Recently, microRNAs (miRNAs) have been shown to be involved in multiple biological pathways that can influence tumor progression and metastasis and they can serve as prognostic biomarkers in many cancers. The present study examined the prognostic significance of miR-215 in cervical cancer. The paraffin-embedded paired cervical scrape samples and tumor tissue samples from 302 patients with stage II cervical cancer were detected for the expression of miR-215 by using qRT-PCR. A miR-215-based classifier was established by using the Cox regression model. The prognostic and predictive accuracy of this classifier was determined in both the internal testing group of 138 patients, and the external independent group of 280 patients. Moreover, cervical cancer HeLa cells overexpressing miR-215 (HeLa-miR-215) were constructed and subcutaneously injected into the nude mice to examine the effect of miR-215 on tumor growth and metastasis in vivo. The results showed that the expression level of miR-215 was significantly higher in cervical cancer tissues than in paired normal tissues (P<0.0001). When patients were classified into high- and low-risk cancer progression groups according to miR-215 level, the 5-year disease-free survival in high- and low-risk groups were 43% (95% CI: 32.1-51.6) and 67% (95% CI: 48.6-77.3) (hazard ratio [HR] 2.02, 95% CI: 1.16-3.52; P=0.013) respectively. Moreover, the expression level of miR-215 was negatively associated with survival rate in patients at TNM stage T3 (HR: 3.317; 95% CI: 1.18-5.14, P=0.017) and TNM stage T4 (HR: 3.48; 95% CI: 1.49-4.45, P=0.008). Tumor volume in nude mice injected with HeLa-miR-215 cells was significantly larger than that in mice injected with control HeLa cells. It was concluded that the expression level of miR-215 is associated with cervical tumor progression and worse survival rate, suggesting that it may serve as a potential prognostic marker to identify patients at higher risk of recurrence.

Mycoepoxydiene is a novel antitumor agent extracted from marine lignicolous fungi HLY-2, which is Diaporthe phaseolorum by molecule identification. The medium optimization for mycoepoxydiene by orthogonal design and the comparison of submerged fermentation and solid state fermentation were studied. The rusult is that the maximal yield of the compound is 543mg/L, which is 43 times compared to the customary half-seawater PD medium and 15 times to the best submerged condition. This optimum culture medium included potato 250g/L, seawater 300mL/L, glucose 30g/L, lactose 50g/L, KH_ 2 PO_ 4 0.65mmol/L and (NH_ 4 )_ 2 SO_ 4 1g/L in the solid state condition. Differentiation analysis between submerged and solid state fermentation, and antitumor activity of these ferment products were also studied. The antitumor activity of products of the optimum medium approached the pure compound.

Objective: To understand the relationship between coxsackievirus B and pediatric diseases. Methods: The infectious state of coxsackievirus B in hospitalized children were studied. Among 796 children studied, there were 218 upper respiratory tract infection cases, 179 pneumonia, 106 asthma, 155 myocarditis, 19 allergic purpura and 89 other diseases. The antigen (CVB-Ag) and IgM (CVB-IgM) were detected using ELISA method. Results: (1)There were 47% positive of CVB in upper respiratory tract infection and 48% positive of CVB in pneumonia(no difference between them, P>0.05). (2) There were 62% positive of CVB in asthma, 61% positive of CVB in myocarditis and 68% positive of CVB in allergic purpura(no difference among them, P>0.05)； But the positive rate of CVB in asthma, myocarditis and purpura were higher than in upper respiratory tract infection and pneumonia, (P<0.05). (3) There were lower positive rate of CVB in other kinds of diseases (16%) and in healthy children (3%)(no difference between them, P>0.05). Conclusion: CVB infection was related to several kinds of diseases, the relationship between CVB infection and diseases such as asthma, myocarditis, and allergic purpura should be further studied.

China ; epidemiology ; Humans ; Incidence ; Pneumoconiosis ; epidemiology

Recently, microRNAs (miRNAs) have been shown to be involved in multiple biological pathways that can influence tumor progression and metastasis and they can serve as prognostic biomarkers in many cancers. The present study examined the prognostic significance of miR-215 in cervical cancer. The paraffin-embedded paired cervical scrape samples and tumor tissue samples from 302 patients with stage II cervical cancer were detected for the expression of miR-215 by using qRT-PCR. A miR-215-based classifier was established by using the Cox regression model. The prognostic and predictive accuracy of this classifier was determined in both the internal testing group of 138 patients, and the external independent group of 280 patients. Moreover, cervical cancer HeLa cells overexpressing miR-215 (HeLa-miR-215) were constructed and subcutaneously injected into the nude mice to examine the effect of miR-215 on tumor growth and metastasis in vivo. The results showed that the expression level of miR-215 was significantly higher in cervical cancer tissues than in paired normal tissues (P<0.0001). When patients were classified into high- and low-risk cancer progression groups according to miR-215 level, the 5-year disease-free survival in high- and low-risk groups were 43% (95% CI: 32.1-51.6) and 67% (95% CI: 48.6-77.3) (hazard ratio [HR] 2.02, 95% CI: 1.16-3.52; P=0.013) respectively. Moreover, the expression level of miR-215 was negatively associated with survival rate in patients at TNM stage T3 (HR: 3.317; 95% CI: 1.18-5.14, P=0.017) and TNM stage T4 (HR: 3.48; 95% CI: 1.49-4.45, P=0.008). Tumor volume in nude mice injected with HeLa-miR-215 cells was significantly larger than that in mice injected with control HeLa cells. It was concluded that the expression level of miR-215 is associated with cervical tumor progression and worse survival rate, suggesting that it may serve as a potential prognostic marker to identify patients at higher risk of recurrence.
Aged ; Animals ; Biomarkers, Tumor ; genetics ; Disease-Free Survival ; Female ; Gene Expression Regulation, Neoplastic ; HeLa Cells ; Humans ; Male ; Mice ; MicroRNAs ; biosynthesis ; genetics ; Middle Aged ; Neoplasm Staging ; Prognosis ; Uterine Cervical Neoplasms ; genetics ; pathology

Adult ; Fatty Liver ; diagnostic imaging ; physiopathology ; Female ; Humans ; Liver ; diagnostic imaging ; Liver Circulation ; Male ; Middle Aged ; Ultrasonography, Doppler, Color

Objective To observe the anti-inflammation effects of Chanqin granules on airway neurogenic inflammation induced by fine particulate matter (PM2.5)and mediated by nerve growth factor (NGF)and to explore the therapeutic mechanism. Methods Forty SD rats were randomly divided into 5 groups,namely saline control group, PM2.5 exposure group, anti-NGF group, Chanqin granules group and Huifeining group (Pseudoephedrine Hydrochloride,Chlorpheniramine Maleate and Dextromethorphan Hydrobromide Solution),8 rats in each group. PM2.5 exposure rat model was established by intratracheal drop infusion of PM2.5 suspension. The rats in PM2.5 exposure group were given gastric gavage of normal saline after PM2.5 exposure , and the anti-NGF group was given gastric gavage of saline after PM2.5 exposure and intraperitoneal injection of anti-NGF agent. Chanqin granules group was given gastric gavage of Chanqin granules (9.36 g·kg-1·d-1)after PM2.5 exposure,Huifeining group was given gastric gavage of Huifeining (8 mL·kg-1·d-1)after PM2.5 exposure,and saline control group was given gastric gavage of normal saline after intratracheal drop infusion of normal saline , the treatment covering 2 weeks. After medication,the contents of substance P (SP),calcitonin gene related peptide(CGRP), neurokinin A(NKA), neurokinin B(NKB), and nerve growth factor(NGF) in rat serum were detected by enzyme-linked immunosorbent assay (ELISA), the expression levels of SP and NGF in lung tissue and dorsal root ganglia were measured by immunohistochemistry , and the protein and mRNA expression levels of NGF in lung tissue and dorsal root ganglia were determined by Western blotting method and reverse transcription quantitative real-time polymerase chain reaction(RT-qPCR),respectively. Results Compared with the saline control group, the levels of SP, NKA, NKB, NGF and CGRP in rat serum, immunohistochemical mean optical density of NGF in lung tissue and SP and NGF in dorsal root ganglia, the protein and mRNA expression levels of NGF in lung tissue and the protein expression level of NGF in dorsal root ganglia of PM2.5 exposure group were all increased(P < 0.05). Compared with PM2.5 exposure group,the above indexes in anti-NGF group, Chanqin granules group, and Huifeining group were decreased (P < 0.05), and there being no differences between the 3 groups (P > 0.05). Conclusion Chanqin granules have certain effects on relieving the neurogenic inflammation in rat airway induced by PM2.5 through inhibiting the expression of NGF.

Complex coronary heart disease (CHD) has become a hot spot in medicine due to its complex coronary anatomy, variable clinical factors, difficult hemodynamic reconstruction, and limited effect of conservative drug treatment. Identifying complex CHD and selecting optimal treatment methods have become more scientific as revascularization technology has improved, and coronary risk stratification scores have been introduced. SYNTAX and its derivative scores are decision-making tools that quantitatively describe the characteristics of coronary lesions in patients based on their complexity and severity. The SYNTAX and its derivative scores could assist clinicians in rationalizing the selection of hemodynamic reconstruction treatment strategies, and have demon-strated outstanding value in evaluating the prognosis of patients with complex CHD undergoing revascularization treatment. The authors in this article summary the practical application of SYNTAX and its derivative scores in complex CHD in order to deepen the understanding of the relationship between the choice of different revascularization strategies and SYNTAX and its derived scores in complex CHD and provide a further reference for clinical treatment of complex CHD.
Humans ; Coronary Artery Disease/surgery* ; Coronary Artery Bypass ; Prognosis ; Risk Factors ; Percutaneous Coronary Intervention/methods* ; Coronary Angiography ; Treatment Outcome

Objective To establish a dynamic prediction model of fatal massive hemorrhage in trauma based on the vital signs time series data and machine learning algorithms.Methods Retrospectively analyze the vital signs time series data of 7522 patients with trauma in the Medical Information Mart for Intensive Care-Ⅳ(MIMIC-Ⅳ)database from 2008 to 2019.According to the occurrence of posttraumatic fatal massive hemorrhage,the patients were divided into two groups:fatal massive hemorrhage group(n=283)and non-fatal massive hemorrhage group(n=7239).Six machine learning algorithms,including logistic regression(LR),support vector machine(SVM),random forests(RF),adaptive boosting(AdaBoost),gated recurrent unit(GRU),and GRU-D were used to develop a dynamic prediction models of fatal massive hemorrhage in trauma.The probability of fatal massive hemorrhage in the following 1,2,and 3 h was dynamically predicted.The performance of the models was evaluated by accuracy,sensitivity,specificity,positive predictive value,negative predictive value,Youden index,and area under receiver operating characteristic curve(AUC).The models were externally validated based on the trauma database of the Chinese PLA General Hospital.Results In the MIMIC-Ⅳ database,the set of dynamic prediction models based on the GRU-D algorithm was the best.The AUC for predicting fatal major bleeding in the next 1,2,and 3 h were 0.946±0.029,0.940±0.032,and 0.943±0.034,respectively,and there was no significant difference(P=0.905).In the trauma dataset,GRU-D model achieved the best external validation effect.The AUC for predicting fatal major bleeding in the next 1,2,and 3 h were 0.779±0.013,0.780±0.008,and 0.778±0.009,respectively,and there was no significant difference(P=0.181).This set of models was deployed in a public web calculator and hospital emergency department information system,which is convenient for the public and medical staff to use and validate the model.Conclusion A set of dynamic prediction models has been successfully developed and validated,which is greatly significant for the early diagnosis and dynamic prediction of fatal massive hemorrhage in trauma.

Objective This study aimed to investigate the potential relationship between urinary metals copper (Cu), arsenic (As), strontium (Sr), barium (Ba), iron (Fe), lead (Pb) and manganese (Mn) and grip strength. Methods We used linear regression models, quantile g-computation and Bayesian kernel machine regression (BKMR) to assess the relationship between metals and grip strength.Results In the multimetal linear regression, Cu (β=-2.119), As (β=-1.318), Sr (β=-2.480), Ba (β=0.781), Fe (β= 1.130) and Mn (β=-0.404) were significantly correlated with grip strength (P < 0.05). The results of the quantile g-computation showed that the risk of occurrence of grip strength reduction was -1.007 (95％ confidence interval:-1.362, -0.652; P < 0.001) when each quartile of the mixture of the seven metals was increased. Bayesian kernel function regression model analysis showed that mixtures of the seven metals had a negative overall effect on grip strength, with Cu, As and Sr being negatively associated with grip strength levels. In the total population, potential interactions were observed between As and Mn and between Cu and Mn (Pinteractions of 0.003 and 0.018, respectively).Conclusion In summary, this study suggests that combined exposure to metal mixtures is negatively associated with grip strength. Cu, Sr and As were negatively correlated with grip strength levels, and there were potential interactions between As and Mn and between Cu and Mn.