Serological biomarkers, neuropsychiatric correlations and neuroimaging findings in epilepsy patients

博士 === 國立中山大學 === 生物科學系研究所 === 100 === Purpose: Excessive day time sleepiness, sleep disorders and neurobehavior changes are common clinical observations in the patients with epilepsy. From literature review, they were highly related with epilepsy risk characteristics (age of onset, types or numbers...

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Bibliographic Details
Main Authors: Chiung-Chih Chang, 張瓊之
Other Authors: Yao-Chung Chuang
Format: Others
Language:en_US
Published: 2012
Online Access:http://ndltd.ncl.edu.tw/handle/72275188535996144389
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Summary:博士 === 國立中山大學 === 生物科學系研究所 === 100 === Purpose: Excessive day time sleepiness, sleep disorders and neurobehavior changes are common clinical observations in the patients with epilepsy. From literature review, they were highly related with epilepsy risk characteristics (age of onset, types or numbers of drugs, seizure frequency), co-morbidities or neuronal network changes. The serological biomarkers have been reported to reflect the phenomenon of seizure, while their correlations with neurobehavior changes were still not concluded. There were two purposes of this thesis. (1) To understand the relationship between sleep disturbance with day time performances (2) To understand the relationships between serological biomarkers, neurobehavior performances and neuronal networks in patients with temporal lobe epilepsy. Material and Methods: The study enrolled patients from epilepsy outpatient clinic. By using self-appreciated questionnaire (The Pittsburgh Sleep Quality Index, The Epworth Sleepiness Scale, Euroqol Quality of Life Scale-5D), we collected the characteristics of sleep related behavior and life quality changes and explored the relationship with epilepsy risk characteristics. In patients with temporal lobe epilepsy, we assessed the neurobehavior performances, measured the serological biomarkers (heat shock protein 70, S100βprotein, neuron specific enolase, brain derived neurotrophic factor, plasma and mitochondrial DNA) and brain magnetic resonance imaging. In statistical analysis, we compared the differences with age matched controls or performed correlation analysis among the parameters Result: One hundred and seventeen patients with epilepsy completed the sleep quality questionnaires. The results showed that 20 percent of patients had day time sleepiness, while the sleep disorder was prolong sleep latency and impaired sleep efficiency. In epilepsy characteristics, patients with complex partial seizure, intractable seizure or with multi-pharmacy were related with poor sleep quality. A total of 34 patients completed the serological, neurobehavior and brain magnetic resonance analysis. The results showed that patients with temporal lobe epilepsy had higher heat shock protein 70 and S100βprotein levels, while those with attacks more than twice per month had significant higher heat shock protein 70, S100βprotein and neuron specific enolase levels. Compared with the matched controls, the regions showing atrophy included hippocampus and parahippocampus, putamen, thalamus and supplementary motor areas. In correlation study, only heat shock protein 70 showed an inverse correlation with hippocampal volume (R square = 0.22, p = 0.007) after controlling for the effect of age. Conclusion: The study suggested that epilepsy risk characteristics, serological biomarkers, brain atrophic regions were important factors for day time sleepiness, sleep disturbances and neurobehavior changes in patients with epilepsy.