Is Banner Display?
Off
Page Content
#ffffff

Identifying molecular markers in diabetic foot ulcer (DFU) may support improved diagnostic approaches in specific clinical subgroups. A proteomics study published in the Journal of Diabetes Research evaluated serum biomarkers in patients with DFU and dampness-heat syndrome.

The study used 4D data-independent acquisition proteomics to analyze serum samples from 16 patients with DFU and dampness–heat syndrome and 6 healthy controls. Differentially expressed proteins were identified using predefined thresholds. Bioinformatic analyses included Gene Ontology, Kyoto Encyclopedia of Genes and Genomes, and protein-protein interaction network assessments.

A total of 201 differentially expressed proteins were identified. Enrichment analysis showed involvement of lipid metabolism pathways, including high-density lipoprotein remodeling and cholesterol metabolism, as well as complement and coagulation cascades. Network analysis identified a core module centered on APOA1, LCAT, PLTP, and CETP.

Validation using enzyme-linked immunosorbent assay in 28 independent cases confirmed significant dysregulation of these proteins compared with controls (all p < 0.05). The combined biomarker panel showed high diagnostic performance with an area under the curve of 0.9672.

These findings identify a four-protein panel associated with DFU in patients with dampness-heat syndrome, demonstrating high diagnostic performance in this study setting.

Anonymous user
On
Authenticated user
On
Premium
On
Paid / Sponsored
On
Key highlights

  • Proteomics analysis compared 16 DFU patients with dampness-heat syndrome and 6 healthy controls.
  • A total of 201 differentially expressed proteins were identified (|fold change| >1.2; p < 0.05).
  • Core proteins included APOA1, LCAT, PLTP, and CETP, linked to lipid metabolism pathways.
  • Combined biomarker panel showed high diagnostic accuracy (AUC 0.9672) and was validated in 28 independent cases.
Source

Jiang J, Wang S, Ni Y, et al. Analysis of biomarkers in diabetic foot ulcer patients with dampness-heat syndrome based on 4D-DIA proteomics technology. J Diabetes Res. Published March 25, 2026. doi:10.1155/jdr/6604989

Thumbnail
AI Model Shows High Accuracy for DFU Infection Prediction
Schedule Date & Time
Speciality
Currency
Sub Speciality
Sub Sub Speciality
Short Description

A proteomics study identified APOA1, LCAT, PLTP, and CETP with high diagnostic accuracy (AUC 0.967) in DFU with dampness-heat syndrome.

Release Date
Is Paid
0
Send Notification
Off