ArticleFrontiers in molecular biosciences2024
Role of 14-3-3 protein family in the pathobiology of EBV in immortalized B cells and Alzheimer's disease.
Article in Frontiers in molecular biosciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
6 citing papers in PubMed.
- Recent Insights into the Role of Herpesviridae in Alzheimer's Disease: A Structured Narrative Review Based on a Systematic Literature Search.Neurology international · 2026Review
- Unveiling the proteomic landscape: Exploring differentially expressed proteins in patients with jaw cysts.Medicine · 2026Article
- Identification of Mitochondrial Dysfunction-Related Candidate Biomarkers and Analysis of the Immune Cell Infiltration in Epilepsy.Molecular neurobiology · 2026Article
- Tubulin transforms Tau and α-synuclein condensates from pathological to physiological.Nature communications · 2026Article
- Autoimmune signatures in neurodegenerative dementias: from peripheral immune activation to CNS pathology.Frontiers in immunology · 2026Review
- Intrauterine Growth-Restricted Pig-Associated Testicular Transcriptome Analysis Reveals microRNA-mRNA Regulatory Networks.Animals : an open access journal from MDPI · 2025Article
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Authors and funding
3 authors.
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Abstract
Background and Aims: Several studies have revealed that Epstein-Barr virus (EBV) infection raised the likelihood of developing Alzheimer's disease (AD) via infecting B lymphocytes. The purpose of the current investigation was to assess the possible association between EBV infection and AD. Methods: The microarray datasets GSE49628, GSE126379, GSE122063, and GSE132903 were utilized to extract DEGs by using the GEO2R tool of the GEO platform. The STRING tool was used to determine the interaction between the DEGs, and Cytoscape was used to visualize the results. The DEGs that were found underwent function analysis, including pathway and GO, using the DAVID 2021 and ClueGo/CluePedia. By using MNC, MCC, Degree, and Radiality of cytoHubba, we identified seven common key genes. Gene co-expression analysis was performed through the GeneMANIA web tool. Furthermore, expression analysis of key genes was performed through GTEx software, which have been identified in various human brain regions. The miRNA-gene interaction was performed through the miRNet v 2.0 tool. DsigDB on the Enrichr platform was utilized to extract therapeutic drugs connected to key genes. Results: In GEO2R analysis of datasets with |log2FC|≥ 0.5 and Conclusion: We have discovered new biomarkers and therapeutic targets for AD, as well as the possible biological mechanisms whereby infection with EBV may be involved in AD susceptibility for the first time.
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