Objective To investigate the correlations of serum Apelin-13 and fatty acid binding protein 4 (FABP4) levels with metabolic and bone metabolic indicators in postmenopausal women with different bone mass. Methods A total of 145 postmenopausal women were selected as subjects and divided into three groups based on bone mineral density (BMD) test results: normal bone mass group(49 cases), osteopenia (ON) group(51 cases), and osteoporosis (OP) group(45 cases). Serum Apelin-13, FABP4 levels, bone metabolic indicators, and biochemical indicators were measured and compared among the three groups. Spearman correlation analysis was used to analyze the correlations of Apelin-13, FABP4, and other indicators with BMD. Multivariate Logistic regression analysis was performed to analyze the risk factors for OP, and the receiver operating characteristic (ROC) curve was plotted to analyze the predictive value of serum Apelin-13 for postmenopausal osteoporosis (PMOP). Results The serum Apelin-13 level in the OP group was lower than that in the ON group and the normal bone mass group (P < 0.05). No significant difference in serum FABP4 levels was found among the three groups (P>0.05). The levels of serum parathyroid hormone (PTH), alkaline phosphatase (ALP), type Ⅰ procollagen amino-terminal propeptide (PⅠNP), type Ⅰ collagen cross-linked C-terminal peptide (CTXⅠ), and bone-specific alkaline phosphatase (BALP) in the OP group were higher than those in the ON group and the normal bone mass group (P < 0.05). Lumbar post-menopause BMD was positively correlated with serum Apelin-13 levels (P < 0.05), but had no correlation with serum FABP4 levels (P>0.05). Lumbar BMD was negatively correlated with serum PTH, ALP, PⅠNP, CTXⅠ, BALP, and age (P < 0.05), but positively correlated with body weight, body mass index, T-score, fasting insulin, and insulin resistance index (P < 0.05). Multivariate Logistic regression analysis showed that serum Apelin-13, PTH, ALP, PⅠNP, CTXⅠ, and BALP levels were independent factors influencing the occurrence of OP in postmenopausal women (P < 0.05). ROC curve results showed that the optimal cut-off value of serum Apelin-13 for predicting PMOP was 18.51 pg/mL, with an area under the curve of 0.716, a sensitivity of 70.0%, and a specificity of 64.4%. Conclusion Apelin-13 is lowly expressed in the serum of PMOP patients, and its expression level is closely related to lumbar BMD, which may serve as an early screening indicator and potential therapeutic target for PMOP.

Objective:To study the expression level of programmed death ligand 1 (PD-L1) in combined hepatocellular-cholangiocarcinoma (cHCC-CCA) and its correlation with the clinical characteristics and prognosis.Methods:The clinical data of 75 patients with cHCC-CCA undergoing surgery in Tianjin Medical University Cancer Institute and Hospital from January 2011 to December 2019, including 61 males and 14 females, with a median age of 55 years (36 to 77). Immunohistochemistry was conducted to determine the PD-L1 expression in tumor. The status of PD-L1 expression, clinicopathological data and prognosis of patients were analyzed.Results:In low-differentiated cHCC-CCA tissues, the proportion of PD-L1 expression (21.1%, 8/38) was higher than that in moderately to well-differentiated cHCC-CCA tissues (2.70%, 1/37, χ2=4.366, P=0.037). The median disease-free survival (DFS) and overall survival (OS)of PD-L1 positive patients were 12.3 and 15.1 months, respectively, lower than those of PD-L1 negative patients (14.4 and 23.3 months). The difference of DFS was statistically significant ( χ2=4.052, P=0.044). In multivariate analysis, major vascular invasion (DFS: HR=1.965, 95% CI: 1.119-3.450, P=0.019; OS: HR=1.781, 95% CI: 1.022-3.105, P=0.042) and lymph node metastasis (DFS: HR=2.451, 95% CI: 1.1033-5.814, P=0.042; OS: HR=2.652, 95% CI: 1.120-6.279, P=0.027) were identified as independent prognostic factors affecting DFS and OS. Conclusions:The proportion of PD-L1 positive is higher inthe low-differentiated cHCC-CCA tissue compared to that in moderately to well-differentiated cHCC-CCA. The major vascular invasion and lymph node metastasis are independent factors affecting the prognosis of patients with cHCC-CCA.

Objective:To investigate the hemodynamic characteristics and dynamic cerebral autoregulation(dCA) of patients with severe carotid stenosis before carotid endarterectomy(CEA), and to analyze their correlations with hyperperfusion after CEA.Methods:A total of 63 patients with unilateral severe carotid artery atherosclerotic stenosis who underwent CEA were consecutively recruited prospectively in Xuanwu Hospital, Capital Medical University from January 2021 to August 2021. According to postoperative hyperperfusion, patients were divided into hyperperfusion group (13 cases) and non-hyperperfusion group (50 cases). The general clinical data and hemodynamic parameters were compared between the two groups. The dCA was evaluated by the transfer function analysis that measured the fluctuation amplitude of mean cerebral blood flow velocity(CBFV) with blood pressure change, the time difference of phase with blood pressure change, and the correlation between mean CBFV and blood pressure change. The value of dCA for predicting postoperative hyperperfusion was analyzed through the ROC curve and the area under the curve(AUC).Results:①The proportion of hypertension in hyperperfusion group was higher than that in non-hyperperfusion group ( P<0.05). ②The peak systolic velocity (PSV) at the stenosis lesion of the internal carotid artery, the end-diastolic velocity (EDV) at the stenosis lesion of the internal carotid artery and the ratio of PSV at the stenosis lesion of the internal carotid artery to the distal internal carotid artery in the hyperperfusion group were higher than the non-hyperperfusion group.And the PSV of the ipsilateral middle cerebral artery in the hyperperfusion group was lower than the non-hyperperfusion group (all P<0.05). ③In the very low-frequency and low-frequency region, the phase in the hyperperfusion group was lower than that in the non-hyperperfusion group (all P<0.05), while there was no significant difference in the high-frequency regions( P>0.05). In the three regions of very low-frequency, low-frequency and high-frequency, there were no significant differences in the gain and coherence between the two groups(all P>0.05). ④The best cutoff value of phase in the very low-frequency was 33.28 for predicting hyperperfusion after CEA (AUC=0.766, 95% CI=0.629-0.904, P=0.03), with the specificity of 0.700, and sensitivity of 0.846. Conclusions:There are differences in hemodynamics and dCA between the hyperperfusion group and the non-hyperperfusion group after CEA. The impaired preoperative dynamic cerebral autoregulation is an independent predictor of postoperative hyperperfusion.

Objective:To construct a risk prediction model for infection with Klebsiella pneumonia (KP) for patients with severe acute pancreatitis (SAP).Methods:Retrospective analysis was done on the clinical data of 109 SAP patients who were admitted to Shanghai General Hospital, between March 2016 and December 2021. Patients were classified into infection group ( n=25) and non-infection group ( n=84) based on the presence or absence of KP infection, and the clinical characteristics of the two groups were compared. The least absolute shrinkage and selection operator (LASSO) algorithm was used to reduce the dimension of the variables with statistical significance in univariate analysis. A nomogram prediction model was created by incorporating the optimized features from the LASSO regression model into the multivariate logistic regression analysis. Receiver operating characteristic curve (ROC) was drawn and the area under curve (AUC) was calculated; and consistency index (C-index) were used to assess the prediction model's diagnostic ability. Results:A total of 25 strains of KP were isolated from 109 patients with SAP, of which 21(84.0%) had multi-drug resistance. 20 risk factors (SOFA score, APACHEⅡ score, Ranson score, MCTSI score, mechanical ventilation time, fasting time, duration of indwelling of the peritoneal drainage tube, duration of deep vein indwelling, number of invasive procedures, without or with surgical intervention, without or with endoscopic retrograde cholangiopancreatography (ERCP), types of high-level antibiotics used, digestion disorders, abnormalities in blood coagulation, metabolic acidosis, pancreatic necrosis, intra-abdominal hemorrhage, intra-abdominal hypertension, length of ICU stay and total length of hospital stay) were found to be associated with KP infection in SAP patients by univariate analysis. The four variables (APACHEⅡ score, duration of indwelling of the peritoneal drainage tube, types of high-level antibiotics used, and total length of hospital stay) were extracted after reduced by LASSO regression. These four variables were found to be risk factors for KP infection in SAP patients by multiple logistic regression analysis (all P value <0.05). Nomogram prediction model for KP infection in SAP was established based on the four variables above. The verification results of the model showed that the C-index of the model was 0.939, and the AUC was 0.939 (95% CI 0.888-0.991), indicating that the nomogram model had relatively accurate prediction ability. Conclusions:This prediction model establishes integrated the basic clinical data of patients, which could facilitate the risk prediction for KP infection in patients with SAP and thus help to formulate better therapeutic plans for patients.

OBJECTIVE: To study the chemical constituents of the EtOAc extract of Armillaria gallica 012m. METHODS: The chemical constituents of the EtOAc extract of A. gallica 012m were isolated and purified by various column chromatography and their structures were elucidated on the basis of the 1D and 2D NMR spectroscopic and HRESIMS data. Cytotoxicity of all isolates against A549, HCT-116, M231 and W256 human tumor cells was determined by the MTT method. RESULTS: A new sesquiterpene aryl ester, armimelleolide C ( 1), and eight known ones including armillarivin ( 2), melleolide F ( 3), 6'-chloromelleolide F ( 4), melleolide ( 5), melleolide K ( 6), melledonol ( 7), 13-hydroxydihydromelleolide ( 8), and armillane ( 9), were isolated from the EtOAc extract of A. gallica 012m. All isolates showed potential cytotoxic activities against at least one of the human cancer cell lines with IC₅₀ values ranging from (3.17 ± 0.54) to (17.57 ± 0.47) μmol/L. Compound 1 showed significant inhibitory activity against M231 with an IC₅₀ value of (7.54 ± 0.24) μmol/L compared with paclitaxel as the positive control. Compounds 2, 3, and 7, 9 showed obvious inhibitory activity against HCT-116 and were better than that of the positive control. CONCLUSION The chemical constituents including a new sesquiterpene aryl ester armimelleolide C ( 1) from the EtOAc extract of A. gallica 012m have a variety of structures and potential antitumor activities.

Antibody-drug conjugates(ADCs)are commonly heterogeneous and require extensive assessment of exposure-efficacy and exposure-safety relationships in preclinical and clinical studies.In this study,we report the generation of a monoclonal antibody against monomethyl auristatin E(MMAE)and the development,validation,and application of sensitive and high-throughput enzyme-linked immunosor-bent assays(ELISA)to measure the concentrations of MMAE-conjugated ADCs and total antibodies(tAb,antibodies in ADC plus unconjugated antibodies)in cynomolgus monkey sera.These assays were suc-cessfully applied to in vitro plasma stability and pharmacokinetic(PK)studies of SMADC001,an MMAE-conjugated ADC against trophoblast cell surface antigen 2(TROP-2).The plasma stability of SMADC001 was better than that of similar ADCs coupled with PEG4-Val-Cit,Lys(m-dPEG24)-Cit,and Val-Cit linkers.The developed ELISA methods for the calibration standards of ADC and tAb revealed a correlation be-tween serum concentrations and the OD450 values,with R2 at 1.000,and the dynamic range was 0.3-35.0 ng/mL and 0.2-22.0 ng/mL,respectively;the intra-and inter-assay accuracy bias％ranged from-12.2％to-5.2％,precision ranged from-12.4％to-1.4％,and the relative standard deviation(RSD)was less than 6.6％and 8.7％,respectively.The total error was less than 20.4％.The development and validation steps of these two assays met the acceptance criteria for all addressed validation parameters,which suggested that these can be applied to quantify MMAE-conjugated ADCs,as well as in PK studies.Furthermore,these assays can be easily adopted for development of other similar immunoassays.

Objective:To establish a prediction model of acute upper gastrointestinal rebleeding (AUGIRB) for elderly patients by combining and applying multiple indicators.Methods:A retrospective observational study was conducted. The clinical data of 161 elderly patients (age ≥ 65 years old) who suffered from acute upper gastrointestinal bleeding (AUGIB) and who were hospitalized in Shanghai General Hospital from July 2018 to December 2020 were recorded. The patients were divided into the rebleeding group (31 cases) and the non-rebleeding group (130 cases) according to whether gastrointestinal rebleeding occurred. Univariate analysis was adopted to screen AUGIRB-related risk factors and Logistic regression analysis was used to screen independent predictors of AUGIRB so that a predictive model was constructed. Based on the area under the curve (AUC) of the receiver operator characteristic curve (ROC curve), the predictive ability of the prediction model for AUGIRB was evaluated, the optimal cut-off value was determined, and the odds ratio ( OR) and its 95% confidence interval (95% CI) were calculated. Bootstrap resampling technology was used to validate the predictive ability of the model. Results:Univariate Logistic analysis showed that oral anticoagulant drugs, oral antiplatelet drugs, albumin (ALB), platelet count (PLT), Glasgow-Blatchford bleeding score (GBS), D-dimer, fibrinogen (FIB), and international normalized ratio (INR) all had a significant effect on the occurrence of AUGIRB among elderly patients. Multivariate Logistic regression analysis showed that the oral antiplatelet drugs ( OR = 11.150, 95% CI was 1.888-65.852, P < 0.05) and GBS score ( OR = 2.503, 95% CI was 1.523-4.114, P < 0.05) were the independent risk factors of AUGIRB among elderly patients, while the ALB ( OR = 0.764, 95% CI was 0.626-0.932, P < 0.05) and FIB ( OR = 0.065, 95% CI was 0.011-0.370, P < 0.05) were the protective factors of AUGIRB among elderly patients. The AUC of the above four indexes joint prediction model was 0.979. The verification results of the model showed that the consistency index (C-index) of the model was 0.986. Conclusion:The prediction model fitted in this research has a high prediction accuracy and it also has a certain reference value for the judgment of elderly patients who suffer from AUGIRB.

Objective:To analyze the clinicopathological features of chordoid glioma.Methods:A total of 12 cases of chordoid gliomas from 2009 to 2020 in Xuanwu Hospital of Capital Medical University and General Hospital of Chinese People′s Liberation Army were retrospectively analyzed. The clinical and imaging characteristics, pathologic and molecular characteristics were analyzed, and the relevant literature was reviewed.Results:All 12 patients (4 males and 8 females) aged from 25 to 67 years (mean 39 years) and mainly had a history of headache or/and vision loss. MRI showed that the lesions located in the third ventricle, and they showed abnormal enhancement. Pathologically, these 12 cases displayed the morphologic characteristics of chordoid gliomas, including papillary structures in two cases. Immunohistochemically, GFAP and vimentin were expressed in all 12 cases (12/12). TTF1 was also expressed in all cases (10/10). CD34 and CKpan were seen in 11 cases (11/12). EMA with dot-and/or-ring like positivity was seen in 9 cases (9/10). Tissues were available in nine chordoid gliomas for Sanger sequencing to detect PRKCA and IDH gene mutation, and eight cases (8/9) showed PRKCA gene D463H mutation. None of these cases showed IDH1 R132 and IDH2 R172 mutation. All 12 patients underwent surgery, and four were lost to follow up. The remaining eight patients were progression or recurrence free at last follow-up in January 2021.Conclusions:Chordoid gliomas have relatively distinguishing clinical and histopathological features. PRKCA gene mutation in chordoid gliomas can be considered as a biomarker for the diagnosis and differential diagnosis of chordoid gliomas, and may provide a direction for future targeted therapy.

Objective:To investigate the traditional Chinese medicine (TCM) syndrome types and related factors of constipation in psychiatric inpatients, and to provide data support for targeted TCM nursing.Methods:A total of 245 psychiatric inpatients with constipation in the Seventh People's Hospital of Hangzhou were selected by convenient sampling. The survey was conducted using general information questionnaire and TCM constipation syndrome classification criteria.Results:245 questionnaires were distributed and 238 valid questionnaires were recovered. Among 238 patients with constipation, the proportion of excessive constipation was the highest, accounting for 61.34% (146/238) , which was the main type of constipation. There were statistically significant differences in age, course of disease, diagnosis, exercise preference and duration of medication between the excessive constipation type and deficiency constipation type ( P< 0.01) . Logistic regression showed that the main factors affecting the type of constipation were the type of disease, the course of the disease, the duration of medication, and the intensity of activity ( P<0.01) . Conclusions:The incidence of excessive syndrome in hospitalized patients with mental disorders is relatively higher in young adults with short course of disease, short medication time, bipolar disorder mania and high activity intensity. Medical staff should understand the status and influencing factors of constipation classification of patients and carry out dialectical nursing for them, so as to provide basis for taking targeted measures.

Objective: To study the clinicopathological features, differential diagnosis and prognosis of primary histiocytic sarcoma of central nervous system(CNS). Methods: Three cases of CNS histiocytic sarcoma were collected at Chinese People′s Liberation Army General Hospital from 2005 to 2018. Their clinicopathological characteristics were analyzed, and the related literature reviewed. Results: The three patients included two females and one male, aged 36, 44, 58 years (median 44 years). MRI showed heterogeneously enhancing lesions which were considered meningioma, high-grade glioma or metastatic carcinoma. Histopathologically there were moderately pleomorphic, mitotically active tumor cells with a loose arrangement, effacing the normal brain tissue. These cells possess abundant eosinophilic cytoplasm, highly atypical nuclei, predominant nucleoli, and hemophagocytosis; multinucleated or spindled forms were also seen, as was background reactive inflammation. The tumor cells were typically positive for CD68, CD163, vimentin and lysozyme, S-100 protein, two of three cases were positive for BRAF V600E,one of three cases was partly positive for CD45, CD45RO, CD4, CD34, and negative for GFAP, Olig-2, CK, EMA, SSTR2, CD99, CD117, MPO, CD1a, Langerin, CD21, CD23, CD35, CD15, CD30, CD38, and CD138. The index of Ki-67 was 30%-75%. Rich reticular fiber network was seen in all cases; BRAF V600E mutation was present in two cases. Conclusions CNS histiocytic sarcoma is a rare malignant tumor; histopathologic and immunohistochemical examination are necessary for the diagnosis and to exclude other primary CNS and hematolymphopoietic tumors. Primary CNS histiocytic sarcoma is treated by surgery, chemotherapy and radiation therapy, but the prognosis is poor. Complete resection combined with high dose focused radiotherapy can improve the prognosis.