Objective: To analyze the prevalence status and clustering patterns of risk factors for chronic diseases among adult residents in Rui' an City, Zhejiang Province, so as to provide a basis for formulating strategies for the prevention and control of chronic diseases and implementing risk factor interventions. Methods: A multi-stage random cluster sampling method was used to select residents aged ≥18 years in 5 townships (sub-districts) of Rui' an City as survey subjects from December 2023 to March 2024. Data on basic information, history of major chronic diseases, lifestyle behaviors, height, weight, and blood biochemical indicators were collected through questionnaire surveys, physical examinations, and laboratory tests. Descriptive analysis was used to analyze the prevalence status of 5 risk factors for chronic diseases. K-means clustering analysis was used to analyze clustering patterns. Results: A total of 3 060 people were surveyed, including 1 476 males, accounting for 48.24%, and 1 584 females, accounting for 51.76%. The median age was 49.00 (interquartile range, 25.00) years. There were 1 275 cases (41.67%) of hypertension, 462 cases (15.10%) of diabetes, and 1 460 cases (47.71%) of dyslipidemia. Insufficient fruit and vegetable intake, excessive salt intake, overweight and obesity, excessive red meat intake, and smoking involved 2 201, 1 878, 1 541, 1 337, and 571 people, with prevalences of 71.93%, 61.37%, 50.36%, 43.69%, and 18.66%, respectively. K-means clustering analysis identified 4 clustering patterns: smoking-insufficient fruit and vegetable intake type (249 people, accounting for 8.20%), low intake type (1 421 people, accounting for 46.75%). high red meat type (245 people, accounting for 8.07%), and high BMI-high salt type (1 118 people, accounting for 36.96%). The prevalences of hypertension and diabetes were higher in adult residents of the high BMI-high salt type, at 56.53% and 20.30%, respectively. The prevalence of dyslipidemia was higher in adult residents of the smoking-insufficient fruit and vegetable intake type, at 59.44%. Conclusions The prevalence of insufficient fruit and vegetable intake among adult residents in Rui' an City is relatively high. The clustering pattern of chronic disease risk factors is dominated by the low intake type. The prevalence of chronic diseases is higher in adult residents of the high BMI-high salt type and smoking-insufficient fruit and vegetable intake type. It is suggested to carry out health education and collaborative intervention of risk factors for different risk groups.

Inteins are unique protein insertion sequences capable of self-excision, enabling the covalent ligation of flanking extein peptides via amide bond formation. This process proceeds spontaneously without requiring external enzymes, cofactors, or chemical reagents, granting inteins exceptional biocompatibility and traceless performance in protein engineering applications. Split inteins represent a specialized and versatile subclass whose splicing domains are encoded by two separate gene fragments rather than a single continuous open reading frame. These fragments, known as the N-terminal (IntN) and C-terminal (IntC) split inteins, associate through non-covalent interactions including hydrophobic forces, hydrogen bonds, and van der Waals forces to assemble into an active three-dimensional structure, which then drives efficient extein ligation and enables protein trans-splicing. Protein trans-splicing mediated by split inteins has become a cornerstone for traceless protein ligation owing to its high specificity and irreversibility, fundamentally reshaping strategies for protein modification, assembly, and functional regulation. Compared with traditional chemical ligation methods, split intein systems require no complex chemical derivatization of peptide fragments and can operate efficiently at micromolar concentrations under physiological conditions, thus avoiding structural and functional damage caused by organic reagents. In contrast to enzymatic ligation tools such as sortase, split inteins eliminate the need for additional enzymes or cofactors, simplifying reaction systems, reducing costs, and minimizing non-specific side products. These distinctive advantages render split inteins highly promising for applications in chemical biology, synthetic biology, and biopharmaceutical development. In recent years, deepened mechanistic understanding has established structure-guided rational design as the primary approach to overcoming key limitations of split inteins, including intrinsic aggregation propensity, strict extein sequence dependence, and limited splicing efficiency. Bioinformatic tools have been used to identify aggregation-prone regions in the IntN fragment, and site-directed mutagenesis of hydrophobic residues, relocation of split sites, or removal of misfolding-prone sequences has substantially reduced in vitro aggregation and improved soluble expression and assembly activity. Rational engineering of catalytic residues and adjacent flexible loops has relaxed strict amino acid preferences at extein junctions, enhancing sequence tolerance and reducing the risk of functional impairment in target proteins. Consensus design based on multiple sequence alignments has yielded ultra-fast splicing variants such as Cfa DnaE and Cat-TerL, which exhibit significantly accelerated kinetics and improved tolerance to denaturing conditions. Meanwhile, advances in structural biology have further clarified the conformational dynamics and catalytic mechanisms of splicing, supporting the precise design of high-performance intein modules. On this basis, electrostatic interaction tuning and metagenomic screening have yielded multiple mutually orthogonal split intein pairs, enabling selective multi-fragment protein ligation and providing new routes for the efficient synthesis of large multi-domain functional proteins. With these engineered split inteins offering continuously improved performance and expanded applicability, protein trans-splicing has been widely applied in numerous cutting-edge areas of protein research and biomedicine. In gene delivery, split intein-based systems overcome the packaging limit of adeno-associated viral vectors, enabling the accurate reconstitution of large therapeutic proteins and base editors in target cells, thereby enhancing the efficacy and scope of gene therapy for genetic diseases. In internal protein sequence editing, split inteins mediate precise sequence replacement and modification in flexible regions or loops of target proteins, without the need for complex multi-step ligation and protein refolding involved in traditional protein semisynthesis. In protein-protein interaction studies, intein-mediated splicing covalently captures transient and weak intracellular complexes, enabling sensitive, high-throughput interaction detection and drug screening. In synthetic biology, conditionally controllable splicing systems support the construction of diverse intracellular and cell-surface biological logic gates for the precise regulation of cellular behavior. In mechanistic biochemical research, split inteins enable photocatalytic proximity labeling and site-specific tagging, allowing the preparation of homogeneous protein samples carrying precise post-translational modifications such as ubiquitination and polyglutamylation for chromatin interactome analysis and epigenetic studies. Moreover, covalent trapping strategies using split inteins stabilize transient enzymatic intermediates, providing unprecedented insights into molecular mechanisms such as nucleosome ubiquitination that are difficult to elucidate using conventional methods. This review systematically summarizes key technological advances in split inteins over the past decade, highlighting engineering strategies, mechanistic insights, and the development of orthogonal components. It comprehensively surveys emerging applications at the frontiers of protein research, analyzes current core challenges, and proposes future directions, particularly emphasizing artificial intelligence-driven de novo design and novel splicing pathways to break existing technical bottlenecks. By enabling traceless, efficient, and versatile protein manipulation, split inteins continue to serve as indispensable tools that drive innovation in protein engineering and fundamental life science research.

Objective:To summarized the clinical characteristics of intracranial germ cell tumors（iGCTs）in children, with the ultimate goal of facilitating early tumor identification and guiding the prompt selection of appropriate treatment strategies.Methods:A retrospective analysis was conducted on pediatric patients with primary iGCTs admitted to Beijing Tiantan Hospital Affiliated to Capital Medical University between March 2021 and June 2022. Patient age, gender, clinical manifestations, tumor marker levels in cerebrospinal fluid (CSF) and blood, imaging features, and histopathological examination results were meticulously collected and statistically analyzed.Results:A total of 126 pediatric patients with iGCTs were included in the study, of which 86 cases (68.3%) were male,and 40 cases (31.7%) were female.The average age was (10.0 ± 3.5) years old. The mean age of onset was found between 6~14 years old(80.1%), with a male-to-female ratio of 2.2:1.The tumors were predominantly located in the sellar region (30.2%), basal ganglia (23.8%), and pineal region (19.8%). Notably, there were distinct differences in tumor location across different age groups: pineal region tumors were most prevalent in preschool children (71.4%), basal ganglia tumors were more common in school-age children (41.9%), and sellar region involvement was highest among adolescent patients(44.8%). Based on molecular marker analysis and biopsy diagnosis, 79 cases were classified as germinoma, 3 as teratoma, 2 as yolk sac tumor, 1 as choriocarcinoma, and 41 as mixed germinoma.All children underwent head CT and MRI examinations. Among them, 99 cases showed high-density lesions on CT,while 27 cases showed mixed density,including 39 cases of calcification and 35 cases of hydrocephalus.MRI revealed atrophy of the cerebral peduncle, caudate nucleus head, or cerebral cortex in 38 cases, involvement of the basal ganglia in 33 cases, and midbrain involvement in 5 cases.Blood β-human chorionic gonadotropin (β-HCG) and alpha-fetoprotein (AFP) levels were examined in all patients, while CSF tumor marker levels were analyzed in 103 cases. There were 76 cases with elevated β-HCG in blood and/or cerebrospinal fluid, and 24 cases with elevated AFP in blood and/or CSF.Additionally, all 86 male patients underwent genital ultrasound, revealed testicular microlithiasis in 12 cases and testicular cysts in 6 cases.Conclusion:The clinical presentation of iGCTs in pediatric patients exhibits significant heterogeneity in terms of epidemiology, classification, tumor location, and molecular markers. Notably, CSF β-HCG and AFP levels are equally crucial diagnostic indicators alongside blood tumor markers.Histological examination should be performed as early as possible in clinically suspected cases with negative tumor markers. Clinicians should remain vigilant for early imaging negative potential cases. In addition, male children with testicular microlithiasis or cysts should be closely followed up.

Objective This study aims to investigate controversial cases of forensic clinical re-identification of fractures,exploring the characteristics,causes,and countermeasures related to identification errors in primary bone injuries,complications,and subsequent changes.The goal is to provide identification strategies for similar cases regarding the collection of identification materials,timing,and examination method selection,ultimately establishing a paradigm for such identifications.Methods A total of 103 cases of clinical re-identification of fractures accepted by the West China Forensic Identification Center from 2020 to 2024 were collected,and the data from initial identifications and re-identifications were retrospectively analyzed.Results Male cases accounted for 69.90%of the re-identifications,with disability grade(67.96%)and injury degree(30.10%)being the primary concerns.Individual requests represented a high proportion(92.86%)in the initial assessment of disability levels,while unit or joint requests dominated the re-assessment(92.86%).The agreement rates for disability grade and injury degree were 55.26%and 59.38%,respectively.The reassessment of disability grades primarily involved fractures of limb long bones,spine,and ribs,with 75.53%of opinions resulting in downgraded disability levels.Rib,orbital,and nasal bone fractures were the main focus in injury degree reassessments,with 84.62%of opinions indicating aggravated injuries.The consistency rates for fracture identification in disability grade assessments was 92.21%,while rates for injury degree and sequelae were 65.63%and 48.94%,respectively.Inconsistencies in identifying damage facts—including the presence of fractures,distinguishing between fresh and old fractures,and determining the nature of fractures and sequelae—were primarily noted in rib,orbital,and nasal bone fractures.The utilization rate of CT metadata in initial evaluations(25.00%)was significantly lower than in re-evaluations(95.00%).The identification time for joint mobility dysfunction after fracture in re-identifications was significantly longer than in initial identifications(P=0.0002),and the identification time for cases with agreement was significantly shorter than for cases with disagreement(P=0.036).Conclusion Image data type and identification timing are critical factors that may influence the accuracy and consistency of forensic clinical identification of bone injuries.When necessary,dynamic CT metadata in conjunction with image post-processing technology can be routinely employed to identify fractures of the ribs,orbital bones,or nasal bones,thereby reducing the risk of misidentification.

Objective:To analyze the epidemiological and clinical characteristics of respiratory pathogens in China.Methods:This study was a cross-sectional study, which encompassed 19 core units of the clinical pathogen network and established a three-tiered clinical pathogen surveillance system. Thirty respiratory samples were collected every two weeks from various units from January to December 2024, and the clinical and pathogen diagnostic information were gathered. A total of 11 864 samples were tested using this system. The tier-1 clinical pathogen surveillance system covered influenza A virus (Flu-A), influenza B virus (Flu-B), respiratory syncytial virus (RSV), and severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The tier-2 clinical pathogen surveillance system focused on 18 key respiratory pathogens. The tier-3 clinical pathogen surveillance system further clarified whether any emerging infectious diseases had occurred.Results:The tier-1 clinical pathogen surveillance system showed Flu-A predominated in December, Flu-B predominated in January, SARS-CoV-2 peaked in March and August, whereas RSV circulated sporadically throughout the year. Geographic trends were broadly consistent across the seven major regions, although Flu-A detection in December was notably higher in Northeast China (48.1%(111/231)) and East China (36.2%(148/409)), and RSV detection was concentrated in the Northwest and South China from January to March. Data from the tier-2 clinical pathogen surveillance system indicated that Streptococcus pneumoniae, Mycoplasma pneumoniae, rhinovirus, and adenovirus were detected year-round, of these, Streptococcus pneumoniae and rhinovirus showed elevated positive detection rates from August to September, while adenovirus peaked in January. Legionella pneumophila was not detected throughout the year, and other pathogens fluctuated throughout the year without a consistent pattern. The predominant etiologic agents of pediatric pneumonia were Mycoplasma pneumoniae (35.0%(105/300)), rhinovirus (25.7%(77/300)), and adenovirus (17.3%(52/300)), whereas adult pneumonia was mainly caused by Streptococcus pneumoniae (10.5%(29/277)), Staphylococcus aureus (6.9%(19/277)), Mycoplasma pneumoniae (6.9%(19/277)), and Flu-A (6.1%(17/277)). The tier-3 clinical pathogen surveillance system did not identify any emerging respiratory pathogens. Conclusion:Respiratory pathogens in China in 2024 exhibit distinct temporal and spatial distribution patterns and vary among different populations.

BACKGROUND:Enhancing the differentiation of induced pluripotent stem cells into lung stem cells is crucial for repairing lung injuries.NKX2.1 is the earliest marker of lung epithelial differentiation and plays a significant regulatory role in lung development.However,the impact of its expression on the differentiation of induced pluripotent stem cells into lung stem cells remains inadequately understood.OBJECTIVE:To investigate the effect of NKX2.1 on the differentiation of induced pluripotent stem cells into lung stem cells.METHODS:Induced pluripotent stem cells were cultured in vitro.The expression of specific pluripotent stem cell genes was assessed using real-time fluorescence quantitative PCR.NKX2.1 was overexpressed in induced pluripotent stem cells,which were then induced to differentiate into lung stem cells.The expression of FoxA2,SOX9,and P63 was determined via quantitative PCR and immunofluorescence on day 7 of induction of differentiation.The expression of the alveolar marker SPB and SPC was evaluated through immunofluorescence staining on day 7 of induction of differentiation.RESULTS AND CONCLUSION:(1)Induced pluripotent stem cells in vitro were tightly packed and showed typical clonoid growth and significantly expressed stem cell-specific genes OCT-4,SOX2,and NANOG.(2)Compared with the non-transfected control group,the expression of NKX2.1 in human induced pluripotent stem cells was significantly increased in the NKX2.1 overexpression group(P＜0.000 1).(3)Seven days after induction of differentiation,compared with the non-transfected control group,the expression of lung stem cell-related markers FoxA2,SOX9,and P63 was significantly increased in the NKX2.1 overexpression group(P＜0.000 1).(4)Thirteen days after induction of differentiation,compared with the non-transfected control group,the fluorescence intensity of alveolar cell marker molecules SPB and SPC increased significantly in the overexpression NKX2.1 group.The results show that NKX2.1 can promote the differentiation of induced pluripotent stem cells into lung stem cells.

Objective:To establish a mouse model of liver cancer resistant to PD-1 monoclonal antibody and analyze the changes in its metabolomics to explore the potential mechanism of drug resistance.Methods:BALB/c mice were randomly divided into control and treatment groups after being loaded with tumor,and a normal group was additionally set up.The normal and control groups were injected with saline,and the treatment group was injected with PD-1 monoclonal antibody,after which the mice in the treatment group were screened for drug resistant and response groups.Observed the drug-resistant situation,body mass,tumor growth and survival rate of mice in each group,calculate the spleen index.The pathological features of tumor tissues were observed by HE staining method.Serum metabolites were detected by non-targeted metabolomics.Finally,a bivariate Pearson correlation analysis was conducted between the differential serum metabolites and tumor size.Results:The tumor-bearing mouse model with PD-1 monoclonal antibody resistance was successfully established,and the drug resistance rate of the mice was 50％.Compared with the normal and response groups,mice in the resistant group showed an increase in body weight,a significant increase in tumor volume,a decrease in survival rate,and a significant increase in splenic index.There was less lymphocyte infiltration in the tumor tissue.Metabolomics analysis showed that the serum levels of glutamic acid and aspartic acid increased and malic acid decreased in the resistant mice compared with the response group,and these changes were closely related to the arginine biosynthesis pathway.Conclusions:The tumor-bearing mouse model with PD-1 monoclonal antibody resistance was successfully established.The changes in its peripheral serum metabolomics mainly involve arginine metabolism and the related changes of aspartate,malate and glutamate.

In response to existing issues in preventive medicine education in China, Chongqing Medical University has implemented a series of reform measures in the major of preventive medicine since 2017. The construction of national first-class major of preventive medicine adopted the concept of "student-centered and market-oriented". This major scientifically formulated the talent cultivation goal of "cultivating high-quality, innovative, and application-oriented talents", constructed a curriculum system centered around professional competency training, emphasized a teaching mode that integrated "digital intelligence empowerment" and "combination of theory and practice". Moreover, we aimed to advance the ideological and political education reform of the courses, refine the diversified evaluation system, and bolster the development of teaching staff and the assurance of teaching quality. Following these reforms, the major has made significant achievements in talent cultivation effectiveness, curriculum system development, and teaching mode innovation. In the future, the major will persist in deepening the digital intelligence transformation, fostering interdisciplinary integration, enhancing international cooperation, and continuously advancing the construction and reform of preventive medicine as a national first-class major.

Objective To construct a global model of cardiac surface motion based on average intensity projection(AIP)image.Methods The cine magnetic resonance imaging data were divided into training set and test set for model construction and validation.The datum points were obtained on the AIP surface point cloud,and the corresponding points of each cardiac phase surface point cloud were found based on surface features.Principal component analysis was used to extract feature information,establish the mapping relationship between the datum points and the corresponding points,and construct a model for predicting each temporal phase surface point cloud from the AIP surface point cloud.Results The RMSE of the model on test set for corresponding point prediction ranged from(0.209±0.020)mm to(0.841±0.074)mm,while the Euclidean distance for each time phase surface point cloud prediction ranged from(1.399±0.029)mm to(1.658±0.100)mm.Conclusion The proposed global model exhibit high accuracy and can provide a reference for image segmentation and clinical treatments.

BACKGROUND:Research on physical activity and executive function continues to emerge,but no scholars have used visual tools to explore the dynamic evolution path of research topics in this field.OBJECTIVE:To explore the dynamic evolution process of research topics in the field of physical activity and executive function using bibliometrics methos,so as to clarify their development status and changes in knowledge structure.METHODS:The Web of Science database was searched by the search formula:TS=("Physical activity"AND"Executive function*")OR TS=(Exercise AND"Executive function*").According to the inclusion and exclusion criteria,4 386 relevant documents were selected as content,and SciMAT software was used for visual analysis.RESULTS AND CONCLUSION:The field of physical activity and executive function is booming,with more and more in-depth research and more room for future development.This field can be divided into four directions:executive function,children,the elderly,and intervention,and forms 11 main evolutionary paths.Topics such as"motor skills,""lifestyle,""aerobic exercise,"and"interventions"are likely to be the focus of future research,with the"adolescent"and"elderly"groups being the focus of research in this area.