Web Crawling and mRNA Sequencing Analyze Mechanisms of Photobiomodulation.

Abstract

Background: Photobiomodulation (PBM) is praised as a promising physical therapy, which has many advantages, such as being noninvasive and painless. However, the mechanisms are not fully elucidated. Methods: Using web crawling, mRNA sequence, and bioinformatics analysis, we selected genes, functional annotation, and mechanisms. The expressions of inflammatory cytokines were measured using quantitative real-time PCR (RT-qPCR). Results: A total of 146 human genes and 57 pathways were identified about PBM. The 630 nm light-emitting diode (LED)-stimulated-MH7A cells were sequenced to further analyze the mechanism of PBM. Two thousand nine hundred fifty differentially expressed genes were identified, and the gene ontology term enrichment analysis and Kyoto encyclopedia of genes and genomes pathway analysis were performed to better understand functions and pathways. The 12 pathways were matched with the KEGG results of PBM and MH7A cells. A protein-protein interaction network was performed among genes in 12 pathways, and 10 outstanding proteins were identified. Importantly, the 9 genes were predicted with potential research value. And we also demonstrated that expression of inflammatory factors [interleukin (IL)-6, IL-1β, IL-8, and matrix metalloproteinase-3 (MMP-3)] was reduced; meanwhile, the expression of anti-inflammatory factor IL-10 was promoted after 630 nm LED. Conclusions: Using web crawling, bioinformatics analysis, and mRNA sequence, we obtained 9 key genes and 12 important pathways about PBM. Importantly, we demonstrated the anti-inflammatory effect of 630 nm LED red light by RT-qPCR.