Literature DB >> 30876827

Unconjugated and secondary bile acid profiles in response to higher-fat, lower-carbohydrate diet and associated with related gut microbiota: A 6-month randomized controlled-feeding trial.

Yi Wan1, Jihong Yuan2, Jie Li2, Hao Li1, Jingjing Zhang3, Jun Tang1, Yan Ni4, Tao Huang5, Fenglei Wang6, Feng Zhao7, Duo Li8.   

Abstract

BACKGROUND & AIMS: Observational studies have shown that diets high in fat and low in dietary fiber, might have an unfavorable impact on bile acid (BA) profiles, which might further affect host cardiometabolic health. In the current study, we aimed to evaluate the effects of dietary fat content on BA profiles and associated gut microbiota, and their correlates with cardiometabolic risk factors.
METHODS: In a randomized controlled-feeding trial, healthy young adults were assigned to one of the three diets: a lower-fat diet (fat 20%, carbohydrate 66% and protein 14%), a moderate-fat diet (fat 30%, carbohydrate 56% and protein 14%) and a higher-fat diet (fat 40%, carbohydrate 46% and protein 14%) for 6 months. All the foods were provided during the entire intervention period. The BA profiles, associated gut microbiota and markers of cardiometabolic risk factors were determined before and after intervention.
RESULTS: The higher-fat diet resulted in an elevated concentration of total BAs (p < 0.001), and unconjugated BAs (p = 0.03) compared with lower-fat diet. Secondary BAs, such as deoxycholic acid (DCA), taurodeoxycholic acid (TDCA), 12ketolithocholic acid (12keto-LCA), 3β-DCA and taurolithocholic acid (TLCA) (p < 0.05 after FDR correction) were significantly increased in the higher-fat diet group after the 6-month intervention. Consistently, the abundances of gut bacteria (Bacteroides, Clostridium, Bifidobacterium and Lactobacillus) which affect bile salt hydrolase gene expression were significantly increased after higher-fat consumption. The change of DCA was positively associated with the relative abundance of Bacteroides (r = 0.31, p = 0.08 after FDR correction). In addition, the changes of fecal concentrations of DCA and 12keto-LCA were positively associated with serum total cholesterol (r > 0.3, p = 0.02 and p = 0.008 after FDR correction, respectively). In line with these findings, serum fibroblast growth factor 19 (FGF19) was marginally significantly elevated in the higher-fat group after intervention (p = 0.05).
CONCLUSIONS: The higher-fat diet resulted in an alteration of BAs, especially unconjugated BAs and secondary BAs, most likely through actions of gut microbiota. These alterations might confer potentially unfavorable impacts on colonic and host cardiometabolic health in healthy young adults. Clinical trial registry number: NCT02355795 listed on NIH website: ClinicalTrials.gov.
Copyright © 2019 Elsevier Ltd and European Society for Clinical Nutrition and Metabolism. All rights reserved.

Entities:  

Keywords:  Bile acids; Cardiometabolic risk factors; Dietary fat; Gut microbiota; Randomized controlled-feeding trial

Year:  2019        PMID: 30876827     DOI: 10.1016/j.clnu.2019.02.037

Source DB:  PubMed          Journal:  Clin Nutr        ISSN: 0261-5614            Impact factor:   7.324


  12 in total

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Journal:  J Zhejiang Univ Sci B       Date:  2022-01-15       Impact factor: 3.066

2.  Weight loss and high-protein, high-fiber diet consumption impact blood metabolite profiles, body composition, voluntary physical activity, fecal microbiota, and fecal metabolites of adult dogs.

Authors:  Thunyaporn Phungviwatnikul; Anne H Lee; Sara E Belchik; Jan S Suchodolski; Kelly S Swanson
Journal:  J Anim Sci       Date:  2022-02-01       Impact factor: 3.159

Review 3.  Bile acids and the gut microbiota: metabolic interactions and impacts on disease.

Authors:  Stephanie L Collins; Jonathan G Stine; Jordan E Bisanz; C Denise Okafor; Andrew D Patterson
Journal:  Nat Rev Microbiol       Date:  2022-10-17       Impact factor: 78.297

4.  Diet-Related Alterations of Gut Bile Salt Hydrolases Determined Using a Metagenomic Analysis of the Human Microbiome.

Authors:  Baolei Jia; Dongbin Park; Byung Hee Chun; Yoonsoo Hahn; Che Ok Jeon
Journal:  Int J Mol Sci       Date:  2021-04-01       Impact factor: 5.923

5.  A Predictive Model Based on the Gut Microbiota Improves the Diagnostic Effect in Patients With Cholangiocarcinoma.

Authors:  Tan Zhang; Sina Zhang; Chen Jin; Zixia Lin; Tuo Deng; Xiaozai Xie; Liming Deng; Xueyan Li; Jun Ma; Xiwei Ding; Yaming Liu; Yunfeng Shan; Zhengping Yu; Yi Wang; Gang Chen; Jialiang Li
Journal:  Front Cell Infect Microbiol       Date:  2021-11-23       Impact factor: 5.293

6.  Hyperoside attenuates non-alcoholic fatty liver disease in rats via cholesterol metabolism and bile acid metabolism.

Authors:  Songsong Wang; Feiya Sheng; Liang Zou; Jianbo Xiao; Peng Li
Journal:  J Adv Res       Date:  2021-06-08       Impact factor: 10.479

7.  Pegbelfermin selectively reduces secondary bile acid concentrations in patients with non-alcoholic steatohepatitis.

Authors:  Yi Luo; Benjamin E Decato; Edgar D Charles; Diane E Shevell; Colleen McNaney; Petia Shipkova; Abraham Apfel; Giridhar S Tirucherai; Arun J Sanyal
Journal:  JHEP Rep       Date:  2021-11-12

Review 8.  The Microbiota and the Gut-Brain Axis in Controlling Food Intake and Energy Homeostasis.

Authors:  Marina Romaní-Pérez; Clara Bullich-Vilarrubias; Inmaculada López-Almela; Rebeca Liébana-García; Marta Olivares; Yolanda Sanz
Journal:  Int J Mol Sci       Date:  2021-05-29       Impact factor: 5.923

9.  12α-Hydroxylated bile acid enhances accumulation of adiponectin and immunoglobulin A in the rat ileum.

Authors:  Reika Yoshitsugu; Hongxia Liu; Yoshie Kamo; Akari Takeuchi; Ga-Hyun Joe; Koji Tada; Keidai Kikuchi; Nobuyuki Fujii; Shinri Kitta; Shota Hori; Manami Takatsuki; Hitoshi Iwaya; Yasutake Tanaka; Hidehisa Shimizu; Satoshi Ishizuka
Journal:  Sci Rep       Date:  2021-06-21       Impact factor: 4.379

Review 10.  Inflammation in Primary and Metastatic Liver Tumorigenesis-Under the Influence of Alcohol and High-Fat Diets.

Authors:  Lauren S Strathearn; Afanasii I Stepanov; Joan Font-Burgada
Journal:  Nutrients       Date:  2020-03-27       Impact factor: 5.717

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