Circulating Malondialdehyde Is a Potential Biomarker for Predicting All-Cause Mortality during Follow-Up by Reflecting Comprehensive Inflammation at Diagnosis in Patients with Antineutrophil Cytoplasmic Antibody-Associated Vasculitis.

Background and Objectives: To investigate whether circulating malondialdehyde (cMDA) at diagnosis could contribute to reflecting cross-sectional comprehensive inflammation or vasculitis activity and further predicting all-cause mortality during follow-up in patients with antineutrophil cytoplasmic antibody-associated vasculitis (AAV). Materials and Methods: This study included 78 patients with AAV. Erythrocyte sedimentation rate (ESR) and C-reactive protein (CRP) levels were collected as indices reflecting cross-sectional comprehensive inflammation, whereas the Birmingham vasculitis activity score (bVAS), and the five-factor score (FFS) were reviewed as AAV-specific indices. All-cause mortality was considered to be a poor outcome during follow-up. cMDA was measured from stored sera. Results: The median age of the 78 patients (32 men and 46 women) was 63.0 years. The median BVAS, FFS, ESR, and CRP were 5.0, 0, 24.5 mm/h, and 3.4 mg/L, respectively. Six patients died during the median follow-up duration based on all-cause mortality at 26.7 months. At diagnosis, cMDA was significantly correlated with cross-sectional ESR but not with BVAS or FFS. Compared to patients with cMDA < 221.7 ng/mL, those with cMDA ≥ 221.7 ng/mL at diagnosis exhibited an increased relative risk (RR 12.4) for all-cause mortality and further showed a decreased cumulative patient survival rate. Cox analyses revealed that cMDA ≥ 221.7 ng/mL (hazard ratio 24.076, p = 0.007) exhibited an independent association with all-cause mortality during follow-up in patients with AAV. Conclusions: cMDA at diagnosis may be a potential biomarker for predicting all-cause mortality during follow-up by reflecting comprehensive inflammation at diagnosis in patients with AAV.

Chemokine expression in sera of patients with microscopic polyangiitis and granulomatosis with polyangiitis.

We evaluated chemokine expression and its correlation with disease activity in patients with microscopic polyangiitis (MPA) and granulomatosis with polyangiitis (GPA) (MPA/GPA). Serum CCL2, CCL4, CCL19, CXCL1, CXCL2, and CX3CL1 level in 80 patients were analysed using multiple enzyme-linked immunosorbent assays. Correlations between variables were investigated using Pearson's correlation analysis, and receiver operator curve analysis was performed to identify optimal CX3CL1 values in determining active disease. Multivariate logistic regression analysis was done to evaluate predictors of active disease. CCL4 (r = 0.251, p = 0.025), CXCL1 (r = 0.270, p = 0.015), and CX3CL1 (r = 0.295, p = 0.008) significantly correlated with BVAS, while CX3CL1 was associated with five-factor score (r = - 0.290, p = 0.009). Correlations were revealed between CCL2 and CCL4 (r = 0.267, p = 0.017), CCL4 and CXCL1 (r = 0.368, p < 0.001), CCL4 and CXCL2 (r = 0.436, p < 0.001), and CXCL1 and CXCL2 (r = 0.518, p < 0.001). Multivariate analysis revealed serum CX3CL1 levels > 2408.92 pg/mL could predict active disease (odds ratio, 27.401, p < 0.001). Serum chemokine levels of CCL4, CXCL1, and CX3CL1 showed association with disease activity and especially, CX3CL1 > 2408.92 pg/mL showed potential in predicting active MPA/GPA.