Objective To measure the diameter of optic nerve sheath by ultrasonography to evaluate the change of intracranial pressure(ICP)in prone position ventilation,and to provide basis for prone position ventilation in patients with increased intracranial pressure (ICH). Methods A total of 58 patients with mechanical ventilation were treated with prospective clinical study from 2016.05.01 to 2017.05.01. The patients were treated with different PEEP and different positions(supine position and prone position),and detected optic nerve sheath diameter(ONSD)behind 3 mm of eye 3 mm by bedside ultrasound. The cause inducing increase of ICP was studied through the changes of ONSD and the data was analyzed by the paired t test. Results Prone position had a significant effect on patients with increased intracranial pressure. PEEP had a significant effect on MAP,Ppeak, Pplat,but had no effect on increased intracranial pressure. Conclusions Prone position ventilation significantly affect the ONSD. Therefore ,it weighs the pros and cons when patients with intracranial hypertension were received prone position ventilation.

Under natural environments, plants and algae have evolved various photosynthetic acclimation mechanisms in response to the constantly changing light conditions. The state transition and long-term response processes in photosynthetic acclimation involve remodeling and composition alteration of thylakoid membrane. A chloroplast protein kinase named Stt7/STN7 has been found to have pivotal roles in both state transition and long-term response. Here we report the crystal structures of the kinase domain of a putative Stt7/STN7 homolog from Micromonas sp. RCC299 (MsStt7d) in the apo form and in complex with various nucleotide substrates. MsStt7d adopts a canonical protein kinase fold and contains all the essential residues at the active site. A novel hairpin motif, found to be a conserved feature of the Stt7/STN7 family and indispensable for the kinase stability, interacts with the activation loop and fixes it in an active conformation. We have also demonstrated that MsStt7d is a dualspecifi city kinase that phosphorylates both Thr and Tyr residues. Moreover, preliminary in vitro data suggest that it might be capable of phosphorylating a consensus N-terminal pentapeptide of light-harvesting proteins Micromonas Lhcp4 and Arabidopsis Lhcb1 directly. The potential peptide/protein substrate binding site is predicted based on the location of a pseudo-substrate contributed by the adjacent molecule within the crystallographic dimer. The structural and biochemical data presented here provide a framework for an improved understanding on the role of Stt7/STN7 in photosynthetic acclimation.
Amino Acid Sequence ; Amino Acid Substitution ; Arabidopsis ; metabolism ; Arabidopsis Proteins ; chemistry ; genetics ; metabolism ; Binding Sites ; Catalytic Domain ; Chlorophyta ; enzymology ; Crystallography, X-Ray ; Cyclin-Dependent Kinase 2 ; chemistry ; metabolism ; Molecular Sequence Data ; Phosphorylation ; Protein Structure, Secondary ; Protein-Serine-Threonine Kinases ; chemistry ; genetics ; metabolism ; Sequence Alignment ; Substrate Specificity

ObjectiveTo investigate related factors for stone recurrence after endoscopic minimally invasive gallbladder-preserving cholecystolithotomy, and to establish a nomogram model for predicting the risk of stone recurrence after surgery based on independent risk factors. MethodsA retrospective analysis was performed for the clinical data of 144 patients with gallstones who underwent endoscopic minimally invasive gallbladder-preserving cholecystolithotomy in Qinghai University Affiliated Hospital from January 2012 to January 2018, and according to postoperative stone recurrence, the patients were divided into non-recurrence group and recurrence group. The chi-square test was used for comparison of categorical data between two groups. LASSO and logistic regression analyses were used to analyze independent risk factors for postoperative stone recurrence, and the corresponding nomogram prediction model was plotted according to regression coefficient. The calibration curve was plotted to evaluate the reliability of the predictive nomogram; Harrell consistency index was used to quantify the discriminatory performance of the predictive nomogram; the receiver operating characteristic (ROC) curve was used to evaluate the sensitivity, specificity, and area under the ROC curve (AUC) of this predictive nomogram. ResultsAll 144 patients underwent successful endoscopic minimally invasive gallbladder-preserving cholecystolithotomy, among whom 14 patients (9.7%) experienced stone recurrence after surgery. The multivariate analysis showed that family history (odds ratio ［OR］= 3.245, 95% confidence interval ［CI］: 0.752-13567, P=0.104), regular diet (OR=3.752, 95% CI: 1.067-14.141, P=0.041), stone homogeneity (OR=5.871, 95% CI: 1636-25.390, P=0.010), and medication compliance (OR=0.225, 95% CI: 0.057-0.799, P=0.024) were independent risk factors for recurrence. The nomogram model had an index of concordance (C-index) of 0.835 (95% CI: 0.732-0.938) in the modeling sample and 0.7925 in the verification sample, suggesting that the nomogram model in this study had good accuracy and discrimination. The predictive nomogram had an AUC of 0.835, suggesting that this nomogram had a relatively high predictive value. ConclusionFamily history, regular diet, stone homogeneity, and medication compliance are independent risk factors for stone recurrence after endoscopic minimally invasive gallbladder-preserving cholecystolithotomy, and the nomogram constructed based on these independent risk factors may help to predict the risk of postoperative stone recurrence.

ObjectiveTo investigate the correlation between systemic immune-inflammation index (SII) and prognosis in patients with hepatic alveolar echinococcosis. MethodsA retrospective analysis was performed for the clinical data of 242 patients who were admitted to Department of Hepatopancreatobiliary Surgery, Qinghai University Affiliated Hospital, from January 2015 to December 2018 and underwent surgery for hepatic alveolar echinococcosis, and SII was calculated. The chi-square test was used for comparison of categorical data between two groups, and a Spearman correlation analysis was performed. The receiver operating characteristic (ROC) curve was used to determine the optimal cut-off value of SII; the Kaplan-Meier method was used to plot survival curves and analyze overall survival time in the two groups, and the log-rank test was used for comparison of survival rates between the two groups; univariate and multivariate Cox regression analyses were used to identify the influencing factors for the prognosis of patients with hepatic alveolar echinococcosis. ResultsThe Spearman correlation analysis showed that SII was positively correlated with the postoperative fatality rate of patients with hepatic alveolar echinococcosis (r=0.267, P＜0.001). The ROC curve showed that the optimal cut-off value of SII before surgery was 758.92, and based on this, 242 patients with hepatic alveolar echinococcosis were divided into low SII (SII ≤758.92) group with 126 patients and high SII (SII ＞758.92) group with 116 patients. The low SII group had 1-, 3-, and 5-year survival rates of 98.20%, 88.47%, and 6610%, respectively, and the high SII group had 1-, 3-, and 5-year survival rates of 90.80%, 53.05%, and 27.40%, respectively. The low SII group had a cumulative survival rate of ＞50% and a mean survival time of 55.584 months (95% confidence interval［CI］: 53550-57.617), while the high SII group had a cumulative survival rate of ＜50%, a mean survival time of 39.384 months (95% CI: 35.070-43.698), and a median survival time of 43 months (95% CI: 34.694-51.306). The low SII group had a significantly better survival rate than the high SII group, and there was a significant difference in overall survival rate between the two groups (χ2=46.979, P＜005). The univariate analysis showed that SII ＞758.92 (hazard ratio ［HR］=5.907, 95% CI: 3.386-10.306, P=0.001) was an influencing factor for the overall survival time of patients with hepatic alveolar echinococcosis, and the multivariate Cox regression analysis showed that preoperative peripheral blood SII (HR=3.507, 95% CI: 1.911-6.435, P=0.001) was an independent risk factor for the overall survival rate of patients with hepatic alveolar echinococcosis. ConclusionPreoperative SII level is clearly correlated with the prognosis of patients with hepatic alveolar echinococcosis and can thus be used as a clinical indicator to evaluate the prognosis of patients. The higher the peripheral blood SII before surgery, the worse the prognosis of patients.

Objective To screen out significant differential genes for predicting the effect of neoadjuvant chemotherapy (NAC) and select the most suitable breast cancer patients for NAC. Methods A total of 60 breast cancer patients' samples before and after NAC were collected for high-throughput RNA-Seq. We selected AHNAK, CIDEA, ADIPOQ and AKAP12 as the candidate genes that related to tumor chemotherapeutic resistance. We analyzed the correlation of AHNAK, CIDEA, ADIPOQ, AKAP12 expression levels with the effect of NAC by logistic regression analysis, constructed a prediction model and demonstrated the model by the nomogram. Results AHNAK, CIDEA, ADIPOQ and AKAP12 expression were up-regulated in the residual tumor tissues of non-pCR group after NAC(P < 0.05). Compared with pCR group, non-pCR group presented higher expression levels of AHNAK, CIDEA, ADIPOQ and AKAP12 (P < 0.05). The high expression levels of AHNAK, CIDEA, ADIPOQ and AKAP12 significantly reduced the pCR rate of NAC for breast cancer (P < 0.05). Our prediction model which AHNAK, CIDEA, ADIPOQ and AKAP12 were involved in showed a good fitting effect with H1 test (χ²=6.3967, P=0.4945) and the ROC curve (AUC 0.8249, 95%CI: 0.722-0.9271). Conclusion AHNAK, CIDEA, ADIPOQ and AKAP12 may be novel marker genes for NAC effect on breast cancer. The efficacy prediction model based on this result is expected to be a new method to select the optimal patients of breast cancer for neoadjuvant chemotherapy.