Study Results
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View full resultsBasic Information
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TERMINATED
NA
462 participants
INTERVENTIONAL
2014-09-30
2017-08-23
Brief Summary
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Detailed Description
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Conditions
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Study Design
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NA
SINGLE_GROUP
TREATMENT
QUADRUPLE
Study Groups
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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.
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. Thus the investigator, the subject, and the outcomes investigator will be blind to the intervention.
CYP2D6 Phenotyping
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.
Interventions
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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. Thus the investigator, the subject, and the outcomes investigator will be blind to the intervention.
CYP2D6 Phenotyping
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 Intervention Names
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Eligibility Criteria
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Inclusion Criteria
2. Subjects have diagnosis of uncontrolled essential hypertension.
Exclusion Criteria
2. end stage renal disease,
3. pregnant females,
4. American Society of Anesthesiologists (ASA) classification of \>3,
5. wards of the state, prisoners,
6. decisionally challenged,
7. HR\<60 bpm,
8. AV block\>240 msec,
9. active reactive airway disease,
10. illicit drug abuse in the preceding 30 days,
11. hypersensitivity to metoprolol or its derivatives
12. severe peripheral arterial circulatory disorders.
Subjects will have a screening physical exam performed by Dr. Monte prior to enrollment in the study.
30 Years
80 Years
ALL
No
Sponsors
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National Institute of General Medical Sciences (NIGMS)
NIH
University of Colorado, Denver
OTHER
Responsible Party
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Principal Investigators
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Andrew Monte, MD
Role: PRINCIPAL_INVESTIGATOR
University of Colorado, Denver
Locations
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University of Colorado Denver; Emergency Department
Aurora, Colorado, United States
Countries
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References
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Brocker CN, Velenosi T, Flaten HK, McWilliams G, McDaniel K, Shelton SK, Saben J, Krausz KW, Gonzalez FJ, Monte AA. Metabolomic profiling of metoprolol hypertension treatment reveals altered gut microbiota-derived urinary metabolites. Hum Genomics. 2020 Mar 11;14(1):10. doi: 10.1186/s40246-020-00260-w.
Provided Documents
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Document Type: Study Protocol and Statistical Analysis Plan
Other Identifiers
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13-3174
Identifier Type: -
Identifier Source: org_study_id
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