Abstract
The application of immune regenerative strategies to deal with unsolved pathologies, such as tendinopathies, is getting attention in the field of tissue engineering exploiting the innate immunomodulatory potential of stem cells [1]. In this context, Amniotic Epithelial Cells (AECs) represent an innovative immune regenerative strategy due to their teno-inductive and immunomodulatory properties [2], and because of their high paracrine activity, become a potential stem cell source for a cell-free treatment to overcome the limitations of traditional cell-based therapies. Nevertheless, these immunomodulatory mechanisms on AECs are still not fully known to date. In these studies, we explored standardized protocols [3] to better comprehend the different phenotypic behavior between epithelial AECs (eAECs) and mesenchymal AECs (mAECs), and to further produce an enhanced immunomodulatory AECs-derived secretome by exposing cells to different stimuli. Hence, in order to fulfill these aims, eAECs and mAECs at third passage were silenced for CIITA and Nrf2, respectively, to understand the role of these molecules in an inflammatory response. Furthermore, AECs at first passage were seeded under normal or GO-coated coverslips to study the effect of GO on AECs, and further exposed to LPS and/or IL17 priming to increase the anti-inflammatory paracrine activity. The obtained results demonstrated how CIITA and Nrf2 control the immune response of eAECs and mAECs, respectively, under standard or immune-activated conditions (LPS priming). Additionally, GO exposition led to a faster activation of the Epithelial-Mesenchymal transition (EMT) through the TGFβ/SMAD signaling pathway with a change in the anti-inflammatory properties. Finally, the combinatory inflammatory stimuli of LPS+IL17 enhanced the paracrine activity and immunomodulatory properties of AECs. Therefore, AECs-derived secretome has emerged as a potential treatment option for inflammatory disorders such as tendinopathies.
Acknowledgement: This research is part of the P4FIT project ESR1, funded under the H2020-ITN-EJD-Marie-Skłodowska-Curie grant agreement 955685.
