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pmid:41127814
TGF-β1 promotes collagen synthesis in systemic sclerosis via upregulating P4HA3.
Zhaopeng Chen · Yinru Lin · Yayi Huang · Zhixian Chen · Yao Gong · Zhiduo Hou · Ling Lin
Journal of translational autoimmunity · 2025 doi:10.1016/j.jtauto.2025.100323
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Experiment
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Data
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Analysis
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Execution
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Complete file
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This study aimed to identify a potential antifibrotic therapeutic for the treatment of SSc.\nMethods: SSc bioinformatics data (GSE181549 and GSE138669) were obtained from the public Gene Expression Omnibus (GEO) database. Subsequently, we conducted differential analysis, Protein-protein interaction (PPI) network construction, gene enrichment analysis to identify a key fibrotic gene, followed by verification.\nResults: A total of 107 differentially expressed genes were identified through analysis between SSc patients and healthy controls. P4HA3 (α subunit of Collagen prolyl 4-hydroxylases, C-P4Hs) was identified by PPI network analysis. P4HA3 was the sole upregulated gene and positively correlated with the modified Rodnan skin score. PI3K/AKT signaling pathway was enriched by GSEA for single-gene to obtain P4HA3-related pathways. Single-cell analysis detected predominant TGF-β1 upregulation in immune cells, particularly in CD14 + CD16 - monocytes, and P4HA3 showed elevated expression in SFRP2 high fibroblasts. Immunohistochemistry indicated that P4HA3- and TGF-β1-positive cell numbers were elevated in the dermal layers of SSc patients. P4HA3 was also elevated in bleomycin-treated mice and TGF-β1-induced human fibroblasts. Inhibition of C-P4Hs ameliorated experimental fibrosis in bleomycin-treated mice and TGF-β1-induced human fibroblasts. Hydroxyproline levels were reduced following P4HA3 knockdown in human fibroblasts.\nConclusion: Our results suggest that P4HA3 is upregulated by TGF-β1 secreted from immune cells to promote collagen synthesis in SSc. Inhibition of C-P4Hs is a potential therapeutic approach for SSc fibrosis.", "claims": [{"id": "claim-method", "statement": "The raw counts of gene expression data in GSE181549 were normalized using the R package “Limma” (read.maimages, backgroundCorrect, and normalizeBetweenArrays) [17]. DEGs were filtered using the R package “Limma”. The threshold was determined as the adjusted p-value of <0.05 and |log2 fold change| >1.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:41127814", "locator": "sections[4] \"Screening of differentially expressed genes (DEGs)\" paragraph 2", "quote": "The raw counts of gene expression data in GSE181549 were normalized using the R package “Limma” (read.maimages, backgroundCorrect, and normalizeBetweenArrays) [17]. DEGs were filtered using the R package “Limma”. 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