Pharmacodynamic genetic polymorphisms affect adverse drug reactions of haloperidol in patients with alcohol-use disorder

Mikhail Sergeevich Zastrozhin,1,2 Vadim Markovich Brodyansky,3 Valentin Yurievich Skryabin,4 Elena Anatolievna Grishina,5 Dmitry Vladimirovich Ivashchenko,5 Kristina Anatolievna Ryzhikova,5 Ludmila Mikhaylovna Savchenko,1 Alexander Olegovich Kibitov,3 Evgeny Alekseevich Bryun,1,4 Dmitry Alekseevich Sychev6 1Department of Addictology, Russian Medical Academy of Continuous Professional Education of the Ministry of Health of the Russian Federation, Moscow, Russia; 2Moscow Research and Practical Centre on Addictions of the Moscow Department of Healthcare, Center for the Prevention of Dependent Behavior, Moscow, Russia; 3Federal Medical Research Centre of Psychiatry and Addictology, Laboratory of Molecular Genetics, Moscow, Russia; 4Moscow Research and Practical Centre on Addictions of the Moscow Department of Healthcare, Department of Addictology, Moscow, Russia; 5Russian Medical Academy of Continuous Professional Education of the Ministry of Health of the Russian Federation, Research Centre, Moscow, Russia; 6Russian Medical Academy of Continuous Professional Education of the Ministry of Health of the Russian Federation, Department of Clinical Pharmacology and Therapy, Moscow, Russia Background: Antipsychotic action of haloperidol is due to blockade of D2 receptors in the mesolimbic dopamine pathway, while the adverse drug reactions are associated with striatal D2 receptor blockade. Contradictory data concerning the effects of genetic polymorphisms of genes encoding these receptors and associated structures (catechol-O-methyltransferase [COMT], glycine transporter and gene encoding the density of D2 receptors on the neuronal membrane) are described.Objective: The objectives of this study were to evaluate the correlation between DRD2, SLC6A3 (DAT) and COMT genetic polymorphisms and to investigate their effect on the development of adverse drug reactions in patients with alcohol-use disorder who received haloperidol.Patients and methods: The study included 64 male patients (average age 41.38 ± 10.14 years, median age 40 years, lower quintile [LQ] 35 years, upper quintile [UQ] 49 years). Bio-Rad CFX Manager™ software and “SNP-Screen” sets of “Syntol” (Russia) were used to determine polymorphisms rs4680, rs1800497, rs1124493, rs2242592, rs2298826 and rs2863170. In every “SNP-Screen” set, two allele-specific hybridizations were used, which allowed to determine two alleles of studied polymorphism separately on two fluorescence channels.Results: Results of this study detected a statistically significant difference in the adverse drug reaction intensity in patients receiving haloperidol with genotypes 9/10 and 10/10 of polymorphic marker SLC6A3 rs28363170. In patients receiving haloperidol in tablets, the increases in the UKU Side-Effect Rating Scale (UKU) score of 9.96 ± 2.24 (10/10) versus 13 ± 2.37 (9/10; p < 0.001) and in the Simpson-Angus Scale (SAS) score of 5.04 ± 1.59 (10/10) versus 6.41 ± 1.33 (9/10; p = 0.006) were revealed.Conclusion: Polymorphism of the SCL6A3 gene can affect the safety of haloperidol, and this should be taken into account during the choice of drug and its dosage regimen. Keywords: haloperidol, pharmacogenetics, DRD2, COMT, DAT, alcohol addiction, alcohol-use disorde

miR-137 and miR-491 Negatively Regulate Dopamine Transporter Expression and Function in Neural Cells

The dopamine transporter (DAT) is involved in the regulation of extracellular dopamine levels. A 40-bp variable-number tandem repeat (VNTR) polymorphism in the 3'-untranslated region (3'UTR) of the DAT has been reported to be associated with various phenotypes that are involved in the aberrant regulation of dopaminergic neurotransmission. In the present study, we found that miR-137 and miR-491 caused a marked reduction of DAT expression, thereby influencing neuronal dopamine transport. Moreover, the regulation of miR-137 and miR-491 on this transport disappeared after the DAT was silenced. The miR-491 seed region that is located on the VNTR sequence in the 3'UTR of the DAT and the regulatory effect of miR-491 on the DAT depended on the VNTR copy-number. These data indicate that miR-137 and miR-491 regulate DAT expression and dopamine transport at the post-transcriptional level, suggesting that microRNA may be targeted for the treatment of diseases associated with DAT dysfunction.National Postdoctoral Science Foundation, China [2014M552219]; Natural Science Foundation of Guangdong Province, China [2015A030313889, 2015A030401013, 2014A030313709, 2014A030313710]; Science and Technology Planning Project of Shenzhen Municipality, China [ZDSYS201504301045406, JCYJ20150403110829621, JCYJ20150403091443301, JCYJ20140415162542975, JCYJ20140415162338855, JCYJ20140828163634004, JCYJ20120616144352139]; Health and Family Planning Commission Project of Shenzhen Municipality, China [201401026]SCI(E)PubMed中国科技核心期刊(ISTIC)[email protected]; [email protected]

Nonstandard Errors

In statistics, samples are drawn from a population in a data-generating process (DGP). Standard errors measure the uncertainty in estimates of population parameters. In science, evidence is generated to test hypotheses in an evidence-generating process (EGP). We claim that EGP variation across researchers adds uncertainty—nonstandard errors (NSEs). We study NSEs by letting 164 teams test the same hypotheses on the same data. NSEs turn out to be sizable, but smaller for more reproducible or higher rated research. Adding peer-review stages reduces NSEs. We further find that this type of uncertainty is underestimated by participants