Identification of key neutrophil extracellular trap genes in Alzheimer's disease

被引:0
|
作者
Pan, Hengming [1 ]
Wang, Ge [2 ]
Bi, Zhichao [2 ]
Lai, Chao [2 ]
Wang, Min [2 ]
机构
[1] Shandong Second Prov Gen Hosp, Dept Pediat, Jinan, Peoples R China
[2] Shandong Univ, Hosp 2, Dept Neurol, 247 Beiyuan Rd, Jinan 250033, Shandong, Peoples R China
关键词
Alzheimer's disease; biomarkers; immune infiltration; neutrophil extracellular traps; CELLS; INFLAMMATION; HYPOTHESIS; MICROGLIA; SYSTEM;
D O I
10.1177/13872877241295374
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
Background: Alzheimer's disease (AD) is a neurodegenerative disorder that is associated with neuroinflammation. Neutrophil extracellular traps (NETs) are web-like structures that cause inflammation, but its involvement in AD pathogenesis is unclear. Objective: This study aimed to identify key NETs related genes associated with AD. Methods: A total of 180 samples from the GSE122063 and GSE36980 dataset were obtained from the GEO repository. The representative genes were obtained, and its diagnostic performance was evaluated by analyzing operating characteristic curves. Consensus clustering and principal component analysis were performed to cluster AD samples. Gene ontology, KEGG pathway enrichment, and protein interaction network were analyzed. Peripheral blood samples were collected from 5 AD patients and 5 healthy donors to determine the expression of representative proteins or genes using WB, ELISA, and RT-qPCR. Results: A total of 297 differentially expressed genes (DEGs) were associated with AD, 18 NETs genes showed potential diagnostic value. NETs genes expression effectively distinguished AD patients into 2 subgroups. The AD1 cluster showed higher abundance of activated dendritic cells, monocytes, and neutrophils, the AD2 cluster showed higher levels of naive B cells, eosinophils, and activated NK cells. We randomly selected and measured the levels representative genes in AD patients. The levels of NETs and CCL2, TLR2 expressions were significantly increased, whereas the level of BDNF was significantly decreased in AD patients comparing with healthy controls. Conclusions: This study identified key NET genes including BDNF, CCL2, and TLR2 to be associated with AD pathogenesis and classification.
引用
收藏
页码:1027 / 1041
页数:15
相关论文
共 50 条
  • [41] Identification of early Alzheimer's disease subclass and signature genes based on PANoptosis genes
    Wang, Wenxu
    Lu, Jincheng
    Pan, Ningyun
    Zhang, Huiying
    Dai, Jingcen
    Li, Jie
    Chi, Cheng
    Zhang, Liumei
    Wang, Liang
    Zhang, Mengying
    FRONTIERS IN IMMUNOLOGY, 2024, 15
  • [42] Unearthing of Key Genes Driving the Pathogenesis of Alzheimer's Disease via Bioinformatics
    Zhao, Xingxing
    Yao, Hongmei
    Li, Xinyi
    FRONTIERS IN GENETICS, 2021, 12
  • [43] Identification of hub genes associated with cognition in the hippocampus of Alzheimer's Disease
    Liu, Yu-Jia
    Liu, Tian-Tian
    Jiang, Lin-Hao
    Liu, Qian
    Ma, Zheng-Liang
    Xia, Tian-Jiao
    Gu, Xiao-Ping
    BIOENGINEERED, 2021, 12 (02) : 9598 - 9609
  • [44] Alzheimer’s Disease and Aging Association: Identification and Validation of Related Genes
    T. Liu
    K. Hou
    J. Li
    T. Han
    S. Liu
    Jianshe Wei
    The Journal of Prevention of Alzheimer's Disease, 2024, 11 : 196 - 213
  • [45] Identification of Genes Associated with Alzheimer's Disease using Evolutionary Computation
    Chen, Guangyao
    Sargant, James
    Houghten, Sheridan
    Collins, Tyler K.
    2021 IEEE CONFERENCE ON COMPUTATIONAL INTELLIGENCE IN BIOINFORMATICS AND COMPUTATIONAL BIOLOGY (CIBCB), 2021, : 59 - 67
  • [46] Alzheimer's Disease and Aging Association: Identification and Validation of Related Genes
    Liu, T.
    Hou, K.
    Li, J.
    Han, T.
    Liu, S.
    Wei, J.
    JPAD-JOURNAL OF PREVENTION OF ALZHEIMERS DISEASE, 2024, 11 (01): : 196 - 213
  • [47] Identification of candidate genes associated with clinical onset of Alzheimer's disease
    Liao, Wang
    Luo, Haoyu
    Ruan, Yuting
    Mai, Yingren
    Liu, Chongxu
    Chen, Jiawei
    Yang, Shaoqing
    Xuan, Aiguo
    Liu, Jun
    FRONTIERS IN NEUROSCIENCE, 2022, 16
  • [48] Identification and verification of genes associated with hypoxia microenvironment in Alzheimer’s disease
    Mingyang Yuan
    Yanjin Feng
    Mingri Zhao
    Ting Xu
    Liuhong Li
    Ke Guo
    Deren Hou
    Scientific Reports, 13
  • [49] Genes in Alzheimer's disease
    Hoenicka, J
    REVISTA DE NEUROLOGIA, 2006, 42 (05) : 302 - 305
  • [50] Identification of disulfidptosis-related genes and subgroups in Alzheimer's disease
    Ma, Shijia
    Wang, Dan
    Xie, Daojun
    FRONTIERS IN AGING NEUROSCIENCE, 2023, 15