# Unveiling the influence of caffeine on topiramate: metabolomic marker analysis using liquid chromatography-mass spectrometry

## TL;DR

This study explores how caffeine affects the antiepileptic drug topiramate in zebrafish, revealing changes in lipid metabolism that could inform epilepsy treatment.

## Contribution

The study introduces a metabolomic analysis of caffeine and topiramate interactions in a zebrafish epilepsy model.

## Key findings

- Lipid dysregulation was observed in epileptic zebrafish larvae with elevated Lyso-PC, Lyso-PE, and Lyso-PAF levels.
- Topiramate worsened lipid abnormalities, while caffeine showed a stabilizing effect.
- The study suggests metabolomic approaches can identify new epilepsy biomarkers and therapeutic strategies.

## Abstract

Epilepsy affects approximately 70 million individuals globally, posing significant neurobiological and psychological challenges. Despite the availability of numerous antiepileptic treatments, one-third of patients remain resistant to therapy, with a limited understanding of caffeine (CAF) interactions with antiepileptic drugs such as topiramate (TPM). Zebrafish (Danio rerio), which share approximately 70% genetic homology with humans, represent a promising model for epilepsy research.

To investigate the metabolomic alterations in zebrafish larvae subjected to a pentylenetetrazol (PTZ)-induced seizure model, specifically focusing on the effects of CAF and TPM.

Four days after fertilization, zebrafish larvae were incubated for 18 h with different doses of TPM or a combination of CAF and TPM. Their locomotor activity was subsequently evaluated. Seizures were triggered by adding a PTZ solution to reach a final concentration of 20 mM. The identification of metabolites was carried out using liquid chromatography-tandem mass spectrometry (LC-MS/MS).

Our findings indicated lipid dysregulation, demonstrating increased levels of Lyso-PC, Lyso-PE, and Lyso-PAF in the epileptic larvae. Administration of TPM exacerbated lipid abnormalities, while CAF exhibited a stabilizing effect.

The findings highlight the potential of metabolomic approaches in uncovering novel biomarkers, which could enhance the management and development of therapeutic strategies for epilepsy. Moreover, we highlight the complex interactions between CAF and antiepileptic medications. Our findings establish a foundation for further research to understand lipid metabolism and its relevance in epilepsy, potentially guiding future therapeutic strategies.