药物代谢组学服务s

药物代谢组学用于通过比较药物给药前后个体的代谢表型和药物反应型来评估和预测药物疗效或毒性。

• Analysis of drug metabolites
• Screening and identification of biomarkers
• Analysis of metabolic pathways
• 预测药物代谢，功效和毒性反应的个体差异

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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.

药物代谢组学使用代谢组学作为平台来预测药物给药后通过药物给药的代谢表型来预测药物反应表型。在药物给药之前，在单个生物样品的代谢物中包含的信息用于预测代谢和毒性反应的个体差异。药物代谢组学提供了个人/生物系统的生化储备和功能储备/应力潜力的全面图景，并提供了有关生物体对药物反应的信息，并从基础代谢谱中获得了药物处置过程。

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.

药物代谢组学服务的应用

• Drug toxicity analysis: The response caused by a drug to an individual can be predicted by the metabolite phenotype prior to administration. The use of drug metabolomics can provide data to support the selection of clinical drug classes and dose determination to minimize or avoid toxic side effects of drugs.
• 药效分析：药物疗效分析之前和之后的代谢表型和代谢产物的分析。
• Pharmacokinetic property analysis: Prediction of pharmacokinetic parameters and identification of endogenous metabolic markers characterizing the metabolic enzymatic activity of drugs.

Drug Metabolism Analysis Technology Platform

药物代谢组学的研究过程可以大致概括为3个部分：药物前代谢组分析，药物后药理分析和统计模型分析。

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.

• 剂量药理研究可以广泛分为毒理学分析，药代动力学分析，药效学分析等。
• 统计建模分析:筛选潜力biomarkers from massive baseline metabolic profile data that can predict differences in drug behaviourin vivoafter drug administration, and deeply mining their biochemical significance through corresponding biological network science analysis to guide clinical individualized drug use.

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