4.4 Article

Pharmacometabolomics applied to zonisamide pharmacokinetic parameter prediction

期刊

METABOLOMICS
卷 14, 期 5, 页码 -

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SPRINGER
DOI: 10.1007/s11306-018-1365-5

关键词

Zonisamide metabolomics; Personalized medicine; High dimensional data; Penalized regression

资金

  1. Laboratorios Normon, Ronda de Valdecarrizo, Tres Cantos, Madrid, SPAIN
  2. Ministerio de Economia y Competitividad within the INNPACTO program [IPT-2012-0576-090000]
  3. European Regional Development Fund (ERDF)

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Introduction Zonisamide is a new-generation anticonvulsant antiepileptic drug metabolized primarily in the liver, with subsequent elimination via the renal route. Objectives Our objective was to evaluate the utility of pharmacometabolomics in the detection of zonisamide metabolites that could be related to its disposition and therefore, to its efficacy and toxicity. Methods This study was nested to a bioequivalence clinical trial with 28 healthy volunteers. Each participant received a single dose of zonisamide on two separate occasions (period 1 and period 2), with a washout period between them. Blood samples of zonisamide were obtained from all patients at baseline for each period, before volunteers were administered any medication, for metabolomics analysis. Results After a Lasso regression was applied, age, height, branched-chain amino acids, steroids, triacylglycerols, diacyl glycerophosphoethanolamine, glycerophospholipids susceptible to methylation, phosphatidylcholines with 20:4 FA (arachidonic acid) and cholesterol ester and lysophosphatidylcholine were obtained in both periods. Conclusion To our knowledge, this is the only research study to date that has attempted to link basal metabolomic status with pharmacokinetic parameters of zonisamide.

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