Integrated analysis and identification of hub genes as novel biomarkers for Alzheimer's disease

被引:7
|
作者
Zhao, Kun [1 ]
Zhang, Hui [2 ]
Wu, Yinyan [1 ]
Liu, Jianzhi [1 ]
Li, Xuezhong [1 ]
Lin, Jianyang [3 ]
机构
[1] Jiangsu Univ, Affiliated Peoples Hosp, Dept Neurol, Zhenjiang, Peoples R China
[2] Fujian Med Univ, Fujian Ctr Safety Evaluat New Drug, Fuzhou, Peoples R China
[3] Jiangsu Univ, Affiliated Peoples Hosp, Dept Gen Surg, Zhenjiang, Peoples R China
来源
FRONTIERS IN AGING NEUROSCIENCE | 2022年 / 14卷
关键词
Alzheimer's disease (AD); novel biomarker; integrated analysis; immune; hub gene; AGAP3; IMMUNE CELLS; EXPRESSION; PROTEIN; GTPASE; MODELS; SYSTEM; CRAG;
D O I
10.3389/fnagi.2022.901972
中图分类号
R592 [老年病学]; C [社会科学总论];
学科分类号
03 ; 0303 ; 100203 ;
摘要
Alzheimer's disease (AD) is an intractable and progressive neurodegenerative disorder that can lead to severe cognitive decline, impaired speech, short-term memory loss, and finally an inability to function in daily life. For patients, their families, and even all of society, AD can impart great emotional pressure and economic costs. Therefore, this study aimed to investigate potential diagnostic biomarkers of AD. Using the Gene Expression Omnibus (GEO) database, the expression profiles of genes were extracted from the GSE5281, GSE28146, and GSE48350 microarray datasets. Then, immune-related genes were identified by the intersections of differentially expressed genes (DEGs). Functional enrichment analyses, including Gene Ontology, Kyoto Encyclopedia of Genes and Genomes, Disease Ontology (DO), and Gene Set Enrichment Analysis (GSEA), were performed. Subsequently, random forest models and least absolute shrinkage and selection operator regression were used to further screen hub genes, which were then validated using receiver operating characteristic (ROC) curve analysis. Finally, 153 total immune-related DEGs were identified in relation to AD. DO analysis of these immune-related DEGs showed that they were enriched in "lung disease," "reproductive system disease," and "atherosclerosis." Single GSEA of hub genes showed that they were particularly enriched in "oxidative phosphorylation." ROC analysis of AGAP3 yielded an area under the ROC curve of 0.878 for GSE5281, 0.727 for GSE28146, and 0.635 for GSE48350. Moreover, immune infiltration analysis demonstrated that AGAP3 was related to follicular helper T cells, naive CD4 T cells, naive B cells, memory B cells, macrophages M0, macrophages M1, macrophages M2, resting natural killer (NK) cells, activated NK cells, monocytes, neutrophils, eosinophils, and activated mast cells. These results indicate that identifying immune-related DEGs might enhance the current understanding of the development and prognosis of AD. Furthermore, AGAP3 not only plays a vital role in AD progression and diagnosis but could also serve as a valuable target for further research on AD.
引用
收藏
页数:14
相关论文
共 50 条
  • [1] Identification of Hub Genes Related to Alzheimer's Disease and Major Depressive Disorder
    Cheng, Yajing
    Sun, Meiyue
    Wang, Feng
    Geng, Xin
    Wang, Fei
    AMERICAN JOURNAL OF ALZHEIMERS DISEASE AND OTHER DEMENTIAS, 2021, 36
  • [2] Identification of novel hub genes for Alzheimer's disease associated with the hippocampus using WGCNA and differential gene analysis
    Chen, Yang
    Li, Zhaoxiang
    Ge, Xin
    Lv, Huandi
    Geng, Zuojun
    FRONTIERS IN NEUROSCIENCE, 2024, 18
  • [3] Six mitophagy-related hub genes as peripheral blood biomarkers of Alzheimer's disease and their immune cell infiltration correlation
    Zhao, Kun
    Wu, Yinyan
    Zhao, Dongliang
    Zhang, Hui
    Lin, Jianyang
    Wang, Yuanwei
    FRONTIERS IN NEUROSCIENCE, 2023, 17
  • [4] Identification of hub genes and biological pathways in hepatocellular carcinoma by integrated bioinformatics analysis
    Zhao, Qian
    Zhang, Yan
    Shao, Shichun
    Sun, Yeqing
    Lin, Zhengkui
    PEERJ, 2021, 9
  • [5] Identification of Underlying Hub Genes Associated with Hypertrophic Cardiomyopathy by Integrated Bioinformatics Analysis
    Ma, Zetao
    Wang, Xizhi
    Lv, Qingbo
    Gong, Yingchao
    Xia, Minghong
    Zhuang, Lenan
    Lu, Xue
    Yang, Ying
    Zhang, Wenbin
    Fu, Guosheng
    Ye, Yang
    Lai, Dongwu
    PHARMACOGENOMICS & PERSONALIZED MEDICINE, 2021, 14 : 823 - 837
  • [6] Identification of hub genes in gastric cancer by integrated bioinformatics analysis
    Sun, Feng
    Zhang, Chen
    Ai, Shichao
    Liu, Zhijian
    Lu, Xiaofeng
    TRANSLATIONAL CANCER RESEARCH, 2021, 10 (06) : 2831 - +
  • [7] Identification of key genes and pathways in Parkinson's disease through integrated analysis
    Wang, Jingru
    Liu, Yining
    Chen, Tuanzhi
    MOLECULAR MEDICINE REPORTS, 2017, 16 (04) : 3769 - 3776
  • [8] Identification of Novel Hub Genes Associated with Psoriasis Using Integrated Bioinformatics Analysis
    Yue, Qi
    Li, Zhaoxiang
    Zhang, Qi
    Jin, Quanxin
    Zhang, Xinyuan
    Jin, Guihua
    INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES, 2022, 23 (23)
  • [9] Identification ferroptosis-related hub genes and diagnostic model in Alzheimer's disease
    Zhao, Huabin
    Wang, Jiawei
    Li, Zhongzheng
    Wang, Shenghui
    Yu, Guoying
    Wang, Lan
    FRONTIERS IN MOLECULAR NEUROSCIENCE, 2023, 16
  • [10] Identification of novel genes in Behcet’s disease using integrated bioinformatic analysis
    Si Chen
    Haolong Li
    Haoting Zhan
    Xiaoli Zeng
    Hui Yuan
    Yongzhe Li
    Immunologic Research, 2022, 70 : 461 - 468