Display options
Cite
Ijaz MU, Ahmed MI, Zou X, et al. Beef, Casein, and Soy Proteins Differentially Affect Lipid Metabolism, Triglycerides Accumulation and Gut Microbiota of High-Fat Diet-Fed C57BL/6J Mice. Front Microbiol. 2018;9:2200doi: 10.3389/fmicb.2018.02200.
Ijaz, M. U., Ahmed, M. I., Zou, X., Hussain, M., Zhang, M., Zhao, F., Xu, X., Zhou, G., & Li, C. (2018). Beef, Casein, and Soy Proteins Differentially Affect Lipid Metabolism, Triglycerides Accumulation and Gut Microbiota of High-Fat Diet-Fed C57BL/6J Mice. Frontiers in microbiology, 92200. https://doi.org/10.3389/fmicb.2018.02200
Ijaz, Muhammad Umair, et al. "Beef, Casein, and Soy Proteins Differentially Affect Lipid Metabolism, Triglycerides Accumulation and Gut Microbiota of High-Fat Diet-Fed C57BL/6J Mice." Frontiers in microbiology vol. 9 (2018): 2200. doi: https://doi.org/10.3389/fmicb.2018.02200
Ijaz MU, Ahmed MI, Zou X, Hussain M, Zhang M, Zhao F, Xu X, Zhou G, Li C. Beef, Casein, and Soy Proteins Differentially Affect Lipid Metabolism, Triglycerides Accumulation and Gut Microbiota of High-Fat Diet-Fed C57BL/6J Mice. Front Microbiol. 2018 Sep 24;9:2200. doi: 10.3389/fmicb.2018.02200. eCollection 2018. PMID: 30319558; PMCID: PMC6165900.
Copy Download .nbib Format: NLM
Share it on

Front Microbiol. 2018 Sep 24;9:2200. doi: 10.3389/fmicb.2018.02200. eCollection 2018.

Beef, Casein, and Soy Proteins Differentially Affect Lipid Metabolism, Triglycerides Accumulation and Gut Microbiota of High-Fat Diet-Fed C57BL/6J Mice.

Frontiers in microbiology

Muhammad Umair Ijaz, Muhammad Ijaz Ahmed, Xiaoyou Zou, Muzahir Hussain, Min Zhang, Fan Zhao, Xinglian Xu, Guanghong Zhou, Chunbao Li

Affiliations

  1. Key Laboratory of Meat Processing and Quality Control, MOE, Jiangsu Collaborative Innovation Center of Meat Production, Processing and Quality Control, Nanjing Agricultural University, Nanjing, China.
  2. Key Laboratory of Meat Processing, MOA, Jiangsu Collaborative Innovation Center of Meat Production, Processing and Quality Control, Nanjing Agricultural University Nanjing, China.

PMID: 30319558 PMCID: PMC6165900 DOI: 10.3389/fmicb.2018.02200

Abstract

Consumption of dietary protein at recommended levels is considered a potential strategy to promote satiety and weight management, but how protein from different dietary sources effect the obesity development, lipid metabolism, and gut microbiota is not known. This study focused on the effects of beef, casein, and soy protein diet on lipid metabolism, triglycerides accumulation, and microbial diversity in colon of C57BL/6J mice, which were given either low-fat diets (LFD, 12% Kcal) or high-fat diets (HFD, 60% Kcal) for 12 weeks. Body and liver weight increased significantly in mice fed a beef protein HFD (HFB), whereas reduced cumulative energy intake was seen in a soy protein HFD (HFS) group. HFB-fed mice showed signs of impaired glucose metabolism and insulin resistance along with a significant elevation in the concentration of triglycerides, LDL-cholesterol, total cholesterol, IL1β, TNF-α, IL-6, and leptin in serum. HFB also enhanced lipid accumulation in liver with increased activity of genes important for lipogenesis and hepatic cholesterol metabolism. A 16S rRNA gene sequencing indicated that HFD, regardless of proteins, significantly enhanced the ratio of

Keywords: diet induced obesity; dietary proteins; gut microbiota; lipid metabolism; triglyceride accumulation

References

  1. Am J Clin Nutr. 2012 Dec;96(6):1281-98 - PubMed
  2. Genome Biol. 2011 Jun 24;12(6):R60 - PubMed
  3. J Nutr Sci Vitaminol (Tokyo). 2012;58(1):14-9 - PubMed
  4. Am J Clin Nutr. 2008 May;87(5):1576S-1581S - PubMed
  5. Cell. 2015 Feb 12;160(4):745-758 - PubMed
  6. Nat Commun. 2017 Jul 11;8:16130 - PubMed
  7. Int J Obes (Lond). 2012 Jun;36(6):817-25 - PubMed
  8. ISME J. 2011 Feb;5(2):169-72 - PubMed
  9. Hepatology. 2010 Feb;51(2):679-89 - PubMed
  10. Cell Metab. 2012 May 2;15(5):665-74 - PubMed
  11. FASEB J. 2018 Jul;32(7):4004-4015 - PubMed
  12. Methods. 2001 Dec;25(4):402-8 - PubMed
  13. ISME J. 2013 Jul;7(7):1344-53 - PubMed
  14. Nature. 2006 Dec 14;444(7121):881-7 - PubMed
  15. Cell Host Microbe. 2012 Sep 13;12(3):277-88 - PubMed
  16. J Clin Endocrinol Metab. 2004 Jun;89(6):2595-600 - PubMed
  17. Toxicol Sci. 2002 Sep;69(1):234-43 - PubMed
  18. Diabetes Metab Res Rev. 2006 Nov-Dec;22(6):437-43 - PubMed
  19. Microbes Infect. 2006 Mar;8(3):946-52 - PubMed
  20. Genome Res. 2015 Oct;25(10):1558-69 - PubMed
  21. Adipocyte. 2016 Mar 17;5(2):196-211 - PubMed
  22. Lancet. 2010 Jan 16;375(9710):181-3 - PubMed
  23. Ann N Y Acad Sci. 2013 Apr;1281:141-59 - PubMed
  24. Proc Natl Acad Sci U S A. 2013 May 28;110(22):9066-71 - PubMed
  25. Circulation. 2016 Jan 12;133(2):187-225 - PubMed
  26. Br J Nutr. 2012 Aug;108 Suppl 2:S222-9 - PubMed
  27. Nature. 2012 Sep 13;489(7415):242-9 - PubMed
  28. Br J Nutr. 2012 Aug;108 Suppl 2:S105-12 - PubMed
  29. Diabetes. 2011 Nov;60(11):2775-86 - PubMed
  30. BMB Rep. 2017 Jul;50(7):367-372 - PubMed
  31. ISME J. 2013 Apr;7(4):880-4 - PubMed
  32. Food Nutr Res. 2012;56:null - PubMed
  33. J Biol Chem. 1999 Oct 15;274(42):30028-32 - PubMed
  34. Sci Transl Med. 2009 Nov 11;1(6):6ra14 - PubMed
  35. J Clin Invest. 1998 Jun 1;101(11):2331-9 - PubMed
  36. Circ Res. 2015 Oct 9;117(9):817-24 - PubMed
  37. Intensive Care Med. 2003 Aug;29(8):1380-3 - PubMed
  38. Sci Rep. 2015 Oct 14;5:15220 - PubMed
  39. Diabetes Care. 2010 Sep;33(9):1925-32 - PubMed
  40. PLoS One. 2013 Oct 04;8(10):e77274 - PubMed
  41. Nat Med. 2013 May;19(5):576-85 - PubMed
  42. Appl Environ Microbiol. 2009 Dec;75(23):7537-41 - PubMed
  43. Physiol Rev. 2011 Apr;91(2):389-411 - PubMed
  44. Diabetes. 2007 Jul;56(7):1761-72 - PubMed
  45. Am J Clin Nutr. 2015 Jun;101(6):1216-24 - PubMed
  46. Am J Clin Nutr. 2005 Jul;82(1):41-8 - PubMed
  47. FASEB J. 2009 Jun;23(6):1946-57 - PubMed
  48. Nature. 2013 Jun 6;498(7452):99-103 - PubMed
  49. Cytokine. 2010 Jan;49(1):64-72 - PubMed

Publication Types