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Summary of PhD thesis in Medicine: Research on features of electroencephalogram and some polymorphisms of COMT, ZNF804A gene in patients with schizophrenia

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To describe EEG and relationship between EEG and clinical features in patients with schizophrenia. To assess the frequency of allele and genotypic distribution of ZNF804A gene polymorphism rs1344706 and COMT gene polymorphism rs165599 in patients with schizophrenia.

1 INTRODUCTION 1. The necessity of this study Schizophrenia   is   a   group   of   severe   psychosis,   characterized   by  psychotic   symptoms   such   as   delusions,   hallucinations,   catatonia,  disorganized   speech   and   behavior   The   symptoms   of   schizophrenia   are  varied and they always change over time [1] In   the   world,   there   are   tens   of   millions   of   people   with  schizophrenia,   accounting   for   about   1%   of   the   world's   population.  Every year, this rate increases by 0.15% of the population. Prevalence  of schizophrenia in Vietnam is 0.3­0.8%, and every year it increases by  0.1­0.15% of the population[2] For   decades,   many   authors   have   focused   on   the   etiology   and  pathogenesis of schizophrenia according to several trends such as genetics  [9],   [10] neurotransmitters  [21],   [22] environmental   factors  [19],  [20] Each   schizophrenia   theory   is   characterized   by   its   advantages   and  limitations.  Although  many  studies  on  schizophrenia  have  been  conducted   in  Vietnam,   most   of   them   have   just   described   the   clinical   symptoms,  progression and treatment of schizophrenia  Few studies have researched  on EEG, but they still restricted, especially about the feature of EEG in  schizophrenia   Many   studies   of   molecular,   genetic   and   gene   change   in  schizophrenia in the world [1], [2] have concerned of gene Catechol­O­ methyltransferase and Zinc­finger protein 804A) [13], [14], but number of  studies on nucleotide polymorphisms in schizophrenia has been limited in  Vietnam.   In   previous   decades,   studies   on   the   etiology   and   pathogenesis   of  schizophrenia, including EEG and schizophrenic genetic, have faced many  difficulties   and   hassles,   both   in   terms   of   technical   procedures   and  equipment,   which   are   not   suitable   to   the   current   situation   in   Vietnam.  Nowadays,   because   of   new   techniques   and   methods   in   quantitative  electroencephalography [49], [50] and new generation sequencing [15], in­ depth   studies   of   EEG   and   molecular   genetic   in   schizophrenia   become  available. Therefore, the “Research on features of electroencephalogram   and   some   polymorphisms   of   COMT,   ZNF804A   gene   in   patients   with   schizophrenia” has been launched with two objectives as follows:  1/   To   describe   EEG   and   relationship   between   EEG   and   clinical   features in patients with schizophrenia 2/ To assess the frequency of allele and genotypic distribution of   ZNF804A   gene   polymorphism   rs1344706   and   COMT   gene   polymorphism rs165599 in patients with schizophrenia 2. Practical significance and new contributions  ­   This   has   been   the   first   systematic   study   on   clinical   features  which   initially   assessed   on   the   EEG   and  ZNF804A  gene   rs1344706  polymorphism,  COMT  gene   polymorphism   rs165599   in   patients   with  schizophrenia in Vietnam.  ­ The analysis of EEG was successfully applied by EEGLab sofware  running on Matlab in schizophrenic patients ­   EEG   changes   in   patients   with   schizophrenia   were   varied:  Amplitude   of   alpha   wave,   delta   wave   and   theta   wave   had   statistically  significant differences between two groups and recording channels. The  energy property of alpha wave in schizophrenia group was significantly  lower than in control group. The energy property of delta wave and theta  wave   in   schizophrenia   group   were   significantly   higher   than   in   control  group. EEG frequency did not change in schizophrenic patients, comparing  to control group. There was a correlation between hallucinations and EEG  in  patients   with  schizophrenia,  including:   increase  of   amplitude,  energy  properties of alpha, delta, and theta waves ­ The frequency of allele rs1344706 polymorphism in schizophrenic  patients  was 53.30%  (A) and 46.70% (C), and the distribution of three  genotypes AA, CC and AC in patients with schizophrenia was 28.19%,  21.59% and 50.22%. Whereas, frequency of allele A and G of rs165599  polymorphism in schizophrenia patients was 51.32% and 48.68%; and the  distribution   of   genotypes   AA,   GG   and   AG   were   22.75%,   25.11%   and  47.14%,   respectively   There   was   no   difference   in   allele   frequency   and  genotypic distribution of rs1344706 and rs165599 polymorphism between  schizophrenia and control group. There was  also no difference in allele  frequency and genotypic distribution between two groups in  both females  and males ­ This research opened a new direction for early diagnosis as well as  tools   to   support   the   diagnosis   and   evaluation   of   treatment   results   in  patients with schizophrenia 3. Structure of thesis  Thesis  was   written  in 152   pages,  tables  and  figures  The  content  includes:   Introduction     (2   pages);   Chapter   1:   Over   view   (38   pages);  Chapter 2: Objects and methods (18 pages); Chapter 3: Result (46 pages);  Chapter   4:   Discussion   (26   pages)   and   conclusion   (2   pages);  Recommendation (1 page); List of research projects that publish results of the  thesis   page;   References   (18   page)   (Vietnamese   documents   and   foreign  languages documents) CHAPTER 1 OVERVIEW 1.1 Concept of schizophrenia Schizophrenia   is   characterized   by   many   disturbances   such   as  thinking   disorder,   emotional   and   behavioral   disorder   These   symptoms  include:   positive   symptoms   such   as   delusions,   hallucinations,   and  catatonia;   negative   symptoms   such   as:   flat   affect,   asociality,   avolition,  anhedonia, and alogia [5] 1.2. Electroencephalogram in schizophrenia Previous studies have shown the changes of alpha wave, delta wave  and theta wave in schizophrenia in terms of amplitude, power, frequency,  and   reactivity   Especially,   there   are   the   appearance   of   waves   with  frequency 25­35 Hz and low amplitude, as called "choppy". EEG changes  in schizophrenia occur in 64% of patients Nowadays, researches have been focusing on analyzing the EEG in  schizophrenia in terms of energy and output property 1.3. Changes in ZNF804A and COMT gene, in schizophrenia 1.3.1. ZNF804A gene and schizophrenia ZNF804  is   a   gene   encoding   the  ZNF804A  protein   in   humans,  located   on   chromosome     q32.1,   consisting   of     exons,   encoding  proteins   with   1210   amino   acids   In   humans,  ZNF804A  is   widely  expressed   in   the   brain,   particularly   in   the   developing   hippocampus  and   cortex,   as   well   as   the   cerebellum   in   adults   A   study   of  GWAS  identified  ZNF804A  as   a   sensitive   gene  of   schizophrenia   From   the  genealogical   studies   of   schizophrenia,   it  is   said  that  genetic  coefficient is nearly 80%. The rs1344706 polymorphism in intron 2 of  the  ZNF804A  gene   has   been   identified   as   the   single   polymorph ism  which is most closely associated with schizophrenia. Recent evidences  also  have   shown   that   the  ZNF804A  gene   may   be   one   of   the   most  potential genes which relate in schizophrenia [1] 1.3.2. The rs1344706 Polymorphism and schizophrenia The   relationship  between   rs1344706  polymorphism   and  schizophrenia   is   widely   recognized   and   reached   a   consensus   [85]   The  association   between  ZNF804A  and   schizophrenia,   especially   rs1344706  polymorphism,   has   been   confirmed   by   many   researches  on   European  samples. However, these results have not been consistent among Asians  [86] 1.3.3. COMT gene and schizophrenia COMT gene has a schizophrenia­related region on chromosome 22;  contains   important   fragments   22q11.2;   related   to   catecholamine  metabolism: group of neurotransmitters involved in mental disorders and  psychiatric   treatment   Relationship   of   the  COMT  gene   rs4680  polymorphism related to females in schizophrenia was found in a study (p  =   0.02)   [108],   [109]   Another   studies   of  COMT  gene   also   showed   the  relationship between schizophrenia and  environmental risk factors such as  marijuana stimulant use to schizophrenia [110], [111], [112] 1.3.4. The rs165599 polymorphism and schizophrenia The rs165599 polymorphism, which has received much attention  in   schizophrenia   researches,   suggests   it   has   a   role   to   play   This  polymorphism, which plays a role in increasing dopamine, has explained  some of the features of schizophrenia, including delusions, hallucinations,  disorganized   speech   and   behavior   This   role   is   also   shown   in   the  association   of   alleles   with   schizophrenia   at   the   age   of   onset   and   the  decrease in working productivity [116] 1.4. Research on  Electroencephalogram  and genes in schizophrenia in  Vietnam Schizophrenia is one of the leading causes of disability, often onset  at a young age, with severe consequences for patients, families and society.  In   the   world,   researches   on   changing   EEG   and   genetic   features   in  schizophrenia   have   been   interested   in   many   respects   However,  schizophrenia has been highly concerned about epidemiology and clinical  features in Vietnam. There have also been some studies evaluating EEG in  schizophrenia,   but   these   studies   have   just   assessed   through   subjective  evaluation. Extensive and in­depth assessments of specific functional areas  related to high­level functional disorders as well as studies of genetic and  polymorphic traits, including  ZNF804A  and  COMT  gene in Vietnamese,  have been still unclear. Researches on EEG and genes in schizophrenia in  the world still have showed many different results. Therefore, research on  these issues in Vietnamese population is new and necessary CHAPTER 2 OBJECT AND METHOD 2.1. Study objects The schizophrenia group includes 230 patients with schizophrenia  diagnosed   according   to   criteria   of   World   Health   Organization   in   1992  (ICD­10F). These patients was treated at the Department of Psychiatry,  Military Hospital 103, Vietnamese Military Medical University The control group includes 94 healthy people who suitable for age,  gender and some other conditions with above patients 2.2. Methods 2.2.1. Study design A   Cross­sectional   follow­up   study   includes   analysis   of   clinical  symptoms of patients corresponding to  COMT, ZNF804A  gene and EEG  changes in the schizophrenia group 2.2.2. Clinical research method Clinical research method is to directly interview with patients and  their family members to collect information about the patient's history 2.2.3. Electroencephalogram analysing method EEGLab   v13.4.4b   analysis   software   running   on   MatLab   2017  software Procedure of EEG  analysis was  conducted at Diagnostic  Imaging  Department­103 Military Hospital­Vietnam Military Medical University 2.2.4. Research method of genetic polymorphism The  ZNF804A  gene polymorphism  rs1433706   was  determined  by  the direct sequencing method and the COMT gene polymorphism rs165599  was   determined   by   the polymerase   chain   reaction­restriction   fragment  length polymorphism (PCR­RFLP) method Process   of   conducting   these   techniques   to   determine   the  polymorphisms:  Military   Pharmaceutical   Research   Centre­Vietnam  Military Medical University Chapter 3 RESULTS 3.1. General features of study subjects Table 3.1. Distributon by age group of two groups Age group Schizophrenic group n (%) Control group n (%)  50              16 (6.96) Mean age 31.24± 0.97 p > 0.05           04 (4.26) 31.02±10.40 > 0.05 The result in Table 3.1 showed that there was the similarity about  the number and prevalence by age group of two groups (p>0.05). There  was a significant  difference on distribution by age group between each age  range band in two groups (p 0.05 The   result   in   the   Table   3.2   showed   that   there   was   a   similarity  between two groups (p>0.05). The result also illustrated that prevalence  was higher in subjects of male than those of female (p

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