Expression and potential regulatory mechanism of cellular senescence-related genes in Alzheimer’s disease based on single-cell and bulk RNA datasets

IntroductionAlzheimer’s disease (AD) is the most common cause of dementia in the elderly. However, the particular cause of AD development has not been fully elucidated. Currently, cellular senescence is recognized as a contributing factor to the aging process and age-related diseases.MethodsThe pres...

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Main Authors: Dujuan Sha, Jingxuan Zhang, Xu Fang, Xinyu Wang, Xuan He, Xin Shu
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-05-01
Series:Frontiers in Neuroscience
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Online Access:https://www.frontiersin.org/articles/10.3389/fnins.2025.1595847/full
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author Dujuan Sha
Dujuan Sha
Dujuan Sha
Jingxuan Zhang
Xu Fang
Xinyu Wang
Xuan He
Xin Shu
Xin Shu
author_facet Dujuan Sha
Dujuan Sha
Dujuan Sha
Jingxuan Zhang
Xu Fang
Xinyu Wang
Xuan He
Xin Shu
Xin Shu
author_sort Dujuan Sha
collection DOAJ
description IntroductionAlzheimer’s disease (AD) is the most common cause of dementia in the elderly. However, the particular cause of AD development has not been fully elucidated. Currently, cellular senescence is recognized as a contributing factor to the aging process and age-related diseases.MethodsThe present study aimed to identify the hinge of regulatory factors in dysfunctional cellular senescence genes in AD via integrating multiple omics analysis, including single-cell RNA sequencing and bulk sequencing data. In addition, UMAP scatter diagrams were constructed, while active cell subtypes and pathways involved in cellular senescence were identified via performing Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis, respectively.ResultsThe results indicated that a total of seven clusters were detected by known marker genes, including excitatory neurons, inhibitory neurons, astrocytes, microglial cells, oligodendrocytes, oligodendrocyte progenitor cells and pericytes/endothelial cells. CDK18 was specifically expressed in oligodendrocytes, RUNX1 in microglia, SORBS2 and KSR2 in neurons, PDZD2 in oligodendrocyte progenitors, YAP1 in astrocytes and NOTCH3 in pericytes/endothelial cells. Astrocytes, microglia, and pericytes/endothelial cells were found to be the most active cell subtypes. AD-associated cellular senescence genes in the Astrocytes subgroup (SOX5, AR, HMGB1, NR2E1, ID4, TP53, MXD4, FOS, BHLHE40, PIVEP1), microglia subgroup (BCL6, ETS2, CEBPB, MXD4, FOS, NFE2L2, FOXO3, IRF3, PBRM1, RUNX1, IRF5, ZNF148) and pericyte/endothelial cell subgroup (SOX5, BCL6, ETS2, CEBPB, FOS, TP63, TBX2, ETS1, BHLHE40, ID1) were identified. Furthermore, potential therapeutic targets and drugs for AD were identified via analyzing the molecular mechanisms and pathways involved in cellular senescence.ConclusionThe above findings demonstrated that cellular senescence could play a crucial role in the pathogenesis of AD and highlighted the significance of understanding the role of cellular senescence in the pathogenesis of AD. The results of the current study could provide novel insights into the development of potential therapeutic targets and pave the way for the development of novel therapeutic strategies for AD.
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spelling doaj-art-a55c51085e334b80be1e63fea26f9bbc2025-08-20T03:47:27ZengFrontiers Media S.A.Frontiers in Neuroscience1662-453X2025-05-011910.3389/fnins.2025.15958471595847Expression and potential regulatory mechanism of cellular senescence-related genes in Alzheimer’s disease based on single-cell and bulk RNA datasetsDujuan Sha0Dujuan Sha1Dujuan Sha2Jingxuan Zhang3Xu Fang4Xinyu Wang5Xuan He6Xin Shu7Xin Shu8Department of General Practice, Nanjing Drum Tower Hospital Clinical College of Nanjing University of Chinese Medicine, Nanjing, ChinaDepartment of General Practice, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, ChinaThe State Key Laboratory of Pharmaceutical Biotechnology, Nanjing University, Nanjing, ChinaDepartment of General Practice, Nanjing Drum Tower Hospital Clinical College of Nanjing University of Chinese Medicine, Nanjing, ChinaDepartment of General Practice, Nanjing Drum Tower Hospital Clinical College of Nanjing University of Chinese Medicine, Nanjing, ChinaDepartment of General Practice, Nanjing Drum Tower Hospital Clinical College of Nanjing University of Chinese Medicine, Nanjing, ChinaDepartment of General Practice, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, ChinaDepartment of General Practice, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, ChinaThe State Key Laboratory of Pharmaceutical Biotechnology, Nanjing University, Nanjing, ChinaIntroductionAlzheimer’s disease (AD) is the most common cause of dementia in the elderly. However, the particular cause of AD development has not been fully elucidated. Currently, cellular senescence is recognized as a contributing factor to the aging process and age-related diseases.MethodsThe present study aimed to identify the hinge of regulatory factors in dysfunctional cellular senescence genes in AD via integrating multiple omics analysis, including single-cell RNA sequencing and bulk sequencing data. In addition, UMAP scatter diagrams were constructed, while active cell subtypes and pathways involved in cellular senescence were identified via performing Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis, respectively.ResultsThe results indicated that a total of seven clusters were detected by known marker genes, including excitatory neurons, inhibitory neurons, astrocytes, microglial cells, oligodendrocytes, oligodendrocyte progenitor cells and pericytes/endothelial cells. CDK18 was specifically expressed in oligodendrocytes, RUNX1 in microglia, SORBS2 and KSR2 in neurons, PDZD2 in oligodendrocyte progenitors, YAP1 in astrocytes and NOTCH3 in pericytes/endothelial cells. Astrocytes, microglia, and pericytes/endothelial cells were found to be the most active cell subtypes. AD-associated cellular senescence genes in the Astrocytes subgroup (SOX5, AR, HMGB1, NR2E1, ID4, TP53, MXD4, FOS, BHLHE40, PIVEP1), microglia subgroup (BCL6, ETS2, CEBPB, MXD4, FOS, NFE2L2, FOXO3, IRF3, PBRM1, RUNX1, IRF5, ZNF148) and pericyte/endothelial cell subgroup (SOX5, BCL6, ETS2, CEBPB, FOS, TP63, TBX2, ETS1, BHLHE40, ID1) were identified. Furthermore, potential therapeutic targets and drugs for AD were identified via analyzing the molecular mechanisms and pathways involved in cellular senescence.ConclusionThe above findings demonstrated that cellular senescence could play a crucial role in the pathogenesis of AD and highlighted the significance of understanding the role of cellular senescence in the pathogenesis of AD. The results of the current study could provide novel insights into the development of potential therapeutic targets and pave the way for the development of novel therapeutic strategies for AD.https://www.frontiersin.org/articles/10.3389/fnins.2025.1595847/fullAlzheimer’s diseasecellular senescencegenesingle-cell RNAbulk RNA datasets
spellingShingle Dujuan Sha
Dujuan Sha
Dujuan Sha
Jingxuan Zhang
Xu Fang
Xinyu Wang
Xuan He
Xin Shu
Xin Shu
Expression and potential regulatory mechanism of cellular senescence-related genes in Alzheimer’s disease based on single-cell and bulk RNA datasets
Frontiers in Neuroscience
Alzheimer’s disease
cellular senescence
gene
single-cell RNA
bulk RNA datasets
title Expression and potential regulatory mechanism of cellular senescence-related genes in Alzheimer’s disease based on single-cell and bulk RNA datasets
title_full Expression and potential regulatory mechanism of cellular senescence-related genes in Alzheimer’s disease based on single-cell and bulk RNA datasets
title_fullStr Expression and potential regulatory mechanism of cellular senescence-related genes in Alzheimer’s disease based on single-cell and bulk RNA datasets
title_full_unstemmed Expression and potential regulatory mechanism of cellular senescence-related genes in Alzheimer’s disease based on single-cell and bulk RNA datasets
title_short Expression and potential regulatory mechanism of cellular senescence-related genes in Alzheimer’s disease based on single-cell and bulk RNA datasets
title_sort expression and potential regulatory mechanism of cellular senescence related genes in alzheimer s disease based on single cell and bulk rna datasets
topic Alzheimer’s disease
cellular senescence
gene
single-cell RNA
bulk RNA datasets
url https://www.frontiersin.org/articles/10.3389/fnins.2025.1595847/full
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