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Computational identification of key genes that may regulate gene expression reprogramming in Alzheimer’s patients

The dementia epidemic is likely to expand worldwide as the aging population continues to grow. A better understanding of the molecular mechanisms that lead to dementia is expected to reveal potentially modifiable risk factors that could contribute to the development of prevention strategies. Alzheim...

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Detalles Bibliográficos
Autores principales: Potashkin, Judith A., Bottero, Virginie, Santiago, Jose A., Quinn, James P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6756555/
https://www.ncbi.nlm.nih.gov/pubmed/31545826
http://dx.doi.org/10.1371/journal.pone.0222921
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author Potashkin, Judith A.
Bottero, Virginie
Santiago, Jose A.
Quinn, James P.
author_facet Potashkin, Judith A.
Bottero, Virginie
Santiago, Jose A.
Quinn, James P.
author_sort Potashkin, Judith A.
collection PubMed
description The dementia epidemic is likely to expand worldwide as the aging population continues to grow. A better understanding of the molecular mechanisms that lead to dementia is expected to reveal potentially modifiable risk factors that could contribute to the development of prevention strategies. Alzheimer’s disease is the most prevalent form of dementia. Currently we only partially understand some of the pathophysiological mechanisms that lead to development of the disease in aging individuals. In this study, Switch Miner software was used to identify key switch genes in the brain whose expression may lead to the development of Alzheimer’s disease. The results indicate that switch genes are enriched in pathways involved in the proteasome, oxidative phosphorylation, Parkinson’s disease, Huntington’s disease, Alzheimer’s disease and metabolism in the hippocampus and posterior cingulate cortex. Network analysis identified the krupel like factor 9 (KLF9), potassium channel tetramerization domain 2 (KCTD2), Sp1 transcription factor (SP1) and chromodomain helicase DNA binding protein 1 (CHD1) as key transcriptional regulators of switch genes in the brain of AD patients. These transcriptions factors have been implicated in conditions associated with Alzheimer’s disease, including diabetes, glucocorticoid signaling, stroke, and sleep disorders. The specific pathways affected reveal potential modifiable risk factors by lifestyle changes.
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spelling pubmed-67565552019-10-04 Computational identification of key genes that may regulate gene expression reprogramming in Alzheimer’s patients Potashkin, Judith A. Bottero, Virginie Santiago, Jose A. Quinn, James P. PLoS One Research Article The dementia epidemic is likely to expand worldwide as the aging population continues to grow. A better understanding of the molecular mechanisms that lead to dementia is expected to reveal potentially modifiable risk factors that could contribute to the development of prevention strategies. Alzheimer’s disease is the most prevalent form of dementia. Currently we only partially understand some of the pathophysiological mechanisms that lead to development of the disease in aging individuals. In this study, Switch Miner software was used to identify key switch genes in the brain whose expression may lead to the development of Alzheimer’s disease. The results indicate that switch genes are enriched in pathways involved in the proteasome, oxidative phosphorylation, Parkinson’s disease, Huntington’s disease, Alzheimer’s disease and metabolism in the hippocampus and posterior cingulate cortex. Network analysis identified the krupel like factor 9 (KLF9), potassium channel tetramerization domain 2 (KCTD2), Sp1 transcription factor (SP1) and chromodomain helicase DNA binding protein 1 (CHD1) as key transcriptional regulators of switch genes in the brain of AD patients. These transcriptions factors have been implicated in conditions associated with Alzheimer’s disease, including diabetes, glucocorticoid signaling, stroke, and sleep disorders. The specific pathways affected reveal potential modifiable risk factors by lifestyle changes. Public Library of Science 2019-09-23 /pmc/articles/PMC6756555/ /pubmed/31545826 http://dx.doi.org/10.1371/journal.pone.0222921 Text en © 2019 Potashkin et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Potashkin, Judith A.
Bottero, Virginie
Santiago, Jose A.
Quinn, James P.
Computational identification of key genes that may regulate gene expression reprogramming in Alzheimer’s patients
title Computational identification of key genes that may regulate gene expression reprogramming in Alzheimer’s patients
title_full Computational identification of key genes that may regulate gene expression reprogramming in Alzheimer’s patients
title_fullStr Computational identification of key genes that may regulate gene expression reprogramming in Alzheimer’s patients
title_full_unstemmed Computational identification of key genes that may regulate gene expression reprogramming in Alzheimer’s patients
title_short Computational identification of key genes that may regulate gene expression reprogramming in Alzheimer’s patients
title_sort computational identification of key genes that may regulate gene expression reprogramming in alzheimer’s patients
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6756555/
https://www.ncbi.nlm.nih.gov/pubmed/31545826
http://dx.doi.org/10.1371/journal.pone.0222921
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