Gas chromatography mass spectrometry based pharmacometabolomic assessment of formulation-dependent metabolic responses of levetiracetam

IF 3.6
Journal of chromatography open Pub Date : 2026-05-01 Epub Date: 2026-02-17 DOI:10.1016/j.jcoa.2026.100315
Özge Cansın Zeki , Fatma Ilgaz , Cemil Can Eylem , Selin Seda Timur , Hakan Eroğlu , Hülya Gökmen-Özel , Emirhan Nemutlu
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Abstract

This study applied a GC–MS–based pharmacometabolomic approach to investigate formulation-dependent bioavailability and systemic metabolic responses following levetiracetam administration. Plasma samples from rabbits were analyzed after receiving three different formulations: a control formulation in which levetiracetam was mixed with deionized water, a Multithick formulation prepared with an 8% modified maize starch thickener, and a Thicken-Up Clear (TUC) formulation prepared with 3.6% xanthan gum thickener. Although dissolution profiles varied substantially among these formulations, likewise, total levetiracetam exposure, represented by AUC, did not differ significantly among groups (p < 0.05). Untargeted GC–MS analysis was annotated 97 metabolites and multivariate analysis revealed distinct metabolic clustering, with the TUC group showing the most pronounced separation. Correlation analysis identified five metabolites that were positively associated with pharmacokinetic parameters: pyrophosphate, glyceric acid, aconitic acid, methyl-2-butenedioic acid, and itaconic acid. Six amino acid–related metabolites showed negative associations, reflecting enhanced energy metabolism together with reduced excitatory neurotransmission, consistent with the known neuroprotective and antiepileptic actions of levetiracetam. Overall, these results demonstrate that formulation design influences not only dissolution behavior but also systemic metabolic responses. Pharmacometabolomics offers a quantitative framework for integrating chromatographic, pharmacokinetic and biochemical data to support rational formulation development and precision pharmacotherapy.

Abstract Image

基于气相色谱-质谱的左乙拉西坦处方依赖性代谢反应的药物代谢组学评估
本研究采用了基于gc - ms的药物代谢组学方法来研究左乙拉西坦给药后的处方依赖性生物利用度和全身代谢反应。兔血浆样品在接受三种不同配方后进行分析:左乙乙坦与去离子水混合的对照配方,8%改性玉米淀粉增稠剂配制的多稠配方,以及3.6%黄原胶增稠剂配制的增稠清(TUC)配方。尽管这些制剂的溶出度分布差异很大,但同样,以AUC表示的总左乙拉西坦暴露量在各组之间没有显著差异(p < 0.05)。非靶向GC-MS分析注释了97种代谢物,多变量分析显示明显的代谢聚类,其中TUC组的分离最明显。相关分析发现5种代谢物与药代动力学参数呈正相关:焦磷酸盐、甘油、乌头酸、甲基-2-丁烯二酸和衣康酸。6种氨基酸相关代谢物呈负相关,反映了能量代谢增强和兴奋性神经传递减少,与左乙莱西坦已知的神经保护和抗癫痫作用一致。总之,这些结果表明,配方设计不仅影响溶出行为,而且影响全身代谢反应。药物代谢组学为整合色谱、药代动力学和生化数据提供了一个定量框架,以支持合理的处方开发和精确的药物治疗。
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来源期刊
Journal of chromatography open
Journal of chromatography open Analytical Chemistry
CiteScore
2.50
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0.00%
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审稿时长
50 days
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