Dopamine receptors genes polymorphisms in Parkinson patients with levodopa-induced dyskinesia

Autor: Irina Zhukova, Olga Yu Fedorenko, Yu. S. Mironova, Diana Z Osmanova, Ivan V Pozhidaev, Maxim B. Freidin, Valentina M. Alifirova, Berend Wilffert, Antonius Loonen, Svetlana A. Ivanova
Přispěvatelé: Methods in Medicines evaluation & Outcomes research (M2O), Reproductive Origins of Adult Health and Disease (ROAHD), PharmacoTherapy, -Epidemiology and -Economics, Real World Studies in PharmacoEpidemiology, -Genetics, -Economics and -Therapy (PEGET)
Jazyk: angličtina
Rok vydání: 2017
Předmět:
Oncology
endogenous compound
genotype
adverse event
Pharmacology
Gene mutation
DISEASE
single nucleotide polymorphism
gender
oxidative stress
Pharmacology (medical)
gene mutation
DNA extraction
Abnormal Involuntary Movement Scale
statistical significance
phosphodiesterase I
adult
levodopa-induced dyskinesia
biological marker
cohort analysis
drug therapy
Parkinson disease
Psychiatry and Mental health
female
Neurology
Medical genetics
genetic marker
medicine.symptom
Hyperkinesia
medicine.drug
onset age
Levodopa
medicine.medical_specialty
phenotype
gene frequency
analyzer
male
Internal medicine
medicine
Genetic predisposition
dopamine 4 receptor
human
levodopa
Biological Psychiatry
data analysis software
Levodopa-induced dyskinesia
business.industry
dopamine 2 receptor
treatment response
visually impaired person
major clinical study
drug metabolism
dopamine 3 receptor
Dyskinesia
DRD2
Neurology (clinical)
Gene polymorphism
business
genetic susceptibility
Zdroj: 30th ECNP Congress-Paris 2017
ResearcherID
University of Groningen
European Neuropsychopharmacology, 27, S590-S590. ELSEVIER SCIENCE BV
European Neuropsychopharmacology, 27(Supplement 4). ELSEVIER SCIENCE BV
ISSN: 0924-977X
Popis: Dopamine receptors genes polymorphisms in Parkinson patients with levodopa-induced dyskinesia I. Pozhidaev(1), V.M. Alifirova(2), M.B. Freidin(3), I.A. Zhukova(2), O.Y. Fedorenko(1), D.Z. Osmanova(1), Y.S. Mironova(2), B. Wilffert(4), S.A. Ivanova(1), A.J.M. Loonen(5) (1)Mental Health Research Institute, Molecular Genetics and Biochemistry, Tomsk, Russia (2)Siberian State Medical University, Neurology and Neurosurgery, Tomsk, Russia (3)Research Institute for Medical Genetics, Laboratory of Population Genetics, Tomsk, Russia (4)Groningen Research Institute of Pharmacy, Pharmacotherapy and Clinical Pharmacology, Groningen, The Netherlands (5)Groningen Research Institute of Pharmacy, Pharmacotherapy in Psychiatric Patients, Groningen, The Netherlands Introduction: Long-term levodopa treatment of Parkinson's disease (PD) is frequently complicated by spontaneously occurring involuntary muscle movements called levodopa-induced dyskinesia (LID). LID are a substantial barrier to effective symptomatic management of Parkinson's disease (PD), as up to 45% of L-DOPA users develop LID within 5 years [1]. The exact pathological mechanism of this complication has not yet been elucidated. A lot of studies nowadays which approved complex genetic nature of LID. And these genes are involved not only for oxidative stress, but in drug metabolism too [2–4]. Objective: This study aimed to investigate a possible contribution of polymorphic variants of DRD1, DRD2, DRD2/ANKK1, DRD3, DRD4 genes in the development of LID in PD patients. Methods: 212 patients with Parkinson's disease on levodopa therapy were investigated. Dyskinesia was measured by using Abnormal Involuntary Movement Scale (AIMS). DNA extraction and fluorogenic 5′-exonuclease TaqMan genotyping assays were conducted according to standard protocols and blind to clinical status of the subjects. Genotyping was carried out on 28 SNPs of dopamine receptors (rs4532, rs936461, rs6275, rs1801028, rs4245147, rs134655, rs6277, rs1076560, rs2283265, rs179997, rs6279, rs1076562, rs2734842, rs2734849, rs11721264, rs167770, rs3773678, rs963468, rs7633291, rs2134655, rs9817063, rs324035, rs1800828, rs167771, rs6280, rs1587756, rs3758653, rs11246226) on the MassARRAY® Analyzer 4 (Agena Bioscience™) using the set SEQUENOM Consumables iPLEX Gold 384. SPSS software was used for statistical analysis. Statistical significance of the association testing was established using permutations. P-value
Databáze: OpenAIRE
Externí odkaz: