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Copper metabolism-related Genes in entorhinal cortex for Alzheimer's disease

The pathological features of Alzheimer's disease are the formation of amyloid plaques and entanglement of nerve fibers. Studies have shown that Cu may be involved in the formation of amyloid plaques. However, their role has been controversial. The aim of this study was to explore the role of Cu...

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Autores principales: Zhang, Yan, Yang, Yu-shen, Wang, Cong-mei, Chen, Wei-can, Chen, Xin-li, Wu, Fan, He, He-fan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10576783/
https://www.ncbi.nlm.nih.gov/pubmed/37838728
http://dx.doi.org/10.1038/s41598-023-44656-9
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author Zhang, Yan
Yang, Yu-shen
Wang, Cong-mei
Chen, Wei-can
Chen, Xin-li
Wu, Fan
He, He-fan
author_facet Zhang, Yan
Yang, Yu-shen
Wang, Cong-mei
Chen, Wei-can
Chen, Xin-li
Wu, Fan
He, He-fan
author_sort Zhang, Yan
collection PubMed
description The pathological features of Alzheimer's disease are the formation of amyloid plaques and entanglement of nerve fibers. Studies have shown that Cu may be involved in the formation of amyloid plaques. However, their role has been controversial. The aim of this study was to explore the role of Cu in AD. We applied the “R” software for our differential analysis. Differentially expressed genes were screened using the limma package. Copper metabolism-related genes and the intersection set of differential genes with GSE5281 were searched; functional annotation was performed. The protein–protein interaction network was constructed using several modules to analyse the most significant hub genes. The hub genes were then qualified, and a database was used to screen for small-molecule AD drugs. We identified 87 DEGs. gene ontology analysis focused on homeostatic processes, response to toxic substances, positive regulation of transport, and secretion. The enriched molecular functions are mainly related to copper ion binding, molecular function regulators, protein-containing complex binding, identical protein binding and signalling receptor binding. The KEGG database is mainly involved in central carbon metabolism in various cancers, Parkinson's disease and melanoma. We identified five hub genes, FGF2, B2M, PTPRC, CD44 and SPP1, and identified the corresponding small molecule drugs. Our study identified key genes possibly related to energy metabolism in the pathological mechanism of AD and explored potential targets for AD treatment by establishing interaction networks.
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spelling pubmed-105767832023-10-16 Copper metabolism-related Genes in entorhinal cortex for Alzheimer's disease Zhang, Yan Yang, Yu-shen Wang, Cong-mei Chen, Wei-can Chen, Xin-li Wu, Fan He, He-fan Sci Rep Article The pathological features of Alzheimer's disease are the formation of amyloid plaques and entanglement of nerve fibers. Studies have shown that Cu may be involved in the formation of amyloid plaques. However, their role has been controversial. The aim of this study was to explore the role of Cu in AD. We applied the “R” software for our differential analysis. Differentially expressed genes were screened using the limma package. Copper metabolism-related genes and the intersection set of differential genes with GSE5281 were searched; functional annotation was performed. The protein–protein interaction network was constructed using several modules to analyse the most significant hub genes. The hub genes were then qualified, and a database was used to screen for small-molecule AD drugs. We identified 87 DEGs. gene ontology analysis focused on homeostatic processes, response to toxic substances, positive regulation of transport, and secretion. The enriched molecular functions are mainly related to copper ion binding, molecular function regulators, protein-containing complex binding, identical protein binding and signalling receptor binding. The KEGG database is mainly involved in central carbon metabolism in various cancers, Parkinson's disease and melanoma. We identified five hub genes, FGF2, B2M, PTPRC, CD44 and SPP1, and identified the corresponding small molecule drugs. Our study identified key genes possibly related to energy metabolism in the pathological mechanism of AD and explored potential targets for AD treatment by establishing interaction networks. Nature Publishing Group UK 2023-10-14 /pmc/articles/PMC10576783/ /pubmed/37838728 http://dx.doi.org/10.1038/s41598-023-44656-9 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Zhang, Yan
Yang, Yu-shen
Wang, Cong-mei
Chen, Wei-can
Chen, Xin-li
Wu, Fan
He, He-fan
Copper metabolism-related Genes in entorhinal cortex for Alzheimer's disease
title Copper metabolism-related Genes in entorhinal cortex for Alzheimer's disease
title_full Copper metabolism-related Genes in entorhinal cortex for Alzheimer's disease
title_fullStr Copper metabolism-related Genes in entorhinal cortex for Alzheimer's disease
title_full_unstemmed Copper metabolism-related Genes in entorhinal cortex for Alzheimer's disease
title_short Copper metabolism-related Genes in entorhinal cortex for Alzheimer's disease
title_sort copper metabolism-related genes in entorhinal cortex for alzheimer's disease
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10576783/
https://www.ncbi.nlm.nih.gov/pubmed/37838728
http://dx.doi.org/10.1038/s41598-023-44656-9
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