High Leafy and Root Vegetables and High Rice Dietary Patterns Were Associated with Primary and Secondary Bile Acid Levels in the Feces

Overview

Journal Sci Rep

Date 2025 Jan 15

PMID 39814946

Authors

Yosuke Saito

Toyoaki Sagae

Affiliations

Soon will be listed here.

Abstract

Colorectal cancer has the second highest mortality among cancer sites worldwide, with increasing morbidity, high recurrence rates, and even poorer postoperative quality of life. Therefore, preventive strategies for colorectal cancer should be established. This study aimed to cross-sectionally explore dietary patterns affecting the intestinal metabolism of bile acids (BAs), a risk factor for colorectal cancer, in young Japanese women. We collected fecal samples for intestinal microbiota and BA analysis. We used the Bristol scale to determine 1-week defecation status. Moreover, the brief-type self-administered diet history questionnaire was used for habitual dietary intake status. Reduced-rank regression analysis revealed dietary patterns related to fecal BA levels. The relationship between dietary patterns and fecal BA levels was adjusted for defecation status and intestinal microbiota variables using analysis of covariance. Reduced-rank regression analysis generated two dietary pattern scores related to fecal BA levels. First, the score was associated with a greater intake of leafy and root vegetables, and higher values were associated with greater fecal cholic and chenodeoxycholic acid levels and lower deoxycholic and lithocholic acid levels. Second, the score was associated with greater rice intake and lower Western sweets, pork, beef, and egg intake, and higher values were associated with lower deoxycholic and lithocholic acid levels. These relationships remained after adjusting for intestinal microbiota and defecation status variables.

References

Morgan E, Arnold M, Gini A, Lorenzoni V, Cabasag C, Laversanne M . Global burden of colorectal cancer in 2020 and 2040: incidence and mortality estimates from GLOBOCAN. Gut. 2023; 72(2):338-344. DOI: 10.1136/gutjnl-2022-327736. View

Hylla S, Gostner A, Dusel G, Anger H, Bartram H, Christl S . Effects of resistant starch on the colon in healthy volunteers: possible implications for cancer prevention. Am J Clin Nutr. 1998; 67(1):136-42. DOI: 10.1093/ajcn/67.1.136. View

Christl S, Bartram H, Paul A, Kelber E, Scheppach W, Kasper H . Bile acid metabolism by colonic bacteria in continuous culture: effects of starch and pH. Ann Nutr Metab. 1997; 41(1):45-51. DOI: 10.1159/000177977. View

Drzikova B, Dongowski G, Gebhardt E . Dietary fibre-rich oat-based products affect serum lipids, microbiota, formation of short-chain fatty acids and steroids in rats. Br J Nutr. 2005; 94(6):1012-25. DOI: 10.1079/bjn20051577. View

Collins M, Lawson P, Willems A, Cordoba J, Garcia P, Cai J . The phylogeny of the genus Clostridium: proposal of five new genera and eleven new species combinations. Int J Syst Bacteriol. 1994; 44(4):812-26. DOI: 10.1099/00207713-44-4-812. View

David L, Maurice C, Carmody R, Gootenberg D, Button J, Wolfe B . Diet rapidly and reproducibly alters the human gut microbiome. Nature. 2013; 505(7484):559-63. PMC: 3957428. DOI: 10.1038/nature12820. View

Thomas L, Veysey M, Bathgate T, King A, French G, Smeeton N . Mechanism for the transit-induced increase in colonic deoxycholic acid formation in cholesterol cholelithiasis. Gastroenterology. 2000; 119(3):806-15. DOI: 10.1053/gast.2000.16495. View

Gestel G, Besancon P, Rouanet J . Comparative evaluation of the effects of two different forms of dietary fibre (rice bran vs. wheat bran) on rat colonic mucosa and faecal microflora. Ann Nutr Metab. 1994; 38(5):249-56. DOI: 10.1159/000177818. View

Nagashima K, Hisada T, Sato M, Mochizuki J . Application of new primer-enzyme combinations to terminal restriction fragment length polymorphism profiling of bacterial populations in human feces. Appl Environ Microbiol. 2003; 69(2):1251-62. PMC: 143637. DOI: 10.1128/AEM.69.2.1251-1262.2003. View

10.

Naumann S, Schweiggert-Weisz U, Eglmeier J, Haller D, Eisner P . In Vitro Interactions of Dietary Fibre Enriched Food Ingredients with Primary and Secondary Bile Acids. Nutrients. 2019; 11(6). PMC: 6628118. DOI: 10.3390/nu11061424. View

11.

Murakami K, Sasaki S, Okubo H . Characteristics of under- and over-reporters of energy intake among young Japanese women. J Nutr Sci Vitaminol (Tokyo). 2012; 58(4):253-62. View

12.

Perino A, Schoonjans K . Metabolic Messengers: bile acids. Nat Metab. 2022; 4(4):416-423. DOI: 10.1038/s42255-022-00559-z. View

13.

Vermeulen E, Stronks K, Visser M, Brouwer I, Snijder M, Mocking R . Dietary pattern derived by reduced rank regression and depressive symptoms in a multi-ethnic population: the HELIUS study. Eur J Clin Nutr. 2017; 71(8):987-994. DOI: 10.1038/ejcn.2017.61. View

14.

Reudink M, Molenaar C, Bonhof C, Janssen L, Mols F, Slooter G . Evaluating the longitudinal effect of colorectal surgery on health-related quality of life in patients with colorectal cancer. J Surg Oncol. 2021; 125(2):217-226. PMC: 9292688. DOI: 10.1002/jso.26685. View

15.

Kobayashi S, Honda S, Murakami K, Sasaki S, Okubo H, Hirota N . Both comprehensive and brief self-administered diet history questionnaires satisfactorily rank nutrient intakes in Japanese adults. J Epidemiol. 2012; 22(2):151-9. PMC: 3798594. DOI: 10.2188/jea.je20110075. View

16.

McCrea G, Miaskowski C, Stotts N, Macera L, Varma M . A review of the literature on gender and age differences in the prevalence and characteristics of constipation in North America. J Pain Symptom Manage. 2008; 37(4):737-45. DOI: 10.1016/j.jpainsymman.2008.04.016. View

17.

Hoffmann K, Schulze M, Schienkiewitz A, Nothlings U, Boeing H . Application of a new statistical method to derive dietary patterns in nutritional epidemiology. Am J Epidemiol. 2004; 159(10):935-44. DOI: 10.1093/aje/kwh134. View

18.

Kahlon T, Chiu M, Chapman M . Steam cooking significantly improves in vitro bile acid binding of collard greens, kale, mustard greens, broccoli, green bell pepper, and cabbage. Nutr Res. 2008; 28(6):351-7. DOI: 10.1016/j.nutres.2008.03.007. View

19.

Sun L, Zhang Y, Cai J, Rimal B, Rocha E, Coleman J . Bile salt hydrolase in non-enterotoxigenic Bacteroides potentiates colorectal cancer. Nat Commun. 2023; 14(1):755. PMC: 9918522. DOI: 10.1038/s41467-023-36089-9. View

20.

Odamaki T, Kato K, Sugahara H, Hashikura N, Takahashi S, Xiao J . Age-related changes in gut microbiota composition from newborn to centenarian: a cross-sectional study. BMC Microbiol. 2016; 16:90. PMC: 4879732. DOI: 10.1186/s12866-016-0708-5. View