Article ; Online: Pharmacogenomic study-A pilot study of the effect of pharmacogenomic phenotypes on the adequate dosing of verapamil for migraine prevention.
2024 Volume 24, Issue 3, Page(s) 11
Abstract: Objective: To investigate factors affecting the efficacy and tolerability of verapamil for migraine prevention using individual pharmacogenomic phenotypes.: Background: Verapamil has a wide range of dosing in headache disorders without reliable tools ...
Abstract | Objective: To investigate factors affecting the efficacy and tolerability of verapamil for migraine prevention using individual pharmacogenomic phenotypes. Background: Verapamil has a wide range of dosing in headache disorders without reliable tools to predict the optimal doses for an individual. Methods: This is a retrospective chart review examining adults with existing pharmacogenomic reports at Mayo Clinic who had used verapamil for migraine. Effects of six cytochrome P450 phenotypes on the doses of verapamil for migraine prevention were assessed. Results: Our final analysis included 33 migraine patients (82% with aura). The mean minimum effective and maximum tolerable doses of verapamil were 178.2(20-320) mg and 227.9(20-480) mg. A variety of CYP2C9, CYP2D6, and CYP3A5 phenotypes were found, without significant association with the verapamil doses after adjusting for age, sex, body mass index, and smoking status. Conclusions: We demonstrated a wide range of effective and tolerable verapamil doses used for migraine in a cohort with various pharmacogenomic phenotypes. |
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MeSH term(s) | Adult ; Humans ; Pilot Projects ; Verapamil/therapeutic use ; Pharmacogenomic Testing ; Pharmacogenetics ; Retrospective Studies ; Migraine Disorders/drug therapy ; Migraine Disorders/genetics ; Migraine Disorders/prevention & control ; Phenotype |
Chemical Substances | Verapamil (CJ0O37KU29) |
Language | English |
Publishing date | 2024-04-09 |
Publishing country | United States |
Document type | Journal Article |
ZDB-ID | 2106831-8 |
ISSN | 1473-1150 ; 1470-269X |
ISSN (online) | 1473-1150 |
ISSN | 1470-269X |
DOI | 10.1038/s41397-024-00331-4 |
Database | MEDical Literature Analysis and Retrieval System OnLINE |
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