Postmortem human visual cortex samples were analyzed using liquid chromatography–mass spectrometry metabolomics and quantitative PCR. The dataset likely contains measurements of metabolites and gene expression levels from control, mild cognitive impairment (MCI), and Alzheimer's disease (AD) subjects. It was authored by Ulrik N. Mjaaseth and last updated on 2026-04-09.
Use Cases
- Identify metabolic pathway disruptions based on untargeted metabolomics profiling
- Analyze correlations between gene expression changes and tau pathology based on Braak stage
- Compare metabolic signatures between sexes based on sex-stratified analyses
- Investigate links between inflammation and neurodegeneration based on inflammatory marker levels
Strengths
- Data includes sex-stratified analyses, revealing distinct metabolic signatures
- Focus on the visual cortex provides a unique perspective on early metabolic changes
- Combines metabolomic profiling with gene expression data for a multi-modal view
Limitations
- Row count is unknown, which may limit suitability assessment
- Column-level documentation is absent; field semantics must be inferred after download
- Data is 5.7 KB, indicating a very limited scope and likely small sample size
Provenance
- Source
- figshare
- Collection Method
- Postmortem samples analyzed via untargeted metabolomics (LC-MS) and quantitative PCR
- Freshness
- Last updated 2026-04-09 05:16:18; freshness should be verified