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Therapy response prediction in major depressive disorder: current and novel genomic markers influencing pharmacokinetics and pharmacodynamics.
Shalimova, Alena; Babasieva, Viktoria; Chubarev, Vladimir N; Tarasov, Vadim V; Schiöth, Helgi B; Mwinyi, Jessica.
Affiliation
  • Shalimova A; Department of Neuroscience, Functional Pharmacology, University of Uppsala, Uppsala, 751 24, Sweden.
  • Babasieva V; Department of Pharmacology, Institute of Pharmacy, I. M. Sechenov First Moscow State Medical University, Moscow, 119991, Russia.
  • Chubarev VN; Department of Neuroscience, Functional Pharmacology, University of Uppsala, Uppsala, 751 24, Sweden.
  • Tarasov VV; Department of Pharmacology, Institute of Pharmacy, I. M. Sechenov First Moscow State Medical University, Moscow, 119991, Russia.
  • Schiöth HB; Department of Pharmacology, Institute of Pharmacy, I. M. Sechenov First Moscow State Medical University, Moscow, 119991, Russia.
  • Mwinyi J; Department of Pharmacology, Institute of Pharmacy, I. M. Sechenov First Moscow State Medical University, Moscow, 119991, Russia.
Pharmacogenomics ; 22(8): 485-503, 2021 06.
Article in En | MEDLINE | ID: mdl-34018822
ABSTRACT
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.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Genetic Markers / Genome / Depressive Disorder, Major / Antidepressive Agents Type of study: Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: Pharmacogenomics Journal subject: FARMACOLOGIA / GENETICA MEDICA Year: 2021 Document type: Article Affiliation country:

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Genetic Markers / Genome / Depressive Disorder, Major / Antidepressive Agents Type of study: Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: Pharmacogenomics Journal subject: FARMACOLOGIA / GENETICA MEDICA Year: 2021 Document type: Article Affiliation country: