Abstract
BACKGROUND: Most existing studies on psoriasis' pathogenesis have focused on collecting epithelial cell gene sequences from psoriasis patients and normal subjects. In this paper, for the first time, high-throughput microarray was used to study the differential expression of genes in venous blood between patients with blood-heat psoriasis and normal subjects, providing theoretical support for studying the pathogenesis of blood-heat psoriasis. METHODS: Peripheral venous blood was collected from ten patients with blood-heat psoriasis and ten healthy volunteers for high-throughput microarray. The mRNAs, lncRNAs, and circRNAs related to blood-heat psoriasis were selected by analyzing the transcriptome microarray results. Then gene ontology (GO) analysis and KEGG signaling pathway analysis were used to explore further the biological functions of these mRNAs, lncRNAs, and circRNAs in blood-heat pathogenesis psoriasis. Network pharmacology was used to analyze the protein-protein interaction (PPI) network of the genes with differential expression, and the core genes to transmit information were obtained. RESULTS: A total of 205 circRNAs, 393 lncRNAs, and 157 mRNAs with differential expression associated with psoriasis were selected using high-throughput microarray. GO analysis showed these mRNAs, lncRNAs, and circRNAs were mainly enriched in cellular processes, biological regulation, ribosome formation, and negative regulation of protein binding. However, KEGG enrichment analysis suggested they were mainly enriched in autoimmunity pathways, lipid metabolism, translation, and signal transduction. PPI network analysis of mRNAs with significant difference revealed 11 core genes that transmitted information in psoriasis primarily. CONCLUSIONS: The mRNAs, lncRNAs, and circRNAs with differential expression related to the pathogenesis of blood-heat psoriasis were found using high-throughput microarray for the first time. And the mRNAs, lncRNAs, and circRNAs with potential regulatory functions related to blood-heat psoriasis were then screened by bioinformatics analysis, effectively providing a new research entry point to the pathogenesis of blood-heat psoriasis.