Postmortem human visual cortex metabolomics data compares control, mild cognitive impairment, and Alzheimer's disease subjects. Untargeted liquid chromatography–mass spectrometry profiling reveals disruptions in glucose metabolism, mitochondrial function, and inflammatory markers. The dataset was created by Ulrik N. Mjaaseth and published on figshare in April 2026.
Use Cases
- Identify metabolic pathway disruptions based on glucose metabolism and mitochondrial function data
- Correlate gene expression changes with disease progression based on glycolytic enzyme and neuronal glucose transporter levels
- Analyze sex-stratified metabolic signatures based on shared and distinct pathway alterations
- Model relationships between metabolic decline and tau pathology based on correlations with Braak stage
Strengths
- Data includes three distinct subject groups: control, mild cognitive impairment, and Alzheimer's disease
- Analysis integrates metabolomic profiling with quantitative PCR gene expression data
- License is CC-BY-4.0, permitting open sharing and adaptation
Limitations
- Row count is unknown, which may limit suitability assessment
- Column-level documentation is absent; field semantics must be inferred after download
- Dataset size is 1.4 KB, indicating a very limited scope
Provenance
- Source
- figshare
- Collection Method
- Postmortem tissue samples analyzed via untargeted metabolomics and quantitative PCR.
- Freshness
- Last updated 2026-04-09 05:16:17; freshness should be verified