Diagnostic serum biomarkers associated with ankylosing spondylitis.

Ankylosing spondylitis (AS) is an autoimmune rheumatic disease that mostly affects the axial skeleton. This study aimed to investigate reliable diagnostic serum biomarkers for AS. Serum samples were collected from 20 AS patients and 20 healthy controls (HCs) and analyzed using ultra-performance liquid chromatography-tandem mass spectrometry (UPLC-MS/MS). The differential metabolites between the AS patients and HCs were profiled using univariate and multivariate statistical analyses. Pathway analysis and a heat map were also conducted. Random forest (RF) analysis and the least absolute shrinkage and selection operator (LASSO) were used to establish predictive and diagnostic models. After controlling the variable importance in the projection (VIP) value > 1 and false discovery rate (FDR) < 0.05, a total of 61 differential metabolites were identified from 995 metabolites, which exhibited significant differences in the pathway analysis and heat map between the AS patients and HCs. RF as a predictive model also identified differential metabolites with 95% predictive accuracy and a high area under the curve (AUC) of 1. A diagnostic model comprising nine metabolites (cysteinylglycine disulfide, choline, N6, N6, N6-trimethyllysine, histidine, sphingosine, fibrinopeptide A, glycerol 3-phosphate, 1-linoleoyl-GPA (18:2), and fibrinopeptide A (3-16)) was generated using LASSO regression, capable of distinguishing HCs from AS with a high AUC of 1. Our results indicated that the UPLC-MS/MS analysis method is a powerful tool for identifying AS metabolite profiles. We developed a nine-metabolites-based model serving as a diagnostic tool to separate AS patients from HCs, and the identified diagnostic biomarkers appeared to have a diagnostic value for AS.

Cytokines and chemokines involved in HLA-B27-positive ankylosing spondylitis-associated acute anterior uveitis.

Purpose: Acute anterior uveitis (AAU) is the most common extra-articular symptom of ankylosing spondylitis (AS). This study aims to reveal the cytokines and chemokines involved in the immunopathogenesis of human leucocyte antigen (HLA)-B27+ AS-associated AAU. Methods: Twenty-one HLA-B27+ AS-associated AAU patients and 21 healthy controls (HCs) were recruited for this study. Serum cytokine concentrations in all 42 subjects were determined by the Meso Scale Discovery (MSD) electrochemiluminescence method. In each sample, 34 cytokines, 10 chemokines, eight angiogenesis mediators, and four vascular injury mediators were measured. The differences in cytokine and chemokine concentrations were compared between the two groups. Results: Concentrations of serum IL-3, TNF-α, IL-6, IL-17D, IL-22, IP10/CXCL10, MIP-3α/CCL20, sFlt-1/VEGFR-1, CRP, and MCP-4/CCL13 were significantly higher in patients with HL-B27+ AS-associated AAU than in HCs (p < 0.05). In contrast, concentrations of serum IL-4, IL-8, MIP-1α/CCL3, Eotaxin-3/CCL26, PlGF, VEGF-C, and VEGF-D were significantly lower in patients with HL-B27+ AS-associated AAU than in HCs (p < 0.05). Conclusions: Significant differences were detected in the levels of several cytokines and chemokines in the serum of HLA-B27+ AS-associated AAU compared with HCs. Some novel differential cytokines and chemokines that have not been reported in other kinds of uveitis were also identified. These results reveal the underlying pathogenesis of HLA-B27+ AS-associated AAU and could potentially aid in clinical diagnosis.

Glycerophospholipid metabolism is involved in rheumatoid arthritis pathogenesis by regulating the IL-6/JAK signaling pathway.

To explore the metabolic mechanism of differential plasma interleukin (IL)-6 expression in patients with rheumatoid arthritis (RA). A total of 240 RA patients were enrolled in the non-target metabolomics study cohort and 69 healthy volunteers were included as healthy controls (HCs). Plasma IL-6 levels were detected by electrochemiluminescence assay. Plasma metabolites were detected by ultra-high-performance liquid chromatography-quadrupole time-of-flight mass spectrometry. Patients with active RA (n = 20) and remissive RA (n = 20) and 20 HCs were enrolled in the targeted validation cohort. Metabolites identified by non-target metabolomics were quantitatively analyzed by ultra-performance liquid chromatography-triple quadrupole tandem mass spectrometry. Effects of 1-oleoyl-sn-glycero-3-phosphocholine (OGPC) associated with IL-6 on MH7A cells were assessed. After 24-h or 48-h induction by TNF-α, the supernatants were collected for IL-6 quantification by enzyme-linked immunosorbent assay. Furthermore, Western blot was performed to investigate the relative JAK2 and p-JAK2 expressions. With an increasing IL-6 level, OGPC shown to be related to the glycerophospholipid metabolism pathway by Kyoto Encyclopedia of Genes and Genomes analysis displayed a significant decrease. In the validating RA cohort, the OGPC concentrations in remissive RA group and active RA group decreased compared with HC group. OGPC down-regulated IL-6 secretion and p-JAK2 expression in TNF-α-induced MH7A cells in vitro. In conclusion, glycerophospholipid metabolism is the main metabolic pathway associated with the differential IL-6 expression in RA patients. The down-regulated OGPC is a promoting factor for the increased IL-6 plasma level in RA patients, which further affects the downstream JAK signaling pathway.