The scientific and clinical process of taking biological and pharmacological data derived from non-human experimental systems, such as cell cultures or animal models, and making reasoned predictions about their potential effects, efficacy, and safety in human physiology. This extrapolation is a necessary but complex step in the development of new hormonal and peptide therapies, requiring careful consideration of species-specific differences in metabolism and receptor biology. It bridges the gap between laboratory discovery and human clinical application.
Origin
The term is fundamental to the field of translational medicine and drug development, where initial proof-of-concept and toxicity testing must occur in controlled preclinical settings. In the hormonal space, this involves studying the effects of novel peptides or hormone analogues in animal models to estimate effective human dosing and potential therapeutic windows.
Mechanism
Extrapolation involves pharmacokinetic and pharmacodynamic scaling, where metabolic rates and receptor binding affinities observed in the preclinical model are adjusted to predict human response. For instance, the half-life and clearance of a peptide in a rodent model must be mathematically translated to estimate its necessary human dosing frequency. This process informs the initial design of human clinical trials, minimizing risk while maximizing the chance of therapeutic success.
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