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Updated: May 28, 2026
10:50
Osmotic Drug Delivery to Ischemic Hindlimbs and Perfusion of Vasculature with Microfil for Micro-Computed Tomography Imaging
Published on: June 29, 2013
Personalized vascular medicine: individualizing drug therapy.
Emil M Degoma1, Giovanni Rivera, Scott M Lilly
1Division of Cardiovascular Medicine, University of Pennsylvania, Philadelphia, USA. Emil.deGoma@uphs.upenn.edu
Vascular Medicine (London, England)
|October 18, 2011
Summary
Personalized medicine uses an individual's unique biological data to tailor treatments for vascular disease. This review explores strategies for personalizing antiplatelet, antihypertensive, lipid-lowering, and antithrombotic therapies.
Area of Science:
- Cardiovascular Medicine
- Pharmacogenomics
- Translational Science
Background:
- Personalized medicine aims to optimize healthcare using an individual's unique biological information.
- Implementing personalized medicine, especially in vascular disease, faces significant challenges.
- Advances in pharmacogenomics and vascular biology assays offer new tools for tailoring treatments.
Purpose of the Study:
- To review novel strategies for personalizing pharmacotherapy in vascular medicine.
- To address the tailoring of four major drug classes: antiplatelet, antihypertensive, lipid-lowering, and antithrombotic agents.
- To highlight the current status and future directions of personalized vascular medicine.
Main Methods:
- Review of current literature on personalized medicine in vascular disease.
- Description of advances in pharmacogenomics and functional assays.
- Analysis of strategies for tailoring specific drug classes.
Main Results:
- Novel strategies exist for personalizing antiplatelet, antihypertensive, lipid-lowering, and antithrombotic therapies.
- Pharmacogenomic and functional assay data can improve prediction of individual drug response.
- Personalized approaches offer potential for optimized medical care in vascular disease.
Conclusions:
- Personalized medicine holds promise for improving vascular disease management.
- Routine clinical adoption requires validation through ongoing randomized clinical trials.
- Comparing personalized strategies against standard care is crucial for practice integration.
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