This study intends to investigate the effects of miR-142-5p encapsulated by serum-derived extracellular vesicles (EVs) on septic acute lung injury (ALI) following remote ischemic preconditioning (RIPC) through a PTEN-involved mechanism. ALI was induced in rats by lipopolysaccharide (LPS) injection, 24 h before which RIPC was performed via the left lower limb. Next, the binding affinity between miR-142-5p and PTEN was identified. EVs were isolated from serum and injected into rats. The morphology of lung tissues, pulmonary edema, and inflammatory cell infiltration into lung tissues were then assessed, and TNF-α and IL-6 levels in serum and lung tissues were measured. The results indicated that RIPC could attenuate ALI in sepsis. miR-142-5p expression was increased in serum, lung tissues, and serum-derived EVs of ALI rats following RIPC. miR-142-5p could target PTEN to activate the PI3K/Akt signaling pathway. miR-142-5p shuttled by serum-derived EVs reduced pulmonary edema, neutrophil infiltration, and TNF-α and IL-6 levels, thus alleviating ALI in LPS-induced septic rats upon RIPC. Collectively, serum-derived EVs-loaded miR-142-5p downregulated PTEN and activated PI3K/Akt to inhibit ALI in sepsis following RIPC, thus highlighting potential therapeutic molecular targets against ALI in sepsis.

In recent years, e-commerce system has become an indispensable part of people’s daily life. In this way, the problems in the operation and management of this system are gradually exposed. This paper applies evolutionary game theory to explore evolution and optimal strategy for the harmonious development of the three parts, consumers, expressmen and e-commerce platforms. An three-part evolutionary game mode is presented among them, which takes into account the financial penalties and the degree of supervision of e-commerce platform. Then, the evolutionary stability strategies are analyzed by the differential equation theory and Liapunov stability analysis. Furthermore, numerical simulation is used to analyze the influence of several factors on evolution results. Research concludes optimal evolutionary strategy for this system: the consumer chooses the non-complaint strategy, the expressman chooses seriousness strategy, and the e-commerce platform chooses strict-management strategy. This paper can provide methods and strategies for the long-term stable evolution of similar system like e-commerce system.