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ATP Binding Cassette Subfamily A Member 2 (ABCA2) Expression and Methylation are Associated with Alzheimer’s Disease

BACKGROUND: ABCA2 has been genetically linked to Alzheimer’s disease (AD) risk, but its mRNA expression and epigenetics in AD have not been investigated. MATERIAL/METHOD: To explore the diagnosis value of ABCA2 mRNA expression in AD, 2 datasets GES15222 and GSE33000 containing expression profile of...

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Autores principales: Hu, Wanhua, Lin, Xiaodong, Zhang, Huihe, Zhao, Na
Formato: Online Artículo Texto
Lenguaje:English
Publicado: International Scientific Literature, Inc. 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5733562/
https://www.ncbi.nlm.nih.gov/pubmed/29224028
http://dx.doi.org/10.12659/MSM.905524
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author Hu, Wanhua
Lin, Xiaodong
Zhang, Huihe
Zhao, Na
author_facet Hu, Wanhua
Lin, Xiaodong
Zhang, Huihe
Zhao, Na
author_sort Hu, Wanhua
collection PubMed
description BACKGROUND: ABCA2 has been genetically linked to Alzheimer’s disease (AD) risk, but its mRNA expression and epigenetics in AD have not been investigated. MATERIAL/METHOD: To explore the diagnosis value of ABCA2 mRNA expression in AD, 2 datasets GES15222 and GSE33000 containing expression profile of brain cortex tissues and 2 datasets GSE63063 (Cohort 1) and GSE63063 (Cohort 2) containing expression profile of blood were downloaded from the NCBI GEO database and analyzed by receiver operating characteristic curve (ROC) analyses and logistic regression. The ABCA2 co-expressed genes were also analyzed by GO annotation to investigate the potential molecular mechanisms. RESULTS: The analyses results suggested ABCA2 mRNA expression was upregulated significantly in AD compared with controls in all datasets. ROC analysis suggested that ABCA2 was associated with AD in all datasets, which were also proved by univariate and multivariate analyses. Next, the dataset GSE80970 containing methylation profiles of prefrontal cortex tissues from AD patients were downloaded and analyzed. Methylation of 2 of 36 CpG islands in ABCA2 gene with high diagnostic accuracy of AD from controls in ROC analyses were found to be negatively associated with AD risk in univariate analysis. One was still associated with AD risk after adjustment of confounding factors. Additional analyses indicated that ACBA2 mRNA expression could be used to diagnose mild cognitive impairment (MCI) and Huntington’s disease (HD) from controls and to distinguish HD from AD, but not AD from MCI. Furthermore, the genes involved in AD during ABCA2 alteration were analyzed by GO analysis. CONCLUSIONS: ABCA2 mRNA expression and methylation is associated AD risk. ABCA2 may be used as a biomarker for AD diagnosis and may be a potential therapeutic target of AD.
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spelling pubmed-57335622017-12-20 ATP Binding Cassette Subfamily A Member 2 (ABCA2) Expression and Methylation are Associated with Alzheimer’s Disease Hu, Wanhua Lin, Xiaodong Zhang, Huihe Zhao, Na Med Sci Monit Clinical Research BACKGROUND: ABCA2 has been genetically linked to Alzheimer’s disease (AD) risk, but its mRNA expression and epigenetics in AD have not been investigated. MATERIAL/METHOD: To explore the diagnosis value of ABCA2 mRNA expression in AD, 2 datasets GES15222 and GSE33000 containing expression profile of brain cortex tissues and 2 datasets GSE63063 (Cohort 1) and GSE63063 (Cohort 2) containing expression profile of blood were downloaded from the NCBI GEO database and analyzed by receiver operating characteristic curve (ROC) analyses and logistic regression. The ABCA2 co-expressed genes were also analyzed by GO annotation to investigate the potential molecular mechanisms. RESULTS: The analyses results suggested ABCA2 mRNA expression was upregulated significantly in AD compared with controls in all datasets. ROC analysis suggested that ABCA2 was associated with AD in all datasets, which were also proved by univariate and multivariate analyses. Next, the dataset GSE80970 containing methylation profiles of prefrontal cortex tissues from AD patients were downloaded and analyzed. Methylation of 2 of 36 CpG islands in ABCA2 gene with high diagnostic accuracy of AD from controls in ROC analyses were found to be negatively associated with AD risk in univariate analysis. One was still associated with AD risk after adjustment of confounding factors. Additional analyses indicated that ACBA2 mRNA expression could be used to diagnose mild cognitive impairment (MCI) and Huntington’s disease (HD) from controls and to distinguish HD from AD, but not AD from MCI. Furthermore, the genes involved in AD during ABCA2 alteration were analyzed by GO analysis. CONCLUSIONS: ABCA2 mRNA expression and methylation is associated AD risk. ABCA2 may be used as a biomarker for AD diagnosis and may be a potential therapeutic target of AD. International Scientific Literature, Inc. 2017-12-10 /pmc/articles/PMC5733562/ /pubmed/29224028 http://dx.doi.org/10.12659/MSM.905524 Text en © Med Sci Monit, 2017 This work is licensed under Creative Common Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0 (https://creativecommons.org/licenses/by-nc-nd/4.0/) )
spellingShingle Clinical Research
Hu, Wanhua
Lin, Xiaodong
Zhang, Huihe
Zhao, Na
ATP Binding Cassette Subfamily A Member 2 (ABCA2) Expression and Methylation are Associated with Alzheimer’s Disease
title ATP Binding Cassette Subfamily A Member 2 (ABCA2) Expression and Methylation are Associated with Alzheimer’s Disease
title_full ATP Binding Cassette Subfamily A Member 2 (ABCA2) Expression and Methylation are Associated with Alzheimer’s Disease
title_fullStr ATP Binding Cassette Subfamily A Member 2 (ABCA2) Expression and Methylation are Associated with Alzheimer’s Disease
title_full_unstemmed ATP Binding Cassette Subfamily A Member 2 (ABCA2) Expression and Methylation are Associated with Alzheimer’s Disease
title_short ATP Binding Cassette Subfamily A Member 2 (ABCA2) Expression and Methylation are Associated with Alzheimer’s Disease
title_sort atp binding cassette subfamily a member 2 (abca2) expression and methylation are associated with alzheimer’s disease
topic Clinical Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5733562/
https://www.ncbi.nlm.nih.gov/pubmed/29224028
http://dx.doi.org/10.12659/MSM.905524
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