Pharmacometabolomics is used to evaluate and predict drug efficacy or toxicity by comparing the metabolic phenotype and drug-reactionphenotype of individuals before and after drug administration.
Pharmacometabolomics is used to evaluate and predict drug efficacy or toxicity by comparing the metabolic phenotype and drug-reactionphenotype of individuals before and after drug administration.

Individual differences often influence the in vivo behavior of drugs and therefore can affect the in vivo level of the drug, making it ineffective or producing toxic side effects. The relationship between drugs and the organism is one of interaction and mutual influence. The drug acts on the body to produce the corresponding pharmacological and pharmacodynamic response. The body acts on the drug and affects the absorption, distribution, metabolism and excretion processes in the body. Due to the differences in baseline levels of endogenous components and biochemical status of the body, there are great inter-individual differences in the in vivo metabolism and disposition of endogenous drugs in different individuals.
Pharmacometabolomics uses metabolomics as a platform to predict drug response phenotypes after drug administration by metabolic phenotyping of biological samples prior to drug administration. The information contained in the metabolites of individual biological samples prior to drug administration is used to predict individual differences in metabolism and toxic response to drugs. Pharmacometabolomics provides a comprehensive picture of the biochemical status and functional reserve/stress potential of an individual/biological system, and information on the organism's responsiveness to drugs and the drug disposition process is obtained from the basal metabolic profile.
Creative Proteomics provides pharmacometabolomics solutions that leverage metabolomics technologies to help enable research ranging from screening and identification of disease/efficacy/toxicity biomarkers to advancement in predicting the body's response to drugs.
The research process of drug metabolomics can be broadly summarized into 3 parts: pre-drug metabolomic analysis, post-drug pharmacological analysis and statistical modeling analysis.
The general process of pre-drug metabolomic analysis includes: sample collection, sample pre-treatment, metabolite detection, data pre-processing, multivariate statistical analysis, metabolite screening and identification, and biological interpretation.

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