Food intake and its effect on the species and abundance of intestinal flora in colorectal cancer and healthy individuals
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Background/Aim: It is known that an imbalance in the intestinal f lora plays a crucial role in colorectal cancer (CRC), but the effect of food consumption patterns on the types of intestinal flora remains to be clarified. We aimed to analyze the associations between food intake and intestinal flora in healthy and CRC individuals. Methods: Food intake data were recorded using the Food Frequency Questionnaire (FFQ). The composition and diversity of the intestinal flora detected by 16S rRNA gene sequencing, and the data were analyzed by R version 3.1.1 software. Results: Higher intake of red meat or pickled foods, and lower intake of white meat, fruits, vegetables, beans, nuts were found in the CRC group compared with the healthy group. Higher levels of Fusobacteria and Proteobacteria, and lower levels of Firmicutes were observed in the CRC group. Partial correlation analysis revealed that the intake of fruits, beans, and nuts was negatively correlated with Proteobacteria and Fusobacteria, but pickled food was positively correlated with Fusobacteria (p < 0.05). Fish, beans, and nuts intake was negatively correlated with Escherichia (p = 0.01). Multiple regression analysis revealed that vegetable oil (odds ratio [OR], 0.26; 95% confidence interval [CI], 0.13 to 0.82), vegetables (OR, 0.26; 95% CI, 0.10 to 0.64), eggs (OR, 0.26; 95% CI, 0.10 to 0.69), pickled foods (OR, 21.02; 95% CI, 6.02 to 73.45), and red meat (OR, 4.23; 95% CI, 1.68 to 10.60) had an impact on CRC risk. Conclusions: The species and abundance of intestinal flora varies between CRC and healthy individuals and may be affected by their food preference.
Abstract
Background/Aim: It is known that an imbalance in the intestinal f lora plays a crucial role in colorectal cancer (CRC), but the effect of food consumption patterns on the types of intestinal flora remains to be clarified. We aimed to analyze the associations between food intake and intestinal flora in healthy and CRC individuals. Methods: Food intake data were recorded using the Food Frequency Questionnaire (FFQ). The composition and diversity of the intestinal flora detected by 16S rRNA gene sequencing, and the data were analyzed by R version 3.1.1 software. Results: Higher intake of red meat or pickled foods, and lower intake of white meat, fruits, vegetables, beans, nuts were found in the CRC group compared with the healthy group. Higher levels of Fusobacteria and Proteobacteria, and lower levels of Firmicutes were observed in the CRC group. Partial correlation analysis revealed that the intake of fruits, beans, and nuts was negatively correlated with Proteobacteria and Fusobacteria, but pickled food was positively correlated with Fusobacteria (p < 0.05). Fish, beans, and nuts intake was negatively correlated with Escherichia (p = 0.01). Multiple regression analysis revealed that vegetable oil (odds ratio [OR], 0.26; 95% confidence interval [CI], 0.13 to 0.82), vegetables (OR, 0.26; 95% CI, 0.10 to 0.64), eggs (OR, 0.26; 95% CI, 0.10 to 0.69), pickled foods (OR, 21.02; 95% CI, 6.02 to 73.45), and red meat (OR, 4.23; 95% CI, 1.68 to 10.60) had an impact on CRC risk. Conclusions: The species and abundance of intestinal flora varies between CRC and healthy individuals and may be affected by their food preference.
참고문헌 (40)
- Jemal A, "Global cancer statistics", CA Cancer J Clin, 61, pp.69~90 (2011)
- Nistal E, "Factors determining colorectal cancer : the role of the intestinal microbiota", Front Oncol, 5, pp.220~ (2015)
- Marinelli L, "Probiotic species in the modulation of the anticancer immune response", Semin Cancer Biol, 46, pp.182~190 (2017)
- Hasegawa M, "A role of lipophilic peptidoglycan-related molecules in induction of Nod1-mediated immune responses", J Biol Chem, 282, pp.11757~11764 (2007)
- Xuemei Li, "Host Species as a Strong Determinant of the Intestinal Microbiota of Fish Larvae", The Journal of Microbiology, 50(1), pp.29~37 (2012), 한국미생물학회
- Sonnenburg ED, "Diet-induced extinctions in the gut microbiota compound over generations", Nature, 529, pp.212~215 (2016)
- Wu GD, "Linking long-term dietary patterns with gut microbial enterotypes", Science, 334, pp.105~108 (2011)
- Rothschild D, "Environment dominates over host genetics in shaping human gut microbiota", Nature, 555, pp.210~215 (2018)
- O’Keefe SJ, "Fat, fibre and cancer risk in African Americans and rural Africans", Nat Commun, 6, pp.6342~ (2015)
- Yang J, "The association of diet, gut microbiota and colorectal cancer : what we eat may imply what we get", Protein Cell, 9, pp.474~487 (2018)
- Gong L, "Whole cereal grains and potential health effects : Involvement of the gut microbiota", Food Res Int, 103, pp.84~102 (2018)
- Shen RL, "Effects of oat β-glucan and barley β-glucan on fecal characteristics, intestinal microflora, and intestinal bacterial metabolites in rats", J Agric Food Chem, 60, pp.11301~11308 (2012)
- Taira T, "Dietary polyphenols increase fecal mucin and immunoglobulin A and ameliorate the disturbance in gut microbiota caused by a high fat diet", J Clin Biochem Nutr, 57, pp.212~216 (2015)
- David LA, "Diet rapidly and reproducibly alters the human gut microbiome", Nature, 505, pp.559~563 (2014)
- Berding K, "Fecal microbiome composition and stability in 4-to 8-year old children is associated with dietary patterns and nutrient intake", J Nutr Biochem, 56, pp.165~174 (2018)
- Serra-Majem L, "Ibero-American consensus on low-and no-calorie sweeteners : safety, nutritional aspects and benefits in food and beverages", Nutrients, 10, pp.818~ (2018)
- Norat T, "Meat consumption and colorectal cancer : a review of epidemiologic evidence", Nutr Rev, 59, pp.37~47 (2001)
- Larsson SC, "Meat consumption and risk of colorectal cancer : a meta-analysis of prospective studies", Int J Cancer, 119, pp.2657~2664 (2006)
- Cani PD, "Metabolic endotoxemia initiates obesity and insulin resistance", Diabetes, 56, pp.1761~1772 (2007)
- Yang G, "Dietary factors and cancer of the colon and rectum in a population based case-control study in Shanghai", Zhonghua Liu Xing Bing Xue Za Zhi, 15, pp.299~303 (1994)
- Zhu Q, "The role of gut microbiota in the pathogenesis of colorectal cancer", Tumour Biol, 34, pp.1285~1300 (2013)
- Arthur JC, "Intestinal inflammation targets cancer-inducing activity of the microbiota", Science, 338, pp.120~123 (2012)
- Irrazábal T, "The multifaceted role of the intestinal microbiota in colon cancer", Mol Cell, 54, pp.309~320 (2014)
- Agus A, "Western diet induces a shift in microbiota composition enhancing susceptibility to adherent-invasive E. coli infection and intestinal inflammation", Sci Rep, 6, pp.19032~ (2016)
- Schloissnig S, "Genomic variation landscape of the human gut microbiome", Nature, 493, pp.45~50 (2013)
- Conlon MA, "The impact of diet and lifestyle on gut microbiota and human health", Nutrients, 7, pp.17~44 (2014)
- Ou J, "Diet, microbiota, and microbial metabolites in colon cancer risk in rural Africans and African Americans", Am J Clin Nutr, 98, pp.111~120 (2013)
- Costea PI, "Enterotypes in the landscape of gut microbial community composition", Nat Microbiol, 3, pp.8~16 (2018)
- Jain A, "Similarities and differences in gut microbiome composition correlate with dietary patterns of Indian and Chinese adults", AMB Express, 8, pp.104~ (2018)
- Kovatcheva-Datchary P, "Dietary fiber-induced improvement in glucose metabolism is associated with increased abundance of prevotella", Cell Metab, 22, pp.971~982 (2015)
- De Filippis F, "High-level adherence to a Mediterranean diet beneficially impacts the gut microbiota and associated metabolome", Gut, 65, pp.1812~1821 (2016)
- Connolly ML, "Hypocholesterolemic and prebiotic effects of a whole-grain oat-based granola breakfast cereal in a cardio-metabolic"at risk"population", Front Microbiol, 7, pp.1675~ (2016)
- O’Callaghan A, "Bifidobacteria and their role as members of the human gut microbiota", Front Microbiol, 7, pp.925~ (2016)
- 김창한, "Gut Microbiota-Derived Short-Chain Fatty Acids, T Cells, and Inflammation", Immune Network, 14(6), pp.277~288 (2014), 대한면역학회
- Lozupone CA, "Diversity, stability and resilience of the human gut microbiota", Nature, 489, pp.220~230 (2012)
- Faith JJ, "The longterm stability of the human gut microbiota", Science, 341, pp.1237439~ (2013)
- Arumugam M, "Enterotypes of the human gut microbiome", Nature, 473, pp.174~180 (2011)
- Makki K, "The impact of dietary fiber on gut microbiota in host health and disease", Cell Host Microbe, 23, pp.705~715 (2018)
- Kaul A, "Structural zeros in high-dimensional data with applications to microbiome studies", Biostatistics, 18, pp.422~433 (2017)
- Gill CI, "Diet and cancer : assessing the risk", Br J Nutr, 88(Suppl 1), pp.S73~S87 (2002)
