Evidence map›Paper›PMID 36422845›Full record

ArticleJournal of microbiology (Seoul, Korea)2022

Characteristic alterations of gut microbiota in uncontrolled gout.

Asad Ul-Haq, Kyung-Ann Lee, Hoonhee Seo, Sukyung Kim, Sujin Jo, Kyung Min Ko, Su-Jin Moon, Yun Sung Kim, Jung Ran Choi, Ho-Yeon Song and 1 more

Abstract read
PubMed Publisher
In one paragraph

Article in Journal of microbiology (Seoul, Korea), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
2.3field-weighted citation impact, top 11% 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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 16 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Pharmaceutics · 2025
    Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. 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

11 authors at 5 institutions in 1 country.

Asad Ul-Haq *Division of Rheumatology, Department of Internal Medicine, Soonchunhyang University Seoul Hospital, Seoul, 04401, Republic of Korea.
Kyung-Ann Lee *Division of Rheumatology, Department of Internal Medicine, Soonchunhyang University Seoul Hospital, Seoul, 04401, Republic of Korea.
Hoonhee Seo *Probiotics Microbiome Convergence Center, Soonchunhyang University, Asan, 31538, Republic of Korea.
Sukyung KimDepartment of Microbiology and Immunology, School of Medicine, Soonchunhyang University, Cheonan, 33151, Republic of Korea.
Sujin JoProbiotics Microbiome Convergence Center, Soonchunhyang University, Asan, 31538, Republic of Korea.
Kyung Min KoDivision of Rheumatology, Department of Internal Medicine, International St. Mary's Hospital, Catholic Kwandong University College of Medicine, Incheon, 22711, Republic of Korea.
Su-Jin MoonDivision of Rheumatology, Department of Internal Medicine, Yeouido St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, 07345, Republic of Korea.
Yun Sung KimDivision of Rheumatology, Department of Internal Medicine, Chosun University College of Medicine, Gwangju, 61452, Republic of Korea.
Jung Ran ChoiDivison of Rheumatology, Department of Internal Medicine, Pohang St. Mary's Hospital, Pohang, 37661, Republic of Korea.
Ho-Yeon SongProbiotics Microbiome Convergence Center, Soonchunhyang University, Asan, 31538, Republic of Korea. songmic@sch.ac.kr.
Hyun-Sook KimDivision of Rheumatology, Department of Internal Medicine, Soonchunhyang University Seoul Hospital, Seoul, 04401, Republic of Korea. healthyra@schmc.ac.kr.
Soonchunhyang University · KRSoonchunhyang University Hospital Seoul · KRCatholic Kwandong University International St. Mary's Hospital · KRChosun University · KRThe Catholic University of Korea Yeouido St. Mary's Hospital · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Microbiome research has been on the rise recently for a more in-depth understanding of gout. Meanwhile, there is a need to understand the gut microbiome related to uric acid-lowering drug resistance. In this study, 16S rRNA gene-based microbiota analysis was performed for a total of 65 stool samples from 17 healthy controls and 48 febuxostat-treated gout patients (including 28 controlled subjects with decreased uric acid levels and 20 uncontrolled subjects with non-reduced uric acid levels). Alpha diversity of bacterial community decreased in the healthy control, controlled, and uncontrolled groups. In the case of beta diversity, the bacterial community was significantly different among groups (healthy control, controlled, and uncontrolled groups). Taxonomic biomarker analysis revealed the increased population of g-Bifidobacterium in healthy controls and g-Prevotella in uncontrolled patients. PCR further confirmed this result at the species level. Additionally, functional metagenomics predictions led to the exploration of various functional biomarkers, including purine metabolism. The results of this study can serve as a basis for developing potential new strategies for diagnosing and treating gout from microbiome prospects.

Indexed as

Gastrointestinal MicrobiomeGoutBacteriaFecesHumansRNA, Ribosomal, 16SUric AcidRNA, Ribosomal, 16SUric AcidBifidobacteriumBifidobacterium aldolescentisgoutgut microbiomeshyperuricemiamicrobiotaPrevotellaPrevotella copriuncontrolled gout

Identifiers

PMID36422845
OpenAlexW4309886619

What Socratic holds

Textmetadata
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.