Psychotropics and Pharmacogenetics

Authors

  • Leandro Piedimonte Fundación CENIT para la Investigación en Neurociencias. Ciudad Autónoma de Buenos Aires, Argentina.
  • Helguero Flores Departamento de Psiquiatría y Neurociencias de la Universidad Maimónides.

DOI:

https://doi.org/10.47924/neurotarget202115

Keywords:

psychopharmacology, pharmacogenetics, pharmacogenomics, psychiatric disorders, bipolar disorder

Abstract

Mental illness represents an important health issue at both the individual and socioeconomic levels. This is partly due to currently suboptimal treatment options: existing psychotropic drugs, including antidepressants, antipsychotics and mood stabilizers, are effective only in a group of patients or produce partial responses and are usually associated with adverse effects. disabling agents that discourage adherence. Pharmacogenetics studies how genetic information impacts the response to drugs and their adverse effects, with the aim of providing personalized treatments, thus maximizing efficacy and tolerance. The first pharmacogenetic studies focused on candidate genes, previously known to be relevant to the pharmacokinetics and pharmacodynamics of psychotropic medications. The results were not conclusive. But some replicated candidates were identified and included as pharmacogenetic biomarkers in drug labeling and in some commercial kits. With the advent of the genomic revolution, it became possible to study genetic variation on an unprecedented scale, across the entire genome without the need for a priori hypotheses. This could lead to personalized prescribing of existing medications, thanks to new insights into the genetics of mental illness. Promising findings have been achieved, but methods for generating and analyzing genomic and sequencing data are still evolving. Future pharmacogenetic tests may consist of hundreds/thousands of polymorphisms across the genome or molecular pathways selected to take into account the complex interactions between variants of various genes.

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References

Patel V, Chisholm D, Parikh R, Charlson F J, Degenhardt L, Dua T, et al. Addressing the burden of mental, neurological, and substance use disorders: Key messages from disease controlpriorities, 3rd edition. The Lancet, 1672–1685; 2016.

Bloom, DE, Cafiero ET, Jan e-Llopis E, Abrahams-Gessel S, Bloom LR, Fathima S, et al. (2011). The global economic burden of non-communicable diseases. Geneva: World Economic Forum. Retrieved from Brandl EJ, Kennedy JL, & M€uller DJ Pharmacogenetics of antipsychotics. The Canadian Journal of Psychiatry. 2014; 59(2): 76–88.

Lieberman JA, Stroup TS, McEvoy J P, Swartz M S, Rosenheck RA, Perkins DO, et al. Effectiveness of antipsychotic drugs in patients with chronic schizophrenia. The New England Journal of Medicine. 2005; 353(12): 1209–1223.

Rush AJ, Trivedi MH, Wisniewski SR, Nierenberg AA, Stewart JW, Warden D, et al. Acute and longer-term outcomes in depressed outpatients requiring one or several treatment steps: A STAR*D report. The American Journal of Psychiatry. 2006; 163(11): 1905–1917.

Thase ME. STEP-BD and bipolar depression: What have we learned? Current Psychiatry Reports. 2007; 9(6): 497–503.

Cacabelos R, Martinez-Bouza R, Carril JC, Fernandez-Novoa L, Lombardi V, Carrera I, et al. Genomics and pharmacogenomics of brain disorders. Current Pharmaceutical Biotechnology. 2012; 13(5): 674–725.

Zhang F, & Lupski JR. Non-coding genetic variants in human disease. Human Molecular Genetics. 2015; 24(R1): R102–R110.

Reich DE, & Lander ES. On the allelic spectrum of human disease. Trends in Genetics: TIG. 2001; 17(9): 502–510.

McCarthy S, Das S, Kretzschmar W, Delaneau O, Wood AR, Teumer A, et al. A reference panel of 64,976 haplotypes for genotype imputation. Nature Genetics. 2016; 48(10): 1279–1283.

Porcelli S, Fabbri C, Spina E, Serretti A, & De Ronchi, D. Genetic polymorphisms of cytochrome P450 enzymes and antidepressant metabolism. Expert Opinion on Drug Metabolism & Toxicology. 2011; 7(9): 1101–1115.

Porcelli S, Drago A, Fabbri C, & Serretti A. Mechanisms of antidepressant action: An integrated dopaminergic perspective. Progress in Neuro-Psychopharmacology & Biological Psychiatry. 2011; 35(7): 1532–1543.

Fabbri C, Crisafulli C, Calabró M, Spina E, & Serretti A. Progress and prospects in pharmacogenetics of antidepressant drugs. Expert Opinion on Drug Metabolism & Toxicology. 2016; 12(10): 1157–1168.

Breitenstein B, Scheuer S, Pfister H, Uhr M, Lucae S, Holsboer F, et al. The clinical application of ABCB1 genotyping in antidepressant treatment: A pilot study. CNS Spectrums. 2014; 19(2): 165–175.

Nutt D, Demyttenaere K, Janka Z, Aarre T, Bourin M, Canonico P L, et al. The other face of epression, reduced positive affect: The role of catecholamines in causation and cure. Journal of Psychopharmacology (Oxford, England). 2007; 21(5): 461–471.

Kato M, & Serretti A. Review and meta-analysis of antidepressant pharmacogenetic findings in major depressive disorder. Molecular Psychiatry. 2010; 15(5): 473–500.

Porcelli S, Fabbri C,& Serretti A. Meta-analysis of serotonin transporter gene promoter polymorphism (5-HTTLPR) association with antidepressant efficacy. European Neuropsychopharmacology: The Journal of the European College of Neuropsychopharmacology. 2012; 22(4): 239–258.

Fabbri C, Di Girolamo G, & Serretti A. Pharmacogenetics of antidepressant drugs: An update after almost 20 years of research. American Journal of Medical Genetics Part B: Neuropsychiatric Genetics. 2013; 162(6): 487–520.

Niitsu T, Fabbri C, Bentini F, & Serretti A. Pharmacogenetics in major depression: A comprehensive meta-analysis. Progress in Neuro-Psychopharmacology & Biological Psychiatry. 2013; 45: 183–194.

McMahon F J, Buervenich S, Charney D, Lipsky R, Rush A J, Wilson A F, et al. Variation in the gene encoding the serotonin 2A receptor is associated with outcome of antidepressant treatment. American Journal of Human Genetics. 2006; 78(5): 804–814.

Baune BT, Hohoff C, Roehrs T, Deckert J, Arolt V, & Domschke K. Serotonin receptor 1A_1019C/ G variant: Impact on antidepressant pharmacoresponse in melancholic depression? Neuroscience Letters. 2008; 436(2): 111–115.

Fabbri C, Porcelli S, & Serretti A. From pharmacogenetics to pharmacogenomics: The way toward the personalization of antidepressant treatment. Canadian Journal of Psychiatry. Revue Canadienne de Psychiatrie. 2014; 59(2): 62–75.

Perlis R H, Adams D H, Fijal B, Sutton VK, Farmen M, Breier A, et al. Genetic association study depression. The Journal of Clinical Psychiatry. 2010; 71(5): 599–605.

Glatt C E, & Lee FS. Common polymorphisms in the age of research domain criteria (RDoC): Integration and translation. Biological Psychiatry. 2016; 79(1): 25–31.

Govindarajan A, Rao BSS, Nair D, Trinh M, Mawjee N, Tonegawa S, et al. Transgenic brain-derived neurotrophic factor expression causes both anxiogenic and antidepressant effects. Proceedings of the National Academy of Sciences of the United States of America. 2006; 103(35): 13208–13213.

Stamm TJ, Rampp C, Wiethoff K, Stingl J, Mössner R, O Malley G, et al. The FKBP5 polymorphism rs1360780 influences the effect of an algorithm-based antidepressant treatment and is associated with remission in patients with major depression. Journal of Psychopharmacology (Oxford, England). 2016; 30(1): 40–47.

Li CI, Samuels DC, Zhao YY, Shyr Y, & Guo Y. Power and sample size calculations for high throughput sequencing-based experiments. Briefings in Bioinformatics. https://doi.org/10.1093/ bib/bbx061. Epub ahead of print. 2017.

GENDEP Investigators, MARS Investigators, STAR*D Investigators, Wolfgang M, Mors O, Hauser J, et al. Common genetic variation and antidepressant efficacy in major depressive disorder: A meta-analysis of three genome-wide pharmacogenetic studies. The American Journal of Psychiatry. 2013; 170(2): 207–217.

Tansey KE, Guipponi M, Perroud N, Bondolfi G, Domenici E, Evans D, et al. Genetic predictors of response to serotonergic and noradrenergic antidepressants in major depressive disorder: A genome-wide analysis of individual-level data and a meta-analysis. PLoS Medicine. 2012; 9(10): e1001326.

Biernacka J M, Sangkuhl K, Jenkins G, Whaley RM, Barman P, Batzler A, et al. The International SSRI Pharmacogenomics Consortium (ISPC): A genomewide association study of antidepressant treatment response. Translational Psychiatry. 2016; 6(11): e937.

Myung W, Kim J, Lim SW, Shim S, Won HH, Kim S, et al. A genome-wide association study of antidepressant response in Koreans. Translational Psychiatry. 2015; 5(11): e672.

Adkins DE, Clark SL, Aberg K, Hettema J M, Buksza´r J, McClay J L, et al. Genome-wide pharmacogenomic study of citalopram-induced side effects in STAR*D. Translational Psychiatry. 2012; 2(7): e129.

Clark S L, Adkins DE, Aberg K, Hettema JM, McClay JL, Souza RP, et al. Pharmacogenomic study of side-effects for antidepressant treatment options in STAR*D. Psychological Medicine. 2012; 42(6): 1151–1162.

Fabbri C, Crisafulli C, Gurwitz D, Stingl J, Calati R, Albani D, et al. Neuronal cell adhesion genes and antidepressant response in three independent samples. The Pharmacogenomics Journal. 2015; 15(6): 538–548.

Cocchi E, Fabbri C, Han C, Lee SJ, Patkar AA, Masand PS, et al. Genome-wide association study of antidepressant response: Involvement of the inorganic cation transmembrane transporter activity pathway. BMC Psychiatry. 2016; 16(1): 106.

Hunter AM, Leuchter A F, Power RA, Muthen B, McGrath PJ, Lewis CM, et al. A genome-wide association study of a sustained pattern of antidepressant response. Journal of Psychiatric Research. 2013; 47(9): 1157–1165.

Fabbri C, Marsano A, Albani D, Chierchia A, Calati R, Drago A, et al. PPP3CC gene: A putative modulator of antidepressant response through the B-cell receptor signaling pathway. The Pharmacogenomics Journal. 2014; 14(5): 463–472.

Center for Drug Evaluation and Research. Genomics—Table of pharmacogenomic biomarkers in drug labeling. 2017.

Whirl-Carrillo M, McDonagh EM, Hebert JM, Gong L, Sangkuhl K., Thorn CF, et al. Pharmacogenomics knowledge for personalized medicine. Clinical Pharmacology and Therapeutics. 2012; 92(4): 414–417.

Goes FS. Genetics of bipolar disorder. Psychiatric Clinics of North America. 2016; 39(1): 139–155.

Budde M, Degner D, Brockm€oller J, Schulze TG. Pharmacogenomic aspects of bipolar disorder: An update. European Neuropsychopharmacology: The Journal of the European College of Neuropsychopharmacology. 2017; 27(6): 599–609.

Pisanu C, Melis C, Squassina A. Lithium pharmacogenetics: Where do we stand? Drug Development Research. 2016; 77(7): 368–373.

Rybakowski JK, Suwalska A, Skibinska M, Dmitrzak-Weglarz M, Leszczynska-Rodziewicz A, Hauser J. Response to lithium prophylaxis: Interaction between serotonin transporter and BDNF genes. American Journal of Medical Genetics. Part B, Neuropsychiatric Genetics: The Official Publication of the International Society of Psychiatric Genetics. 2007; 144B(6): 820–823.

Rybakowski JK. Genetic influences on response to mood stabilizers in bipolar disorder: Current status of knowledge. CNS Drugs. 2013; 27(3): 165–173.

Rybakowski JK, Abramowicz M, Szczepankiewicz A, Michalak M, HauserJ, Czekalski S. The association of glycogen synthase kinase-3beta (GSK-3β) gene polymorphism with kidney function in long-term lithium-treated bipolar patients. International Journal of Bipolar Disorders. 2013; 1(1): 8.

Chen CH, Lee CS, Lee MTM, Ouyang WC, Chen CC, Chong MY, et al. Variant GADL1 and response to lithium therapy in bipolar I disorder. The New England Journal of Medicine. 2014; 370(2): 119–128.

Perlis RH, Smoller JW, Ferreira MAR, McQuillin A, Bass N, Lawrence J, et al. A genomewide association study of response to lithium for prevention of recurrence in bipolar disorder. The American Journal of Psychiatry. 2009; 166(6): 718–725.

Published

2021-07-01

How to Cite

1.
Piedimonte L, Flores Helguero D. Psychotropics and Pharmacogenetics. NeuroTarget [Internet]. 2021 Jul. 1 [cited 2024 Nov. 21];15(2):29-51. Available from: https://neurotarget.com/index.php/nt/article/view/15