Evidence map›Paper›PMID 40838009›Full record

ArticleFrontiers in microbiology2025

Therapeutic effect of fecal microbiota transplantation on hyperuricemia mice by improving gut microbiota.

Songjian Yuan, Wenting Jia, Xiaomei Liu, Ruzhen Liu, Man Cao, Yuting Wu, Yuantao Li, Wei Xu, Chuanxing Xiao, Zhenqiang Hong and 1 more

Abstract read
In one paragraph

Article in Frontiers in microbiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Review
  5. Nutrients · 2025
    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

11 authors.

Songjian YuanFujian University of Traditional Chinese Medicine, Fuzhou, China.
Wenting JiaFujian University of Traditional Chinese Medicine, Fuzhou, China.
Xiaomei LiuFujian University of Traditional Chinese Medicine, Fuzhou, China.
Ruzhen LiuXiamen Treatgut Biotechnology Co. Ltd., Xiamen, China.
Man CaoXiamen Treatgut Biotechnology Co. Ltd., Xiamen, China.
Yuting WuXiamen Treatgut Biotechnology Co. Ltd., Xiamen, China.
Yuantao LiXiamen Treatgut Biotechnology Co. Ltd., Xiamen, China.
Wei XuXiamen Treatgut Biotechnology Co. Ltd., Xiamen, China.
Chuanxing XiaoFujian University of Traditional Chinese Medicine, Fuzhou, China.
Zhenqiang HongFujian University of Traditional Chinese Medicine, Fuzhou, China.
Bangzhou ZhangFujian University of Traditional Chinese Medicine, Fuzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: The primary objective of this study was to assess the impact of fecal microbiota transplantation (FMT) on serum biochemical parameters, renal injury, and gut microbiota in hyperuricemia (HUA) mice. Methods: Six-week-old male C57BL/6 J mice were given a high-purine diet and potassium oxonate injections to induce HUA, followed by a two-week FMT treatment. Regular body weight checks, serum biochemical analyses, and fecal sampling for 16S rRNA gene sequencing were conducted to evaluate the treatment's impact on gut microbiota. Results: The model group showed significant increases in uric acid (UA), creatinine (Cr), blood urea nitrogen (BUN) levels, and increased xanthine oxidase (XOD) activity compared to controls ( Conclusion: This study demonstrates that FMT holds therapeutic potential for HUA mice by reducing UA levels, alleviating renal damage, and restoring gut microbiota balance.

Indexed as

fecal microbiota transplantationgut microbiotahyperuricemiamicrobiomerenal injury

Identifiers

PMID40838009
PMCPMC12361192

What Socratic holds

Textmetadata
LicenceCC BY
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.