Evidence map›Paper›PMID 39698087›Full record

ArticleHeliyon2024

Mechanism of intestinal flora affecting SLC2A9 transport function to promote the formation of hyperuricemia.

Ying Ying, Yi Zhang, Jing Sun, Yong Chen, Huaxiang Wu

Abstract read
In one paragraph

Article in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Article
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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

5 authors.

Ying YingDepartment of Rheumatology, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.
Yi ZhangDepartment of Rheumatology, The Second Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China.
Jing SunDepartment of Rheumatology, The Second Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China.
Yong ChenDepartment of Rheumatology, Ningbo No. 2 Hospital, Ningbo, Zhejiang, China.
Huaxiang WuDepartment of Rheumatology, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To investigate the structural characteristics of the intestinal flora in obese-hyperuricemic (HUA-W) patients and the mechanisms by which they promote the formation of hyperuricemia. Methods: 120 human fecal samples (60 cases in HC, 30 cases in HUA-N, and 30 cases in HUA-W) and 40 cases in the colonic tissues (20 cases in HC, 10 cases in HUA-N, and 10 cases in HUA-W) were collected. The intestinal flora of faeces was detected by 16s rRNA method; and the expression of SLC2A9 on human colon tissues was detected by RT-qPCR method and immunofluorescence method. 40 obese-hyperuricemia rat models were established (10 rats in Model, 10 rats in HC-FT, 10 rats in HUA-N-FT, and 10 rats in HUA-W-FT), and 10 rats were set up in Control; and the level of uric acid in rat serum, the levels of xanthine oxidase (XOD) activity and uric acid in intestinal fluid were examined. SLC2A9 Results: The HUA-W intestinal flora showed significant specificity, with a decrease in Bacteroidota and Bacteroidia and an increase in Escherichia and Ruminococcus. There were no significant differences in the fluorescence intensity of the SLC2A9 protein and the SLC2A9 mRNA levels in the colon tissues of the HUA-N and HUA-W ( Conclusion: HUA-W intestinal flora may increase XOD activity in the intestinal tract and improve the ability of uric acid transporter protein SLC2A9 to reabsorb uric acid, providing a new theoretical basis for the pathogenesis of hyperuricemia.

Indexed as

HyperuricemiaIntestinal floraObesitySLC2A9XOD

Identifiers

PMID39698087
PMCPMC11652827

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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 OpenQuestion graph.