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Related Concept Videos

Pharmacokinetic Models: Overview01:20

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Pharmacokinetic models utilize mathematical analysis to achieve a detailed quantitative understanding of a drug's life cycle within the body. They are instrumental in simulating a drug's pharmacokinetic parameters, predicting drug concentrations over time, optimizing dosage regimens, linking concentrations with pharmacologic activity, and estimating potential toxicity.
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Physiological and compartmental models are valuable tools used in studying biological systems. These models rely on differential equations to maintain mass balance within the system, ensuring an accurate representation of the dynamic processes at play.
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Agonists can bind with and activate receptors, resulting in the formation of drug-receptor complexes. Once formed, these complexes catalyze many biochemical processes at the cellular level and subsequently induce a pharmacologic response. The degree of response is directly proportional to the fraction of activated receptors, which in turn, depends on the concentration of the drug at the receptor site as well as the sensitivity of the receptor. An increase in the administered dose contributes to...
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Analysis of population pharmacokinetic data involves studying the behavior of drugs within diverse populations to understand their pharmacokinetic parameters. Traditional pharmacokinetic methods typically involve collecting samples from a few individuals and estimating these parameters. While these methods are commonly used, they have limitations in capturing the variability in drug response among individuals or heterogeneous populations. Population pharmacokinetics is employed to address these...
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When it comes to infants and young children, they are typically administered smaller doses of medication in comparison to adults. This is primarily because their organ functions still need to fully develop, meaning their bodies are not as efficient at metabolizing or eliminating drugs. Additionally, their blood-brain barrier is more permeable than in adults. As a result, high concentrations of drugs can easily penetrate the central nervous system (CNS), potentially leading to neurological...
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Drug disposition in the body is a complex process and can be studied using two major approaches: the model and the model-independent approaches.
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A new experimental model to study human drug responses.

Kyung Hee Noh1, Hyun Mi Kang1, Soo Jin Oh2

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Summary

A novel networking and circulating cell culture system (NCCS) accurately predicts oral drug pharmacokinetics and pharmacodynamics in vitro. This system mimics human physiology, showing over 70% similarity to human data and offering a better alternative to animal models.

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Area of Science:

  • Pharmacology
  • Biotechnology
  • Drug Development

Background:

  • Accurate prediction of pharmacokinetic (PK) and pharmacodynamic (PD) properties is crucial for successful drug development.
  • The first-pass effect, involving intestinal absorption and liver metabolism, significantly impacts oral drug bioavailability (BA) and is challenging to model in vitro.
  • Existing animal models show limited correlation with human absorption and metabolism, posing a substantial limitation in drug discovery.

Purpose of the Study:

  • To develop and validate a novel networking and circulating cell culture system (NCCS) that mimics the human circulatory system and organ interactions for in vitro PK/PD studies.
  • To assess the accuracy of NCCS in predicting the first-pass effect and oral drug absorption and metabolism compared to human data.
  • To demonstrate the utility of NCCS in evaluating species differences in drug metabolism, using acetaminophen as a case study.

Main Methods:

  • Fabrication of NCCS comprising a micro-pump, specialized culture dishes, and an orbital shaker with controlled flow rate and shaking speed.
  • Utilized HepaRG and Caco-2 cell lines with a modified spheroid forming unit (SFU) protocol to model the first-pass effect.
  • Analyzed 15 reference drugs using liquid chromatography-mass spectrometry to compare NCCS-generated PK data with human in vivo data.

Main Results:

  • NCCS successfully mimicked the circulatory system and organ interactions for in vitro drug testing.
  • Absorption and metabolism data generated by NCCS demonstrated over 70% similarity to human pharmacokinetic data.
  • NCCS effectively highlighted species differences in drug metabolism, as shown in the human versus mouse acetaminophen metabolism comparison.

Conclusions:

  • The developed NCCS provides a reliable in vitro platform for predicting oral drug PK/PD, including the first-pass effect, with high similarity to human data.
  • NCCS offers a promising alternative to animal models, addressing limitations in predicting human absorption and metabolism and facilitating the assessment of efficacy and toxicity.
  • This system has broad applications in drug discovery and development, enabling more accurate and efficient evaluation of drug candidates.