Evidence map›Paper›PMID 41976500›Full record

ArticleFoods (Basel, Switzerland)2026

Exopolysaccharides from

Min Wei, Yingsheng Hu, Xiaoxian Li, Xingyi Long, Zhihong Zhang, Xueying Tao, Hua Wei

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Foods (Basel, Switzerland), 2026. 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. Article
  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

7 authors.

Min WeiState Key Laboratory of Food Science and Resources, Nanchang University, Nanchang 330047, China.
Yingsheng HuState Key Laboratory of Food Science and Resources, Nanchang University, Nanchang 330047, China.
Xiaoxian LiState Key Laboratory of Food Science and Resources, Nanchang University, Nanchang 330047, China.
Xingyi LongState Key Laboratory of Food Science and Resources, Nanchang University, Nanchang 330047, China.
Zhihong ZhangState Key Laboratory of Food Science and Resources, Nanchang University, Nanchang 330047, China.
Xueying TaoState Key Laboratory of Food Science and Resources, Nanchang University, Nanchang 330047, China.
Hua WeiState Key Laboratory of Food Science and Resources, Nanchang University, Nanchang 330047, China.

Funding

National Natural Science Foundation of China NSF 32360026National Natural Science Foundation of China NSF 82361004Natural Science Foundation of Jiangxi No. 20232ACB205004
6 · The paper itself

Abstract

backgroundHyperuricemia (HUA) is associated with excessive uric acid (UA) production, impaired renal excretion, and gut microbial dysbiosis. This study aims to systematically evaluate the alleviating effects of exopolysaccharide (EPS04) derived from

methodsThe study employed both in vitro HK-2 cells and in vivo animal studies in HUA mice. Key methods included assessing xanthine oxidase (XOD) activity and reactive oxygen species (ROS) production in vitro and measuring serum UA levels, renal function parameters, XOD activity, and gene expression in vivo. Additionally, 16S rRNA sequencing was used to analyze gut microbiota composition.

resultsEPS04 reduced UA production in HK-2 cells by inhibiting XOD activity and downregulating its gene expression while also decreasing XOD-derived ROS. EPS04 significantly lowered serum UA levels and attenuated renal injury in HUA mice. Hepatic

conclusionsEPS04 alleviates HUA through inhibition of XOD activity, upregulation of renal

Indexed as

exopolysaccharidegut microbiotahyperuricemiaLactiplantibacillus plantarumuric acid metabolism

Identifiers

PMID41976500
PMCPMC13073181

What OpenQuestion 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 OpenQuestion graph.