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TerminatedNCT02293096Updated Sep 16, 2021Results posted

Pharmacogenetic Prediction of Metoprolol Effectiveness

An interventional study of metoprolol succinate and Genotyping in Hypertension, sponsored by University of Colorado, Denver. Terminated at 1 site in United States. Open to participants aged 30 Years to 80 Years. Per ClinicalTrials.gov, last updated 2021-09-16.

Sponsored by University of Colorado, Denver · Not applicable, Interventional, and Treatment

Why this study was terminated
Study was terminated due to the change in funding.
Phase
Not applicable
Study type
Interventional
Enrollment
462
Allocation
Not applicable
Ages
30 Years to 80 Years
Sex
All
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Study summary

The investigators will prospectively follow a population of patients with uncontrolled high blood pressure beginning metoprolol succinate therapy to determine the drug effect in an observational clinical trial. The investigators will determine each individual's genotype for both CYP2D6 and Adrenoceptor Beta 1 (ADRB1). Metabolomic markers will be identified to determine if specific metabolites are associated with drug response. The investigators' overall objective is to determine if genetics predicts metoprolol succinate response better than clinical factors such as age, race, body mass index, dose, and medication co-ingestion.

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Conditions studied

  • Hypertension

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Keywords

  • Genotype
  • CYP2D6
  • ADRB1
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In context

Hypertension

6,689 studies on the registry are indexed under Hypertension; 965 are open to participants now.

This study's enrollment of 462 is above the median of 90 across 4,995 interventional studies indexed under Hypertension.

Browse Hypertension studies →

Lead sponsor

University of Colorado, Denver is the lead sponsor of 1,499 studies on the registry; 315 are open to participants now.

Of its 139 completed or terminated interventional studies of FDA-regulated products, 89 (64%) have results posted.

Counted across the registry records on this site, refreshed daily.

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Who can participate

Ages eligible
30 Years to 80 Years
Sexes eligible
All
Accepts healthy volunteers
No

Inclusion criteria

  1. Subjects between age >30 years and \< 80 years
  2. Subjects have diagnosis of uncontrolled essential hypertension.

Exclusion criteria

Exclusion Criteria:

  1. end stage liver disease,
  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.

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Study design

Phase
Not applicable
Primary purpose
Treatment
Allocation
Not applicable
Intervention model
Single group
Masking
Quadruple (Participant, Care provider, Investigator, Outcomes assessor)
Enrollment
462 participants (actual)

Study arms

  • 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.

    Drug: metoprolol succinate · Genetic: Genotyping · Procedure: CYP2D6 Phenotyping

Interventions

  • Drugmetoprolol succinate

    Also known as: Lopressor

  • GeneticGenotyping

    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.

    Also known as: CYP2D6 genotyping and ADRB1 genotyping

  • ProcedureCYP2D6 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.

    Also known as: Dextromethorphan probe of CYP2D6

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What researchers measure

Primary outcomes

  1. Blood Pressure Decline

    Participants with at least a 10% decrease in SBP

    Time frame: 4-6 weeks status post initiation

Secondary outcomes

  1. Heart Rate Decline

    10 % decline from pre-initiation heart rate will considered a HR decline success. Number of of participants with at least 10% decline is reported.

    Time frame: 4-6 weeks

  2. Adverse Drug Events: CYP2D6 Metabolizer Status

    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).

    Time frame: 6 weeks

  3. Adverse Drug Events: ADRB1 Genotype

    Occurrence of adverse drug events will be captured and stratified by ADRB1 genotype (strong responder, good responder, non-responder).

    Time frame: 6 weeks

Other outcomes

  1. Metabolomic Factors

    The top 5 metabolomic factors associated with SBP decline will be captured and stratified by CYP2D6 genotype and phenotype groups.

    Time frame: 0-6 weeks

07

Results

Posted Sep 16, 2021

Participant flow

Participant flow — Overall Study
MilestoneMetoprolol Succinate, Genotyping, Clinical Factors, and Phenotyping
Started140
Completed140
Not completed0

Outcome measures

PrimaryBlood Pressure Decline

Participants with at least a 10% decrease in SBP

Time frame:
4-6 weeks status post initiation
Reported as:
Count of participants · Participants
Blood Pressure Decline
ParticipantsMetoprolol Succinate, Genotyping, Clinical Factors, and Phenotyping
Blood Pressure Decline85
SecondaryHeart Rate Decline

10 % decline from pre-initiation heart rate will considered a HR decline success. Number of of participants with at least 10% decline is reported.

Time frame:
4-6 weeks
Reported as:
Count of participants · Participants
Heart Rate Decline
ParticipantsMetoprolol Succinate, Genotyping, Clinical Factors, and Phenotyping
Heart Rate Decline67
SecondaryAdverse Drug Events: CYP2D6 Metabolizer Status

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).

Time frame:
6 weeks
Reported as:
Number · participants with events
Adverse Drug Events: CYP2D6 Metabolizer Status
participants with eventsMetoprolol Succinate, Genotyping, Clinical Factors, and Phenotyping
CYP2D6 metabolizer status: EM3
Other Metabolizer Statuses0
Other pre-specifiedMetabolomic Factors

The top 5 metabolomic factors associated with SBP decline will be captured and stratified by CYP2D6 genotype and phenotype groups.

Time frame:
0-6 weeks

Results for this outcome have not been posted.

SecondaryAdverse Drug Events: ADRB1 Genotype

Occurrence of adverse drug events will be captured and stratified by ADRB1 genotype (strong responder, good responder, non-responder).

Time frame:
6 weeks
Reported as:
Number · participants with events
Adverse Drug Events: ADRB1 Genotype
participants with eventsMetoprolol Succinate, Genotyping, Clinical Factors, and Phenotyping
ADRB1 genotype: Strong Responder1
ADRB1 genotype: Good Responder2
ADRB1 genotype: Non-responder0

Adverse events

Collected over 6 Weeks. Non-serious events are listed at a 5% frequency threshold.

Adverse event summary by group
GroupDeathsSeriousOther
Metoprolol Succinate, Genotyping, Clinical Factors, and Phenotyping0/140 (0%)0/140 (0%)0/140 (0%)

Baseline characteristics

Age, Continuous
Age, Continuous(years)Metoprolol Succinate, Genotyping, Clinical Factors, and Phenotyping
Mean52.12 ± 11.05
Sex: Female, Male
Sex: Female, Male(Participants)Metoprolol Succinate, Genotyping, Clinical Factors, and Phenotyping
Female55
Male85
Ethnicity (NIH/OMB)
Ethnicity (NIH/OMB)(Participants)Metoprolol Succinate, Genotyping, Clinical Factors, and Phenotyping
Hispanic or Latino24
Not Hispanic or Latino116
Unknown or Not Reported0
Race (NIH/OMB)
Race (NIH/OMB)(Participants)Metoprolol Succinate, Genotyping, Clinical Factors, and Phenotyping
American Indian or Alaska Native1
Asian2
Native Hawaiian or Other Pacific Islander0
Black or African American60
White70
More than one race6
Unknown or Not Reported1
Region of Enrollment
Region of Enrollment(participants)Metoprolol Succinate, Genotyping, Clinical Factors, and Phenotyping
United States140
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Study locations

1 site
  • University of Colorado Denver; Emergency Department
    Aurora, Colorado 80045, United States
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References and documents

Publications

  • 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. PubMed 32160915 ↗

Study documents

  • Protocol and statistical analysis plan · Feb 2, 2015

Documents are hosted by the registry — open the source record to download them.

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Updates

Tracking since Sep 25, 2026
No changes since tracking began. The registry record was last updated on Sep 16, 2021, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
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Registry details

Key details

Study ID
NCT02293096
Lead sponsor
University of Colorado, Denver
Collaborators
National Institute of General Medical Sciences (NIGMS)
Responsible party
Sponsor
First posted
Nov 18, 2014
Start date
Sep 2014
Primary completion
Aug 23, 2017
Completion
Aug 23, 2017
Results posted
Sep 16, 2021
Last update
Sep 16, 2021

Study contacts

Andrew Monte, MD
principal investigator · University of Colorado, Denver

Oversight

Data monitoring committee
Yes
View the source record on ClinicalTrials.gov ↗

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This study is terminated, as verified in Aug 2021. You cannot join it, but the record below documents what was studied.

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