ObjectiveTo investigate the effects of Astragali Radix polysaccharides （APS） on the polarization of BV2 microglial cells in an oxygen-glucose deprivation/reoxygenation （OGD/R） model through regulation of the Toll-like receptor 4 （TLR4）/nuclear factor-κB （NF-κB） signaling pathway. MethodsThe OGD/R injury model of BV2 microglia was established and divided into blank group， OGD/R group and APS group （0.4 g·L^-1 APS）. Neuroinflammatory injury was induced by lipopolysaccharide （LPS） and treated with APS. The cells were divided into blank group， LPS group （1 mg·L^-1 LPS） and APS group （0.4 g·L^-1 APS+1 mg·L^-1 LPS）. Cell viability was detected using the cell counting kit-8 （CCK-8） assay. Cell morphology was observed under an inverted microscope. Nitric oxide （NO） content in the cell supernatant was determined by the Griess assay. The secretion levels of tumor necrosis factor-α （TNF-α）， interleukin （IL）-6， IL-10， and IL-4 were measured by enzyme-linked immunosorbent assay （ELISA）. Immunofluorescence （IF） was used to detect the double-positive rates of ionized calcium-binding adapter molecule-1/inducible nitric oxide synthase （Iba-1⁺/iNOS⁺） and ionized calcium-binding adapter molecule-1/arginase 1 （Iba-1⁺/Arg1⁺）， as well as the nuclear translocation rate of nuclear factor-κB p65 （NF-κB p65）. Protein expression levels of Iba-1， iNOS， Arg1， TLR4， and NF-κB p65 were detected by Western blot. ResultsIn the OGD/R injury model， compared with the blank control group， BV2 microglial cells in the OGD/R group were activated and exhibited amoeboid morphological changes. The secretion levels of NO， TNF-α， and IL-6 were significantly increased （P<0.01）. The double-positive expression rate of Iba-1⁺/iNOS⁺ and the protein expression of Iba-1 and iNOS were significantly increased （P<0.01）. The nuclear translocation rate of NF-κB p65 and the protein expression levels of TLR4 and NF-κB p65 were significantly increased （P<0.01）. The levels of IL-10 and IL-4 were significantly decreased （P<0.01）， and the double-positive expression rate of Iba-1⁺/Arg1⁺ and Arg1 protein expression were significantly decreased （P<0.01）. Compared with the OGD/R group， the APS group （0.4 g·L^-1） showed reduced cell activation， significantly decreased secretion levels of NO， TNF-α， and IL-6 （P<0.01）， significantly decreased double-positive expression rate of Iba-1⁺/iNOS⁺ and relative protein expression of Iba-1 and iNOS （P<0.01）， significantly decreased nuclear translocation rate of NF-κB p65 and protein expression levels of TLR4 and NF-κB p65 （P<0.01）， significantly increased levels of IL-10 and IL-4 （P<0.01）， and significantly increased double-positive expression rate of Iba-1⁺/Arg1⁺ and Arg1 protein expression （P<0.01）. In the LPS-induced neuroinflammation model， compared with the blank control group， the LPS group showed increased cell activation， significantly increased levels of NO， TNF-α， and IL-6， significantly increased Iba-1⁺/iNOS⁺ double-positive expression rate， NF-κB p65 nuclear translocation rate， and protein expression levels of Iba-1， iNOS， TLR4， and NF-κB p65 （P<0.01）， while IL-10 and IL-4 levels， Iba-1⁺/Arg1⁺ double-positive expression rate， and Arg1 protein expression were significantly decreased （P<0.01）. Compared with the LPS group， the APS group showed reduced cell activation， significantly decreased levels of NO， TNF-α， and IL-6， Iba-1⁺/iNOS⁺ double-positive expression rate， NF-κB p65 nuclear translocation rate， and protein expression levels of Iba-1， iNOS， TLR4， and NF-κB p65 （P<0.01）， while IL-10 and IL-4 levels， Iba-1⁺/Arg1⁺ double-positive expression rate， and Arg1 protein expression were significantly increased （P<0.01）. ConclusionAPS may reduce microglial activation and promote their polarization toward the M2 phenotype by inhibiting activation of the TLR4/NF-κB signaling pathway， thereby alleviating the neuroinflammatory response induced by OGD/R.

Objective:To investigate the feasibility of ultra-low dose (ULD) CT pulmonary angiography (CTPA) combined with deep learning reconstruction (DLR) in the diagnosis of pulmonary embolism (PE).Methods:This cross-sectional study prospectively enrolled 100 patients with suspected PE who underwent CTPA examination in Zhongshan Hospital Fudan University, and Shanghai Geriatric Medical Center from April to July 2024, and were randomly divided into the routine dose (RD) group and ULD group according to block randomization. Effective dose (ED) were calculated. The noise index of RD group and ULD group was set to 10 and 20, respectively. Other scanning parameters and contrast agent injection protocol were the same. The CT images of RD group were reconstructed using hybrid iterative reconstruction (HIR), while ULD images were reconstructed with HIR and DLR (ULD-HIR subgroup and ULD-DLR subgroup). The image quality of the three groups of images was subjectively evaluated (overall image noise, pulmonary artery display) and objectively evaluated [signal-to-noise ratio (SNR), contrast-to-noise ratio (CNR) of the images] respectively. Finally, the diagnostic results of PE by the expert committee composed of three chief physicians were taken as the gold standard, and one physician with lower qualifications independently evaluated the diagnostic rate of PE in the three groups of images. Objective image quality parameters across the three groups were compared using ANOVA, with LSD post hoc test was used for multiple comparisons. Subjective scores among the three groups were analyzed using the Kruskal-Wallis H test, with Bonferroni corrected pairwise post hoc test was applied for multiple pairwise comparisons. Results:The ED in the RD group and ULD group were (2.7±0.5) mSv and (0.7±0.2) mSv, respectively, and the differences were statistically significant ( t=26.42, P<0.001). The overall differences in CT values of pulmonary arteries at all levels in the images of the RD group, the ULD-HIR subgroup, and the ULD-DLR subgroup were not statistically significant ( P>0.05).The RD group, ULD-HIR subgroup and ULD-DLR subgroup overall differences in SNR and CNR at all levels pulmonary arteries were statistically significant ( P<0.001), in which except for the differences in CNR and SNR values of the left pulmonary arterial trunk in the RD group and the ULD-HIR subgroup, and SNR values of basal segment pulmonary artery of the lower lobe of the left lung, which were not statistically significant ( P>0.05), the differences of the rest of the indexes in the pairwise comparisons between the groups were statistically significant ( P<0.05). The overall differences in the subjective scores of image pulmonary vascular display and image noise in the RD group, ULD-HIR subgroup and ULD-DLR subgroup were statistically significant ( P<0.001), except that the differences in the subjective scores of image pulmonary vascular display in the ULD-DLR subgroup were not statistically significant when compared with that of the RD group ( P>0.05) and that of the rest of the metrics in the between-groups two-by-two comparisons were all statistically significant ( P<0.05). The difference in diagnostic rates of PE in the pulmonary artery trunk, lobe and segmental levels in the images of the RD group, ULD-HIR subgroup and ULD-DLR subgroup was not statistically significant ( P>0.05). Conclusions:DLR can significantly reduce the radiation dose of CTPA examination. Even at ultra-low radiation dose, its image quality is still better than HIR reconstruction at conventional doses and preserve diagnostic accuracy of PE at the lobe level and segment level.

Objective:To investigate the feasibility of ultra-low dose (ULD) CT pulmonary angiography (CTPA) combined with deep learning reconstruction (DLR) in the diagnosis of pulmonary embolism (PE).Methods:This cross-sectional study prospectively enrolled 100 patients with suspected PE who underwent CTPA examination in Zhongshan Hospital Fudan University, and Shanghai Geriatric Medical Center from April to July 2024, and were randomly divided into the routine dose (RD) group and ULD group according to block randomization. Effective dose (ED) were calculated. The noise index of RD group and ULD group was set to 10 and 20, respectively. Other scanning parameters and contrast agent injection protocol were the same. The CT images of RD group were reconstructed using hybrid iterative reconstruction (HIR), while ULD images were reconstructed with HIR and DLR (ULD-HIR subgroup and ULD-DLR subgroup). The image quality of the three groups of images was subjectively evaluated (overall image noise, pulmonary artery display) and objectively evaluated [signal-to-noise ratio (SNR), contrast-to-noise ratio (CNR) of the images] respectively. Finally, the diagnostic results of PE by the expert committee composed of three chief physicians were taken as the gold standard, and one physician with lower qualifications independently evaluated the diagnostic rate of PE in the three groups of images. Objective image quality parameters across the three groups were compared using ANOVA, with LSD post hoc test was used for multiple comparisons. Subjective scores among the three groups were analyzed using the Kruskal-Wallis H test, with Bonferroni corrected pairwise post hoc test was applied for multiple pairwise comparisons. Results:The ED in the RD group and ULD group were (2.7±0.5) mSv and (0.7±0.2) mSv, respectively, and the differences were statistically significant ( t=26.42, P<0.001). The overall differences in CT values of pulmonary arteries at all levels in the images of the RD group, the ULD-HIR subgroup, and the ULD-DLR subgroup were not statistically significant ( P>0.05).The RD group, ULD-HIR subgroup and ULD-DLR subgroup overall differences in SNR and CNR at all levels pulmonary arteries were statistically significant ( P<0.001), in which except for the differences in CNR and SNR values of the left pulmonary arterial trunk in the RD group and the ULD-HIR subgroup, and SNR values of basal segment pulmonary artery of the lower lobe of the left lung, which were not statistically significant ( P>0.05), the differences of the rest of the indexes in the pairwise comparisons between the groups were statistically significant ( P<0.05). The overall differences in the subjective scores of image pulmonary vascular display and image noise in the RD group, ULD-HIR subgroup and ULD-DLR subgroup were statistically significant ( P<0.001), except that the differences in the subjective scores of image pulmonary vascular display in the ULD-DLR subgroup were not statistically significant when compared with that of the RD group ( P>0.05) and that of the rest of the metrics in the between-groups two-by-two comparisons were all statistically significant ( P<0.05). The difference in diagnostic rates of PE in the pulmonary artery trunk, lobe and segmental levels in the images of the RD group, ULD-HIR subgroup and ULD-DLR subgroup was not statistically significant ( P>0.05). Conclusions:DLR can significantly reduce the radiation dose of CTPA examination. Even at ultra-low radiation dose, its image quality is still better than HIR reconstruction at conventional doses and preserve diagnostic accuracy of PE at the lobe level and segment level.

Objective:To construct a smart elderly education system that in line with the current situation under the Healthy China strategy and explore the constraints on its institutional implementation,in order to provide a basis for scientifically evaluating the implementation effect of this system.Methods:A questionnaire survey was conducted on 34 experts in related fields.The analytic hierarchy process(AHP)was used to perform quantitative and qualitative analyses on the construction of the smart elderly education system,and the weights of the importance of each scheme were obtained.Results:The constructed model of the smart elderly education system included 5 first-level indicators and 15 second-level indicators.Calculations of the judgment matrix for the 5 first-level indicators showed that the maximum eigenvalue(λmax)=5.071 4,the random consistency index(RI)=1.12,the consistency index(CI)=0.017 8,and the consistency ratio(CR)=0.015 9.With CR＜0.1,the result met the consistency requirement.For the second-level indicators under each first-level indicator,pairwise comparison judgment matrices were constructed.The CR values of all 5 judgment matrices were＜0.1.In summary,all judgment matrices passed the consistency test and were applicable.Among the first-level indicators,the top three by weights were guarantee mechanisms,demand orientation,and implementation effectiveness.Among the second-level indicators,the top three by combined weights were funding support capacity,health literacy improvement rate,and health demand identification mechanism.Conclusions:The indicator evaluation system for the smart elderly education system constructed based on AHP includes core dimensions such as guarantee mechanisms and demand orientation,responding to the key issues of institutional implementation.The selected indicators are both objective and practical,and can serve as reference tools for actual evaluation.

ObjectiveTo construct and validate a clinical prediction model for Qi deficiency and blood stasis syndrome in chronic heart failure （CHF），aiming to assist clinical diagnosis and provide tools and methods for individualized treatment of CHF. MethodsThe clinical data of patients with chronic heart failure treated at Dongzhimen Hospital of Beijing University of Chinese Medicine from January 2022 to January 2024 were retrospectively collected. The patients were randomly divided into a training group and a validation group with a ratio of 7∶3. First， the least absolute shrinkage and selection operator （LASSO） regression analysis was used to preliminarily screen the predictive factors affecting the diagnosis of Qi deficiency and blood stasis syndrome in CHF. Subsequently， the Logistic regression method was applied to conduct a more in-depth and detailed analysis of these factors. Variables with P<0.05 in the results of the multi-factor Logistic regression were carefully selected and included. Based on the regression coefficients obtained from this analysis， a model was constructed， and a nomogram was accurately drawn. Using R software，the receiver operating characteristic （ROC） curve，calibration curve，and decision curve analysis （DCA） were precisely drawn. These analyses were used to comprehensively evaluate the model from three crucial aspects： discrimination，calibration，and clinical applicability. Additionally， the accuracy，specificity，sensitivity，positive predictive value，and negative predictive value of the model were meticulously calculated to conduct a more all-round and comprehensive assessment. ResultsIn total， 168 cases were successfully obtained in the training group， and 71 cases were included in the validation group. After a thorough comparison， it was found that there were no statistically significant differences in the baseline data between the two groups. After being rigorously screened by the LASSO-multivariate logistic regression method， dark red tongue，smoking history，cardiac troponin I，and N-terminal pro-B-type natriuretic peptide （NT-ProBNP） were identified as the influencing factors for diagnosing patients with the Qi deficiency and blood stasis syndrome in CHF. The constructed model demonstrated an area under the curve （AUC） of 0.812 in the training group and 0.719 in the validation group. The calibration curve showed that the predicted curve of the model was close to the actual observed curve. DCA indicated that the model could provide substantial clinical benefits for patients at the decision thresholds ranging from 0.2 to 0.9. ConclusionThe clinical prediction model for Qi deficiency and blood stasis syndrome in chronic heart failure constructed in this study shows good performance. It has certain application value in clinical practice， which may contribute to the improvement of the diagnosis and treatment of CHF patients with this syndrome.

Objective:To construct a smart elderly education system that in line with the current situation under the Healthy China strategy and explore the constraints on its institutional implementation,in order to provide a basis for scientifically evaluating the implementation effect of this system.Methods:A questionnaire survey was conducted on 34 experts in related fields.The analytic hierarchy process(AHP)was used to perform quantitative and qualitative analyses on the construction of the smart elderly education system,and the weights of the importance of each scheme were obtained.Results:The constructed model of the smart elderly education system included 5 first-level indicators and 15 second-level indicators.Calculations of the judgment matrix for the 5 first-level indicators showed that the maximum eigenvalue(λmax)=5.071 4,the random consistency index(RI)=1.12,the consistency index(CI)=0.017 8,and the consistency ratio(CR)=0.015 9.With CR＜0.1,the result met the consistency requirement.For the second-level indicators under each first-level indicator,pairwise comparison judgment matrices were constructed.The CR values of all 5 judgment matrices were＜0.1.In summary,all judgment matrices passed the consistency test and were applicable.Among the first-level indicators,the top three by weights were guarantee mechanisms,demand orientation,and implementation effectiveness.Among the second-level indicators,the top three by combined weights were funding support capacity,health literacy improvement rate,and health demand identification mechanism.Conclusions:The indicator evaluation system for the smart elderly education system constructed based on AHP includes core dimensions such as guarantee mechanisms and demand orientation,responding to the key issues of institutional implementation.The selected indicators are both objective and practical,and can serve as reference tools for actual evaluation.

OBJECTIVE To investigate the current situation of pharmaceutical management in compact medical consortium of Guangdong province， and to provide decision-making basis for promoting the high-quality construction and sustainable development of the provincial medical consortium. METHODS A self-designed questionnaire was used to select 50 compact medical consortiums in Guangdong province. The survey was answered by the heads of the pharmacy department of the general hospitals. The survey covered the basic scale of the consortium， the appointment of chief pharmacists， the implementation of pharmaceutical management and pharmaceutical care homogenization within the consortium， the difficulties in promoting the homogenization， and the expected provincial support. Descriptive statistical analysis was performed on the survey results. RESULTS A total of 50 questionnaires were collected， and the effective recovery rate was 100%. There were 16 chief pharmacists （32.00%） in charge of the pharmacy department of the general hospital in the medical consortium. Thirty-seven medical consortiums （74.00%） had established a drug supply support system within the consortium， 35 medical consortiums （70.00%） had carried out pharmaceutical management and coordination work within the medical consortium， 23 medical consortiums （46.00%） had established a clinical medication guidance system， 25 medical consortiums chenwenying2016@163.com （50.00%） had established a bidirectional communication mechanism， and only 8 medical consortiums （16.00%） had developed new models of pharmaceutical care. At present， the difficulties in promoting the homogenization of pharmaceutical management and pharmaceutical care within the medical consortium were mainly found in three aspects： the wide gap in management level of each member unit， the lack and uneven level of pharmaceutical personnel， and insufficient policy support and implementation. Most medical consortiums hoped that relevant departments could promote the homogenization of pharmaceutical work by holding special training courses or special supervision. CONCLUSIONS At present， the compact medical consortium in Guangdong province has achieved initial results in the implementation of the chief pharmacist system， the homogenization of pharmaceutical management and pharmaceutical care. However， it is still necessary to improve the coverage of chief pharmacist appointments in the medical consortium， implement the homogenization of pharmaceutical management， and accelerate the homogenization process of pharmaceutical care.

Abstract: Objective　To analyze the clinical characteristics of children with lobar pneumonia and the distribution of pathogens in bronchoalveolar lavage fluid (BALF) collected from these patients, hence providing a scientific basis for their precise diagnosis and treatment. Methods　A total of 115 children diagnosed with lobar pneumonia from August 2019 to August 2022 at Suining Central Hospital were screened as the research subjects. The clinical manifestations and occurrence of complications in the patients were investigated. All the children underwent bronchoalveolar lavage after admission, and BALF samples were collected. Fluorescence quantitative PCR was adopted to detect and analyze the distribution and clinical characteristics of Streptococcus pneumoniae (SP) and other related pathogenic microorganisms in BALF specimens. Results Among the 115 pediatric patients with lobar pneumonia, the occurrence of manifestations or complications including involvement of ≥2 lung lobes, myocardial damage, pleural effusion, abnormal liver function, digestive system involvement, nervous system involvement, rash, renal function impairment, and lung atelectasis were observed in 46, 46, 39, 33, 18, 17, 11, 5, and 4 cases, respectively. The pathogen positivity rate in the BALF samples of the 115 patients was 87.0% (100/115), with 81 cases of single infection and 19 cases of mixed infection. A total of 121 strains of pathogens were isolated, including 83 strains of Mycoplasmal pneumonia (MP) (accounting for 68.6%) and SP(13.2%). The differences in the detection rates of HI, MP, RSV strains among different age groups were statistically significant (χ2=8.834, 19.454, 10.284, P<0.05), while the differences in the infection rates of SP, KP, CP, and ADV were not statistically significant (χ2=3.393, 2.67, 0.565, 0.097, P>0.05). The MP pneumonia group showed significantly higher incidence of complications such as pleural effusion, nervous system involvement, and abnormal liver function than the non-MP pneumonia group (χ2=3.925, 4.195, and 4.513, P<0.05). The highest pathogen detection rate was in winter, accounting for 33.91%. Conclusions MP is the most common pathogen in BALF of children with lobar pneumonia. There is variation in the pathogen detection rate among different age groups and seasons. Those with combined infections were more prone to complications, which is worthy of attention by clinicians.

BACKGROUND: The switch/sucrose nonfermentable chromatin-remodeling (SWI/SNF) complex is a pivotal chromatin remodeling complex, and the genomic alterations (GAs) of the SWI/SNF complex are observed in several cancer types, correlating with multiple biological features of tumor cells. However, their role in liver metastasis of non-small cell lung cancer (NSCLC) remains unclear. Our study aims to investigate the role and potential mechanisms underlying NSCLC liver metastasis induced by the GAs of SWI/SNF complex. METHODS: The GAs of SWI/SNF complex in NSCLC cell lines (H1299, H23 and H460) were identified by whole-exome sequencing (WES). ARID1A knockout H1299 cell was constructed with the CRISPR/Cas9 technology. The mouse model of liver metastasis from NSCLC was established to simulate lung cancer liver metastasis and observe the metastasis rate under different gene mutation conditions. RNA sequencing and Western blot were conducted for differential gene expression analysis. Immunohistochemistry (IHC) analysis was used to assess protein expression levels of SWI/SNF-regulated target molecules in mouse liver metastases. RESULTS: WES analysis revealed intracellular gene mutations. The animal experiments demonstrated a correlation between the GAs of SWI/SNF complex and a higher liver metastasis rate in immunodeficient mice. Transcriptome sequencing and Western blot analysis showed upregulated expression of ALDH1A1 and APOBEC3B in SWI/SNF-mut cells, particularly in ARID1A-deficient H460 and H1299 sgARID1A cells. IHC staining of mouse liver metastases further demonstrated elevated expression of ALDH1A1 in the H460 and H1299 sgARID1A group. CONCLUSIONS This study underscores the critical role of the GAs of SWI/SNF complex, such as ARID1A and SMARCA4, in promoting liver metastasis of lung cancer cells. The GAs of SWI/SNF complex may promote liver-specific metastasis by upregulating ALDH1A1 and APOBEC3B expression, providing novel insights into the molecular mechanisms underlying lung cancer liver metastasis.
Animals ; Mice ; Carcinoma, Non-Small-Cell Lung/genetics* ; Lung Neoplasms/genetics* ; Mutation ; Liver Neoplasms/genetics*

Surgical resection is the most important treatment of thymoma. However, the role of postoperative adjuvant radiotherapy (PORT) has been controversial. The survival benefits of two-dimensional radiotherapy are not significant. However, precision radiotherapy has significantly changed tumor radiotherapy. The value of PORT for thymoma may also be altered. At present, the effect of radiotherapy in patients with positive surgical margins or inoperable resection is confirmed. For patients with complete surgical resection, Masaoka-Koga stage Ⅰ patients do not require PORT. Whether PORT should be given for stage Ⅱ patients remains debated if stage Ⅱ b, large volume and B2/B3 type were considered during radiotherapy. The role of PORT for stage Ⅲ patients is also in disputed, whereas a majority of findings support the application of PORT. Precision technology is recommended during PORT. The clinical target volume suggests that the three-dimensional expansion of the tumor bed is 0.5 cm, including the mediastinal pleura involved by the tumor and 0.5-1.0 cm along the anterior and posterior direction of the mediastinal pleura, the cranial and caudal direction, the lung side is expanded within the 0.5 cm, and the vascular wall around the tumor and part of the vascular space, so as to avoid including too much normal tissue. The dose for complete resection is 45-50 Gy and 54-60 Gy or slightly higher for incomplete resection, which may increase the benefits and reduce the risk of PORT.The application of new radiotherapy techniques such as particle therapy can gain the advantage of dosimetric distribution, and whether it can be transformed into clinical benefits needs to be further explored.