Evidence map›Paper›PMID 32508748›Full record

ArticleFrontiers in endocrinology2020

Characteristics of the Urinary Microbiome From Patients With Gout: A Prospective Study.

Yaogui Ning, Guomei Yang, Yangchun Chen, Xue Zhao, Hongyan Qian, Yuan Liu, Shiju Chen, Guixiu Shi

Open access · goldAbstract read
In one paragraph

Article in Frontiers in endocrinology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
2.5field-weighted citation impact, top 10% 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

19 citing papers in PubMed, 1 synthesis or guideline pooled it, 26 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Article
  6. In-depth Microbiological Characterization of Urine From Subjects With Type 2 Diabetes.The Journal of clinical endocrinology and metabolism · 2024
    Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Review
  12. [Screening, domestication and identification of intestinal uric acid degrading bacteria in low uric acid population].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2022
    Article
  13. Microbiome-associated human genetic variants impact phenome-wide disease risk.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  14. Review
  15. Review
  16. Article
  17. Review
  18. Frontiers in pharmacology · 2021
    Article
  19. 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

8 authors at 2 institutions in 1 country.

Yaogui NingSchool of Medicine, Xiamen University, Xiamen, China.
Guomei YangSchool of Medicine, Xiamen University, Xiamen, China.
Yangchun ChenDepartment of Rheumatology and Clinical Immunology, The First Affiliated Hospital of Xiamen University, Xiamen, China.
Xue ZhaoSchool of Medicine, Xiamen University, Xiamen, China.
Hongyan QianDepartment of Rheumatology and Clinical Immunology, The First Affiliated Hospital of Xiamen University, Xiamen, China.
Yuan LiuDepartment of Rheumatology and Clinical Immunology, The First Affiliated Hospital of Xiamen University, Xiamen, China.
Shiju ChenDepartment of Rheumatology and Clinical Immunology, The First Affiliated Hospital of Xiamen University, Xiamen, China.
Guixiu ShiDepartment of Rheumatology and Clinical Immunology, The First Affiliated Hospital of Xiamen University, Xiamen, China.
First Affiliated Hospital of Xiamen University · CNXiamen University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The role of host microbes in the pathogenesis of several diseases has been established, and altered microbiomes have been related to diseases. However, the variability of the urinary microbiome in individuals with gout has not been evaluated to date. Therefore, we conducted the present prospective study to characterize the urinary microbiome and its potential relation to gout. Urine samples from 30 patients with gout and 30 healthy controls were analyzed by Illumina MiSeq sequencing of the 16S rRNA hypervariable regions, and the microbiomes were compared according to alpha-diversity indices, complexity (beta diversity) with principal component analysis, and composition with linear discriminant analysis effect size. The most significantly different taxa at the phylum and genus levels were identified, and their potential as biomarkers for discriminating gout patients was assessed based on receiver operating characteristic (ROC) curve analysis. Compared with the healthy controls, there was a dramatic decrease in microbial richness and diversity in the urine of gout patients. The phylum Firmicutes and its derivatives (Lactobacillus_iners, Family_XI, and Finegoldia), the phylum Actinobacteria and its derivatives (unidentified_Actinobacteria, Corynebacteriales, Corynebacteriale, Corynebacterium_1, and Corynebacterium_tuberculostearicum), and the genera

Indexed as

MicrobiotaAdultBacteriaBiomarkersCase-Control StudiesDNA, BacterialFollow-Up StudiesGoutHumansMaleMiddle AgedPrognosisProspective StudiesRNA, Ribosomal, 16SUrineBiomarkersDNA, BacterialRNA, Ribosomal, 16S16S rRNAbiomarkergouthigh-throughput sequencingmicrobiomeurine

Identifiers

PMID32508748
PMCPMC7251145
OpenAlexW3028364882

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.