Evidence map›Paper›PMID 30662913›Full record

ArticleBioMed research international2018

Development of a Novel Diagnostic Biomarker Set for Rheumatoid Arthritis Using a Proteomics Approach.

Sora Mun, Jiyeong Lee, Mi-Kyoung Lim, You-Rim Lee, Chunhwa Ihm, Seung Hoon Lee, Hee-Gyoo Kang

Open access · hybridAbstract read
In one paragraph

Article in BioMed research international, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
2.4field-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

16 citing papers in PubMed, 30 citations in OpenAlex.

  1. SAA4: An Underdog Within the Serum Amyloid a Superfamily?International journal of molecular sciences · 2026
    Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Review
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

7 authors at 2 institutions in 1 country.

Sora MunDepartment of Senior Healthcare, BK21 Plus Program, Graduate School, Eulji University, Seongnam 13135, Republic of Korea.ORCID 0000-0003-1444-8984
Jiyeong LeeDepartment of Biomedical Laboratory Science, College of Health Sciences, Eulji University, Seongnam 13135, Republic of Korea.
Mi-Kyoung LimDivision of Rheumatology, Department of Medicine, Eulji University School of Medicine, Daejeon 34824, Republic of Korea.
You-Rim LeeDepartment of Senior Healthcare, BK21 Plus Program, Graduate School, Eulji University, Seongnam 13135, Republic of Korea.
Chunhwa IhmDepartment of Laboratory Medicine, Eulji University Hospital, Daejeon 35233, Republic of Korea.
Seung Hoon LeeDepartment of Neurosurgery, Eulji University School of Medicine, Daejeon 34824, Republic of Korea.
Hee-Gyoo KangDepartment of Senior Healthcare, BK21 Plus Program, Graduate School, Eulji University, Seongnam 13135, Republic of Korea.ORCID 0000-0001-8690-2483
Eulji University · KRDaejeon Eulji Medical Center, Eulji University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRheumatoid arthritis (RA) is an autoimmune disease that starts with inflammation of the synovial membrane. Studies have been conducted to develop methods for efficient diagnosis of RA and to identify the mechanisms underlying RA development. Blood samples can be useful for detecting disturbance of homeostasis in patients with RA. Nanoliquid chromatography-tandem mass spectrometry (LC-MS/MS) is an efficient proteomics approach to analyze blood sample and quantify serum proteins.

methodsSerum samples of 18 healthy controls and 18 patients with RA were analyzed by LC-MS/MS. Selected candidate biomarkers were validated by enzyme-linked immunosorbent assay (ELISA) using sera from 43 healthy controls and 44 patients with RA.

resultsThirty-eight proteins were significantly differentially expressed by more than 2-fold in healthy controls and patients with RA. Based on a literature survey, we selected six candidate RA biomarkers. ELISA was used to evaluate whether these proteins effectively allow distinguishing patients with RA from healthy controls and monitoring drug efficacy. SAA4, gelsolin, and vitamin D-binding protein were validated as potential biomarkers of RA for screening and drug efficacy monitoring of RA.

conclusionsWe identified a panel of three biomarkers for RA which has potential for application in RA diagnosis and drug efficacy monitoring. Further, our findings will aid in understanding the pathogenesis of RA.

Indexed as

AgedArthritis, RheumatoidBiomarkersCase-Control StudiesEnzyme-Linked Immunosorbent AssayFemaleHumansMaleMiddle AgedProteomicsBiomarkers

Identifiers

PMID30662913
PMCPMC6312602
OpenAlexW2902488055

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.