Association between methotrexate-induced Stevens-Johnson syndrome/toxic epidermal necrolysis and furosemide: a real-world disproportionality analysis.

BACKGROUND: Stevens-Johnson syndrome (SJS) and toxic epidermal necrolysis (TEN) are rare and life-threatening skin adverse reactions that are usually induced by drugs. This study aimed to assess the association between methotrexate and SJS/TEN when combined with furosemide. RESEARCH DESIGN AND METHODS: Data on suspicious, interactions (PS, SS, I) from the FDA Adverse Event Reporting System database for 2016-2021 were analyzed using the reporting odds ratio (ROR), information component (IC), proportional reporting ratio (PRR) and the Medications and Health Care Products Regulatory Agency (MHRA). RESULTS: We identified 28 case reports of TEN associated with the combination of furosemide and methotrexate and 10 reports of SJS associated with furosemide and methotrexate. The association of methotrexate with SJS/TEN was more significant in the entire data set when combined with furosemide than when methotrexate was not combined with furosemide. The association of methotrexate with SJS/TEN remained significant when furosemide was combined with methotrexate in a tumor-based disease context. After sensitivity analysis of the entire dataset as well as all antineoplastic drug datasets, consistent results were observed for TEN. CONCLUSIONS: Our study confirmed a significant association between methotrexate and SJS/TEN when combined with furosemide, with an increased risk of SJS/TEN.

[Anti-depressant components and mechanism of Rehmanniae Radix based on UPLC-Q-Orbitrap HRMS and network pharmacology].

This study aimed to explore the anti-depressant components of Rehmanniae Radix and its action mechanism based on network pharmacology combined with molecular docking. The main components of Rehmanniae Radix were identified by ultra-high performance liquid chromatography-quadrupole/Orbitrap high resolution mass spectrometry(UPLC-Q-Orbitrap HRMS), and the related targets were predicted using SwissTargetPrediction. Following the collection of depression-related targets from GeneCards, OMIM and TTD, a protein-protein interaction(PPI) network was constructed using STRING. GO and KEGG pathway enrichment analysis was performed by Metascape. Cytoscape 3.7.2 was used to construct the networks of "components-targets-disease" and "components-targets-pathways", based on which the key targets and their corresponding components were obtained and then preliminarily verified by molecular docking. Rehmanniae Radix contained 85 components including iridoids, ionones, and phenylethanoid glycosides. The results of network analysis showed that the main anti-depressant components of Rehmanniae Radix were catalpol, melittoside, genameside C, gardoside, 6-O-p-coumaroyl ajugol, genipin-1-gentiobioside, jiocarotenoside A1, neo-rehmannioside, rehmannioside C, jionoside C, jionoside D, verbascoside, rehmannioside, cistanoside F, and leucosceptoside A, corresponding to the following 16 core anti-depression targets: AKT1, ALB, IL6, APP, MAPK1, CXCL8, VEGFA, TNF, HSP90 AA1, SIRT1, CNR1, CTNNB1, OPRM1, DRD2, ESR1, and SLC6 A4. As revealed by molecular docking, hydrogen bonding and hydrophobicity might be the main action forms. The key anti-depression targets of Rehmanniae Radix were concentrated in 24 signaling pathways, including neuroactive ligand-receptor interaction, neurodegenerative disease-multiple diseases pathway, phosphatidylinositol 3-kinase/protein kinase B pathway, serotonergic synapse, and Alzheimer's disease.