Autor: |
Schmidt JC; 466810Sovaris Aerospace, Boulder, CO, USA., Dougherty BV; Department of Biomedical Engineering, 2358University of Virginia, Charlottesville, VA, USA., Beger RD; Division of Systems Biology, 4136National Center for Toxicological Research, US Food and Drug Administration, Jefferson, AR, USA., Jones DP; Clinical Biomarkers Laboratory, Division of Pulmonary, Allergy, and Critical Care Medicine, 1371Emory University School of Medicine, Atlanta, GA, USA., Schmidt MA; 466810Sovaris Aerospace, Boulder, CO, USA.; Advanced Pattern Analysis & Countermeasures Group, Boulder, CO, USA., Mattes WB; Division of Systems Biology, 4136National Center for Toxicological Research, US Food and Drug Administration, Jefferson, AR, USA. |
Abstrakt: |
Metabolomics is unique among omics technologies in being applicable to metabolism and toxicity studies broadly across organisms (e.g., humans, other mammals, model organisms, and even bacteria) and across biological materials (e.g., blood, urine, saliva, biopsy, and stool), including cultured cells and subcellular fractions. Metabolomics can be used to characterize biologic response patterns in humans as well as to support mechanistic studies in model systems and ex vivo studies. A broad range of resources are available, including publicly accessible data repositories (e.g., Metabolomics Workbench), tools for biostatistics and bioinformatics (e.g., MetaboAnalyst), metabolite identification (e.g., Metlin), and pathway analysis (e.g., Kyoto Encyclopedia of Genes and Genomes). Thus, metabolomics is more than a promise of the future; metabolomics is already available as a translational approach to facilitate precision medicine. This ACT Symposium review will contain an introduction to metabolomics in toxicity studies followed by sections on translational metabolic networks, translational metabolite biomarkers of acetaminophen-induced acute liver injury, translational framework using high-resolution metabolomics for integrated pharmacokinetics and pharmacodynamics, and precision medicine applications: extracting actionable targets from untargeted metabolomics data following one year in space. |