CD200 as a Potential New Player in Inflammation during Rotator Cuff Tendon Injury/Repair: An In Vitro Model.
Raffaella GiancolaFrancesco OlivaMarialucia GalloriniNoemi MichettiClarissa GissiFadl MoussaCristina Antonetti Lamorgese PasseriAlessia ColosimoAnna Concetta BerardiPublished in: International journal of molecular sciences (2022)
Rotator cuff tendon (RCT) disease results from multifactorial mechanisms, in which inflammation plays a key role. Pro-inflammatory cytokines and tendon stem cell/progenitor cells (TSPCs) have been shown to participate in the inflammatory response. However, the underlying molecular mechanism is still not clear. In this study, flow cytometry analyses of different subpopulations of RCT-derived TSPCs demonstrate that after three days of administration, TNFα alone or in combination with IFNγ significantly decreases the percentage of CD146+CD49d+ and CD146+CD49f+ but not CD146+CD109+ TSPCs populations. In parallel, the same pro-inflammatory cytokines upregulate the expression of CD200 in the CD146+ TSPCs population. Additionally, the TNFα/IFNγ combination modulates the protein expression of STAT1, STAT3, and MMP9, but not fibromodulin. At the gene level, IRF1 , CAAT (CAAT/EBPbeta) , and DOK2 but not NF-κb , TGRF2 (TGFBR2) , and RAS-GAP are modulated. In conclusion, although our study has several important limitations, the results highlight a new potential role of CD200 in regulating inflammation during tendon injuries. In addition, the genes analyzed here might be new potential players in the inflammatory response of TSPCs.
Keyphrases
- rotator cuff
- inflammatory response
- oxidative stress
- stem cells
- flow cytometry
- dendritic cells
- lps induced
- rheumatoid arthritis
- nk cells
- immune response
- cell proliferation
- poor prognosis
- lipopolysaccharide induced
- gene expression
- toll like receptor
- signaling pathway
- anterior cruciate ligament reconstruction
- bone marrow
- dna methylation
- long non coding rna
- transcription factor
- genome wide identification
- climate change
- pi k akt
- genome wide analysis