Identification of novel candidate genes in rosacea by bioinformatic methods.

BACKGROUND: Rosacea is a chronic inflammatory skin disease whose psychological consequences severely affect patient's quality of life. OBJECTIVE: To identify candidate genes of rosacea for potential development of new target therapies. METHODS: Gene Expression Omnibus datasets were retrieved to obtain differentially expressed genes (DEGs) between rosacea patients and healthy controls. Gene ontology (GO) analyses were used to identify functions of candidate genes. Related signaling pathways of DEGs were analyzed using Kyoto Encyclopedia of Genes and Genomes (KEGG) and gene set enrichment analysis. Protein-protein interaction (PPI) networks were applied using search tools for the retrieval of interacting genes/proteins and modulations involving PPI networks were evaluated with use of the MCODE app. RESULTS: Samples from 19 rosacea patients and 10 healthy controls of dataset GSE65914 were enrolled. A total of 215 DEGs, 115 GO terms and 6 KEGG pathways were identified. A total of 182 nodes and 456 edges were enriched in PPI networks. Maximal clusters showed 15 central nodes and 96 edges. The toll-like receptor (TLR) signaling pathway was the most significant pathway detected and 5 DEGs were identified as candidate genes which included TLR2, C-C motif chemokine (CCL) 5, C-X-C motif chemokine ligand (CXCL) 9, CXCL10 and CXCL11. The results were verified in rosacea patients with use of real-time polymerase chain reaction and immunohistochemistry. Cell-type enrichment analysis revealed 8 lymphocytes that were enriched in rosacea patients. CONCLUSIONS: The results suggest that both innate and adaptive immune responses were involved in the etiology of rosacea. Five DEGs in the TLR signaling pathway may serve as potential therapeutic target genes.

Antimicrobial photodynamic therapy in skin wound healing: A systematic review of animal studies.

Bacterial infection is a common wound complication that can significantly delay healing. Classical local therapies for infected wounds are expensive and are frequently ineffective. One alternative therapy is photodynamic therapy (PDT). We conducted a systematic review to clarify whether PDT is useful for bacteria-infected wounds in animal models. PubMed and Medline were searched for articles on PDT in infected skin wounds in animals. The language was limited to English. Nineteen articles met the inclusion criteria. The overall study methodological quality was moderate, with a low-moderate risk of bias. The animal models were mice and rats. The wounds were excisional, burn, and abrasion wounds. Wound size ranged from 6 mm in diameter to 1.5 × 1.5 cm2 . Most studies inoculated the wounds with Pseudomonas aeruginosa or methicillin-resistant Staphylococcus aureus. Eleven and 17 studies showed that the PDT of infected wounds significantly decreased wound size and bacterial counts, respectively. Six, four, and two studies examined the effect of PDT on infected wound-cytokine levels, wound-healing time, and body weight, respectively. Most indicated that PDT had beneficial effects on these variables. PDT accelerated bacteria-infected wound healing in animals by promoting wound closure and killing bacteria.

[Molecular genetic analysis for the A3 alleles].

To study four A(3) subgroup samples identified by serologic tests, among which two belong to a family, three were A(3) subgroup, one was A(3)B subgroup. All four samples were genotyped by PCR-SSP method, and the nucleotide sequences of Exon 6, Exon 7 and part introns at the ABO locus for these samples were detected by ABI Prism 3100 DNA sequencer. Comparison with the consensus of A101 was performed. The results showed that haplotypes of two A(3) subgroups were common A102 allele and O1-2 allele, and haplotypes of one A(3) subgroup were common A102 allele and rare O(1v)-4 allele. Unexpectedly, a synonymous substitution 838C-->T had been found in A allele of the A(3)B subgroup sample, which predict a Leu280Phe alteration. The results suggested that molecular genetic background of the A(3) phenotypes is polymorphic. Possibly, the missense mutation 838C-->T is the molecular genetic basis of A(3)B subgroup that lead to low activity of the glycosyltransferases.