Cargando…
Analyses of plasma inflammatory proteins reveal biomarkers predictive of subsequent development of giant cell arteritis: a prospective study
OBJECTIVE: To investigate the relation between biomarkers of inflammation and subsequent development of GCA. METHOD: Participants 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...
Autores principales: | , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10234188/ https://www.ncbi.nlm.nih.gov/pubmed/36255228 http://dx.doi.org/10.1093/rheumatology/keac581 |
_version_ | 1785052430680981504 |
---|---|
author | Wadström, Karin Jacobsson, Lennart T H Mohammad, Aladdin J Warrington, Kenneth J Matteson, Eric L Jakobsson, Magnus E Turesson, Carl |
author_facet | Wadström, Karin Jacobsson, Lennart T H Mohammad, Aladdin J Warrington, Kenneth J Matteson, Eric L Jakobsson, Magnus E Turesson, Carl |
author_sort | Wadström, Karin |
collection | PubMed |
description | OBJECTIVE: To investigate the relation between biomarkers of inflammation and subsequent development of GCA. METHOD: Participants 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. RESULTS: Ninety-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. CONCLUSION: Elevated IFN-γ levels were found years prior to diagnosis of GCA. T cell activation may precede the clinical onset of GCA. |
format | Online Article Text |
id | pubmed-10234188 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-102341882023-06-02 Analyses of plasma inflammatory proteins reveal biomarkers predictive of subsequent development of giant cell arteritis: a prospective study Wadström, Karin Jacobsson, Lennart T H Mohammad, Aladdin J Warrington, Kenneth J Matteson, Eric L Jakobsson, Magnus E Turesson, Carl Rheumatology (Oxford) Basic Science OBJECTIVE: To investigate the relation between biomarkers of inflammation and subsequent development of GCA. METHOD: Participants 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. RESULTS: Ninety-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. CONCLUSION: Elevated IFN-γ levels were found years prior to diagnosis of GCA. T cell activation may precede the clinical onset of GCA. Oxford University Press 2022-10-18 /pmc/articles/PMC10234188/ /pubmed/36255228 http://dx.doi.org/10.1093/rheumatology/keac581 Text en © The Author(s) 2022. Published by Oxford University Press on behalf of the British Society for Rheumatology. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (https://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Basic Science Wadström, Karin Jacobsson, Lennart T H Mohammad, Aladdin J Warrington, Kenneth J Matteson, Eric L Jakobsson, Magnus E Turesson, Carl Analyses of plasma inflammatory proteins reveal biomarkers predictive of subsequent development of giant cell arteritis: a prospective study |
title | Analyses of plasma inflammatory proteins reveal biomarkers predictive of subsequent development of giant cell arteritis: a prospective study |
title_full | Analyses of plasma inflammatory proteins reveal biomarkers predictive of subsequent development of giant cell arteritis: a prospective study |
title_fullStr | Analyses of plasma inflammatory proteins reveal biomarkers predictive of subsequent development of giant cell arteritis: a prospective study |
title_full_unstemmed | Analyses of plasma inflammatory proteins reveal biomarkers predictive of subsequent development of giant cell arteritis: a prospective study |
title_short | Analyses of plasma inflammatory proteins reveal biomarkers predictive of subsequent development of giant cell arteritis: a prospective study |
title_sort | analyses of plasma inflammatory proteins reveal biomarkers predictive of subsequent development of giant cell arteritis: a prospective study |
topic | Basic Science |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10234188/ https://www.ncbi.nlm.nih.gov/pubmed/36255228 http://dx.doi.org/10.1093/rheumatology/keac581 |
work_keys_str_mv | AT wadstromkarin analysesofplasmainflammatoryproteinsrevealbiomarkerspredictiveofsubsequentdevelopmentofgiantcellarteritisaprospectivestudy AT jacobssonlennartth analysesofplasmainflammatoryproteinsrevealbiomarkerspredictiveofsubsequentdevelopmentofgiantcellarteritisaprospectivestudy AT mohammadaladdinj analysesofplasmainflammatoryproteinsrevealbiomarkerspredictiveofsubsequentdevelopmentofgiantcellarteritisaprospectivestudy AT warringtonkennethj analysesofplasmainflammatoryproteinsrevealbiomarkerspredictiveofsubsequentdevelopmentofgiantcellarteritisaprospectivestudy AT mattesonericl analysesofplasmainflammatoryproteinsrevealbiomarkerspredictiveofsubsequentdevelopmentofgiantcellarteritisaprospectivestudy AT jakobssonmagnuse analysesofplasmainflammatoryproteinsrevealbiomarkerspredictiveofsubsequentdevelopmentofgiantcellarteritisaprospectivestudy AT turessoncarl analysesofplasmainflammatoryproteinsrevealbiomarkerspredictiveofsubsequentdevelopmentofgiantcellarteritisaprospectivestudy |