Evidence map›Paper›PMID 31491989›Full record

ArticleInternational journal of molecular sciences2019

Proteomics Approach for the Discovery of Rheumatoid Arthritis Biomarkers Using Mass Spectrometry.

Sora Mun, Jiyeong Lee, Arum Park, Hyo-Jin Kim, Yoo-Jin Lee, Hyunsong Son, Miji Shin, Mi-Kyoung Lim, Hee-Gyoo Kang

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
5.0field-weighted citation impact, top 4% 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

27 citing papers in PubMed, 45 citations in OpenAlex.

  1. Review
  2. SAA4: An Underdog Within the Serum Amyloid a Superfamily?International journal of molecular sciences · 2026
    Review
  3. Rheumatoid Arthritis: Biomarkers and the Latest Breakthroughs.International journal of molecular sciences · 2025
    Review
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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 1 institution in 1 country.

Sora MunDepartment of Senior Healthcare, BK21 Plus Program, Graduate School, Eulji University, Seongnam 13135, Korea.
Jiyeong LeeDepartment of Biomedical Laboratory Science, College of Health Sciences, Eulji University, Seongnam 13135, Korea.
Arum ParkDepartment of Biomedical Laboratory Science, College of Health Sciences, Eulji University, Seongnam 13135, Korea.
Hyo-Jin KimDepartment of Senior Healthcare, BK21 Plus Program, Graduate School, Eulji University, Seongnam 13135, Korea.
Yoo-Jin LeeDepartment of Senior Healthcare, BK21 Plus Program, Graduate School, Eulji University, Seongnam 13135, Korea.
Hyunsong SonDepartment of Senior Healthcare, BK21 Plus Program, Graduate School, Eulji University, Seongnam 13135, Korea.
Miji ShinDepartment of Senior Healthcare, BK21 Plus Program, Graduate School, Eulji University, Seongnam 13135, Korea.
Mi-Kyoung LimDivision of Rheumatology, Department of Medicine, Eulji University School of Medicine, Daejeon 34824, Korea.
Hee-Gyoo KangDepartment of Senior Healthcare, BK21 Plus Program, Graduate School, Eulji University, Seongnam 13135, Korea. kanghg@eulji.ac.kr.
Eulji University · KR

Funding

National Research Foundation of Korea 2016M3A9B694241
6 · The paper itself

Abstract

Rheumatoid arthritis is an autoimmune disease that causes serious functional loss in patients. Early and accurate diagnosis of rheumatoid arthritis may attenuate its severity. Despite a diagnosis guideline in the 2010 American College of Rheumatology (ACR)/European League Against Rheumatism (EULAR) classification criteria for rheumatoid arthritis, the practical difficulties in its diagnosis highlight the need of developing new methods for diagnosing rheumatoid arthritis. The current study aimed to identify rheumatoid arthritis diagnostic biomarkers by using a proteomics approach. Serum protein profiling was conducted using mass spectrometry, and five distinguishable biomarkers were identified therefrom. In the validation study, the five biomarkers were quantitatively verified by multiple reaction monitoring (MRM) analysis. Two proteins, namely serum amyloid A4 and vitamin D binding protein, showed high performance in distinguishing patients with rheumatoid arthritis from healthy controls. Logistic analysis was conducted to evaluate how accurately the two biomarkers distinguish patients with rheumatoid arthritis from healthy controls. The classification accuracy was 86.0% and 81.4% in patients with rheumatoid arthritis and in healthy controls, respectively. Serum amyloid A4 and vitamin D binding protein could be potential biomarkers related to the inflammatory response and joint destruction that accompany rheumatoid arthritis.

Indexed as

BiomarkersMass SpectrometryProteomeProteomicsAgedArthritis, RheumatoidComputational BiologyFemaleHumansMaleMiddle AgedPrincipal Component AnalysisBiomarkersProteomebiomarkerdiagnosisproteomicsrheumatoid arthritis

Identifiers

PMID31491989
PMCPMC6769564
OpenAlexW2972273647

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.