Matrix-entrapped cellular secretome rescues diabetes-induced EPC dysfunction and accelerates wound healing in diabetic mice.
Rucha DeshpandeMeghana KanitkarSheetal KadamKadambari DixitHemlata ChhabraJayesh BellareSavita DatarVaijayanti P KalePublished in: PloS one (2018)
Cellular secretory products have infinite potential, which is only recently explored for research and therapeutic applications. The present study elaborated on the formation of a unique matrix-entrapped cellular secretome (MCS), a hydrogel-like secretome produced by bone marrow-derived mononuclear cells when cultured on a three-dimensional electrospun nanofiber matrix under specific conditions. These culture conditions support the growth of a mixed population predominantly comprising of endothelial precursor cells (EPCs), along with mesenchymal stromal cells and pericytes. Interestingly, such secretome is not formed in a pure culture of EPCs on the similarly formulated matrix, suggesting that a heterotypic cell-cell interaction is essential for the formation of MCS. In addition, the specific composition of the matrix was found to be a critical necessity for the formation of MCS. Furthermore, the application of the MCS as a substrate promotes the growth of EPCs in culture. It also rescues the diabetes-induced EPC dysfunction as assessed based on the parameters, such as viability, proliferation, colony formation, cellular adhesion, chemotactic migration, and tubule formation. MCS augments the levels of eNOS-specific mRNA (Nos3) and also promotes the restoration of the SDF1/CXCR4 axis in diabetic EPCs. Notably, a topical application of MCS on diabetic wounds leads to an accelerated wound closure. Thus, the current data showed that MCS forms an excellent cell-free biomaterial in the treatment of diabetic wounds and non-healing ulcers.
Keyphrases
- wound healing
- type diabetes
- induced apoptosis
- cell free
- high glucose
- cardiovascular disease
- endothelial cells
- oxidative stress
- single cell
- diabetic rats
- cell cycle arrest
- signaling pathway
- cell therapy
- nitric oxide synthase
- stem cells
- pi k akt
- staphylococcus aureus
- amino acid
- risk assessment
- big data
- endoplasmic reticulum stress
- pseudomonas aeruginosa
- artificial intelligence
- nitric oxide
- metabolic syndrome
- african american
- deep learning
- skeletal muscle
- electronic health record