Evidence map›Paper›PMID 34234835›Full record

ArticleEvidence-based complementary and alternative medicine : eCAM2021

High-Throughput Untargeted Serum Metabolomics Analysis of Hyperuricemia Patients by UPLC-Q-TOF/MS.

Nankun Qin, Yue Jiang, Wenjun Shi, Liting Wang, Lingbo Kong, Chengxiang Wang, Yuying Guo, Jiayu Zhang, Qun Ma

Open access · hybridAbstract read
In one paragraph

Article in Evidence-based complementary and alternative medicine : eCAM, 2021. 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
3.3field-weighted citation impact, top 7% 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

17 citing papers in PubMed, 27 citations in OpenAlex.

  1. Integrative Pharmacokinetic and Metabolomic Profiling ofInternational journal of molecular sciences · 2026
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  16. Sphingolipid metabolism plays a key role in diabetic peripheral neuropathy.Metabolomics : Official journal of the Metabolomic Society · 2022
    Article
  17. Anti-Gout Effects of the Medicinal FungusFrontiers in pharmacology · 2021
    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 at 3 institutions in 1 country.

Nankun QinSchool of Chinese Pharmacy, Beijing University of Chinese Medicine, Beijing 102488, China.ORCID https://orcid.org/0000-0003-3595-9150
Yue JiangSchool of Chinese Pharmacy, Beijing University of Chinese Medicine, Beijing 102488, China.
Wenjun ShiSchool of Chinese Pharmacy, Beijing University of Chinese Medicine, Beijing 102488, China.ORCID https://orcid.org/0000-0001-5981-1973
Liting WangSchool of Chinese Pharmacy, Beijing University of Chinese Medicine, Beijing 102488, China.ORCID https://orcid.org/0000-0002-4791-1958
Lingbo KongBeijing University of Chinese Medicine Affiliated Dongzhimen Hospital, Beijing 100010, China.
Chengxiang WangSchool of Chinese Pharmacy, Beijing University of Chinese Medicine, Beijing 102488, China.ORCID https://orcid.org/0000-0002-7815-1357
Yuying GuoSchool of Chinese Pharmacy, Beijing University of Chinese Medicine, Beijing 102488, China.
Jiayu ZhangSchool of Pharmacy, Binzhou Medical University, Yantai 264003, China.ORCID https://orcid.org/0000-0001-7228-8320
Qun MaSchool of Chinese Pharmacy, Beijing University of Chinese Medicine, Beijing 102488, China.ORCID https://orcid.org/0000-0003-2706-9051
Beijing University of Chinese Medicine · CNBinzhou Medical University · CNDongzhimen Hospital Affiliated to Beijing University of Chinese Medicine · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hyperuricemia (HUA) as a metabolic disease is closely associated with metabolic disorders. The etiology and pathogenesis of HUA are not fully understood, so there is no radical cure so far. Metabolomics, a specialized study of endogenous small molecule substances, has become a powerful tool for metabolic pathway analysis of selected differential metabolites, which is helpful for initially revealing possible development mechanisms of various human diseases. Twenty HUA patients and 20 healthy individuals participated in the experiment, and ultrahigh performance liquid chromatography coupled with quadrupole time-of-flight tandem mass spectrometry (UPLC-Q-TOF/MS) was employed to investigate serum samples to find differential metabolites. The statistical techniques used were principal component analysis and orthogonal partial least-squares discriminant analysis. The differences in metabolomics results of samples after pretreatment with different solvents were compared, 38, 20, 26, 28, 33, 50, and 40 potential differential metabolites were found, respectively, in HUA patient samples, and each group involved different metabolic pathways. Repetitive metabolites were removed, 138 differential metabolites in HUA serum were integrated for analysis, and the human body was affected by 7 metabolic pathways of glycerophospholipid metabolism, sphingolipid metabolism, arachidonic acid metabolism, linoleic acid metabolism, phenylalanine metabolism, phenylalanine, tyrosine and tryptophan biosynthesis, and

Identifiers

PMID34234835
PMCPMC8216829
OpenAlexW3168346427

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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.