Visual Cortex Metabolomics and Gene Expression in Alzheimer's Disease

Postmortem human visual cortex samples from control, mild cognitive impairment (MCI), and Alzheimer's disease (AD) subjects. Untargeted metabolomics and gene expression data were generated using liquid chromatography–mass spectrometry and quantitative PCR. The dataset was published by Ulrik N. Mjaaseth on figshare in April 2026.

Use Cases

• Analyzing disruptions in glucose metabolism based on metabolomic profiling results
• Correlating gene expression changes with disease progression based on reported correlations with Braak stage
• Investigating sex-stratified metabolic signatures based on the description of distinct pathways
• Examining links between inflammation and neurodegeneration based on elevated markers like TNF, IL1B, and GFAP
• Studying alterations in insulin signaling based on reported changes in IDE, INSR, and PTPN1 gene expression

Strengths

• Data includes samples from three distinct clinical groups: control, MCI, and AD
• Analysis integrates both metabolomic profiling and gene expression measurements
• Dataset is openly licensed under CC-BY-4.0

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 26.7 KB, indicating a very limited scope

Provenance

Source

figshare

Collection Method

Postmortem samples analyzed via untargeted metabolomics (LC-MS) and quantitative PCR.

Freshness

Last updated 2026-04-09 05:16:20