
Metabolomics, the comprehensive analysis of metabolites in a biological system, provides detailed information about the biochemical/physiological status of a biological system, and about the changes caused by chemicals. Metabolomics analysis is used in many fields, ranging from the analysis of the physiological status of genetically modified organisms in safety science to the evaluation of human health conditions. In toxicology, metabolomics is the -omics discipline that is most closely related to classical knowledge of disturbed biochemical pathways. It allows rapid identification of the potential targets of a hazardous compound. It can give information on target organs and often can help to improve our understanding regarding the mode-of-action of a given compound. Such insights aid the discovery of biomarkers that either indicate pathophysiological conditions or help the monitoring of the efficacy of drug therapies. The first toxicological applications of metabolomics were for mechanistic research, but different ways to use the technology in a regulatory context are being explored. Ideally, further progress in that direction will position the metabolomics approach to address the challenges of toxicology of the 21st century. To address these issues, scientists from academia, industry, and regulatory bodies came together in a workshop to discuss the current status of applied metabolomics and its potential in the safety assessment of compounds. We report here on the conclusions of three working groups addressing questions regarding 1) metabolomics for in vitro studies 2) the appropriate use of metabolomics in systems toxicology, and 3) use of metabolomics in a regulatory context.
[SDE] Environmental Sciences, 570, regulatory toxicology, TOXICOLOGY, BIOMARKERS, Research & Experimental Medicine, METABOLISM, Toxicology, METABOLOMICS, Models, Biological, CELL-CULTURE PRACTICE, PRECLINICAL RESEARCH, Models, FOOD, Predictive Value of Tests, 615, 07 Agricultural and Veterinary Sciences, Toxicity Tests, Animals, Humans, Metabolomics, preclinical research, 11 Medical and Health Sciences, Science & Technology, Research & Experimental, SYSTEMS TOXICOLOGY, 500, REGULATORY TOXICOLOGY, Reproducibility of Results, IN-VITRO, THOUGHT, Biological, metabolomics, DEVELOPMENTAL TOXICITY, [SDV.TOX] Life Sciences [q-bio]/Toxicology, Medicine, Research & Experimental, [SDV.TOX]Life Sciences [q-bio]/Toxicology, [SDE]Environmental Sciences, MODEL SYSTEM, Medicine, Life Sciences & Biomedicine, toxicology, TASK-FORCE
[SDE] Environmental Sciences, 570, regulatory toxicology, TOXICOLOGY, BIOMARKERS, Research & Experimental Medicine, METABOLISM, Toxicology, METABOLOMICS, Models, Biological, CELL-CULTURE PRACTICE, PRECLINICAL RESEARCH, Models, FOOD, Predictive Value of Tests, 615, 07 Agricultural and Veterinary Sciences, Toxicity Tests, Animals, Humans, Metabolomics, preclinical research, 11 Medical and Health Sciences, Science & Technology, Research & Experimental, SYSTEMS TOXICOLOGY, 500, REGULATORY TOXICOLOGY, Reproducibility of Results, IN-VITRO, THOUGHT, Biological, metabolomics, DEVELOPMENTAL TOXICITY, [SDV.TOX] Life Sciences [q-bio]/Toxicology, Medicine, Research & Experimental, [SDV.TOX]Life Sciences [q-bio]/Toxicology, [SDE]Environmental Sciences, MODEL SYSTEM, Medicine, Life Sciences & Biomedicine, toxicology, TASK-FORCE
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 188 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 1% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 1% |
