Bioinformatics and Biology Insights · 2015 · 15 citations · 63 references
PharmacySystems BiologyToxicologyGene ExpressionInflammationTranscriptomicsCellular ToxicologyPulmonary ToxicologyRespiratory ToxicologyStress Signaling PathwaysSystems ToxicologyTranscriptomics Of Stress ResponsesAirway Epithelial FunctionAirway Epithelial ToxicityBiomarkers Of Inhalation InjuryIn Vivo StudiesTime-dependent Concentration-effect RelationshipsTime-dependent Effect ModelingTranscriptomics In ToxicologyTranscriptomics-based Toxicity Assessment
To establish a relevant in vitro model for systems toxicology-based mechanistic assessment of environmental stressors such as cigarette smoke (CS), we exposed human organotypic bronchial epithelial tissue cultures at the air liquid interface (ALI) to various CS doses. Previously, we compared in vitro gene expression changes with published human airway epithelia in vivo data to assess their similarities. Here, we present a follow-up evaluation of these in vitro transcriptomics data, using complementary computational approaches and an integrated mRNA-microRNA (miRNA) analysis. The main cellular pathways perturbed by CS exposure were related to stress responses (oxidative stress and xenobiotic metabolism), inflammation (inhibition of nuclear factor-κB and the interferon gamma-dependent pathway), and proliferation/differentiation. Within post-exposure periods up to 48 hours, a transient kinetic response was observed at lower CS doses, whereas higher doses resulted in more sustained responses. In conclusion, this systems toxicology approach has potential for product testing according to "21st Century Toxicology".
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