Evidence map›Paper›PMID 35942132›Full record

ArticleDisease markers2022

Metabolic Profiling of Serum for Osteoarthritis Biomarkers.

Ziqian Xiao, Zhenyang Zhang, Shanbin Huang, Jerome Rumdon Lon, Shuilin Xie

Open access · hybridAbstract read
In one paragraph

Article in Disease markers, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
1.7field-weighted citation impact, top 15% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 10 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Epigenetic and Metabolic Regulation of Macrophages during Gout.Gout, urate, and crystal deposition disease · 2023
    Article
  6. Article
  7. 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

5 authors at 2 institutions in 1 country.

Ziqian XiaoSchool of Biology and Biological Engineering, South China University of Technology, Guangzhou, China.ORCID https://orcid.org/0000-0001-5313-7797
Zhenyang ZhangSchool of Biology and Biological Engineering, South China University of Technology, Guangzhou, China.ORCID https://orcid.org/0000-0002-2544-2070
Shanbin HuangSchool of Physical Education, South China University of Technology, Guangzhou, China.ORCID https://orcid.org/0000-0002-4497-7863
Jerome Rumdon LonSchool of Biology and Biological Engineering, South China University of Technology, Guangzhou, China.ORCID https://orcid.org/0000-0003-4714-6931
Shuilin XieSchool of Biology and Biological Engineering, South China University of Technology, Guangzhou, China.ORCID https://orcid.org/0000-0003-2680-531X
South China University of Technology · CNShenzhen Institute of Information Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Osteoarthritis is a prevalent aging disease in the world, and in recent years it has shown a trend toward younger age, which is becoming a major health problem in the world and seriously endangers the health of the elderly. However, the etiology and pathogenesis of osteoarthritis are still unclear, causing great trouble for treatment. To screen out candidate biomarkers that could be used for the identification of osteoarthritis and explore the pathogenesis of osteoarthritis, we performed an untargeted metabolomics analysis of nine New Zealand rabbit serum samples by LC-MS/MS, including three normal serum samples (control group) and six osteoarthritis serum samples (case group). Finally, 44 differential metabolites were identified, and the ROC analysis results indicated that a total of 36 differential metabolites could be used as candidate biomarkers. Further metabolic pathway enrichment analysis was performed on these differential metabolites, and we found that a total of 17 metabolic pathways were affected, which may provide directions for the study of osteoarthritis mechanisms.

Indexed as

OsteoarthritisTandem Mass SpectrometryAnimalsBiomarkersChromatography, LiquidMetabolomicsRabbitsBiomarkers

Identifiers

PMID35942132
PMCPMC9356247
OpenAlexW4288435346

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.