Dataset Information

Transcriptome profiling of prefrontal cortex (BA9) in neurodegenerative dementia using Affymetrix Human Transcriptome Array 2.0

ABSTRACT: We investigated transcriptome alterations in the prefrontal cortex (BA) of patients with Alzheimer’s disease (AD), dementia with Lewy bodies (DLB) and Parkinson's disease dementia (PDD) when compared with elderly controls without neurological or psychiatric diseases (CTRL) using Affymetrix Human Transcriptome Array 2.0 All brain samples were provided by the Brains for Dementia Research (BDR), UK. All cases were prospectively assessed by experienced clinicians using validated clinical rating instruments. The samples processed in each group were matched for age, sex and postmortem interval (PMI) as far as possible.

ORGANISM(S): Homo sapiens

PROVIDER: GSE150696 | GEO | 2021/05/24

REPOSITORIES: GEO

ACCESS DATA

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Project description:Dementia with Lewy bodies (DLB) is the second most common cause of degenerative dementia after Alzheimer’s disease (AD) and presents several overlapping pathological and clinical features with both AD and Parkinson’s disease (PD). Consequently, only one in three DLB cases is diagnosed correctly. Platelets are anucleate cells containing cellular structures and molecules, such as microRNA (miRNA), the analysis of which provides biomarkers for several disorders. In this cross-sectional study, we profiled the whole platelet miRNA transcriptome from 7 DLB patients and 7 healthy controls using Next-Generation Sequencing (NGS) and found 22 differentially expressed miRNAs. These miRNAs were further validated with miRCURY LNA miRNA Custom PCR panels in three consecutive validation studies carried out from 2017-2019 with a total of 162 individuals including DLB (n=59), AD (n=28), and PD patients (n=24), and healthy controls (n=51). As a result, three different groups of miRNAs were identified as related to DLB, AD and PD, all in comparison with controls. Additionally, our results demonstrated a significant down-regulation of hsa-miR-26b-5p and hsa-miR-150-5p in DLB compared to PD; and a signature composed of seven miRNAs that had lower expression in DLB compared to AD. The predictive diagnostic value of this bio-signature for the differentiation of DLB from AD was assessed calculating the corresponding ROC curve, which yielded an area under the curve of 1.00. Predictive analyses using specialized software (miRTarbase, miRGate) were performed for the disease-specific miRNAs to identify target genes and corresponding pathways. Three disease-specific clusters of pathways and biological processes were identified as a result of platelet-miRNA deregulation. In DLB, pathways related to gene expression and small RNA metabolism; in AD, pathways related to stress response and RNA stress granules; and in PD pathways related to protein phosphorylation, and protein metabolism and degradation were identified. In conclusion, we describe the identification of a novel, highly specific and sensitive platelet-associated miRNA-based bio-signature, which permits us to distinguish between DLB and AD.

Dataset Information

Transcriptome profiling of prefrontal cortex (BA9) in neurodegenerative dementia using Affymetrix Human Transcriptome Array 2.0

Dataset's files

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets