Biomarker Data for Alzheimer's Disease Diagnosis: baPWV and hsa_circ_0093884

A dataset of 125 subjects (58 Alzheimer's disease, 31 mild cognitive impairment, 36 non-cognitive impairment) collected for a clinical study. It contains measurements of brachial-ankle pulse wave velocity (baPWV), levels of exosomal circRNA hsa_circ_0093884, and Comprehensive Geriatric Assessment scores. The dataset was authored by Ying Chen and last updated on May 14, 2026.

Use Cases

• Building diagnostic classification models based on arterial stiffness (baPWV) and exosomal circRNA levels.
• Investigating correlations between vascular aging biomarkers and cognitive assessment scores.
• Validating the predictive power of composite biomarker models using ROC curve analysis.
• Studying the mechanistic role of the miR-375/SIX4 axis in Alzheimer's disease pathology.

Strengths

• Includes data from 125 clinically characterized subjects across three diagnostic groups.
• Model performance metrics are provided, including an AUC of 0.943 for a composite diagnostic model.
• Key predictors were validated using bootstrap resampling (1,000 resamplings).

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 9.4 KB, indicating limited scope.

Provenance

Source

figshare

Collection Method

Clinical measurements and laboratory assays from a research study.

Freshness

Last updated 2026-05-14 05:33:08; freshness should be verified.