Multi-Omics Integration for Drug Therapy Optimization

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Original abstract

Precision therapeutics is a growing recognition of drug response as governed by complex layer-based biological systems and not just some lead idyllic model of single genetics. Multi-omics integration - including genomics, transcriptomics, proteomics, metabolomics, epigenomics and microbiomics - offers us a systems level framework for the optimization of pharmacotherapy. These complementary molecular layers trap inherited variation, dynamic gene expression, protein signaling cascades, metabolic changes, regulatory alterations and host-microbiome interplay that are seen to affect therapeutic efficacy and toxicity. Advances in high-throughput sequencing, bioinformatics, network pharmacology and artificial intelligence have ushered in a new wave in the translation of multi-omics data into actionable ascertainment of clinical data. For pharmacists, the integration of multi-omics is helpful when it comes to refined drug selection, model informed dosing, predictive safety surveillance and biomarkers for therapeutic stratification. However, successful execution needs computational infrastructure, interdisciplinary human work, regulation and ethical rules. This chapter focuses on the scientific basis, computational approaches and clinical implementation and translation challenges of drug therapy optimization using multi-omics. By bridging a gap between complexity at the molecular policeman with a treatment to decision-making, multi-omics integration builds a transformation base for the future-ready precision pharmacy practice.

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