Olfactory Proteomic Biomarkers Linked to Cognitive Performance in Older Adults

Tamal Sadhukhan's dataset contains proteomic profiles from nasal exfoliates of 108 adults aged 55–85 years from the Washington, DC region. It identifies 137 proteins correlated with logical memory test performance, with six top proteins previously linked to Alzheimer's disease. The data was last updated on 2026-05-21.

Use Cases

• Train models to predict cognitive performance scores based on olfactory proteomic signatures.
• Identify biological pathways associated with neurodegenerative diseases using the 137 significant proteins.
• Validate previously known Alzheimer's disease biomarkers (e.g., PLOD1, MFN2, NGFR) in an accessible tissue source.
• Explore the feasibility of the olfactory mucosa as a site for longitudinal biomarker monitoring in aging populations.

Strengths

• Data is from a cohort of 108 clinically assessed older adults.
• Analysis identified 137 proteins significantly associated with cognitive performance after false discovery rate correction.
• Six of the top ten significant proteins have established links to Alzheimer's disease or cognitive function.

Limitations

• Row count and column-level documentation are unknown, limiting suitability assessment.
• The dataset is small at 42.7 KB, indicating limited scope.
• Data may reflect geographic bias inherent to the Washington, DC region cohort.

Provenance

Source

figshare

Collection Method

Proteins extracted from nasal exfoliates were analyzed by mass spectrometry.

Freshness

Last updated 2026-05-21 05:53:25; freshness should be verified.

Geography

Washington, DC region