Objective: To study the recombinant epitope antigens of hepatitis C virus (HCV), in order to fulfil the requirements of recombinant immunoblot assay kit. Methods: An expressing vector pBVIL1 for expression of recombinant antigens in a fusion manner with IL-1β was constructed. A series of selected genes from the HCV antigens including the C, NS3, NS4 and NS5 were amplified from HCV gene-containing plasmids using PCR and the expression plasmids for these genes were constructed in pBVIL1, respectively. The activity of the purified recombinant antigens were tested against an identified HCV antibody positive and negative panel with ELISA. Results and Conclusions: All the cloned genes of chosen antigen epitopes were highly expressed in pBVIL1 in E.coli. The activity of the C and NS4 antigens were slightly higher than the RIBA3.0 antigens, while the activity of NS3 was slightly lower than the RIBA3.0 antigen. But the total evaluation for the panel was same as RIBA3.0. That means the cloned antigens were suitable for the use in RIBA test kit.

AIMTo evaluate the clinical significance of the quantitative determinations of endotoxins in the expressed prostatic secretions (EPS) of chronic prostatitis (CP) patients.

METHODSThe EPS of 45 patients with CP and 15 normal volunteers were obtained for microscopic examination, bacterial culture and endotoxin determination. The level of endotoxins was determined by the Limulus-amebocyte-lysate test with chromogenic substrate.

RESULTSPatients with CP had higher mean levels of endotoxins in EPS than normal volunteers [52.06 +/- 32.83 EU/L vs. 4.77 +/- 4.14 EU/L (P <0.05)]. The levels of endotoxins in CP type II, type IIIa and type IIIb were 68.62 +/- 34.78 EU/L, 45.30 +/- 23.33 EU/L and 15.83 +/- 5.31 EU/L, respectively [type II vs. type IIIa (P >0.05), type IIIb vs. normal controls (P <0.05), type II/type IIIa vs. normal controls P >0.05)].

CONCLUSIONCP patients have elevated levels of endotoxins in the EPS, which suggests that inflammation is a feature of this disease. EPS endotoxin determination is not only helpful in diagnostic confirmation, but also in evaluating the response to treatment in CP patients.

Adult ; Bacterial Infections ; complications ; diagnosis ; Case-Control Studies ; Chronic Disease ; Endotoxins ; metabolism ; Humans ; Male ; Prostate ; secretion ; Prostatitis ; diagnosis ; microbiology ; Sensitivity and Specificity

Background/Aims: The accuracy of endosonographers in diagnosing gastric subepithelial lesions (SELs) using endoscopic ultrasonography (EUS) is influenced by experience and subjectivity. Artificial intelligence (AI) has achieved remarkable development in this field. This study aimed to develop an AI-based EUS diagnostic model for the diagnosis of SELs, and evaluated its efficacy with external validation. Methods: We developed the EUS-AI model with ResNeSt50 using EUS images from two hospitals to predict the histopathology of the gastric SELs originating from muscularis propria. The diagnostic performance of the model was also validated using EUS images obtained from four other hospitals. Results: A total of 2,057 images from 367 patients (375 SELs) were chosen to build the models, and 914 images from 106 patients (108 SELs) were chosen for external validation. The sensitivity, specificity, positive predictive value, negative predictive value, and accuracy of the model for differentiating gastrointestinal stromal tumors (GISTs) and non-GISTs in the external validation sets by images were 82.01%, 68.22%, 86.77%, 59.86%, and 78.12%, respectively. The sensitivity, specificity, positive predictive value, negative predictive value, and accuracy in the external validation set by tumors were 83.75%, 71.43%, 89.33%, 60.61%, and 80.56%, respectively. The EUS-AI model showed better performance (especially specificity) than some endosonographers.The model helped improve the sensitivity, specificity, and accuracy of certain endosonographers. Conclusions We developed an EUS-AI model to classify gastric SELs originating from muscularis propria into GISTs and non-GISTs with good accuracy. The model may help improve the diagnostic performance of endosonographers. Further work is required to develop a multi-modal EUS-AI system.

With the development of society, the incidence of myopia and the population of myopia has increased year by year, which has become a major public health problem. Therefore, the research on the pathogenesis and prevention and control measures of myopia is imminent. In recent years, the role of the biological clock in the development of myopia has gradually attracted scholars interest. Now the author starts from the impact of the biological clock on the axial length, retina and choroid in the development of myopia. In order to provide new ideas for the study of prevention and control measures and the pathogenesis of myopia, a brief review is made from the perspective of contemporary society and disrupted body clock.