Evidence map›Paper›PMID 35978088›Full record

ArticleScientific reports2022

Investigation of pathogenesis of hyperuricemia based on untargeted and targeted metabolomics.

Nankun Qin, Ming Qin, Wenjun Shi, Lingbo Kong, Liting Wang, Guang Xu, Yuying Guo, Jiayu Zhang, Qun Ma

Abstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. International journal of molecular sciences · 2025
    Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Plantaginis Semen Ameliorates Hyperuricemia Induced by Potassium Oxonate.International journal of molecular sciences · 2024
    Article
  11. Microorganisms · 2024
    Article
  12. Frontiers in pharmacology · 2024
    Article
  13. Article
  14. Biodegradation of Uric Acid byMicroorganisms · 2023
    Article
  15. Review
  16. Review
  17. 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

9 authors.

Nankun Qin *School of Chinese Pharmacy, Beijing University of Chinese Medicine, Beijing, 102488, China.
Ming Qin *School of Chinese Pharmacy, Beijing University of Chinese Medicine, Beijing, 102488, China.
Wenjun ShiSchool of Chinese Pharmacy, Beijing University of Chinese Medicine, Beijing, 102488, China.
Lingbo KongAffiliated Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, 100010, China.
Liting WangSchool of Chinese Pharmacy, Beijing University of Chinese Medicine, Beijing, 102488, China.
Guang XuSchool of Chinese Pharmacy, Beijing University of Chinese Medicine, Beijing, 102488, China.
Yuying GuoSchool of Chinese Pharmacy, Beijing University of Chinese Medicine, Beijing, 102488, China.
Jiayu ZhangSchool of Pharmacy, Binzhou Medical University, Yantai, 264003, China.
Qun MaSchool of Chinese Pharmacy, Beijing University of Chinese Medicine, Beijing, 102488, China. maqun99@126.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hyperuricemia (HUA) seriously harms human health but the exact etiology and pathogenesis of HUA are not fully understood. Therefore, it is still of great significance to find effective biomarkers and explore the pathogenesis of HUA. Metabolomics reflects the influence of internal and external factors on system metabolism, explains the changes in metabolite levels during the development of diseases, and reveals the molecular mechanism of pathogenesis. Metabolomics is divided into untargeted metabolomics and targeted metabolomics according to different research modes. Each other's advantages can be fully utilized by combining the two so that the results of metabolomics research can be consummated. 20 HUA patients and 20 healthy individuals participated in the experiment, and untargeted metabolomics was employed to find 50 differential metabolites in HUA serum samples. Twelve candidate biomarkers were screened based on literature research and ROC Curve analysis for subsequent verification. Based on the UPLC-TQ-MS analysis platform, the targeted metabolomics detection methods were established and the content of 12 candidate biomarkers was precisely quantified. Compare with the results of untargeted metabolomics, the targeted metabolomics results were considered more reliable.

Indexed as

HyperuricemiaBiomarkersHumansMetabolomicsROC CurveBiomarkers

Identifiers

PMID35978088
PMCPMC9386008

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.