Therapy response prediction in major depressive disorder: current and novel genomic markers influencing pharmacokinetics and pharmacodynamics.


Journal

Pharmacogenomics
ISSN: 1744-8042
Titre abrégé: Pharmacogenomics
Pays: England
ID NLM: 100897350

Informations de publication

Date de publication:
06 2021
Historique:
pubmed: 22 5 2021
medline: 2 2 2022
entrez: 21 5 2021
Statut: ppublish

Résumé

Major depressive disorder is connected with high rates of functional disability and mortality. About a third of the patients are at risk of therapy failure. Several pharmacogenetic markers especially located in CYP450 genes such as CYP2D6 or CYP2C19 are of relevance for therapy outcome prediction in major depressive disorder but a further optimization of predictive tools is warranted. The article summarizes the current knowledge on pharmacogenetic variants, therapy effects and side effects of important antidepressive therapeutics, and sheds light on new methodological approaches for therapy response estimation based on genetic markers with relevance for pharmacokinetics, pharmacodynamics and disease pathology identified in genome-wide association study analyses, highlighting polygenic risk score analysis as a tool for further optimization of individualized therapy outcome prediction.

Identifiants

pubmed: 34018822
doi: 10.2217/pgs-2020-0157
doi:

Substances chimiques

Antidepressive Agents 0
Genetic Markers 0
Cytochrome P-450 Enzyme System 9035-51-2

Types de publication

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

Langues

eng

Sous-ensembles de citation

IM

Pagination

485-503

Auteurs

Alena Shalimova (A)

Department of Neuroscience, Functional Pharmacology, University of Uppsala, Uppsala, 751 24, Sweden.
Department of Pharmacology, Institute of Pharmacy, I. M. Sechenov First Moscow State Medical University, Moscow, 119991, Russia.

Viktoria Babasieva (V)

Department of Neuroscience, Functional Pharmacology, University of Uppsala, Uppsala, 751 24, Sweden.
Department of Pharmacology, Institute of Pharmacy, I. M. Sechenov First Moscow State Medical University, Moscow, 119991, Russia.

Vladimir N Chubarev (VN)

Department of Pharmacology, Institute of Pharmacy, I. M. Sechenov First Moscow State Medical University, Moscow, 119991, Russia.

Vadim V Tarasov (VV)

Department of Pharmacology, Institute of Pharmacy, I. M. Sechenov First Moscow State Medical University, Moscow, 119991, Russia.
Institute of Translational Medicine & Biotechnology, I. M. Sechenov First Moscow State Medical University, Moscow, 119991, Russia.

Helgi B Schiöth (HB)

Department of Neuroscience, Functional Pharmacology, University of Uppsala, Uppsala, 751 24, Sweden.
Institute of Translational Medicine & Biotechnology, I. M. Sechenov First Moscow State Medical University, Moscow, 119991, Russia.

Jessica Mwinyi (J)

Department of Neuroscience, Functional Pharmacology, University of Uppsala, Uppsala, 751 24, Sweden.

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Classifications MeSH