Artikel
Sex differences in cytokine levels and PBMC subsets in axial Spondyloarthritis
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Autoren
Veröffentlicht: | 30. August 2023 |
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Gliederung
Text
Introduction: Disease progression, treatment efficacy and several inflammatory biomarkers are differentially pronounced in females and males suffering from axial Spondyloarthritis (axSpA), suggesting that there are sex-specific differences in the pathophysiology of axSpA. Nevertheless, knowledge of sex-specific differences in axSpA pathology is still limited and treatment response is worse in female patients. The aim of this study is therefore to delineate sex-specific differences in axSpA-related biomarkers and peripheral blood mononuclear cell (PBMC) subsets in biologically naïve nr-axSpA and r-axSpA patients.
Methods: Plasma samples from biologically naïve nr-axSpA (males n=9, females n=6) and r-axSpA (males n=26, females n=10), with high disease activity, and age-matched back pain controls (males n=7, females n=14) were analyzed for levels of HGF, IL-6, IL-10, IL-12(p40), TNF-a, VEGF, IL-17A, IL-22, IL-23, MMP-3, Osteocalcin and Osteopontin by multiplex analysis. PBMC subsets were differentiated by flow cytometry utilizing specific extracellular markers.
Results: In consistency with other studies, we found higher levels of IL-6 in r-axSpA females than in males but notably male nr-axSpA patients exhibit significantly higher plasma IL-6 levels than females (p<0,05). In addition, male r-axSpA patients had a higher MMP-3 concentration than females (p<0,05). Interestingly, HGF levels were significantly higher in nr-axSpA males than in nr-axSpA females (p<0,05). So far, flow cytometry data did not reveal any significant differences in frequencies of PBMC subsets between males and females suffering from either nr- or r-axSpA.
Conclusion: Our data demonstrate that the plasma expression of pathogenetically relevant biomarkers such as IL-6, HGF and MMP-3 is sex- and moreover disease subgroup- (nr-/r-axSpA) specific, supporting the necessity and clinical relevance of further sex- and disease-subgroup-specific analysis. This will help to define sex- and group-specific therapeutic targets and to develop new personalized treatment strategies, thus improving therapy response.
Disclosure: Nothing to disclose.