- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT02293096
Pharmacogenetic Prediction of Metoprolol Effectiveness
Study Overview
Status
Conditions
Intervention / Treatment
Study Type
Enrollment (Actual)
Phase
- Not Applicable
Contacts and Locations
Study Locations
-
-
Colorado
-
Aurora, Colorado, United States, 80045
- University of Colorado Denver; Emergency Department
-
-
Participation Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Genders Eligible for Study
Description
Inclusion Criteria:
- Subjects between age >30 years and < 80 years
- Subjects have diagnosis of uncontrolled essential hypertension.
Exclusion Criteria:
- end stage liver disease,
- end stage renal disease,
- pregnant females,
- American Society of Anesthesiologists (ASA) classification of >3,
- wards of the state, prisoners,
- decisionally challenged,
- HR<60 bpm,
- AV block>240 msec,
- active reactive airway disease,
- illicit drug abuse in the preceding 30 days,
- hypersensitivity to metoprolol or its derivatives
- severe peripheral arterial circulatory disorders.
Subjects will have a screening physical exam performed by Dr. Monte prior to enrollment in the study.
Study Plan
How is the study designed?
Design Details
- Primary Purpose: TREATMENT
- Allocation: NA
- Interventional Model: SINGLE_GROUP
- Masking: QUADRUPLE
Arms and Interventions
Participant Group / Arm |
Intervention / Treatment |
|---|---|
|
EXPERIMENTAL: Metoprolol succinate, CYP2D6 Genotyping, CYP2D6 Phenotyping
The parent study will integrate covariates to predict metoprolol effectiveness for SBP decline of 10%. All patients will receive metoprolol. The following covariates will be used to predict metoprolol effectiveness: clinical variables (Age, sex, race/ethnicity, co-medications, and BMI) CYP2D6 genotype, CYP2D6 phenotype, and metabolomic factors. metoprolol succinate Genotyping: CYP2D6 only clinically pertinent pathway of metoprolol metabolism and polymorphisms have been associated with altered levels of metoprolol. ADRB1 is the drug target and polymorphism in this receptor has been associated with variable drug response. Genotyping will occur after the treatment phase is complete. CYP2D6 Phenotyping: Phenotype can be discordant from what is predicted by genotype. CYP2D6 henotyping using dextromethorphan will be used. Investigators will be blind to the patient blood pressure outcome for this intervention. |
Other Names:
CYP2D6 only clinically pertinent pathway of metoprolol metabolism and polymorphisms have been associated with altered levels of metoprolol.
ADRB1 is the drug target and polymorphism in this receptor has been associated with variable drug response.
Genotyping will occur after the treatment phase is complete.
Thus the investigator, the subject, and the outcomes investigator will be blind to the intervention.
Other Names:
Phenotype can be discordant from what is predicted by genotype due to variability in absorption, hepatic blood flow, drug interaction and drug elimination.
These factors can be accounted for by utilizing a phenotyping assay that determines area under the curve of the probe since the probe is affected by the same variables dictating metabolism phenotype of the therapeutic drug.
Investigators will be blind to the patient blood pressure outcome for this intervention.
Other Names:
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Blood Pressure Decline
Time Frame: 4-6 weeks status post initiation
|
Participants with at least a 10% decrease in SBP
|
4-6 weeks status post initiation
|
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Heart Rate Decline
Time Frame: 4-6 weeks
|
10 % decline from pre-initiation heart rate will considered a HR decline success.
Number of of participants with at least 10% decline is reported.
|
4-6 weeks
|
|
Adverse Drug Events: CYP2D6 Metabolizer Status
Time Frame: 6 weeks
|
Occurrence of adverse drug events will be captured and stratified by CYP2D6 metabolizer status (Poor Metabolizer (PM), Extensive Metabolizer (EM), Intermediate Metabolizer (IM), and Ultra rapid Metabolizer).
|
6 weeks
|
|
Adverse Drug Events: ADRB1 Genotype
Time Frame: 6 weeks
|
Occurrence of adverse drug events will be captured and stratified by ADRB1 genotype (strong responder, good responder, non-responder).
|
6 weeks
|
Other Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Metabolomic Factors
Time Frame: 0-6 weeks
|
The top 5 metabolomic factors associated with SBP decline will be captured and stratified by CYP2D6 genotype and phenotype groups.
|
0-6 weeks
|
Collaborators and Investigators
Sponsor
Collaborators
Investigators
- Principal Investigator: Andrew Monte, MD, University of Colorado, Denver
Publications and helpful links
Study record dates
Study Major Dates
Study Start
Primary Completion (ACTUAL)
Study Completion (ACTUAL)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (ESTIMATE)
Study Record Updates
Last Update Posted (ACTUAL)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
- Cardiovascular Diseases
- Vascular Diseases
- Hypertension
- Physiological Effects of Drugs
- Adrenergic beta-Antagonists
- Adrenergic Antagonists
- Adrenergic Agents
- Neurotransmitter Agents
- Molecular Mechanisms of Pharmacological Action
- Anti-Arrhythmia Agents
- Antihypertensive Agents
- Autonomic Agents
- Peripheral Nervous System Agents
- Excitatory Amino Acid Antagonists
- Excitatory Amino Acid Agents
- Respiratory System Agents
- Antitussive Agents
- Sympatholytics
- Adrenergic beta-1 Receptor Antagonists
- Dextromethorphan
- Metoprolol
Other Study ID Numbers
- 13-3174
- 1K23GM110516-01 (NIH)
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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