AccScience Publishing / BH / Online First / DOI: 10.36922/bh.2906
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ORIGINAL RESEARCH ARTICLE

Deciphering molecular atlas of Alzheimer’s disease: A comprehensive bioinformatic analysis of gene expression and protein interaction networks

Shan Luo1† ,  Yifei Wang1† ,  Kohji Fukunaga2*
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1 Department of Integrated Biosciences, Graduate School of Frontier Sciences, The University of Tokyo, Kashiwa, Chiba, Japan
2 Department of CNS Drug Innovation, Graduate School of Pharmaceutical Sciences, Tohoku University, Sendai, Miyagi, Japan
Brain & Heart, 2906 https://doi.org/10.36922/bh.2906
Submitted: 8 February 2024 | Accepted: 23 May 2024 | Published: 29 August 2024
© 2024 by the Author(s). This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution 4.0 International License ( https://creativecommons.org/licenses/by/4.0/ )
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Abstract

Alzheimer’s disease (AD) represents a formidable challenge in the realm of neurodegenerative research due to its complex pathology. Despite tremendous scientific endeavors, the intricate molecular underpinnings of AD remain incompletely understood, necessitating a multidimensional approach to decipher its complexity. In this study, we analyzed differential gene expression, gene ontology (GO) enrichment, and protein–protein interaction (PPI) networks using advanced bioinformatics tools to dissect the molecular landscape of AD. Initially, our research identified 732 differentially expressed genes (DEGs), which provided a comprehensive view of the genetic disruptions associated with AD. The results of subsequent GO enrichment analyses revealed that DEGs were enriched in several critical biological processes, predominantly including translation, neuroinflammation, and synaptic functionality, underscoring the multifaceted nature of AD pathology. The PPI network analysis further unveiled the central role of ribosomal proteins, such as RPL12, RPL15, RPL18, RPL19, RPL27, RPL35, RPL36, RPS16, RPS19, and RPS9, establishing a novel link between protein synthesis disruptions and the molecular mechanisms of AD. These results not only deepen the understanding of molecular mechanisms underlying AD but also illuminate potential therapeutic pathways and biomarkers for AD. Overall, our comprehensive bioinformatics exploration unraveled the complex molecular mechanisms that govern AD pathogenesis and highlighted promising new targets for the diagnosis and treatment of AD, creating a foundational framework for future research on AD.

Keywords
Alzheimer’s disease
Differential gene expression
Bioinformatics
Protein–protein interaction
Molecular mechanisms
Funding
None.
Conflict of interest
The authors declare that they have no competing interests.
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Brain & Heart, Electronic ISSN: 2972-4139 Published by AccScience Publishing
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