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Turn On, Tune In, Turnover! Target Biology Impacts In Vivo Potency, Efficacy, and Clearance
Johan Gabrielsson1, Stephan Hjorth2
1MedDoor AB, Gothenburg, Sweden (J.G.) and Pharmacilitator AB, Vallda, Sweden (S.H.) Professor.Gabrielsson@gmail.com.
Abstract:
Even though significant efforts have been spent in recent years to understand and define the determinants of in vivo potency and clearance, important pieces of information are still lacking. By introducing target turnover into the reasoning, we open up to further the understanding of central factors important to the optimization of translational dose-concentration-response predictions. We describe (i) new (open model) expressions of the in vivo potency and efficacy parameters, which embody target turnover, binding, and complex kinetics, also capturing full, partial, and inverse agonism and antagonism; (ii) a detailed examination of open models to show what potency and efficacy parameters have in common and how they differ; and (iii) a comprehensive literature review showing that target turnover rate varies with age, species, tissue/subregion, treatment, disease state, hormonal and nutritional state, and day-night cycle. The new open model expression, which integrates system and drug properties, shows the following. Fractional turnover rates rather than the absolute target or ligand-target complex expression determine necessary drug exposure via in vivo potency. Absolute ligand-target expression determines the need of a drug, based on the transduction ρ and in vivo efficacy parameters. The free enzyme concentration determines clearance and maximum metabolic rate. The fractional turnover rate determines time to equilibrium between substrate, free enzyme, and complex.The properties of substrate, target, and the complex demonstrate nonsaturable metabolic behavior at equilibrium. Nonlinear processes, previously referred to as capacity- and time-dependent kinetics, may occasionally have been disequilibria. Finally, the open model may pinpoint why some subjects differ in their demand of drug. SIGNIFICANCE STATEMENT: Understanding the target turnover is a central tenet in many translational dose-concentration-response predictions. New open model expressions of in vivo potency, efficacy parameter, and clearance are derived and anchored onto a comprehensive literature review showing that target turnover rate varies with age, species, tissue/subregion, treatment, disease, hormonal and nutritional state, day-night cycle, and more. Target turnover concepts will therefore significantly impact fundamental aspects of pharmacodynamics and pharmacokinetics, thereby also the basics of drug discovery, development, and optimization of clinical dosing.
Insights
Introducing target turnover into pharmacokinetic models enhances understanding of drug potency and clearance. New open models reveal how fractional turnover rates, not absolute concentrations, determine drug exposure and efficacy across diverse physiological conditions.
Area of Science:
- Pharmacology and Drug Development
- Biochemical Kinetics
- Translational Medicine
Background:
- Significant knowledge gaps persist in defining determinants of in vivo drug potency and clearance.
- Existing models often lack the integration of crucial biological system dynamics.
- Optimizing translational dose-concentration-response predictions requires a deeper understanding of these determinants.
Purpose of the Study:
- To develop novel open model expressions for in vivo potency and efficacy parameters that incorporate target turnover.
- To analyze the commonalities and differences between potency and efficacy parameters within these new models.
- To comprehensively review literature on factors influencing target turnover rates in biological systems.
Main Methods:
- Derivation of new open model expressions integrating system and drug properties, including target turnover, binding, and complex kinetics.
- Examination of these open models to elucidate the relationships between potency, efficacy, and drug exposure.
- Conducting a comprehensive literature review on the variability of target turnover rates across different biological contexts.
Main Results:
- Fractional turnover rates, rather than absolute target or ligand-target complex concentrations, dictate necessary drug exposure for in vivo potency.
- Absolute ligand-target concentrations, along with transduction and in vivo efficacy parameters, determine the drug's requirement.
- Free enzyme concentration influences clearance and metabolic rate, while fractional turnover rate governs equilibrium kinetics.
Conclusions:
- The novel open model provides a more accurate framework for predicting drug behavior by integrating target turnover.
- Understanding target turnover variability is crucial for optimizing drug discovery, development, and clinical dosing strategies.
- This approach may explain inter-individual differences in drug response and requirements.
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