Postmortem Visual Cortex Metabolomics in Alzheimer's Disease and Mild Cognitive Impairment

Postmortem human visual cortex samples from control, mild cognitive impairment (MCI), and Alzheimer's disease subjects were analyzed using untargeted metabolomics and quantitative PCR. The dataset likely contains measurements of metabolites and gene expression levels for glycolytic enzymes, mitochondrial regulators, and inflammatory markers. It was created by Ulrik N. Mjaaseth and last updated in April 2026.

Use Cases

• Identify metabolic pathway disruptions based on untargeted metabolomics profiling
• Analyze correlations between gene expression changes and tau pathology based on Braak stage correlations
• Compare sex-stratified metabolic signatures within glucose and mitochondrial pathways
• Investigate alterations in insulin signaling based on IDE, INSR, and PTPN1 gene expression levels

Strengths

• Data includes samples from three distinct clinical groups: control, MCI, and Alzheimer's disease subjects
• Analysis combines two methodologies: untargeted metabolomics and quantitative PCR gene expression
• Sex-stratified analyses are performed, revealing distinct metabolic signatures

Limitations

• Row count is unknown, which may limit suitability assessment
• Column-level documentation is absent; field semantics must be inferred after download
• Data is derived from postmortem samples, which may introduce specific biases

Provenance

Source

figshare

Collection Method

Postmortem human visual cortex samples analyzed via liquid chromatography–mass spectrometry and quantitative PCR.

Freshness

Last updated 2026-04-09 05:16:19