Gene Expression Profiling of Peripheral Blood Leukocytes Shows Consistent Longitudinal Downregulation of TOMM40 and Upregulation of KIR2DL5A, PLOD1, and SLC2A8 Among Fast Progressors in Early Alzheimer's Disease

2013 ◽  
Vol 34 (2) ◽  
pp. 399-405 ◽  
Author(s):  
Mei Sian Chong ◽  
Liang Kee Goh ◽  
Wee Shiong Lim ◽  
Mark Chan ◽  
Laura Tay ◽  
...  
Keyword(s):  
Gene Expression ◽  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Gene Expression Profiling ◽  
Peripheral Blood ◽  
Expression Profiling ◽  
Peripheral Blood Leukocytes ◽  
Blood Leukocytes ◽  
Early Alzheimer’S Disease

scholarly journals Gene expression profiling in peripheral blood leukocytes as a new approach for assessment of human stress response

2005 ◽  
Vol 52 (3,4) ◽  
pp. 137-144 ◽  
Author(s):  
Kazuhito Rokutan ◽  
Kyoko Morita ◽  
Kiyoshi Masuda ◽  
Kumiko Tominaga ◽  
Michiyo Shikishima ◽  
...  
Keyword(s):  
Gene Expression ◽  
Stress Response ◽  
Gene Expression Profiling ◽  
Peripheral Blood ◽  
Expression Profiling ◽  
Peripheral Blood Leukocytes ◽  
Blood Leukocytes ◽  
New Approach ◽  
Human Stress

Molecular Subtyping of Mild Cognitive Impairment Based on Genetic Polymorphism and Gene Expression

2020 ◽  
pp. 1-10
Author(s):  
H.-T. Li ◽  
S.-X. Yuan ◽  
J.-S. Wu ◽  
X.-Z. Zhang ◽  
Y. Liu ◽  
...  
Keyword(s):  
Gene Expression ◽  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Genetic Polymorphism ◽  
Gene Expression Profiling ◽  
Peripheral Blood ◽  
Expression Profiling ◽  
Molecular Characteristics

Background: Alzheimer’s Disease (AD) is a neurodegenerative brain disease in the elderly. Recent studies have revealed the heterogeneous nature of AD. Mild Cognitive Impairment (MCI) is the prodromal stage of AD. Objectives: In this study, we identified subtypes of MCI based on genetic polymorphism and gene expression. Methods: We utilized the two types of omics data, namely genetic polymorphism and gene expression profiling, derived from 125 MCI patients’ peripheral blood samples from the ADNI-1 dataset. Similarity network fusion (SNF) algorithm was implemented to cluster MCI patient subtypes. And 185 MCI patients in ADNI-2 were utilized to evaluate the effectiveness of this method. Two MCI subtypes were identified by implementing the SNF algorithm. Results: We used Kaplan-Meier analysis and log-rank testing for the conversion from MCI to AD between two subtypes, and p-value is 4.58×10-3. In addition, we compared patients among two MCI subtypes by the following factors: the changes in Alzheimer’s Disease cognitive scales and MRI image; significantly enriched pathways based on differentially expressed genes. This study proved that MCI is a heterogeneous disease by concluding that AD development in two MCI subtypes is significantly different. Conclusions: MCI patients with different molecular characteristics have different risks converting to AD. In addition to evaluating statistics, genetic polymorphism and gene expression profiling from MCI patients’ peripheral blood are non-invasiveness and cost-effectiveness markers to identify MCI subtypes for clinical application.

scholarly journals Integrated DNA methylation and gene expression profiling across multiple brain regions implicate novel genes in Alzheimer’s disease

2019 ◽  
Vol 137 (4) ◽  
pp. 557-569 ◽  
Author(s):  
Stephen A. Semick ◽  
Rahul A. Bharadwaj ◽  
Leonardo Collado-Torres ◽  
Ran Tao ◽  
Joo Heon Shin ◽  
...  
Keyword(s):  
Gene Expression ◽  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Dna Methylation ◽  
Gene Expression Profiling ◽  
Expression Profiling ◽  
Brain Regions ◽  
Novel Genes

O3-04-06: GENE EXPRESSION PROFILING AND DNA METHYLATION IN ALZHEIMER'S DISEASE BRAINS

2014 ◽  
Vol 10 ◽  
pp. P216-P216
Author(s):  
Mariet Allen ◽  
Daniel Serie ◽  
Zhifu Sun ◽  
Saurabh Baheti ◽  
Mike Walsh ◽  
...  
Keyword(s):  
Gene Expression ◽  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Dna Methylation ◽  
Gene Expression Profiling ◽  
Expression Profiling

scholarly journals P4-300: Gene expression profiling to identify microvascular changes in Alzheimer's disease mouse models

2008 ◽  
Vol 4 ◽  
pp. T759-T759
Author(s):  
Sandra Pereson ◽  
Mado Vandewoestyne ◽  
Bianca Van Broeck ◽  
Ivy Cuijt ◽  
Edith Peeters ◽  
...  
Keyword(s):  
Gene Expression ◽  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Gene Expression Profiling ◽  
Mouse Models ◽  
Expression Profiling ◽  
Microvascular Changes
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