Objective Using ROC curve to determine the best cut-off point of serum HE-4 in the diagnosis of ovarian cancer and provide important value to diagnosis early ovarian cancer.Methods The levels of serum HE-4 in 68 ovarian cancer pa-tients,42 ovarian benign tumor patients and 30 healthy female were detected by electrochemistry irradiance method.The ROC curve was drawn and the cut-off point of HE-4 was determined by statistical software.Results The levels of serum HE-4 were all non-normal distribution in the groups of ovarian cancer,ovarian benign tumor and healthy controls.Whats more,there was no significant difference between ovarian benign tumor group and normal control group.And compared with benign ovarian tumors and normal control group,the level of HE-4 in ovarian cancers was significantly increased (P <0.01).It would be best for diagnosis when the level of serum HE-4 was 108pmol/L in ovarian cancer.Youden’s index showed the maximum (0.713)and the sensitivity and specificity of diagnosing were 77.9% and 93.1% respectively.The positive predictive value was 91.4% and negative predictive value was 91.4%.At the same time,the positive likelihood ratio was 11.6 and the negative likelihood ratio was 0.2,odds ratio reached to 47.3.Conclusion The detection of HE-4 is an ideal mark for diagnosing and excluding ovarian cancer.Selecting 108 pmol/L as ovarian cancer diagnosis point is relative appro-priate.

Objective: To create a model to predict nosocomial infections in emergency intensive care units (EICU), so as to provide insights into early identification and interventions among patients with nosocomial infections. Methods: All nosocomial infections were collected from patients hospitalized in the EICU of a large tertiary hospital from 2017 to 2020. The 2017-2019 data were selected as the training set to create a logistic regression model, and the fitting effectiveness of the predictive model was evaluated using Hosmer-Lemeshow test. The 2020 data were selected as the test set to evaluate the external validation of the predictive model. In addition, the value of the model for prediction of nosocomial infections was examined using the receiver operating characteristic (ROC) curve analysis. Results : Totally 1 546 inpatients in EICU were enrolled, and the prevalence of nosocomial infections was 7.18%. Multivariable logistic regression analysis identified hospital stay duration of >7 days (OR=21.845, 95%CI: 7.901-60.398), use of ventilators (OR=3.405, 95%CI: 1.335-8.682), and surgery (OR=1.854, 95%CI: 1.121-3.064) as risk factors of nosocomial infections. The predictive model was p=ey/(1+ey), y=-6.105+(3.084×duration of hospital stay)+(1.225×use of ventilators)+(0.617×surgery). The area under ROC curve was 0.806 (95%CI: 0.774-0.838) for the training set and 0.723 (95%CI: 0.623-0.823) for the test set, and if the 0.065 cut-off of the predictive model created by the training set was included in the test set, the predictive value yield a 0.739 sensitivity and 0.642 specificity for prediction of nosocomial infections among patients hospitalized in EICU. Conclusion The created predictive model for nosocomial infections among patients hospitalized in EICU presents a high accuracy, which shows a satisfactory predictive value for high-risk nosocomial infections.

Objective To investigate the effects on proliferation of multiple myeloma cell lines U266 and RPMI 8226 induced by puerariae radix flavones (PRF) in vitro and its possible mechanism.Methods Exposed to 0,10,30,50,100 μg/ml PRF for 48 h and 72 h,the U266 and RPMI 8226 cells proliferation inhibitory rates were detected by MTT assay,cell cycles by flow cytometry (FCM),morphologic changes of U266 cells by Wright' s staining,and early-stage apoptotic rates of U266 cells by FITC-Annexin V/PI staining with FCM.Analysis of DNA fragment was made to test characteristic apoptosis DNA ladder in U266 cells.Results 0,10,30,50,100 μg/ml PRF could inhibit the proliferation of U266 and RPMI 8226 cells in a dose-dependent manner (U266 ＞ RPMI 8226).Cell cycle analyses in U266 and RPMI 8226 cells showed that sub-diploid peaks,but cell cycles changed minor.Wright's staining of U266 cells showed hardly any apoptostic character istic.Annexin V/PI double staining indicated that early-stage apoptotic rates of U266 cells exposed to 0,10,30,50,100 μg/ml PRF for 48 h were mildly increased in a dose-dependent manner.They were (3.20±0.36) ％,(5.20±0.92) ％,(7.30±1.22) ％,(8.10±0.53) ％ and (10.80±0.90) ％,respectively.The group differences had statistical significance (P ＜ 0.05).Analysis of DNA fragment barely exhibited the characteristic DNA ladder in U266 cells.Conclusion A certain concentrations of PRF could inhibit the proliferation of U266 and RPMI 8226 cells significantly.It is suggested that apoptosis related to the proliferative inhibition mechanism induced by PRF in U266 cell line,but not main.Other pathways such as necrosis and autophagy whether or not involved need further investigation.

Terpene synthase (TPS) plays important roles in the synthesis of terpenoids which are the main fragrances in Rhododendron flowers. To understand the function of TPS genes in terpenoid metabolism in relation to flower aroma formation, we identified all TPS gene family members in Rhododendron by analyzing its genome database. We then used a transcriptomic approach to analyze the differential gene expression patterns of TPS gene family members in the scented flower Rhododendron fortunei compared to the non-scented flower Rhododendron 'Nova Zembla'. The contents of terpenoid compounds in petals of the above two Rhododendron species at different developmental stages were also measured by using qRT-PCR and head space-solid phase micro-extraction combined with gas chromatography-mass spectrometry. Our results showed that a total of 47 RsTPS members, with individual lengths ranged from 591 to 2 634 bp, were identified in the Rhododendron genome. The number of exons in RsTPS gene ranged from 3 to 12, while the length of each protein encoded ranged from 196 to 877 amino acids. Members of the RsTPS family are mainly distributed in the chloroplast and cytoplasm. Phylogenetic analysis showed that RsTPS genes can be clustered into 5 subgroups. Seven gene family members can be functionally annotated as TPS gene family since they were temporally and spatially expressed as shown in the transcriptome data. Notably, TPS1, TPS10, TPS12 and TPS13 in Rhododendron fortunei were expressed highly in flower buds reached the peak in the full blossoming. Correlation analysis between gene expression levels and terpenoid content indicates that the expression levels of TPS1, TPS4, TPS9, TPS10, TPS12 and TPS13 were positively correlated with the content of terpenoids in the petals of R. fortunei at all flower developmental stages, suggesting that these six genes might be involved in the aroma formation in R. fortunei.
Rhododendron/metabolism* ; Phylogeny ; Terpenes/metabolism* ; Family ; Gene Expression Regulation, Plant