ArticleNaunyn-Schmiedeberg's archives of pharmacology2026
Integration of FAERS database and network toxicology to investigate adverse drug events and potential toxicological mechanisms of triazole antifungal agents.
Article in Naunyn-Schmiedeberg's archives of pharmacology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This study aimed to systematically analyze the characteristics and potential toxicological mechanisms of adverse drug events (ADEs) associated with triazole antifungal agents by integrating the FDA Adverse Event Reporting System (FAERS) database with network toxicology. ADE reports for five triazole antifungals (fluconazole, itraconazole, voriconazole, posaconazole, isavuconazole) from Q1 2010 to Q2 2025 were retrieved from the FAERS database. Positive signals were identified using disproportionality analysis, including the reporting odds ratio (ROR) and proportional reporting ratio (PRR). Potential drug targets were predicted and cross-referenced with ADE-related targets from GeneCards to construct a protein-protein interaction network. Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway and Gene Ontology (GO) enrichment analyses identified key pathways, and molecular docking evaluated binding affinity with core targets. Analysis of 10,546 ADE reports identified voriconazole (40%) and fluconazole (28%) as the most reported drugs, with patients > 65 years comprising 38% of cases. Signal mining revealed that hepatic function abnormality, liver injury, cholestasis, hepatocellular injury, and QT interval prolongation were significant ADE signals common to all five triazoles. Itraconazole and posaconazole were associated with the strongest cholestasis signals, while posaconazole and voriconazole demonstrated prominent hepatocellular injury signals. Notably, signals for rash and erythema were observed only for fluconazole, whereas visual-disturbance signals were observed only for voriconazole in the present analysis. Network toxicology identified 137 potential targets enriched in drug metabolism-cytochrome P450, apoptosis, PI3K-Akt, MAPK, and TNF signaling pathways, with PIK3CA, TNF, RELA, BCL2, and AKT1 as core targets. Molecular docking suggested potential binding interactions, with itraconazole showing the lowest predicted binding energy with TNF (-9.4 kcal/mol). Integrated analysis of FAERS data and network toxicology suggests that triazole antifungals exhibit both common and unique adverse reaction patterns, with multi-system toxicity potentially involving core pathways such as PI3K-Akt, MAPK, and TNF signaling. These findings provide preliminary hypotheses for clinical safety monitoring and a foundation for future experimental investigation, rather than establishing causal mechanisms.
Indexed as
Identifiers
42649319What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.