Evidence map›Paper›PMID 35603148›Full record

ArticleFrontiers in immunology2022

Proteome Profiling Identifies Serum Biomarkers in Rheumatoid Arthritis.

Congqi Hu, Zhao Dai, Jia Xu, Lianyu Zhao, Yanping Xu, Meilin Li, Jiahui Yu, Lu Zhang, Hui Deng, Lijuan Liu and 4 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in immunology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
4.3field-weighted citation impact, top 5% 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

14 citing papers in PubMed, 26 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Rheumatoid Arthritis: Biomarkers and the Latest Breakthroughs.International journal of molecular sciences · 2025
    Review
  7. Article
  8. Article
  9. Review
  10. Serum Biomarkers of Vascular Involvement in Childhood Uveitis.Translational vision science & technology · 2024
    Article
  11. Article
  12. Article
  13. Review
  14. 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

14 authors at 4 institutions in 1 country.

Congqi HuDepartment of Rheumatology, First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China.
Zhao DaiFirst Clinical Medical School, Guangzhou University of Chinese Medicine, Guangzhou, China.
Jia XuFirst Clinical Medical School, Guangzhou University of Chinese Medicine, Guangzhou, China.
Lianyu ZhaoFirst Clinical Medical School, Guangzhou University of Chinese Medicine, Guangzhou, China.
Yanping XuBaiyun Hospital of the First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China.
Meilin LiFirst Clinical Medical School, Guangzhou University of Chinese Medicine, Guangzhou, China.
Jiahui YuFirst Clinical Medical School, Guangzhou University of Chinese Medicine, Guangzhou, China.
Lu ZhangFirst Clinical Medical School, Guangzhou University of Chinese Medicine, Guangzhou, China.
Hui DengFirst Clinical Medical School, Guangzhou University of Chinese Medicine, Guangzhou, China.
Lijuan LiuDepartment of Rheumatology, First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China.
Mingying ZhangDepartment of Rheumatology, First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China.
Jiarong HuangCenter for Chemical Biology and Drug Discovery, Guangzhou Institute of Biomedicine and Health, Chinese Academy of Sciences (CAS), Guangzhou, China.
Linping WuCenter for Chemical Biology and Drug Discovery, Guangzhou Institute of Biomedicine and Health, Chinese Academy of Sciences (CAS), Guangzhou, China.
Guangxing ChenDepartment of Rheumatology, First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China.
Guangzhou University of Chinese Medicine · CNFirst Affiliated Hospital of Guangzhou University of Chinese Medicine · CNChinese Academy of Sciences · CNGuangzhou Institutes of Biomedicine and Health · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rheumatoid arthritis (RA) causes serious disability and productivity loss, and there is an urgent need for appropriate biomarkers for diagnosis, treatment assessment, and prognosis evaluation. To identify serum markers of RA, we performed mass spectrometry (MS)-based proteomics, and we obtained 24 important markers in normal and RA patient samples using a random forest machine learning model and 11 protein-protein interaction (PPI) network topological analysis methods. Markers were reanalyzed using additional proteomics datasets, immune infiltration status, tissue specificity, subcellular localization, correlation analysis with disease activity-based diagnostic indications, and diagnostic receiver-operating characteristic analysis. We discovered that ORM1 in serum is significantly differentially expressed in normal and RA patient samples, which is positively correlated with disease activity, and is closely related to CD56dim natural killer cell, effector memory CD8

Indexed as

Arthritis, RheumatoidProteomeBiomarkersHumansMachine LearningProteomicsBiomarkersProteomebiomarkerORM1proteomicsrheumatoid arthritisserum

Identifiers

PMID35603148
PMCPMC9120366
OpenAlexW4229041451

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.