Identification of Disease-Related Genes That Are Common between Alzheimer’s and Cardiovascular Disease Using Blood Genome-Wide Transcriptome Analysis
Accumulating evidence has suggested a shared pathophysiology between Alzheimer’s disease (AD) and cardiovascular disease (CVD). Based on genome-wide transcriptomes, specifically those of blood samples, we identify the shared disease-related signatures between AD and CVD. In addition to gene expressi...
Guardado en:
Autores principales: | , , |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
MDPI AG
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/39abeddc999b424f95de2a644bc70295 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
id |
oai:doaj.org-article:39abeddc999b424f95de2a644bc70295 |
---|---|
record_format |
dspace |
spelling |
oai:doaj.org-article:39abeddc999b424f95de2a644bc702952021-11-25T16:48:34ZIdentification of Disease-Related Genes That Are Common between Alzheimer’s and Cardiovascular Disease Using Blood Genome-Wide Transcriptome Analysis10.3390/biomedicines91115252227-9059https://doaj.org/article/39abeddc999b424f95de2a644bc702952021-10-01T00:00:00Zhttps://www.mdpi.com/2227-9059/9/11/1525https://doaj.org/toc/2227-9059Accumulating evidence has suggested a shared pathophysiology between Alzheimer’s disease (AD) and cardiovascular disease (CVD). Based on genome-wide transcriptomes, specifically those of blood samples, we identify the shared disease-related signatures between AD and CVD. In addition to gene expressions in blood, the following prior knowledge were utilized to identify several candidate disease-related gene (DRG) sets: protein–protein interactions, transcription factors, disease–gene relationship databases, and single nucleotide polymorphisms. We selected the respective DRG sets for AD and CVD that show a high accuracy for disease prediction in bulk and single-cell gene expression datasets. Then, gene regulatory networks (GRNs) were constructed from each of the AD and CVD DRG sets to identify the upstream regulating genes. Using the GRNs, we identified two common upstream genes (GPBP1 and SETDB2) between the AD and CVD GRNs. In summary, this study has identified the potential AD- and CVD-related genes and common hub genes between these sets, which may help to elucidate the shared mechanisms between these two diseases.Taesic LeeHyunju Leethe Alzheimer’s Disease Neuroimaging InitiativeMDPI AGarticleAlzheimer’s diseasecardiovascular diseaseblood gene expressiondisease-related molecular signaturesdifferential expression analysisgene regulatory networkBiology (General)QH301-705.5ENBiomedicines, Vol 9, Iss 1525, p 1525 (2021) |
institution |
DOAJ |
collection |
DOAJ |
language |
EN |
topic |
Alzheimer’s disease cardiovascular disease blood gene expression disease-related molecular signatures differential expression analysis gene regulatory network Biology (General) QH301-705.5 |
spellingShingle |
Alzheimer’s disease cardiovascular disease blood gene expression disease-related molecular signatures differential expression analysis gene regulatory network Biology (General) QH301-705.5 Taesic Lee Hyunju Lee the Alzheimer’s Disease Neuroimaging Initiative Identification of Disease-Related Genes That Are Common between Alzheimer’s and Cardiovascular Disease Using Blood Genome-Wide Transcriptome Analysis |
description |
Accumulating evidence has suggested a shared pathophysiology between Alzheimer’s disease (AD) and cardiovascular disease (CVD). Based on genome-wide transcriptomes, specifically those of blood samples, we identify the shared disease-related signatures between AD and CVD. In addition to gene expressions in blood, the following prior knowledge were utilized to identify several candidate disease-related gene (DRG) sets: protein–protein interactions, transcription factors, disease–gene relationship databases, and single nucleotide polymorphisms. We selected the respective DRG sets for AD and CVD that show a high accuracy for disease prediction in bulk and single-cell gene expression datasets. Then, gene regulatory networks (GRNs) were constructed from each of the AD and CVD DRG sets to identify the upstream regulating genes. Using the GRNs, we identified two common upstream genes (GPBP1 and SETDB2) between the AD and CVD GRNs. In summary, this study has identified the potential AD- and CVD-related genes and common hub genes between these sets, which may help to elucidate the shared mechanisms between these two diseases. |
format |
article |
author |
Taesic Lee Hyunju Lee the Alzheimer’s Disease Neuroimaging Initiative |
author_facet |
Taesic Lee Hyunju Lee the Alzheimer’s Disease Neuroimaging Initiative |
author_sort |
Taesic Lee |
title |
Identification of Disease-Related Genes That Are Common between Alzheimer’s and Cardiovascular Disease Using Blood Genome-Wide Transcriptome Analysis |
title_short |
Identification of Disease-Related Genes That Are Common between Alzheimer’s and Cardiovascular Disease Using Blood Genome-Wide Transcriptome Analysis |
title_full |
Identification of Disease-Related Genes That Are Common between Alzheimer’s and Cardiovascular Disease Using Blood Genome-Wide Transcriptome Analysis |
title_fullStr |
Identification of Disease-Related Genes That Are Common between Alzheimer’s and Cardiovascular Disease Using Blood Genome-Wide Transcriptome Analysis |
title_full_unstemmed |
Identification of Disease-Related Genes That Are Common between Alzheimer’s and Cardiovascular Disease Using Blood Genome-Wide Transcriptome Analysis |
title_sort |
identification of disease-related genes that are common between alzheimer’s and cardiovascular disease using blood genome-wide transcriptome analysis |
publisher |
MDPI AG |
publishDate |
2021 |
url |
https://doaj.org/article/39abeddc999b424f95de2a644bc70295 |
work_keys_str_mv |
AT taesiclee identificationofdiseaserelatedgenesthatarecommonbetweenalzheimersandcardiovasculardiseaseusingbloodgenomewidetranscriptomeanalysis AT hyunjulee identificationofdiseaserelatedgenesthatarecommonbetweenalzheimersandcardiovasculardiseaseusingbloodgenomewidetranscriptomeanalysis AT thealzheimersdiseaseneuroimaginginitiative identificationofdiseaserelatedgenesthatarecommonbetweenalzheimersandcardiovasculardiseaseusingbloodgenomewidetranscriptomeanalysis |
_version_ |
1718412947543293952 |