Genomics

Dataset Information

0

Blood genome-wide gene expression microarray profiles in female patients with advanced Alzheimer's Disease and healthy controls


ABSTRACT: To date, little is known regarding the etiology and disease mechanisms of alzheimer’s disease (AD). There is a general urgency for novel approaches to advance AD research. In this study, we analyzed blood RNA from female patients with advanced AD and matched healthy controls using genome-wide gene expression microarrays. Our data showed significant alterations in 3,944 genes (≥2-fold, FDR≤1%) in AD whole blood, including 2,932 genes that are involved in broad biological functions. Importantly, we observed abnormal transcripts of numerous tissue-specific genes in AD blood involving virtually all tissues, especially the brain. Of altered genes, 157 are known to be essential in neurological functions, such as neuronal plasticity, synaptic transmission and neurogenesis. More importantly, 205 dysregulated genes in AD blood have been linked to neurological disease, including AD/dementia and Parkinson’s disease, and 43 are known to be the causative genes of 42 inherited mental retardation and neurodegenerative diseases. The detected transcriptional abnormalities also support robust inflammation, profound ECM impairments, broad metabolic dysfunction, aberrant oxidative stress, DNA damage and cell death. While the mechanisms are currently unclear, this study demonstrates strong blood-brain correlations in AD. The blood transcriptional profiles reflect the complex neuropathological status in AD, including neuropathological changes and broad somatic impairments. The majority of genes altered in AD blood have not previously been linked to AD. We believe that blood genome-wide transcriptional profiling may provide a powerful and minimally invasive tool for the identification of novel targets beyond Aβ and tauopathy for AD research.

ORGANISM(S): Homo sapiens

PROVIDER: GSE97760 | GEO | 2017/04/14

SECONDARY ACCESSION(S): PRJNA382827

REPOSITORIES: GEO

Similar Datasets

2022-01-19 | GSE138214 | GEO
2018-01-16 | PXD005319 | Pride
2024-01-03 | PXD045244 | JPOST Repository
2016-08-19 | E-GEOD-84422 | biostudies-arrayexpress
2020-04-05 | GSE147528 | GEO
2022-08-03 | GSE193438 | GEO
2016-08-19 | GSE84422 | GEO
2023-11-30 | GSE248245 | GEO
2013-06-17 | E-GEOD-46579 | biostudies-arrayexpress
2021-09-16 | E-MTAB-5742 | biostudies-arrayexpress