Xiangjie Gao

Tumor immunotherapy has emerged as one of the most promising therapeutic methods to treat cancer. Despite its clinical application, the immunosuppressive tumor microenvironment compromises the therapeutic efficiency of this technique. To overcome this limitation, many research efforts have been devoted to the development of agents that reprogram the immunosuppressive tumor microenvironment through novel mechanisms. Over the last decade, compounds that intervene through the immunogenic stimulator of interferon genes (STING) pathway have emerged with potential for clinical development. Herein, the encapsulation of chemotherapeutic platinum complexes with a polymer with a cyclic seven-membered ring (PC7A)-based polymer into pH-responsive nanoparticles for multimodal therapeutically enhanced chemotherapy and immunotherapy is presented. This study represents the first nanomaterial with a dual activation mechanism of the STING pathway through DNA fragmentation as well as PC7A binding. The combination of these nanoparticles with immune checkpoint inhibitors demonstrates to nearly fully eradicate a colorectal tumor inside the mouse model by chemotherapy and immunotherapy using the STING pathway.

In response to the actual demand of Weizhou island, this paper proposes a new multi-energy complementary water and electricity co-generation system consisting of wind farm, photovoltaic power plant, parabolic trough type concentrating heat collection power plant, heat storage tank and electric heater combined with ocean thermal energy and its scheduling strategy. The optimal capacity configuration of each component of the system is obtained by the Multiple Objective Particle Swarm Optimization algorithm (MOPSO) with the objective of minimizing the levelized cost of electricity (LCOE) and the loss of power supply probability (LPSP); and comparing the system in this paper with the system without energy storage and the battery system; Finally, the typical daily output characteristics of the system under the optimal capacity configuration are analyzed. The results of the case study show that the optimal capacity con-figuration of the system is 7409.20 kW for wind power, 4769.49 kW for PV, 152,284.63 m² for solar thermal, and 19.10 h for thermal storage units. Under the same wind power, photovoltaic and solar thermal capacity, the performance of the system in this paper is better than the system without storage and battery system, and the system with thermal storage device still has better economy and reliability.