Predictive gene expression signatures for Alzheimer’s disease using post-mortem brain tissue

Molecular signatures underlying regional vulnerability to AD provide a framework for understanding genetic and systemic factors in disease progression. Findings highlight specific molecular pathways, including ECM-related processes and hormonal regulation, as key drivers of susceptibility. Finally, identified drug repurposing candidates present promising therapeutic avenues for further investigation.

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Publication Details

Journal
Frontiers in Aging Neuroscience
Published
2025-10-02
DOI
https://doi.org/10.3389/fnagi.2025.1591946
Citations
1
Primary Topic
Bioinformatics and Genomic Networks
Type
article
Field-Weighted Citation Impact
0.81

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article

Predictive gene expression signatures for Alzheimer’s disease using post-mortem brain tissue

Andrius Baskys, Ashley H. Duche, Oliver Tan, Rachita K. Sumbria et al.
1 citations
Frontiers in Aging Neuroscience
Bioinformatics and Genomic Networks
0.81
article

Predictive gene expression signatures for Alzheimer’s disease using post-mortem brain tissue

Andrius Baskys, Ashley H. Duche, Oliver Tan, Rachita K. Sumbria, Moom R. Roosan
article en
1 citations

Abstract

Molecular signatures underlying regional vulnerability to AD provide a framework for understanding genetic and systemic factors in disease progression. Findings highlight specific molecular pathways, including ECM-related processes and hormonal regulation, as key drivers of susceptibility. Finally, identified drug repurposing candidates present promising therapeutic avenues for further investigation.

Frontiers in Aging NeuroscienceVol. 17
Chapman University (US), University of California, Irvine (US), Western University of Health Sciences (US)
Chapman University, National Institutes of Health
Openalex Percentile: Top 23%
Bioinformatics and Genomic Networks
0.81
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