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Updated: Jul 26, 2025

Author Spotlight: Advancing Alzheimer's Research – Exploring Early Detection and Multi-Omics Approaches
Published on: December 15, 2023
Uncovering neuroinflammation-related modules and potential repurposing drugs for Alzheimer's disease through
Shensuo Li1, Changhao Lu2, Zhenzhen Zhao1
1Shanghai Frontiers Science Center for Chinese Medicine Chemical Biology, Institute of Interdisciplinary Integrative Medicine Research, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Background:
Neuroinflammation is one of the key factors leading to neuron death and synapse dysfunction in Alzheimer's disease (AD). Amyloid-β (Aβ) is thought to have an association with microglia activation and trigger neuroinflammation in AD. However, inflammation response in brain disorders is heterogenous, and thus, it is necessary to unveil the specific gene module of neuroinflammation caused by Aβ in AD, which might provide novel biomarkers for AD diagnosis and help understand the mechanism of the disease.
Methods:
Transcriptomic datasets of brain region tissues from AD patients and the corresponding normal tissues were first used to identify gene modules through the weighted gene co-expression network analysis (WGCNA) method. Then, key modules highly associated with Aβ accumulation and neuroinflammatory response were pinpointed by combining module expression score and functional information. Meanwhile, the relationship of the Aβ-associated module to the neuron and microglia was explored based on snRNA-seq data. Afterward, transcription factor (TF) enrichment and the SCENIC analysis were performed on the Aβ-associated module to discover the related upstream regulators, and then a PPI network proximity method was employed to repurpose the potential approved drugs for AD.
Results:
A total of 16 co-expression modules were primarily obtained by the WGCNA method. Among them, the green module was significantly correlated with Aβ accumulation, and its function was mainly involved in neuroinflammation response and neuron death. Thus, the module was termed the amyloid-β induced neuroinflammation module (AIM). Moreover, the module was negatively correlated with neuron percentage and showed a close association with inflammatory microglia. Finally, based on the module, several important TFs were recognized as potential diagnostic biomarkers for AD, and then 20 possible drugs including ibrutinib and ponatinib were picked out for the disease.
Conclusion:
In this study, a specific gene module, termed AIM, was identified as a key sub-network of Aβ accumulation and neuroinflammation in AD. Moreover, the module was verified as having an association with neuron degeneration and inflammatory microglia transformation. Moreover, some promising TFs and potential repurposing drugs were presented for AD based on the module. The findings of the study shed new light on the mechanistic investigation of AD and might make benefits the treatment of the disease.
Insights
Researchers identified a specific gene module, the amyloid-β induced neuroinflammation module (AIM), linked to Alzheimer's disease (AD) pathology. This discovery offers potential new biomarkers and therapeutic targets for AD.
Area of Science:
- Neuroscience
- Genomics
- Molecular Biology
Background:
- Neuroinflammation is a critical factor in neuron death and synaptic dysfunction in Alzheimer's disease (AD).
- Amyloid-β (Aβ) peptides are implicated in activating microglia and driving neuroinflammation in AD.
- Understanding the specific gene modules of neuroinflammation in AD is crucial for identifying biomarkers and elucidating disease mechanisms.
Purpose of the Study:
- To identify a specific gene module associated with amyloid-β (Aβ) accumulation and neuroinflammation in Alzheimer's disease (AD).
- To explore the relationship between this module, neuronal health, and microglial activation.
- To discover potential diagnostic biomarkers and therapeutic targets for AD.
Main Methods:
- Weighted Gene Co-expression Network Analysis (WGCNA) was applied to transcriptomic data from AD and normal brain tissues.
- Key modules were identified based on their correlation with Aβ accumulation and neuroinflammatory markers.
- Single-nucleus RNA sequencing (snRNA-seq) data were used to investigate the module's association with neuronal and microglial populations.
- Transcription factor (TF) enrichment and SCENIC analysis identified upstream regulators, and drug repurposing was explored using network proximity methods.
Main Results:
- Sixteen co-expression modules were identified; the 'green' module, termed the amyloid-β induced neuroinflammation module (AIM), was significantly correlated with Aβ accumulation.
- AIM was primarily involved in neuroinflammation and neuron death, negatively correlated with neuronal percentage, and associated with inflammatory microglia.
- Several transcription factors (TFs) were identified as potential AD diagnostic biomarkers.
- Twenty potential drugs, including ibrutinib and ponatinib, were identified for AD repurposing.
Conclusions:
- A specific gene module, AIM, was identified as a key component of Aβ accumulation and neuroinflammation in AD.
- AIM is associated with neuronal degeneration and the transformation of microglia into inflammatory states.
- The study presents promising TFs and potential drug candidates for AD, offering new insights into disease mechanisms and treatment strategies.
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