Evidence map›Paper›PMID 30262983›Full record

ArticleBiomarker insights2018

Identifying Reliable Diagnostic/Predictive Biomarkers for Rheumatoid Arthritis.

Leroy Shervington, Ashish Darekar, Murassa Shaikh, Roshini Mathews, Amal Shervington

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Biomarker insights, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
1.6field-weighted citation impact, top 17% 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

15 citing papers in PubMed, 21 citations in OpenAlex.

  1. Review
  2. Review
  3. Energy metabolism in health and diseases.Signal transduction and targeted therapy · 2025
    Review
  4. Review
  5. Review
  6. Review
  7. HSPA6 and its role in cancers and other diseases.Molecular biology reports · 2022
    Review
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Metabolic reprogramming as a key regulator in the pathogenesis of rheumatoid arthritis.Inflammation research : official journal of the European Histamine Research Society ... [et al.] · 2020
    Review
  14. Review
  15. 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

5 authors at 2 institutions in 1 country.

Leroy ShervingtonSchool of Pharmacy and Biomedical Sciences, University of Central Lancashire, Preston, UK.
Ashish DarekarStevenage Bioscience Catalyst, Stevenage, UK.
Murassa ShaikhSchool of Pharmacy and Biomedical Sciences, University of Central Lancashire, Preston, UK.
Roshini MathewsSchool of Pharmacy and Biomedical Sciences, University of Central Lancashire, Preston, UK.
Amal ShervingtonSchool of Pharmacy and Biomedical Sciences, University of Central Lancashire, Preston, UK.
University of Central Lancashire · GBStevenage Bioscience Catalyst · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

INTRODUCTION AND

objectiveElevated C-reactive protein is usually a good indicator of rheumatoid arthritis (RA); however, there are limitations that compromise its specificity and therefore there is an urgent need to identify more reliable diagnostic biomarkers to detect early stages of RA. In addition, identifying the correct therapeutic biomarker for the treatment of RA using methotrexate (MTX) would greatly increase the benefits experienced by the patients. MATERIALS AND

methodsPrimary normal synoviocytes human fibroblast-like synoviocytes (HFLS) and its phenotype rheumatic HFLS-RA cells were chosen for this study. The HFLS-RA-untreated and MTX-treated cells were subjected to microarray analysis.

resultsMicroarray data identified 74 differentially expressed genes. These genes were mapped against an RA inflammatory pathway, shortlisting 10 candidate genes. Gene expression profiling of the 10 genes were studied. Fold change (FC) was calculated to determine the differential expression of the samples. DISCUSSION: The transcription profiles of the 10 candidate genes were highly induced in HFLS-RA cells compared with HFLS cells. However, on treating the HFLS-RA cells with MTX, the transcription profiles of these genes were highly downregulated. The most significant expression FC difference between HFLS and HFLS-RA (treated and untreated) was observed with

conclusionsThe data from this study suggest the use of

Indexed as

CRPmicroarrayqRT-PCRRARA diagnostic and predictive biomarkers

Identifiers

PMID30262983
PMCPMC6153528
OpenAlexW2894509624

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.