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Updated: Oct 17, 2026
Human Dupuytren's Ex Vivo Culture for the Study of Myofibroblasts and Extracellular Matrix Interactions
Published on: April 18, 2015
Integrated bulk and single-cell transcriptomic analyses with experimental validation identify PLOD1 as a diagnostic
Xianjie Lin1, Mingming Wang1, Yutian Lin1
1Department of Hand Surgery and Wound Repair Surgery, Wenzhou Medical College Affiliated Yueqing Hospital, Wenzhou, China.
Background:
Dupuytren's disease (DD) is a progressive fibroproliferative disease characterized by palmar fascia fibrosis, extracellular matrix deposition, and finger contractures. Reliable diagnostic biomarkers and regulatory mechanisms have not yet been fully defined.
Methods:
Firstly, integrate the public transcriptome datasets GSE59746 and GSE75152. Then, limma was used to identify differentially expressed genes (DEGs) and combined with Weighted Gene Co expression Network Analysis (WGCNA) to screen candidate genes related to DD. PPI network analysis, functional enrichment, and four machine learning algorithms (LASSO, Boruta, Random Forest, and SVM-RFE) were applied to identify key biomarkers. Use CIBERSORT to assess immune infiltration. Analyze the single-cell RNA sequencing dataset GSE173252 to determine cell localization and pseudo time series analysis. Virtual knockout analysis is used to predict downstream regulatory targets. In vitro validation was conducted using TGF - β 1 stimulation and SB431542 inhibition.
Results:
A total of 598 DEGs were identified, and the WGCNA brown module showed the strongest correlation with DD. Cross analysis identified 346 candidate genes, mainly enriched in extracellular matrix tissue, collagen containing matrix, and collagen trimer formation. Procollagen-lysine, 2-oxoglutarate 5-dioxygenase 1 (PLOD1) has been identified as the only overlapping biomarker among the four machine learning algorithms. PLOD1 is significantly upregulated in DD tissues and exhibits strong diagnostic performance, with an AUC of 0.908. Immunoassay showed a decrease in M0 macrophage infiltration, while there was a positive correlation between PLOD1 and M2 macrophages. Single cell analysis showed that PLOD1 was mainly enriched in chondrocyte related populations and increased along the late pseudotime trajectory. Virtual knockout indicates that FGF7 is a key downstream gene. TGF - β 1 significantly induces PLOD1 and pro fibrotic markers, while SB431542 inhibits these effects.
Conclusion:
PLOD1 is a promising biomarker and potential functional regulator for DD diagnosis, closely related to extracellular matrix remodeling, pro fibrotic signaling, and immune microenvironment changes.