ObjectiveTo study the effects of Epimedii Folium polysaccharides on mice with exercise-induced fatigue and explore its possible mechanism of action. MethodICR male mice screened by swimming training were randomly divided into a control group， model group， vitamin C group， and low， medium， and high dose groups of Epimedii Folium polysaccharides， with eight mice in each group. The exercise-induced fatigue model was established by weight-bearing swimming training in each group except for the control group. After two weeks of weight-bearing swimming， the Epimedii Folium polysaccharide groups were given 100， 200， 400 mg∙kg^-1 of Epimedii Folium polysaccharides by gavage， and the vitamin C group was given 200 mg∙kg^-1 of vitamin C by gavage. The control group and the model group were given equal amounts of saline for 14 d. At the end of the experimental period， the body mass of the mice in each group and the time of last swimming due to exhaustion were recorded. Serum urea nitrogen （BUN）， lactic acid （LA）， lactate dehydrogenase （LDH）， malondialdehyde （MDA）， superoxide dismutase （SOD）， glutathione peroxidation （GSH-Px）， myoglycogen （MG） in skeletal muscle， hepatic glycogen （HG） in the liver were detected by kits. Hematoxylin-eosin （HE） staining was used to observe the pathological changes in muscle tissue. Western blot was used to detect the protein expression of p38 mitogen-activated protein kinase （p38 MAPK）， phosphorylation （p）-p38 MAPK， extracellular signal-regulated kinase1/2 （ERK1/2）， nuclear factor-κB （NF-κB）， p-NF-κB， interleukin-1β （IL-1β）， and interleukin-6 （IL-6） in muscle tissue. The immunofluorescence （IF） method was used to detect the expression of tumor necrosis factor-α （TNF-α） in skeletal muscle tissue of mice in each group. ResultCompared with the control group， the body mass of mice in the model group decreased， and the time of last swimming due to exhaustion decreased （P<0.01）. In addition， there were significantly higher serum levels of the fatigue metabolites LA， LDH， BUN， and lipid peroxidation product MDA （P<0.01） and decreased levels of MG， HG， SOD， and GSH-Px （P<0.01）. The protein expressions of p-p38 MAPK， ERK1/2， p-NF-κB， IL-1β， IL-6， and TNF-α in skeletal muscle tissue were significantly higher than those of the control group （P<0.01）. Compared with the model group， the body mass and time of last swimming due to exhaustion of the mice in the low， medium， and high dose groups of Epimedii Folium polysaccharides and the vitamin C group were increased （P<0.05， P<0.01）， and the contents of LA， LDH， BUN， and MDA were significantly decreased （P<0.05， P<0.01）. The levels of MG， HG， SOD， and GSH-Px increased （P<0.05， P<0.01）， and the protein expression levels of p-p38 MAPK， ERK， p-NF-κB， IL-1β， IL-6， and TNF-α in skeletal muscle tissue decreased （P<0.05， P<0.01）. ConclusionEpimedii Folium polysaccharides can play a role in alleviating exercise-induced fatigue by inhibiting the p38 MARK/NF-κB signaling pathway， thereby reducing the accumulation of metabolites， improving the activity of antioxidant enzymes， increasing the glycogen content of the body， and reducing inflammation in skeletal muscle.

Objective:To understand the epidemiological characteristics of human respiratory syncytial virus (HRSV) among cases presenting with influenza-like illness (ILI) in Shenzhen City from 2019 to 2023.Methods:Respiratory specimens were collected from two national sentinel hospitals in Shenzhen from March 2019 to December 2023, specifically targeting cases of ILI. The real-time PCR method was used for the detection and genotyping of HRSV. Basic demographic information was collected and used for the epidemiological analysis.Results:A total of 9 278 respiratory specimens of influenza-like cases were collected and detected, with a total positive rate of 4.77% (443/9 278) for HRSV. In 2021 (8.48%, 167/1 970), the positive rate of HRSV was significantly higher than in 2019 (3.35%, 52/1 552), 2022 (1.80%, 39/2 169), and 2023 (4.49%, 133/2 960), and the difference was statistically significant ( χ 2=102.395, P<0.001). The prevalence of HRSV was mainly in summer and early autumn (September), and there was an abnormal increase in the positive rate of HRSV in winter 2022. The highest positive rate of HRSV was in children under five years old (9.84%, 330/335). The typing results showed that in 2022, the prevalence of HRSV-A was predominant (71.79%, 28/39), and in 2023, HRSV-A and HRSV-B subtypes coexisted. Conclusions:The prevalence of HRSV in Shenzhen from 2019 to 2023 has obvious seasonality, mainly in summer and early autumn. Children under five years old are the main population of HRSV infections.

Objective:To understand the epidemiological characteristics of human respiratory syncytial virus (HRSV) among cases presenting with influenza-like illness (ILI) in Shenzhen City from 2019 to 2023.Methods:Respiratory specimens were collected from two national sentinel hospitals in Shenzhen from March 2019 to December 2023, specifically targeting cases of ILI. The real-time PCR method was used for the detection and genotyping of HRSV. Basic demographic information was collected and used for the epidemiological analysis.Results:A total of 9 278 respiratory specimens of influenza-like cases were collected and detected, with a total positive rate of 4.77% (443/9 278) for HRSV. In 2021 (8.48%, 167/1 970), the positive rate of HRSV was significantly higher than in 2019 (3.35%, 52/1 552), 2022 (1.80%, 39/2 169), and 2023 (4.49%, 133/2 960), and the difference was statistically significant ( χ 2=102.395, P<0.001). The prevalence of HRSV was mainly in summer and early autumn (September), and there was an abnormal increase in the positive rate of HRSV in winter 2022. The highest positive rate of HRSV was in children under five years old (9.84%, 330/335). The typing results showed that in 2022, the prevalence of HRSV-A was predominant (71.79%, 28/39), and in 2023, HRSV-A and HRSV-B subtypes coexisted. Conclusions:The prevalence of HRSV in Shenzhen from 2019 to 2023 has obvious seasonality, mainly in summer and early autumn. Children under five years old are the main population of HRSV infections.

Malocclusion,identified by the World Health Organization(WHO)as one of three major oral diseases,profoundly impacts the dental-maxillofacial functions,facial esthetics,and long-term development of～260 million children in China.Beyond its physical manifestations,malocclusion also significantly influences the psycho-social well-being of these children.Timely intervention in malocclusion can foster an environment conducive to dental-maxillofacial development and substantially decrease the incidence of malocclusion or reduce the severity and complexity of malocclusion in the permanent dentition,by mitigating the negative impact of abnormal environmental influences on the growth.Early orthodontic treatment encompasses accurate identification and treatment of dental and maxillofacial morphological and functional abnormalities during various stages of dental-maxillofacial development,ranging from fetal stages to the early permanent dentition phase.From an economic and societal standpoint,the urgency for effective early orthodontic treatments for malocclusions in childhood cannot be overstated,underlining its profound practical and social importance.This consensus paper discusses the characteristics and the detrimental effects of malocclusion in children,emphasizing critical need for early treatment.It elaborates on corresponding core principles and fundamental approaches in early orthodontics,proposing comprehensive guidance for preventive and interceptive orthodontic treatment,serving as a reference for clinicians engaged in early orthodontic treatment.

OBJECTIVES: To explore the association between maternal gestational diabetes mellitus (GDM) exposure and the development of autism spectrum disorder (ASD) in offspring. METHODS: A case-control study was conducted, recruiting 221 children with ASD and 400 healthy children as controls. Questionnaires and interviews were used to collect information on general characteristics of the children, socio-economic characteristics of the family, maternal pregnancy history, and maternal disease exposure during pregnancy. Multivariate logistic regression analysis was used to investigate the association between maternal GDM exposure and the development of ASD in offspring. The potential interaction between offspring gender and maternal GDM exposure on the development of ASD in offspring was explored. RESULTS: The proportion of maternal GDM was significantly higher in the ASD group compared to the control group (16.3% vs 9.4%, P=0.014). After adjusting for variables such as gender, gestational age, mode of delivery, parity, and maternal education level, maternal GDM exposure was a risk factor for ASD in offspring (OR=2.18, 95%CI: 1.04-4.54, P=0.038). On the basis of adjusting the above variables, after further adjusting the variables including prenatal intake of multivitamins, folic acid intake in the first three months of pregnancy, and assisted reproduction the result trend did not change, but no statistical significance was observed (OR=1.94, 95%CI: 0.74-5.11, P=0.183). There was an interaction between maternal GDM exposure and offspring gender on the development of ASD in offspring (P<0.001). Gender stratified analysis showed that only in male offspring of mothers with GDM, the risk of ASD was significantly increased (OR=3.67, 95%CI: 1.16-11.65, P=0.027). CONCLUSIONS Maternal GDM exposure might increase the risk of ASD in offspring. There is an interaction between GDM exposure and offspring gender in the development of ASD in offspring.
Child ; Female ; Pregnancy ; Humans ; Male ; Diabetes, Gestational/etiology* ; Autism Spectrum Disorder/etiology* ; Case-Control Studies ; Gestational Age ; Mothers

For a long time, the cultivation of medical students’ scientific research and innovation abilitymainly depends on scattered extracurricular scientific research activities. With limited students, unsystematic teaching and inadequate administrative guarantee, it often results in obvious weakness andinefficiency. Since 2002, the Biochemistry and Molecular Biology teaching team in Shantou UniversityMedical College has been working on a “3+X” model to nurture the scientific research and innovationability of medical students. Guided by the concepts of complementary development of science andeducation, student-centeredness, and Problem-based Learning, a model is established based on the‘HEART” professionalism courses and the academy culture specific to Shantou University. We also takefull advantage of the first-tier disciplines of biology, basic medicine and clinical medicine in ShantouUniversity and collaborate with other professional teaching teams. It is conceptualized in a framework thatembraces the comprehensive connotation of scientific research and innovation ability and adopts a corecurriculum system that runs through the 5-year medical undergraduate education. In this model, " 3" means " whole-person training", " whole-process training" and " omni-directional training" for medicalstudents; " X" refers to several confirmatory dimensions of the operational effectiveness of the " 3+X" model, including organizing medical students to participate in various forms of national college students’ innovative experimental research competitions, international college students’ academic seminars, writingand publishing academic papers by medical undergraduates as the first author, etc. The model proves tobe effective in cultivating the scientific research and innovation ability of medical students, hence settinga good example to solve the current problems in the cultivation of medical students’ scientific researchand innovation ability.

OBJECTIVE: To explore the correlation between the changes of T lymphocyte subsets and cytokines in patients with MM and immune function status, biochemical indicators, and their relationships with clinical stage and prognosis, which is expected to provide a scientific basis for the prognosis analysis and condition monitoring of MM patients. METHODS: The clinical data of 89 MM patients in two hospitals were collected, and 36 healthy people without tumor or infectious diseases were selected as the control group. Flow cytometry and enzyme-linked immunosorbent assay (ELISA) were used to detect the changes of core members of peripheral blood T lymphocyte subsets and cytokine levels, respectively. At the same time, automatic biochemical analyzer and automatic blood cell analyzer were used to detect serum β₂-microglobulin (β₂-MG), lactate dehydrogenase (LDH), albumin (ALB), creatinine (CRE) and hemoglobin (HGB) levels, and the relationship between T lymphocyte subsets and the above indexes and their clinical significance were analyzed. RESULTS: The proportions of NK cells and CD8⁺T lymphocytes in the peripheral blood of MM patients were significantly higher than that of the control group (P<0.01), the proportion of CD4⁺T and the ratio of CD4⁺/CD8⁺ were lower than those of the control group (P<0.05); however, there was no significant difference in the numbers CD3⁺T cells compared with the control group (P>0.05). The proportion of CD4⁺T and ratios of CD4⁺/CD8⁺ in MM patients were lower than those of normal controls, and were negatively correlated with MM staging (r=-0.964, r=-0.653), that is, the later the MM staging, the more obvious their levels were reduced, while CD8⁺T and NK cells were positively correlated with MM staging (r=0.891, r=0.728), that is, the later the MM staging, the more significant their levels increased. The levels of Treg cells (CD4⁺CD25^highCD127^low/-T cells/CD4⁺T cells) of MM patients in the disease stage Ⅰ, Ⅱ and Ⅲ were (5.87±0.92)%, (7.97±1.32)%, (11.52±4.71)% respectively, the difference was statistically significant compared with control group (P<0.05), and the level of Treg cells in MM patients with stage III was significantly higher than that in controls and patients with other disease stages (P<0.01). The proportion of Treg cells (CD4⁺CD25^highCD127^low/-T cells/CD4⁺T cells) in MM patients was positively correlated with the concentration of β₂-MG and LDH (r=0.793, r=0.536), but had no significant correlation with HGB, ALB and CRE. The serum levels of IL-6, IL-10 and TNF-α in MM patients were significantly higher than those in the control group (P<0.05), which were closely related to MM staging(r=0.839, r=0.917, r=0.746), that is, the later the MM staging, the higher the levels; The serum IFN-γ level was negatively correlated with the stage of MM (r=-0.689), and its level gradually decreased with the increase of the disease stage and degree (P<0.01). There was no significant correlation between the levels of IL-2 and IL-4 and the disease stage, but they were all up-regulated compared with the control group (P<0.05). CONCLUSION The abnormal regulation of the core members of T lymphocyte subsets and the levels of various cytokines are closely related to the disease progression and poor prognosis of MM patients, which is an effective indicator for the disease monitoring of MM patients.
Humans ; Multiple Myeloma/therapy* ; Cytokines ; L-Lactate Dehydrogenase ; T-Lymphocyte Subsets

Objective:To establish a long-term mortality rate prediction model for patients aged 60 years and over with atrial fibrillation and coronary heart disease using the machine learning method, and identify the corresponding risk factors of mortality.Methods:In this retrospective cohort study, a total of 329(11 cases lost of follow-up)patients with 183 males(55.6%)and 146 females(44.4%), aged(77.8±7.3)years, and 142 patients aged 80 years or older(43.2%)were selected in our hospitals from January 2013 to March 2015.And their clinical data on atrial fibrillation and coronary heart disease were analyzed.They were divided into the death group(151 cases)and the survival group(167 cases)according to the survival outcome.In addition, 60 patients aged 60 years and over admitted to our hospitals from April to July 2015 with atrial fibrillation and coronary heart disease were selected as external data validation set.The clinical data included age, gender, body mass index, diagnosis, co-morbidity, laboratory indicators, electrocardiogram, echocardiogram, treatment data.These patients were followed up for at least 6 years, and the main adverse cardiovascular and cerebrovascular events(MACCE), including death, were recorded.Finally, the data of the enrolled patients were randomly divided into the training set and the test set according to the ratio of 9∶1, Different models were established to predict the long-term mortality of patients with atrial fibrillation and coronary heart disease by machine learning algorithm.The optimal model was established by substituting external data(60 cases)into the model for verification and comparison.The top 20 risk factors for mortality were determined by Shapley additive explanation(SHAP)algorithm.Results:A total of 329 hospitalized patients were included in this study, the overall median follow-up time was 77.0 months(95% CI: 54.0~84.0), 11 cases lost during follow-up(3.3%), and 151 cases died(45.9%). The analysis found that the areas under the ROC curve for a support vector machine(SVM)model, k-Nearest Neighbor(KNN)model, decision tree model, random forest model, ADABoost model, XGBoost model and logistic regression model were 0.76, 0.75, 0.75, 0.91, 0.86, 0.85 and 0.81, respectively.The random forest model had the highest prediction efficiency, with the accuracy of 0.789 and F1 value of 0.806, which was better than the logistic regression model[the Area Under Receiver Operating Characteristic Curve(AUC): 0.91 vs.0.81, P<0.05]. D-dimer, age, number of MACCE, left ventricular ejection fraction, serum albumin level, anemia, New York Heart Association(NYHA)grade, history of old myocardial infarction, estimated glomerular filtration rate(eGFR)and resting heart rate were important risk factors for predicting long-term mortality. Conclusions:The random forest model based on machine learning method can predict the long-term mortality of patients with atrial fibrillation and coronary heart disease aged 60 years and over, have a good identification ability.Its accuracy is higher than that of the traditional Logistic regression model.Reducing the long-term mortality and improving the long-term outcomes can be achieved by intervening on D-dimer levels, correcting hypoproteinemia and anemia, improving cardiac function and controlling resting ventricular rates.

OBJECTIVE Corona-virus disease 2019 (COVID-19) is an infectious disease caused by SARS-CoV-2 virus. The variant of corona-virus first identified in India, known as Delta, has become the dominant strain in China. Unfortunately, more conta-gious and unknown variants are coming, leading to a number of close contacts under quarantine. Chinese medicine (TCM) has been recommended to prevention and treatment due to the satisfactory therapeutic effects. However, the effect of TCM to decrease positive rate in close contacts remains unknown. METHODS We conducted an retrospective cohort study in Yangzhou, China to assess the effect of Chinese medicine on decreasing positive rate in close contacts under quarantine. The primary observation outcome was positive rate of Nucleic Acid Amplification Tests (NAATs). The secondary observation outcome was a composite of viral load of positive NAATs, severity levels of confirmed cases (asymptomatic, mild, moderate, or severe), daily body temperature, and levels of close contact (primary or secondary). RESULTS A total of 1286 subjects were collected, of which 1016 (79.00％) in TCM group and 270 (21.00％) in control group with 55 participants tested positive. The incidence of the primary outcome, positive rate of NAATs was significantly lower in the Chinese medicine group than in the control group, occurring in male and age≥60 years subjects. Multi-varia-ble logistic regression (excluding NO viral load) indicated that the risk of testing positive was reduced by 0.547 times in TCM groupcompared to control group. CT value of TCM group was higher than that of control group in all subjects and female subjects, and the re-sult showed statistically significant difference. CONCLUSIONS In our study involving close contacts under quarantine, Chinese medicine resulted in lower positive rate of NAATs and viral load than control.

OBJECTIVE: To study the long-term clinical effect of multicenter multidisciplinary treatment (MDT) in children with renal malignant tumors. METHODS: A retrospective analysis was performed on the medical data of 55 children with renal malignant tumors who were diagnosed and treated with MDT in 3 hospitals in Hunan Province from January 2015 to January 2020, with GD-WT-2010 and CCCG-WT-2016 for treatment regimens. A Kaplan-Meier survival analysis was used to analyze the survival of the children. RESULTS: Of the 55 children, 10 had stage I tumor, 14 had stage Ⅱ tumor, 22 had stage Ⅲ tumor, 7 had stage IV tumor, and 2 had stage V tumor. As for pathological type, 47 had FH type and 8 had UFH type. All children underwent complete tumor resection. Of the 55 children, 14 (25%) received preoperative chemotherapy. All children, except 1 child with renal cell carcinoma, received postoperative chemotherapy. Among the 31 children with indication for radiotherapy, 21 (68%) received postoperative radiotherapy. One child died of postoperative metastasis. The incidence rate of FH-type myelosuppression was 94.4%, and the incidence rate of UFH-type myelosuppression was 100%. The median follow-up time was 21 months and the median survival time was 26 months for all children, with an overall survival rate of 98% and an event-free survival rate of 95%. CONCLUSIONS Multicenter MDT has the advantages of high success rate of operation and good therapeutic effect of chemotherapy in the treatment of children with renal malignant tumors, with myelosuppression as the most common side effects, and radiotherapy is safe and effective with few adverse events. Therefore, MDT has good feasibility, safety, and economy.
Child ; Family ; Humans ; Kidney Neoplasms/therapy* ; Progression-Free Survival ; Retrospective Studies