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Topic: neuroendocrine signaling

ePoster
1 ePoster

In Bio-Informatics and Biology

OBJECTIVE: Alzheimer's disease (AD) stands as the prevalent neurodegenerative condition globally, characterized by symptoms such as memory loss, language difficulties, disorientation, diminished motivation, self-neglect, mood fluctuations, and behavioral challenges. Despite its widespread impact, the precise cellular mechanisms underlying the onset of AD remain elusive. This study aims to uncover potential pathophysiological contributors to AD by analyzing gene expression levels through bioinformatics approaches. METHODS: GSE129296 dataset downloaded from Gene Expression Omnibus (GEO) database