Genes related to neurotransmitter receptors as potential biomarkers for Alzheimer's disease

被引:1
|
作者
Chen, Wei [1 ]
Zhang, Taoyuan [2 ]
Zhang, Hui [2 ]
机构
[1] Xian Fourth Hosp, Xian Peoples Hosp, Neurosurg Dept, Xian 710100, Shaanxi, Peoples R China
[2] Xijing Hosp, Dept Anesthesiol & Perioperat Med, Xian 710032, Peoples R China
关键词
Neurotransmitter receptor; Alzheimer's disease; Biomarker; Gene;
D O I
10.1016/j.neulet.2024.137816
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
Introduction: Alzheimer's disease (AD) is a leading cause of dementia and is rapidly emerging as one of the costliest and most burdensome diseases. Neurotransmitter receptors play a vital role in many neuronal processes, primarily regulating signal inhibition within the brain to facilitate cell communication. Objectives: Our research aims to identify potential biomarkers associated with AD and how these biomarkers impact immune infiltration. Methods: We extracted mRNA expression data from the Gene Expression Omnibus (GEO) database. Weighted gene co-expression network analysis (WGCNA) and differential expression analysis were employed to identify hub genes as biomarkers in AD. The Kyoto Encyclopedia of Genes and Genomes (KEGG), Gene Ontology (GO), and Gene Set Variation Analysis (GSVA) were used for functional enrichment. Furthermore, we examined 22 immune cell types infiltration using "CIBERSORT". Results: In this study, we identified 70 neurotransmitter receptor genes showing differential expression in AD: 22 were up-regulated, and 48 were down-regulated. Functional analyses indicated these genes were involved in essential biochemical pathways, including G protein-coupled receptors, neurotransmitter receptor activity, and ion channel interactions. WGCNA generated three co-expression modules, with one demonstrating the strongest association with AD. Five key NRGs (HTR3C, HTR3E, ADRA2A, HTR3A, and ADRA1D) were identified using a combination of differential genes. These genes have better diagnostic value by ROC analysis. Immune infiltration analysis showed that these genes were closely associated with the levels of resting mast cells, activated natural killer (NK) cells, and plasma cells in AD compared to controls. Conclusion: Our study identified five NRGs (ADRA1D, ADRA2A, HTR3A, HTR3C, and HTR3E) with significant associations with AD. These findings may offer promising sights for further studies.
引用
收藏
页数:8
相关论文
共 50 条
  • [31] Salivary Biomarkers for Alzheimer's Disease and Related Disorders
    Ashton, Nicholas J.
    Ide, Mark
    Zetterberg, Henrik
    Blennow, Kaj
    NEUROLOGY AND THERAPY, 2019, 8 (SUPPL 2) : S83 - S94
  • [32] A Study on Autophagy Related Biomarkers in Alzheimer’s Disease Based on Bioinformatics
    Jian Li
    Wenjia Liu
    Wen Sun
    Xin Rao
    Xiaodong Chen
    Liyang Yu
    Cellular and Molecular Neurobiology, 2023, 43 : 3693 - 3703
  • [33] Salivary Biomarkers for Alzheimer’s Disease and Related Disorders
    Nicholas J. Ashton
    Mark Ide
    Henrik Zetterberg
    Kaj Blennow
    Neurology and Therapy, 2019, 8 : 83 - 94
  • [34] Neuropsychological Parameters as Potential Biomarkers for Alzheimer’s Disease
    Jinglong Wu
    Yinghua Yu
    Jiajia Yang
    Current Translational Geriatrics and Experimental Gerontology Reports, 2012, 1 (2): : 68 - 75
  • [35] Integrated Bioinformatic Analysis and Validation Identifies Immune Microenvironment-Related Potential Biomarkers in Alzheimer's Disease
    Yang, F.
    Zhang, N.
    Ou, G. -Y
    Xu, S-W
    JPAD-JOURNAL OF PREVENTION OF ALZHEIMERS DISEASE, 2024, 11 (01): : 13 - 21
  • [36] Blood Biomarkers in Alzheimer's Disease
    Mandal, Pravat K.
    Maroon, Joseph C.
    Garg, Arun
    Arora, Narendra Kumar
    Bansal, Rishu
    Kaushik, Aditi
    Samkaria, Avantika
    Kumaran, Gayathri
    Arora, Yashika
    ACS CHEMICAL NEUROSCIENCE, 2023, 14 (22): : 3975 - 3978
  • [37] Identification and Validation of Aging-Related Genes in Alzheimer's Disease
    Zhang, Qian
    Li, Jian
    Weng, Ling
    FRONTIERS IN NEUROSCIENCE, 2022, 16
  • [38] Amyloid biomarkers in Alzheimer's disease
    Blennow, Kai
    Mattsson, Niklas
    Scholl, Michael
    Hansson, Oskar
    Zetterberg, Henrik
    TRENDS IN PHARMACOLOGICAL SCIENCES, 2015, 36 (05) : 297 - 309
  • [39] Imaging and biomarkers for Alzheimer's disease
    Allan, Charlotte L.
    Sexton, Claire E.
    Welchew, David
    Ebmeier, Klaus P.
    MATURITAS, 2010, 65 (02) : 138 - 142
  • [40] Use of ocular biomarkers as a potential tool for early diagnosis of Alzheimer's disease
    Singh, Ajay K.
    Verma, Shilpa
    INDIAN JOURNAL OF OPHTHALMOLOGY, 2020, 68 (04) : 555 - 561