Evidence map›Paper›PMID 37809388›Full record

ArticleHeliyon2023

Alterations of gut microbiota and metabolome in early chronic kidney disease patients complicated with hyperuricemia.

Ping Liu, Jianli Yang, Yu Chen, Yifan Zhu, Yuyan Tang, Xudong Xu, Haidong He

Open access · goldAbstract read
In one paragraph

Article in Heliyon, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
3.2field-weighted citation impact, top 8% of its field
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

13 citing papers in PubMed, 16 citations in OpenAlex.

  1. Supplementation withThe veterinary quarterly · 2026
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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

7 authors at 3 institutions in 1 country.

Ping LiuDepartment of Nephrology, Minhang Hospital, Fudan University, Shanghai, PR China.
Jianli YangEast China University of Science and Technology, Shanghai, China.
Yu ChenEast China University of Science and Technology, Shanghai, China.
Yifan ZhuDepartment of Nephrology, Minhang Hospital, Fudan University, Shanghai, PR China.
Yuyan TangDepartment of Nephrology, Minhang Hospital, Fudan University, Shanghai, PR China.
Xudong XuDepartment of Nephrology, Minhang Hospital, Fudan University, Shanghai, PR China.
Haidong HeDepartment of Nephrology, Minhang Hospital, Fudan University, Shanghai, PR China.
Minhang District Central Hospital · CNEast China University of Science and Technology · CNFudan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Object: This study aims to investigate the changes in gut microbiota and metabolism of patients with chronic kidney disease (CKD) stage 1-2, as well as the potential impact of hyperuricemia (HUA) on these factors in CKD stage 1-2 patients. Methods: In this study, fecal samples were collected from CKD stage 1-2 without HUA patients (CKD-N group), CKD stage 1-2 with HUA patients (CKD-H group), and healthy people controls (HCs group). The samples were then subjected to the microbiome (16S rRNA gene sequencing) and metabolome (liquid chromatography-tandem mass spectrometry) analyses. The multi-omics datasets were analyzed individually and integrated for combined analysis using various bioinformatics approaches. Results: Gut microbial dysbiosis was found in CKD-N and CKD-H patients. At the phylum level, compared to HCs group, Conclusion: The gut microbiota and metabolic status undergo significant changes in CKD patients compared to healthy people. Additionally, HUA has been found to impact the gut microbiota of CKD patients, as well as their metabolism. The close association between gut microbiota and metabolites suggests that the former plays a crucial role in metabolism.

Indexed as

Early stage chronic kidney diseaseGut microbiotaHyperuricemiaMetabolome

Identifiers

PMID37809388
PMCPMC10560056
OpenAlexW4386851377

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.