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Network analysis for identifying disease mechanisms and therapeutic targets for dementia

Network analysis for identifying disease mechanisms and therapeutic targets for dementia
网络分析用于识别痴呆症的疾病机制和治疗靶点
批准号:
9788248
负责人:
Judith Ann Potashkin
金额:
$31.2万
依托单位国家:
美国
项目类别:
财政年份:
2018
资助国家:
美国
项目状态:
已结题
起止时间:
2018-09-30 至 2021-05-23

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中文摘要
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英文摘要
Dementia is a growing public health concern with rising prevalence rates estimated to increase to 131 million within the next 3 decades. Accurate and early diagnosis of dementia is challenging with more than 50% of the cases undiagnosed. Dementia is associated with a wide spectrum of neurodegenerative diseases including Alzheimer's disease, Parkinson's disease dementia, vascular dementia and mild cognitive impairment. These dementias share clinical symptoms and several genetic, neurochemical and morphological factors making the distinction very challenging. Despite the genetic and clinical overlap, the specific mechanism(s) leading to the different dementia subtypes is poorly understood. Diagnosis of the different subtypes of dementia is important given differences in disease course, treatment and clinical management. There remains an urgent need to differentiate these dementias and understand the mechanisms underlying their pathogenesis. A major risk factor for dementia and neurodegeneration is diabetes, a chronic metabolic disorder characterized by insulin resistance and altered glucose metabolism. Currently, there are no disease-modifying therapies for dementia, however, increasing evidence from epidemiological studies suggest that certain nutrients that reduce the risk of diabetes may be neuroprotective. For example, consumption of fish, olive oil, fruits and green leafy vegetables commonly present in a Mediterranean diet may prevent the development of cognitive decline and dementia, however the mechanisms by which these nutrients promote brain health are not yet understood. In this study, gene expression microarray data will be analyzed using unbiased system-based pathway and network analyses, based on genetic and protein interactions, to identify common and unique mechanisms underlying the pathogenesis of dementia, determine if these mechanisms underlie the association between dementia and diabetes and determine if adherence to a Mediterranean diet may be neuroprotective.
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