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Chronopharmacokinetics: Time-Dependent Pharmacokinetics

Chronopharmacokinetics studies the temporal change in drug absorption and elimination. These changes can be cyclical or non-cyclical. Cyclical changes occur over a regular interval, while non-cyclical changes occur over a longer, irregular period.
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The link model is a fundamental pharmacokinetic-pharmacodynamic (PK–PD) approach to account for delayed drug responses when the observed effect does not immediately correlate with the drug's plasma concentration peak. This delay is mathematically addressed by introducing an effect compartment concentration, Ce, which is kinetically linked to the plasma concentration, Cp, via a first-order rate constant, ke0. The linkage allows for a more accurate prediction of drug effects over time. A higher...
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LTI models for 3-iodothyronamine time dynamics: a multiscale view.

Gianni Orsi1, Sabina Frascarelli, Riccardo Zucchi

  • 1Interdepartmental Research Center E. Piaggio, Faculty of Engineering, University of Pisa, 56126 Pisa, Italy. orsigianni@gmail.com

IEEE Transactions on Bio-Medical Engineering
|August 10, 2011
PubMed
Summary
This summary is machine-generated.

3-Iodothyronamine (T(1)AM), a thyroid hormone relative, impacts metabolism and heart function. Its conversion and uptake slow down in larger biological systems, following an allometric scaling law.

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Area of Science:

  • Biochemistry
  • Physiology
  • Pharmacokinetics

Background:

  • 3-Iodothyronamine (T(1)AM) is a thyroid hormone analog involved in glucose metabolism, thermoregulation, and cardiac function.
  • Understanding the time dynamics and biological scaling of T(1)AM is crucial for its therapeutic potential.

Purpose of the Study:

  • To characterize the time dynamics of T(1)AM and its metabolite 3-iodothyroacetic acid (TA(1)) across different biological scales.
  • To model the transport and conversion kinetics of T(1)AM using linear time-invariant models and allometric scaling.

Main Methods:

  • Utilized H9c2 murine cell cultures and perfused rat hearts to study T(1)AM dynamics.
  • Employed high-performance liquid chromatography coupled to tandem mass spectrometry (HPLC-MS/MS) for precise quantification of T(1)AM and TA(1).
  • Applied weighted least-squares methods to estimate kinetic constants and an allometric power law model.

Main Results:

  • Estimated kinetic constants for T(1)AM transport and conversion.
  • Demonstrated that these constants follow an allometric power law dependent on mass, with a negative exponent (-0.27 ± 0.19).
  • Indicated that T(1)AM conversion and internalization velocity decrease as biological system mass increases.

Conclusions:

  • The study reveals a mass-dependent scaling of T(1)AM kinetics, suggesting reduced efficiency in larger organisms.
  • These findings provide insights into the physiological disposition of T(1)AM and its catabolite.
  • The allometric relationship offers a predictive framework for T(1)AM behavior across different biological scales.