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Omics Integration in Understanding Xenobiotic Metabolism: Systems Biology Insights
Abstract
The chapter explores the transformative role of omics technologies in elucidating the complex pathways and mechanisms involved in xenobiotic metabolism. The chapter incorporates the metabolomics role in profiling xenobiotic-induced metabolic alterations, facilitating the identification of biomarkers, transcriptomic analyses uncovering dynamic gene expression patterns, and the application of high-throughput sequencing techniques to identify genetic variations influencing drug metabolism enzymes and transporters, thereby shaping individual responses to xenobiotics. Integration of these omics datasets through systems biology approaches enhances our understanding of xenobiotic metabolism as a complex network of molecular interactions and regulatory circuits. Emphasis is placed on cytochrome P450 enzymes, role of microbiome-derived metabolites, and their contribution to xenobiotic processing. The future of xenobiotic metabolism research lies in harnessing artificial intelligence (AI) and multi-omics integration to provide holistic insights into system-wide responses.
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