Association of dietary patterns with the fecal microbiota in Korean adolescents

BMC Nutrition

Volumn 3, Issue 1, 2017, Pages

  Jang, Han Byul ^a   Choi, Min Kyu ^b   Kang, Jae Heon ^c   Park, Sang Ick ^a   Lee, Hye Ja ^a  

^a Korea National Institute of Health   (South Korea)

^b Hallym University   (South Korea)

^c Inje University College of Medicine   (South Korea)

Author keywords

Dietary patterns; Gut microbiota; Metabolic syndrome

Indexed keywords

EID: 85073773147     PISSN: None     EISSN: 20550928     Source Type: Journal    
DOI: 10.1186/s40795-016-0125-z     Document Type: Article

References (49)

1. Poyrazoglu S, Bas F, Darendeliler F. Metabolic syndrome in young people. Curr Opin Endocrinol Diabetes Obes. 2015;21:56-63.
2. Backhed F, Ding H, Wang T, Hooper LV, Koh GY, Nagy A, et al. The gut microbiota as an environmental factor that regulates fat storage. Proc Natl Acad Sci U S A. 2004;10:15718-23.
3. Goodman AL, Gordon JI. Our unindicted coconspirators: human metabolism from a microbial perspective. Cell Metab. 2010;12:111-6.
4. Hu HJ, Park SG, Jang HB, Choi MG, Park KH, Kang JH, et al. Obesity alters the microbial community profile in Korean adolescents. PLoS One. 2015;10:e0134333.
5. Diamant M, Blaak EE, de Vos WM. Do nutrient-gut-microbiota interactions play a role in human obesity, insulin resistance and type 2 diabetes? Obes Rev. 2011;12:272-81.
6. Yatsunenko T, Rey FE, Manary MJ, Trehan I, Dominquez-Bello MG, Contreras M, et al. Human gut microbiome viewed across age and geography. Nature. 2009;457:480-4.
7. De Filippo C, Cavalieri D, Di Paola M, Ramazzotti M, Poullet JB, Massart S, et al. Impact of diet in shaping gut microbiota revealed by a comparative study in children from Europe and rural africa. Proc Natl Acad Sci U S A. 2010;104:14691-6.
8. Wu GD, Chen J, Hoffmann C, Bittinger K, Chen YY, Keilbaugh SA, et al. Linking long-term dietary patterns with gut microbial enterotypes. Science. 2011;334:105-8.
9. Koleva PT, Bridgman SL, Kozyrskyj AL. The infant gut microbiome: evidence for obesity risk and dietary intervention. Nutrients. 2015;7:2237-60.
10. Zhang C, Zhang M, Wang S, Han R, Cao Y, Hua W, et al. Interactions between gut microbiota, host genetics and diet relevant to development of metabolic syndromes in mice. ISME J. 2010;4:232-41.
11. Liszt K, Zwielehner J, Handschur M, Hippe B, Thaler R, Haslberger AG. Characterization of bacteria, clostridia and bacteroides in faeces of begetarinas using qPCR and OCR-DGGE fingerprinting. Ann Nutr Metab. 2009;54:253-7.
12. Zimmer J, Lange B, Frick JS, Sauer H, Zimmermann K, Schwiertz A, et al. A vegan or vegetarian diet substantially alters the human colonic faecal microbiota. Eur J Clin Nutr. 2012;505:559-63.
13. Carvalho-Wells AL, Helmolz K, Nodet C, Molzer C, Leonard C, McKevith B, et al. Determination of the in vivo previotic potential of a maize-based whole grain breakfast cereal: a human feeding study. Br J Nutr. 2010;104:1353-6.
14. Costabile A, Klinder A, Fava F, Napolitano A, Fogliano V, Leonard C, et al. Whole-grain wheat breakfast cereal has a previotic effect on the human gut microbiota: a double-blind, placebo-controlled, crossover study. Br J Nutr. 2008;99:110-20.
15. Vendrame S, Guglielmetti S, Riso P, Arioli S, Klimis-Zacas D, Porrini M. Six-week consumption of a wild blueberry powder drink increases bifidobacteria in the human gut. J Agric Food Chem. 2011;59:12815-20.
16. Fernando WM, Hill JE, Zello GA, Tyler RT, Dahl WJ, Van Kessel AG. Diets supplemented with chickpea or its main oligosaccharide component raffinose modify faecal microbial composition in healthy adults. Benef Microbes. 2010;1:197-207.
17. Han K, Bose S, Wang JH, Kim BS, Kim MJ, Kim EJ, et al. Contrasting effects of fresh and fermented kimchi consumption on gut microbiota compostion and gene expression related to metabolic syndrome in oveses korean women. Mol Nutr Food Res. 2015;59:1004-8.
18. Walker AW, Ince J, Duncan SH, Webster LM, Holtrop G, Ze X, et al. Dominant and diet-responsive groups of bacteria within the human colonic microbiota. ISME J. 2010;5:220-30.
19. Martinez I, Kim J, Duffy PR, Schlegel VL, Walter J. Resistant starches types two and four habe differential effects on the composition of the fecal microbiota in human subjects. PLoS One. 2010;5:e15046.
20. Russell WR, Gratz SW, Duncan SH, Holtrop G, Ince J, Scobbie L, et al. High-protein, reduced-carbohydrate weight-loss diets promote metabolite profiles likely to be detrimental to colonic health. Am J Clin Nutr. 2011;93:1062-72.
21. Lee A, Jang HB, Ra M, Choi Y, Lee HJ, Park JY, et al. Prediction of future risk of insulin resistance and metabolic syndrome based on Korean boy's metabolite profiling. Obes Res Clin Pract. 2015;9:336-45.
22. Huber T, Faulkner G, Hugenholtz P. Bellerophon: a program to detect chimeric sequences in multiple sequence alignments. Bioinformatics. 2004;20:2317-9.
23. Zaura E, Keijser BJ, Huse SM, Crielaard W. Defining the health "core microbiome" of oral microbial communities. BMC Microbiol. 2009;9:259.
24. Chiu CM, Huang WC, Weng SL, Tseng HC, Liang C, Wang WC, et al. Systematic analysis of the association between gut flora and obesity through high-throughput sequencing and bioinformatics approaches. Biomed Res Int. 2014;2014:906168.
25. Gorsuch RI. Factor analysis. Philadelphia: Lawrence Erlbaum Associates; 1983.
26. The Korean Nutrition Society. Recommended Dietary Allowances for Koreans. 7th revision. Seoul: Korean Nutrition Society; 2000 (in Korean).
27. Hu FB, Rimm EB, Smith-Warner SA, Feskanich D, Stampfer MJ, Ascherio A, et al. Reproducibility and validity of dietary patterns assessed with a food-frequency questionnaire. Am J Clin Nutr. 1999;69:246-9.
28. Zimmet P, Alberti G, Kaufman F, Tajima N, Silink M, Arslaina S, et al. The metabolic syndrome in children and adolescents. Lancet. 2007;369:2059-61.
29. Hu FB. Dietary pattern analysis: a new direction in nutritional epidemiology. Curr Opin Lipidol. 2002;13:3-9.
30. Fava F, Gitau R, Griffin BA, Gibson GR, Tuohy KM, Lovegrove JA. The type and quantity of dietary fat and carbohydrate later faecal microbiome and short-chain fatty acid excretion in a metabolic syndrome "at-risk" population. Int J Obes (Lond). 2013;37:216-23.
31. Cani PD, Amar J, Iglesias MA, Poggi M, Knauf C, Bastelica D, et al. Metabolic endotoxemia initiates obesity and insulin resistance. Diabetes. 2007;56:1761-72.
32. Kim KA, Gu W, Lee IA, Joh EH, Kim DH. High fat diet-induced gut microbiota exacerbates inflammation and obesity in mice via the TLR4 signaling pathway. PLoS One. 2012;7:e47713.
33. Grzeskowiak K, Collado MC, Mangani C, Maleta K, Laitinen K, Ashorn P, et al. Distinct gut microbiota in southeastern African and northern european infants. J Pediatr Gastroenterol Nutr. 2012;54:812-6.
34. Graf D, Di Cagno R, Fak F, Flint HJ, Nyman M, Saarela M, et al. Contribution of diet to the composition of the human gut microbiota. Microb Ecol Health Dis. 2015;26:26164.
35. Nam Y, Jung M, Roh SW, Kim M, Bae J. Comparative analysis of Koran human gut microbiota by barcoded pyrosequencing. PLoS One. 2011;6:e22109.
36. EFSA Panel on Dietetic Products, Nutrition and Allergies (NDA). Scientific opinion on dietary reference values for carbohydrate and dietary fibre. EFSA J. 2010;8:1462.
37. Lee Y, Lee HJ, Lee HS, Jang YA, Kim C. Analytical dietary fiber database for the National Health and Nutrition Survey in Korea. J Food Compos Anal. 2008;21:S35-42.
38. Slattery ML, Edwards SL, Boucher KM, Anderson K, Caan BJ. Lifestyle and colon cancer: an assessement of factors associated with risk. Am J Epidemiol. 1999;150:869-77.
39. Esmaillzadeh A, Azadbakht L. Major dietary patterns in relation to general obesity and central adiposity among Iranian women. J Nutr. 2008;138:358-63.
40. Schulze MB, Fung TT, Manson JE, Willett WC, Hu FB. Dietary patterns and changes in body weight in women. Obesity (Silver Spring). 2006;14:1444-53.
41. Mozaffarian D, Hao T, Rimm EB, Willett WC, Hu FB. Changes in diet and lifestyle and long-term weight gain in women and men. N Engl J Med. 2011;364:2392-404.
42. Hu FB, Rimm EB, Stampfer MJ, Ascherio A, Spiegelman D, Willett WC. Prospective study of major dietary patterns and risk of cornoay heart diseas in men. Am J Clin Nutr. 2002;72:912-21.
43. Heidemann C, Schulze MB, Franco OH, van Dam RM, Mantzoros CS, Hu FB. Dietary patterns and risk of mortality from cardioascular diseas, cancer, and allcauses in a prospective cohort of women. Circulation. 2008;118:230-7.
44. Van Dam RM, Rimm EB, Willett WC, Stampfer MJ, Hu FB. Dietary patterns and risk for type 2 diabetes mellitus in U.S. men. Ann Intern Med. 2002;136:201-9.
45. Fung TT, Schulze M, Manson JE, Willett WC, Hu FB. Dietar patterns, meat intake, and the risk of type 2 dieabetes in women. Arch Intern Med. 2004;164:2235-40.
46. Wang Z, Klipfell E, Bennett BJ, Koeth R, Levison BS, Dugar B, et al. Gut flora metabolism of phosphatidylcholine promotes cardiovascular disease. Nature. 2011;472:57-63.
47. Koeth RA, Wang Z, Levison BS, Buffa JA, Org E, Sheehy BT, et al. Intestinal microbiota metabolism of L-carnitine, a nutrient in red meat, promotes atherosclerosis. Nat Med. 2013;19:576-85.
48. Claassen S, du Toit E, Kaba M, Moodley C, Zar HJ, Nicol MP. A comparison of the efficiency of five different commercial DNA extraction kits for extraction of DNA from faecal samples. J Microbiol Methods. 2013;94:103-10.
49. Ferrand J, Patron K, Legrand-Frossi C, Frippiat JP, Merlin C, Alauzet C, et al. Comparison of seven methods for extraction of bacterial DNA from fecal and cecal samples of mice. J Microbiol Methods. 2014;105:180-5.