Northeastern University (China)

About: Northeastern University (China) is a education organization based out in Shenyang, China. It is known for research contribution in the topics: Microstructure & Control theory. The organization has 36087 authors who have published 36125 publications receiving 426807 citations. The organization is also known as: Dōngběi Dàxué & Northeastern University (东北大学).

Urolithins Attenuate LPS-Induced Neuroinflammation in BV2Microglia via MAPK, Akt, and NF-κB Signaling Pathways

Abstract: Emerging data suggest that urolithins, gut microbiota metabolites of ellagitannins, contribute toward multiple health benefits attributed to ellagitannin-rich foods, including walnuts, red raspberry, strawberry, and pomegranate. However, there is limited data on whether the potential neuroprotective effects of these ellagitannin-rich foods are mediated by urolithins. Herein, we evaluated the potential mechanisms of antineuroinflammatory effects of urolithins (urolithins A, B, and C; 8-methyl-O-urolithin A; and 8,9-dimethyl-O-urolithin C) in BV2 murine microglia in vitro. Nitrite analysis and qRT-PCR suggested that urolithins A and B reduced NO levels and suppressed mRNA levels of pro-inflammatory genes of TNF-α, IL-6, IL-1β, iNOS, and COX-2 in LPS-treated microglia. Western blot revealed that urolithins A and B decreased phosphorylation levels of Erk1/2, p38 MAPK, and Akt, prevented IκB-α phosphorylation and degradation, and inhibited NF-κB p65 subunit phosphorylation and nuclear translocation in LPS-stimulated microglia. Our results indicated that urolithins A and B attenuated LPS-induced inflammation in BV2 microglia, which may be mediated by inhibiting NF-κB, MAPKs (p38 and Erk1/2), and Akt signaling pathway activation. The antineuroinflammatory activities of urolithins support their role in the potential neuroprotective effects reported for ellagitannin-rich foods warranting further in vivo studies on these ellagitannin gut microbial derived metabolites.

Identifying risk factors of IT outsourcing using interdependent information

Abstract: Risk factor identification of IT outsourcing is significant to capture the source of IT outsourcing risk. Risk factors of IT outsourcing are often interdependent, and consequently the interrelationships among factors affect risk factor identification, whereas this fact is neglected in the existing studies. The purpose of this paper is to investigate a method for identifying risk factors of IT outsourcing, in which the interrelationships among risk factors are considered. Firstly, the risk factors of IT outsourcing are figured out through literature review and expert interview. Then, the interrelationships among risk factors and relative analysis are given. Furthermore, based on the 2-tuple fuzzy linguistic representation model and the classical Decision Making Trial and Evaluation Laboratory (DEMATEL) method, an extended DEMATEL method is developed to identify the importance together with the classification of risk factors. Finally, the potential of the proposed method is shown through an illustrative example of a Chinese resource company.