IFN-γ Activates the TLR4-CCL5 Signaling Through Reducing Arginine Level, Leading to Enhanced Susceptibility of Bovine Mammary Epithelial Cells to Staphylococcus aureus.
Baijun LiuYanyi CheMeina ZhangWenbo RenXiaojing XiaHongtao LiuTinghao HuangJing HuangLiancheng LeiPublished in: Inflammation (2021)
Dairy cow mastitis is a common bacterial infectious disease which seriously threatens the development of the dairy cow industry. Previous studies have found that increased IFN-γ expression in dairy cows makes dairy cows more susceptible to mastitis, but the underlying mechanism is still not known. In this study, we utilized the in vitro bovine mammary epithelial cells (BMECs) model to explore the molecular mechanism via transcriptome sequencing technology, immunofluorescence, and Western blotting. It was found that IFN-γ promoted the adhesion and invasion of Staphylococcus aureus to BMECs through increasing the expression of TLR4-mediated CCL5 in BMECs. IFN-γ increased the activity of arginase II and reduced the level of arginine in cells, while the addition of arginine inhibited the expression of TLR4 and CCL5. An invasion experiment in mice further validated that IFN-γ treatment significantly increased the bacterial load in mammary glands and blood. However, the colonization and diffusion of S. aureus were interestingly decreased after Arg supplement. These data reveal that increased IFN-γ reduces arginine levels and activates TLR4-CCL5 signaling, leading to enhanced susceptibility of BMECs to S. aureus. Our findings are helpful to understand the pathogenesis of dairy cow mastitis and provide a theoretical basis for improvement of mastitis resistance in dairy cows.
Keyphrases
- dairy cows
- immune response
- dendritic cells
- staphylococcus aureus
- toll like receptor
- poor prognosis
- nitric oxide
- inflammatory response
- liver fibrosis
- liver injury
- cell migration
- single cell
- biofilm formation
- binding protein
- genome wide
- metabolic syndrome
- gene expression
- signaling pathway
- electronic health record
- amino acid
- south africa
- escherichia coli
- pseudomonas aeruginosa
- insulin resistance
- cell proliferation
- cell death
- rna seq
- adipose tissue
- machine learning
- artificial intelligence
- cell adhesion