Systemic Sclerosis Biomarker Profiles and Pulmonary Function Trajectories for 92 Patients

A retrospective analysis of prospectively collected data from a multicenter cohort of 92 patients with early severe systemic sclerosis. The dataset includes serum levels of five chemokines and four soluble adhesion molecules at baseline, used to classify patients into three clusters with distinct pulmonary function trajectories over two years. The data was published by Saori Uesugi-Uchida under a CC-BY-4.0 license on figshare in April 2026.

Use Cases

• Clustering patients into biologically distinct subgroups based on serum biomarker profiles.
• Identifying biomarker patterns associated with divergent pulmonary function trajectories.
• Developing early risk stratification models for systemic sclerosis-associated interstitial lung disease (SSc-ILD).
• Analyzing the relationship between inflammatory, vascular, and fibrotic biomarker profiles and clinical outcomes.

Strengths

• Includes quantified serum levels for nine specific biomarkers (five chemokines and four adhesion molecules).
• Defines three distinct patient clusters with statistically significant differences in pulmonary function decline.
• Based on prospectively collected data from a multicenter cohort, suggesting standardized collection methods.

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 small (113.0 KB), indicating limited scope and sample size (n=92).

Provenance

Source

figshare

Collection Method

Retrospective analysis of prospectively collected clinical cohort data with serum biomarker quantification.

Time Range

The study period is not specified, but data is from patients with disease duration <5 years.

Freshness

Last updated 2026-04-20 05:23:42; freshness should be verified.

Geography

Multicenter cohort; specific geographic coverage is not stated.