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Differential Expression and miRNA–Gene Interactions in Early and Late Mild Cognitive Impairment
Mild cognitive impairment (MCI) and Alzheimer’s Disease (AD) are complex diseases with their molecular architecture not elucidated. APOE, Amyloid Beta Precursor Protein (APP), and Presenilin-1 (PSEN1) are well-known genes associated with both MCI and AD. Recently, epigenetic alterations and dysregul...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7565463/ https://www.ncbi.nlm.nih.gov/pubmed/32872134 http://dx.doi.org/10.3390/biology9090251 |
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author | Brito, Leonardo Miranda Ribeiro-dos-Santos, Ândrea Vidal, Amanda Ferreira de Araújo, Gilderlanio Santana |
author_facet | Brito, Leonardo Miranda Ribeiro-dos-Santos, Ândrea Vidal, Amanda Ferreira de Araújo, Gilderlanio Santana |
author_sort | Brito, Leonardo Miranda |
collection | PubMed |
description | Mild cognitive impairment (MCI) and Alzheimer’s Disease (AD) are complex diseases with their molecular architecture not elucidated. APOE, Amyloid Beta Precursor Protein (APP), and Presenilin-1 (PSEN1) are well-known genes associated with both MCI and AD. Recently, epigenetic alterations and dysregulated regulatory elements, such as microRNAs (miRNAs), have been reported associated with neurodegeneration. In this study, differential expression analysis (DEA) was performed for genes and miRNAs based on microarray and RNA-Seq data. Global gene profile of healthy individuals, early and late mild cognitive impairment (EMCI and LMCI, respectively), and AD was obtained from ADNI Cohort. miRNA global profile of healthy individuals and AD patients was extracted from public RNA-Seq data. DEA performed with limma package on ADNI Cohort data highlighted eight differential expressed (DE) genes (AGER, LINC00483, MMP19, CATSPER1, ARFGAP1, GPER1, PHLPP2, TRPM2) (false discovery rate (FDR) p-value < 0.05) between EMCI and LMCI patients. Previous molecular studies showed associations between these genes with dementia and neurological-related pathways. Five dysregulated miRNAs were identified by DEA performed with RNA-Seq data and edgeR (FDR p-value < 0.002). All reported miRNAs in AD interact with the aforementioned genes. Our integrative transcriptomic analysis was able to identify a set of miRNA–gene interactions that may be involved in cognitive and neurodegeneration processes. |
format | Online Article Text |
id | pubmed-7565463 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-75654632020-10-26 Differential Expression and miRNA–Gene Interactions in Early and Late Mild Cognitive Impairment Brito, Leonardo Miranda Ribeiro-dos-Santos, Ândrea Vidal, Amanda Ferreira de Araújo, Gilderlanio Santana Biology (Basel) Article Mild cognitive impairment (MCI) and Alzheimer’s Disease (AD) are complex diseases with their molecular architecture not elucidated. APOE, Amyloid Beta Precursor Protein (APP), and Presenilin-1 (PSEN1) are well-known genes associated with both MCI and AD. Recently, epigenetic alterations and dysregulated regulatory elements, such as microRNAs (miRNAs), have been reported associated with neurodegeneration. In this study, differential expression analysis (DEA) was performed for genes and miRNAs based on microarray and RNA-Seq data. Global gene profile of healthy individuals, early and late mild cognitive impairment (EMCI and LMCI, respectively), and AD was obtained from ADNI Cohort. miRNA global profile of healthy individuals and AD patients was extracted from public RNA-Seq data. DEA performed with limma package on ADNI Cohort data highlighted eight differential expressed (DE) genes (AGER, LINC00483, MMP19, CATSPER1, ARFGAP1, GPER1, PHLPP2, TRPM2) (false discovery rate (FDR) p-value < 0.05) between EMCI and LMCI patients. Previous molecular studies showed associations between these genes with dementia and neurological-related pathways. Five dysregulated miRNAs were identified by DEA performed with RNA-Seq data and edgeR (FDR p-value < 0.002). All reported miRNAs in AD interact with the aforementioned genes. Our integrative transcriptomic analysis was able to identify a set of miRNA–gene interactions that may be involved in cognitive and neurodegeneration processes. MDPI 2020-08-28 /pmc/articles/PMC7565463/ /pubmed/32872134 http://dx.doi.org/10.3390/biology9090251 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 Brito, Leonardo Miranda Ribeiro-dos-Santos, Ândrea Vidal, Amanda Ferreira de Araújo, Gilderlanio Santana Differential Expression and miRNA–Gene Interactions in Early and Late Mild Cognitive Impairment |
title | Differential Expression and miRNA–Gene Interactions in Early and Late Mild Cognitive Impairment |
title_full | Differential Expression and miRNA–Gene Interactions in Early and Late Mild Cognitive Impairment |
title_fullStr | Differential Expression and miRNA–Gene Interactions in Early and Late Mild Cognitive Impairment |
title_full_unstemmed | Differential Expression and miRNA–Gene Interactions in Early and Late Mild Cognitive Impairment |
title_short | Differential Expression and miRNA–Gene Interactions in Early and Late Mild Cognitive Impairment |
title_sort | differential expression and mirna–gene interactions in early and late mild cognitive impairment |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7565463/ https://www.ncbi.nlm.nih.gov/pubmed/32872134 http://dx.doi.org/10.3390/biology9090251 |
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