Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Genetic polymorphisms, drugs, and proarrhythmia.

Dan M Roden1

  • 1Director, Division of Clinical Pharmacology, Vanderbilt University School of Medicine, 532 Medical Research Building I, Nashville, TN 37232, USA. dan.roden@vanderbilt.edu

Journal of Interventional Cardiac Electrophysiology : an International Journal of Arrhythmias and Pacing
|October 24, 2003
PubMed
Summary

Individual responses to medications vary due to pharmacokinetic and pharmacodynamic variability. Genetic factors significantly influence these differences, paving the way for personalized drug selection and reduced adverse drug reactions.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Leveraging Generative AI to Prioritize Drug Repurposing Candidates: Validating Identified Candidates for Alzheimer's Disease in Real-World Clinical Datasets.

medRxiv : the preprint server for health sciences·2023
Same author

Cardiac Sarcoidosis and a Likely Pathogenic <i>TTN</i> Variant in a Patient Presenting With Ventricular Tachycardia.

JACC. Case reports·2023
Same author

High-throughput functional mapping of variants in an arrhythmia gene, <i>KCNE1</i>, reveals novel biology.

bioRxiv : the preprint server for biology·2023
Same author

Detection of distant familial relatedness in biobanks for identification of undiagnosed carriers of a Mendelian disease variant: application to Long QT syndrome.

medRxiv : the preprint server for health sciences·2023
Same author

Multicenter clinical and functional evidence reclassifies a recurrent noncanonical filamin C splice-altering variant.

Heart rhythm·2023
Same author

Familial Hypercholesterolemia in the Electronic Medical Records and Genomics Network: Prevalence, Penetrance, Cardiovascular Risk, and Outcomes After Return of Results.

Circulation. Genomic and precision medicine·2023

Area of Science:

  • Pharmacology
  • Genetics
  • Personalized Medicine

Background:

  • Patient responses to drug therapy exhibit significant individual variability.
  • This variability stems from differences in how the body processes drugs (pharmacokinetics) and how drugs affect the body (pharmacodynamics).
  • Factors like genetic makeup, physiological conditions, and drug-target interactions contribute to these diverse responses.

Purpose of the Study:

  • To explore the mechanisms behind variable drug responses in humans.
  • To highlight the role of genetic variations in pharmacokinetic and pharmacodynamic processes.
  • To discuss the implications for drug development and personalized medicine.

Main Methods:

  • Review of existing literature on drug response variability.

Related Experiment Videos

  • Analysis of pharmacokinetic and pharmacodynamic variability.
  • Examination of genetic contributions to drug action and adverse effects.

    • Main Results:

    • Pharmacokinetic variability relates drug dose to drug/metabolite concentrations at target sites.
    • Pharmacodynamic variability involves differences in drug-target interactions or the broader biological context.
    • Genetic variants in pharmacokinetic and pharmacodynamic pathways are key contributors to variable drug actions, including proarrhythmia.

    Conclusions:

    • Understanding pharmacokinetic and pharmacodynamic variability, particularly genetic influences, is crucial.
    • This knowledge can lead to the development of drugs with fewer unexplained adverse effects.
    • It enables the potential for pre-selecting medications for individual patients based on their genetic profile.