scholarly journals Prediction of Mild Cognitive Impairment that Evolves into Alzheimer's Disease Dementia within Two Years using a Gene Expression Signature in Blood: A Pilot Study

2013 ◽  
Vol 35 (3) ◽  
pp. 611-621 ◽  
Author(s):  
Line Roed ◽  
Gisle Grave ◽  
Torbjørn Lindahl ◽  
Edith Rian ◽  
Peter O. Horndalsveen ◽  
...  
Keyword(s):  
Gene Expression ◽  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Pilot Study ◽  
Gene Expression Signature ◽  
Expression Signature ◽  
Alzheimer’S Disease Dementia

scholarly journals Meta-Analysis of Gene Expression Changes in the Blood of Patients with Mild Cognitive Impairment and Alzheimer’s Disease Dementia

2019 ◽  
Vol 20 (21) ◽  
pp. 5403 ◽  
Author(s):  
Virginie Bottero ◽  
Judith A. Potashkin
Keyword(s):  
Gene Expression ◽  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Transcription Factors ◽  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Early Stage ◽  
Meta Analysis ◽  
Health Concern ◽  
Alzheimer’S Disease Dementia

Background: Dementia is a major public health concern affecting approximately 47 million people worldwide. Mild cognitive impairment (MCI) is one form of dementia that affects an individual’s memory with or without affecting their daily life. Alzheimer’s disease dementia (ADD) is a more severe form of dementia that usually affects elderly individuals. It remains unclear whether MCI is a distinct disorder from or an early stage of ADD. Methods: Gene expression data from blood were analyzed to identify potential biomarkers that may be useful for distinguishing between these two forms of dementia. Results: A meta-analysis revealed 91 genes dysregulated in individuals with MCI and 387 genes dysregulated in ADD. Pathway analysis identified seven pathways shared between MCI and ADD and nine ADD-specific pathways. Fifteen transcription factors were associated with MCI and ADD, whereas seven transcription factors were specific for ADD. Mir-335-5p was specific for ADD, suggesting that it may be useful as a biomarker. Diseases that are associated with MCI and ADD included developmental delays, cognition impairment, and movement disorders. Conclusion: These results provide a better molecular understanding of peripheral changes that occur in MCI and ADD patients and may be useful in the identification of diagnostic and prognostic biomarkers.

scholarly journals Electromyographic Activity in the EEG in Alzheimer's Disease: Noise or Signal?

2011 ◽  
Vol 2011 ◽  
pp. 1-6 ◽  
Author(s):  
Karin van der Hiele ◽  
Robert H. A. M. Reijntjes ◽  
Alla A. Vein ◽  
Rudi G. J. Westendorp ◽  
Mark A. van Buchem ◽  
...  
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Pilot Study ◽  
Amnestic Mild Cognitive Impairment ◽  
Theta Activity ◽  
Emg Activity ◽  
Electromyographic Activity ◽  
Behavioural Aspects

Many efforts have been directed at negating the influence of electromyographic (EMG) activity on the EEG, especially in elderly demented patients. We wondered whether these “artifacts” might reflect cognitive and behavioural aspects of dementia. In this pilot study, 11 patients with probable Alzheimer's disease (AD), 13 with amnestic mild cognitive impairment (MCI) and 13 controls underwent EEG registration. As EMG measures, we used frontal and temporal 50–70 Hz activity. We found that the EEGs of AD patients displayed more theta activity, less alpha reactivity, and more frontal EMG than controls. Interestingly, increased EMG activity indicated more cognitive impairment and more depressive complaints. EEG variables on the whole distinguished better between groups than EMG variables, but an EMG variable was best for the distinction between MCI and controls. Our results suggest that EMG activity in the EEG could be more than noise; it differs systematically between groups and may reflect different cerebral functions than the EEG.

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