Metabolomic profiling of metoprolol hypertension treatment reveals altered gut microbiota-derived urinary metabolites.


Journal

Human genomics
ISSN: 1479-7364
Titre abrégé: Hum Genomics
Pays: England
ID NLM: 101202210

Informations de publication

Date de publication:
11 03 2020
Historique:
received: 30 09 2019
accepted: 28 02 2020
entrez: 13 3 2020
pubmed: 13 3 2020
medline: 7 7 2021
Statut: epublish

Résumé

Metoprolol succinate is a long-acting beta-blocker prescribed for the management of hypertension (HTN) and other cardiovascular diseases. Metabolomics, the study of end-stage metabolites of upstream biologic processes, yield insight into mechanisms of drug effectiveness and safety. Our aim was to determine metabolomic profiles associated with metoprolol effectiveness for the treatment of hypertension. We performed a prospective pragmatic trial (NCT02293096) that enrolled patients between 30 and 80 years with uncontrolled HTN. Patients were started on metoprolol succinate at a dose based upon systolic blood pressure (SBP). Urine and blood pressure measurements were collected weekly. Individuals with a 10% decline in SBP or heart rate (HR) were considered responsive. Genotype for the CYP2D6 enzyme, the primary metabolic pathway for metoprolol, was evaluated for each subject. Unbiased metabolomic analyses were performed on urine samples using UPLC-QTOF mass spectrometry. Urinary metoprolol metabolite ratios are indicative of patient CYP2D6 genotypes. Patients taking metoprolol had significantly higher urinary levels of many gut microbiota-dependent metabolites including hydroxyhippuric acid, hippuric acid, and methyluric acid. Urinary metoprolol metabolite profiles of normal metabolizer (NM) patients more closely correlate to ultra-rapid metabolizer (UM) patients than NM patients. Metabolites did not predict either 10% SBP or HR decline. In summary, urinary metabolites predict CYP2D6 genotype in hypertensive patients taking metoprolol. Metoprolol succinate therapy affects the microbiome-derived metabolites.

Identifiants

pubmed: 32160915
doi: 10.1186/s40246-020-00260-w
pii: 10.1186/s40246-020-00260-w
pmc: PMC7066769
doi:

Substances chimiques

Antihypertensive Agents 0
Metoprolol GEB06NHM23

Banques de données

ClinicalTrials.gov
['NCT02293096']

Types de publication

Journal Article Research Support, N.I.H., Extramural Research Support, N.I.H., Intramural

Langues

eng

Sous-ensembles de citation

IM

Pagination

10

Subventions

Organisme : NCATS NIH HHS
ID : NIH CTSI UL1 TR001082
Pays : United States
Organisme : NIGMS NIH HHS
ID : K23 GM110516
Pays : United States
Organisme : NIGMS NIH HHS
ID : R35 GM124939
Pays : United States

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Auteurs

Chad N Brocker (CN)

Laboratory of Metabolism, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.

Thomas Velenosi (T)

Laboratory of Metabolism, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.

Hania K Flaten (HK)

Department of Emergency Medicine & Colorado Center for Personalized Medicine, University of Colorado School of Medicine, Aurora, CO, USA.

Glenn McWilliams (G)

Department of Emergency Medicine & Colorado Center for Personalized Medicine, University of Colorado School of Medicine, Aurora, CO, USA.

Kyle McDaniel (K)

Department of Emergency Medicine & Colorado Center for Personalized Medicine, University of Colorado School of Medicine, Aurora, CO, USA.

Shelby K Shelton (SK)

Department of Emergency Medicine & Colorado Center for Personalized Medicine, University of Colorado School of Medicine, Aurora, CO, USA.

Jessica Saben (J)

Department of Emergency Medicine & Colorado Center for Personalized Medicine, University of Colorado School of Medicine, Aurora, CO, USA.

Kristopher W Krausz (KW)

Laboratory of Metabolism, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.

Frank J Gonzalez (FJ)

Laboratory of Metabolism, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.

Andrew A Monte (AA)

Department of Emergency Medicine & Colorado Center for Personalized Medicine, University of Colorado School of Medicine, Aurora, CO, USA. Andrew.Monte@ucdenver.edu.
Rocky Mountain Poison & Drug Center, Denver Health and Hospital Authority, Denver, CO, USA. Andrew.Monte@ucdenver.edu.
Department of Pharmaceutical Sciences, University of Colorado School of Pharmacy, 12401 E 17th Ave, Aurora, CO, 80045, USA. Andrew.Monte@ucdenver.edu.

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Classifications MeSH