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Capillary microsampling in mice: effective way to move from sparse sampling to serial sampling in pharmacokinetics

Amol A Raje1, Vallabh Mahajan1, Vishal V Pathade1

  • 1Drug Metabolism Pharmacokinetics and Clinical Pharmacology, Eurofins Advinus Ltd., (Formerly known as Advinus Therapeutics Ltd), Bengaluru, India.

Xenobiotica; the Fate of Foreign Compounds in Biological Systems
|October 23, 2019
PubMed
Summary

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Serial blood sampling in mice offers a more efficient method for pharmacokinetic studies. This technique yields comparable data to traditional methods while using fewer animals and less drug, improving study quality.

Area of Science:

  • Pharmacology
  • Drug Discovery
  • Preclinical Research

Background:

  • Pharmacokinetic (PK) studies are crucial in drug discovery.
  • Mice are commonly used for early PK studies.
  • Conventional methods often use composite PK profiles due to blood volume limitations.

Purpose of the Study:

  • To develop and validate a serial blood sampling technique in mice.
  • To compare serial sampling with conventional sparse sampling (composite PK).
  • To assess the PK of NSAIDs (diclofenac, celecoxib, tenoxicam) using both methods.

Main Methods:

  • Developed a serial blood sampling technique for mice, enabling small volume (<50 µL) analysis.
  • Administered NSAIDs orally to Swiss Albino mice.
  • Compared PK parameters obtained from serial sampling versus sparse sampling.
Keywords:
Serial blood samplingcomposite pharmacokineticsmicemicro-samplingtail vein

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Main Results:

  • PK parameters derived from serial sampling were comparable to sparse sampling.
  • No significant differences were observed in whole blood concentration-time profiles for the tested NSAIDs.
  • Serial sampling proved feasible and effective for mice PK studies.

Conclusions:

  • Serial blood sampling is a viable alternative to conventional sparse sampling in mice.
  • This method reduces animal numbers, compound usage, and potential dosing errors.
  • Serial sampling enhances PK data quality and allows for inter-animal variability assessment.