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.

With the widespread application of artificial intelligence （AI） technology in medical data analysis， the issue of protecting patients’ privacy rights has become increasingly prominent. This paper sorted out the development trends and current situation of medical data analysis and revealed the main dilemmas in privacy protection， including the risks in the process of data collection and storage， the imperfections of laws and regulations， and the impact of ethical issues. It further explored effective ways to enhance patients’ privacy education and awareness， including comprehensively strengthening the promotion of data anonymization technology in the process of data collection and storage， improving laws， regulations， and industry standards to ensure patient privacy security， establishing a multi-party cooperative privacy protection mechanism to achieve collaborative governance and shared responsibility， as well as enhancing patient privacy awareness to strengthen their cognition and trust in privacy protection， which can effectively promote collaborative governance and shared responsibility for privacy protection.

OBJECTIVES: To explore the status and risk factors of neuropsychological development in small for gestational age (SGA) infants at corrected 12-24 months of age. METHODS: Clinical data were retrospectively collected for 754 SGA infants at corrected ages 12-24 months in Shenzhen Bao'an Women and Children's Hospital between April 2018 and December 2023. Developmental quotient (DQ) levels were analyzed. According to the presence of global developmental delay (GDD), participants were divided into a GDD group (71 cases) and a control group (683 cases), and the incidence and influencing factors of GDD were investigated. RESULTS: In the high-risk preterm SGA group, the total DQ and DQ in all domains were lower than in the full-term SGA group (P<0.017). The overall incidence of GDD was 9.4% (71/754) and increased with decreasing gestational age (P<0.017). Compared with the control group, the GDD group had higher proportions of males; low-risk and high-risk preterm birth; mothers with less than a bachelor's degree; multiple birth; neonatal hypoglycemia; neonatal pneumonia; neonatal respiratory distress syndrome; bronchopulmonary dysplasia; and, at corrected 12-24 months, low body weight, growth retardation, and microcephaly. The length of neonatal hospital stay was longer in the GDD group than in the control group (P<0.05). The weight-for-age Z score, length-for-age Z score, and head circumference-for-age Z score at birth and at corrected 12-24 months were lower in the GDD group than in the control group (P<0.05). Multivariable logistic regression showed that male sex and maternal education below a bachelor's degree were independent risk factors for GDD in SGA infants (P<0.05). CONCLUSIONS Neuropsychological development in preterm SGA infants is comparatively delayed; male SGA infants born to mothers with less than a bachelor's degree should receive priority attention.
Humans ; Female ; Male ; Infant, Small for Gestational Age/psychology* ; Risk Factors ; Infant ; Retrospective Studies ; Child Development ; Developmental Disabilities/epidemiology* ; Infant, Newborn ; Child, Preschool

OBJECTIVE: To characterize the occurrence of SRSF2 mutations in chronic myelomonocytic leukemia(CMML) patients and their correlation with other gene mutations and some clinical characteristics. METHODS: The clinical data of 43 CMML patients diagnosed in Changzhou No.2 People's Hospital and Wuxi No.2 People's Hospital were retrospectively analyzed, and gene mutations detection was performed using next-generation sequencing (NGS). RESULTS: Among the 43 CMML patients the SRSF2 mutation detection rate was 39.5%(17/43). These mutations clustered collectively at the proline 95 residue in the splicing factor SRSF2. The other genes with mutation rate greater than 15% were ASXL1 (48.8%), TET2 (41.9%), NRAS (30.2%), RUNX1 (25.6%), and SETBP1 (16.3%). Among SRSF2- mutated patients, the most common co-mutation was ASXL1, followed by TET2. The median age of SRSF2 mutant patients was significantly higher than that of the wild type (68 vs 51.5, P < 0.001), but there was not statistically significant differences in gender, peripheral leukocytes, hemoglobin, platelets, karyotype, and blast cell compared to the wild-type (all P >0.05). Notably, 4 out of the 6 SRSF2 ^mutASXL1^mut CMML patients developed leukemia transformation, and 1 out of 10 SRSF2 ^wtASXL1^wt CMML patients developed leukemia transformation, with statistically significant difference in leukemia transformation rates (66.7% vs 10%, P =0.036). CONCLUSION SRSF2 mutations have a high incidence in CMML, occurring frequently in older patients, and often coexisting with ASXL1 and TET2 mutations. Patients with CMML carrying both SRSF2^mut ASXL1^mut double mutations have a higher risk of acute leukemia transformation.
Humans ; Serine-Arginine Splicing Factors/genetics* ; Mutation ; Leukemia, Myelomonocytic, Chronic/genetics* ; Retrospective Studies ; Male ; Female ; Repressor Proteins/genetics* ; DNA-Binding Proteins/genetics* ; Dioxygenases ; Middle Aged ; Aged ; Proto-Oncogene Proteins/genetics*

OBJECTIVES: To investigate the synergistic mechanism of the traditional Chinese medicine Rosa laevigata Michx. (RLM) for treatment of pulmonary arterial hypertension (PAH). METHODS: Network pharmacological analysis was carried out to screen the active ingredients of RLM and PAH disease targets and construct the "component-target-disease" interaction network, followed by gene enrichment analysis and molecular docking studies. In the cell experiments, primary cultures of rat pulmonary arterial smooth muscle cells were exposed to hypoxia for 24 h and treated with solvent or 100, 200 and 300 mg/mL RLM, and the changes in cell proliferation were detected using Western blotting for PCNA and immunofluorescence staining. In the animal experiment, male SD rats were randomized into 5 control group, monocrotaline (MCT) solvent group, and MCT with RLM (100, 200 and 300 mg/mL) treatment groups. HE staining and immunofluorescence staining were used to observe histopathological changes in the pulmonary blood vessels of the rats. RESULTS: Seven core active ingredients (including β-sitosterol and kaempferol) in RLM and 39 key disease targets were identified, and molecular docking showed that SRC was a high-affinity target. KEGG enrichment analysis showed that the differential genes were significantly enriched in calcium signaling and PI3K-AKT pathways. In rat pulmonary arterial smooth muscle cells, hypoxic exposure significantly up-regulated cellular expression of PCNA and phosphorylation levels of Src and AKT1, which were obviously lowered by RLM treatment. In RLM-treated rat models, the mean pulmonary artery pressure and right ventricular hypertrophy index (Fulton index) were significantly reduced, the tricuspid annular plane systolic excursion (TAPSE) was improved, and pulmonary vascular wall thickening and fibrosis were obviously ameliorated. CONCLUSIONS RLM inhibits pulmonary arterial smooth muscle cell proliferation in rat models of hypertension possibly by regulating the Src-AKT1 axis, suggesting the potential of RLM as a new natural drug for treatment of pulmonary hypertension.
Animals ; Cell Proliferation/drug effects* ; Proto-Oncogene Proteins c-akt/metabolism* ; Rats, Sprague-Dawley ; Pulmonary Artery/cytology* ; Male ; Rats ; Myocytes, Smooth Muscle/cytology* ; Hypertension, Pulmonary/pathology* ; Drugs, Chinese Herbal/pharmacology* ; Signal Transduction/drug effects* ; Muscle, Smooth, Vascular/cytology* ; src-Family Kinases/metabolism* ; Cells, Cultured

Objectives:To evaluate the clinical value of the Paris system for reporting urinary cytology (TPS) in the diagnosis of urothelial carcinoma (UC).Methods:A total of 1 744 cytological diagnostic records (from 751 cases) were collected retrospectively. All specimens were voided urines and histopathology as the gold standard. The sensitivity and specificity of urinary cytological diagnosis of UC and risk of high grade malignant (ROHM) in each diagnostic category were compared.Results:There were 360 cases with histopathology. The percentage of negative for high-grade urothelial carcinoma (NHGUC) was 30.1% (226/751), atypical urothelial cells (AUC) was 29.8% (224/751), suspicious for high-grade urothelial carcinoma (SHGUC) was 16.8% (126/751), high grade urothelial carcinoma (HGUC) was 21.2% (159/751), and non-urothelial malignancy (NUM) was 2.1% (16/751). The histpathologic ROHM corresponding to each cytological diagnosis category were 27.3% for NHGUC, 32.7% for AUC, 74.7% for SHGUC, 96.6% for HGUC and 100.0% for NUM, respectively. ROHM of SHGUC was significantly higher than that of AUC group, and the difference between the two groups was statistically significant ( P＜0.001). ROHM of HGUC group was significantly higher than that of SHGUC group, and the difference was statistically significant ( P＜0.001). With SHGUC as the cut-off value, the sensitivity and specificity of cytological diagnosis of HGUC were 76.7% (165/215) and 85.7% (18/21), and with HGUC as the cut-off value, the sensitivity and specificity of cytological diagnosis of HGUC were 53.0% (114/215) and 100.0% (21/21), respectively. Conclusions:Urine cytology has high sensitivity and specificity in the diagnosis of HGUC. The malignant risk of TPS varies with different diagnosis category. The high malignant risk population in cancer hospital leads to the relatively high malignant proportion and ROHM in each diagnosis category. Urinary cytology TPS reporting system is helpful to clinical management and has good clinical application value.

Objective This study aimed to understand the epidemic status and phylogenetic relationships of rotavirus group A(RVA)in the Pearl River Delta region of Guangdong Province,China. Methods This study included individuals aged 28 days-85 years.A total of 706 stool samples from patients with acute gastroenteritis collected between January 2019 and January 2020 were analyzed for 17 causative pathogens,including RVA,using a Gastrointestinal Pathogen Panel,followed by genotyping,virus isolation,and complete sequencing to assess the genetic diversity of RVA. Results The overall RVA infection rate was 14.59%(103/706),with an irregular epidemiological pattern.The proportion of co-infection with RVA and other pathogens was 39.81%(41/103).Acute gastroenteritis is highly prevalent in young children aged 0-1 year,and RVA is the key pathogen circulating in patients 6-10 months of age with diarrhea.G9P[8](58.25%,60/103)was found to be the predominant genotype in the RVA strains,and the 41 RVA-positive strains that were successfully sequenced belonged to three different RVA genotypes in the phylogenetic analysis.Recombination analysis showed that gene reassortment events,selection pressure,codon usage bias,gene polymorphism,and post-translational modifications(PTMs)occurred in the G9P[8]and G3P[8]strains. Conclusion This study provides molecular evidence of RVA prevalence in the Pearl River Delta region of China,further enriching the existing information on its genetics and evolutionary characteristics and suggesting the emergence of genetic diversity.Strengthening the surveillance of genotypic changes and gene reassortment in RVA strains is essential for further research and a better understanding of strain variations for further vaccine development.

Objectives:To evaluate the clinical value of the Paris system for reporting urinary cytology (TPS) in the diagnosis of urothelial carcinoma (UC).Methods:A total of 1 744 cytological diagnostic records (from 751 cases) were collected retrospectively. All specimens were voided urines and histopathology as the gold standard. The sensitivity and specificity of urinary cytological diagnosis of UC and risk of high grade malignant (ROHM) in each diagnostic category were compared.Results:There were 360 cases with histopathology. The percentage of negative for high-grade urothelial carcinoma (NHGUC) was 30.1% (226/751), atypical urothelial cells (AUC) was 29.8% (224/751), suspicious for high-grade urothelial carcinoma (SHGUC) was 16.8% (126/751), high grade urothelial carcinoma (HGUC) was 21.2% (159/751), and non-urothelial malignancy (NUM) was 2.1% (16/751). The histpathologic ROHM corresponding to each cytological diagnosis category were 27.3% for NHGUC, 32.7% for AUC, 74.7% for SHGUC, 96.6% for HGUC and 100.0% for NUM, respectively. ROHM of SHGUC was significantly higher than that of AUC group, and the difference between the two groups was statistically significant ( P＜0.001). ROHM of HGUC group was significantly higher than that of SHGUC group, and the difference was statistically significant ( P＜0.001). With SHGUC as the cut-off value, the sensitivity and specificity of cytological diagnosis of HGUC were 76.7% (165/215) and 85.7% (18/21), and with HGUC as the cut-off value, the sensitivity and specificity of cytological diagnosis of HGUC were 53.0% (114/215) and 100.0% (21/21), respectively. Conclusions:Urine cytology has high sensitivity and specificity in the diagnosis of HGUC. The malignant risk of TPS varies with different diagnosis category. The high malignant risk population in cancer hospital leads to the relatively high malignant proportion and ROHM in each diagnosis category. Urinary cytology TPS reporting system is helpful to clinical management and has good clinical application value.

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.