Objective Currently, there is no commercially available quantitative detection kit for the main Felis domestic allergen (Fel d 1) in China. To establish a rapid detection method for Fel d 1, this study aims to prepare monoclonal antibodies against Fel d 1 protein. Methods The codon preference of Escherichia coli was utilized to optimize and synthesize the Fel d 1 gene. The prokaryotic expression plasmid pET-28a-Fel d 1 was constructed and used to express and purify the recombinant Fel d 1 protein. Subsequently, the recombinant protein was immunized into BALB/c mice and monoclonal antibodies (mAbs) were prepared by the hybridoma technique. An indirect ELISA was established using the recombinant Fel d 1 as the coating antigen, and hybridoma cell lines were screened for positive clones. The specificity and antigenic epitopes of the mAbs were confirmed by Western blot analysis. Finally, the selected hybridoma cells were injected into the peritoneal cavities of BALB/c mice for large-scale monoclonal antibody production. Results The recombinant plasmid pET-28a-Fel d 1 was successfully constructed, and soluble Fel d 1 protein was obtained after optimizing the expression conditions. Western blot and antibody titer assays confirmed the successful isolation of two hybridoma cell lines, 7D11 and 5H4, which stably secreted mAbs specific to Fel d 1. Antibody characterization revealed that the 5H4 mAb was of the IgG2a subtype and could recognize the amino acid region 105-163 of Fel d 1, while the 7D11 mAb was the IgG1 subtype and could recognize the amino acid region 1-59. Conclusion The high-purity recombinant Fel d 1 protein produced in this study provides a promising alternative for clinical immunotherapy of cat allergies. Furthermore, the monoclonal antibody prepared in this experiment lays a material foundation for the in-depth study of the biological function of Fel d 1 and the development of ELISA detection.
Animals ; Antibodies, Monoclonal/biosynthesis* ; Mice, Inbred BALB C ; Cats ; Mice ; Allergens/genetics* ; Glycoproteins/genetics* ; Enzyme-Linked Immunosorbent Assay ; Hybridomas/immunology* ; Recombinant Proteins/genetics* ; Female ; Antibody Specificity

Objective:To explore the value of a scoring system based on preoperative abdominal computed tomography (CT) for predicting the difficulty of laparoscopic cholecystectomy (LC).Methods:A retrospective analysis was conducted on 105 patients diagnosed with gallstones or cholecystitis who underwent LC at Beijing Jishuitan Hospital, Capital Medical University from January 2021 and February 2022. Based on surgical video reviews, patients were divided into the easy group ( n=58) and the difficult group ( n=47) according to the intraoperative Parkland Grading Scale (PGS), with PGS grades 1-2 assigned to the easy group, and PGS grades 3-5 assigned to the difficult group. The normally distributed measurement data were expressed as mean±standard deviation ( ± s), and compared using independent samples t-test; the non-normally distributed measurement data were expressed as median (interquartile range) [ M ( Q1, Q3)], and compared using the rank-sum test. The count data were expressed as the number of cases and percentage, and compared using the Chi-square test or Fisher exact probability method. Univariate analysis and cut-off value determination: for continuous CT variables, univariate Logistic regression and stepwise regression analyses (with surgical difficulty grouping as the dependent variable) were performed to identify the optimal combination of predictive variables and establish a scoring system. For each significantly associated continuous variable or important CT image feature from a clinical perspective, receiver operating characteristic (ROC) curve analysis was used to evaluate its predictive performance for difficult surgery. The area under the curve (AUC) was calculated, and the optimal cut-off value was determined using the Youden index to maximize the sum of sensitivity and specificity. The categorical CT image features were scored according to their original groups. The Kappa consistency test was used to assess the strength of agreement between the preoperative abdominal CT score (grouped by the optimal cut-off) and PGS grades (easy/difficult). Decision curve analysis (DCA) was employed to validate the predictive performance of the model. Results:Stepwise Logistic regression identified seven key imaging features as the optimal predictive variables for constructing the preoperative abdominal CT scoring system: maximum gallbladder cross-sectional diameter, maximum gallbladder cross-sectional width, gallbladder wall thickness, common bile duct diameter, pericholecystic fat stranding, periductal fat stranding, and impacted cystic duct stones. Each case was scored after assigning scores based on the optimal cut-off values. The total score of the preoperative abdominal CT scoring system was ≥3 points predicted difficult LC with an AUC of 0.745 (95% CI: 0.650-0.839), sensitivity of 66.0%, and specificity of 75.9%. DCA confirmed the model′s reliable predictive performance, and the preoperative abdominal CT scoring system showed good agreement with PGS grades ( Kappa value was 0.420, P<0.001). Conclusions:The preoperative abdominal CT scoring system based on pericholecystic imaging features can effectively predict the difficulty of LC with good discriminative ability. It provides a quantitative tool for preoperative assessment, surgical scheduling, and ambulatory surgery management.

Gorham-Stout disease(GSD)is a sporadic chronic disease characterized by progressive bone dissolution,absorption,and disappearance along with lymphatic vessel infiltration in bone-marrow cavities.Although the osteolytic mechanism of GSD has been widely studied,the cause of lymphatic hyperplasia in GSD is rarely investigated.In this study,by comparing the RNA expression profile of osteoclasts(OCs)with that of OC precursors(OCPs)by RNA sequencing,we identified a new factor,semaphorin 3A(Sema3A),which is an osteoprotective factor involved in the lymphatic expansion of GSD.Compared to OCPs,OCs enhanced the growth,migration,and tube formation of lymphatic endothelial cells(LECs),in which the expression of Sema3A is low compared to that in OCPs.In the presence of recombinant Sema3A,the growth,migration,and tube formation of LECs were inhibited,further confirming the inhibitory effect of Sema3A on LECs in vitro.Using an LEC-induced GSD mouse model,the effect of Sema3A was examined by injecting lentivirus-expressing Sema3A into the tibiae in vivo.We found that the overexpression of Sema3A in tibiae suppressed the expansion of LECs and alleviated bone loss,whereas the injection of lentivirus expressing Sema3A short hairpin RNA(shRNA)into the tibiae caused GSD-like phenotypes.Histological staining further demonstrated that OCs decreased and osteocalcin increased after Sema3A lentiviral treatment,compared with the control.Based on the above results,we propose that reduced Sema3A in OCs is one of the mechanisms contributing to the pathogeneses of GSD and that expressing Sema3A represents a new approach for the treatment of GSD.

To better promote the development of film-coated formulations and membrane agents, the present study was carried out to investigate the critical material attributes (CMAs) of different sources and models of HPMC in terms of film-coating performance and the correlation between each of the CMAs and the film-coating-related properties, using 2910 HPMC as the research target. Firstly, various analytical techniques were used to characterize the CMAs and film coating-related properties of HPMC. Secondly, the CMAs and film coating-related properties of HPMC were systematically evaluated by principal component analysis (PCA) and orthogonal partial least-squares discrimination analysis (OPLS-DA). The CMAs and film-coating-related properties of HPMC were systematically evaluated to elucidate the intrinsic relationship between the CMAs and film-coating-related properties of HPMC. The results showed that there were significant differences in viscosity, weight-average molecular weight, film tensile strength, elongation, elastic modulus, dissolution time, and flexibility of HPMCs from different manufacturers. The results of PCA and OPLS-DA analyses indicated that these 11 variables showed some correlations with each other. Both mathematical models showed better differentiation and classification of HPMC samples, and the OPLS-DA model had a better classification effect than the PCA model. Therefore, in this study, the physicochemical properties and the film-forming characteristic of HPMC were comprehensively evaluated, and the correlation between them was further established using PCA and OPLS-DA. The impact degree of different CMAs on the film coating performance of HPMC was clarified, which can be used as an important reference for the selection of excipient quality control programs in excipient production and formulation research and development.

Objective To investigate the effects of different culture conditions(RPMI-1640,DMEM and DMEM/F12 medium)on the passage of MPM cells isolated from the tissues of Malignant pleural mesothelioma(MPM),and to study the effects of CDKN2B on the proliferation,invasion and apoptosis of MPM cells.Methods MPM cells were isolated from MPM tissues and cultured in RPMI-1640,DMEM and DMEM/F12 medium,respectively.Cell proliferation was examined by CCK-8,and the nuclei and chromosomes were observed by Wright-Giemsa staining.Fluorescence intensities of Calretinin,CD141,CK5,EMA and WT-1 were conducted by immunofluorescence assay.The mRNA and protein expression of CDKN2B were detected by RT-qPCR and Western blot,respectively.Transwell was used to detect cell invasion and flow cytometry was used to detect cell apoptosis.Results The established MPM cells showed good viability when passaged to the 10th generation in RPMI-1640,DMEM and DMEM/F12 cultures,and the MPM markers Calretinin,CD141,CK5,EMA and WT-1 were all expressed in the cells.The viability of MPM cells in RPMI-1640 culture medium was relatively stable.CDKN2B was downregulated in MPM cells(P<0.05),and overexpression of CDKN2B significantly suppressed the proliferation(P<0.05),invasion(P<0.05)and epithelial interstitial transformation of MPM cells(P<0.01),and promoted the apoptosis(P<0.01).Conclusion The established MPM cells were stably passaged in RPMI-1640 culture medium,and CDKN2B may be a potential target for the diagnosis and treatment of MPM.

Tumor-associated macrophage(TAM)play a crucial role in the immune microenvironment of lung can-cer.Through changes in their phenotype and phagocytic functions,TAM contribute to the initiation and progression of lung cancer.By promoting the formation of an immune-suppressive microenvironment and accelerating the growth of abnormal tumor vasculature,TAM facilitate the invasion and metastasis of lung cancer.Macrophages can polarize into different subtypes with distinct functions and characteristics in response to various stimuli,categorized as anti-tumor M1 and pro-tumor M2 types.In tumor tissues,TAM typically polarize into the alternatively activated M2 phenotype,exhibiting inhibitory effects on tumor immunity.This article reviews the role of anti-angiogenic drugs in modulating TAM phenotypes,highlighting their po-tential to reprogram M2-type TAM into an anti-tumor M1 phenotype.Additionally,the functional alterations of TAM play a significant role in anti-angiogenic therapy and immunotherapy strategies.In summary,the regulation of TAM polarization and function opens up new avenues for lung cancer treatment and may serve as a novel target for modulating the immune microen-vironment of tumors.

Objectives:To investigate the early related factors for hepatic insufficiency after hemihepatectomy and to construct and validate a nomogram model.Methods:This is a retrospective cohort study.There were 207 patients with liver tumor who underwent hemihepatectomy in the Department of Hepatobiliary Surgery, Cancer Hospital, Chinese Academy of Medical Sciences from October 2016 to December 2022. Using the random number method, patients were randomly divided into a model group( n=166) and a validation group( n=41) according to an 4∶1 ratio. There were 118 males and 48 females in the modeling group,with an age ( M(IQR)) of 59.0(13.3) years (range: 22.0 to 81.0 years),42 patients in the group with postoperative liver insufficiency and 124 patients in the group without postoperative liver insufficiency. There were 32 males and 9 females in the validation group, with an age of 54.0(19.0) years (range: 25.0 to 81.0 years). The first results of the peripheral blood test of patients within 24 hours after surgery were collected,and the independent related factors for incomplete postoperative liver function were determined by multivariate Logistic regression analysis,and related factors of postoperative incomplete liver function were screened by best subset selection. A nomogram model of the related factors of postoperative hepatic insufficiency after hemihepatectomy was constructed using R software,validated by internal and external validation of the model. Results:Multivariate logistic regression analysis showed that elevated D-dimer level and decreased antithrombin Ⅲ (AT-Ⅲ) activity within 24 hours after surgery were independent related factors for the development of postoperative hepatic insufficiency in hemihepatectomized patients. The results of the best subset selection showed that ALT, D-dimer, and AT-Ⅲ activity levels within 24 hours postoperatively were the most relevant factors for postoperative hepatic insufficiency. The R software was applied to build a nomogram prediction model based on the above three indicators in the model set, and the receiver operating characteristic(ROC) curve of the model showed an area under the curve of 0.803 and the calibration curve showed a U-index of -0.012 for the model( P=0.977). The results of the clinical decision analysis and the clinical impact curve indicated that the model had good clinical utility. The internal validation results of the Bootstrap method suggested that the model had reasonable consistency. The area under the ROC curve of the validation group model was 0.806, suggesting that the model had a good generalization prediction ability. Conclusions:The levels of ALT, D-dimer, and AT-Ⅲ activity within 24 hours after hemihepatectomy are valuable indicators for predicting liver insufficiency after hemihepatectomy. The nomogram model is reliable and can be used as an indicator for close postoperative monitoring.

Objectives:To investigate the early related factors for hepatic insufficiency after hemihepatectomy and to construct and validate a nomogram model.Methods:This is a retrospective cohort study.There were 207 patients with liver tumor who underwent hemihepatectomy in the Department of Hepatobiliary Surgery, Cancer Hospital, Chinese Academy of Medical Sciences from October 2016 to December 2022. Using the random number method, patients were randomly divided into a model group( n=166) and a validation group( n=41) according to an 4∶1 ratio. There were 118 males and 48 females in the modeling group,with an age ( M(IQR)) of 59.0(13.3) years (range: 22.0 to 81.0 years),42 patients in the group with postoperative liver insufficiency and 124 patients in the group without postoperative liver insufficiency. There were 32 males and 9 females in the validation group, with an age of 54.0(19.0) years (range: 25.0 to 81.0 years). The first results of the peripheral blood test of patients within 24 hours after surgery were collected,and the independent related factors for incomplete postoperative liver function were determined by multivariate Logistic regression analysis,and related factors of postoperative incomplete liver function were screened by best subset selection. A nomogram model of the related factors of postoperative hepatic insufficiency after hemihepatectomy was constructed using R software,validated by internal and external validation of the model. Results:Multivariate logistic regression analysis showed that elevated D-dimer level and decreased antithrombin Ⅲ (AT-Ⅲ) activity within 24 hours after surgery were independent related factors for the development of postoperative hepatic insufficiency in hemihepatectomized patients. The results of the best subset selection showed that ALT, D-dimer, and AT-Ⅲ activity levels within 24 hours postoperatively were the most relevant factors for postoperative hepatic insufficiency. The R software was applied to build a nomogram prediction model based on the above three indicators in the model set, and the receiver operating characteristic(ROC) curve of the model showed an area under the curve of 0.803 and the calibration curve showed a U-index of -0.012 for the model( P=0.977). The results of the clinical decision analysis and the clinical impact curve indicated that the model had good clinical utility. The internal validation results of the Bootstrap method suggested that the model had reasonable consistency. The area under the ROC curve of the validation group model was 0.806, suggesting that the model had a good generalization prediction ability. Conclusions:The levels of ALT, D-dimer, and AT-Ⅲ activity within 24 hours after hemihepatectomy are valuable indicators for predicting liver insufficiency after hemihepatectomy. The nomogram model is reliable and can be used as an indicator for close postoperative monitoring.

With the development of information technology and the increasing demand for vaccination services among the people, it is a definite trend to enhance the quality of vaccination services through digitization. This article starts with a clear concept of digital services for vaccination, introduces the current development status in China and abroad, analyzes the advantages and disadvantages of existing models in leading regions, takes a glean from the summation, and proposes targeted solutions. This study suggests establishing a departmental coordination mechanism for data interconnection and sharing, formulating data standards and functional specifications, enhancing the functionalities of the immunization planning information system, strengthening data collection and analytical usage, and intensifying appointment management and science and health education to provide expert guidance for the construction of digital vaccination services across the country in the future.