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2000
Volume 28, Issue 7
  • ISSN: 1386-2073
  • E-ISSN: 1875-5402
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Abstract

Background

Alzheimer’s Disease (AD) is a highly prevalent form of age-related dementia. However, the underlying mechanisms of AD are largely unexplored.

Materials and Methods

In this study, bioinformatics analysis was performed to identify the possible therapeutic targets for AD. The GEO database was used to screen the Differentially Expressed Genes (DEGs). Enrichment analysis, protein-protein interaction network, and LASSO model analyses were successfully performed. Furthermore, an ELISA assay was also conducted to determine the expression of principal genes within the AD and control samples.

Results

A total of 416 differentially expressed genes (DEGs) were recognized based on the GSE48350 and GSE28146 datasets. The IL-1β and CXCR4 levels were markedly elevated in the AD samples relative to the control.

Conclusion

The IL-1β and CXCR4 genes were identified as principal AD-related genes that can be targeted for anti-AD therapy.

© 2025 The Author(s). Published by Bentham Science Publishers. 
This is an open access article published under CC BY 4.0 https://creativecommons.org/licenses/by/4.0/legalcode
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/content/journals/cchts/10.2174/0113862073295516240508173238
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IL-1β and CXCR4 as Potential Therapeutic Targets for Alzheimer’s Disease
Comb Chem High Throughput Screen 28, 1220 (2025); https://doi.org/10.2174/0113862073295516240508173238
/content/journals/cchts/10.2174/0113862073295516240508173238
/content/journals/cchts/10.2174/0113862073295516240508173238
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  • Article Type:     Research Article
Keyword(s): Alzheimer’s disease; bioinformatics; biomarkers; differentially expressed genes; LASSO; protein-protein interaction

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