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Mechanism based medicine in infancy: complex interplay between developmental pharmacology and pharmacogenetics
1Neonatal Intensive Care Unit, Division of Woman and Child, University Hospitals Leuven, Herestraat 49, 3000 Leuven, Belgium. karel.allegaert@uz.kuleuven.ac.be
Insights
Pharmacogenetics helps bridge the gap between population-based and individual medicine. Tailored pharmacotherapy requires considering pharmacogenetics alongside factors like age, renal function, and co-medication for complex drug responses.
Area of Science:
- Pharmacology
- Genetics
- Personalized Medicine
Background:
- Pharmacogenetics is key to advancing individualized medicine.
- Current approaches often focus on population data, creating a gap with individual patient needs.
- Understanding drug response variability is crucial for effective treatment.
Purpose of the Study:
- To highlight the importance of pharmacogenetics in personalized medicine.
- To demonstrate the need to integrate pharmacogenetics with other covariates for tailored pharmacotherapy.
- To extend existing examples illustrating complex drug interactions.
Main Methods:
- Literature review and synthesis of existing knowledge.
- Extension of a previous case study (tramadol example).
- Analysis of multiple covariates influencing drug response.
Main Results:
- Pharmacogenetics is a vital tool for bridging the evidence-based and mechanistic medicine gap.
- Tailored pharmacotherapy necessitates a multifactorial approach, including pharmacogenetics, age, renal function, and co-medication.
- The extended tramadol example showcases the intricate relationship between developmental pharmacology and pharmacogenetics.
Conclusions:
- Integrating pharmacogenetics with clinical factors is essential for optimizing drug therapy.
- A holistic approach is required for truly personalized pharmacotherapy.
- Further research into the interplay of multiple factors is needed to refine individualized treatment strategies.
Abstract:
Introduction of the available knowledge on pharmacogenetics very likely is one of the tools to close the gap between 'population' focused evidence based and 'individual' mechanism based medicine. However, besides pharmacogenetics, other covariates like age, renal function and/or co-medication should also be considered simultaneously when aiming for a 'tailored' pharmacotherapy. To illustrate this, we further extended the tramadol example used by Wilffert et al. to illustrate the complex interplay between developmental pharmacology and pharmacogenetics.
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