Astrocyte Metabolic Model Fluxes for Alzheimer's Disease Progression

Transcriptomic and metabolic modeling data from a study analyzing hippocampal CA1 tissue across four clinical conditions: control, early MCI, advanced MCI, and Alzheimer's disease. The dataset, created by Andrea Angarita-Rodríguez and last updated in June 2026, contains results from flux balance and flux variability analyses integrated with a human astrocyte genome-scale metabolic model.

Use Cases

• Analyze stage-dependent metabolic flux changes based on inferred astrocyte-associated expression programs.
• Validate model predictions of metabolic flexibility in pathways like glutamate-glutamine cycling and glutathione metabolism.
• Compare transcriptional and metabolic remodeling between early and advanced mild cognitive impairment stages.

Strengths

• Data is derived from a curated human astrocyte genome-scale metabolic model.
• Analysis covers four distinct clinical conditions along the control-MCI-AD continuum.
• Results are validated against an independent single-nucleus RNA-seq astrocyte pseudobulk dataset.
• The dataset is licensed under CC-BY-4.0, allowing for open reuse.

Limitations

• The dataset is small at 92.0 KB, indicating limited scope.
• Row count and column-level documentation are unknown, requiring manual inspection after download.
• Data freshness should be verified as the last update is dated in the future (2026-06-02).

Provenance

Source

Transcriptomic profiles from hippocampal CA1 tissue (GSE28146).

Collection Method

Integrated transcriptomic analysis and genome-scale metabolic modeling using flux balance analysis (FBA) and flux variability analysis (FVA).

Freshness

Last updated 2026-06-02 05:45:34