Prediction of Clinical Symptoms of Schizophrenia Based on Comt Methylation Marker

Introduction: The dopamine hypothesis of schizophrenia is based on the fact that hyperdopaminergic state is involved in causing psychosis and antipsychotic drugs block the dopamine receptor. COMT regulates the homeostatic levels of neurotransmitter dopamine in the synapses and plays a role in the ne...

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Veröffentlicht in:International medical journal Malaysia 2017-09, Vol.16 (1)
Hauptverfasser: Abd Rahim, Nour El Huda, Rahim, Mohd Nabil Fikri, Ku Zaifah, Norsidah, Mohd Noor, Hanisah, Abdullah, Kartini, A. Talib, Norlelawati
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container_issue 1
container_start_page
container_title International medical journal Malaysia
container_volume 16
creator Abd Rahim, Nour El Huda
Rahim, Mohd Nabil Fikri
Ku Zaifah, Norsidah
Mohd Noor, Hanisah
Abdullah, Kartini
A. Talib, Norlelawati
description Introduction: The dopamine hypothesis of schizophrenia is based on the fact that hyperdopaminergic state is involved in causing psychosis and antipsychotic drugs block the dopamine receptor. COMT regulates the homeostatic levels of neurotransmitter dopamine in the synapses and plays a role in the neurocognitive function. The dysregulation of dopamine in the prefrontal cortex influences the cognitive function and the severity of the psychotic symptoms in schizophrenia. During epigenetic event, methylated COMT gene may cause reduction in its expression and contribute to the clinical presentation of schizophrenia. Therefore, the aim of this study was to assess the feasibility of using COMT DNA methylation for the prediction of specific psychotic presentation of schizophrenia. Materials and method: In this study, 138 schizophrenia patients were recruited from the Psychiatry Clinic, Hospital Tengku Ampuan Afzan, Kuantan Pahang. Genomic DNA from peripheral blood was subjected to the Methylight Taqman® analysis for quantitative measurement of the COMT DNA methylation. The psychopathological symptoms were assessed using the Positive and Negative Syndrome Scale (PANSS). Results: The regression analysis showed that the Positive and Excited subdomains of PANSS were significant predictors of COMT hypomethylation (β= -0.288, p= -0.031; β= - 0.288, p= -0.031). The Excited subdomain of PANSS was negatively correlated with COMT DNA methylation (r 2 = -0.380, p= 0.000) as well as the Depressed subdomain (r 2 = -0.288, p= 0.001). Conclusion: The relationship between DNA methylation of COMT with the positive, excited and depressed symptoms might indicate the epigenetic role of COMT gene in the manifestation of schizophrenia.
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Materials and method: In this study, 138 schizophrenia patients were recruited from the Psychiatry Clinic, Hospital Tengku Ampuan Afzan, Kuantan Pahang. Genomic DNA from peripheral blood was subjected to the Methylight Taqman® analysis for quantitative measurement of the COMT DNA methylation. The psychopathological symptoms were assessed using the Positive and Negative Syndrome Scale (PANSS). Results: The regression analysis showed that the Positive and Excited subdomains of PANSS were significant predictors of COMT hypomethylation (β= -0.288, p= -0.031; β= - 0.288, p= -0.031). The Excited subdomain of PANSS was negatively correlated with COMT DNA methylation (r 2 = -0.380, p= 0.000) as well as the Depressed subdomain (r 2 = -0.288, p= 0.001). 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Materials and method: In this study, 138 schizophrenia patients were recruited from the Psychiatry Clinic, Hospital Tengku Ampuan Afzan, Kuantan Pahang. Genomic DNA from peripheral blood was subjected to the Methylight Taqman® analysis for quantitative measurement of the COMT DNA methylation. The psychopathological symptoms were assessed using the Positive and Negative Syndrome Scale (PANSS). Results: The regression analysis showed that the Positive and Excited subdomains of PANSS were significant predictors of COMT hypomethylation (β= -0.288, p= -0.031; β= - 0.288, p= -0.031). The Excited subdomain of PANSS was negatively correlated with COMT DNA methylation (r 2 = -0.380, p= 0.000) as well as the Depressed subdomain (r 2 = -0.288, p= 0.001). 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