Dental Pulp Stem Cells Modulate Inflammasome Pathway and Collagen Deposition of Dermal Fibroblasts.
Giada ZaniniGiulia BertaniRosanna Di TincoAlessandra PisciottaLaura BertoniValentina SelleriLuigi GeneraliAlessandra MarconiAnna Vittoria MattioliMarcello PintiGianluca CarnevaleMilena NasiPublished in: Cells (2024)
Fibrosis is a pathological condition consisting of a delayed deposition and remodeling of the extracellular matrix (ECM) by fibroblasts. This deregulation is mostly triggered by a chronic stimulus mediated by pro-inflammatory cytokines, such as TNF-α and IL-1, which activate fibroblasts. Due to their anti-inflammatory and immunosuppressive potential, dental pulp stem cells (DPSCs) could affect fibrotic processes. This study aims to clarify if DPSCs can affect fibroblast activation and modulate collagen deposition. We set up a transwell co-culture system, where DPSCs were seeded above the monolayer of fibroblasts and stimulated with LPS or a combination of TNF-α and IL-1β and quantified a set of genes involved in inflammasome activation or ECM deposition. Cytokines-stimulated co-cultured fibroblasts, compared to unstimulated ones, showed a significant increase in the expression of IL-1β, IL-6, NAIP, AIM2, CASP1, FN1, and TGF-β genes. At the protein level, IL-1β and IL-6 release as well as FN1 were increased in stimulated, co-cultured fibroblasts. Moreover, we found a significant increase of MMP-9 production, suggesting a role of DPSCs in ECM remodeling. Our data seem to suggest a crosstalk between cultured fibroblasts and DPSCs, which seems to modulate genes involved in inflammasome activation, ECM deposition, wound healing, and fibrosis.
Keyphrases
- extracellular matrix
- stem cells
- wound healing
- anti inflammatory
- endothelial cells
- poor prognosis
- gene expression
- risk assessment
- inflammatory response
- machine learning
- binding protein
- epithelial mesenchymal transition
- climate change
- cell therapy
- mesenchymal stem cells
- dna methylation
- signaling pathway
- electronic health record
- systemic sclerosis
- protein protein
- tissue engineering
- deep learning
- cell migration