Exploring the Associations between Alzheimer's Disease and GBM Mediated by Microglia Based on Network Analysis

C Zhang1, X Zhong, L Yi

  • 1Chunlong Zhang, College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China, zhangchunlong@hrbmu.edu.cn; Nan Wu, wunan@hrbmu.edu.cn, Yanjun Xu, xuyanjun@hrbmu.edu.cn.

Insights

This study reveals microglia-mediated pathways linking Alzheimer's disease (AD) and glioblastoma multiforme (GBM). It identifies shared genes and biological processes, offering potential biomarkers for early AD detection and glioma prognosis.

Area of Science:

  • Neuroscience
  • Oncology
  • Genomics

Background:

  • Epidemiological links exist between Alzheimer's disease (AD) and various cancers.
  • The underlying biological mechanisms connecting AD and brain tumors like glioblastoma multiforme (GBM) remain unclear.
  • Microglia, the brain's immune cells, are implicated in both neurodegenerative and oncogenic processes.

Purpose of the Study:

  • To investigate the transcriptome associations between AD and GBM using microglia as a central component.
  • To identify shared genes and molecular pathways connecting these two brain pathologies at the gene and network levels.
  • To discover potential biomarkers for early AD detection and prognostic models for glioma.

Main Methods:

  • Analysis of human single-cell RNA sequencing datasets from the Gene Expression Omnibus (GEO) database.
  • Identification of differentially expressed genes in microglia for both AD and GBM.
  • Application of network analysis algorithms (DIAMOnD, Flow Centrality) to uncover mediating pathways and modules.
  • Exploration of biological functions associated with identified mediating pathways.

Main Results:

  • 11 common differentially expressed genes were identified between AD and GBM in microglia.
  • Key mediating genes, FURIN and BACE1, were found to be involved in both amyloid-beta plaque formation in AD and cancer biology.
  • Mediating pathways highlighted roles in inflammatory response, lipid metabolism, and cell proliferation.
  • Novel signatures for early AD detection and glioma prognosis risk models were identified.

Conclusions:

  • This study presents a novel network-based strategy to understand microglia-mediated connections between AD and GBM.
  • Identified genes and pathways offer potential diagnostic and prognostic signatures for these distinct neurological and oncological conditions.
  • The findings underscore the critical role of microglia in bridging neurodegeneration and brain cancer.

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