Unraveling the molecular mechanisms in severe Alzheimer's disease based on transcriptomic data using next generation...

Area of Science:

• Neuroscience
• Genomics
• Molecular Biology

Background:

• Alzheimer's disease (AD) is a progressive neurodegenerative disorder characterized by cognitive decline.
• Understanding the molecular underpinnings of severe AD is crucial for developing effective interventions.

Purpose of the Study:

• To decipher the molecular mechanisms of severe Alzheimer's disease (AD) using transcriptomic data.
• To identify key molecular pathways and gene networks implicated in the pathophysiology of severe AD.

Main Methods:

• Transcriptomic data from the dorsolateral prefrontal cortex (DLPFC) of severe AD patients and controls were analyzed.
• Next-generation knowledge discovery (NGKD) techniques, including GEO2R, WebGestalt, and Ingenuity Pathway Analysis (IPA), were employed.
• Differentially expressed genes (DEGs) were identified and subjected to pathway and network analyses.

Main Results:

• Over 3,000 differentially expressed genes (DEGs) were identified in the DLPFC of severe AD patients.
• Downregulated pathways included retrograde endocannabinoid signaling, oxidative phosphorylation, and ribosome biogenesis.
• Enriched pathways involved immune system activation, neuroinflammation, antigen processing, and presentation.

Conclusions:

• Severe AD is associated with dysregulated energy metabolism, impaired protein synthesis, and altered immunological responses.
• Neuroinflammation and mitochondrial damage are key molecular pathways implicated in AD progression.
• Findings contribute to understanding AD pathophysiology and developing diagnostic and therapeutic strategies.