Lexuan Bi , Yaxin Liu , Lei Zhang , Xiaoli Zhang , Dong Wang
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引用次数: 0
Abstract
Introduction
Pressure Injury (PI) is a complex disease process which is influenced by multiple factors, among which ischemia-reperfusion (I/R) injury is closely related to the progression of PI. But its biomarkers are still unclearly. Understanding its physiological mechanisms and related molecular biomarkers is a key to developing effective prevention and therapeutic strategies.
Methods
This study through obtained the candidate genes of the differentially expressed genes (DEGs) from the PI rat model by transcriptome sequencing, PI single-cell sequencing database, and genes related to I/R injury from GeneCards database to analyze and screen prognostic related target genes. Gene Ontology (GO) and Kyoto Encyclopedia of Genomes (KEGG) pathway analysis were performed using clusterProfiler package, and a protein-protein interaction (PPI) network was constructed to identify hub genes. The genes related to I/R injury were identified and analyzed using three machine learning algorithms. Then, the hub genes were evaluated using nomogram and receiver operating characteristic (ROC) curves, and validated using immunohistochemistry in the PI rat model.
Results
There were finally 7 candidate genes obtained from the intersection of the three datasets. GO and KEGG pathway analysis revealed that the DEGs were enriched in complement and coagulation cascades, and the keratinocyte differentiation is a significant factor. Then, two hub genes Serine protease inhibitor clade E member 1 (SERPINE1) and Cathepsin L (CTSL) were identified through three machine learning algorithms. The two hub genes were indicated had a high prognosis value by nomogram and ROC curves. SERPINE1 and CTSL both play crucial roles in vasculogenesis, coagulation and degradation of the extracellular matrix, which is essential for wound healing. The results of immunohistochemistry demonstrated that SERPINE1 and CTSL are significantly upregulated in skin tissue from PI caused by I/R injury, and their mRNA expression levels significantly correlate with PI outcomes.
Conclusion
According to our research we referred that the SERPINE1 and CTSL might be the potential biomarkers of PI.
期刊介绍：
Tissue and Cell is devoted to original research on the organization of cells, subcellular and extracellular components at all levels, including the grouping and interrelations of cells in tissues and organs. The journal encourages submission of ultrastructural studies that provide novel insights into structure, function and physiology of cells and tissues, in health and disease. Bioengineering and stem cells studies focused on the description of morphological and/or histological data are also welcomed.
Studies investigating the effect of compounds and/or substances on structure of cells and tissues are generally outside the scope of this journal. For consideration, studies should contain a clear rationale on the use of (a) given substance(s), have a compelling morphological and structural focus and present novel incremental findings from previous literature.
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