Pathway analysis for identification of potential biomarkers in severe cutaneous drug hypersensitivity reactions

Purpose: To construct a cluster model or a gene signature for Stevens-Johnson syndrome (SJS) using pathways analysis in order to identify some potential biomarkers that may be used for early detection of SJS and epidermal necrolysis (TEN) manifestations. Methods: Gene expression profiles of GSE12829 were downloaded from Gene Expression Omnibus database. A total of 193 differentially expressed genes (DEGs) were obtained. We applied these genes to geneMANIA database, to remove ambiguous and duplicated genes, and after that, characterized the gene expression profiles using geneMANIA, DAVID, REACTOME, STRING and GENECODIS which are online software and databases. Results: Out of 193 genes, only 91 were used (after removing the ambiguous and duplicated genes) for topological analysis. It was found by geneMANIA database search that majority of these genes were coexpressed yielding 84.63 % co-expression. It was found that ten genes were in Physical interactions comprising almost 14.33 %. There were < 1 % pathway and genetic interactions with values of 0.97 and 0.06 %, respectively. Final analyses revealed that there are two clusters of gene interactions and 13 genes were shown to be in evident relationship of interaction with regards to hypersensitivity. Conclusion: Analysis of differential gene expressions by topological and database approaches in the current study reveals 2 gene network clusters. These genes are CD3G, CD3E, CD3D, TK1, TOP2A, CDK1, CDKN3, CCNB1, and CCNF. There are 9 key protein interactions in hypersensitivity reactions and may serve as biomarkers for SJS and TEN. Pathways related gene clusters has been identified and a genetic model to predict SJS and TEN early incidence using these biomarker genes has been developed.

Pharmacists’ knowledge and perception of topical antibacterial drug dispensing in community pharmacy setting in Kedah, Malaysia

Purpose: To assess Pharmacists’ Perceptions and Experiences of Topical Antibacterial Drug Dispensing in Community Pharmacy Setting in Kedah State, Malaysia in order to minimize drug resistance issues. Methods: A cross-sectional study involving a pre-validated questionnaire was conducted in community pharmacies within Kedah State, Malaysia. Descriptive statistics and Spearman’s correlation coefficient were used for data analysis. The collected were analysed using statistical package for social sciences (SPSS) version 18.0. Results: The result shows that, 53.4 % of CPs in Kedah State perceived that topical antibacterial is not necessary for every topical bacterial infection. Fusidic acid was the most frequently dispensed topical antibacterial drug while superficial wound was reported to be the most frequently encountered topical bacterial infection. CPs (12.60 %) encountered antibacterial resistance cases but none reported them. The drug that had resistance issue was neomycin. Conclusion: CPs in Kedah State, Malaysia generally have the right perceptions on the dispensing of topical antibacterial drugs. However, their knowledge on the rational use of topical antibacterial drugs and vigilance on antibacterial resistance issue need improvement.