Ángel R. Rábago-Monzón, Faculty of Medicine, Universidad Autónoma de Sinaloa, Culiacán, Sin., Mexico
Alberto K. De-La-Herrán-Arita, Faculty of Medicine, Universidad Autónoma de Sinaloa, Culiacán, Sin., Mexico
Josué Camberos-Barraza, Faculty of Medicine, Universidad Autónoma de Sinaloa, Culiacán, Sin., Mexico
Alexis M. Rodríguez-Rosas, Faculty of Medicine, Universidad Autónoma de Sinaloa, Culiacán, Sin., Mexico
Juan F. Osuna-Ramos, Faculty of Medicine, Universidad Autónoma de Sinaloa, Culiacán, Sin., Mexico
Background: Alzheimer’s disease (AD) is a multifactorial neurodegenerative pathology characterized by the accumulation of β-amyloid, neuroinflammation, and synaptic deterioration. While researchers have identified numerous risk genes, they have also studied genetic variants with potential neuroprotective effects less extensively. Objective: To analyze genes with potentially protective functions against AD using a bioinformatics approach to identify molecular pathways associated with neuroprotective mechanisms. Methods: We selected 15 candidate genes from a systematic review of scientific literature on PubMed between 2017 and 2024. Subsequently, the ShinyGO v8.01 tool was used to perform functional enrichment analysis and identify relevant metabolic and signaling pathways. Results: Pathways associated with cholesterol metabolism, neurotrophin signaling, and the NF-κB pathway were identified. Genes such as APOE ε2, KL, and ABCA1 are involved in moving fats around and controlling inflammation, whereas REST, BDNF, and DLGAP2 are linked to how brain connections change and how the body responds to stress. Conclusion: The results suggest that the analyzed genes are involved in key mechanisms linked to the progression of AD. Their study could contribute to the design of therapeutic strategies focused on neuroprotection.
Keywords: Alzheimer's disease. Bioinformatic. Neuroprotector. Neurodegenerative.
