AIM: To analyze the recovery of stereopsis and its influencing factors in children with intermittent exotropia(IXT)after binocular vision training.METHODS: A total of 166 cases of IXT children who were treated in our hospital from October 2021 to October 2023(2 cases lost their follow-up, and 164 cases were finally included)were included as the research object, taking 36 cases with no stereopsis after binocular vision training in eye position correction surgery as no stereopsis group, and other 128 cases as stereopsis group. All the children underwent eye position correction surgery under general anesthesia, and all received binocular vision training for 6 mo after surgery. The recovery of stereoscopic vision of IXT children after binocular vision training was counted, and the influencing factors of stereoscopic vision recovery of IXT children after binocular vision training were analyzed by single factor and multi-factor Logistic regression analysis.RESULTS: The incidence of postoperative no stereopsis was 22.0%. The proportion of children with an age ≥9 years old, course of disease ≥1 a and anisometropia in the group without stereoscopic vision after operation was larger than the group with stereoscopic vision(all P<0.05). Multivariate Logistic regression analysis showed that the course of disease ≥1 a, age ≥9 years old and anisometropia were independent influencing factors for the recovery of stereoscopic vision in IXT children after binocular vision training(OR=1.470, 1.626, 1.539, all P<0.05).CONCLUSION: Age ≥9 years old, course of disease ≥1 a, and anisometropia are the independent influencing factors of stereopsis recovery of IXT children after binocular vision training. Therefore, targeted intervention measures can be given to high-risk children to improve the stereopsis recovery of IXT children after binocular vision training.

Objective: To elucidate the anti-inflammatory mechanism of Reduning Injection (RDN) by analyzing the potential biomarkers and metabolic pathways of the carrageenan-induced inflammatory model from the overall metabolic level. Methods: Rat inflammatory model was established by carrageenan. UPLC-Q-TOF/MS was used to detect and analyze changes of endogenous metabolites in the serum and urine of carrageenan-induced inflammatory rats. Combined with multivariate analysis and databases analysis, inflammatory-related potential biomarkers were screened and identified to analyze possible metabolic pathways. The reliability and biological significance of these biomarkers was verified by metabolic network analysis and correlation analysis with pharmacodynamic indicators. Results: A total of 16 potential biomarkers were screened and identified by multivariate analysis and metabolite databases, among which 13 species could be adjusted by RDN. The metabolism pathway analysis revealed that histidine metabolism, sphingolipid metabolism, and tyrosine metabolism were greatly disturbed. Their biomarkers involved urocanic acid, sphingosine, and norepinephrine, all of which showed a callback trend after RDN treatment. The three biomarkers had a certain correlation with some known inflammatory-related small molecules (histamine, arachidonic acid, Leukotriene B4, and PGE

OBJECTIVE：To establish fingerprint of Huafengdan yaomu ，and to determine the contents of 7 nucleosides in samples of different fermentation time. METHODS ：HPLC method was adopted. The determination was performed on Pntulips BP-C18 column with mobile phase consisted of methanol-water （gradient elution ）at the flow rate of 0.8 mL/min. The detection wavelength was set at 260 nm，and column temperature was 35 ℃. The sample size was 10 μL. Using xanthine as reference， HPLC fingerprint of 12 batches of Huafengdan yaomu was drawn. The similarity of samples were evaluated with Similarity Evaluation System of TCM Chromatographic Fingerprints （2012 edition）. Common peaks were confirmed. The contents of uracil ， hypoxanthine，xanthine，uridine，inosine，guanosine and thymidine were determined in samples of different fermentation time （0， 1，2，3，4 weeks）by the same method. RESULTS ：There were 8 common peaks in 12 batches of Huafengdan yaomu ，with similarities ranging from 0.712 to 0.954；7 components were identified ，namely uracil ，hypoxanthine，xanthine，uridine，inosine， guanosine and thymidine. The linear ranges of mass concentrations of above 7 components in samples at different fermentation time were 0.87-8.7 μ g/mL （r＝0.999 6）， 4030 1.51-15.1 μg/mL（r＝0.999 7），6.08-60.8 μg/mL（r＝0.999 5）， 号） 1.52-15.2 μg/mL（r＝0.999 6），1.82-18.2 μg/mL（r＝0.999 6）， 1.48-14.8 μg/mL（r＝0.999 6），1.63-16.3 μg/mL（r＝0.999 3）. The limits of quantification were 0.027 4，0.076 3，0.250 4，0.172 3，0.101 1，0.078 3，and 0.084 2 μ g/mL，and the detection limits were 0.008 7，0.025 5，0.007 9，0.084 1，0.035 7，0.026 9，0.027 5 μg/mL，respectively. RSDs of precision ， repeatability and stability tests （12 h）were all less than 3％. The sample recovery rates were 94.16％-100.16％（RSD＝2.24％，n＝ 6），93.87％-100.65％（RSD＝2.67％，n＝6），93.52％-99.66％（RSD＝2.30％，n＝6），93.67％-98.24％（RSD＝1.89％，n＝6）， 96.00％-102.18％（RSD＝1.96％，n＝6），94.62％-101.54％（RSD＝2.82％，n＝6），97.72％-104.56％（RSD＝2.97％，n＝6）. After fermentation for 0-4 weeks，the contents of the above 7 components and total nucleosides were 0.042-0.232，0.027-0.181， 0.039-0.651，0.026-0.225，0.034-0.111，0.009-0.124，0.079-0.099，0.647-1.292 mg/g，respectively. After fermentation for 1-4 weeks，the contents of uracil ，hypoxanthine，xanthine and total nucleosides were significantly increased ，compared with 0 week of fermentation；the contents of uridine ，inosine and guanosine were significantly lower than those in 0 weeks. CONCLUSIONS ：The established fingerprint has strong characteristics and simple to operate ，which can be used for the quality control of Huafengdan yaomu；the content determination method is accurate and reliable ，and can be used to simultaneously determine the contents of 7 active nucleosides ；the content of nucleosides in Huafengdan muyao is affected by fermentation time.

UL48 plays essential role in replication of MDV genome and interacts with UL36 as well as other MDV tegument proteins.To investigate the interaction between UL48 and UL36 during MDV oncogenisis,antibody against UL48 was prepared and characterized in current study.UL48 gene was amplified from MDV-Ⅰ genome and then subcloned into pTYB1 and pGEX-4T3 vectors for UL48 expression with induction of IPTG in BL21(DE3) E..coli cells.Chitin-sepharose and Glutathion-sepharose were,respectively,used to purify fusion protein intein-UL48 and GST-UL48.Four subcutaneous injections of intein-UL48 fusion protein were done on the lower back and the thigh of rabbit and then other three injections with an interval 10 days.The titer of antibody was measured by the sandwich ELISA with UL48 protein isolated from GST-UL48 after cleavage of thrombin.Western blot was carried out for specificity analysis of antibody against UL48 protein.The results suggested that UL48 antibody was succesfully prepared,and its titer was 1 ∶ 512 000.

OBJECTIVETo compare two methods for threshold selection in Huber regularization for low-dose computed tomography imaging.

METHODSHuber regularization-based iterative reconstruction (IR) approach was adopted for low-dose CT image reconstruction and the threshold of Huber regularization was selected based on global versus local edge-detecting operators.

RESULTSThe experimental results on the simulation data demonstrated that both of the two threshold selection methods in Huber regularization could yield remarkable gains in terms of noise suppression and artifact removal.

CONCLUSIONBoth of the two methods for threshold selection in Huber regularization can yield high-quality images in low-dose CT image iterative reconstruction.

Objective To compare two methods for threshold selection in Huber regularization for low-dose computed tomography imaging. Methods Huber regularization-based iterative reconstruction (IR) approach was adopted for low-dose CT image reconstruction and the threshold of Huber regularization was selected based on global versus local edge-detecting operators. Results The experimental results on the simulation data demonstrated that both of the two threshold selection methods in Huber regularization could yield remarkable gains in terms of noise suppression and artifact removal. Conclusion Both of the two methods for threshold selection in Huber regularization can yield high-quality images in low-dose CT image iterative reconstruction.

Objective To compare two methods for threshold selection in Huber regularization for low-dose computed tomography imaging. Methods Huber regularization-based iterative reconstruction (IR) approach was adopted for low-dose CT image reconstruction and the threshold of Huber regularization was selected based on global versus local edge-detecting operators. Results The experimental results on the simulation data demonstrated that both of the two threshold selection methods in Huber regularization could yield remarkable gains in terms of noise suppression and artifact removal. Conclusion Both of the two methods for threshold selection in Huber regularization can yield high-quality images in low-dose CT image iterative reconstruction.

We predict in this paper B-cell epitopes of Epstein-Barr virus nuclear antigen-1 (EBNA-1) and analyze the results matched with the related autoantigens sequence of human. We selected EBV-1 standard strain NA-1 amino acid sequence as the basis. We predicted B-cell dominant epitopes of EBNA-1 with the methods of SOPMA, GOR and HNN, combined with the multi-parameter analysis of transmembrane domain, hydrophilicity profile, surface probability, antigenicity index, polarity and average flexibility. The blastp method was adopted to analyze the matched results between the predicted B-cell epitopes of EBNA-1 and the related autoantigens sequence of human. The results have shown that the possible B-cell dominant epitopes of EBNA-1 were located in the N terminal regions of 16-23, 35-78, 332-337, 340-357, 398-404, 419-432 and 620-637, in which different regions gained higher scores when matched with small nuclear ribonucleoprotein SmB, SmD, ribonucleoprotein SSA, heterogeneous nuclear ribonucleoprotein hnRNP A1, hnRNP G, respectively. It was available to predict B-cell dominant epitopes of EBNA-1 with multiparameter methods and to analyze the same or similar autoantigens sequences of human, which laid a theory foundation for the study of pathogenesis, diagnosis and treatment of autoimmune diseases.
Amino Acid Sequence ; Autoantigens ; immunology ; Base Sequence ; Epitopes, B-Lymphocyte ; immunology ; Epstein-Barr Virus Nuclear Antigens ; immunology ; Humans ; Molecular Sequence Data ; Sequence Homology, Amino Acid

ObjectiveTo explore the impact factors of medical graduates being employed at grass roots. Analysis may contribute to the adjustment and improvement of control policy. Methods1,000 students in Guangzhou Medical University were randomly sampled, and 946 valid questionnaires were being collected. Factor Analysis was adopted to extract component. Extraction method was Principal Component Analysis and rotated component.Components were used as independent variables in the Logistic Regression. The variable Y ( Willing to be employed at Grass Roots or not ) as the dependent variable. Adopted Logistic Regression analysis was made to explore impact factors of medical Graduates employed at Grass Roots. ResultsAccording to the Eigenvalues and Rotation Sums of Squared Loadings, 5 Components were extracted. The sorted descending is 'for grass-roots development', 'basic working conditions and benefits','the parent's attitude towards my career development' and 'family economic conditions'. ConclusionImpact factors can be reflected more objectively by using factor analysis elimination co-linearity in the original variables.

Objective To express in prokaryotic system and to analyze the antigenic specificity of EB virus(EBV) latent membrane protein 2(LMP2) multi-epitopes gene rich of T cell and B cell epitopes.Methods Using on-line prediction service, T cell epitopes and B cell epitopes of EB virus latent membrane protein 2 were predicted. The genes rich of CTL and th cell epitopes were selected as the candidate gene sequences, while B cell epitopes around them were taken into account. The finial selected multi-epitope gene was synthesized after being optimized according to prokaryotic codon bias and inserted into prokaryotic expression vector pET32a( + ) to get the recombinant plasmid: pET32a( + )/EBV-LMP2 multi-epitopes. After transformed into E. coli BL21 (DE3) and induced by IPTG, the target multi-epitopes gene can be expressed as Trx-His fusion protein. The expression products can be identified by SDS-PAGE and Western blot. Moreover, rabbit serum antibody to EBV membrane protein and nasopharyngeal carcinoma(NPC) patient serum were used respectively to detect the antigenic specificity of the multi-epitopes. Meanwhile, 6-8 weeks female BALB/c mice were immunized with EBV-LMP2 multi-epitope at 2 week intervals, three times in all, Trx-His protein and PBS were set as the control groups. At the second week after the last immunization, the mice were sacrificed. LDH and indirect ELISA were taken to detect the specific spleen CTL activityand specific IgG in serum, which reflected the immunogenicity of the EBV-LMP2 multi-epitope. Results Two amino acid sequences which locate at the LMP2 (aa195 -232 ) and LMP2 (aa419-436 ) were selected and connected in series to be the target gene. The recombinant plasmid containing EBV-LMP2 multi-epitope gene successfully constructed and the target protein was expressed in E. coli BL21 ( DE3 ). The relative molecular mass(Mr) of The expression products is about 27 × 103 , which matches up to the expected Mr. The antigenic specificity of the multi-epitopes protein was identified by Western blot and the multi-epitopes protein also can be detected by rabbit serum antibody to EBV membrane protein and NPC patient serum respectively. In the result of the animal experiment, EBV-LMP2 multi-epitope was able to induce the specific CTL activity in BALB/c mice. With the increasing of the effector: target ( E: T) 1: 5,1: 10, 1: 25, the CTL activity was also increased wih( 12.52% + 2.59% ), (21.80% + 1.08% ), (23.68% + 3.74% ) respectively; EBV-LMP2 multi-epitope was able to induce LMP2-specific antibody response(A490 =0.258 +0.040) as compared with Trx-His protein(A490 =0.095 +0.011) and PBS(A490 =0.068 +0.014,P＜0.05＝. Conclusion The EBV-LMP2 multi-epitopes gene was designed successfully and expressed precisely in prokaryotic expression system with good antigenicity and immunogenicity.