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P1‐096: Quantitative eeg applying the statistical pattern recognition method: A useful tool in the dementia diagnostic work‐up
Author(s) -
Jóhannesson Gísli Hólmar,
Johnsen Kristinn,
Emilsdóttir Ásdís Lilja,
Blin Nicolas Pétur,
Jóhannsson Magnús,
Snædal Jón,
Guðmundsson Thorkell Elí
Publication year - 2015
Publication title -
alzheimer's and dementia
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 6.713
H-Index - 118
eISSN - 1552-5279
pISSN - 1552-5260
DOI - 10.1016/j.jalz.2015.06.293
Subject(s) - dementia , receiver operating characteristic , medicine , electroencephalography , clinical practice , area under the curve , disease , audiology , physical therapy , psychiatry
Background:MicroRNAs are implicated in the pathogenesis of Alzheimer’s disease (AD). However, the change of microRNA expression and the impact of dys-regulated microRNAs in AD remains unclear. Methods:Using CHIP technique we screened the microRNAs which were dys-regulated in hippocampus of transgenic mice of AD, and using a sensitive qRT-PCR platform we further validated the differentially expressed microRNAs. Results: The data revealed a total of 5 miRNAs (cut-off>1⁄42.0 folds) were differentially expressed in hippocampus of AD transgenic mice, including four up-regulated miRNAs, miR-34a, miR-5625, miR5130 and miR-1950, and one down-regulated miRNA, miR-882. Conclusions: Combined with literature and bioinformatics analysis, the data revealed how the deregulated brain microRNAs may be involved in the pathological processes and neurobehavioral abnormalities such as amyloid processing, synaptic loss and anxiety, and memory loss. Acknowledgements: This work was supported by Shenzhen Special Fund Project on Strategic Emerging Industry Development (JCYJ20130329103949650), Medical Scientific Research Foundation of Guangdong Province (A2013598), and Shenzhen Scheme of Science and Technology (Medicine and Health) (201302148).