Cordycepin inhibits LPS-induced acute lung injury by inhibiting inflammation and oxidative stress.

Acute lung injury (ALI) is a common severe clinical syndrome in intensive care unit. Inflammation has been reported to play a critical role in the development of ALI. Cordycepin, an active component isolated from Cordyceps militaris, has been reported to have anti-inflammatory effects. However, the anti-inflammatory effects of cordycepin on LPS-induced ALI remain unclear. Therefore, in the present study, we assessed whether cordycepin could attenuate ALI induced by LPS. The mice were conditioned with cordycepin 1h before intranasal instillation of LPS. Lung wet/dry (W/D) ratio, MPO activity, MDA content, and inflammatory cytokines production were detected. The expression of NF-κB p65, I-κB, Nrf2, and HO-1 were detected by western blot analysis. We found that LPS significantly increased lung wet/dry (W/D) ratio, MPO activity, MDA content, and inflammatory cytokines production. However, the increases were significantly inhibited by treatment of cordycepin. LPS-induced NF-κB activation was also suppressed by cordycepin. In addition, cordycepin was found to up-regulate the expression of Nrf2 and HO-1 in a dose-dependent manner. In conclusion, our results demonstrated that cordycepin could attenuate LPS-induced ALI effectively, probably due to inhibition of inflammation and oxidative stress.

An effective hybrid cuckoo search algorithm with improved shuffled frog leaping algorithm for 0-1 knapsack problems.

An effective hybrid cuckoo search algorithm (CS) with improved shuffled frog-leaping algorithm (ISFLA) is put forward for solving 0-1 knapsack problem. First of all, with the framework of SFLA, an improved frog-leap operator is designed with the effect of the global optimal information on the frog leaping and information exchange between frog individuals combined with genetic mutation with a small probability. Subsequently, in order to improve the convergence speed and enhance the exploitation ability, a novel CS model is proposed with considering the specific advantages of Lévy flights and frog-leap operator. Furthermore, the greedy transform method is used to repair the infeasible solution and optimize the feasible solution. Finally, numerical simulations are carried out on six different types of 0-1 knapsack instances, and the comparative results have shown the effectiveness of the proposed algorithm and its ability to achieve good quality solutions, which outperforms the binary cuckoo search, the binary differential evolution, and the genetic algorithm.