Drug repositioning prediction for psoriasis using the adverse event reporting database

Frontiers in Medicine

Medicine

Minoh Ko¹  Jung Mi Oh²  In-Wha Kim³ 

[1] College of Pharmacy, Seoul National University, Seoul, Republic of Korea;College of Pharmacy, Seoul National University, Seoul, Republic of Korea;Research Institute of Pharmaceutical Sciences, Seoul National University, Seoul, Republic of Korea;Research Institute of Pharmaceutical Sciences, Seoul National University, Seoul, Republic of Korea;

关键词: drug repositioning;    adverse events;    disproportionality;    signals;    psoriasis;   

DOI  :  10.3389/fmed.2023.1159453

 received in 2023-02-06, accepted in 2023-02-28,  发布年份 2023

来源: Frontiers

【 摘 要 】

IntroductionInverse signals produced from disproportional analyses using spontaneous drug adverse event reports can be used for drug repositioning purposes. The purpose of this study is to predict drug candidates using a computational method that integrates reported drug adverse event data, disease-specific gene expression profiles, and drug-induced gene expression profiles.MethodsDrug and adverse events from 2015 through 2020 were downloaded from the United States Food and Drug Administration Adverse Event Reporting System (FAERS). The reporting odds ratio (ROR), information component (IC) and empirical Bayes geometric mean (EBGM) were used to calculate the inverse signals. Psoriasis was selected as the target disease. Disease specific gene expression profiles were obtained by the meta-analysis of the Gene Expression Omnibus (GEO). The reverse gene expression scores were calculated using the Library of Integrated Network-based Cellular Signatures (LINCS) and their correlations with the inverse signals were obtained.ResultsReversal genes and the candidate compounds were identified. Additionally, these correlations were validated using the relationship between the reverse gene expression scores and the half-maximal inhibitory concentration (IC50) values from the Chemical European Molecular Biology Laboratory (ChEMBL).ConclusionInverse signals produced from a disproportional analysis can be used for drug repositioning and to predict drug candidates against psoriasis.

【 授权许可】

Unknown   
Copyright © 2023 Ko, Oh and Kim.