ObjectivesTo systematically review the prevalence of rosacea in China.MethodsPubMed, The Cochrane Library, EMbase, CNKI, WanFang Data and VIP databases were electronically searched to collect literature of the prevalence of rosacea in China from inception to September 5th, 2018. Two reviewers independently screened literature, extracted data and then meta-analysis was performed by using Stata 12.0 software.ResultsA total of 54 studies were included. The pooled prevalence of rosacea from 44 population-based or community-based studies was 0.27% (95%CI 0.22 to 0.32) and from 10 hospital-based studies was 1.47% (95%CI 1.08 to 1.86). Based on population-based or community-based studies, the highest prevalence was in the early 1980s (2.19%), followed by a gradual decline, to the lowest (0.17%) in the early 1990s, after that the prevalence increased to 1.24% till 2015. Based on hospital-based studies, the prevalence had a maximum of 4.64% in the past decade. The Northwest China and North China had higher prevalence of rosacea (population-based or community-based studies: 1.24% in Northwest China, 1.1% in North China; hospital-based studies: 6.03% in Northwest China, 2.83% in North China). The prevalence in East China and South China was relatively low (population-based or community-based studies: 0.02% in East China and 0.32% in South China; Hospital-based studies: 0.28% in South China). The prevalence of rosacea in female (0.36%) was higher than that of male (0.19%) in population-based or community-based studies.ConclusionsIn China, the pooled prevalence of rosacea is 0.27% in population-based or community-based studies and 1.47% in hospital-based studies. Rosacea is common in North China and Northwest China. Female has higher prevalence than male.
Objective To screen the differentially expressed genes and pathways involved in rosacea using bioinformatics analysis. Methods The GSE65914 gene chipset was collected from the Gene Expression Omnibus (up to July 12th, 2021). It was searched according to the keyword “rosacea”. The data was analyzed by GEO2R platform. The common differential genes of three subtypes of rosacea were screened out. The online DAVID analysis tool was used to perform the gene ontology (GO) enrichment analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis. Protein-protein interaction networks of differentially expressed genes were made by String and Cytoscape. The key modules and genes were screened by Mcode and Cytohubba. Results A total of 957 common differential genes were identified, including 533 up-regulated genes and 424 down-regulated genes. GO enrichment analysis showed that these genes were mainly involved in immune response, inflammatory response, intercellular signal transduction, positive regulation of T cell proliferation, chemokine signaling pathways, cell surface receptor signaling pathways, cellular response to interferon-γ, and other biological processes. KEGG pathway enrichment analysis mainly included cytokine-cytokine receptor interaction, rheumatoid arthritis, chemokine signaling pathway, PPAR signaling pathway, Toll-like receptor signaling pathway, nuclear transcription factor-κB signaling pathway, tumor necrosis factor signaling pathway and other signaling pathways. Cytohubba analysis revealed 10 key genes, including PTPRC, MMP9, CCR5, IL1B, TLR2, STAT1, CXCR4, CXCL10, CCL5 and VCAM1. Conclusion The key genes and related pathways may play an important role in the pathogenesis of rosacea.
In May 2021, the British Association of Dermatologists (BAD) published the latest guideline for the management of individuals with rosacea and put forward recommendations on the etiology, natural history, treatment, prognosis, and follow-up of rosacea. This paper aimed to provide references for the diagnosis and treatment of rosacea in China by interpreting the main content of the guideline and comparing it with related guidelines domestically and abroad.