ObjectiveThis study leverages structural data from antigen-antibody complexes of the influenza A virus neuraminidase (NA) protein to investigate the spatial recognition relationship between the antigenic epitopes and antibody paratopes. MethodsStructural data on NA protein antigen-antibody complexes were comprehensively collected from the SAbDab database, and processed to obtain the amino acid sequences and spatial distribution information on antigenic epitopes and corresponding antibody paratopes. Statistical analysis was conducted on the antibody sequences, frequency of use of genes, amino acid preferences, and the lengths of complementarity determining regions (CDR). Epitope hotspots for antibody binding were analyzed, and the spatial structural similarity of antibody paratopes was calculated and subjected to clustering, which allowed for a comprehensively exploration of the spatial recognition relationship between antigenic epitopes and antibodies. The specificity of antibodies targeting different antigenic epitope clusters was further validated through bio-layer interferometry (BLI) experiments. ResultsThe collected data revealed that the antigen-antibody complex structure data of influenza A virus NA protein in SAbDab database were mainly from H3N2, H7N9 and H1N1 subtypes. The hotspot regions of antigen epitopes were primarily located around the catalytic active site. The antibodies used for structural analysis were primarily derived from human and murine sources. Among murine antibodies, the most frequently used V-J gene combination was IGHV1-12*01/IGHJ2*01, while for human antibodies, the most common combination was IGHV1-69*01/IGHJ6*01. There were significant differences in the lengths and usage preferences of heavy chain CDR amino acids between antibodies that bind within the catalytic active site and those that bind to regions outside the catalytic active site. The results revealed that structurally similar antibodies could recognize the same epitopes, indicating a specific spatial recognition between antibody and antigen epitopes. Structural overlap in the binding regions was observed for antibodies with similar paratope structures, and the competitive binding of these antibodies to the epitope was confirmed through BLI experiments. ConclusionThe antigen epitopes of NA protein mainly ditributed around the catalytic active site and its surrounding loops. Spatial complementarity and electrostatic interactions play crucial roles in the recognition and binding of antibodies to antigenic epitopes in the catalytic region. There existed a spatial recognition relationship between antigens and antibodies that was independent of the uniqueness of antibody sequences, which means that antibodies with different sequences could potentially form similar local spatial structures and recognize the same epitopes.

Langerhans cell histiocytosis of bone is a rare tumor disease characterized by the large accumulation of CD1a⁺ and CD207⁺ dendritic cells in tissues of unknown cause.It mainly occurs in children aged 1-4 years old,with incidences of 4-6 per million in children and 1-2 per million in adults.Due to its low incidence,diverse clinical manifestations,and no obvious specificity of imaging manifestations,the definitive diagnosis and early treatment of this type of tumor are challenging.In this paper,we report 8 cases of Langerhans cell histiocytosis of bone and review the relevant literature published in the past five years to summarize the clinical characteristics,pathological features,diagnosis,treatment,and prognosis of this disease.
Humans ; Bone Diseases/therapy* ; Histiocytosis, Langerhans-Cell/therapy*

Objective To construct a prognosis prediction model of primary liver cancer after surgical treatment based on synthetic minority over-sampling technique(SMOTE)algorithm and machine learning model.Methods A retrospective cohort study was conducted on 4 297 patients with primary liver cancer from the surveillance,epidemiology,and end results(SEER)database.One-Hot Encoding and Multiple Imputation were used to preprocess the collect data,and SMOTE algorithm was employed to solve the imbalance of data categories.The obtained clinical variables were included in the machine learning model.Based on decision tree(DT),random forest(RF),gradient boosting decision tree(GBDT)and eXtreme Gradient Boosting(XGBoost),a prognostic prediction model(SMOTE+DT/RF/GBDT/XGBoost)was build,and then the best prediction model was determined by comparing the performance of various models.Finally,a prognostic analysis system for primary liver cancer was developed based on the optimal model,which was then visualized.Results The combination model SMOTE+RF showed the best predictive performance,with higher area under the curve(0.895),accuracy(0.811)and precision(0.806)than those of other models in receiver operating characteristic curve(ROC)analysis.Conclusion The SMOTE+RF prognostic prediction model can effectively predict the survival outcome of patients with primary liver cancer.

Mitosis is important for cell proliferation in eukaryotes, and chromosome replication and accurate separation are essential for cell division. Supervillin is a membrane and microfilament actin binding protein. Previous studies have found that it regulates the dynamic changes of the cortical distribution of F-actin and myosin II in cytokinesis, thus ensuring the correct distribution of the contraction ring and participating in the final completion of cytoplasm divisions. But it is not clear whether it functions during metaphase. Supervillin has several splicing isomers, among which supervillin isoform 4 (SV4) is the largest splicing isomer. In this study, the expression of SV4 in cells was reduced by the RNA interference method, and the dynamic process of mitosis and the morphology of astral spindles were detected and observed by real-time microscopy and immunofluorescence staining, and the potential molecular mechanism of SV4 in mitosis was analyzed. The results showed abnormal cell divisions after SV4 reduction: delayed transition from metaphase to anaphase (P<0.001), abnormal assembly of microtubules, a twofold-increase of the number of cells with multipolar spindles, and decreased γ-tubulin signaling in the centrosome (P<0.001). Through GST pull-down and mass spectrometry experiments, we found that SV4 and Aurora A bind to each other, and SV4 regulates the localization and activation of Aurora A in the centrosome during mitosis. In summary, supervillin plays an important role in mitosis. The isomer SV4 regulates spindle integrity and γ-tubulin recruitment by interacting with Aurora A and recruiting it for proper localization and activation in the centrosome during the metaphase, thus promoting the correct assembly of bipolar spindles and ensuring the accurate separation of chromosomes and the smooth progress of mitosis.

OBJECTIVES: To investigate the risk factors for neonatal asphyxia in Hubei Enshi Tujia and Miao Autonomous Prefecture and establish a nomogram model for predicting the risk of neonatal asphyxia. METHODS: A retrospective study was conducted with 613 cases of neonatal asphyxia treated in 20 cooperative hospitals in Enshi Tujia and Miao Autonomous Prefecture from January to December 2019 as the asphyxia group, and 988 randomly selected non-asphyxia neonates born and admitted to the neonatology department of these hospitals during the same period as the control group. Univariate and multivariate analyses were used to identify risk factors for neonatal asphyxia. R software (4.2.2) was used to establish a nomogram model. Receiver operator characteristic curve, calibration curve, and decision curve analysis were used to assess the discrimination, calibration, and clinical usefulness of the model for predicting the risk of neonatal asphyxia, respectively. RESULTS: Multivariate logistic regression analysis showed that minority (Tujia), male sex, premature birth, congenital malformations, abnormal fetal position, intrauterine distress, maternal occupation as a farmer, education level below high school, fewer than 9 prenatal check-ups, threatened abortion, abnormal umbilical cord, abnormal amniotic fluid, placenta previa, abruptio placentae, emergency caesarean section, and assisted delivery were independent risk factors for neonatal asphyxia (P<0.05). The area under the curve of the model for predicting the risk of neonatal asphyxia based on these risk factors was 0.748 (95%CI: 0.723-0.772). The calibration curve indicated high accuracy of the model for predicting the risk of neonatal asphyxia. The decision curve analysis showed that the model could provide a higher net benefit for neonates at risk of asphyxia. CONCLUSIONS The risk factors for neonatal asphyxia in Hubei Enshi Tujia and Miao Autonomous Prefecture are multifactorial, and the nomogram model based on these factors has good value in predicting the risk of neonatal asphyxia, which can help clinicians identify neonates at high risk of asphyxia early, and reduce the incidence of neonatal asphyxia.
Infant, Newborn ; Humans ; Male ; Pregnancy ; Female ; Nomograms ; Retrospective Studies ; Cesarean Section ; Risk Factors ; Asphyxia Neonatorum/etiology*

Child ; Humans ; Manometry ; Esophagus/physiology*

Objective: To explore the action mechanism of hsa_circ_0000231 in the occurrence and development of tongue squamous cell carcinoma (TSCC). Methods: Tissue samples of 60 TSCC patients were examined. The patients, including 32 males and 28 females, aged from 36 to 84 years old, underwent surgery in the Affiliated Hospital of Nantong University and Affiliated Tumor Hospital of Nantong University from December 2014 to December 2017. Saliva samples were obtained from healthy volunteers (5 males and 5 females, aged from 40 to 75 years old) and 10 TSCC patients. The TSCC cell lines (CAL-27, Tca-8113 and HN-4) were used. The expression levels of hsa_circ_0000231 in 60 pairs of freshly matched TSCC and para-carcinoma tissue samples, 10 pairs of saliva samples and 3 TSCC cell lines were detected by quantitative real-time polymerase chain reaction (qRT-PCR). hsa_circ_0000231 gene interference and lentiviral transfection were constructed, hsa_circ_0000231 in TSCC cell lines CAL-27 and Tca-8113 was knocked down, and the expressions of hsa_circ_0000231 in hsa_circ_0000231 interference group (sh-circ) and no-load lentivirus group (negative control) were tested with qRT-PCR. Cells with the highest knock-down efficiency were selected for CCK-8 test, colony formation assay, transwell invasion assay and scratch assay. The expressions of EMT-related proteins including E-cadherin, snail protein, N-cadherin and vimentin and proteins related to Wnt/β-catenin signaling pathway including β-catenin, C-myc, Bcl-2, MMP-9 and Cyclin D1 were measured by western blot. After TSCC cells in the interference group were co-cultured with Wnt/β-catenin pathway activator LiCl, the expressions of above proteins were re-measured by western blot. TSCC cells in interference group and control group were subcutaneously injected into nude mice to compare the effect of hsa_circ_0000231 knockdown on the growths of the tumors grafted subcutaneously in the nude mice. Statistical analysis software 25.0 was used for data analysis, and t-test or chi-square test was used for comparison between groups. Results: hsa_circ_0000231 was highly expressed in the tissue and saliva samples of TSCC patients and cell lines CAL-27, Tca-8113 and HN-4, but lowly expressed in paired para-carcinoma tissues, saliva samples of healthy people and normal human oral keratinocytes (all P<0.05). Log-rank univariate analysis showed that hsa_circ_0000231 expression level, tumor differentiation degree and T stage were related to the survival of TSCC patients (all P<0.05). Multivariate Cox risk regression model analysis suggested that hsa_circ_0000231 expression level (χ²=5.77,P=0.016) and T stage (χ²=5.27,P=0.029) were independent factors for the poor prognosis of TSCC patients. Western blot showed the expressions of snail protein, N-cadherin and vimentin were down-regulated, but E-cadherin was up-regulated in interference group compared with control group. In interference group, the expressions of β-catenin, C-myc, Bcl-2, MMP-9 and CyclinD1 were down-regulated, which were reversed after TSCC cells were co-cultured with LiCl. The knockdown of hsa_circ_0000231 reduced the proliferation, invasion and metastasis abilities of CAL-27 and Tca-8113 cells, which were reversed after TSCC cells were co-cultured with LiCl. The growth rate and volume of the tumors grafted subcutaneously in interference group using LiCl were greater than those in negative control group. Conclusion: hsa_circ_0000231 is an independent prognostic factor of TSCC. Highly expressed hsa_circ_0000231 can promote the proliferation, invasion and metastasis of TSCC cells.
Male ; Animals ; Mice ; Female ; Humans ; Adult ; Middle Aged ; Aged ; Aged, 80 and over ; Tongue Neoplasms ; Wnt Signaling Pathway/genetics* ; Carcinoma, Squamous Cell/genetics* ; beta Catenin/metabolism* ; Mice, Nude ; Vimentin ; Matrix Metalloproteinase 9/metabolism* ; RNA, Circular ; Gene Expression Regulation, Neoplastic ; Cell Proliferation/genetics* ; Cadherins/genetics* ; Proto-Oncogene Proteins c-bcl-2/metabolism* ; Tongue