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Molecular differences in Alzheimer's disease between male and female patients determined by integrative network analysis

Alzheimer's disease (AD) is a complex neurodegenerative disease and the most common cause of dementia among the elderly. There has been increasing recognition of sex differences in AD prevalence, clinical manifestation, disease course and prognosis. However, there have been few studies on the m...

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Autores principales: Sun, Lin‐Lin, Yang, Song‐Lin, Sun, Hui, Li, Wei‐Da, Duan, Shu‐Rong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6307813/
https://www.ncbi.nlm.nih.gov/pubmed/30394676
http://dx.doi.org/10.1111/jcmm.13852
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author Sun, Lin‐Lin
Yang, Song‐Lin
Sun, Hui
Li, Wei‐Da
Duan, Shu‐Rong
author_facet Sun, Lin‐Lin
Yang, Song‐Lin
Sun, Hui
Li, Wei‐Da
Duan, Shu‐Rong
author_sort Sun, Lin‐Lin
collection PubMed
description Alzheimer's disease (AD) is a complex neurodegenerative disease and the most common cause of dementia among the elderly. There has been increasing recognition of sex differences in AD prevalence, clinical manifestation, disease course and prognosis. However, there have been few studies on the molecular mechanism underlying these differences. To address this issue, we carried out global gene expression and integrative network analyses based on expression profiles (GSE84422) across 17 cortical regions of 125 individuals with AD. There were few genes that were differentially expressed across the 17 regions between the two sexes, with only four (encoding glutamate metabotropic receptor 2, oestrogen‐related receptor beta, kinesin family member 26B, and aspartoacylase) that were differentially expressed in three regions. A pan‐cortical brain region co‐expression network analysis identified pathways and genes (eg, glycogen synthase kinase 3β) that were significantly associated with clinical characteristics of AD (such as neurofibrillary score) in males only. Similarity analyses between region‐specific networks indicated that male patients exhibited greater variability, especially in the superior parietal lobule, dorsolateral prefrontal cortex and occipital visual cortex. A network module analysis revealed an association between clinical traits and crosstalk of sex‐specific modules. An examination of temporal and spatial patterns of sex differences in AD showed that molecular networks were more conserved in females than in males in different cortical regions and at different AD stages. These findings provide insight into critical molecular pathways governing sex differences in AD pathology.
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spelling pubmed-63078132019-01-04 Molecular differences in Alzheimer's disease between male and female patients determined by integrative network analysis Sun, Lin‐Lin Yang, Song‐Lin Sun, Hui Li, Wei‐Da Duan, Shu‐Rong J Cell Mol Med Original Articles Alzheimer's disease (AD) is a complex neurodegenerative disease and the most common cause of dementia among the elderly. There has been increasing recognition of sex differences in AD prevalence, clinical manifestation, disease course and prognosis. However, there have been few studies on the molecular mechanism underlying these differences. To address this issue, we carried out global gene expression and integrative network analyses based on expression profiles (GSE84422) across 17 cortical regions of 125 individuals with AD. There were few genes that were differentially expressed across the 17 regions between the two sexes, with only four (encoding glutamate metabotropic receptor 2, oestrogen‐related receptor beta, kinesin family member 26B, and aspartoacylase) that were differentially expressed in three regions. A pan‐cortical brain region co‐expression network analysis identified pathways and genes (eg, glycogen synthase kinase 3β) that were significantly associated with clinical characteristics of AD (such as neurofibrillary score) in males only. Similarity analyses between region‐specific networks indicated that male patients exhibited greater variability, especially in the superior parietal lobule, dorsolateral prefrontal cortex and occipital visual cortex. A network module analysis revealed an association between clinical traits and crosstalk of sex‐specific modules. An examination of temporal and spatial patterns of sex differences in AD showed that molecular networks were more conserved in females than in males in different cortical regions and at different AD stages. These findings provide insight into critical molecular pathways governing sex differences in AD pathology. John Wiley and Sons Inc. 2018-11-05 2019-01 /pmc/articles/PMC6307813/ /pubmed/30394676 http://dx.doi.org/10.1111/jcmm.13852 Text en © 2018 The Authors. Journal of Cellular and Molecular Medicine published by John Wiley & Sons Ltd and Foundation for Cellular and Molecular Medicine. This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Articles
Sun, Lin‐Lin
Yang, Song‐Lin
Sun, Hui
Li, Wei‐Da
Duan, Shu‐Rong
Molecular differences in Alzheimer's disease between male and female patients determined by integrative network analysis
title Molecular differences in Alzheimer's disease between male and female patients determined by integrative network analysis
title_full Molecular differences in Alzheimer's disease between male and female patients determined by integrative network analysis
title_fullStr Molecular differences in Alzheimer's disease between male and female patients determined by integrative network analysis
title_full_unstemmed Molecular differences in Alzheimer's disease between male and female patients determined by integrative network analysis
title_short Molecular differences in Alzheimer's disease between male and female patients determined by integrative network analysis
title_sort molecular differences in alzheimer's disease between male and female patients determined by integrative network analysis
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6307813/
https://www.ncbi.nlm.nih.gov/pubmed/30394676
http://dx.doi.org/10.1111/jcmm.13852
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