in an animal model of colorectal cancer. PLoS One 9: e90849. crossref(new window)

20.
Chen W, Liu F, Ling Z, Tong X, Xiang C. 2012. Human intestinal lumen and mucosa-associated microbiota in patients with colorectal cancer. PLoS One 7: e39743. crossref(new window)

21.
Zhu Q, Gao R, Wu W, Qin H. 2013. The role of gut microbiota in the pathogenesis of colorectal cancer. Tumour Biol 34: 1285-1300. crossref(new window)

22.
Kim KA, Jang SE, Jeong JJ, Yu DH, Han MJ, Kim DH. 2014. Doenjang, a Korean soybean paste, ameliorates TNBS-induced colitis in mice by suppressing gut microbial lipopolysaccharide production and $NF-{\kappa}B$ activation. J Funct Foods 11: 417-427. crossref(new window)