| Literature DB >> 31462829 |
Piotr Wojdasiewicz1, Anna Wajda2, Ewa Haładyj3, Katarzyna Romanowska-Próchnicka3, Anna Felis-Giemza3, Jolanta Nałęcz-Janik3, Marcela Walczyk3, Marzena Olesińska3, Beata Tarnacka4, Agnieszka Paradowska-Gorycka2.
Abstract
OBJECTIVES: Inflammatory processes in rheumatic diseases spread via various types of immune system cells and tissues with the aid of inflammatory cytokines and growth factors and the participation of vascular endothelium. Research is still conducted to determine the role of individual factors in the pathophysiology of rheumatic diseases. The task is complicated because the multiplane network of cytokines is characterized by complex correlations manifesting as positive and negative feedback, which impedes the definitive interpretation of the role of specific cytokines. Therefore, it seems justified to perform a comparative analysis of the expression of at least several molecules in one study, which may help reveal their role in the pathogenesis of rheumatic diseases and have prognostic value.Entities:
Keywords: BAFF; VEGF; biomarkers; cytokines; rheumatic diseases
Year: 2019 PMID: 31462829 PMCID: PMC6710841 DOI: 10.5114/reum.2019.86424
Source DB: PubMed Journal: Reumatologia ISSN: 0034-6233
Characteristics of the study groups
| Characteristic | APS ( | SLE ( | MCTD ( | RA ( |
|---|---|---|---|---|
| Age | 42 (19–68) | 34 (19–74) | 35 (19–60) | 60 (32–75) |
| Female ( | 14 (58) | 22 (78) | 7 (78) | 38 (88) |
| Disease duration (years) | 1 (0–16) | 2 (0–29) | 7 (1–34) | 8 (0–34) |
| CRP (mg/l) | 10 (1–82) | 4 (1–84) | 5 (1–8) | 13 (3–11) |
| ESR (mm/h) | 20 (2–63) | 22 (2–79) | 11 (2–105) | 36 (6–160) |
| Thrombocytopenia (%) | 17 | 14 | 33 | 5 |
| Leukocytopenia (%) | 9 | 40 | 11 | 2 |
| CAD (%) | 13 | 25 ( | 33 | 26 |
| Serology | Anti-dsDNA (+) 39% | Anti-dsDNA (+) 75% | Anti-CENP-B (+) 22% | Anti-CCP (+) 79% |
APS – antiphospholipid syndrome, SLE – systemic lupus erythematosus, MCTD – mixed connective tissue disease, RA – rheumatoid arthritis.
Fig. 1Serum VEGF (pg/ml) in APS, MCTD, SLE and RA patients. Kruskal-Wallis and Dunn’s Multiple comparison test.
Fig. 2Serum IL-35 (pg/ml) in APS, MCTD, SLE and RA patients. Kruskal-Wallis and Dunn’s multiple comparison test.
Correlation of serum cytokines level in APS patients. Significance at p < 0.05
| Value | BAFF | IL-35 | VEGF | TNF-α |
|---|---|---|---|---|
| APS | ||||
| BAFF | 0.026489 | 0.187863 | 0.7756917 | |
| IL-35 | 0.02648894 | –0.25647 | 0.104937 | |
| VEGF | 0.1878629 | –0.25647 | 0.2923782 | |
| TNF-α | 0.7756917 | 0.104937 | 0.292378 | |
| BAFF | IL-35 | VEGF | TNF-α | |
| BAFF | 0.904505 | 0.414798 | < 0.0000 | |
| IL-35 | 0.9045048 | 0.261758 | 0.6337081 | |
| VEGF | 0.4147979 | 0.261758 | 0.198399 | |
| TNF-α | < 0.0000 | 0.633708 | 0.198399 | |
APS – antiphospholipid syndrome, BAFF – B-cell-activating factor, IL-35 – interleukin 35, VEGF – vascular endothelial growth factor, TNF-α – tumour necrosis factor α.
Fig. 3Serum TNF-α (pg/ml) correlation with BAFF (pg/ml) in APS patients. Spearman’s correlation test.
Positive of serum cytokines level in SLE patients. Significance at p < 0.05
| Value | BAFF | IL-35 | VEGF | TNF-α | ||||
|---|---|---|---|---|---|---|---|---|
| SLE | ||||||||
| BAFF | –0.15 | 0.01 | 0.55 | |||||
| IL-35 | –0.15 | –0.02 | –0.29 | |||||
| VEGF | 0.01 | –0.02 | 0.04 | |||||
| TNF-α | 0.55 | –0.29 | 0.04 | |||||
| BAFF | 0.62 | 0.95 | 0.00 | |||||
| IL-35 | 0.62 | 0.91 | 0.10 | |||||
| VEGF | 0.95 | 0.91 | 0.71 | |||||
| TNF-α | 0.00 | 0.10 | 0.71 | |||||
SLE – systemic lupus erythematosus, BAFF – B-cell-activating factor, IL-35 – interleukin 35, VEGF – vascular endothelial growth factor, TNF-α – tumour necrosis factor α.