Cited by 598Gut microbiota and healthNutritional Studies and DietDiet, Metabolism, and Disease

Effects of dietary fat on gut microbiota and faecal metabolites, and their relationship with cardiometabolic risk factors: a 6-month randomised controlled-feeding trial

Open access
Wan, Yi, Wang, Fenglei, Yuan, Jihong, Li, Jie, Jiang, Dandan, Zhang, Jingjing, Li, Hao, Wang, Ruoyi +6 more·2019·Gut

Abstract

Objective To investigate whether diets differing in fat content alter the gut microbiota and faecal metabolomic profiles, and to determine their relationship with cardiometabolic risk factors in healthy adults whose diet is in a transition from a traditional low-fat diet to a diet high in fat and reduced in carbohydrate. Methods In a 6-month randomised controlled-feeding trial, 217 healthy young adults (aged 18–35 years; body mass index <28 kg/m 2 ; 52% women) who completed the whole trial were included. All the foods were provided during the intervention period. The three isocaloric diets were: a lower-fat diet (fat 20% energy), a moderate-fat diet (fat 30% energy) and a higher-fat diet (fat 40% energy). The effects of the dietary interventions on the gut microbiota, faecal metabolomics and plasma inflammatory factors were investigated. Results The lower-fat diet was associated with increased α-diversity assessed by the Shannon index (p=0.03), increased abundance of Blautia (p=0.007) and Faecalibacterium (p=0.04), whereas the higher-fat diet was associated with increased Alistipes (p=0.04), Bacteroides (p<0.001) and decreased Faecalibacterium (p=0.04). The concentration of total short-chain fatty acids was significantly decreased in the higher-fat diet group in comparison with the other groups (p<0.001). The cometabolites p-cresol and indole, known to be associated with host metabolic disorders, were decreased in the lower-fat diet group. In addition, the higher-fat diet was associated with faecal enrichment in arachidonic acid and the lipopolysaccharide biosynthesis pathway as well as elevated plasma proinflammatory factors after the intervention. Conclusion Higher-fat consumption by healthy young adults whose diet is in a state of nutrition transition appeared to be associated with unfavourable changes in gut microbiota, faecal metabolomic profiles and plasma proinflammatory factors, which might confer adverse consequences for long-term health outcomes. Trial registration number NCT02355795 ; Results.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1136/gutjnl-2018-317609

Cites

54 of 54 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • A recent controlled feeding study in Chinese adults showed that adopting a higher-fat, lower-carbohydrate diet led to unfavorable changes in gut microbiota, fecal metabolomic profiles, and plasma proinflammatory factors.

    “While a recent controlled feeding study in Chinese adults showed that adopting a higherfat, lower-carbohydrate diet led to unfavorable changes in gut microbiota, fecal metabolomic profiles, and plasma proinflammatory factors (130)”

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Wan, Y., Wang, F., Yuan, J., Li, J., Jiang, D., Zhang, J., Li, H., Wang, R., Tang, J., Huang, T., Zheng, J., Sinclair, A. J., Mann, J., & Li, D.
Affiliations
  • Zhejiang University (CN)
  • Harvard University (US)
  • Chinese PLA General Hospital (CN)
  • Peking University (CN)
  • Institute of Basic Medical Science, Westlake University, Hangzhou, China
  • Monash University (AU)
  • University of Otago (NZ)
  • Qingdao University (CN)
Corresponding author
Li, Duo
Venue
Gut
Publisher
BMJ
Published
2019-02-19
Volume
68
Issue
8
Pages
1417-1429
ISSN
  • 0017-5749 (ISSN-L)
  • 1468-3288
OpenAlex
W2915433988
Cited by
598
References
54
Citations by year
2026: 41 · 2025: 64 · 2024: 83 · 2023: 85 · 2022: 128 · 2021: 91 · 2020: 73 · 2019: 32
FWCI
26.81
Type
journal article
Language
en
Open access
Locations
  • Gut (publishedVersion)
  • PubMed (publishedVersion)
  • Monash University Research Portal (Monash University) (acceptedVersion, other-oa)
  • Figshare (submittedVersion, cc-by)
  • HighWire Press Open Archive (submittedVersion)
Funders
  • National Basic Research Program of China
  • China Postdoctoral Science Foundation
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 › Medicine › Endocrinology, Diabetes and Metabolism › Diet, Metabolism, and Disease
Keywords
dietary fat, gut microbiota, fecal metabolomics, cardiometabolic risk factors, nutrition transition, low-fat diet, high-fat diet, short-chain fatty acids, Faecalibacterium, Blautia, Alistipes, Bacteroides, p-cresol, indole, arachidonic acid, lipopolysaccharide biosynthesis, pro-inflammatory factors, plasma inflammatory markers, healthy young adults
MeSH terms
Gastrointestinal Microbiome, Faecalibacterium, Adult, Bacteroides, Cardiovascular Diseases, China, Dietary Fats, Feces, Female, Humans, Inflammation, Male, Nutritional Status, Outcome Assessment, Health Care, Metabolomics, Diet, High-Fat, Healthy Volunteers

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review