Literature DB >> 30830352

Pharmacometabolomics applied to zonisamide pharmacokinetic parameter prediction.

J C Martínez-Ávila1, A García Bartolomé2, I García2, I Dapía3, Hoi Y Tong2, L Díaz2, P Guerra2, J Frías2, A J Carcás Sansuan4, A M Borobia2.   

Abstract

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.

Entities:  

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

Mesh:

Substances:

Year:  2018        PMID: 30830352     DOI: 10.1007/s11306-018-1365-5

Source DB:  PubMed          Journal:  Metabolomics        ISSN: 1573-3882            Impact factor:   4.290


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