Evidence mapPaperPMID 40357302Full record

ArticleFrontiers in medicine2025

Perturbed gut microbiota and serum metabolites are associated with progressive renal fibrosis.

Run-Xi Wang, Hong-Bing Zhou, Jia-Xing Gao, Xing-Hua Li, Wan-Fu Bai, Jia Wang, Ying-Chun Bai, Li-Ya Fan, Hong Chang, Song-Li Shi

Abstract read
In one paragraph

Article in Frontiers in medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

10 authors.

Run-Xi Wang *Department of Pharmacy, Baotou Medical College, Inner Mongolia University of Science and Technology, Baotou, China.
Hong-Bing Zhou *Department of Pharmacy, Baotou Medical College, Inner Mongolia University of Science and Technology, Baotou, China.
Jia-Xing GaoDepartment of Pharmacy, Baotou Medical College, Inner Mongolia University of Science and Technology, Baotou, China.
Xing-Hua LiChangzhi People's Hospital Affiliated to Changzhi Medical College, Changzhi, China.
Wan-Fu BaiDepartment of Pharmacy, Baotou Medical College, Inner Mongolia University of Science and Technology, Baotou, China.
Jia WangDepartment of Pharmacy, Baotou Medical College, Inner Mongolia University of Science and Technology, Baotou, China.
Ying-Chun BaiDepartment of Pharmacy, Baotou Medical College, Inner Mongolia University of Science and Technology, Baotou, China.
Li-Ya FanDepartment of Pharmacy, Baotou Medical College, Inner Mongolia University of Science and Technology, Baotou, China.
Hong ChangDepartment of Pharmacy, Baotou Medical College, Inner Mongolia University of Science and Technology, Baotou, China.
Song-Li ShiDepartment of Pharmacy, Baotou Medical College, Inner Mongolia University of Science and Technology, Baotou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The intricate pathogenesis of renal fibrosis necessitates identifying biomarkers at various stages to facilitate targeted therapeutic interventions, which would enhance patient survival rates and significantly improve prognosis. Methods: We investigated the changes in gut microbiota and serum metabolites during the early, middle, and late stages of renal fibrosis in rats using 16S rDNA sequencing and UPLC-QTOF/MS-based metabolomics. Results: We identified 5, 21, and 14 potential gut microbial markers and 19, 23, and 31 potential metabolic markers in the MOD1, MOD2, and MOD4 groups, respectively. Discussion: Our findings demonstrated that the severity of renal fibrosis is associated with dysbiosis of the gut microbiota and alterations in serum metabolites.

Indexed as

biochemical markerschronic kidney diseasedisease progressioninflammationoxidative stressrenal fibrosis

Identifiers

PMID40357302
PMCPMC12068064

What Socratic holds

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Registered trials

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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.