bPRIDE: Plasma Proteomics Data for Neurodegenerative Dementia Biomarker Discovery

The bPRIDE project generated plasma proteomics datasets from international multicenter cohorts for Alzheimer's disease, dementia with Lewy bodies, and frontotemporal dementia. Giovanni Bellomo deposited 26.6 MB of processed proteomics data in XLSX format, last updated in May 2026. The data includes discovery and validation cohorts used for biomarker identification and model development.

Use Cases

• Identifying diagnostic protein biomarkers based on plasma proteomic profiles for Alzheimer's disease, dementia with Lewy bodies, and frontotemporal dementia.
• Developing multivariable classification models based on proximity extension assay (PEA) measurements from discovery and validation cohorts.
• Performing statistical analyses for the differential diagnosis and molecular staging of neurodegenerative dementias.

Strengths

• Data originates from a dedicated international multicenter research project (bPRIDE) with a clear scientific aim.
• Includes both discovery and validation cohorts, which suggests a structured approach to biomarker identification.
• Files are 26.6 MB in size and available in the structured XLSX format.

Limitations

• Individual-level clinical metadata are not fully publicly released due to privacy restrictions.
• Row count and specific column-level documentation are unknown, which may limit suitability assessment.
• Data may reflect geographic or cohort bias inherent to the specific multicenter study design.

Provenance

Source

Giovanni Bellomo via the bPRIDE (blood Proteins for early Discrimination of dEmentias) project.

Collection Method

Large-scale plasma proteomic profiling using proximity extension assay (PEA) technology.

Freshness

Last updated 2026-05-12 14:40:54.

Geography

International multicenter cohorts.