Cargando…

Transcriptomic and Network Analysis Identifies Shared and Unique Pathways across Dementia Spectrum Disorders

Background: Dementia is a growing public health concern with an estimated prevalence of 50 million people worldwide. Alzheimer’s disease (AD) and vascular and frontotemporal dementias (VaD, FTD), share many clinical, genetical, and pathological features making the diagnosis difficult. Methods: In th...

Descripción completa

Detalles Bibliográficos
Autores principales: Santiago, Jose A., Bottero, Virginie, Potashkin, Judith A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7139711/
https://www.ncbi.nlm.nih.gov/pubmed/32192109
http://dx.doi.org/10.3390/ijms21062050
_version_ 1783518829214695424
author Santiago, Jose A.
Bottero, Virginie
Potashkin, Judith A.
author_facet Santiago, Jose A.
Bottero, Virginie
Potashkin, Judith A.
author_sort Santiago, Jose A.
collection PubMed
description Background: Dementia is a growing public health concern with an estimated prevalence of 50 million people worldwide. Alzheimer’s disease (AD) and vascular and frontotemporal dementias (VaD, FTD), share many clinical, genetical, and pathological features making the diagnosis difficult. Methods: In this study, we compared the transcriptome from the frontal cortex of patients with AD, VaD, and FTD to identify dysregulated pathways. Results: Upregulated genes in AD were enriched in adherens and tight junctions, mitogen-activated protein kinase, and phosphatidylinositol 3-kinase and protein kinase B/Akt signaling pathways, whereas downregulated genes associated with calcium signaling. Upregulated genes in VaD were centered on infectious diseases and nuclear factor kappa beta signaling, whereas downregulated genes are involved in biosynthesis of amino acids and the pentose phosphate pathway. Upregulated genes in FTD were associated with ECM receptor interactions and the lysosome, whereas downregulated genes were involved in glutamatergic synapse and MAPK signaling. The transcription factor KFL4 was shared among the 3 types of dementia. Conclusions: Collectively, we identified similarities and differences in dysregulated pathways and transcription factors among the dementias. The shared pathways and transcription factors may indicate a potential common etiology, whereas the differences may be useful for distinguishing dementias.
format Online
Article
Text
id pubmed-7139711
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-71397112020-04-10 Transcriptomic and Network Analysis Identifies Shared and Unique Pathways across Dementia Spectrum Disorders Santiago, Jose A. Bottero, Virginie Potashkin, Judith A. Int J Mol Sci Article Background: Dementia is a growing public health concern with an estimated prevalence of 50 million people worldwide. Alzheimer’s disease (AD) and vascular and frontotemporal dementias (VaD, FTD), share many clinical, genetical, and pathological features making the diagnosis difficult. Methods: In this study, we compared the transcriptome from the frontal cortex of patients with AD, VaD, and FTD to identify dysregulated pathways. Results: Upregulated genes in AD were enriched in adherens and tight junctions, mitogen-activated protein kinase, and phosphatidylinositol 3-kinase and protein kinase B/Akt signaling pathways, whereas downregulated genes associated with calcium signaling. Upregulated genes in VaD were centered on infectious diseases and nuclear factor kappa beta signaling, whereas downregulated genes are involved in biosynthesis of amino acids and the pentose phosphate pathway. Upregulated genes in FTD were associated with ECM receptor interactions and the lysosome, whereas downregulated genes were involved in glutamatergic synapse and MAPK signaling. The transcription factor KFL4 was shared among the 3 types of dementia. Conclusions: Collectively, we identified similarities and differences in dysregulated pathways and transcription factors among the dementias. The shared pathways and transcription factors may indicate a potential common etiology, whereas the differences may be useful for distinguishing dementias. MDPI 2020-03-17 /pmc/articles/PMC7139711/ /pubmed/32192109 http://dx.doi.org/10.3390/ijms21062050 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Santiago, Jose A.
Bottero, Virginie
Potashkin, Judith A.
Transcriptomic and Network Analysis Identifies Shared and Unique Pathways across Dementia Spectrum Disorders
title Transcriptomic and Network Analysis Identifies Shared and Unique Pathways across Dementia Spectrum Disorders
title_full Transcriptomic and Network Analysis Identifies Shared and Unique Pathways across Dementia Spectrum Disorders
title_fullStr Transcriptomic and Network Analysis Identifies Shared and Unique Pathways across Dementia Spectrum Disorders
title_full_unstemmed Transcriptomic and Network Analysis Identifies Shared and Unique Pathways across Dementia Spectrum Disorders
title_short Transcriptomic and Network Analysis Identifies Shared and Unique Pathways across Dementia Spectrum Disorders
title_sort transcriptomic and network analysis identifies shared and unique pathways across dementia spectrum disorders
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7139711/
https://www.ncbi.nlm.nih.gov/pubmed/32192109
http://dx.doi.org/10.3390/ijms21062050
work_keys_str_mv AT santiagojosea transcriptomicandnetworkanalysisidentifiessharedanduniquepathwaysacrossdementiaspectrumdisorders
AT botterovirginie transcriptomicandnetworkanalysisidentifiessharedanduniquepathwaysacrossdementiaspectrumdisorders
AT potashkinjuditha transcriptomicandnetworkanalysisidentifiessharedanduniquepathwaysacrossdementiaspectrumdisorders