Therapeutic Drug Monitoring of Rivastigmine and Donepezil Under Consideration of CYP2D6 Genotype-Dependent Metabolism of Donepezil.
Alzheimer’s disease
cytochrome P-450 enzymes
genetic polymorphism
mass spectrometry
therapeutic drug monitoring
Journal
Drug design, development and therapy
ISSN: 1177-8881
Titre abrégé: Drug Des Devel Ther
Pays: New Zealand
ID NLM: 101475745
Informations de publication
Date de publication:
2020
2020
Historique:
received:
25
01
2020
accepted:
26
06
2020
entrez:
28
8
2020
pubmed:
28
8
2020
medline:
2
7
2021
Statut:
epublish
Résumé
The efficacy of acetylcholinesterase inhibitors (AChE-I) might depend on blood concentration. While rivastigmine metabolism is independent of the cytochrome P450 system, its isoenzymes, especially CYP2D6, metabolize donepezil. We investigated correlations between clinical efficacy and serum concentrations of rivastigmine and donepezil under special consideration of Serum concentrations of donepezil and rivastigmine were measured by liquid chromatography - tandem mass spectrometry (LC-MS/MS). Real-time quantitative polymerase chain reaction (PCR) and allele-specific PCR were performed to assess Patients treated with rivastigmine (n=28) or donepezil (n=48) were included in the study. Both gene dose and metabolism type significantly predicted the level of donepezil serum concentration (p=0.019 and p=0.013, respectively). In the rivastigmine group, changes of the word list delayed recall subtest before treatment and under stable medication were significantly associated with rivastigmine serum levels (β=0.465; p=0.018). Drug serum concentrations were outside the recommended range in a substantial percentage of participants, which might have contributed to poor correlations between changes in cognitive measures and drug concentrations. Donepezil serum concentrations significantly depended on Testing AChE-I serum concentration should be considered in patients without clinical response to treatment or those with severe side effects. Patients with donepezil drug levels outside the recommended range might additionally profit from
Sections du résumé
BACKGROUND
BACKGROUND
The efficacy of acetylcholinesterase inhibitors (AChE-I) might depend on blood concentration. While rivastigmine metabolism is independent of the cytochrome P450 system, its isoenzymes, especially CYP2D6, metabolize donepezil.
OBJECTIVE
OBJECTIVE
We investigated correlations between clinical efficacy and serum concentrations of rivastigmine and donepezil under special consideration of
METHODS
METHODS
Serum concentrations of donepezil and rivastigmine were measured by liquid chromatography - tandem mass spectrometry (LC-MS/MS). Real-time quantitative polymerase chain reaction (PCR) and allele-specific PCR were performed to assess
RESULTS
RESULTS
Patients treated with rivastigmine (n=28) or donepezil (n=48) were included in the study. Both gene dose and metabolism type significantly predicted the level of donepezil serum concentration (p=0.019 and p=0.013, respectively). In the rivastigmine group, changes of the word list delayed recall subtest before treatment and under stable medication were significantly associated with rivastigmine serum levels (β=0.465; p=0.018). Drug serum concentrations were outside the recommended range in a substantial percentage of participants, which might have contributed to poor correlations between changes in cognitive measures and drug concentrations. Donepezil serum concentrations significantly depended on
CONCLUSION
CONCLUSIONS
Testing AChE-I serum concentration should be considered in patients without clinical response to treatment or those with severe side effects. Patients with donepezil drug levels outside the recommended range might additionally profit from
Identifiants
pubmed: 32848364
doi: 10.2147/DDDT.S247259
pii: 247259
pmc: PMC7431170
doi:
Substances chimiques
Cholinesterase Inhibitors
0
Donepezil
8SSC91326P
Cytochrome P-450 CYP2D6
EC 1.14.14.1
Rivastigmine
PKI06M3IW0
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
3251-3262Informations de copyright
© 2020 Ortner et al.
Déclaration de conflit d'intérêts
Outside the submitted work, Dr Grimmer reports having received consulting fees from Actelion, Biogen, Eli Lilly, Iqvia/Quintiles; MSD; Novartis, Quintiles, Roche Pharma, lecture fees from Biogen, Lilly, Parexel, Roche Pharma, and grants to his institution from Actelion and PreDemTech. Outside the submitted work, Dr Diehl-Schmid reports having received lecture fees from Novartis. Outside the submitted work, Prof. Steimer reports having received consulting fees, support or lecture fees from Roche Diagnostics, Abbott, Siemens, Microgenics, Thermo Fisher. Dr Katharina Buerger is the advisory board member for Biogen GmbH Germany, and acts as an advisor to Ernst&Young Consulting, during the conduct of the study. Miss Marion Stange reports grants from Novartis, during the conduct of the study. The authors report no other conflicts of interest in this work.
Références
Arch Neurol. 1991 Mar;48(3):278-81
pubmed: 2001185
Br J Clin Pharmacol. 2014 Jul;78(1):135-44
pubmed: 24433464
Neurology. 2001 May 8;56(9):1154-66
pubmed: 11342679
Clin Chem. 2003 Apr;49(4):542-51
pubmed: 12651805
Pharmacogenetics. 2001 Oct;11(7):573-85
pubmed: 11668217
Pharmacopsychiatry. 2018 Jan;51(1-02):9-62
pubmed: 28910830
J Clin Pharmacol. 2001 Oct;41(10):1082-90
pubmed: 11583476
J Clin Psychopharmacol. 2013 Jun;33(3):351-5
pubmed: 23609381
J Alzheimers Dis. 2016 Nov 19;55(2):539-549
pubmed: 27716659
J Psychiatr Res. 1975 Nov;12(3):189-98
pubmed: 1202204
J Chromatogr B Analyt Technol Biomed Life Sci. 2012 Jan 15;881-882:1-11
pubmed: 22204871
Curr Med Res Opin. 2006 Mar;22(3):483-94
pubmed: 16574032
Neurology. 1989 Sep;39(9):1159-65
pubmed: 2771064
Eur J Clin Pharmacol. 2006 Sep;62(9):721-6
pubmed: 16845507
Eur J Clin Pharmacol. 2016 Jun;72(6):711-7
pubmed: 26952092
J Pharmacol Sci. 2015 Nov;129(3):188-95
pubmed: 26603528
J Am Geriatr Soc. 1993 Nov;41(11):1235-40
pubmed: 8227899
Biol Psychiatry. 2015 Apr 15;77(8):704-10
pubmed: 24613195
Annu Rev Pharmacol Toxicol. 1997;37:269-96
pubmed: 9131254
Clin Pharmacol Ther. 2008 Jan;83(1):106-14
pubmed: 17522596
Can J Neurol Sci. 2012 Nov;39(6 Suppl 5):S1-8
pubmed: 23073396
Front Pharmacol. 2020 May 21;11:691
pubmed: 32508640
Eur J Clin Pharmacol. 2011 Jan;67(1):47-54
pubmed: 20931330
Br J Clin Pharmacol. 1998 Nov;46 Suppl 1:1-6
pubmed: 9839758
Clin Chem. 2004 Sep;50(9):1623-33
pubmed: 15205367
J Alzheimers Dis. 2012;31(4):857-64
pubmed: 22751168
Clin Pharmacol Ther. 2013 May;93(5):402-8
pubmed: 23486447
Pharmacogenet Genomics. 2011 Apr;21(4):225-30
pubmed: 20859244
J Pharmacol Exp Ther. 1995 Jul;274(1):516-20
pubmed: 7616439
J Neurol Sci. 2014 Aug 15;343(1-2):15-22
pubmed: 24909950
Pharmacogenetics. 1998 Feb;8(1):15-26
pubmed: 9511177
Arch Intern Med. 1998 May 11;158(9):1021-31
pubmed: 9588436
Kaohsiung J Med Sci. 2017 Jun;33(6):277-283
pubmed: 28601231
Nature. 1988 Feb 4;331(6155):442-6
pubmed: 3123997
Ther Drug Monit. 2015 Jun;37(3):353-61
pubmed: 25384119
Clin Pharmacol Ther. 2004 Aug;76(2):128-38
pubmed: 15289790
Neuropsychiatr Dis Treat. 2007 Jun;3(3):303-33
pubmed: 19300564
Alzheimers Dement. 2011 May;7(3):263-9
pubmed: 21514250
J Neurol Sci. 2016 Jul 15;366:184-190
pubmed: 27288803
Dement Geriatr Cogn Disord. 2014;37(1-2):58-70
pubmed: 24107805
Am J Hum Genet. 1997 Feb;60(2):284-95
pubmed: 9012401