Abstract To analyzes the characteristics, problems and enlightenment of physical activity observation tools, so as to provide reference for researchers to quickly and accurately choose appropriate observation tools to evaluate children s and adolescents physical activity. Literature search is conducted in eight databases of Chinese and English, including CNKI, Wanfang, VIP, Web of Science, PubMed, Medline, ERIC, and SPORTDiscus. Ultimately, eight observation tools for assessing physical activity in children and adolescents are included. Through summarization and comparison, it is found that the applications of those tools cover multiple age groups, the observation indicators cover multiple dimensions for each with varying emphases, and the applicable contexts vary in their specific background information, and recording methods tend to be quantitative. However, several issues remain to be addressed in practical applications. First, the observation indicators need to be supplemented and improved; second, physical activity in community environments and academic classrooms requires further attention; third, physical activity intensity needs to be scientifically evaluated; fourth, observation and recording methods need to be integrated and innovated; fifth, the number of observation subjects needs to be expanded. Future research could focus on developing observation tools tailored to the characteristics of Chinese children and adolescents, while drawing on foreign observation tools to comprehensively assess physical activity among children and adolescents.

Objective: To evaluate the immunogenicity and safety of co-administration with bivalent human papillomavirus (HPV) vaccine and hepatitis E virus (HEV) vaccine, so as to provide reference for optimizing the vaccination schedule. Methods: Females aged 18 to 25 years were recruited from September to October 2021 in Hengdian College of Film & Television in Zhejiang Province and randomly divided into the HPV+HEV group, the HPV group, and the HEV group. The vaccination procedures were one dose each at 0, 1, and 6 months. Immunogenicity was evaluated by detecting the geometric mean titers (GMT) of HPV16 IgG, HPV18 IgG, and/or HEV IgG antibodies before the first vaccination and one month after the full course of immunization, and comparing the difference in seroconversion, and the GMT ratio. The non-inferiority margin was set at a seroconversion difference of ≤5%, and the lower limit of the 95%CI of the GMT ratio was >0.5. Safety was evaluated by collecting conjunctive local reactions/events and systemic reactions/events within 7 days after each dose, non-conjunctive adverse events within 30 days after each dose, and serious adverse events throughout the observation period (0 to 7 months). Results: A total of 240 females were included, among whom 236 completed the full vaccination program, including 79 in the HPV+HEV group, 77 in the HPV group, and 80 in the HEV group. One month after the full course of immunization, the seroconversion rates of HPV16 IgG and HPV18 IgG antibodies in both the HPV+HEV group and the HPV group were 100%, and the differences in seroconversion rates were 0 (95%CI: -3.39%-+∞). The seroconversion rates of HEV IgG antibodies in both the HPV+HEV group and the HEV group were 100%, and the difference in seroconversion rates was 0 (95%CI: -3.27%-+∞). The GMT of HPV16 IgG and HPV18 IgG antibodies in the HPV+HEV group was 393.88 and 284.86 IU/mL respectively, which was not inferior to 489.39 and 341.24 IU/mL in the HPV group, and the GMT ratios were 0.80 (95%CI: 0.66-+∞) and 0.83 (95%CI: 0.68-+∞), respectively. The GMT of HEV IgG in the HPV+HEV group was 13.55 U/mL, which was not inferior to 12.72 U/mL in the HEV group, and the GMT ratio was 1.07 (95%CI: 0.92-+∞). The incidences of pain, pruritus, and induration in the HPV+HEV group were 54.43%, 21.52% and 40.51% respectively, which were significantly higher than 10.39%, 0, and 0 in the HPV group (all P<0.05). The incidences of redness/swelling, muscle pain/general weakness in the HPV+HEV group were 2.53% and 0, respectively, which were significantly lower than 12.50% and 16.25% in the HEV group (both P<0.05). Conclusion The co-administration of the bivalent HPV vaccine and HEV vaccine is not inferior to individual vaccination in terms of immunogenicity and safety, and the vaccination plan can be optimized through co-administration.

Objective To investigate the prevalence of Schistosoma japonicum infections in wild rodents in schistosomiasis-endemic areas of China, so as to provide insights into formulation of technical guidelines for monitoring of and the precise control strategy for S. japonicum infections in wild rodents during the elimination phase. Methods Two administrative villages where schistosomiasis was historically highly prevalent were selected each from Dongzhi County, Anhui Province, and Duchang County, Jiangxi Province as study villages. Wild rodents were captured from study villages with baited traps or cages at night in June and September, 2021. The number of rodents captured was recorded, and the rodent species was characterized based on morphologi-cal characteristics. Liver tissues were sampled from captured rodents for macroscopical observation of the presence of egg granu- lomas, and S. japonicum infection was detected simultaneously using liver tissue homogenate microscopy, examinations of mesenteric tissues for parasites, and modified Kato-Katz thick smear technique (Kato-Katz technique). A positive S. japonicum infection was defined as detection of S. japonicum eggs or adult worms by any of these methods. The rate of wild rodent capture and prevalence of S. japonicum infections in wild rodents were compared in different study villages and at different time periods, and the detection of S. japonicum infections in wild rodents was compared by different assays. Results The overall rate of wild ro- dent capture was 8.28% (237/2 861) in Dongzhi County, and the wild rodent capture rates were 9.24% (133/1 439) and 7.31% (104/1 422) in two study villages (χ² = 3.503, P = 0.061), and were 8.59% (121/1 409) and 7.99% (116/1 452) in June and September, 2021, respectively (χ² = 0.337, P = 0.561). The overall rate of wild rodent capture was 3.72% (77/2 072) in Duchang County, and the wild rodent capture rates were 6.91% (67/970) and 0.91% (10/1 102) in two study villages (χ² = 51.901, P < 0.001), and were 4.13% (39/945) and 3.37% (38/1 127) in June and September, 2021, respectively (χ² = 0.815, P = 0.365). Rattus norvegicus was the predominant rodent species captured in both counties, accounting for 70.04% (166/237) of all captured wild rodents in Dongzhi County and 88.31% (68/77) in Duchang County. No S. japonicum infection was detected in wild rodents captured in Duchang County. Nevertheless, the overall prevalence of S. japonicum infections was 51.05% (121/237) in wild rodents captured in Dongzhi County, with prevalence rates of 50.38% (67/133) and 51.92% (54/104) in two study villages (χ² = 0.098, P = 0.755), and 54.31% (63/116) and 47.93% (58/121) in September and June, 2021, respectively (χ² = 0.964, P = 0.326). Of 237 wild rodents captured in Dongzhi County, there were 140 (59.07%) rodents with visible hepatic egg granulomas, 117 (49.47%) tested positive for S. japonicum eggs by liver tissue homogenate microscopy, 34 (14.35%) tested positive for S. japonicum eggs with Kato-Katz technique; however, no adult S. japonicum worms were detected in mesenteric tissues. In addition, hepatic egg granulomas were found in all wild rodents tested positive for S. japonicum eggs with liver tissue homogenate microscopy. Conclusions The rate of wild rodent capture and prevalence of S. japonicum infection in wild rodents vary greatly in schistosomiasis-endemic areas of China, and the prevalence of S. japonicum infection is slightly higher in wild rodents captured in autumn than in summer. Liver tissue is recommended as the preferred sample for surveillance of S. japonicum infection in wild rodents, and a combination of macroscopical observation of hepatic egg granulomas and liver tissue homogenate microscopy may be a standard method for surveillance of S. japonicum infection in wild rodents.

Objective:To understand the epidemiological characteristics of human respiratory syncytial virus (HRSV) among acute respiratory infection (ARI) cases in 16 provinces of China from 2009 to 2023.Methods:The data of this study were collected from the ARI surveillance data from 16 provinces in China from 2009 to 2023, with a total of 28 278 ARI cases included in the study. The clinical specimens from ARI cases were screened for HRSV nucleic acid from 2009 to 2023, and differences in virus detection rates among cases of different age groups, regions, and months were analyzed.Results:A total of 28 278 ARI cases were enrolled from January 2009 to September 2023. The age of the cases ranged from<1 month to 112 years, and the age M ( Q1, Q3) was 3 years (1 year, 9 years). Among them, 3 062 cases were positive for HRSV nucleic acid, with a total detection rate of 10.83%. From 2009 to 2019, the detection rate of HRSV was 9.33%, and the virus was mainly prevalent in winter and spring. During the Corona Virus Disease 2019 (COVID-19) pandemic, the detection rate of HRSV fluctuated between 6.32% and 18.67%. There was no traditional winter epidemic peak of HRSV from the end of 2022 to the beginning of 2023, and an anti-seasonal epidemic of HRSV occurred from April to May 2023. About 87.95% (2 693/3 062) of positive cases were children under 5 years old, and the difference in the detection rate of HRSV among different age groups was statistically significant ( P<0.001), showing a decreasing trend of HRSV detection rate with the increase of age ( P<0.001). Among them, the HRSV detection rate (25.69%) was highest in children under 6 months. Compared with 2009-2019, the ranking of HRSV detection rates in different age groups changed from high to low between 2020 and 2023, with the age M (Q1, Q3) of HRSV positive cases increasing from 1 year (6 months, 3 years) to 2 years (11 months, 3 years). Conclusion:Through 15 years of continuous HRSV surveillance analysis, children under 5 years old, especially infants under 6 months old, are the main high-risk population for HRSV infection. During the COVID-19 pandemic, the prevalence and patterns of HRSV in China have changed.

Objective: To investigate the effects and mechanisms of Xuebijing injection (XBJ) on Chimeric antigen receptor-T (CAR-T) cell function and its therapeutic potential against CAR-T therapy-associated cytokine storms (CRS). Methods: Anti-CD19 CAR-T cells were established based on FMC63 antibodies. Different doses of XBJ (1 and 10 mg/mL) were added to the culture system. Untreated anti-CD19 CAR-T cells served as negative controls. After 48-h co-culture, the effects of XBJ on CAR-T cell function were assessed. Carboxyfluorescein diacetate succinimidyl ester staining was used to assess the effect of XBJ on CAR-T cell proliferation. Flow cytometry, luciferase reporter gene assays, and real time cellular analysis were employed to evaluate the effects of XBJ on CAR-T cell cytotoxicity in vitro. RNA-sequencing was performed to analyze the effects of XBJ on CAR-T cell gene expression. Network pharmacology predicted potential XBJ therapeutic targets for CRS, which were verified in a THP-1 macrophage inflammation model. Results: XBJ enhanced both the proliferation and tumor killing capacities of CAR-T cells. Transcriptome analysis showed that XBJ treatment affects multiple genes and pathways in CAR-T cells, with differential gene enrichment in multiple cell proliferation and growth factor pathways. Potential targets for CRS control by XBJ were predicted using network pharmacology, and the inhibitory effect of XBJ on the expression of relevant genes was verified using a macrophage model. Conclusion The results of this study indicate that XBJ can enhance the killing effect of CAR-T cells on tumor cells and that the mechanism is related to the regulation of T cell proliferation and activation. Moreover, XBJ inhibited excessive inflammation associated with CAR-T therapy. However, the current findings remain to be further validated through in vivo experiments.

Objective To analyze the relationship between serum a proliferation inducing ligand(APRIL)and galactin-1(Gal-1)levels with clinical features and prognosis in patients with epithelial ovarian cancer(EOC).Methods EOC patients(n=132)who admitted in Handan Hangang Hospital of Hebei Province from January 2018 to June 2020 were selected as the cancer group,and were grouped into a survival group(n=56)and a death group(n=76)based on their three-year survival after discharge.Meanwhile,healthy in-dividuals(n=68)who underwent physical examination were regarded as the healthy group.Enzyme linked immunosorbent assay was applied to detect serum APRIL and Gal-1 levels in all subjects.Clinical data of all patients were collected and their relationship with serum APRIL,Gal-1 levels and prognosis was analyzed.Ka-plan-Meier method was applied to analyze the relationship between serum APRIL and Gal-1 levels and the prognosis of EOC patients.Cox regression was applied to analyze the relevant factors affecting the prognostic death of EOC patients.The prognostic value of serum APRIL in patients with EOC was analyzed by receiver operating characteristic(ROC)curve.Results The serum APRIL and Gal-1 expression levels in the cancer group were greatly higher than those in the healthy group,and the differences were statistically significant(P＜0.05).The serum APRIL and Gal-1 levels in the death group were greatly higher than those in the sur-vival group,and the differences were statistically significant(P＜0.05).Clinical data analysis showed that se-rum APRIL and Gal-1 levels were not related to the age of EOC patients(P＞0.05),but were related to tumor location,tumor diameter,The International Febderation of Gynecology and Obstetrics(FIGO)staging,differentiation degree,lymph node metastasis,histological classification,and levels of cancer antigen 125(CA125)and human epididymis protein 4(HE4),and FIGO staging,differentiation degree,lymph node me-tastasis,histological classification,and levels of CA125 and HE4 also significantly affected the prognosis of pa-tients(P＜0.05).FIGO stage Ⅲ+Ⅳ,low differentiation,lymph node metastasis,serous tissue classification,CA125≥200 U/mL,HE4≥200 pmol/L,and high expression of APRIL and Gal-1 were all risk factors for prognostic death in EOC patients(P＜0.05).The three-year survival rate of APRIL high expression patients(25.37％)was greatly lower than that of APRIL low expression patients(60.00％),and the three-year sur-vival rate of Gal-1 high expression patients(27.94％)was greatly lower than that of Gal-1 low expression pa-tients(57.81％),,and the differences were statistically significant(P＜0.05).ROC curve showed that the ar-ea under the curve(AUC)of the combination of APRIL and Gal-1 for predicting the prognosis was 0.925,which was significantly higher than that of the diagnosis of the two alone,(Zcombined-APRIL=4.061,P＜0.001,Zcombined-Gal-1=3.424,P＜0.001),with a sensitivity and specificity of 86.84％and 83.93％,respectively.Conclu-sion The expression levels of serum APRIL and Gal-1 are greatly elevated in EOC patients,and their levels are related to tumor location,tumor diameter,FIGO staging,lymph node metastasis,histological classifica-tion,CA1 25,HE4,and differentiation degree.The expression levels of both have great application value in the prognosis evaluation of EOC patients.

Objective:To understand the epidemiological characteristics of human respiratory syncytial virus (HRSV) among acute respiratory infection (ARI) cases in 16 provinces of China from 2009 to 2023.Methods:The data of this study were collected from the ARI surveillance data from 16 provinces in China from 2009 to 2023, with a total of 28 278 ARI cases included in the study. The clinical specimens from ARI cases were screened for HRSV nucleic acid from 2009 to 2023, and differences in virus detection rates among cases of different age groups, regions, and months were analyzed.Results:A total of 28 278 ARI cases were enrolled from January 2009 to September 2023. The age of the cases ranged from<1 month to 112 years, and the age M ( Q1, Q3) was 3 years (1 year, 9 years). Among them, 3 062 cases were positive for HRSV nucleic acid, with a total detection rate of 10.83%. From 2009 to 2019, the detection rate of HRSV was 9.33%, and the virus was mainly prevalent in winter and spring. During the Corona Virus Disease 2019 (COVID-19) pandemic, the detection rate of HRSV fluctuated between 6.32% and 18.67%. There was no traditional winter epidemic peak of HRSV from the end of 2022 to the beginning of 2023, and an anti-seasonal epidemic of HRSV occurred from April to May 2023. About 87.95% (2 693/3 062) of positive cases were children under 5 years old, and the difference in the detection rate of HRSV among different age groups was statistically significant ( P<0.001), showing a decreasing trend of HRSV detection rate with the increase of age ( P<0.001). Among them, the HRSV detection rate (25.69%) was highest in children under 6 months. Compared with 2009-2019, the ranking of HRSV detection rates in different age groups changed from high to low between 2020 and 2023, with the age M (Q1, Q3) of HRSV positive cases increasing from 1 year (6 months, 3 years) to 2 years (11 months, 3 years). Conclusion:Through 15 years of continuous HRSV surveillance analysis, children under 5 years old, especially infants under 6 months old, are the main high-risk population for HRSV infection. During the COVID-19 pandemic, the prevalence and patterns of HRSV in China have changed.

Objective To investigate the feasibility of developing a grading diagnostic model for schistosomiasis-induced liver fibrosis based on B-mode ultrasonographic images and clinical laboratory indicators. Methods Ultrasound images and clinical laboratory testing data were captured from schistosomiasis patients admitted to the Second People’s Hospital of Duchang County, Jiangxi Province from 2018 to 2022. Patients with grade I schistosomiasis-induced liver fibrosis were enrolled in Group 1, and patients with grade II and III schistosomiasis-induced liver fibrosis were enrolled in Group 2. The machine learning binary classification tasks were created based on patients’radiomics and clinical laboratory data from 2018 to 2021 as the training set, and patients’radiomics and clinical laboratory data in 2022 as the validation set. The features of ultrasonographic images were labeled with the ITK-SNAP software, and the features of ultrasonographic images were extracted using the Python 3.7 package and PyRadiomics toolkit. The difference in the features of ultrasonographic images was compared between groups with t test or Mann-Whitney U test, and the key imaging features were selected with the least absolute shrinkage and selection operator (LASSO) regression algorithm. Four machine learning models were created using the Scikit-learn repository, including the support vector machine (SVM), random forest (RF), linear regression (LR) and extreme gradient boosting (XGBoost). The optimal machine learning model was screened with the receiver operating characteristic curve (ROC), and features with the greatest contributions to the differentiation features of ultrasound images in machine learning models with the SHapley Additive exPlanations (SHAP) method. Results The ultrasonographic imaging data and clinical laboratory testing data from 491 schistosomiasis patients from 2019 to 2022 were included in the study, and a total of 851 radiomics features and 54 clinical laboratory indicators were captured. Following statistical tests (t = −5.98 to 4.80, U = 6 550 to 20 994, all P values < 0.05) and screening of key features with LASSO regression, 44 features or indicators were included for the subsequent modeling. The areas under ROC curve (AUCs) were 0.763 and 0.611 for the training and validation sets of the SVM model based on clinical laboratory indicators, 0.951 and 0.892 for the training and validation sets of the SVM model based on radiomics, and 0.960 and 0.913 for the training and validation sets of the multimodal SVM model. The 10 greatest contributing features or indicators in machine learning models included 2 clinical laboratory indicators and 8 radiomics features. Conclusions The multimodal machine learning models created based on ultrasound-based radiomics and clinical laboratory indicators are feasible for intelligent identification of schistosomiasis-induced liver fibrosis, and are effective to improve the classification effect of one-class data models.

A middle-aged male came to Peking Union Medical College Hospital for treatment because of "pain for 10+ years, aggravated with emotional instability for 5 years". The patient's pain had a huge impact on life, with poor results even after repeated diagnosis and treatment in other hospitals. After multi-disciplinary discussion, it had been clarified that the pain was mainly caused by gout. The disease was heavily influenced by psychosocial factors. Therefore, the patient fits the diagnosis of "Psychological and Behavioral Factors Affecting Physical Diseases". The multi-disciplinary comprehensive management of the patient was carried out to identify and treat psychological factors affecting other medical conditions. After this mental treatment was performed, the patient's conditions significantly improved. The diagnosis and treatment of this patient demonstrates the importance of the multi-disciplinary treatment team for somatic symptoms (disorders).

In order to address issues such as the decline in diagnostic performance of deep learning models due to imbalanced data distribution in psoriasis vulgaris,a VGG13-based deep convolutional neural network model is proposed by integrating the processing capability of the improved fuzzy KMeans clustering algorithm for highly clustered complex data and the predictive capability of VGG13 deep convolutional neural network model.The model is applied to the diagnosis of psoriasis vulgaris,and the experimental results indicate that compared with VGG13 and resNet18,the proposed approach based on deep learning and improved fuzzy KMeans is more suitable for identifying psoriasis features.