In many cases, individuality in metabolism of a drug is a reliable predictor of the drug efficacy/safety. Modern high-throughput metabolomics is an ideal instrument to track drug metabolism in an individual after treatment. Productivity and low cost of the metabolomics are sufficient to analyse a large cohort of patients to explore individual variations in drug metabolism and to discover drug metabolic biomarkers indicative of drug efficacy/safety. The only potential disadvantage of metabolomics becoming a routine clinical procedure is a need to treat the patient once before making a prognosis. However, in many clinical applications this would not be a limitation. Here, we explore current opportunities and challenges for translating high-throughput metabolomics into the platform for personalized medicine.

Trifonova, O., Knight, R.a., Lisitsa, A., Melino, G., Antonov, A.v. (2016). Exploration of individuality in drug metabolism by high-throughput metabolomics: The fast line for personalized medicine. DRUG DISCOVERY TODAY, 21(1), 103-110 [10.1016/j.drudis.2015.07.011].

Exploration of individuality in drug metabolism by high-throughput metabolomics: The fast line for personalized medicine

Melino, Gennaro;
2016-01-01

Abstract

In many cases, individuality in metabolism of a drug is a reliable predictor of the drug efficacy/safety. Modern high-throughput metabolomics is an ideal instrument to track drug metabolism in an individual after treatment. Productivity and low cost of the metabolomics are sufficient to analyse a large cohort of patients to explore individual variations in drug metabolism and to discover drug metabolic biomarkers indicative of drug efficacy/safety. The only potential disadvantage of metabolomics becoming a routine clinical procedure is a need to treat the patient once before making a prognosis. However, in many clinical applications this would not be a limitation. Here, we explore current opportunities and challenges for translating high-throughput metabolomics into the platform for personalized medicine.
2016
Pubblicato
Rilevanza internazionale
Recensione
Esperti anonimi
Settore BIO/10 - BIOCHIMICA
English
Trifonova, O., Knight, R.a., Lisitsa, A., Melino, G., Antonov, A.v. (2016). Exploration of individuality in drug metabolism by high-throughput metabolomics: The fast line for personalized medicine. DRUG DISCOVERY TODAY, 21(1), 103-110 [10.1016/j.drudis.2015.07.011].
Trifonova, O; Knight, Ra; Lisitsa, A; Melino, G; Antonov, Av
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2108/239706
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