Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2025 May;64(5):779-789.
doi: 10.1007/s40262-025-01502-7. Epub 2025 Apr 26.

Pharmacometabolomics Detects Various Unreported Metoprolol Metabolites in Urine of (Potential) Living Kidney Donors and Kidney Transplant Recipients

Collaborators, Affiliations

Pharmacometabolomics Detects Various Unreported Metoprolol Metabolites in Urine of (Potential) Living Kidney Donors and Kidney Transplant Recipients

Wietske A Heddema et al. Clin Pharmacokinet. 2025 May.

Abstract

Background and objective: Metoprolol is primarily metabolized via the polymorphic cytochrome P450-2D6 (CYP2D6) enzyme, which underlies interindividual variation in conversion rates and may benefit from pharmacogenetics-driven therapy personalization. However, the field relies heavily on knowledge of a drug's metabolism, often originating from early-phase clinical trials with single-dose administration in small samples of healthy volunteers. Pharmacogenetics could thus benefit from real-world drug metabolism studies.

Methods: We conducted a real-world drug metabolism study for metoprolol in 18 (potential) living kidney donors and 374 kidney transplant recipients from the Transplant Lines Food and Nutrition Biobank and Cohort Study (NCT02811835) using existing liquid chromatography-high resolution mass spectrometry pharmacometabolomic data.

Results: In both groups, we confirmed the presence of seven expected metabolites, including the high-abundance substances metoprolol acid and hydroxymetoprolol. We were unable to detect deisopropylmetoprolol and a metabolite known as "H 119/68". However, we did find putative further oxidized forms, namely the expected variant of deisopropylmetoprolol in which the primary amine is removed and the leftover methyl group is oxidized into a carboxylic acid ("H 104/83") and an unknown/unreported metoprolol metabolite that we refer to as "metoprolol benzoic acid". Moreover, we found nine other previously unknown/unreported metabolites, putatively reflecting N-glucuronidated metoprolol, four glucuronidated versions of hydroxymetoprolol, and a formylated, a glucuronidated, and two hydroxylated versions of metoprolol acid. Interestingly, the same metabolites were detected in potential living kidney donors and kidney transplant recipients, and metabolite profiles did not differ between both groups in principal component analysis.

Conclusion: We found more metoprolol metabolites than previously reported, calling for replication studies and evaluation of pharmacogenetic testing approaches to realize safer, more effective metoprolol therapy.

PubMed Disclaimer

Conflict of interest statement

Declarations. Funding: Frank Klont gratefully acknowledges the funding provided by the Netherlands Organisation for Scientific Research NWO (domain Applied and Engineering Sciences) under Veni grant agreement no. 19060. The funder had no role in the study design, data collection, analysis, reporting, or the decision to submit for publication. Furthermore, the generation of the TransplantLines Food and Nutrition Biobank and Cohort Study (TxL-FN), trial registration number NCT02811835, was funded by the Top Institute Food and Nutrition, grant number A-1003. Continuation of the TransplantLines Food and Nutrition Biobank and Cohort Study was supported by grants from Astellas BV and Chiesi Pharmaceuticals BV and co-financed by the Dutch Ministry of Economic Affairs and Climate Policy by means of the public–private partnership allowance made available by Top Sector Life Sciences & Health to stimulate public–private partnerships. The funders had no role in the study design, data collection, analysis, reporting, or decision to submit for publication. Conflict of interest: The authors have no financial or proprietary interests in any material discussed in this article. Ethics approval: This study used existing data of KTRs and PLKD included in the TransplantLines Food and Nutrition Biobank and Cohort Study (NCT identifier NCT02811835), which was approved by the institutional review board of the University Medical Center Groningen (decision METc 2008/186) and adhered to the Declaration of Helsinki. Consent to participate: All participants provided written informed consent before study participation. Consent for publication: Not applicable. Availability of data: The pharmacometabolomic data used have been deposited in an open-access data repository, as can be found at: https://doi.org/10.26037/yareta:ybdgdynykfe6rkjjxb7d6oynoa [35]. Patient-level data for data on file in this manuscript are not available for sharing as there is a reasonable likelihood that individual patients could be re-identified. Further information can be requested from the authors. Author contributions: W.A.H., M.A.J.H., P.S., S.J.L.B., G.H., and F.K. wrote the manuscript. F.K. designed the research. W.A.H., M.A.J.H., and F.K. performed the research. W.A.H. and F.K. analyzed the data. S.J.L.B. and G.H. contributed new reagents/analytical tools.

Figures

Fig 1
Fig 1
Chemical structures and product ion mass spectra of a metoprolol acid and b N-formylated metoprolol acid. Regarding the data shown for metoprolol acid, this reflects a ‘level 1’ identification in terms of the classification proposed by the Metabolomics Standards Initiative [38]. The data shown in panel b reflect a ‘level 3’ identification, and the presented structure is the proposed structural formula of the respective metoprolol metabolite candidate
Fig. 2
Fig. 2
Pareto-scaled (ac) scores and (df) loadings plots for unsupervised principal component (PC) analysis of relative metabolite profile data of 374 kidney transplant recipients (grey dots), eight potential living kidney donors who were unable to donate a kidney (black dots), and 10 potential living kidney donors who donated a kidney (black triangles). This figure includes all PCs showing a percentage of variance explained above 1%. The substances highlighted in the bottom panes are metoprolol (M) and its glucuronidated variants (M-GLU), metoprolol acid (MA) and its hydroxylated (MA-O) and glucuronidated (MA-GLU) variants, hydroxymetoprolol (M-O) and its demethylated variant (M-DM-O), N-oxidized deisopropylmetoprolol (M-DI-O), and metoprolol benzoic acid (M-BA)
Fig. 3
Fig. 3
Summary of study findings. A more detailed overview of putative human metabolism of metoprolol based on this study’s findings, including structural formulas, is included as Fig. S17 in the electronic supplementary material

Similar articles

References

    1. Langreth R, Waldholz M. New era of personalized medicine: targeting drugs for each unique genetic profile. Oncologist. 1999;4:426–7. - PubMed
    1. Jørgensen JT. Twenty years with personalized medicine: past, present, and future of individualized pharmacotherapy. Oncologist. 2019;24:e432–40. - PMC - PubMed
    1. Chen R, Snyder M. Promise of personalized omics to precision medicine. Wiley Interdiscipl Rev Syst Biol Med. 2013;5:73–82. - PMC - PubMed
    1. Duarte JD, Cavallari LH. Pharmacogenetics to guide cardiovascular drug therapy. Nat Rev Cardiol. 2021;18:649–65. - PMC - PubMed
    1. Hasanzad M, Sarhangi N, Ehsani Chimeh S, et al. Precision medicine journey through omics approach. J Diabetes Metab Disord. 2021;21:881–8. - PMC - PubMed

LinkOut - more resources