IGF-1 Peptide Mimetic-functionalized Hydrogels Enhance MSC Survival and Immunomodulatory Activity
Human mesenchymal stem cells (MSCs) have demonstrated promise when delivered to damaged tissue or tissue defects for their cytokine secretion and inflammation modulation behaviors that can promote repair. Insulin-like growth factor 1 (IGF-1) has been shown to augment MSCs' viability and survival and promote their secretion of cytokines that signal to endogenous cells, in the treatment of myocardial infarction, wound healing, and age-related diseases. Biomaterial cell carriers can be functionalized with growth factor-mimetic peptides to enhance MSC function while promoting cell retention and minimizing off-target effects seen with direct administration of soluble growth factors. Here, we functionalized alginate hydrogels with three distinct IGF-1 peptide mimetics and the integrin-binding peptide, cyclic RGD. One IGF-1 peptide mimetic (IGM-3) was found to activate Akt signaling and support survival of serum-deprived MSCs. MSCs encapsulated in alginate hydrogels that presented both IGM-3 and cRGD showed a significant reduction in pro-inflammatory cytokine secretion when challenged with interleukin-1ß. Finally, MSCs cultured within the cRGD/IGM-3 hydrogels were able to blunt pro-inflammatory gene expression of human primary cells from degenerated intervertebral discs. These studies indicate the potential to leverage cell adhesive and IGF-1 growth factor peptide mimetics together to control therapeutic secretory behavior of MSCs. Overall design: Nucleus pulposus (NP) cells from 6 human patients (66F, 61M, 62M, 53M, 56F, 44F; all passage 1) were used for this study. Cells of each patient were seeded on TCPS Transwell co-cultured with MSCs encapsulated in either alginate, cRGD-alginate, or cRGD/IGM-3-alginate in medium without serum supplemented with 1ng/mL IL-1ß and allowed to culture for 4 days with 50% media changes conducted at 48-hour intervals before NP cells were harvested and lysed and RNA extracted. RNA sequencing was performed and Bulk RNAseq analysis packages from Bioconductor R studio was used to analyze the data.