Identification of mitochondrial related signature associated with immune microenvironment in Alzheimer’s disease

Abstract Background Alzheimer's disease (AD) is the most common neurodegenerative disease. Mitochondrial dysfunction and immune responses are important factors in the pathogenesis of AD, but their crosstalk in AD has not been studied. In this study, the independent role and interaction of mitoc...

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Main Authors: Yaodan Zhang, Yuyang Miao, Jin Tan, Fanglian Chen, Ping Lei, Qiang Zhang
Format: Article
Language:English
Published: BMC 2023-07-01
Series:Journal of Translational Medicine
Subjects:
Online Access:https://doi.org/10.1186/s12967-023-04254-9
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author Yaodan Zhang
Yuyang Miao
Jin Tan
Fanglian Chen
Ping Lei
Qiang Zhang
author_facet Yaodan Zhang
Yuyang Miao
Jin Tan
Fanglian Chen
Ping Lei
Qiang Zhang
author_sort Yaodan Zhang
collection DOAJ
description Abstract Background Alzheimer's disease (AD) is the most common neurodegenerative disease. Mitochondrial dysfunction and immune responses are important factors in the pathogenesis of AD, but their crosstalk in AD has not been studied. In this study, the independent role and interaction of mitochondria-related genes and immune cell infiltration in AD were investigated using bioinformatics methods. Methods The datasets of AD were obtained from NCBI Gene Expression Omnibus (GEO), and the data of mitochondrial genes was from MitoCarta3.0 database. Subsequently, differential expression genes (DEGs) screening and GSEA functional enrichment analysis were performed. The intersection of DEGs and mitochondrial related genes was used to obtain MitoDEGs. The MitoDEGs most relevant to AD were determined by Least absolute shrinkage and selection operator and multiple support vector machine recursive feature elimination, as well as protein–protein interactions (PPI) network and random forest. The infiltration of 28 kinds of immune cells in AD was analyzed by ssGSEA, and the relationship between hub MitoDEGs and the proportion of immune infiltration was studied. The expression levels of hub MitoDEGs were verified in cell models and AD mice, and the role of OPA1 in mitochondrial damage and neuronal apoptosis was investigated. Results The functions and pathways of DEGs were significantly enriched in AD, including immune response activation, IL1R pathway, mitochondrial metabolism, oxidative damage response and electron transport chain-oxphos system in mitochondria. Hub MitoDEGs closely related to AD were obtained based on PPI network, random forest and two machine learning algorithms. Five hub MitoDEGs associated with neurological disorders were identified by biological function examination. The hub MitoDEGs were found to be correlated with memory B cell, effector memory CD8 T cell, activated dendritic cell, natural killer T cell, type 17 T helper cell, Neutrophil, MDSC, plasmacytoid dendritic cell. These genes can also be used to predict the risk of AD and have good diagnostic efficacy. In addition, the mRNA expression levels of BDH1, TRAP1, OPA1, DLD in cell models and AD mice were consistent with the results of bioinformatics analysis, and expression levels of SPG7 showed a downward trend. Meanwhile, OPA1 overexpression alleviated mitochondrial damage and neuronal apoptosis induced by Aβ1-42. Conclusions Five potential hub MitoDEGs most associated with AD were identified. Their interaction with immune microenvironment may play a crucial role in the occurrence and prognosis of AD, which provides a new insight for studying the potential pathogenesis of AD and exploring new targets.
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spelling doaj.art-a9f616ff351d4ffd95a6d4056de4747a2023-07-16T11:26:33ZengBMCJournal of Translational Medicine1479-58762023-07-0121112310.1186/s12967-023-04254-9Identification of mitochondrial related signature associated with immune microenvironment in Alzheimer’s diseaseYaodan Zhang0Yuyang Miao1Jin Tan2Fanglian Chen3Ping Lei4Qiang Zhang5Department of Geriatrics, Tianjin Medical University General HospitalDepartment of Geriatrics, Tianjin Medical University General HospitalDepartment of Geriatrics, Tianjin Medical University General HospitalTianjin Neurological Institute, Tianjin Medical University General HospitalDepartment of Geriatrics, Tianjin Medical University General HospitalDepartment of Geriatrics, Tianjin Medical University General HospitalAbstract Background Alzheimer's disease (AD) is the most common neurodegenerative disease. Mitochondrial dysfunction and immune responses are important factors in the pathogenesis of AD, but their crosstalk in AD has not been studied. In this study, the independent role and interaction of mitochondria-related genes and immune cell infiltration in AD were investigated using bioinformatics methods. Methods The datasets of AD were obtained from NCBI Gene Expression Omnibus (GEO), and the data of mitochondrial genes was from MitoCarta3.0 database. Subsequently, differential expression genes (DEGs) screening and GSEA functional enrichment analysis were performed. The intersection of DEGs and mitochondrial related genes was used to obtain MitoDEGs. The MitoDEGs most relevant to AD were determined by Least absolute shrinkage and selection operator and multiple support vector machine recursive feature elimination, as well as protein–protein interactions (PPI) network and random forest. The infiltration of 28 kinds of immune cells in AD was analyzed by ssGSEA, and the relationship between hub MitoDEGs and the proportion of immune infiltration was studied. The expression levels of hub MitoDEGs were verified in cell models and AD mice, and the role of OPA1 in mitochondrial damage and neuronal apoptosis was investigated. Results The functions and pathways of DEGs were significantly enriched in AD, including immune response activation, IL1R pathway, mitochondrial metabolism, oxidative damage response and electron transport chain-oxphos system in mitochondria. Hub MitoDEGs closely related to AD were obtained based on PPI network, random forest and two machine learning algorithms. Five hub MitoDEGs associated with neurological disorders were identified by biological function examination. The hub MitoDEGs were found to be correlated with memory B cell, effector memory CD8 T cell, activated dendritic cell, natural killer T cell, type 17 T helper cell, Neutrophil, MDSC, plasmacytoid dendritic cell. These genes can also be used to predict the risk of AD and have good diagnostic efficacy. In addition, the mRNA expression levels of BDH1, TRAP1, OPA1, DLD in cell models and AD mice were consistent with the results of bioinformatics analysis, and expression levels of SPG7 showed a downward trend. Meanwhile, OPA1 overexpression alleviated mitochondrial damage and neuronal apoptosis induced by Aβ1-42. Conclusions Five potential hub MitoDEGs most associated with AD were identified. Their interaction with immune microenvironment may play a crucial role in the occurrence and prognosis of AD, which provides a new insight for studying the potential pathogenesis of AD and exploring new targets.https://doi.org/10.1186/s12967-023-04254-9Alzheimer's diseaseMitochondriaImmune infiltrationBioinformatics analysis
spellingShingle Yaodan Zhang
Yuyang Miao
Jin Tan
Fanglian Chen
Ping Lei
Qiang Zhang
Identification of mitochondrial related signature associated with immune microenvironment in Alzheimer’s disease
Journal of Translational Medicine
Alzheimer's disease
Mitochondria
Immune infiltration
Bioinformatics analysis
title Identification of mitochondrial related signature associated with immune microenvironment in Alzheimer’s disease
title_full Identification of mitochondrial related signature associated with immune microenvironment in Alzheimer’s disease
title_fullStr Identification of mitochondrial related signature associated with immune microenvironment in Alzheimer’s disease
title_full_unstemmed Identification of mitochondrial related signature associated with immune microenvironment in Alzheimer’s disease
title_short Identification of mitochondrial related signature associated with immune microenvironment in Alzheimer’s disease
title_sort identification of mitochondrial related signature associated with immune microenvironment in alzheimer s disease
topic Alzheimer's disease
Mitochondria
Immune infiltration
Bioinformatics analysis
url https://doi.org/10.1186/s12967-023-04254-9
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