Objective:The purpose of this study was to analyze the epidemiological characteristics of hand, foot, and mouth disease (HFMD) among individuals aged 6 years and above in Guangzhou from 2010 to 2023, with the intention that a scientific basis be provided for effective prevention and control measures in older age groups.Methods:Data on HFMD incidence among individuals aged 6 years and above in Guangzhou from 2010 to 2023 were collected and analyzed. Descriptive epidemiological methods were used to analyze the distributions and pathogen components of HFMD cases in Guangzhou residents aged 6 years and above. Spatial autocorrelation analysis and Getis-Ord Gi* analysis were conducted to identify the spatial clustering patterns of HFMD at the street town level. Results:From 2010 to 2023, the gender ratio of HFMD cases in persons aged 6 and above was 1.49∶1 in Guangzhou. The average annual incidence rate of HFMD among individuals aged 6 years and above in Guangzhou was 25.75 per 100 000. Furthermore, the reported incidence rate indicated an increased tendency. The annual incidence showed a bimodal distribution, with the main peak occurring from May to July and the secondary peak from September to October. HFMD incidence rates vary by townships, with hotspots clustered in urban and urban-rural regions. The dominant pathogen shifts from year to year. Enterovirus 71 (EV71) was the prevalent strain in 2010, followed by other enteroviruses and Coxsackievirus (CV)-A16 from 2011 to 2016. Since 2017, CV-A6 has steadily become the major pathogen.Conclusions:The incidence of HFMD cases among individuals aged 6 years and above in Guangzhou increased generally from 2010 to 2023, with hotspots localized in urban and urban-rural areas. The pathogen composition altered dramatically, with the proportion of EV71 dropping overall, while CV-A6 eventually became the dominating strain. Therefore, it is imperative to focus on the prevention and control of HFMD in this age group, especially by strengthening measures in areas with high prevalence.

Objective: Data on syncopal donation-related vasovagal reaction (DRVR) collected from 74 blood centers between 2020 and 2023 was statistically analyzed to provide a reference for developing preventive strategies against syncopal DRVR. Methods: Data on blood donation adverse reactions and basic information of donors from 2020 to 2023 were collected through the information management system at monitoring sentinel sites. Statistical analysis was performed on the following aspects of syncopal DRVR: characteristics of donors who experienced syncope, reported incidence, triggers, duration, presence and occurrence time of syncope-related trauma, clinical management including outpatient and inpatient treatment, and severity grading. Results: From 2020 to 2023, 45 966 donation-related adverse reactions were recorded. Of these, 1 665 (3.72%) cases were syncopal DRVR. The incidence of syncopal DRVR decreased with age, being the highest in the 18-22 age group. Incidence was significantly higher in female donors than male donors, in first-time donors than repeat donors, and in university and individual donors than group donors (all P<0.05). There was no statistically significant difference among different blood donation locations (P>0.05). The top three triggers were tension, fatigue, and needle phobia or fear of blood. Among syncopal DRVR cases, 60.36% occurred during blood collection, 87.63% lasted for less than 60 seconds, and 5.05% were accompanied by trauma. Notably, 57.14% of these traumas occurred after donor had left the blood collection site. Syncope severity was graded based on required treatment: grade 1 (fully recovered without treatment, 95.50%); grade 2 (recovered after outpatient treatment, 4.02%); and grade 3 (recovered after inpatient treatment, 0.48%). Conclusion: By analyzing the data of syncopal DRVR cases, it is possible to provide a reference for formulating blood donor safety policies.

This study aims to investigate the therapeutic effects of the Coptidis Rhizoma-Scutellariae Radix on cytokine storm secondary lung injury(CSSLI) induced by CpG1826 in mice, and to elucidate the potential molecular mechanisms by which its major active components, i.e., coptisine and wogonin, alleviate CSSLI by inhibiting the mitochondrial permeability transition pore(mPTP)/nucleotide-binding oligomerization domain-like receptor protein 3(NLRP3) inflammasome pyroptosis pathway. In vivo, a mouse model of CSSLI was established by CpG1826 induction. Pulmonary edema was assessed by lung wet-to-dry weight ratio(W/D), lung injury was evaluated by hematoxylin-eosin(HE) staining, and ultrastructural changes in lung tissue were observed by transmission electron microscopy(TEM). The levels of interleukin(IL)-1β, high mobility group box 1 protein(HMGB1), IL-18, and IL-1α in bronchoalveolar lavage fluid were measured by enzyme-linked immunosorbent assay(ELISA). The results showed that the decoction of the Coptidis Rhizoma-Scutellariae Radix significantly reduced pulmonary edema, alleviated lung injury, and decreased the concentrations of related cytokines in BALF more effectively than either single herb alone, thereby improving CSSLI. In vitro, a CpG1826-induced CSSLI model was established in mouse alveolar macrophage MH-S cells. Calcein-AM quenching was used to screen for the most effective monomer components from the herb pair in inhibiting mPTP opening. Coptisine(5, 10, 20 μmol·L~(-1)) and wogonin(10, 20, 40 μmol·L~(-1)) markedly inhibited mPTP opening, with optimal effects and a clear dose-dependent pattern. These components suppressed mPTP opening, thereby reducing the release of mitochondrial DNA(mtDNA) and the accumulation of reactive oxygen species(ROS), effectively reversing the CpG1826-induced decrease in mitochondrial membrane potential(MMP). Further studies revealed that both coptisine and wogonin inhibited pyroptosis and downregulated the expression of key proteins in the NLRP3/Caspase-1/gasdermin D(GSDMD) pathway. In conclusion, the Coptidis Rhizoma-Scutellariae Radix improves CpG1826-induced CSSLI in mice, and this effect is associated with the inhibition of the mPTP/NLRP3 pyroptosis pathway, providing scientific evidence for its clinical application and further development.
Animals ; Mice ; Drugs, Chinese Herbal/administration & dosage* ; Pyroptosis/drug effects* ; NLR Family, Pyrin Domain-Containing 3 Protein/immunology* ; Male ; Lung Injury/immunology* ; Cytokines/immunology* ; Scutellaria baicalensis/chemistry* ; Oligodeoxyribonucleotides/adverse effects* ; Mice, Inbred C57BL ; Coptis chinensis

Objective:The purpose of this study was to analyze the epidemiological characteristics of hand, foot, and mouth disease (HFMD) among individuals aged 6 years and above in Guangzhou from 2010 to 2023, with the intention that a scientific basis be provided for effective prevention and control measures in older age groups.Methods:Data on HFMD incidence among individuals aged 6 years and above in Guangzhou from 2010 to 2023 were collected and analyzed. Descriptive epidemiological methods were used to analyze the distributions and pathogen components of HFMD cases in Guangzhou residents aged 6 years and above. Spatial autocorrelation analysis and Getis-Ord Gi* analysis were conducted to identify the spatial clustering patterns of HFMD at the street town level. Results:From 2010 to 2023, the gender ratio of HFMD cases in persons aged 6 and above was 1.49∶1 in Guangzhou. The average annual incidence rate of HFMD among individuals aged 6 years and above in Guangzhou was 25.75 per 100 000. Furthermore, the reported incidence rate indicated an increased tendency. The annual incidence showed a bimodal distribution, with the main peak occurring from May to July and the secondary peak from September to October. HFMD incidence rates vary by townships, with hotspots clustered in urban and urban-rural regions. The dominant pathogen shifts from year to year. Enterovirus 71 (EV71) was the prevalent strain in 2010, followed by other enteroviruses and Coxsackievirus (CV)-A16 from 2011 to 2016. Since 2017, CV-A6 has steadily become the major pathogen.Conclusions:The incidence of HFMD cases among individuals aged 6 years and above in Guangzhou increased generally from 2010 to 2023, with hotspots localized in urban and urban-rural areas. The pathogen composition altered dramatically, with the proportion of EV71 dropping overall, while CV-A6 eventually became the dominating strain. Therefore, it is imperative to focus on the prevention and control of HFMD in this age group, especially by strengthening measures in areas with high prevalence.

Objective To investigate the current situation and influencing factors of latent tuberculosis infection(LTBI)among close contacts of positive etiology pulmonary tuberculosis(PTB)patients,provide basis for formula-ting intervention measures for LTBI.Methods A multi-stage stratified cluster random sampling method was used to select close contacts of positive etiology PTB patients from 39 districts and counties in Chongqing City as the study objects.Demographic information was collected by questionnaire survey and the infection of Mycobacterium tuberculosis was detected by interferon gamma release assay(IGRA).The influencing factors of LTBI were analyzed by x2 test and binary logistic regression model.Results A total of 2 591 close contacts were included,the male to female ratio was 0.69∶1,with the mean age of(35.72±16.64)years.1 058 cases of LTBI were detected,Myco-bacterium tuberculosis latent infection rate was 40.83％.Univariate analysis showed that the infection rate was dif-ferent among peoples of different age,body mass index(BMI),occupation,education level,marital status,wheth-er they had chronic disease or major surgery history,whether they lived together with the indicator case,and whether the cumulative contact time with the indicator case ≥250 hours,difference were all statistically significant(all P＜0.05);infection rate presented increased trend with the increase of age and BMI(both P＜0.001),and decreased trend with the increase of education(P＜0.05).Logistic regression analysis showed that age 45-54 years old(OR=1.951,95％CI:1.031-3.693),age 55-64 years old(OR=2.473,95％CI:1.279-4.781),other occupations(OR=0.530,95％CI:0.292-0.964),teachers(OR=0.439,95％CI:0.242-0.794),students(OR=0.445,95％CI:0.233-0.851),junior high school education or below(OR=1.412,95％CI:1.025-1.944),BMI＜18.5 kg/m2(OR=0.762,95％CI:0.586-0.991),co-living with indicator cases(OR=1.621,95％CI1.316-1.997)and cumu-lative contact time with indicator cases ≥250 hours(OR=1.292,95％CI:1.083-1.540)were the influential fac-tors for LTBI(all P＜0.05).Conclusion The close contacts with positive etiology PTB have a high latent infection rate of Mycobacterium tuberculosis,and it is necessary to pay attention to close contacts of high age,farmers,and frequent contact with patients,and take timely targeted interventions to reduce the risk of occurrence of disease.

Gastric cancer(GC)is one of the most common malignancies worldwide.In our country,the majority of patients are diagnosed with GC at alocally advanced stage.Fortunately,clinical studies have demonstrated that minimally invasive radical gastrectomy,particularly laparoscopic surgery,is just as effective as traditional open surgery in terms of both short-and long-term outcomes.Consequently,minim-ally invasive surgery has become the primary surgical approach for patients with locally advanced gastric cancer(LAGC).Advancements in surgical techniques and technologies are enabling even more precise and minimally invasive approaches to GC surgery.Based on recent do-mestic and international studies,this study aimed to review and elaborate on the development of minimally invasive surgery for LAGC.

In recent years, with the increasing societal focus on drug quality and safety, quality issues have become a major challenge faced by the pharmaceutical industry, directly impacting consumer health and market trust. By combining multispectral imaging technology with machine learning, it is possible to achieve rapid, non-destructive, and precise detection of traditional Chinese medicine(TCM) preparations, thereby revolutionizing traditional detection methods and developing more convenient and automated solutions. This paper provides a comprehensive review of the current applications of rapid, non-destructive detection techniques based on machine learning algorithms in the field of TCM preparations. It analyzed the principles and advantages of commonly used rapid, non-destructive detection techniques, offering a reference for the application and promotion of these technologies in TCM preparation detection. Additionally, this paper explored various data preprocessing techniques, operational processes, and machine learning algorithms to enhance data utilization efficiency. Finally, it focused on the challenges of applying machine learning in TCM preparation detection and offered corresponding recommendations, providing guidance for the future integration of machine learning with rapid, non-destructive detection techniques in practical production.
Machine Learning ; Drugs, Chinese Herbal/analysis* ; Medicine, Chinese Traditional/methods* ; Humans ; Quality Control

The construction method and simulation parameter settings for the discrete element model of Jianwei Xiaoshi Granules, as the primary material of Jianwei Xiaoshi Tablets, are not yet clear. The accuracy of the simulation model significantly influences the dynamic response characteristics between granules. Therefore, it is necessary to calibrate the parameters to improve the accuracy of the simulation parameters. Using the repose angle of Jianwei Xiaoshi Granules as the response value, the response surface methodology was employed to optimize and calibrate the discrete element parameters. Physical experiments were conducted to determine the physical properties of Jianwei Xiaoshi Granules. Based on the Hertz-Mindlin with Johnson-Kendall-Roberts(JKR) V2 model and virtual simulation methods, a repose angle determination model was constructed in EDEM software. The repose angle was measured using image analysis and numerical fitting methods. The Plackett-Burman experiment was used to screen the initial parameters for significance in the discrete element simulation. The significant parameters were then subjected to a steepest ascent experiment to determine the optimal parameter range. Furthermore, based on the Box-Behnken experiment, a second-order regression equation between significant parameters and repose angle was established, with the repose angle of 37.64° in the physical experiment as the target value. The regression equation was optimized and solved. The significance screening experiment revealed that the granule-granule static friction coefficient, granule-granule rolling friction, and granule-steel plate rolling friction of Jianwei Xiaoshi Granules significantly influenced the simulated repose angle. The optimal parameter combination was found to be 0.330, 0.222, and 0.229. The simulation results with this optimal parameter combination showed that there was no significant difference between the simulated repose angle and the repose angle obtained in the physical experiment, with a relative error of 0.05%, which further validated the reliability of the calibrated discrete element parameters for Jianwei Xiaoshi Granules.
Drugs, Chinese Herbal/chemistry* ; Calibration ; Computer Simulation

Identification of critical material attributes(CMAs) is a key issue in the quality control of large-scale TCM products like Jianwei Xiaoshi Tablets. This study focuses on the granules of Jianwei Xiaoshi Tablets, using tablet tensile strength as the primary quality attribute. A method for identifying the CMAs and a design space for the granules were established, along with a predictive model for the granule CMAs based on Fourier transform near-infrared spectroscopy(FT-NIR). First, granules of Jianwei Xiaoshi Tablets with different properties were prepared using a partial factorial design method from the design of experiments(DOE). The powder properties of the granules were measured. An orthogonal partial least squares(OPLS) model was established to correlate the powder properties with tensile strength. Based on the characteristics of the comprehensive variables extracted by OPLS, the independent variables with the greatest explanatory power for tensile strength were identified. FT-NIR technology was then employed to establish a predictive model for the granule CMAs. The final CMAs identified were hygroscopicity, moisture content, D_(50), collapse angle, mass flow rate, and tapped density. The coefficients of determination of the prediction set(R■) and relative percentage deviation(RPD) of the prediction set for flowability, D_(50), and moisture content were 0.891, 0.994, and 0.998; and 2.97, 12.4, and 20.7, respectively. The established OPLS model clearly identified the impact of various factors on tensile strength, demonstrating good fit results. The model exhibited high prediction accuracy and can be used for the rapid and accurate determination of CMAs in granules of Jianwei Xiaoshi Tablets.
Drugs, Chinese Herbal/chemistry* ; Tablets/chemistry* ; Tensile Strength ; Quality Control ; Spectroscopy, Fourier Transform Infrared ; Spectroscopy, Near-Infrared