Evidence map›Paper›PMID 40783398›Full record

ArticleNPJ biofilms and microbiomes2025

High-fat and low-fiber diet elevates the gut resistome: a comparative metagenomic study.

Yingbo Shen, Da Sun, Kun Chen, Junyao Jiang, Dongyan Shao, Lu Yang, Chengtao Sun, Dejun Liu, Yuebin Ke, Congming Wu and 4 more

Abstract readComparative Study
In one paragraph

Article in NPJ biofilms and microbiomes, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Review
  5. Dietary Supplementation withAnimals : an open access journal from MDPI · 2026
    Article
  6. Article
  7. Review
  8. Review
  9. Article
  10. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors.

Yingbo Shen *State Key Laboratory of Veterinary Public Health and Safety, College of Veterinary Medicine, China Agricultural University, Beijing, 100193, China.
Da Sun *State Key Laboratory of Veterinary Public Health and Safety, College of Veterinary Medicine, China Agricultural University, Beijing, 100193, China.
Kun ChenDivision of Conservation and Application of Biological Resources, Shenzhen Center for Disease Control and Prevention, Shenzhen, 518055, China.
Junyao JiangState Key Laboratory of Veterinary Public Health and Safety, College of Veterinary Medicine, China Agricultural University, Beijing, 100193, China.
Dongyan ShaoState Key Laboratory of Veterinary Public Health and Safety, College of Veterinary Medicine, China Agricultural University, Beijing, 100193, China.
Lu YangState Key Laboratory of Veterinary Public Health and Safety, College of Veterinary Medicine, China Agricultural University, Beijing, 100193, China.
Chengtao SunState Key Laboratory of Veterinary Public Health and Safety, College of Veterinary Medicine, China Agricultural University, Beijing, 100193, China.
Dejun LiuState Key Laboratory of Veterinary Public Health and Safety, College of Veterinary Medicine, China Agricultural University, Beijing, 100193, China.
Yuebin KeDivision of Conservation and Application of Biological Resources, Shenzhen Center for Disease Control and Prevention, Shenzhen, 518055, China.
Congming WuState Key Laboratory of Veterinary Public Health and Safety, College of Veterinary Medicine, China Agricultural University, Beijing, 100193, China.
Timothy R WalshDepartment of Biology, University of Oxford, Oxford, OX1 3SZ, UK.
Jianzhong ShenState Key Laboratory of Veterinary Public Health and Safety, College of Veterinary Medicine, China Agricultural University, Beijing, 100193, China.
Ziquan LvDivision of Conservation and Application of Biological Resources, Shenzhen Center for Disease Control and Prevention, Shenzhen, 518055, China. lvziquan1984@126.com.
Yang WangState Key Laboratory of Veterinary Public Health and Safety, College of Veterinary Medicine, China Agricultural University, Beijing, 100193, China. wangyang@cau.edu.cn.

Funding

National Key Research and Development Program of China 2022YFD1800400National Natural Science Foundation of China 32141002National Natural Science Foundation of China 81991535
6 · The paper itself

Abstract

Antimicrobial resistance (AMR) is a global health challenge. The gut microbiome, a major reservoir for AMR, is influenced by dietary habits. However, the specific impact of dietary patterns on gut resistome remains poorly understood. This study aimed to assess the effects of high-fat/low-fiber and high-fiber/low-fat diets on the development of AMR in the gut microbiome. The shift from a normal diet to a high-fat/low-fiber or a high-fiber/low-fat diet in mice resulted in corresponding increases and decreases in the relative abundance of the resistome (0.14 to 0.25, p < 0.001 vs. 0.14 to 0.09 p < 0.05), virulence genes (VGs) (0.56 to 0.91, p < 0.001 vs. 0.58 to 0.50, p < 0.05), and mobile genetic elements (MGEs) (0.20 to 1.66, p < 0.001 vs. 0.22 to 0.13, p < 0.05), respectively. Network analyses identified bacteria such as Bacteroides, Parabacteroides, and Alistipes as hosts of ARGs and VGs, with changes in their abundance closely associated with shifts in ARG and VG levels. Mobile genetic elements such as Tn916, ISBf10, IS91, and intl1 were linked to these variations, including genes conferring resistance to vancomycin and capsule-related VGs. In humans, a similar trend was observed, with high-fat diets correlating with higher resistome levels, while high-fiber diets were associated with lower resistome levels compared to a normal diet group. ARGs were more prevalent in pathogenic genera such as Enterococcus spp., Klebsiella spp., Pseudomonas spp., and Staphylococcus spp. The high-fat/low-fiber diet increased the bacterial resistome and VG abundance compared to a high-fiber/low-fat diet. Therefore, adopting a high-fiber/low-fat diet may be an effective strategy to reduce the AMR burden in the human gut, providing a valuable insight for public health recommendations.

Indexed as

BacteriaDietary FiberDiet, High-FatGastrointestinal MicrobiomeAnimalsAnti-Bacterial AgentsFecesFemaleHumansInterspersed Repetitive SequencesMaleMetagenomicsMiceAnti-Bacterial AgentsDietary Fiber

Identifiers

PMID40783398
PMCPMC12335491

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.