BackgroundCurrently, many nutritional indicators, including controlling nutritional status score (CONUT), can be used to assess a patient’s nutritional status and have been reported as reliable predictors of multiple malignancies. However, the value of CONUT score in predicting postoperative outcomes in patients with hilar cholangiocarcinoma has not been explored. In this study, its predictive value will be discussed and compared with the known predictors the neutrophil lymphocyte ratio (NLR) and prognostic nutritional index (PNI).MethodsPreoperative CONUT scores, PNI and NLR levels of 94 Hilar cholangiocarcinoma (HCCA) patients who underwent radical-intent resection of hepatobiliary surgery in our hospital from March 2010 to April 2019 were retrospectively collected and analyzed. They were grouped according to their optimal cutoff value and the prognostic effects of patients in each group were compared respectively.ResultsCONUThigh was more frequent in patients with Clavien–Dindo classification of ≥IIIa (P = 0.008) and Bile leakage presence (P = 0.011). Kaplan-Meier curves analyzing the relationship between CONUT, PNI, and NLR values and HCCA patient survival (including total survival (OS) and recurrence-free survival (RFS) showed significant differences between groups (P <0.001). Meanwhile, multi-factor analysis found that Degree of cure, PNI, NLR, and preoperative CONUT score were independent prognostic factors for OS and RFS. The predictive power of CONUT score was higher than that of NLR and PNI based on time-dependent receiver operating Characteristic (ROC) analysis and the net reclassification index (NRI) and integrated discriminatory index (IDI) values (P < 0.05).ConclusionCONUT score may be of some clinical reference value in evaluating postoperative prognosis of HCCA patients.

Inflammation and oxidative stress serve an important role in the development of lipopolysaccharide/D-galactosamine (LPS/GalN)‑induced acute liver injury. Nobiletin, which is found in high quantities in the peel of citrus fruits, is able to modulate immune responses, including inflammatory response and oxidative stress. The present study aimed to evaluate the protective effects of nobiletin on LPS/GalN‑induced acute liver injury. Male C57BL/6 mice were intraperitoneally treated with nobiletin (50, 100 and 200 mg/kg) 2 h prior to LPS/GalN injection. Liver injury was observed in the LPS/GalN group, as demonstrated by increased levels of serum hepatic enzymes and hepatic inflammatory mediators, as well as by histopathological alterations. Treatment with nobiletin reduced serum alanine aminotransferase and aspartate aminotransferase levels, improved hepatic structure, and suppressed hepatic interleukin (IL)‑1β, IL‑6 and tumor necrosis factor‑α production 24 h after LPS/GalN exposure. Western blot analysis revealed that nobiletin treatment inhibited inducible nitric oxide synthase and cyclooxygenase‑2 liver expression. In addition, nobiletin suppressed LPS/GalN‑induced phosphorylation and degradation of inhibitor of nuclear factor (NF)‑κB (IκB)α, as well as NF‑κB p65 translocation into the nucleus. Nobiletin also upregulated the expression of nuclear NF‑E2‑related factor 2 (Nrf2) and cytoplasmic heme oxygenase‑1. In conclusion, these results indicate that nobiletin serves a protective role in LPS/GalN‑induced acute liver injury via activation of the Nrf2 antioxidant pathway and subsequent inhibition of NF‑κB‑mediated cytokine production. These findings support the potential for nobiletin as a therapeutic agent for the treatment of acute liver injury.

The development of analysis on train-induced ground vibration is briefl y summarized. A train-trackground integrated dynamic model is introduced in the paper to predict the ground vibration induced by high-speed trains. Representative dynamic responses of the train-track-ground system predicted by the model are presented. Some major results measured from two fi eld tests on the ground vibration induced by two high-speed trains are reported. Numerical prediction with the proposed train-track-ground model is validated by the high-speed train running experiments. Research results show that the wheel/rail dynamic interaction caused by track irregularities has a signifi cant infl uence on the ground acceleration and little infl uence on the ground displacement. The main frequencies of the ground vibration induced by high-speed trains are usually below 80 Hz. Compared with the ballasted track, the ballastless track structure can produce much larger train-induced ground vibration at frequencies above 40 Hz. The vertical ground vibration is much larger than the lateral and longitudinal components.

In this work, a quantum image processing algorithm is developed using the edge extraction method together with the Kirsch operator. In our approach, novel enhanced quantum representation (NEQR) is employed as the image representation model for processing quantum image, which generates results of edge extraction using the Kirsch operator. The proposed algorithm can perform real-time image processing with high accuracy. We carry out the design, analyses, and simulations of quantum circuits based on our approach, which shows that the image processing speed and acuracy are much better than the classical edge extraction algorithms.