by Yinli Shi, Shuang Guan, Sicun Wang, Muzhi Li, Yanan Yu, Jun Liu, Weibin Yang, Zhong Wang
BackgroundAlthough filgotinib, a selective Janus kinase 1 inhibitor, has been increasingly applied in the treatment of inflammatory diseases, its comprehensive safety profile remains insufficiently characterized. Using data from the FAERS database covering Q1 2014 to Q2 2024, this study attempts to analyze adverse event signals linked to filgotinib and provide guidance for the safe and sensible clinical usage of filgotinib.
MethodsFrom Q1 2014 to Q2 2024, information on adverse drug events (ADEs) associated with filgotinib was gathered. The reporting odds ratio (ROR), proportional reporting ratio (PRR), Bayesian confidence propagation neural network (BCPNN), and multi-item gamma Poisson shrinker (MGPS) were among the signal detection methods that were employed for analysis following data normalization.
ResultsFilgotinib was shown to be the main suspected medication in ADE reports, exposing 103 preferred terms (PTs) in 17 system organ classes (SOCs). Infections, gastrointestinal disorders, and musculoskeletal and connective tissue disorders were the most commonly reported adverse effects. Additionally, atrial fibrillation, alopecia, elevated serum creatinine, blood creatinine increased, pulmonary embolism, epididymitis, respiratory failure, and osteopenia were identified as potential disproportionate reporting signals for filgotinib, although these were not listed in the official drug label. Notable significant signals included large intestine erosion (ROR 2186.05, 95%CI(ROR): 1015.94–4703.86, PRR 2176.18, 95%CI(PRR): 1014.64–4667.42), mesenteric arterial occlusion (ROR 1832.17, 95%CI(ROR): 897.68–3739.48, PRR 1822.71, 95%CI(PRR): 896.17–3707.20), repetitive strain injury (ROR 1149.27, 95%CI(ROR): 363.16–3637.01, PRR 1147.05, 95%CI(PRR): 363.24–3622.15), oligoarthritis (ROR 755.02, 95%CI(ROR): 310.74–1834.54, PRR 752.59, 95%CI(PRR): 310.60–1823.51), and periostitis (ROR 676.03, 95%CI(ROR): 319.36–1431.06, PRR 672.98, 95%CI(PRR): 318.97–1419.87). The subgroup analysis identified obvious sex and age-specific trends in filgotinib-related adverse reactions, emphasizing a higher risk of renal disorders in females, a preponderance of gastrointestinal events in males, and age-dependent trends involving mesenteric occlusion, increased serum creatinine, and immunoglobulin reduction.
ConclusionWhile filgotinib demonstrates therapeutic efficacy, it is associated with a range of potential adverse events, underscoring the need for vigilant clinical monitoring. Particular attention should be given to gastrointestinal, cardiovascular, respiratory, and metabolic complications.
by Zhizhong Wang, Sen Xu, Ailong Lin, Chunxian Wei, Zhiyong Li, Yingchun Chen, Bizhou Bie, Ling Liu
Vascular dementia (VaD), a neurodegenerative disease driven by vascular pathology, requires multi-targeted therapeutic strategies. This study employs an integrated in silico approach to evaluate the neuroprotective potential of natural ligands against key proteins implicated in VaD pathogenesis. Using molecular docking and normal mode analysis (NMA), four natural compounds (Galangin, Resveratrol, Curcumin, and Licocumarone) were assessed for their binding affinity and structural influence on six target proteins: APLP1, APOE, CLDN5, SOD1, MMP9, and MTHFR. Docking analysis revealed that galangin exhibited the highest binding affinity to APLP1 (−8.5 kcal/mol), resveratrol to MTHFR (−8.1 kcal/mol), and curcumin showed dual efficacy toward APOE (−7.2 kcal/mol) and MMP9 (−8.0 kcal/mol). Licocumarone demonstrated notable stabilization of CLDN5 and SOD1. The NMA results indicated ligand-induced stabilization of protein cores and enhanced flexibility in loop regions, which may impact amyloid aggregation, oxidative stress, and blood-brain barrier integrity. Pathway enrichment using the KEGG and Reactome databases identified significant involvement of the IL-17 and TNF signaling pathways, along with leukocyte transendothelial migration, linking inflammation with vascular dysfunction. APOE emerged as a central node within the protein-protein interaction network, highlighting its regulatory importance. This study highlights the therapeutic relevance of natural ligands as cost-effective modulators of multiple VaD-associated pathways. The combined use of molecular docking, protein dynamics, and enrichment analyses provides a comprehensive computational framework for early-stage drug discovery. These findings warrant further experimental validation to advance the development of targeted, mechanism-driven interventions for vascular dementia.