Objective: Idiopathic intracranial hypertension (IIH) is a condition of unknown etiology associated with venous sinus stenosis. This study aimed to develop a magnetic resonance venography (MRV)-based radiomics model for predicting a high trans-stenotic pressure gradient (TPG) in IIH patients diagnosed with venous sinus stenosis. Materials and Methods: This retrospective study included 105 IIH patients (median age [interquartile range], 35 years [27– 42 years]; female:male, 82:23) who underwent MRV and catheter venography complemented by venous manometry. Contrast enhanced-MRV was conducted under 1.5 Tesla system, and the images were reconstructed using a standard algorithm. Shape features were derived from MRV images via the PyRadiomics package and selected by utilizing the least absolute shrinkage and selection operator (LASSO) method. A radiomics score for predicting high TPG (≥ 8 mmHg) in IIH patients was formulated using multivariable logistic regression; its discrimination performance was assessed using the area under the receiver operating characteristic curve (AUROC). A nomogram was constructed by incorporating the radiomics scores and clinical features. Results: Data from 105 patients were randomly divided into two distinct datasets for model training (n = 73; 50 and 23 with and without high TPG, respectively) and testing (n = 32; 22 and 10 with and without high TPG, respectively). Three informative shape features were identified in the training datasets: least axis length, sphericity, and maximum three-dimensional diameter.The radiomics score for predicting high TPG in IIH patients demonstrated an AUROC of 0.906 (95% confidence interval, 0.836– 0.976) in the training dataset and 0.877 (95% confidence interval, 0.755–0.999) in the test dataset. The nomogram showed good calibration. Conclusion Our study presents the feasibility of a novel model for predicting high TPG in IIH patients using radiomics analysis of noninvasive MRV-based shape features. This information may aid clinicians in identifying patients who may benefit from stenting.

Objective To study the chemical constituents from ethyl acetate extracts of the strips of Semiliquidambar cathayensis.Methods The strips of S.cathayensis were extracted by 80%ethanol and the extracts were evaporated.Fourteen compounds in ethyl acetate extracts were isolated and purified by various chromatographic techniques,such as silica gel,Sephadex LH-20 column and pre-HPLC,etc.Their structures were identified on the basis of physicochemical properties and spectroscopic analysis.Antioxidant activity test was used to evaluate total extraction,each extraction part and the isolates.Results Fourteen compounds were isolated from the strips of S.cathayensis and identified by NMR as tetradecanoic acid(1),stearic acid(2),sesamin(3),9-octadecenoic acid(4),linoleic acid(5),dibutylphthalate(6),stigmasterol(7),β-sitosterol(8),lupeol(9),oleanolic acid(10),lup-20(29)-ene-3-[3-keto-hexadecanoate](11),peujaponisin(12),C-veratroylglycol(13),and 2,3-dihydroxy-1-(4-hydroxy-3,5-dimethoxyphenyl)-1-propanone(14).Conclusion Compounds 1,3,4,5,6,7,9,11,12,13 and 14 were isolated from this plant for the first time.The EA part,compounds 13(C-veratroylglycol)and 14(2,3-dihydroxy-1-(4-hydroxy-3,5-dimethoxyphenyl)-1-propanone)showed significant antioxidative effects.

OBJECTIVE: To isolate the phenolic amides from the dried bulbs of Allium chinense and investigate their myocardium protective activities. METHODS: The chemical constituents were isolated and purified by combining with silica gel column, Sephadex LH-20 column, HPLC and other chromatography techniques. Their structures were elucidated by NMR techniques and mass spectrometry. The isolated compounds were evaluated to determine their protective effect for myocardium cells in vitro. RESULTS: Two new phenolic amides, namely, alichinemide I ( 1) and alichinemide II ( 2), and six konwn amides were isolated from the dried bulbs of A. chinense. The structures of compounds 3- 8 were identified as 3-indolcarbaldehyde ( 3), 1-(2-aminophenyl)urea ( 4), 2,3,4,9-tetrahydro-1H-pyrido[3,4-b]indole-3-carboxylic acid ( 5), N-trans-feruloyltyramine ( 6), N-trans-p-coumaroyltyramine ( 7), and N-(3,4-dimethoxyphenethyl) acetamide ( 8). Compound 3 (50 μmol/L) showed significant inhibitory effect on the damage of H9c2 myocardial cells induced by H₂O₂in vitro. CONCLUSION Compounds 1 and 2 were new phenolic amides. Compound 3 could be one of the potential myocardium protective constituents of A. chinense.

Objective To develop a colloidal gold immunochromatographic test strip for rapid and accurate detection of Pseudomonas aeruginosa(P.aeruginosa,Pa).Methods After bioinformatics analysis of Pa outer membrane protein OprF,the gene sequence with abundant antigenic determinants and high intraspecific homology was chemically synthesized,and then connected to pET-28a(+)vector to construct the expression vector pET-28a-OprF,which was transformed into E.coli BL21(DE3)and induced by IPTG. The recombinant OprF protein was purified by Ni Sepharose~(TM)6 Fast Flow and used to immunize two female BALB/c mice for 3～4 times by multi-point subcutaneous injection in the back at the first immunization and intraperitoneal injection at subsequent immunizations. The monoclonal antibodies were screened by animal cell fusion technique,and the colloidal gold immunochromatographic test strip for rapid detection of Pa was prepared by using monoclonal antibody and double antibody sandwich immunochromatography technique. The specificity,sensitivity and stability of the test strip were evaluated.Results Two monoclonal antibodies,Pa-1# and Pa-2#,were obtained with the titer of 1∶409 600,and both of them recognized OprF specifically. The prepared colloidal gold immunochromatographic test strip showed a sensitivity of 1. 0×10~6CFU/mL and had no cross reaction with 9 common respiratory pathogens with a good stability.Conclusion The prepared colloidal gold immunochromatographic test strip can detect Pa rapidly within 15 min,with high specificity and good stability.

Receptor activity-modulating proteins (RAMPs) are accessory molecules that form complexes with specific G protein-coupled receptors (GPCRs) and modulate their functions. It is established that RAMP interacts with the glucagon receptor family of GPCRs but the underlying mechanism is poorly understood. In this study, we used a bioluminescence resonance energy transfer (BRET) approach to comprehensively investigate such interactions. In conjunction with cAMP accumulation, Gα _q activation and β-arrestin1/2 recruitment assays, we not only verified the GPCR-RAMP pairs previously reported, but also identified new patterns of GPCR-RAMP interaction. While RAMP1 was able to modify the three signaling events elicited by both glucagon receptor (GCGR) and glucagon-like peptide-1 receptor (GLP-1R), and RAMP2 mainly affected β-arrestin1/2 recruitment by GCGR, GLP-1R and glucagon-like peptide-2 receptor, RAMP3 showed a widespread negative impact on all the family members except for growth hormone-releasing hormone receptor covering the three pathways. Our results suggest that RAMP modulates both G protein dependent and independent signal transduction among the glucagon receptor family members in a receptor-specific manner. Mapping such interactions provides new insights into the role of RAMP in ligand recognition and receptor activation.

Objective:To determine the characteristics of hospitalized newly diagnosed systemic lupus erythematosus (SLE) patients with high disease activity, and identify the risk factors.Methods:Data from 194 newly diagnosed SLE patients at Shanghai Renji Hospital between May 2013 and December 2018 were collected retrospectively. All patients were followed up for 1 year or until death. Patients' demographic, clinical, and laboratory characteristics on admission and medication history were retrospectively collected as baseline data. Patients were divided into two groups, lupus patients with infection (51 cases) and lupus patients without infection (143 cases). The method of univariate analysis of data depended on the data distribution type. Variables that suggested association in the univariate analysis ( P<0.05) were entered into Cox regression model. Results:Among 194 patients with newly diagnosed SLE, 21 cases (11%) died and 51 cases (26%) were infected during 1-year follow-up. Regarding the infection site, 34 cases (67%) had lung infection, 9 cases (18%) had central nervous system infection and 9 cases (18%) had blood stream infection. Common bacteria were identified in 19 cases (45%), followed by fungal infection in 18 cases (43%) and mycobacterium infection in 7 cases (17%). Among the 51 patients with infection, 38 patients (75%) had infection within the first 3 months after diagnosis, and mortality in this group was significantly higher than that in the uninfected group (39%, 15/38 vs 2%, 3/143 , P<0.01). Comparing baseline parameters between patients with 3-month infection and without, significant differences ( P<0.05) were detected in age (≥40 years), systemic lupus erythematosus disease activity index (SLEDAI) score (>10 points), Systemic Lupus International Collaborating Clinic (SLICC)/American College of Rheumatology(ACR) systemic lupus erythematosus damage index (SDI) (≥1 point), pericardial effusion, nephritis, gastrointestinal vasculitis, diabetes, lymphocyte count <0.8×10 9/L platelet count <100×10 9/L, serum creatinine >104 mmol/L and serum globulin level <20 g/L. Finally, clinically meaningful candidate predictors were included in the Cox regression model and it showed that lymphocyte count <0.8×10 9/L, nephritis and gastrointestinal vasculitis were independently predictive for 3-month infection in new-onset lupus patients. Conclusion:Understanding disease spectrums and risk factors of infection in newly diagnosed SLE patients will help clinicians to manage those patients with infection effectively to achieve favorable prognosis.

Paeoniae Radix Rubra has the effects of clearing heat, cooling blood, dissipating blood stasis and pain relieving (in terms of Chinese medicine). Paeoniae Radix Rubra and its active ingredients have significant pharmacological effects in anti-tumor，protecting liver, nerve and heart. By reviewing the relevant literatures published in recent years, we found that the studies on Paeoniae Radix Rubra are mainly focused in the mechanism of action, drug development and clinical application. In this review, we summarize the research results of the pharmacological effects of Paeoniae Radix Rubra and its active ingredients in order to provide the reference for the future research and clinical application of Paeoniae Radix Rubra.

Objective:To establish a prognostic Nomogram model for predicting the risk of early death in polytrauma patients.Methods:Data extracted from a polytrauma study on Dryad, an open access database, was selected for secondary analysis. Patients from 18 to 65 years old with polytrauma in the original data were included. All patients with missing variables, such as blood lactic acid (Lac), Glasgow coma score (GCS) and injury severity score (ISS) at admission, were excluded. The differences of gender, age, Lac, ISS and GCS scores between the patients who died within 72 hours and those who survived were analyzed. The risk factors for 72-hour death were analyzed by Logistic regression, and the Nomogram prediction model was established using R software. The receiver operating characteristic (ROC) curve was used to evaluate the predictive ability of the model, and the Bootstrap method was used for internal verification by repeating sample for 1 000 times. Decision curve (DCA) was applied to analyze the clinical practical value of the model.Results:A total of 2 315 polytrauma patients were included. Logistic regression analysis showed that Lac, GCS score and age > 55 years old were the risk factors for early death in polytrauma patients [Lac: odds ratio ( OR) = 1.36, 95% confidence interval (95% CI) was 1.29-1.42, P < 0.001; GCS score: OR = 0.76, 95% CI was 0.73-0.79, P < 0.001; age > 55 years old: OR = 1.92, 95% CI was 1.37-2.66, P < 0.001]. The prediction model was established by using the above risk factors and displayed by Nomogram. ROC curve analysis showed that the area under the ROC curve (AUC) of Nomogram model to predict the risk of death within 72 hours was 0.858, and the predictive ability of Nomogram model was significantly higher than that of Lac (AUC = 0.743), GCS score (AUC = 0.774) and ISS score (AUC = 0.699), all P < 0.05. The model calibration chart showed that the predicting probability was consistent with the actual occurrence probability, and the DCA showed that Nomogram model presented excellent clinical value in predicting the 72-hour death risk for polytrauma patients. Conclusions:The prognostic Nomogram model presents significantly predictive value for the risk of death within 72 hours in polytrauma patients. Prognostic Nomogram model could offer individualized, visualized and graphical prediction pattern, and provide physicians with practical diagnostic tool for triage system and management of polytrauma according to precision medicine.

Objective:To evaluate the association between the efficacy and safety of metformin and the influence of variants in SLC47A1 rs2289669 G>A polymorphism in the treatment of systemic lupus erythematosus (SLE).Methods:A multicenter, randomized, double-blind, placebo-controlled trial was conducted. Patients were consented at enrollment for blood donation for genotyping, and their peripheral blood were used to detect the distribution frequency of SLC47A1 mutations. The major or mild/moderate flares defined by modified safety lupus erythematosus national assessment (SELENA)-systemic lupus erythematosus disease activity index (SLEDAI) Flare Index (SFI) and adverse events were recorded at 12 months of follow-up. The correlation between efficacy/safety and genotype was analyzed. Student's t test and χ2 test was used to assess the continuous variables and categorical variables. Results:Between May 24, 2016, and Dec 13, 2017, a total of 31 patients in the metformin group and 35 in the placebo group were detected. There were no statistical significant differences in the clinical manifestations, SELENA-SLEDAI scores, and therapy of the participants at baseline. There was no significant difference in the frequency of AA genotype, GA genotype, and GG genotype of SLC47A1 rs2289669 distribution between the metformin group and the placebo group. In the metformin group, patients who flared had a lower frequency of A alleles than those non-flared [25%(4/16) vs 61%(28/46), χ2=6.116, P=0.019 8]; the flare rate was significantly lower in patients with AA genotype than in GG genotype [0%(0/8) vs 57%(4/7), χ2=6.234, P=0.012 5]. The infection rate was lower in the metformin group than that in the placebo group [38%(12/31) vs 69%(24/35), χ2=5.913, P=0.015 0], but there was no significant difference among different genotypes in the metformin group. Compared to GG geno-type, AA genotype showed a trend of decrease in infection rate[38%(3/8) vs 72%(5/7), χ2=1.727, P=0.188 8]. Conclusion:Metformin has a favorable safety profile and may reduce the frequency of flares in SLE patients with low-grade lupus disease activity. The metformin therapeutic efficacy in SLE is relevant to the SLC47A1 gene polymorphism. Patients of the AA genotype may benefit most from metformin than those of the GG and GA genotypes.

Objective To investigate clinicopathological features of pancreatic carcinoma with or without lymph node metastasis,and to explore the relationship between the lymph node metastasis and the prognosis of pancreatic carcinoma.Methods The clinical and follow up data of 216 patients with pancreatic carcinoma from 2001 to 2015 were retrospectively analyzed.Kaplan-Meier method was used to estimate survival rates and plot survival curves.Results The postoperative survival time was 4-86 months,the median survival time was 19 months,and the postoperative 1,3 and 5 year survival rates were 65.1％,33.8％,20.5％,respectively.Patients with positive lymph node metastasis were with 1,3,5 year survival rates of 36.5％,12.2％,0％,those with no lymph node metastasis were with 1,3,5 year survival rates of 70.3％,38.0％,21.4％ (x2 =15.803,P ＜ 0.001).Conclusions Lymph node metastasis in patients with pancreatic cancer is worse than that without lymph node metastasis.Lymph node metastasis is one of the main prognostic factors in patients after radical resection of the pancreatic cancer.