Clinical pharmacogenomics in action: design, assessment and implementation of a novel pharmacogenetic panel supporting drug selection for diseases of the central nervous system (CNS).

Adverse drug events Clinical pharmacogenomics Companion diagnostics Cytochromes DNA test Diseases of the central nervous system Dose adjustment Drug metabolization Precision medicine and personalized therapy Psychiatry

Journal

Journal of translational medicine
ISSN: 1479-5876
Titre abrégé: J Transl Med
Pays: England
ID NLM: 101190741

Informations de publication

Date de publication:
15 04 2021
Historique:
received: 12 01 2021
accepted: 02 04 2021
entrez: 16 4 2021
pubmed: 17 4 2021
medline: 15 5 2021
Statut: epublish

Résumé

Pharmacogenomics describes the link between gene variations (polymorphisms) and drug responses. In view of the implementation of precision medicine in personalized healthcare, pharmacogenetic tests have recently been introduced in the clinical practice. However, the translational aspects of such tests have been limited due to the lack of robust population-based evidence. In this paper we present a novel pharmacogenetic panel (iDNA Genomics-PGx-CNS or PGx-CNS), consisting of 24 single nucleotide polymorphisms (SNPs) on 13 genes involved in the signaling or/and the metabolism of 28 approved drugs currently administered to treat diseases of the Central Nervous System (CNS). We have tested the PGx-CNS panel on 501 patient-derived DNA samples from a southeastern European population and applied biostatistical analyses on the pharmacogenetic associations involving drug selection, dosing and the risk of adverse drug events (ADEs). Results reveal the occurrences of each SNP in the sample and a strong correlation with the European population. Nonlinear principal component analysis strongly indicates co-occurrences of certain variants. The metabolization efficiency (poor, intermediate, extensive, ultra-rapid) and the frequency of clinical useful pharmacogenetic, associations in the population (drug relevance), are also described, along with four exemplar clinical cases illustrating the strong potential of the PGx-CNS panel, as a companion diagnostic assay. It is noted that pharmacogenetic associations involving copy number variations (CNVs) or the HLA gene were not included in this analysis. Overall, results illustrate that the PGx-CNS panel is a valuable tool supporting therapeutic medical decisions, urging its broad clinical implementation.

Sections du résumé

BACKGROUND
Pharmacogenomics describes the link between gene variations (polymorphisms) and drug responses. In view of the implementation of precision medicine in personalized healthcare, pharmacogenetic tests have recently been introduced in the clinical practice. However, the translational aspects of such tests have been limited due to the lack of robust population-based evidence.
MATERIALS
In this paper we present a novel pharmacogenetic panel (iDNA Genomics-PGx-CNS or PGx-CNS), consisting of 24 single nucleotide polymorphisms (SNPs) on 13 genes involved in the signaling or/and the metabolism of 28 approved drugs currently administered to treat diseases of the Central Nervous System (CNS). We have tested the PGx-CNS panel on 501 patient-derived DNA samples from a southeastern European population and applied biostatistical analyses on the pharmacogenetic associations involving drug selection, dosing and the risk of adverse drug events (ADEs).
RESULTS
Results reveal the occurrences of each SNP in the sample and a strong correlation with the European population. Nonlinear principal component analysis strongly indicates co-occurrences of certain variants. The metabolization efficiency (poor, intermediate, extensive, ultra-rapid) and the frequency of clinical useful pharmacogenetic, associations in the population (drug relevance), are also described, along with four exemplar clinical cases illustrating the strong potential of the PGx-CNS panel, as a companion diagnostic assay. It is noted that pharmacogenetic associations involving copy number variations (CNVs) or the HLA gene were not included in this analysis.
CONCLUSIONS
Overall, results illustrate that the PGx-CNS panel is a valuable tool supporting therapeutic medical decisions, urging its broad clinical implementation.

Identifiants

pubmed: 33858454
doi: 10.1186/s12967-021-02816-3
pii: 10.1186/s12967-021-02816-3
pmc: PMC8048316
doi:

Substances chimiques

Pharmaceutical Preparations 0

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

151

Références

Zh Nevrol Psikhiatr Im S S Korsakova. 2019;119(9):131-135
pubmed: 31626230
NPJ Genom Med. 2018 Sep 11;3:26
pubmed: 30210808
Ageing Res Rev. 2020 Jan;57:100994
pubmed: 31765822
Eur J Hum Genet. 2020 Jan;28(1):88-94
pubmed: 31358955
J Clin Psychopharmacol. 2013 Feb;33(1):74-9
pubmed: 23277235
Pharmacogenomics. 2012 Mar;13(4):399-405
pubmed: 22379998
J Psychiatr Res. 2018 Jan;96:100-107
pubmed: 28992526
Brain Dev. 2009 Feb;31(2):114-30
pubmed: 18804930
Genet Med. 2017 Jan;19(1):69-76
pubmed: 27388693
Nature. 2020 Aug;584(7819):125-129
pubmed: 32528175
Drug Metab Pharmacokinet. 2013;28(1):28-37
pubmed: 23165865
Protein Eng. 1992 Apr;5(3):197-211
pubmed: 1409539
Hum Mutat. 2004 Jun;23(6):540-5
pubmed: 15146457
Nucleic Acids Res. 2012 Jan;40(Database issue):D1308-12
pubmed: 22140107
Curr Drug Metab. 2012 Oct;13(8):1196-204
pubmed: 22804232
Annu Rev Genomics Hum Genet. 2006;7:223-45
pubmed: 16948615
Sci Rep. 2015 Mar 19;5:9257
pubmed: 25788121
Nature. 2010 Sep 2;467(7311):52-8
pubmed: 20811451
Hum Biol. 2012 Feb;84(1):67-77
pubmed: 22452429
CNS Neurol Disord Drug Targets. 2013 Dec;12(8):1157-62
pubmed: 24040820
Pharmacogenomics. 2007 Jul;8(7):721-30
pubmed: 18240905
Neuropsychopharmacology. 2008 Jan;33(2):305-11
pubmed: 17429404
Drug Metab Rev. 2009;41(4):573-643
pubmed: 19645588
Clin Psychopharmacol Neurosci. 2018 Aug 31;16(3):349-357
pubmed: 30121988
Eur J Hum Genet. 2019 Jul;27(7):1143-1156
pubmed: 30824817
Ther Drug Monit. 2010 Dec;32(6):762-6
pubmed: 21068649
Front Psychiatry. 2019 Jun 20;10:432
pubmed: 31281270
Gene. 2015 Oct 15;571(1):1-8
pubmed: 26216302
Eur J Clin Pharmacol. 2016 Sep;72(9):1099-104
pubmed: 27353638
Ann Hum Genet. 2014 Jan;78(1):33-9
pubmed: 24359476
Nature. 1997 Jan 9;385(6612):165-8
pubmed: 8990120
Mayo Clin Proc. 2016 Jul;91(7):897-907
pubmed: 27289413
PLoS Comput Biol. 2018 Nov 29;14(11):e1006626
pubmed: 30496278
Brain Struct Funct. 2012 Oct;217(4):809-33
pubmed: 22286951
Pharmacogenet Genomics. 2010 Apr;20(4):277-81
pubmed: 20150829
Pharmgenomics Pers Med. 2011;4:123-36
pubmed: 23226058
Pharmacogenet Genomics. 2016 Feb;26(2):96-9
pubmed: 26551314
J Mol Diagn. 2017 Nov;19(6):905-920
pubmed: 28818680
J Hum Genet. 2006;51(10):857
pubmed: 16924387
Biochem Pharmacol. 2003 Feb 1;65(3):417-21
pubmed: 12527334
Schizophr Res. 2015 Sep;167(1-3):73-83
pubmed: 25749020
Transl Clin Pharmacol. 2020 Mar;28(1):34-42
pubmed: 32274379
Biochemistry. 1991 Apr 2;30(13):3247-55
pubmed: 2009263
Lancet Psychiatry. 2016 Jun;3(6):585-90
pubmed: 27133546
Mol Psychiatry. 1998 Jul;3(4):333-6
pubmed: 9702742
Eur J Clin Pharmacol. 2009 Feb;65(2):121-39
pubmed: 18958460
Pharmacogenomics J. 2013 Jun;13(3):272-9
pubmed: 22310352
FEBS J. 2007 Mar;274(5):1256-64
pubmed: 17263731
Synapse. 2005 Mar 15;55(4):242-51
pubmed: 15668911
Pharmacol Ther. 2007 Dec;116(3):496-526
pubmed: 18001838
Clin Pharmacol Ther. 2015 Aug;98(2):127-34
pubmed: 25974703
Drug Metab Dispos. 1997 Jan;25(1):1-4
pubmed: 9010622
Neuropsychiatr Dis Treat. 2018 Jan 08;14:225-230
pubmed: 29386895
Clin Pharmacol Ther. 2011 Mar;89(3):464-7
pubmed: 21270786
Eur J Pharmacol. 2014 Feb 5;724:211-8
pubmed: 24374199
Clin Pharmacol Ther. 2012 Oct;92(4):414-7
pubmed: 22992668
Aust Prescr. 2016 Jun;39(3):76-83
pubmed: 27346915
J Aging Res. 2013;2013:302163
pubmed: 24222852
Lik Sprava. 2012 Dec;(8):71-4
pubmed: 23786015
Nature. 2015 Oct 15;526(7573):343-50
pubmed: 26469045
CNS Drug Rev. 2001 Spring;7(1):1-24
pubmed: 11420570
Eur J Hum Genet. 2017 May;25(5):637-645
pubmed: 28272534
Pharmgenomics Pers Med. 2016 Jan 19;9:1-6
pubmed: 26855597
Front Psychiatry. 2019 Sep 20;10:690
pubmed: 31616328
Clin Pharmacol Ther. 2018 May;103(5):778-786
pubmed: 29460415
Brief Bioinform. 2019 Jan 18;20(1):317-329
pubmed: 30657888
Am J Psychiatry. 2018 Feb 1;175(2):189
pubmed: 29385827
Pharmacogenomics. 2014 Apr;15(5):655-65
pubmed: 24798722
Pharmgenomics Pers Med. 2015 May 27;8:111-4
pubmed: 26109874
BMC Med. 2019 Jun 14;17(1):110
pubmed: 31196067
Sci Rep. 2020 Jun 24;10(1):10288
pubmed: 32581296
Biomark Med. 2011 Dec;5(6):795-806
pubmed: 22103613
Immunology. 2018 Jun;154(2):204-219
pubmed: 29513402
J Biol Chem. 1990 May 15;265(14):7900-6
pubmed: 2159463
J Mol Neurosci. 2020 Mar;70(3):467-474
pubmed: 31768945
Psychol Methods. 2007 Sep;12(3):336-58
pubmed: 17784798
Transl Clin Pharmacol. 2020 Dec;28(4):189-198
pubmed: 33425802
Curr Drug Targets. 2006 Feb;7(2):177-85
pubmed: 16475959
Nucleic Acids Res. 2018 Jan 4;46(D1):D1074-D1082
pubmed: 29126136
Multivariate Behav Res. 1966 Apr 1;1(2):245-76
pubmed: 26828106
Front Pharmacol. 2018 Apr 05;9:305
pubmed: 29674966
Hum Genomics. 2019 Aug 27;13(1):39
pubmed: 31455423
Drug Metab Pharmacokinet. 2012;27(1):55-67
pubmed: 22185816
Front Pharmacol. 2020 Feb 27;11:78
pubmed: 32180714

Auteurs

E Bothos (E)

HybridStat Predictive Analytics, Athens, Greece.
Institute of Communications and Computer Systems, National Technical University of Athens, Athens, Greece.

E Ntoumou (E)

iDNA Genomics Private Company, Evrota 25, Kifissia, 145 64, Athens, Greece.

K Kelaidoni (K)

iDNA Genomics Private Company, Evrota 25, Kifissia, 145 64, Athens, Greece.

D Roukas (D)

Department of Psychiatry, Army Hospital (NIMTS), 417 Veterans, 115 21, Athens, Greece.

N Drakoulis (N)

Research Group of Clinical Pharmacology and Pharmacogenomics, Faculty of Pharmacy, School of Health Sciences, National and Kapodistrian University of Athens, Panepistimiopolis, 15771, Zografou, Greece.

M Papasavva (M)

Research Group of Clinical Pharmacology and Pharmacogenomics, Faculty of Pharmacy, School of Health Sciences, National and Kapodistrian University of Athens, Panepistimiopolis, 15771, Zografou, Greece.

F A Karakostis (FA)

Paleoanthropology, Senckenberg Centre for Human Evolution and Palaeoenvironment, Department of Geosciences, University of Tübingen, Tübingen, Germany.

P Moulos (P)

HybridStat Predictive Analytics, Athens, Greece.
Institute for Fundamental Biomedical Research, Biomedical Sciences Research Center 'Alexander Fleming', 34 Fleming str, 16672, Athens, Vari, Greece.

K Karakostis (K)

iDNA Genomics Private Company, Evrota 25, Kifissia, 145 64, Athens, Greece. chem898@yahoo.gr.

Articles similaires

[Redispensing of expensive oral anticancer medicines: a practical application].

Lisanne N van Merendonk, Kübra Akgöl, Bastiaan Nuijen
1.00
Humans Antineoplastic Agents Administration, Oral Drug Costs Counterfeit Drugs

Smoking Cessation and Incident Cardiovascular Disease.

Jun Hwan Cho, Seung Yong Shin, Hoseob Kim et al.
1.00
Humans Male Smoking Cessation Cardiovascular Diseases Female
Humans United States Aged Cross-Sectional Studies Medicare Part C
1.00
Humans Yoga Low Back Pain Female Male

Classifications MeSH