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Therapeutic drug monitoring of Antiepileptic drugs in serum: a fully automated approach

Posters | 2017 | ShimadzuInstrumentation
Sample Preparation, LC/MS, LC/MS/MS, LC/QQQ
Industries
Clinical Research
Manufacturer
Shimadzu

Summary

Significance of the Topic


The therapeutic drug monitoring (TDM) of antiepileptic drugs (AEDs) is essential for optimizing patient therapy and minimizing adverse effects. Due to high inter- and intra-individual variability in pharmacokinetics, precise and reliable quantification of multiple AEDs in serum is a critical requirement in both research and clinical settings.

Study Objectives and Overview


This study presents a fully automated workflow for simultaneous quantitation of 26 common AEDs in human serum. By coupling an automated sample preparation unit (CLAM-2000) with a triple quadrupole LC-MS/MS system (Nexera X2-LCMS-8060), the aim was to eliminate manual extraction steps, enhance throughput, and maintain high analytical accuracy.

Methodology and Instrumentation


  • Sample Preparation: On-deck protein precipitation, filtration, and extract transfer performed by CLAM-2000 at 8 °C.
  • Chromatography and Detection: Nexera X2 UHPLC linked to LCMS-8060 triple quadrupole; multiple reaction monitoring (MRM) transitions set for each analyte.
  • Calibration: Three serum calibrator levels and internal standards (ClinCal® MS9213 and ClinMass® MS9212) used to evaluate linearity and accuracy.

Key Results and Discussion


  • Throughput: One fully quantified sample every 6 minutes without human intervention.
  • Correlation: Excellent agreement with manual preparation (Passing-Bablok regression across 20 spiked samples).
  • Linearity and Accuracy: R2 values ≥ 0.97 for most analytes, accuracy within 85–115%.
  • Precision: Intraday and interday CVs below 15% across low and high concentration controls.

Method Benefits and Practical Applications


The automated approach reduces operator risk, reagent consumption, and per-sample costs while improving reproducibility. It is well suited for high-throughput TDM in research and quality control laboratories.

Future Trends and Potential Applications


  • Extension to broader drug panels and biomarkers.
  • Integration with laboratory information management systems for real-time reporting.
  • Miniaturized cartridges and on-site point-of-care platforms.
  • Combining TDM data with pharmacogenomic profiling for personalized therapy.

Conclusion


The fully automated LC-MS/MS workflow provides a robust, accurate, and cost-efficient solution for simultaneous monitoring of multiple AEDs in serum, paving the way for streamlined therapeutic monitoring in both research and clinical laboratories.

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