This paper discussed the differentiation and treatment of chemotherapy-induced nausea and vomiting （CINV） in traditional Chinese medicine， based on the theory of "yin qi descends， while all yang qi ascends” from Inner Canon of Yellow Emperor （《黄帝内经》）. The core pathogenesis of CINV is attributed to chemotherapy-induced injury to the middle jiao （焦）， resulting in the separation of yin and yang and loss of their mutual communication. Acute and explosive CINV is often characterized by "all yang qi ascends"， with stomach yang constraint transforming into fire， and qi counterflow leading to vomiting， which can be treated by unblocking stomach yang， draining fire and scattering the counterflow， with Huoxiang Zhengqi Powder （藿香正气散） and medicinals of clearing function. For delayed cases， which are often due to "yin qi descends"， and the accumulation of turbid yin obstructs and constrains the deficient yang， the treatment should focus on promoting qi flow to eliminate turbidity， unblocking and boosting yang qi， and Chengqi-series Formulas （承气类方） or Xiao Banxia Decoction （小半夏汤） can be considered. Refractory and anticipated cases usually involve stomach-kidney deficiency and zang-fu （脏腑） organs disharmony， making yin and yang difficult to restore balance， for which the treatment should focus on nourishing both the stomach and kidneys and harmonize the zang-fu organs， with formulas such as Fuzi Lizhong Decoction （附子理中汤） or Xiaoyao Powder （逍遥散） modified as appropriate.

OBJECTIVE: Cigarette smoking exacerbates the progression of pulmonary tuberculosis (TB). The role of tertiary lymphoid structures (TLS) in chronic lung diseases has gained attention; however, it remains unclear whether smoking-exacerbated lung damage in TB is associated with TLS. This study aimed to analyze the characteristics of pulmonary TLS in smokers with TB and to explore the possible role of TLS in smoking-related lung injury in TB. METHODS: Lung tissues from 36 male patients (18 smokers and 18 non-smokers) who underwent surgical resection for pulmonary TB were included in this study. Pathological and immunohistological analyses were conducted to evaluate the quantity of TLS, and chest computed tomography (CT) was used to assess the severity of lung lesions. The correlation between the TLS quantity and TB lesion severity scores was analyzed. The immune cells and chemokines involved in TLS formation were also evaluated and compared between smokers and non-smokers. RESULTS: Smoker patients with TB had significantly higher TLS than non-smokers ( P < 0.001). The TLS quantity in both the lung parenchyma and peribronchial regions correlated with TB lesion severity on chest CT (parenchyma: r = 0.5767; peribronchial: r = 0.7373; both P < 0.001). Immunohistochemical analysis showed increased B cells, T cells, and C-X-C motif chemokine ligand 13 (CXCL13) expression in smoker patients with TB ( P < 0.001). CONCLUSION Smoker TB patients exhibited increased pulmonary TLS, which was associated with exacerbated lung lesions on chest CT, suggesting that cigarette smoking may exacerbate lung damage by promoting TLS formation.
Humans ; Male ; Tuberculosis, Pulmonary/immunology* ; Middle Aged ; Tertiary Lymphoid Structures/pathology* ; Adult ; Lung/pathology* ; Smoking/adverse effects* ; Smokers ; Aged ; Tomography, X-Ray Computed

Objective: To delineate the epidemiologic profile of rifampicin resistant pulmonary tuberculosis (RR-PTB) among students in Chongqing, so as to provide evidence for effectively controlling RR-PTB outbreaks in schools. Methods: Individual level surveillance records of 395 student RR-PTB cases reported from 2015 to 2024 were extracted from the China Information System for Disease Control and Prevention. The Joinpoint regression analysis was employed to quantify temporal trends in the registration rate of student RR-PTB cases, and the comparison of RR-PTB registration rates with different demographic characteristics and different regions was performed using Chi-square test. Results: From 2015 to 2024, a total of 395 student RR-PTB cases were identified, with the registration rate ranged from 0.07 per 100 000 to 1.47 per 100 000, showed a fluctuating upward trend ( AAPC= 35.22%, t =4.13, P <0.01). A turning point was detected in 2017, rates rose during 2015-2017 (APC=295.23%， t =4.62， P < 0.01 ) and plateaued thereafter (APC=-0.47%， t =-0.12， P =0.91). The proportion of RR-PTB cases occurring among students increased both among all RR-PTB cases (1.54% in 2015, 7.48% in 2024) and all student pulmonary tuberculosis cases (0.20% in 2015, 7.17% in 2024), with significant linear trends ( χ 2 trend =33.55,159.98, both P <0.01). The majority of cases were enrolled in senior high school (50.38%), classified as retreatment (53.92%), of Han ethnicity (75.95%), and diagnosed with multidrug resistant tuberculosis(53.16%). There were significant differences in the composition of different ethnicity, registration category and resistance pattern between different years( χ 2=23.47, 17.23, 59.64，all P <0.05). The South-Eastern Wuling Mountainous Region exhibited the highest notification rate (3.96 per 100 000), whereas the western region had the lowest rate ( 0.47 per 100 000). County level jurisdictions reported higher rates than district level ones (2.16 per 100 000 vs 0.63 per 100 000 ). Statistically significant differences were observed in the RR-PTB reported rates among students across different districts and counties( χ 2=418.05,167.05,both P <0.01). Conclusions From 2015 to 2024, the registration rate of detected student RR-PTB cases in Chongqing showed an increasing trend. Students have become one of the key populations for drug resistant TB prevention and control. Intensified health education and active case finding should be implemented to enhance proactive surveillance capabilities.

Researchers commonly use cyclization recombination enzyme/locus of X-over P1 (Cre/loxP) technology-based conditional gene knockouts of model mice to investigate the functional roles of genes of interest in Sertoli and Leydig cells within the testis. However, the shortcomings of these genetic tools include high costs, lengthy experimental periods, and limited accessibility for researchers. Therefore, exploring alternative gene silencing techniques is of great practical value. In this study, we employed adeno-associated virus (AAV) as a vector for gene silencing in Sertoli and Leydig cells. Our findings demonstrated that AAV serotypes 1, 8, and 9 exhibited high infection efficiency in both types of testis cells. Importantly, we discovered that all three AAV serotypes exhibited exquisite specificity in targeting Sertoli cells via tubular injection while demonstrating remarkable selectivity in targeting Leydig cells via interstitial injection. We achieved cell-specific knockouts of the steroidogenic acute regulatory ( Star ) and luteinizing hormone/human chorionic gonadotropin receptor (Lhcgr) genes in Leydig cells, but not in Sertoli cells, using AAV9-single guide RNA (sgRNA)-mediated gene editing in Rosa26-LSL-Cas9 mice. Knockdown of androgen receptor ( Ar ) gene expression in Sertoli cells of wild-type mice was achieved via tubular injection of AAV9-short hairpin RNA (shRNA)-mediated targeting. Our findings offer technical approaches for investigating gene function in Sertoli and Leydig cells through AAV9-mediated gene silencing.
Animals ; Male ; Leydig Cells/metabolism* ; Mice ; Dependovirus/genetics* ; Sertoli Cells/metabolism* ; Gene Silencing ; Genetic Vectors ; Testis/cytology*

ObjectiveTomatoes are one of the highest-yielding and most widely cultivated economic crops globally, playing a crucial role in agricultural production and providing significant economic benefits to farmers and related industries. However, early blight in tomatoes is known for its rapid infection, widespread transmission, and severe destructiveness, which significantly impacts both the yield and quality of tomatoes, leading to substantial economic losses for farmers. Therefore, accurately identifying early symptoms of tomato early blight is essential for the scientific prevention and control of this disease. Additionally, visualizing affected areas can provide precise guidance for farmers, effectively reducing economic losses. This study combines hyperspectral imaging technology with machine learning algorithms to develop a model for the early identification of symptoms of tomato early blight, facilitating early detection of the disease and visual localization of affected areas. MethodsTo address noise interference present in hyperspectral images, robust principal component analysis (RPCA) is employed for effective denoising, enhancing the accuracy of subsequent analyses. To avoid insufficient information representation caused by the subjective selection of regions of interest, the Otsu’s thresholding method is utilized to extract tomato leaves effectively from the background, with the average spectrum of the entire leaf taken as the primary object of study. Furthermore, a comprehensive spectral preprocessing workflow is established by integrating multivariate scatter correction (MSC) and standardization methods, ensuring the reliability and effectiveness of the data. Based on the processed spectral data, a discriminant model utilizing a linear kernel function support vector machine (SVM) is constructed, focusing on characteristic wavelengths to improve the model's discriminative capability. ResultsCompared to full-spectrum modeling, this approach results in an 8.33% increase in accuracy on the test set. After optimizing the parameters of the SVM model, when C=1.64, the accuracies of the training set and test set reach 91.67% and 94.44%, respectively, demonstrating a 1.19% increase in training set accuracy compared to the unoptimized model, while maintaining the same accuracy on the test set, effectively alleviating issues of underfitting. ConclusionThis study successfully establishes an early discriminant model for tomato early blight using hyperspectral imaging and achieves visualization of early symptoms. Experimental results indicate that the SVM discriminant model based on characteristic wavelengths and a linear kernel function can effectively identify early symptoms of tomato early blight. Visualization of these symptoms in terms of disease probability allows for a more intuitive detection of early diseases and timely implementation of corresponding control measures. This visual analysis not only enhances the efficiency of disease identification but also provides farmers with more straightforward and practical information, aiding them in formulating more reasonable prevention strategies. These research findings provide valuable references for the early identification and visualization of plant diseases, holding significant practical implications for monitoring, identifying, and scientifically preventing crop diseases. Future research could further explore how to apply this model to disease detection in other crops and how to integrate IoT technology to create intelligent disease monitoring systems, enhancing the scientific and efficient management of crops.

As a third major discipline on par with internal medicine and surgery,interventional radiology is one of the key branches of modern medicine.The unique practicality and innovation of interventional radiology make it play an irreplaceable role in the diagnosis and treatment of diseases.In recent years,with the rapid development of technology and the updating of educational concepts,the teaching mode of interventional radiology is facing new challenges and opportunities.This article combines the clinical training methods adopted by interventional physicians in Europe and Germany,integrates imaging,anatomy and pathology teaching,strengthens the foundation,uses virtual reality(VR),augmented reality(AR)technology,and simulation training to enhance the practical ability of medical students.At the same time,with the help of online education platforms,the innovative methods and optimization strategies such as personalized learning program are implemented,which can greatly improve the teaching effectiveness of interventional radiology and provide useful references for teaching reform in this field.

BACKGROUND:The relationship between rheumatoid arthritis and coronary atherosclerosis has received extensive attention.Inflammation is related to rheumatoid arthritis and coronary atherosclerosis,indicating that there may be a common pathophysiological pathway between the two diseases.However,observational studies have not yet clarified the causal relationship.OBJECTIVE:To explore whether there is a causal relationship between rheumatoid arthritis and coronary atherosclerosis,as well as the potential causal relationship with 1 400 serum metabolites and 91 inflammatory factors through a Mendelian randomization analysis.METHODS:Coronary atherosclerosis data are from Finngen database,rheumatoid arthritis data are from IEU OpenGWAS database,serum metabolites data are from Canadian Longitudinal Study on Aging,Augsburg Cooperative Health Research and British Twin Project Research,and data of 91 inflammatory proteins are from research published in Nature Immunology in 2023.Mendelian randomization analysis was performed using data from genome-wide association studies,and causal effects were evaluated using inverse variance weighting,MR-Egger regression,weighted median,weighted model,and simple model methods,with inverse variance weighting being the primary analysis method.To enhance robustness,Cochran's Q-test MR-Egger intercept was used for sensitivity analysis.RESULTS AND CONCLUSION:(1)Inverse variance weighting results showed that rheumatoid arthritis was positively correlated with the increased relative risk of coronary atherosclerosis(odds ratio=1.002,95％confidence interval=1.001-1.003,P=0.003).There was no reverse causal relationship between coronary atherosclerosis and rheumatoid arthritis.In addition,96 serum metabolites and 9 inflammatory factors were found to have causal relationships with coronary atherosclerosis.There was a causal relationship between 51 serum metabolites and 7 inflammatory factors and rheumatoid arthritis.(2)This study provided epidemiological evidence between rheumatoid arthritis and coronary atherosclerosis,and emphasized the potential role of serum metabolites and inflammatory factors in the pathogenesis of these diseases.These findings may contribute to the development of new treatment strategies.Due to the limited inclusion of data from Asian populations,most contemporary studies used international databases and European population analyses.By collecting and analyzing the health data of European populations,it is conducive to a better understanding of the effects and potential role of Chinese medicine in Europe,and to further promote the practice of modern integration of Western and Chinese medicine.Meanwhile,through the comparative study with the European databases,it is possible to reveal the genetic differences and susceptibility to diseases among different populations,providing more dimensions and perspectives for global health research.

Objective To evaluate the service efficiency of nursing homes in China from a medical care integration per-spective and analyze influencing factors.Methods The three-stage Data Envelopment Analysis(DEA)model was applied to e-liminate the influence of environmental factors to analyze the efficiency of nursing homes in various provinces in China.Addition-ally,a Tobit model was used to examine the determinants of efficiency.Results During the research period,the traditional DEA model overestimated the comprehensive efficiency and scale efficiency of nursing homes in 31 provinces,municipalities,and au-tonomous regions in China,and underestimated the pure technical efficiency.Environmental factors such as per capita GDP,the elderly dependency ratio,and the proportion of urban population impacted the input variables to significantly different extents,with a comprehensive efficiency score of 0.785,a pure technical efficiency score of 0.870,and a scale efficiency score of 0.901.Key influencing factors of the service efficiency of elderly care institutions included basic elderly care facilities,regional popula-tion size,residents'consumption capacity,degree of disability of the care recipients,quality of human resources,and capacity of medical services.Conclusion After eliminating the influence of environmental factors through the three-stage DEA,the efficien-cy evaluation is more accurate.The service efficiency of nursing homes varies across different regions in China:the eastern region exhibits the highest efficiency,followed by the central region and the western region.

Objective:To assess the relationship between basophil levels and mortality in patients with intra-abdominal infection.Methods:Information on patients with intraperitoneal infection admitted to the intensive care unit were extracted from the MIMIC database.A time-dependent Cox regression model was used to adjust for confounders associated with 28-day mortality.Propensity score matching(PSM)was used to balance the baseline differences be-tween groups with different basophil levels,and a restricted cube chart(RCS)was used to show the relationship between basophil count and 28-day mortality in patients with intra-abdominal infection.Results:A total of 4403 patients with intra-abdominal infection were enrolled in the MIMIC database.Patients with high basophil levels have lower mortality than those with low basophil levels.There was an L-shaped curve between basophil level and 28-day mortality,with a cut-off value of 0.47×109/L.Cox regression analysis showed that basophil levels were an independent protective factor for mortal-ity in patients with intra-abdominal infection after adjusting for potential confounders(HR=0.586,95%CI:0.443-0.769).Protective factors for death at basophil levels remained after PSM adjusted for potential confounders(HR=0.628,95%CI:0.470-0.832).Conclusion:Basophil level is an independent protective factor for mortality in patients with intra-abdominal infection,and basophil levels should be dynamically monitored to better evaluate the prognosis of patients.

Body weight abnormalities, including overweight, obesity, and underweight, have become a dual public health challenge in Chinese adults: overweight and obesity lead to a variety of chronic complications, while underweight increases the risks of malnutrition, sarcopenia, and organ dysfunction. To systematically address these issues, multidisciplinary experts in endocrinology, sports science, nutrition, and psychiatry from various regions have held multiple weight management seminars. Based on the latest epidemiological data and clinical evidence, they expanded the guideline to include assessment and intervention strategies for underweight, in addition to the core content of obesity management. This guideline outlines the etiological mechanisms, evaluation methods, and multidimensional management strategies for overweight and obesity, covering key areas such as diagnosis and assessment, medical nutrition therapy, exercise prescription, pharmacological intervention, and psychological support. It is intended to provide a scientific and standardized approach to weight management across the adult population, aiming to curb the rising prevalence of obesity, mitigate complications associated with abnormal body weight, and improve nutritional status and overall quality of life.