Supplementary file 1_Longitudinal plasma proteomics identifies diagnostic and response-ass

Hongyang Zhang published a dataset on 2026-04-24 containing longitudinal plasma proteomic profiles from a clinical study. The data includes measurements of 92 inflammation-related proteins from 10 patients with moderate-to-severe psoriasis before and during secukinumab therapy, plus 10 healthy controls. It was generated using the Olink Target 96 Inflammation panel and validated by ELISA.

Use Cases

• Identify diagnostic biomarkers for psoriasis based on baseline plasma protein levels.
• Analyze longitudinal changes in inflammatory mediators in response to IL-17A inhibitor therapy.
• Correlate specific protein levels, such as IL-17C, with clinical disease severity scores.
• Cluster temporal expression patterns of immune-related proteins using time-series analysis.
• Perform functional enrichment analysis on differentially expressed proteins to map involved biological pathways.

Strengths

• Includes longitudinal data from patients before and during a specific biologic therapy.
• Quantifies 92 inflammation-related proteins using a standardized Olink panel.
• Contains a matched control group of 10 healthy individuals for comparison.

Limitations

• The sample size is small with only 10 patients and 10 controls.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.

Provenance

Source

figshare

Collection Method

Plasma samples analyzed using Olink Target 96 Inflammation panel and ELISA validation.

Freshness

Last updated 2026-04-24 05:40:20; freshness should be verified.