Evidence map›Paper›PMID 36255228›Full record

ArticleRheumatology (Oxford, England)2023

Analyses of plasma inflammatory proteins reveal biomarkers predictive of subsequent development of giant cell arteritis: a prospective study.

Karin Wadström, Lennart T H Jacobsson, Aladdin J Mohammad, Kenneth J Warrington, Eric L Matteson, Magnus E Jakobsson, Carl Turesson

Open access · bronzeAbstract read
In one paragraph

Article in Rheumatology (Oxford, England), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.9field-weighted citation impact, top 8% 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

10 citing papers in PubMed, 19 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Plasma proteome profiling in giant cell arteritis.Annals of the rheumatic diseases · 2024
    Article
  5. Article
  6. Review
  7. Article
  8. Review
  9. Article
  10. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 3 institutions in 3 countries.

Karin WadströmRheumatology, Department of Clinical Sciences, Lund University, Malmö.ORCID 0000-0002-3051-3005
Lennart T H JacobssonRheumatology, Department of Clinical Sciences, Lund University, Malmö.
Aladdin J MohammadDepartment of Rheumatology, Skåne University Hospital, Lund, Sweden.ORCID 0000-0002-7169-6936
Kenneth J WarringtonDivision of Rheumatology, Mayo Clinic College of Medicine and Science, Rochester, MN, USA.ORCID 0000-0001-7708-2487
Eric L MattesonDivision of Rheumatology, Mayo Clinic College of Medicine and Science, Rochester, MN, USA.
Magnus E JakobssonDepartment of Immunotechnology, Lund University, Lund, Sweden.
Carl TuressonRheumatology, Department of Clinical Sciences, Lund University, Malmö.ORCID 0000-0002-3805-2290
Lund University · SEMayo Clinic in Arizona · USUniversity of Cambridge · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo investigate the relation between biomarkers of inflammation and subsequent development of GCA.

methodParticipants in the population-based Malmö Diet Cancer Study (MDCS; N = 30 447), established 1991-96, who were subsequently diagnosed with GCA, were identified in a structured process. GCA-free controls, matched for sex, year of birth and year of screening were selected from the study cohort. Baseline plasma samples were analysed using the antibody-based OLINK proteomics inflammation panel (92 inflammatory proteins). Analyses were pre-designated as hypothesis-driven or hypothesis-generating. In the latter, principal component analysis was used to identify groups of proteins that explain the variance in the proteome. Within components selected based on eigenvalues, proteins with a factor loading of >0.50 were investigated.

resultsNinety-four cases with a confirmed incident diagnosis of GCA (median 11.9 years after inclusion) were identified. Among biomarkers with a priori hypotheses, IFN-γ was positively associated with GCA [odds ratio (OR) per s.d. 1.52; 95% CI 1.00, 2.30]. Eight biomarkers in the hypothesis-generating analyses were significantly associated with development of GCA. Among these, higher levels of IFN-γ (OR 2.37; 95% CI 1.14, 4.92) and monocyte chemotactic protein 3 (MCP3) (OR 4.27; 95% CI 1.26, 14.53) were particularly associated with increased risk of GCA in the subset sampled <8.5 years before diagnosis. Several other proteins known to be important for T cell function were also associated with GCA in these analyses, e.g. CXCL9, IL-2, CD40 and CCL25.

conclusionElevated IFN-γ levels were found years prior to diagnosis of GCA. T cell activation may precede the clinical onset of GCA.

Indexed as

Giant Cell ArteritisBiomarkersBlood ProteinsHumansInflammationProspective StudiesBiomarkersBlood ProteinsbiomarkersGCAIFN-γinflammationpathogenesis

Identifiers

PMID36255228
PMCPMC10234188
OpenAlexW4306732956

What Socratic 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 Socratic graph.