Dupuytren Disease Proteomic Risk Scores and Collagen Metabolism Data

A multi-omic pilot study by Blake Hummer, last updated in March 2026, comparing plasma from Dupuytren Disease (DD) patients with healthy controls. The dataset includes measurements of 6995 serum protein aptamers and circulating collagen metabolism peptides, leading to the identification of 68 significantly different proteins. It contains two Diagnostic Proteomic Risk Scores (DPRS) developed from hypothesis-free and hypothesis-based analyses.

Use Cases

• Developing diagnostic biomarker panels for Dupuytren Disease based on the 68 identified proteins.
• Training classification models to distinguish DD from control subjects using the provided Diagnostic Proteomic Risk Scores (DPRS).
• Investigating collagen metabolism in fibrotic disorders based on findings of impaired Collagen I degradation.
• Assessing disease progression rates in Dupuytren patients using the hypothesis-based DPRS linked to age at first procedure.

Strengths

• Includes results from a multi-omic study measuring 6995 serum protein aptamers.
• Identifies 68 proteins with statistically significant differences between disease and control groups.
• Provides two distinct Diagnostic Proteomic Risk Scores (DPRS) with reported classification accuracies of 76.5% and 70.6%.

Limitations

• Row count and column-level documentation are unknown, limiting suitability assessment.
• The dataset is very small at 5.5 KB, indicating limited scope, likely containing summary results rather than raw data.
• Description metadata is limited; actual data structure and field semantics must be inferred after download.

Provenance

Source

figshare, authored by Blake Hummer.

Collection Method

Plasma proteomic analysis comparing Dupuytren Disease patients with a healthy control group.

Time Range

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Freshness

Last updated 2026-03-18 17:26:17.

Geography

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