期刊
JOURNAL OF VETERINARY PHARMACOLOGY AND THERAPEUTICS
卷 44, 期 6, 页码 855-869出版社
WILEY
DOI: 10.1111/jvp.12961
关键词
biomarkers; machine learning; metabolomics; pharmacometabonomics; veterinary medicine
资金
- Intramural Funds from the Department of Veterinary Sciences, College of Veterinary Medicine, Washington State University
Metabolomics is a large-scale study of low-molecular-weight substances in a biological system, which can help predict individual differences in drug response, guide clinical decision-making, and understand the pharmacokinetics and pharmacodynamics of drugs. Despite its potential applications in veterinary pharmacology, the incorporation of metabolomics is not yet widespread, partly due to its highly multidisciplinary nature.
Metabolomics is the large-scale study of low-molecular-weight substances in a biological system in a given physiological state at a given time point. Metabolomics can be applied to identify predictors of inter-individual variability in drug response, provide clinicians with data useful for decision-making processes in drug selection, and inform about the pharmacokinetics and pharmacodynamics of a drug. It is, therefore, an exceptional approach for gaining new understanding effects in the field of comparative veterinary pharmacology. However, the incorporation of metabolomics into veterinary pharmacology and toxicology is not yet widespread, and this is probably, at least in part, a result of its highly multidisciplinary nature. This article reviews the potential applications of metabolomics in veterinary pharmacology and therapeutics. It integrates key concepts for designing metabolomics studies and analyzing and interpreting metabolomics data, providing solid foundations for applying metabolomics to the study of drugs in all veterinary species.
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