Analyses of plasma inflammatory proteins reveal biomarkers predictive of subsequent development of giant cell arteritis : a prospective study
(2023) In Rheumatology (Oxford, England) 62(6). p.2304-2311- Abstract
OBJECTIVE: To investigate the relation between biomarkers of inflammation and subsequent development of giant cell arteritis (GCA).
METHOD: Participants in the population-based Malmö Diet Cancer Study (MDCS; N = 30447), established 1991-1996, 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 analyzed 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... (More)
OBJECTIVE: To investigate the relation between biomarkers of inflammation and subsequent development of giant cell arteritis (GCA).
METHOD: Participants in the population-based Malmö Diet Cancer Study (MDCS; N = 30447), established 1991-1996, 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 analyzed 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.
RESULTS: 94 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 SD 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 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.
CONCLUSION: Elevated IFN-γ levels were found years prior to diagnosis of GCA. T cell activation may precede the clinical onset of GCA.
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- author
- Wadström, Karin LU ; Jacobsson, Lennart T H LU ; Mohammad, Aladdin J LU ; Warrington, Kenneth J ; Matteson, Eric L ; Jakobsson, Magnus E LU and Turesson, Carl LU
- organization
- publishing date
- 2023
- type
- Contribution to journal
- publication status
- published
- subject
- in
- Rheumatology (Oxford, England)
- volume
- 62
- issue
- 6
- pages
- 2304 - 2311
- publisher
- Oxford University Press
- external identifiers
-
- scopus:85143072450
- pmid:36255228
- ISSN
- 1462-0332
- DOI
- 10.1093/rheumatology/keac581
- project
- Pain in early rheumatoid arthritis - predictors and development over time
- language
- English
- LU publication?
- yes
- additional info
- © The Author(s) 2022. Published by Oxford University Press on behalf of the British Society for Rheumatology. All rights reserved. For permissions, please email: journals.permissions@oup.com.
- id
- 1ab8eaf8-8849-4e30-9cbb-86dd4020d93f
- date added to LUP
- 2022-10-20 15:41:38
- date last changed
- 2024-06-15 01:04:02
@article{1ab8eaf8-8849-4e30-9cbb-86dd4020d93f,
abstract = {{<p>OBJECTIVE: To investigate the relation between biomarkers of inflammation and subsequent development of giant cell arteritis (GCA).</p><p>METHOD: Participants in the population-based Malmö Diet Cancer Study (MDCS; N = 30447), established 1991-1996, 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 analyzed 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.</p><p>RESULTS: 94 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 SD 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 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.</p><p>CONCLUSION: Elevated IFN-γ levels were found years prior to diagnosis of GCA. T cell activation may precede the clinical onset of GCA.</p>}},
author = {{Wadström, Karin and Jacobsson, Lennart T H and Mohammad, Aladdin J and Warrington, Kenneth J and Matteson, Eric L and Jakobsson, Magnus E and Turesson, Carl}},
issn = {{1462-0332}},
language = {{eng}},
number = {{6}},
pages = {{2304--2311}},
publisher = {{Oxford University Press}},
series = {{Rheumatology (Oxford, England)}},
title = {{Analyses of plasma inflammatory proteins reveal biomarkers predictive of subsequent development of giant cell arteritis : a prospective study}},
url = {{http://dx.doi.org/10.1093/rheumatology/keac581}},
doi = {{10.1093/rheumatology/keac581}},
volume = {{62}},
year = {{2023}},
}