3D in vitro M2 macrophage model to mimic modulation of tissue repair

Speaker

Sapudom, Jiranuwat (New York University Abu Dhabi)

Description

Macrophages are known as the most dominating cells at the wound site, and they coordinate the transition between tissue repair phases during the entire wound-healing process. Especially, anti-inflammatory macrophage (M2) subtypes, namely M2a and M2c, are reported to modulate the tissue repair process tightly and chronologically by modulating fibroblast differentiation state and functions. To establish a well-defined three-dimensional (3D) cell culture model to mimic the tissue repair process, we utilized THP-1 human monocytic cells and a 3D collagen matrix as a biomimetic tissue model. THP-1 cells were differentiated into macrophages and activated using IL-4/IL-13 (MIL-4/IL-13) and IL-10 (MIL-10). Both activated macrophages were characterized by both their cell surface marker expression and cytokine secretion profile. Our results demonstrated that surface markers and cytokines secretion profile of MIL-4/IL-13 and MIL-10 is akin to M2a and M2c macrophages derived from human PBMC, respectively. To mimic the initial and resolution phases during the tissue repair, both activated macrophages were co-cultured with fibroblasts and myofibroblasts. We showed that MIL-4/IL-13 can modulate tissue repair by controlled secretion of TGF-β1 to induce fibroblast differentiation, while MIL-10 macrophages secrete high amounts of IL-10 to resolve inflammation and tissue repair processes. Besides, we demonstrate that IL-10 can reverse myofibroblast into fibroblast phenotypes. By neutralizing IL-10 with antibody in co-culture with MIL-10, no dedifferentiation of myofibroblast could be observed, emphasizing the role of IL-10 in resolution of the tissue repair phase. Overall, our results pinpoint the importance of the co-culture model of fibroblast and macrophages for biomimetic wound healing, instead of fibroblast monoculture. In addition, our established biomimetic model can guide the development of well-defined high-throughput platforms for improving tissue healing and anti-fibrotic drugs testing, as well as other biomedical studies.

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