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

INTRODUCTION: 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...

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Autores principales: Brocker, Chad N., Velenosi, Thomas, Flaten, Hania K., McWilliams, Glenn, McDaniel, Kyle, Shelton, Shelby K., Saben, Jessica, Krausz, Kristopher W., Gonzalez, Frank J., Monte, Andrew A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7066769/
https://www.ncbi.nlm.nih.gov/pubmed/32160915
http://dx.doi.org/10.1186/s40246-020-00260-w
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author Brocker, Chad N.
Velenosi, Thomas
Flaten, Hania K.
McWilliams, Glenn
McDaniel, Kyle
Shelton, Shelby K.
Saben, Jessica
Krausz, Kristopher W.
Gonzalez, Frank J.
Monte, Andrew A.
author_facet Brocker, Chad N.
Velenosi, Thomas
Flaten, Hania K.
McWilliams, Glenn
McDaniel, Kyle
Shelton, Shelby K.
Saben, Jessica
Krausz, Kristopher W.
Gonzalez, Frank J.
Monte, Andrew A.
author_sort Brocker, Chad N.
collection PubMed
description INTRODUCTION: 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. METHODS: 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. RESULTS: 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. CONCLUSION: In summary, urinary metabolites predict CYP2D6 genotype in hypertensive patients taking metoprolol. Metoprolol succinate therapy affects the microbiome-derived metabolites.
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spelling pubmed-70667692020-03-18 Metabolomic profiling of metoprolol hypertension treatment reveals altered gut microbiota-derived urinary metabolites Brocker, Chad N. Velenosi, Thomas Flaten, Hania K. McWilliams, Glenn McDaniel, Kyle Shelton, Shelby K. Saben, Jessica Krausz, Kristopher W. Gonzalez, Frank J. Monte, Andrew A. Hum Genomics Primary Research INTRODUCTION: 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. METHODS: 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. RESULTS: 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. CONCLUSION: In summary, urinary metabolites predict CYP2D6 genotype in hypertensive patients taking metoprolol. Metoprolol succinate therapy affects the microbiome-derived metabolites. BioMed Central 2020-03-11 /pmc/articles/PMC7066769/ /pubmed/32160915 http://dx.doi.org/10.1186/s40246-020-00260-w Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Primary Research
Brocker, Chad N.
Velenosi, Thomas
Flaten, Hania K.
McWilliams, Glenn
McDaniel, Kyle
Shelton, Shelby K.
Saben, Jessica
Krausz, Kristopher W.
Gonzalez, Frank J.
Monte, Andrew A.
Metabolomic profiling of metoprolol hypertension treatment reveals altered gut microbiota-derived urinary metabolites
title Metabolomic profiling of metoprolol hypertension treatment reveals altered gut microbiota-derived urinary metabolites
title_full Metabolomic profiling of metoprolol hypertension treatment reveals altered gut microbiota-derived urinary metabolites
title_fullStr Metabolomic profiling of metoprolol hypertension treatment reveals altered gut microbiota-derived urinary metabolites
title_full_unstemmed Metabolomic profiling of metoprolol hypertension treatment reveals altered gut microbiota-derived urinary metabolites
title_short Metabolomic profiling of metoprolol hypertension treatment reveals altered gut microbiota-derived urinary metabolites
title_sort metabolomic profiling of metoprolol hypertension treatment reveals altered gut microbiota-derived urinary metabolites
topic Primary Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7066769/
https://www.ncbi.nlm.nih.gov/pubmed/32160915
http://dx.doi.org/10.1186/s40246-020-00260-w
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