Cited by 321Gut microbiota and healthNutritional Studies and DietMicrobial Metabolites in Food Biotechnology

Decreased dietary fiber intake and structural alteration of gut microbiota in patients with advanced colorectal adenoma

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Chen, Hui-Min, Yu, Ya-Nan, Wang, Ji-Lin, Lin, Yan-Wei, Kong, Xuan, Yang, Chang-Qing, Yang, Li, Liu, Zhan-Ju +7 more·2013·The American Journal of Clinical Nutrition

Abstract

Background Accumulating evidence indicates that diet is one of the most important environmental factors involved in the progression from advanced colorectal adenoma (A-CRA) to colorectal cancer.Objective We evaluated the possible effects of dietary fiber on the fecal microbiota of patients with A-CRA.Design Patients with a diagnosis of A-CRA by pathological examination were enrolled in the A-CRA group. Patients with no obvious abnormalities or histopathological changes were enrolled in the healthy control (HC) group. Dietary fiber intake was assessed in all patients. Short-chain fatty acids (SCFAs) in feces were detected by gas chromatography. The fecal microbiota community was analyzed by 454 pyrosequencing based on 16S ribosomal RNA.Results Lower dietary fiber patterns and consistently lower SCFA production were observed in the A-CRA group (n = 344). Principal component analysis showed distinct differences in the fecal microbiota communities of the 2 groups. Clostridium, Roseburia, and Eubacterium spp. were significantly less prevalent in the A-CRA group (n = 47) than in the HC group (n = 47), whereas Enterococcus and Streptococcus spp. were more prevalent in the A-CRA group (n = 47) (all P < 0.05). Butyrate and butyrate-producing bacteria were more prevalent in a subgroup of HC subjects with a high fiber intake than in those in both the low-fiber HC subgroup and the high-fiber A-CRA subgroup (all P < 0.05).Conclusion A high-fiber dietary pattern and subsequent consistent production of SCFAs and healthy gut microbiota are associated with a reduced risk of A-CRA. This trial was registered at www.chictr.org as ChiCTR-TRC-00000123.

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Crossref · 10.3945/ajcn.112.046607

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  • Some but not all cross-sectional studies associated higher fiber intake with increased fecal short-chain fatty acid levels and enrichment of short-chain fatty acid-producing bacteria such as Eubacterium rectale, Roseburia spp., and Faecalibacterium prausnitzii.

    “Some but not all cross-sectional studies associated higher fiber intake with increased fecal levels of SCFAs and enrichment of SCFA-producing bacteria, such as Eubacterium rectale, Roseburia spp., and Faecalibacterium prausnitzii.126, 127”

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Authors
Chen, H.-M., Yu, Y.-N., Wang, J.-L., Lin, Y.-W., Kong, X., Yang, C.-Q., Yang, L., Liu, Z.-J., Yuan, Y.-Z., Liu, F., Wu, J.-X., Zhong, L., Fang, D.-C., Zou, W., & Fang, J.-Y.
Affiliations
  • Shanghai Jiao Tong University (CN)
  • Tongji University (CN)
  • Fudan University (CN)
  • Army Medical University (CN)
Venue
The American Journal of Clinical Nutrition
Publisher
Elsevier BV
Published
2013-05
Volume
97
Issue
5
Pages
1044-1052
ISSN
0002-9165 (ISSN-L)
OpenAlex
W2166066205
Cited by
321
References
44
Citations by year
2026: 14 · 2025: 17 · 2024: 25 · 2023: 38 · 2022: 38 · 2021: 20 · 2020: 33 · 2019: 21 · 2018: 30 · 2017: 27 · 2016: 20 · 2015: 18 · 2014: 14 · 2013: 5
FWCI
8.50
Type
journal article
Language
en
Open access
Locations
  • American Journal of Clinical Nutrition (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gut microbiota and health
  • Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Nutritional Studies and Diet
  • Health Sciences › Nursing › Nutrition and Dietetics › Microbial Metabolites in Food Biotechnology
Keywords
advanced adenoma, dietary fiber intake, gut microbiota, short-chain fatty acids, butyrate, butyrate-producing bacteria, colorectal cancer risk, fecal microbiota composition, Clostridium, Roseburia, Enterococcus, Streptococcus
MeSH terms
Aged, Butyrates, China, Chromatography, Gas, Cross-Sectional Studies, Diet, Dietary Fiber, DNA, Bacterial, Fatty Acids, Volatile, Feces, Female, Gram-Positive Bacteria, Humans, Life Style, Male, Middle Aged, Surveys and Questionnaires, RNA, Ribosomal, 16S, Colorectal Neoplasms, Multivariate Analysis, Logistic Models, Case-Control Studies, Sequence Analysis, DNA, Gastrointestinal Tract, Metagenome

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