Inflammatory and bone biomarkers/composites as a predictive tool for clinical characteristics of rheumatoid arthritis patients

Ali Hameed Hussein and Yaseen Muna Mohammed and AL-Rawi Khalid F. and Alaaraji Shakir F. T. and Al-Hakeim Hussein Kadhem: Inflammatory and bone biomarkers/composites as a predictive tool for clinical characteristics of rheumatoid arthritis patients. In: Acta biologica Szegediensis, (65) 2. pp. 271-283. (2021)

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Abstract

Rheumatoid arthritis (RA) is related to alterations in different inflammatory and connective tissue biomarkers. The diagnostic values and the factors affecting these biomarkers are conflicting. In the present study, a bone-related composite (B-composite), made from the z-score of stromelysin-1 (MMP3), colony-stimulating factor 2 (CSF2), and osteopontin (OPN), and I-composite, reflecting immune activation, made from the z-score of tumor necrosis factor-α (TNFα), interferon-γ (INFγ), and vascular endothelial growth factor-A (VEGF) were examined in RA patients. The biomarkers were measured by ELISA technique in 102 RA patients and 58 age-matched healthy control subjects. Serum MMP3, TNFα, IFNγ, and CSF2 showed significant elevation in RA patients. Multivariate general linear model (GLM) analysis revealed a significant high effect of diagnosis on biomarkers' level (partial η2 = 0.415). Duration of disease is significantly associated with VEGF, OPN, and B-composite and negatively correlated with TNFα. B-composite is significantly associated with CRP. A significant fraction of the DAS28 score variance can be explained by the regression on zlnINFγ. The variance in the CRP was explained by zlnOPN and B-composite. More than half of anti-citrullinated protein antibodies (ACPA) variation can be explained by the regression on serum MMP3 and I-composite. The top 3 sensitive predictors for RA disease are INFγ, MMP3, and TNFα. B-composite is associated with the duration of disease and CRP. At the same time, I-composite is negatively associated with the ACPA level. The biomarker composites have potential use as RA disease characteristic biomarkers.

Item Type:	Article
Journal or Publication Title:	Acta biologica Szegediensis
Date:	2021
Volume:	65
Number:	2
ISSN:	1588-4095
Page Range:	pp. 271-283
Language:	English
Publisher:	University of Szeged
Place of Publication:	Szeged
Related URLs:	http://acta.bibl.u-szeged.hu/75564/
Uncontrolled Keywords:	Gyulladás - ízületi és csont
Additional Information:	Bibliogr.: p. 279-283. ; összefoglalás angol nyelven
Subjects:	01. Natural sciences 01. Natural sciences > 01.06. Biological sciences 03. Medical and health sciences 03. Medical and health sciences > 03.02. Clinical medicine
Date Deposited:	2022. May. 12. 13:04
Last Modified:	2022. May. 12. 13:04
URI:	http://acta.bibl.u-szeged.hu/id/eprint/75601

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