Genetic Markers as Risk Factors for the Development of Impulsive-Compulsive Behaviors in Patients with Parkinson's Disease Receiving Dopaminergic Therapy.

Impulsive-compulsive and related behavioral disorders (ICD) are drug-induced non-motor symptoms of Parkinson's disease (PD). Recently research has focused on evaluating whether ICD could be predicted and managed using a pharmacogenetic approach based on dopaminergic therapies, which are the main risk factors. The aim of our study was to evaluate the role of candidate genes such as DBH, DRD2, MAOA, BDNF, COMT, SLC6A4, SLC6A3, ACE, DRD1 gene polymorphisms in the pathogenesis of ICD in PD. We compared patients with PD and ICD (n = 49), patients with PD without ICD (n = 36) and a healthy control group (n = 365). ICD was diagnosed using the QUIP questionnaires and specific diagnostic criteria for subtypes of ICD. Genotyping was conducted using a number of PCR techniques and SNaPshot. Statistical analysis was performed using WinPepi and APSampler v3.6 software. PCA testing was conducted using RStudio software v1.4.1106-5. The following substitutions showed statistically significant correlations with PD and ICD: DBH (rs2097629, rs1611115), DRD2 (rs6275, rs12364283, rs1076560), ACE (rs4646994), DRD1 (rs686), BDNF (rs6265), these associations are novel in Russian PD patients. Our findings suggest that polymorphisms in DBH, BDNF, DRD2, ACE genes in Russian subjects are associated with an increased risk of ICD development.

Attenuation of inward rectifier potassium current contributes to the α1-adrenergic receptor-induced proarrhythmicity in the caval vein myocardium.

AIM: This study is aimed at investigation of electrophysiological effects of α1-adrenoreceptor (α1-AR) stimulation in the rat superior vena cava (SVC) myocardium, which is one of the sources of proarrhythmic activity. METHODS: α1-ARs agonists (phenylephrine-PHE or norepinephrine in presence of atenolol-NE + ATL) were applied to SVC and atrial tissue preparations or isolated cardiomyocytes, which were examined using optical mapping, glass microelectrodes or whole-cell patch clamp. α1-ARs distribution was evaluated using immunofluorescence. Kir2.X mRNA and protein level were estimated using RT-PCR and Western blotting. RESULTS: PHE or NE + ATL application caused a significant suppression of the conduction velocity (CV) of excitation and inexcitability in SVC, an increase in the duration of electrically evoked action potentials (APs), a decrease in the maximum upstroke velocity (dV/dtmax ) and depolarization of the resting membrane potential (RMP) in SVC to a greater extent than in atria. The effects induced by α1-ARs activation in SVC were attenuated by protein kinase C inhibition (PKC). The whole-cell patch clamp revealed PHE-induced suppression of outward component of IK1 inward rectifier current in isolated SVC, but not atrial myocytes. These effects can be mediated by α1A subtype of α-ARs found in abundance in rat SVC. The basal IK1 level in SVC was much lower than in atria as a result of the weaker expression of Kir2.2 channels. CONCLUSION: Therefore, the reduced density of IK1 in rat SVC cardiomyocytes and sensitivity of this current to α1A-AR stimulation via PKC-dependent pathways might lead to proarrhythmic conduction in SVC myocardium by inducing RMP depolarization, AP prolongation, CV and dV/dtmax decrease.

PDE4B gene polymorphism in Russian patients with panic disorder.

BACKGROUND: Panic disorder is a complex disease of unclear etiology but with an apparent genetic component. PDE4B gene product is involved in many cell processes owing to its function-regulation of the level of a second messenger cAMP. PDE4B gene polymorphism has been shown to be associated with some mental disorders including panic disorder. AIMS: The goal of our study was to evaluate the role of 3 SNPs in the PDE4B gene in the development of panic disorder. METHODS: 94 patients diagnosed with panic disorder according to the DSM-IV criteria were enrolled in the study. The population control group included 192 subjects. Genotyping was carried out by real-time PCR with TaqMan probes. RESULTS: The investigated substitutions are not associated with panic disorder in general and in female/male cohorts (p > 0.05). The analysis of complex genotypes demonstrated two protective complex genotypes (rs1040716:A, T + rs10454453:A + rs502958:A and rs1040716:A, T + rs502958:A) associated with panic disorder in general regardless of the patient's gender (p < 0.05). These genotypes did not correlate with the patient's sex. CONCLUSIONS: We found two complex protective genotypes associated with panic disorder. This can be due to the fact that predisposition to the disease are associated with other genes, while PDE4B gene polymorphism reduces their effect.

Association of GA genotype of SNP rs4680 in COMT gene with psoriasis.

Psoriasis is a multigene and multifactorial skin disease with heterogeneous genetic inheritance. Mental disorders participate in the development of psoriasis as predisposing factors; a correlation of dermatological diseases with pathological anxiety and stress was shown. Meanwhile, there are no studies describing molecular mechanisms of the linkages between psycho-emotional disorders and skin diseases. The aim of this study is to find the associations between SNP in genes COMT (rs4680), DBH (rs141116007), CCKAR (rs1800857) and CCKBR (rs1805002), and psoriasis. Patients were selected according to the 10th revision of International Classification of Diseases (L-40). The sample size was 88 patients. The size of the control sample (population control) was 365 people. Genotyping was performed using PCR-RFLP and real-time PCR. Statistical analysis was performed using WinPepi software. Identification of complex genotypes was performed by the Monte Carlo method using APSampler 3.6.1 algorithm. Among the studied genes, only GA genotype of COMT gene is significantly associated with psoriasis [χ2 = 19.163 (p = 1.3E-5), F (p) = 1.2E-5, OR 3.47 (CI 99% = 1.61-7.91)]. At the moment, the functional significance of this phenomenon is difficult to explain.

Biomarkers of migraine: Part 1 - Genetic markers.

BACKGROUND: Migraine is a multifactorial socially significant disease affecting the peripheral and central nervous system. The diagnosis of "migraine" is still the only clinical, and additional methods of inspection are only required to avoid secondary headaches if certain "signs of danger". Accordingly, the search for biomarkers of migraine, confirming the diagnosis, rather than refuting others, is the leading vector in this scientific field. AIM: In this paper we have analyzed the literature data on the genetic markers associated with migraine. METHODS: List of genes was compiled using Pathway Studio 10® software and abstract database ResNet12 ® made by Elsevier. Addition search (last time on 15 March 2016) was performed by using PubMed or TargetInsights. Information about 185 polymorphic loci in 98 genes associated with migraine was extracted and described. RESULTS: The genes associated with migraine could be classified into 8 major groups: homeostasis of blood vessels - 26.5%, metabolism of neurotransmitters - 11.2%, transport and reception of neurotransmitters - 24.5%, neurogenesis - 5.1%, inflammation - 8.2%, sex hormones - 5.1%, ion channels and membrane potential - 11.2%, other - 8.2%. CONCLUSION: These findings parallel the range of mechanisms implicated in migraine pathogenesis.

Effects of MTHFR gene polymorphism on the clinical and electrophysiological characteristics of migraine.

BACKGROUND: It was previously shown that the MTHFR gene polymorphism correlated with an increased risk of migraine, particularly migraine with aura. The substitution of cytosine for thymine at the position 677 of the MTHFR gene leads to formation of the thermolabile form of the protein and development of hyperhomocysteinemia, which increases the probability of migraine. The purpose of this study was to determine whether the replacement of C677T in the gene MTHFR influenced any particular symptoms of the disease. METHODS: We have analyzed clinical and electrophysiological characteristics of 83 patients with migraine (migraine with aura (MA), 19 patients, and migraine without aura (MO), 64 patients, according to the ICHD-II (2003)) taking into account their genotypes of C677T variant of MTHFR. RESULTS: We have shown that MA was significantly more prevalent among the T-allele carriers (37.2%), as compared to the СС genotype patients (0%), р < 0.0001. Patients with TT genotype were not only more likely to have accompanying symptoms (significant differences were found only for photophobia), but also more sensitive to migraine attack triggers. In RP-VEP test results we observed a trend that the T-allele carriers were presented with the decreased N75/P100 amplitudes and a positive habituation index, as compared to the СС genotype patients. CONCLUSIONS: Thus, according to our data, the MTHFR genotypes are associated with several clinical and electrophysiological characteristics of migraine.