Anti-CD80/86 antibodies inhibit inflammatory reaction and improve graft survival in a high-risk murine corneal transplantation rejection model

Abstract

We investigated the effects of anti-CD80/86 antibodies in a murine high-risk corneal transplantation rejection model. A mixed lymphocyte reaction (MLR) assay was conducted with anti-CD80/86 antibodies. Inflammatory cytokine levels in the culture supernatant were measured using an enzyme-linked immunosorbent assay. Interferon (IFN)-γ-producing CD4+ T cell frequencies in the MLR were assessed using flow cytometry. In vivo, high-risk corneal allograft survival and IFN-γ-producing CD4+ T cell frequencies in corneal grafts were assessed with intraperitoneal injection of anti-CD80/86 antibodies compared to phosphate-buffered saline (PBS). RNA-sequencing was performed on corneal grafts 2 weeks post-transplantation. Anti-CD80/86 antibodies significantly decreased T-cell proliferation, IFN-γ+-producing CD4+ T cell frequencies, and IFN-γ, interleukin (IL)-1β, IL-2, IL-10, and tumor necrosis factor-α production in the MLR compared to PBS injection. Intraperitoneal injection of anti-CD80/86 antibodies significantly prolonged corneal graft survival and decreased IFN-γ+-producing CD4+ T cell frequencies compared to PBS injection. Gene set enrichment analysis showed that the gene sets mainly enriched in the control group were related to allograft rejection and inflammatory response compared to PBS injection. Anti-CD80/86 antibodies significantly prolonged corneal graft survival by inhibiting T-cell proliferation and inflammatory response.

Bioinspired Hybrid Nanostructured PEEK Implant with Enhanced Antibacterial and Anti-inflammatory Synergy

“…As depicted in Figure A, there was a notable rise in CD68 levels across all groups, indicating a substantial increase in the number of macrophages in the tissue due to the introduction of bacteria-infected samples. Meanwhile, the activation of monocytes/macrophages was considered an essential indication for the initiation of a chronic inflammatory response. , CD80 is a member of the immunoglobulin superfamily, expressed as an oligomer on the surface of most antigen-presenting cells, and represents a typical marker for M1 macrophages. , As displayed in Figure B, the FF group showed the highest expression with a deep brownish-yellow color, while the expression was slightly weakened in both the flat FF@PDA/Zn and the structured NP groups. In contrast, only a low scattered distribution was observed in the NP@PDA/Zn group, indicating there was no serious inflammatory response around the PDA/Zn and nanopillar comodifying implant.…”

“…70,71 CD80 is a member of the immunoglobulin superfamily, expressed as an oligomer on the surface of most antigenpresenting cells, and represents a typical marker for M1 macrophages. 72,73 As displayed in Figure 9B, the FF group showed the highest expression with a deep brownish-yellow color, while the expression was slightly weakened in both the flat FF@PDA/Zn and the structured NP groups. In contrast, only a low scattered distribution was observed in the NP@ PDA/Zn group, indicating there was no serious inflammatory response around the PDA/Zn and nanopillar comodifying implant.…”

Characterization and Proteomic Analyses of Proinflammatory Cytokines in a Mouse Model of Liver Transplant Rejection

“…Dendritic cells, monocytes, macrophages, and neutrophils have also all been shown to play a vital role in regulating innate immunity [10,11]. The occurrence of immune rejection is closely related to chemokines, proinflammatory cytokines, and signaling pathways [12,13]. As cytokines represent important mediators of the immune system, they may serve as potential therapeutic agents which could selectively inhibit or enhance immune responses [14].…”

Changing Medical Paradigm on Inflammatory Eye Disease: Technology and Its Implications for P4 Medicine

“…Recently, the field of cross-hierarchical integrative data-driven biological research has received attention owing to the development of medical big data and AI technologies [ 2 , 30 , 31 , 32 ]. Such analyses may have implications for elucidating various pathophysiology as they encompass all levels of cellular function from intracellular molecular dynamics to end phenotypes [ 18 , 28 ].…”