Evidence map›Paper›PMID 17094780›Full record

Trial reportBritish journal of clinical pharmacology2007

The influence of CYP2D6 phenotype on the clinical response of nebivolol in patients with essential hypertension.

Jean Lefebvre, Luc Poirier, Paul Poirier, Jacques Turgeon, Yves Lacourciere

Open access · bronzeAbstract readClinical Trial
In one paragraph

Trial report in British journal of clinical pharmacology, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
3.0field-weighted citation impact, top 10% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

19 citing papers in PubMed, 1 synthesis or guideline pooled it, 66 citations in OpenAlex.

  1. Guideline
  2. Trial
  3. Review
  4. Review
  5. Article
  6. Review
  7. Influence ofFrontiers in medicine · 2021
    Article
  8. Pharmacogenetic factors affecting β-blocker metabolism and response.Expert opinion on drug metabolism & toxicology · 2020
    Review
  9. Article
  10. Article
  11. Pharmacogenomics And Hypertension: Current Insights.Pharmacogenomics and personalized medicine · 2019
    Review
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. Nebivolol in the treatment of chronic heart failure.Vascular health and risk management · 2007
    Review
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

5 authors at 3 institutions in 1 country.

Jean LefebvreHypertension Research Unit, CHUL Research Center, Faculty of Pharmacy, Laval University, Québec, Canada.
Luc Poirier
Paul Poirier
Jacques Turgeon
Yves Lacourciere
Montreal Heart Institute · CAUniversité de Montréal · CAUniversité Laval · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

what is already known about this subject* The variability in drug metabolism has been recognized as an important factor in the occurrence of adverse effects or lack of therapeutic efficacy. * The metabolism of the third-generation beta(1)-receptor antagonist nebivolol has been shown to be highly dependent on cytochrome P450 2D6 enzymatic activity in preclinical studies. WHAT THIS STUDY ADDS: * This paper assesses the role of a cytochrome P450 2D6 gene defect on the antihypertensive response to nebivolol in a clinical setting. * Despite significant differences in drug disposition, the chronic administration of nebivolol produced similar efficacy and tolerability in hypertensive patients either characterized as poor or extensive metabolizers of the drug. * The study offers insight into the relative contribution of nebivolol enantiomers in systemic blood pressure control.

aimsNebivolol is a beta(1)-adrenergic receptor antagonist with vasodilating properties used in the treatment of hypertension. It is administered as a racemic mixture (D- and L-nebivolol) and is highly metabolized by the cytochrome P-450 2D6 (CYP2D6). The purpose of this study was to determine the role of CYP2D6 phenotypes on the efficacy and tolerability of nebivolol during chronic administration to patients with essential hypertension.

methodsTwo hundred and eighteen patients were genotyped and phenotyped for CYP2D6 activity, allowing to find and match 14 poor metabolizers (PMs) with 23 extensive metabolizers (EMs). Patients took rac-nebivolol 5 mg daily for 12 weeks. Blood pressure (BP), heart rate, adverse events, plasma levels of the two enantiomers D- and L-nebivolol and their corresponding hydroxymetabolites were assessed.

resultsThe metabolic disposition of nebivolol was enantioselective and highly influenced by CYP2D6 phenotypes. Mean steady-state plasma concentrations of D- and L-nebivolol were 10- and 15-fold greater in PMs than in EMs, respectively (P < 0.0001). Despite these differences in the pharmacokinetics of nebivolol, EMs and PMs displayed similar BP responses. Mean reductions in sitting systolic and diastolic BPs were -11/-10 +/- 9/4 mmHg in EMs and -11/-9 +/- 10/5 mmHg in PMs. Side-effects were mild to moderate and not different between groups.

conclusionPolymorphisms in the gene encoding CYP2D6 significantly influenced the metabolism of nebivolol, but not its antihypertensive efficacy and tolerability. The similar clinical response between EMs and PMs could be explained by the contribution of active hydroxylated metabolites of nebivolol to its antihypertensive actions in EMs.

Indexed as

AdultAgedAntihypertensive AgentsBenzopyransBlood PressureCytochrome P-450 CYP2D6EthanolaminesFemaleGenotypeHeart RateHumansHypertensionMaleMiddle AgedNebivololPhenotypeAntihypertensive AgentsBenzopyransCytochrome P-450 CYP2D6EthanolaminesNebivololVasodilator Agents

Identifiers

PMID17094780
PMCPMC2000751
OpenAlexW1967788840

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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 OpenQuestion graph.