Evidence map›Paper›PMID 42292851›Full record

ArticleFrontiers in pharmacology2026

Very strong correlations of metoprolol- and solanidine-derived metabolic ratios in a real-world cohort with a stable metoprolol drug regimen.

Jens Andreas Sarömba, Berkan Kurt, Alessandra Antwerpen, Konstantin Rex, Anna Giacin, Justus Bornemann, Kaan Aygar, Marieke Mertens, Dirk Müller-Wieland, Edgar Dahl and 8 more

Abstract read
In one paragraph

Article in Frontiers in pharmacology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

18 authors.

Jens Andreas SarömbaInstitute of Clinical Pharmacology, University Hospital RWTH Aachen, Aachen, Germany.
Berkan KurtDepartment of Internal Medicine I - Cardiology, University Hospital Aachen, RWTH Aachen University, Aachen, Germany.
Alessandra AntwerpenDepartment of Internal Medicine I - Cardiology, University Hospital Aachen, RWTH Aachen University, Aachen, Germany.
Konstantin RexDepartment of Internal Medicine I - Cardiology, University Hospital Aachen, RWTH Aachen University, Aachen, Germany.
Anna GiacinDepartment of Internal Medicine I - Cardiology, University Hospital Aachen, RWTH Aachen University, Aachen, Germany.
Justus BornemannDepartment of Internal Medicine I - Cardiology, University Hospital Aachen, RWTH Aachen University, Aachen, Germany.
Kaan AygarDepartment of Internal Medicine I - Cardiology, University Hospital Aachen, RWTH Aachen University, Aachen, Germany.
Marieke MertensDepartment of Internal Medicine I - Cardiology, University Hospital Aachen, RWTH Aachen University, Aachen, Germany.
Dirk Müller-WielandDepartment of Internal Medicine I - Cardiology, University Hospital Aachen, RWTH Aachen University, Aachen, Germany.
Edgar DahlRWTH cBMB at the Institute of Pathology, Medical Faculty of RWTH Aachen University, Aachen, Germany.
Nikolaus MarxDepartment of Internal Medicine I - Cardiology, University Hospital Aachen, RWTH Aachen University, Aachen, Germany.
Florian KahlesDepartment of Internal Medicine I - Cardiology, University Hospital Aachen, RWTH Aachen University, Aachen, Germany.
Justyna WozniakInstitute of Clinical Pharmacology, University Hospital RWTH Aachen, Aachen, Germany.
Jule NeißInstitute of Clinical Pharmacology, University Hospital RWTH Aachen, Aachen, Germany.
Dominik KrzoskaInstitute of Clinical Pharmacology, University Hospital RWTH Aachen, Aachen, Germany.
Julia C StinglInstitute of Clinical Pharmacology, University Hospital RWTH Aachen, Aachen, Germany.
Julian Peter MüllerInstitute of Clinical Pharmacology, University Hospital RWTH Aachen, Aachen, Germany.
Katja S JustInstitute of Clinical Pharmacology, University Hospital RWTH Aachen, Aachen, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Individual CYP2D6 activity can be assessed with minimal invasiveness by genotyping and solanidine-derived phenotyping. In this study, we aimed to compare the two methods to predict the metabolism of the CYP2D6 substrate metoprolol in a cohort of the "All-comer" Registry for ImmunocArdiology aNd cardiometabolic disease Aachen (ARIANA) study (DRKS00025716; https://drks.de/search/de/trial/DRKS00025716) with a stable metoprolol regimen. Methods: In total, N = 48 patients were clinically assessed, and their medical records were analyzed for CYP2D6-interfering drugs. Plasma samples collected in a fasted state were analyzed using liquid chromatography-tandem mass spectrometry (LC-MS). Genotyping was performed using the Infinium Global Diversity Array with Enhanced PGx. CYP2D6 activity scores and metabolic ratios (MRs) of solanidine and metoprolol were calculated. Results: N = 47 patients with detectable metoprolol plasma concentrations were included in the primary analysis. The MRs ln MR (OH-solanidine/solanidine) and ln MR (3,4-seco solanidine-3,4-dioic acid/solanidine) correlated very strongly (r = 0.907 and r = 0.945) with the ln MR (OH-metoprolol/metoprolol). There was a strong negative correlation of both solanidine-derived MRs with metoprolol trough levels (r = -0.625 and r = -0.703). The genotyping-derived CYP2D6 activity score showed weaker correlations in all comparisons, even when adjusting for covariates. Discussion: Solanidine-derived phenotyping showed stronger correlations to the measured CYP2D6 activity and metoprolol trough levels than the genotyping-derived activity scores. More research is needed in order to implement solanidine-derived dosing recommendations into clinical practice.

Indexed as

biomarkersCYP2D6liquid chromatography–mass spectrometrymetoprololpharmacogenomicssolanidine

Identifiers

PMID42292851
PMCPMC13260174

What Socratic holds

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.