ABSTRACT Over-accumulation of triglycerides (TGs) in goose hepatocytes leads to the formation of fatty acid liver. Phosphoenolpyruvate carboxylase kinase 1 (PEPCK) is regarded as the rate-limiting enzyme for gluconeogenesis, and there is evidence that PEPCK is involved in regulating hepatic glucolipid metabolism. Hence, we proposed that PEPCK may have a role in goose hepatic steatosis. To test our hypothesis, the present study was conducted to firstly determine the sequence characteristics of goose PEPCK and then to explore its role in overfeeding-induced fatty liver. Our results showed that goose PEPCK encodes a 622-amino-acids protein that contains highly conserved oxaloacetate-binding domain, kinase-1 and kinase-2 motifs. PEPCK had higher mRNA levels in goose liver, and overfeeding markedly increased its expression in livers of both Sichuan White and Landes geese (p<0.05). Besides, expression of PEPCK was positively correlated with hepatic TG levels as well as plasma glucose and insulin concentrations. Additionally, in cultured goose primary hepatocyte, treatment with either oleic acid (0.8, 1.2 or 1.6 mM) or linoleic acid (0.125 or 0.25 mM) significantly (p<0.05) enhanced the expression of PEPCK. Taken together, these data suggested a role for PEPCK in the occurrence of overfeeding-induced goose hepatic steatosis.

Wireless Sensor Networks (WSN) is widely used as an effective medium to integrate physical world and information world of Internet of Things (IOT). While keeping energy consumption at a minimal level, WSN requires reliable communication. Multicasting is a general operation performed by the Base Station, where data is to be transmitted to a set of destination nodes. Generally, the packets are routed in a multi-hop approach, where some intermediate nodes are also used for packet forwarding. This problem can be reduced to the well-known Steiner tree problem, which has proven to be NP-complete for deterministic link descriptors and cost functions. In this paper, we propose a novel multicast protocol, named heuristic algorithms for the solution of the Quality of Service (QoS) constrained multicast routing problem, with incomplete information in Wireless Sensor Networks (WSN). As information aggregation or randomly fluctuating traffic loads, link measures are considered to be random variables. Simulation results show that the Hop Neural Networks (HNN) based heuristics with a properly chosen additive measures can yield to a good solution for this traditionally NP complex problem, when compared to the best multicast algorithms known.