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• W3034128129 abstract "Abstract Drug-induced Mood- and Cognition-related adverse events (MCAEs) are often only detected during the clinical trial phases of drug development, or even after marketing, thus posing a major safety concern and a challenge for both pharmaceutical companies and clinicians. To fill some gaps in the understanding and elucidate potential biological mechanisms of action frequently associated with MCAEs, we present a unique workflow linking observational population data with the available knowledge at molecular, cellular, and psychopharmacology levels. It is based on statistical analysis of pharmacovigilance reports and subsequent signaling pathway analyses, followed by evidence-based expert manual curation of the outcomes. Our analysis: (a) ranked pharmaceuticals with high occurrence of such adverse events (AEs), based on disproportionality analysis of the FDA Adverse Event Reporting System (FAERS) database, and (b) identified 120 associated genes and common pathway nodes possibly underlying MCAEs. Nearly two-thirds of the identified genes were related to immune modulation, which supports the critical involvement of immune cells and their responses in the regulation of the central nervous system function. This finding also means that pharmaceuticals with a negligible central nervous system exposure may induce MCAEs through dysregulation of the peripheral immune system. Knowledge gained through this workflow unravels putative hallmark biological targets and mediators of drug-induced mood and cognitive disorders that need to be further assessed and validated in experimental models. Thereafter, they can be used to substantially improve in silico/in vitro/in vivo tools for predicting these adversities at a preclinical stage." @default.
• W3034128129 created "2020-06-12" @default.
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• W3034128129 date "2020-06-05" @default.
• W3034128129 modified "2023-10-11" @default.
• W3034128129 title "Molecular basis of mood and cognitive adverse events elucidated via a combination of pharmacovigilance data mining and functional enrichment analysis" @default.
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• W3034128129 doi "https://doi.org/10.1007/s00204-020-02788-1" @default.
• W3034128129 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/7395038" @default.
• W3034128129 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/32504122" @default.
• W3034128129 hasPublicationYear "2020" @default.
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