Astrocyte Metabolic Modeling Results for Alzheimer's Disease Progression

Andrea Angarita-Rodríguez published transcriptomic and metabolic modeling results for hippocampal CA1 tissue across control, early MCI, advanced MCI, and Alzheimer's disease stages. The dataset integrates transcriptomic profiles from GSE28146 with a genome-scale metabolic model to analyze astrocyte-specific vulnerabilities. It was last updated on June 2, 2026.

Use Cases

• Compare metabolic flux predictions across disease stages based on inferred astrocyte-associated expression programs.
• Validate model predictions of reduced metabolic flexibility using flux variability analysis results.
• Identify stage-specific metabolic reprogramming targets for therapeutic exploration based on pathway disruptions.
• Correlate transcriptional alterations with metabolic changes in glutamate-glutamine cycling and redox homeostasis.

Strengths

• Dataset is licensed under CC-BY-4.0, facilitating open reuse.
• Analysis integrates transcriptomic data with a curated human astrocyte genome-scale metabolic model.
• Results are validated through correlation with external reference signatures and an independent single-nucleus RNA-seq dataset.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The dataset is 128.9 KB, indicating a limited scope of results.

Provenance

Source

figshare

Collection Method

Transcriptomic profiles from hippocampal CA1 tissue (GSE28146) were analyzed and integrated into a genome-scale metabolic model using flux balance analysis.

Freshness

Last updated 2026-06-02 05:45:33; freshness should be verified.