Pharmaco-Metabolomics: Drug Effects on Metabolites

The development and advancements in technology, artificial intelligence, and fields of bioinformatics, enabled the use of enormous data coming from genes, transcripts, and proteins processed by the omics in medicine as biomarkers. Scientists are improving different methods, such as stemcell therapies, applications of regenerative medicine, and enhanced drug interactions in personalized medicine, using omics technologies in a broad scope of biology. Thus, the omics can discern functions of individual genes, proteins, and metabolites; to evaluate drug effects of drugs made or derived from such substances; and analyze differences in cellular pathways that occur from these drugs. The combined use of omics with system biology in regenerative medicine research, and pharmacology fields increases the information regarding concealed molecular mechanisms of diseases, their potential therapies, and personalized applications of stem-cell applications. Improved characterization of living systems along with a detailed evaluation of clinical and pharmacological data are required aspects for the further development of studies containing multiple omics methodologies. The application of data mining on the present data from the literature would enable to obtain experimental evidence in a cost-effective manner by reducing the prior experimental research. Metabolomics pharmacology serves to attain personalization in medicinal treatments to preserve health and prevent diseases. Different branches of omics, such as metabolomics, transcriptomics, proteomics, and toxicogenomics, would lead to improved and easier use of pharmacometabolites in treatment protocols.