Dupuytren Disease Diagnostic Proteomic Risk Scores from Plasma Analysis

A multi-omic pilot study by Blake Hummer, last updated in March 2026, created diagnostic proteomic risk scores for Dupuytren Disease. It compares plasma from DD patients with healthy controls, measuring 6995 serum protein aptamers and identifying 68 significantly different proteins. The dataset includes hypothesis-free and hypothesis-based Diagnostic Proteomic Risk Scores (DPRS) that achieved 76.5% and 70.6% accuracy, respectively, in distinguishing DD from controls.

Use Cases

• Develop diagnostic biomarker panels for Dupuytren Disease based on the 68 identified proteins.
• Train classification models to distinguish Dupuytren from control subjects using the hypothesis-free DPRS.
• Investigate disease progression rates using the hypothesis-based DPRS linked to age at first corrective procedure.
• Study collagen metabolism in fibrotic disorders based on findings of impaired Collagen I degradation.

Strengths

• Includes results from analysis of 6995 serum protein aptamers.
• Identified 68 proteins with statistically significant differences between disease and control groups.
• Provides two distinct Diagnostic Proteomic Risk Scores (DPRS) with reported accuracies of 76.5% and 70.6%.

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 5.5 KB, indicating limited scope.

Provenance

Source

figshare, authored by Blake Hummer.

Collection Method

Multi-omic study comparing DD patient plasma with a healthy control group.

Time Range

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Freshness

Last updated 2026-03-18 17:26:16; freshness should be verified.

Geography

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