Objective: To understand the epidemiological characteristics of a pertussis outbreak in Guangzhou, so as to provide references for outbreak response and prevention strategies. Methods: From April 5 to June 9, 2024, case screening was conducted among 246 preschool children, 35 staff members, and one full time school nurse in a kindergarten in Guangzhou based on case definition. Field epidemiological investigation methods were employed to collect relevant information, and screening samples were collected from individuals involved in the outbreak. The clinical manifestations, epidemiological characteristics, and risk factors for transmission of the outbreak were analyzed, with rate comparisons performed using the χ 2 test. Results: There were a total of 15 confirmed cases of pertussis in the kindergarten. The main clinical manifestations included intermittent cough in 14 cases ( 93.33 %), sputum production in 5 cases (33.33%), fever in 2 cases (13.33%), paroxysmal spasmodic cough in 1 case (6.67%), and vomiting in 1 case (6.67%). There was no statistically significant difference in the reporting rates of interrupted cough symptoms between pertussis cases (93.33%) and non pertussis cases (92.86%)( χ 2=3.74, P >0.05). The cases were aged 4-5 years, including 5 males and 10 females. The interval between symptom onset and diagnosis ranged from 2 to 25 days, with a median of 10 days. The outbreak involved two classes, with attack rates of 48.28% and 3.45%, respectively. Laboratory testing confirmed 14 close contacts positive for Bordetella pertussisnucleic acid. Among close contacts, only one received prophylactic medication as required. Conclusion The outbreak is a pertussis outbreak in a kindergarten caused by Bordetella pertussis infection, demonstrating distinct temporal and spatial clustering characteristics.

BACKGROUND:Cervical disc herniation can cause pain in the neck and shoulder area,as well as radiating pain in the upper limbs.The incidence rate is increasing year by year and tends to affect younger individuals.Fully understanding the biomechanical characteristics of the cervical spine in adolescents is of great significance for preventing and delaying the onset of cervical disc herniation in this age group. OBJECTIVE:To reconstruct cervical spine models for both healthy adolescents and adolescent patients with cervical disc herniation utilizing finite element analysis techniques,to analyze the motion range of the C1-T1 cervical vertebrae as well as the biomechanical characteristics of the annulus fibrosus,nucleus pulposus,endplates,and the cartilage of the small joints. METHODS:A normal adolescent's cervical spine and an adolescent patient with cervical disc herniation were selected in this study.The continuous scan cervical spine CT raw image data were imported into Mimics 21.0 in DICOM format.The C1-T1 vertebrae were reconstructed separately.Subsequently,the established models were imported into the 3-Matic software for disc reconstruction.The perfected models were then imported into Hypermesh software for meshing of the vertebrae,nucleus pulposus,annulus fibrosus,and ligaments,creating valid geometric models.After assigning material properties,the final models were imported into ABAQUS software to observe the joint motion range of the C1-C7 cervical vertebrae segments under different conditions,and to analyze the biomechanical characteristics of the annulus fibrosus,nucleus pulposus,endplates,and small joint cartilage of each cervical spine segment. RESULTS AND CONCLUSION:(1)In six different conditions,the joint motion range of the C1 vertebra in the cervical spine models of both normal adolescent and adolescent patient with cervical disc herniation was higher than that of the other vertebrae.Additionally,the joint motion range of each cervical spine segment in normal adolescent was greater than that in adolescent patient with cervical disc herniation.(2)In the cervical spine model of normal adolescent,the maximum stress values in the annulus fibrosus and nucleus pulposus were found on the left side during C2-3 flexion conditions(0.43 MPa and 0.17 MPa,respectively).In the cervical spine model of adolescent patient with cervical disc herniation,the maximum stress values were found on the left side during C7-T1 flexion conditions(0.54 MPa and 0.18 MPa,respectively).(3)In the cervical spine model of normal adolescent,the maximum stress value on the endplate was found on the left side of the upper endplate of C3 during flexion conditions(1.46 MPa).In the model of adolescent patient with cervical disc herniation,the maximum stress value on the endplate was found on the left side of the lower endplate of C7 during flexion conditions(1.32 MPa).(4)In the cervical spine model of normal adolescent,the maximum stress value in the small joint cartilage was found in the C2-3 left rotation conditions(0.98 MPa).In adolescent patient with cervical disc herniation,the stress in the small joint cartilage significantly increased under different conditions,especially in C1-2,with the maximum stress found during left flexion(3.50 MPa).(5)It is concluded that compared to normal adolescent,adolescent patient with cervical disc herniation exhibits altered cervical curvature and a decrease in overall joint motion range in the cervical spine.In adolescent with cervical disc herniation,there is a significant increase in stress on the annulus fibrosus,nucleus pulposus,and endplates in the C7-T1 segment.The stress on the left articular cartilage of the C1-2 is notable.Abnormal cervical curvature may be the primary factor causing these stress changes.

Osteoporosis is a common bone disease， whose incidence is still on the rise， posing great challenges to patients and society. This review mainly studies the pathogenesis of osteoporosis from the aspects of oxidative stress， inflammatory response， and glucolipotoxicity-induced injury and clarifies the efficacy and mechanism of some active ingredients of traditional Chinese medicine against osteoporosis through the integration of in vitro and in vivo experiments. The experimental results suggest that some active ingredients can improve bone resorption markers and maintain bone homeostasis by modulating inflammation， oxidative stress， etc. These active ingredients regulate osteoporosis through the receptor activator of nuclear transcription factor-κB （NF-κB） ligand （RANKL） pathway， osteoprotegerin （OPG） pathway， Wnt/β-catenin pathway， NF-κB pathway， mitogen-activated protein kinase （MAPK） pathway， adenosine monophosphate （AMP）-activated protein kinase （AMPK）/mammalian target of rapamycin （mTOR） pathway， and oxidative stress pathway. This review provides ideas for the progress of the prevention and treatment of osteoporosis with the active ingredients of traditional Chinese medicine， aiming to provide new potential lead compounds and reference for the development of innovative drugs and clinical therapy for the treatment of osteoporosis.

Objective To investigate the feasibility of the spatiotemporal filtering model in analysis of reported schistosomiasis cases, so as to provide insights into analysis of complicated data pertaining to schistosomiasis control. Methods Demographic and epidemiological data of reported schistosomiasis cases in Anhui Province from 1997 to 2010 were collected from Anhui Provincial Center for Disease Control and Prevention, and the annual prevalence of Schistosoma japonicum human infections was calculated. The meteorological data were captured from meteorological stations in counties (cities, districts) of Anhui Province where schistosomiasis cases were reported from 1997 to 2010 at the National Meteorological Information Center, including monthly average air temperature and precipitation. Meteorological data were interpolated using the inverse-distance weighting method, and the annual average air temperature and annual precipitation were calculated in each county (city, district). The centroid of the county (city, district) where schistosomiasis cases were reported was extracted using the software ArcGIS 10.0, and the Euclidean distance from each centroid to the Yangtze River was calculated as the distance between that county (city, district) and the Yangtze River. The global Moran’s I of the prevalence of S. japonicum human infections in Anhui Province for each year from 1997 to 2010 were calculated to analyze the spatial autocorrelation. A spatial weight matrix was constructed using Rook adjacency, and a first-order temporal weight matrix was built to quantify the relationship between disease changes over time. Subsequently, a spatiotemporal structure matrix was constructed. A negative binomial model was built based on the spatiotemporal structure matrix and data pertaining to reported schistosomiasis cases, and a linear model was created between the residual of the model and candidate set feature vectors to determine the optimal subset composition of the spatiotemporal filter through stepwise regression. Then, a spatio-temporal filtering model was constructed using the negative binomial model. Negative binomial models, Bayesian spatial models, and Bayesian spatiotemporal models were constructed and compared with the spatiotemporal filtering model to validate the performance of the spatiotemporal filtering model, and cross-validation was conducted for each model. The goodness of fit was evaluated using the deviance information criterion (DIC) and Watanabe-Akaike information criterion (WAIC), and the effectiveness of model validation was assessed using mean squared error (MSE), while the accuracy of assessment results was assessed using coefficients and their 95% confidence intervals (CI), and the computational efficiency was assessed based on the running time of the model. The four feature vectors with the largest Moran’s I values were selected to identify regions with autocorrelation through their schematic diagrams to investigate the differences in spatiotemporal patterns of specific regions. Results Of all models created, the spatiotemporal filtering model exhibited the highest goodness of fit (DIC = 3 240.70, WAIC = 3 257.80), the best model validation effectiveness (MSE = 42 617.52), and the runtime was 3.18 s, exhibiting the optimal performance. Across all modeling results, the distance from the Yangtze River showed a negative correlation with the number of reported schistosomiasis cases (coefficient values = −4.93 to −3.78, none of the 95% CIs included 0), and annual average air temperature or average precipitation posed no significant effects on numbers of reported schistosomiasis cases (both of the 95% CIs included 0). Schematic diagrams of feature vectors showed that the transmission of schistosomiasis might be associated with water systems in Anhui Province, and localized clustering patterns were primarily concentrated in the northern and western parts of schistosomiasis-endemic areas in the province. Conclusion The spatiotemporal filtering model is an effective spatiotemporal analysis characterized by simple modeling, user-friendly operation, accurate results and good flexibility, which may serve as an efficient alternative to conventional complex spatiotemporal models for data analysis in schistosomiasis researches.

Gastric carcinoma(GC),a highly prevalent malignant tumor globally,often progresses to advanced stages by the time of diagnosis due to its insidious clinical presentation,thereby significantly reducing therapeutic effectiveness and patient quality of life.Accurate screening and histopathological characterization of early gastric cancer(EGC)are essential for developing individualized treatment approaches.Although endoscopic techniques remain the gold standard for early GC detection,their diagnostic accuracy is largely dependent on the operator's skill,a challenge that current artificial intelligence(AI)-assisted innovations aim to address by stan-dardizing diagnostic procedures.Deep learning(DL)-based computer vision systems have demonstrated remarkable performance in identifying subtle EGC features,not only improving lesion detection sensitivity but also enabling automated assessment of key pathological indicators.These technological advances offer objective,visualized diag-nostic support for clinical decision-making.This review provides a systematic overview of recent developments in DL applications for endoscopic image analysis of EGC and evaluates their potential for clinical integration.

Video-assisted thoracoscopic surgery (VATS) is the standard procedure for the treatment of lung cancer in the early and middle stages in recent years. The diaphragm is the main respiratory muscle that maintains effective pulmonary ventilation. Diaphragmatic dysfunction is a short-term or permanent dysfunction of one or both diaphragms caused by various factors, mainly manifested as diaphragm distension, diaphragm weakness and diaphragm paralysis, which can lead to respiratory dysfunction, even respiratory failure. This article reviews the etiology, clinical symptoms and signs, diagnosis, treatment and prognosis of diaphragmatic dysfunction after VATS lobectomy, aiming to provide clinicians with assessment methods and management framework for timely diagnosis and treatment of diaphragmatic dysfunction after VATS lobectomy, so as to optimize postoperative respiratory rehabilitation and improve long-term prognosis and quality of life of patients.

With the advancement of space exploration missions,space station operations have entered a routine phase,where single-flight missions last up to six months.Previous studies indicate that the spaceflight environment severely compromises the immune system,increasing the susceptibility to diseases.As primary responders to pathogenic challenges,immune cells exhibit exceptional sensitivity to gravitational alterations and background ionizing radiation in space,with their dysfunction being a critical health risk.For innate immunity,the complex space environment disrupts macrophage polarization and phagocytosis,neutrophil chemotaxis and killing,natural killer(NK)cell cytotoxicity,and dendritic cell maturation,leading to functional impairment of innate immune defenses.For adaptive immunity,microgravity and radiation induce cellular immune dysregulation by suppressing T cell proliferative capacity and perturbing Th1/Th2/Treg subset balance,while simultaneously undermining humoral immunity through interference with B-lymphocyte protein synthesis,blockade of developmental maturation,and reduction of effector B cell populations.This review summarizes recent advances in understanding space environment-induced immune perturbations and protection options using traditional Chinese medicine,focusing on microgravity and radiation.It not only deciphers molecular mechanisms underpinning immune cell dysfunction but also provides a theoretical foundation and drug-targeting strategies for developing countermeasures against spaceflight-specific immune dysfunction.

Microfibrino-associated protein (MFAP) 2 is an extracellular matrix glycoprotein and a member of the MFAP family. It participates in the assembly of extracellular elastic microfibers.Upregulation of MFAP2 can promote the occurrence and development of various tumors and regulate multiple cancer-related signaling pathways and is related to their prognosis, making it a potential target for tumor treatment. This article summarizes the research progress on the pathogenesis, targeted therapy and prognosis of MFAP2 in malignant tumors.

The medical mask,which is used as an important tool of preventing the spread of respiratory diseases,can effectively block the transmission of biological aerosols.The detection for the filtration efficiency of bacteria in medical mask is particular importance.The Andersen sampler,is one kind of device that samples microbial aerosols,is widely used in the inspection for the filtration efficiency for bacteria in medical masks.It mainly consists of six impactors with different pore sizes.It simulates the deposition process of the most of particles at different positions in respiratory system through the bacterial particles in biological aerosols impact respectively the surface of petri dishes with agar under different pore sizes.This paper explored the development background,structure and sampling principle,operation and counting procedures of the Andersen sampler,as well as its application and importance in the inspection for the filtration efficiency for bacteria in medical mask.

Objective:To investigate the measurement differences between mainstream and sidestream partial pressure of end tidal carbon dioxide(PetCO2)monitoring techniques in mechanically ventilated patients,as well as the correlation with partial pressure of arterial blood carbon dioxide(PaCO2)and clinical applicability,and to provide a basis for the rational selection of monitoring methods in the clinic.Methods:A total of 169 patients who underwent invasive mechanical ventilation in the operating room of the First Affiliated Hospital of Bengbu Medical University from August to November 2024 were selected to be monitored by three monitoring techniques of mainstream PetCO2,sidestream PetCO2 and PaCO2,respectively,and the 243 sets of valid pairwise data monitored by the three monitoring techniques were recorded,analyzed for correlation and deviation,and performed PaCO2 and PetCO2 were stratified and analyzed.Likert scales were used to analyze the subjective ratings of the 3 monitoring techniques of mainstream PetCO2,sidestream PetCO2,and PaCO2 by the 31 health care professionals who used the study.Results:Both mainstream and sidestream PetCO2 correlated with PaCO2(r=0.554,0.515,P<0.05),and mainstream PetCO2 correlated better than sidestream;mainstream PetCO2 was lower than the concurrent PaCO2 by 6.00 mmHg,and the 95%limit of agreement(95%LoA)was±6.28 mmHg,both lower than that of sidestream by 8.24 mmHg and±7.41 mmHg.8.24 mmHg and±7.41 mmHg.The dispersion of sidestream PetCO2 monitoring values was greater,especially at high PaCO2 levels.Mainstream method PetCO2 had the highest correlation with PaCO2 in gynecologic patients(r=0.820,P<0.05),and sidestream method PetCO2 underestimated PaCO2 more markedly in gastrointestinal and hepato-biliary-pancreatic surgery patients.The deviation of oxygenation index≤300 mmHg was significantly greater than that of patients with oxygenation index>300 mmHg,and the tendency of underestimation was more significant at high PaCO2.31 healthcare experts evaluated that the mainstream PetCO2 monitoring method was outstanding in terms of accuracy and real-time,and that the sidestream method of PetCO2 monitoring was advantageous in terms of ease of operation and management of consumables.Conclusion:In patients who receive mechanical ventilation,the precision,accuracy and real-time of mainstream PetCO2 monitoring are better,which is suitable for patients with rapid changes in disease condition or patients at risk of hypercapnia.The sidestream method is suitable for non-intubated or transported patients,but it is easy to be underestimated at high PaCO2,and it needs to be corrected regularly in combination with arterial blood gas.The clinical application should rationally choose monitoring method after a comprehensive assessment based on the patient's disease condition,oxygenation status,and the scenario of use.