Plasma HSPA8 and White Matter Hyperintensity Data for Alzheimer's Disease Prediction

A 12.1 KB Excel dataset from figshare, last updated in April 2026, authored by Xueqin Yan. It contains proteomic and clinical data related to Alzheimer's disease, focusing on the chaperone-mediated autophagy protein HSPA8 and white matter hyperintensity volumes. The data was generated using 4D-DIA proteomics and ITK-SNAP software for volume assessment.

Use Cases

• Building predictive models for Alzheimer's disease based on plasma protein HSPA8 levels.
• Analyzing the relationship between white matter hyperintensity volume and cognitive decline.
• Evaluating the diagnostic performance of combined biomarkers (HSPA8, WMH, age, gender) using ROC curve analysis.
• Investigating the influence of age on white matter changes in cognitively normal and Alzheimer's disease populations.

Strengths

• Data is openly licensed under CC-BY-4.0.
• The study describes a specific methodological approach using 4D-DIA proteomics and ITK-SNAP software.
• Analysis includes multivariable logistic regression and sensitivity testing for age-diagnosis interaction.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset is very small at 12.1 KB, indicating limited scope.

Provenance

Source

figshare, author Xueqin Yan.

Collection Method

Employed 4D-DIA proteomics to identify plasma protein changes and ITK-SNAP software to assess WMH volume.

Time Range

null

Freshness

Last updated 2026-04-13 05:45:18; freshness should be verified.

Geography

null