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Immune abnormalities and differential gene expression in the hippocampus and peripheral blood of patients with Alzheimer’s disease

BACKGROUND: Despite decades of research, no precise mechanisms of Alzheimer’s disease (AD) development have been elucidated. This study aimed to investigate novel diagnostic biomarkers in both peripheral blood cells and hippocampus tissue, and the pathogenesis of memory impairment in AD. METHODS: mR...

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Autores principales: Wang, Xiaonan, Wang, Di, Su, Fei, Li, Chunmei, Chen, Min
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AME Publishing Company 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8848377/
https://www.ncbi.nlm.nih.gov/pubmed/35282083
http://dx.doi.org/10.21037/atm-21-4974
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author Wang, Xiaonan
Wang, Di
Su, Fei
Li, Chunmei
Chen, Min
author_facet Wang, Xiaonan
Wang, Di
Su, Fei
Li, Chunmei
Chen, Min
author_sort Wang, Xiaonan
collection PubMed
description BACKGROUND: Despite decades of research, no precise mechanisms of Alzheimer’s disease (AD) development have been elucidated. This study aimed to investigate novel diagnostic biomarkers in both peripheral blood cells and hippocampus tissue, and the pathogenesis of memory impairment in AD. METHODS: mRNA microarray data, including hippocampus samples (GSE1297 and GSE5281) and peripheral blood mononuclear cells (PBMCs) (GSE63060 and GSE63061), associated with AD were obtained from the Gene Expression Omnibus (GEO) database. Differentially expressed genes (DEGs) between AD and normal-aging samples were screened through a comprehensive analysis of multiple gene expression spectra after gene reannotation and batch normalization. The Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways were used to analyze hub genes and to discover potential biomarkers related to AD. Protein-protein interaction (PPI) network maps were constructed to visualize the correlation between possible genes. The CIBERSORT algorithm was built to explore the patterns of PBMC infiltration to investigate the role of inflammation in the pathogenesis of AD. RESULTS: The bioinformatics analysis indicated 1,261 DEGs in the hippocampal samples and 290 in PBMCs when comparing patients with AD with normal-aging individuals. We selected 28 genes co-expressed in the hippocampus and PBMCs. A functional analysis of differential genes revealed that they were primarily involved in neuronal death, immune response, and mitochondrial function. Further, immune cell infiltration patterns demonstrated that the levels of naive CD4(+) T cells, resting natural killer cells, M0 macrophages, and activated mast cells were higher in the peripheral blood of patients with AD, while resting memory CD4(+) T cells were significantly lower. CONCLUSIONS: The key gene changes present in both the hippocampus and PBMCs highly suggest their utility as an AD biomarker. In addition, according to our present results, immune abnormalities may have an important role in AD pathophysiology. When patients display these peripheral blood immune abnormalities, they may be recognized as being at high risk of developing AD.
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spelling pubmed-88483772022-03-10 Immune abnormalities and differential gene expression in the hippocampus and peripheral blood of patients with Alzheimer’s disease Wang, Xiaonan Wang, Di Su, Fei Li, Chunmei Chen, Min Ann Transl Med Original Article BACKGROUND: Despite decades of research, no precise mechanisms of Alzheimer’s disease (AD) development have been elucidated. This study aimed to investigate novel diagnostic biomarkers in both peripheral blood cells and hippocampus tissue, and the pathogenesis of memory impairment in AD. METHODS: mRNA microarray data, including hippocampus samples (GSE1297 and GSE5281) and peripheral blood mononuclear cells (PBMCs) (GSE63060 and GSE63061), associated with AD were obtained from the Gene Expression Omnibus (GEO) database. Differentially expressed genes (DEGs) between AD and normal-aging samples were screened through a comprehensive analysis of multiple gene expression spectra after gene reannotation and batch normalization. The Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways were used to analyze hub genes and to discover potential biomarkers related to AD. Protein-protein interaction (PPI) network maps were constructed to visualize the correlation between possible genes. The CIBERSORT algorithm was built to explore the patterns of PBMC infiltration to investigate the role of inflammation in the pathogenesis of AD. RESULTS: The bioinformatics analysis indicated 1,261 DEGs in the hippocampal samples and 290 in PBMCs when comparing patients with AD with normal-aging individuals. We selected 28 genes co-expressed in the hippocampus and PBMCs. A functional analysis of differential genes revealed that they were primarily involved in neuronal death, immune response, and mitochondrial function. Further, immune cell infiltration patterns demonstrated that the levels of naive CD4(+) T cells, resting natural killer cells, M0 macrophages, and activated mast cells were higher in the peripheral blood of patients with AD, while resting memory CD4(+) T cells were significantly lower. CONCLUSIONS: The key gene changes present in both the hippocampus and PBMCs highly suggest their utility as an AD biomarker. In addition, according to our present results, immune abnormalities may have an important role in AD pathophysiology. When patients display these peripheral blood immune abnormalities, they may be recognized as being at high risk of developing AD. AME Publishing Company 2022-01 /pmc/articles/PMC8848377/ /pubmed/35282083 http://dx.doi.org/10.21037/atm-21-4974 Text en 2022 Annals of Translational Medicine. All rights reserved. https://creativecommons.org/licenses/by-nc-nd/4.0/Open Access Statement: This is an Open Access article distributed in accordance with the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License (CC BY-NC-ND 4.0), which permits the non-commercial replication and distribution of the article with the strict proviso that no changes or edits are made and the original work is properly cited (including links to both the formal publication through the relevant DOI and the license). See: https://creativecommons.org/licenses/by-nc-nd/4.0 (https://creativecommons.org/licenses/by-nc-nd/4.0/) .
spellingShingle Original Article
Wang, Xiaonan
Wang, Di
Su, Fei
Li, Chunmei
Chen, Min
Immune abnormalities and differential gene expression in the hippocampus and peripheral blood of patients with Alzheimer’s disease
title Immune abnormalities and differential gene expression in the hippocampus and peripheral blood of patients with Alzheimer’s disease
title_full Immune abnormalities and differential gene expression in the hippocampus and peripheral blood of patients with Alzheimer’s disease
title_fullStr Immune abnormalities and differential gene expression in the hippocampus and peripheral blood of patients with Alzheimer’s disease
title_full_unstemmed Immune abnormalities and differential gene expression in the hippocampus and peripheral blood of patients with Alzheimer’s disease
title_short Immune abnormalities and differential gene expression in the hippocampus and peripheral blood of patients with Alzheimer’s disease
title_sort immune abnormalities and differential gene expression in the hippocampus and peripheral blood of patients with alzheimer’s disease
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8848377/
https://www.ncbi.nlm.nih.gov/pubmed/35282083
http://dx.doi.org/10.21037/atm-21-4974
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