https://www.selleckchem.com/btk.html 5 g/L (p = 0.0286), splenomegaly (p = 0.0002), and liver dysfunction (p = 0.0008) highly suggested poor prognosis. CONCLUSION MAS occurrence is the major cause of death in AOSD patients. Notable liver dysfunction, as well as splenomegaly, low number of platelets or neutrophils, high levels of serum ferritin, and reduced level of fibrinogen are risk factors for poor outcome.Key Points• This is a multicenter retrospective study of AOSD-associated MAS with large number of cases.BACKGROUND Ankylosing spondylitis (AS) is a common chronic inflammatory arthritis, causing lasting back pain with progressive loss of spinal mobility. However, the exact pathogenesis of AS remains unclear. We aim to use the metabolomics analysis to characterize the metabolic profile of AS, in order to better understand the pathogenesis of AS and monitor disease activity and progression. METHODS The ultra-high performance liquid chromatography-triple quadrupole mass spectrometry (UPLC-TQ-MS) was used for investigating the serum amino acid metabolomic profiling of 30 AS patients, in comparison with 32 rheumatoid arthritis (RA) patients and 30 healthy controls, combined with multivariate statistical analysis. Metabolite association analysis with disease activity was performed using generalized linear regression. The metabolic pathway analysis for the important metabolites was performed using MetPA and the metabolic network was constructed. RESULTS A total of 29 amino acids and biogenic amines were detected in aled by UPLC-TQ-MS.• Metabolomics pathway is used to analysis for the differential metabolites of AS.• The altered serum amino acid could monitor disease activity of AS.To evaluate the impact of an iterative reconstruction (IR) algorithm (advanced modeled iterative reconstruction, ADMIRE) on machine learning-based coronary computed tomography angiography-derived fractional flow reserve (CT-FFRML) measurements compared with filtered back projection (FBP). 17