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.

Alcoholic liver disease(ALD), a major cause of chronic liver disease worldwide, poses a serious threat to human health. Despite the availability of various drugs for treating ALD, their efficacy is often uncertain, necessitating the search for new therapeutic approaches. Traditional Chinese medicine polysaccharides have garnered increasing attention in recent years due to their versatility, high efficiency, and low side effects, and they have demonstrated significant potential in preventing and treating ALD. Emerging studies have suggested that these polysaccharides exert their therapeutic effects through multiple mechanisms, including the inhibition of oxidative stress and the regulation of lipid metabolism, gut microbiota, and programmed cell death. This review summarizes the recent research progress in the pharmacological effects and regulatory mechanisms of traditional Chinese medicine polysaccharides in treating ALD, aiming to provide a scientific basis and theoretical support for their application in the prevention and treatment of ALD.
Humans ; Liver Diseases, Alcoholic/metabolism* ; Polysaccharides/administration & dosage* ; Drugs, Chinese Herbal/administration & dosage* ; Animals ; Oxidative Stress/drug effects* ; Medicine, Chinese Traditional ; Gastrointestinal Microbiome/drug effects* ; Lipid Metabolism/drug effects*

Objective This study aimed to determine the current epidemiological status of PLWHA aged≥50 years in China from 2018 to 2021.It also aimed to recommend targeted interventions for the prevention and treatment of HIV/AIDS in elderly patients. Methods Data on newly reported cases of PLWHA,aged≥50 years in China from 2018 to 2021,were collected using the CRIMS.Trend tests and spatial analyses were also conducted. Results Between 2018 and 2021,237,724 HIV/AIDS cases were reported among patients aged≥50 years in China.The main transmission route was heterosexual transmission(91.24%).Commercial heterosexual transmission(CHC)was the primary mode of transmission among males,while non-marital non-CHC([NMNCHC];60.59%)was the prevalent route in women.The proportion of patients with CHC decreased over time(Z = 67.716,P<0.01),while that of patients with NMNCHC increased(Z = 153.05,P<0.01).The sex ratio varied among the different modes of infection,and it peaked at 17.65 for CHC.The spatial analysis indicated spatial clustering,and the high-high clustering areas were mainly distributed in the southwestern and central-southern provinces. Conclusion In China,PLWHA,aged≥50 years,were predominantly infected through heterosexual transmission.The primary modes of infection were CHC and NMNCHC.There were variations in the sex ratio among different age groups,infected through various sexual behaviors.HIV/AIDS cases exhibited spatial clustering.Based on these results,the expansion of HIV testing,treatment,and integrated behavioral interventions in high-risk populations is recommended to enhance disease detection in key regions.

Objective To summarize the distribution characteristics of healthcare-associated infection(HAI)after esophageal cancer surgery,analyze the relevant risk factors for HAI,provide reference for reducing HAI after esophageal cancer surgery,and improve patients'life quality.Methods Clinical data of patients with esophageal cancer who underwent surgery in a hospital from January to December 2022 were analyzed retrospectively.Postope-rative HAI sites and distribution were summarized.Chi-square test,univariate analysis and multivariate analysis were adopted to conduct correlation analysis on the basic characteristics,surgery-related influencing factors,antimi-crobial use,risk factors and the occurrence of HAI in patients during hospitalization period.Results A total of 404 patients underwent esophageal cancer surgery were included in the analysis,among which 102 cases had 118 epi-sodes of HAI,leading to an incidence and a case incidence of HAI of 25.25％and 29.21％respectively.The major infection sites were lower respiratory tract(n=57,48.31％),pleural cavity(n=31,26.27％),and organ space(n=16,13.56％).Multivariate logistic regression analysis showed that age ≥60 years(OR=2.115,95％CI:1.150-3.890),length of hospital stay ≥25 days(OR=8.388,95％CI:4.491-15.667)and duration of postope-rative antimicrobial use ≥10 days(OR=2.885,95％CI:1.506-5.527)were independent risk factors for the oc-currence of postoperative HAI(all P＜0.05).Conclusion The major HAI in patients after esophageal cancer sur-gery is lower respiratory tract infection,and is caused by multiple factors.Patients aged ≥60 years,with a length of hospital stay ≥25 days,and duration of postoperative antimicrobial use ≥10 days are more likely to develop postope-rative HAI.In order to improve the life quality of patients underwent esophageal cancer surgery,it is rec-ommended to further strengthen perioperative management,optimize the nursing quality for patients during hospi-talization,and use antimicrobial agents rationally to reduce the occurrence of HAI.

Objective To investigate the effects of exercise and complex environment on lipopolysaccharide(LPS)-induced dopaminergic neuron death in the substantia nigra of midbrain.Methods C57BL/6 mice were divided into control group,LPS group,LPS+swimming group and LPS+complex environment group,with 7 mice in each group.The mice in the LPS group were injected with LPS into the brain to establish an inflammatory model of Parkinson's disease and lived in cages for 2 weeks.Mice in LPS+swimming group were forced to swim for 15 minutes every day for 2 weeks after modeling.The mice in the LPS+complex environment group were placed in a complex environment for 2 weeks after modeling.The control group mice were not treated.After 14 days of modeling,behavioral experiments such as footprint,open field and rotating rod were performed on each group of mice to detect the autonomous exercise ability,exercise balance ability and depression level of mice.The expressions of tyrosine hydroxylase(TH)in substantia nigra was detected by immunohistochemical staining and Western blotting.The expressions of brain-derived neurotrophic factor(BDNF),Caspase-3,interleukin-1β(IL-1β),interleukin-6(IL-6)and tumor necrosis factor-α(TNF-α)in the substantia nigra of the midbrain were detected by Western blotting.The transcription levels of IL-1β,IL-6 and TNF-α in substantia nigra were detected by RT-PCR.Results Compared with the control group,the exercise ability and balance ability of mice in LPS group,LPS+swimming group and LPS+complex environment group decreased,the depression level increased(P＜0.001),the number of TH positive neurons and BDNF protein decreased significantly(P＜0.001),and the contents of Caspase-3,IL-1β,IL-6 and TNF-α increased significantly(P＜0.001).Compared with the LPS group,the exercise ability and balance ability of the mice in the LPS+swimming group and the LPS+complex environment group were restored,the depression level decreased significantly(P＜0.01),the survival number of TH positive neurons and the content of BDNF increased significantly(P＜0.01),Caspase-3,IL-1β,IL-6 and TNF-α reduced significantly(P＜0.01),and the phenomenon in the LPS+complex environment group was more significant.Conclusion Exercise and complex environment can inhibit LPS-induced central nervous system inflammation in mice,thereby reducing damage to midbrain substantia nigra neurons,and the inhibitory effect of LPS+complex environment group is more significant.

Objective To establish age estimation models of northern Chinese Han adults using cranial suture images obtained by CT and multiplanar reformation(MPR),and to explore the applicability of cranial suture closure rule in age estimation of northern Chinese Han population.Methods The head CT samples of 132 northern Chinese Han adults aged 29-80 years were retrospectively collected.Volume reconstruction(VR)and MPR were performed on the skull,and 160 cranial suture tomography images were generated for each sample.Then the MPR images of cranial sutures were scored according to the closure grading criteria,and the mean closure grades of sagittal suture,coronal sutures(both left and right)and lambdoid sutures(both left and right)were calculated respectively.Finally taking the above grades as independent variables,the linear regression model and four machine learning models for age estimation(gradient boosting regression,support vector regression,decision tree regression and Bayesian ridge regression)were established for northern Chinese Han adults age estimation.The accu-racy of each model was evaluated.Results Each cranial suture closure grade was positively correlated with age and the correlation of sagittal suture was the highest.All four machine learning models had higher age estimation accuracy than linear regression model.The support vector regression model had the highest accuracy among the machine learning models with a mean absolute error of 9.542 years.Conclusion The combination of skull CT-MPR and machine learning model can be used for age esti-mation in northern Chinese Han adults,but it is still necessary to combine with other adult age estima-tion indicators in forensic practice.

Objective To understand the current situation and explore the influencing factors of delay in seeking medical treatment for common symptoms of residents in the rural areas of Sichuan province. Methods In July 2019,multi-stage random sampling was carried out in Zigong city,Sichuan province,and the data were collected by face-to-face questionnaire interview.The residents who had lived at hometown for more than half a year in the past year and had seen a doctor in the most recent month were surveyed.Logistic regression was adopted to predict the influencing factors of delay in seeking medical treatment. Results A total of 342 subjects were enrolled,and the incidence of delay in seeking medical treatment was 13.45%(46/342).Compared with the young and middle-aged(<65 years)people,the elderly(≥65 years)people were more likely to have delay in seeking medical treatment (OR=2.187,95%CI=1.074-4.457,P=0.031).The rural residents who gave higher score of the overall quality of township health centers were less likely to have delay in seeking medical treatment (OR=0.854,95%CI=0.735-0.992,P=0.039). Conclusions The occurrence of delay in seeking medical treatment for common symptoms of rural residents in Sichuan province is low.Age and the overall quality evaluation of township health centers affect the occurrence of delay in medical treatment among the rural residents in Sichuan province.Efforts should be made to improve the awareness of disease prevention among the elderly in rural areas.The investment in health resources in township health centers should be increased to strengthen the introduction and training of talents.These measures can improve the health services in township health centers,guide residents to make timely use of health resources,and reduce the occurrence of delay in seeking medical treatment.
Middle Aged ; Aged ; Humans ; Surveys and Questionnaires ; Logistic Models ; Rural Population ; China/epidemiology*

Objective: To analyze the clinical and genetic characteristics of pediatric patients with dual genetic diagnoses (DGD). Methods: Clinical and genetic data of pediatric patients with DGD from January 2021 to February 2022 in Peking University First Hospital were collected and analyzed retrospectively. Results: Among the 9 children, 6 were boys and 3 were girls. The age of last visit or follow-up was 5.0 (2.7,6.8) years. The main clinical manifestations included motor retardation, mental retardation, multiple malformations, and skeletal deformity. Cases 1-4 were all all boys, showed myopathic gait, poor running and jumping, and significantly increased level of serum creatine kinase. Disease-causing variations in Duchenne muscular dystrophy (DMD) gene were confirmed by genetic testing. The 4 children were diagnosed with DMD or Becker muscular dystrophy combined with a second genetic disease, including hypertrophic osteoarthropathy, spinal muscular atrophy, fragile X syndrome, and cerebral cavernous malformations type 3, respectively. Cases 5-9 were clinically and genetically diagnosed as COL9A1 gene-related multiple epiphyseal dysplasia type 6 combined with NF1 gene-related neurofibromatosis type 1, COL6A3 gene-related Bethlem myopathy with WNT1 gene-related osteogenesis imperfecta type XV, Turner syndrome (45, X0/46, XX chimera) with TH gene-related Segawa syndrome, Chromosome 22q11.2 microduplication syndrome with DYNC1H1 gene-related autosomal dominant lower extremity-predominant spinal muscular atrophy-1, and ANKRD11 gene-related KBG syndrome combined with IRF2BPL gene-related neurodevelopmental disorder with regression, abnormal movement, language loss and epilepsy. DMD was the most common, and there were 6 autosomal dominant diseases caused by de novo heterozygous pathogenic variations. Conclusions: Pediatric patients with coexistence of double genetic diagnoses show complex phenotypes. When the clinical manifestations and progression are not fully consistent with the diagnosed rare genetic disease, a second rare genetic disease should be considered, and autosomal dominant diseases caused by de novo heterozygous pathogenic variation should be paid attention to. Trio-based whole-exome sequencing combining a variety of molecular genetic tests would be helpful for precise diagnosis.
Humans ; Abnormalities, Multiple ; Retrospective Studies ; Intellectual Disability/genetics* ; Bone Diseases, Developmental/complications* ; Tooth Abnormalities/complications* ; Facies ; Muscular Dystrophy, Duchenne/complications* ; Muscular Atrophy, Spinal/complications* ; Carrier Proteins ; Nuclear Proteins

AIM:To explore the effect of genetic factors on the pathogenesis of keratoconus and its genetic model.METHODS: Genetic epidemiological methods were used to investigate the prevalence of keratoconus in 280 first-degree relatives of 100 patients with keratoconus who attended Henan Eye Hospital between July 2020 and April 2023. The heritability was estimated by Falconer regression method. The general genetic model was calculated using Penrose method, and the genetic model was confirmed by Falconer formula, Edwards approximation formula and the projection formula of San-Duo Jiang's threshold model theory.RESULTS: The results showed that there were 16(5.714%)first-degree relatives of keratoconus probands suffering from keratoconus, and the heritability of keratoconus was(86.100±7.400)%. The S/q score calculated by the Penrose method was 35.348, which was near to 1/(q)1/2, suggesting that the genetic model of keratoconus might be polygenic inheritance. The expected prevalence in first-degree relatives of keratoconus patients by Falconer formula, Edwards approximation formula and the projection formula of San-Duo Jiang's threshold model theory were 5.900%, 7.714% and 5.700%, respectively, which showed no significant differences from the actual prevalence(5.714%), suggesting that keratoconus was a polygenetic disease.CONCLUSION:Genetic factors might play an important role in the pathogenesis of keratoconus, and keratoconus is a polygenetic disease.

Objective:The purpose of quantitatively evaluating policies related to clinical specialties and exploring existing policy problems and paths to optimization is to provide a reference basis for the formulation and improvement of the policies.Methods:Text mining was conducted on the policies related to clinical specialties issued by the national and some provincial governments since the new medical reform in 2009.The PMC index model was used to construct a comprehensive evaluation system of policies containing 9 primary variables and 35 secondary variables.22 clinical specialty policies were selected for quantitative analysis.Results:Among the 22 clinical specialty policies,6 policies were good-type policies,14 were acceptable-type policies,2 were bad-type policies,and there were no excellent-type policies.The overall design of the policies related to clinical specialties is reasonable,but there is still room for improvement.Conclusion:The quality of China's clinical specialty policy text needs to be improved,and it is necessary to strengthen the top-level design,optimise the content of the objectives,focus on the balanced and sustainable development of the speciality,give full play to the role of demand-based policy tools,and enrich the incentives and constraints,in order to mobilise multi-principal participation in the construction of the clinical speciality enthusiasm.