Objective To analyze the problems in the operation and management of drug clinical trials and put forward targeted suggestion. Methods An electronic questionnaire survey was conducted among medical staff in about 80 hospitals in the yangtze river delta region. Results 606 valid questionnaires were received. 71% of the respondents expressed their willingness to study and participate in drug clinical trials. There were significant differences in the cognitive demands, willingness and motivation of the respondents with different occupations and educational backgrounds about the drug clinical trial work （P<0.05）. During the operation of drug clinical trials, respondents reported the main factors affecting the quality of clinical trials which including good clinical practice (GCP) awareness and subjective enthusiasm of investigators （response rate 27%）, job stability of supervisors and research coordinators （27%）, compliance of subjects （45%）, quality control of the whole process of the circulation of test drugs, medical devices and biological samples （52%）, and the informatization level of clinical trial institutions （30%）. Conclusion Hospitals, institutions and project teams could take measures to cultivate and stabilize the drug clinical trial talent team, improve the quality management system of drug clinical trials, improve work efficiency, and promote the high-quality development of drug clinical trials in medical institutions.

Objective To analyze the main causes and risk factors of unplanned reoperation after liver transplantation. Methods The clinical data of 242 liver transplant recipients in the First Affiliated Hospital of Anhui Medical University from January 2015 to December 2024 were retrospectively analyzed. According to whether unplanned reoperation was performed during the same hospitalization after surgery, the recipients were divided into the reoperation group (n=36) and the non-reoperation group (n=206). The preoperative, intraoperative and postoperative data of the two groups, as well as donor and graft-related data, were compared to analyze the risk factors of unplanned reoperation after liver transplantation and the survival status of the two groups. Results Among the 242 liver transplant recipients, 36 underwent unplanned reoperations, with a total of 54 procedures including various laparotomies, endoscopic and interventional surgeries, among which there were 20 laparotomies, 18 endoscopic surgeries and 16 interventional surgeries. The most common cause of unplanned reoperation was biliary complications (20 times), followed by vascular complications (17 times). Compared with the non-reoperation group, the reoperation group had longer graft cold ischemia time, higher postoperative fatality rate of recipients, longer length of stay in the intensive care unit and postoperative hospital stay, and higher total hospitalization costs (all P<0.05). The incidence of unplanned reoperation was higher in recipients who underwent split liver transplantation (P<0.05). Multivariate analysis showed that intraoperative blood loss ≥1 000 mL, positive culture of graft perfusate and split liver transplantation were independent risk factors for unplanned reoperation (all P<0.05). The postoperative 7-day, 1-month, 3-month and 6-month survival rates of recipients in the reoperation group and the non-reoperation group were 100% vs. 98.1%, 88.9% vs. 94.2%, 69.4% vs. 90.8% and 66.7% vs. 90.8%, respectively, and the postoperative survival rate of recipients in the reoperation group was lower than that in the non-reoperation group (P<0.05). Conclusions The main causes of unplanned reoperation after liver transplantation are biliary complications, vascular complications, abdominal incision infection and intra-abdominal hemorrhage. Intraoperative massive blood loss, positive culture of graft perfusate and split liver transplantation are the risk factors associated with unplanned reoperation after liver transplantation.

Objective: To investigate the status and influencing factors of nutritional health knowledge awareness among primary and middle school students in Wenzhou City, Zhejiang Province, so as to provide a basis for carrying out targeted nutrition health education for students. Methods: The stratified cluster random sampling method was used to select students from 48 schools across 12 counties (cities and districts) in Wenzhou City as survey subjects from October 2023 to February 2024. Basic information, parental information, and nutritional health knowledge were collected using the Questionnaire on nutritional health knowledge for School-Age Children. The awareness rate of nutritional health knowledge was analyzed. Multivariable logistic regression model was used to analyze the influencing factors for nutritional health knowledge awareness among primary and middle school students. Results: The survey included 4 405 boys, accounting for 51.42%, and 4 161 girls, accounting for 48.58%. The sample consisted of 2 497 pupils in Grades 1-3 (29.15%), 2 591 pupils in Grades 4-6 (30.25%), 1 739 junior high school students (20.30%), and 1 739 senior high school students (20.30%). The median score of nutrition health knowledge was 75.00 (interquartile range, 19.00), and the awareness rate was 4 524 (52.81%). Multivariable logistic regression analysis showed that girls (OR=1.317, 95%CI: 1.198-1.447), primary school students (Grades 1-3, OR=7.830, 95%CI: 6.444-9.513; Grades 4-6, OR=1.276, 95%CI: 1.066-1.528), and those whose mothers had an educational level above junior high school (senior high school/technical secondary school/technical school/junior college, OR=1.188, 95%CI: 1.044-1.352; bachelor' s degree or above, OR=1.194, 95%CI: 1.024-1.392) had a higher likelihood of nutrition and health knowledge awareness. Conversely, students who were overweight or obese (OR=0.798, 95%CI: 0.671-0.950), lived in school (OR=0.763, 95%CI: 0.650-0.895), and had a daily outdoor activity duration of <30 minutes (OR=0.641, 95%CI: 0.570-0.721) had a lower likelihood of nutritional health knowledge awareness. Conclusions The awareness rate of nutritional health knowledge among primary and middle school students in Wenzhou City needs to be improved, and is mainly influenced by gender, educational stage, body mass index, mother' s educational level, and outdoor activity duration. It is recommended to implement differentiated health education strategies and build a "family-school-community" linkage mechanism to improve students' nutrition health literacy.

ObjectiveTo develop an early - warning approach for influenza in Anhui province using the moving epidemic method （MEM）， offering a scientific basis for influenza prevention and control in the province. MethodsBased on the surveillance data reported weekly by influenza sentinel hospitals and network laboratories in the “China Influenza Surveillance Information System”， the weekly influenza virus detection positive rate （positive rate， PR） across the province was analyzed. The MEM was used to estimate the epidemic threshold and classification intensity threshold of influenza in Anhui province before and after the COVID-19 pandemic， respectively. The early warning effect of the MEM was evaluated using cross-validation. ResultsEpidemic and graded intensity thresholds of influenza were derived using PR and MEM. Prior to the COVID-19 pandemic， the starting， medium-intensity， high-intensity， extremely-high-intensity， and ending thresholds of influenza epidemics were 17.08%， 38.47%， 53.20%， 59.71%， and 12.34% respectively. At this point， the model exhibited sensitivity of 0.98， specificity of 0.86， Matthews correlation coefficient of 0.84， and Youden index of 0.84. After the COVID-19 pandemic， these thresholds were 25.61%， 43.81%， 63.29%， 74.46%， and 17.82% respectively. At this point， the model demonstrates sensitivity of 0.86， specificity of 0.92， Matthews correlation coefficient of 0.78， and Youden index of 0.77. ConclusionMEM shows good applicability in estimating the epidemic and graded intensity thresholds of influenza during the winter and spring in Anhui province. Both the influenza epidemic threshold and graded intensity thresholds after the COVID-19 pandemic are higher than those before the pandemic.

ObjectiveTo construct a risk prediction model for chronic atrophic gastritis （CAG） that combines disease and syndrome by integrating spleen deficiency and blood stasis syndrome scores， gastric stem cell marker analysis， and network pharmacology and to elucidate the mechanism link between spleen deficiency， blood stasis， and gastric stem cell dysregulation. MethodsA total of 60 patients were stratified into high-risk CAG， low-risk CAG， and non-atrophic groups based on the operative link for gastritis assessment （OLGA）/operative link for gastric intestinal metaplasia assessment （OLGIM） stages. General data and syndrome scores of the patients were collected. Immunohistochemistry was employed to measure the protein levels of leucine-rich repeat-containing G protein-coupled receptor 5 （LGR5）， trefoil factor 2 （TFF2）， and β-catenin in gastric mucosa across groups. Transcriptomic data （GSE130823） from the Gene Expression Omnibus （GEO） database were analyzed to validate the expression of these molecular markers at the gene level. A Firth penalized maximum likelihood logistic regression model was employed to integrate clinical， molecular， and TCM syndrome data to develop a CAG risk prediction model. Finally， network pharmacology analysis was conducted on spleen-invigorating herbs （Astragali Radix， Atractylodis Macrocephalae Rhizoma， and Dioscorea Rhizoma） and blood-activating herbs （Hedyotis diffusa， Salviae Miltiorrhizae Radix et Rhizoma， and Curcumae Rhizoma） to identify overlapping targets between these herbs and differentially expressed genes between low-grade intraepithelial neoplasia （LGIN） and gastritis， thereby clarifying the role of spleen deficiency and blood stasis in CAG progression from a pharmacological perspective. ResultsHigh-risk CAG patients exhibited higher blood stasis scores （4.60±1.50，2.62±1.32， P<0.01）， progressive nuclear accumulation of β-catenin （A 0.28-0.53， P<0.01）， and an increased LGR5⁺/TFF2⁺ ratio （A 1.02-1.92， P<0.01）. Blood stasis scores were correlated with LGR5/TFF2 imbalance （P=0.03） and activation of the Wnt/β-catenin signaling pathway （CTNNB1 increase， log₂=0.78）. The integrated prediction model （blood stasis score≥5 + β-catenin>0.38 + LGR5/TFF2>1.5） outperformed a pure biomarker approach ［Area Under the Curve （AUC） 0.92，0.89， ΔAUC=0.03， P=0.02］. Moreover， network pharmacology revealed 66 overlapping targets between spleen-invigorating/blood-activating herbs and LGIN， which were functionally enriched in mucosal repair and anti-oxidative stress， and negatively correlated with the Wnt/β-catenin signaling pathway （P<0.01）. ConclusionThis study developed an integrated risk prediction model for CAG by combining TCM spleen deficiency and blood stasis syndromes with gastric stem cell molecular markers. Furthermore， it proposed for the first time the "blood stasis-Wnt/β-catenin-stem cell axis" hypothesis， preliminarily elucidating that spleen deficiency and blood stasis may exacerbate gastric stem cell dysregulation and promote malignant transformation of CAG through hypoxia-induced Wnt activation. This provides a theoretical foundation and a translational tool for risk stratification and multi-target TCM intervention in CAG.

ObjectiveTo construct a risk prediction model for chronic atrophic gastritis （CAG） that combines disease and syndrome by integrating spleen deficiency and blood stasis syndrome scores， gastric stem cell marker analysis， and network pharmacology and to elucidate the mechanism link between spleen deficiency， blood stasis， and gastric stem cell dysregulation. MethodsA total of 60 patients were stratified into high-risk CAG， low-risk CAG， and non-atrophic groups based on the operative link for gastritis assessment （OLGA）/operative link for gastric intestinal metaplasia assessment （OLGIM） stages. General data and syndrome scores of the patients were collected. Immunohistochemistry was employed to measure the protein levels of leucine-rich repeat-containing G protein-coupled receptor 5 （LGR5）， trefoil factor 2 （TFF2）， and β-catenin in gastric mucosa across groups. Transcriptomic data （GSE130823） from the Gene Expression Omnibus （GEO） database were analyzed to validate the expression of these molecular markers at the gene level. A Firth penalized maximum likelihood logistic regression model was employed to integrate clinical， molecular， and TCM syndrome data to develop a CAG risk prediction model. Finally， network pharmacology analysis was conducted on spleen-invigorating herbs （Astragali Radix， Atractylodis Macrocephalae Rhizoma， and Dioscorea Rhizoma） and blood-activating herbs （Hedyotis diffusa， Salviae Miltiorrhizae Radix et Rhizoma， and Curcumae Rhizoma） to identify overlapping targets between these herbs and differentially expressed genes between low-grade intraepithelial neoplasia （LGIN） and gastritis， thereby clarifying the role of spleen deficiency and blood stasis in CAG progression from a pharmacological perspective. ResultsHigh-risk CAG patients exhibited higher blood stasis scores （4.60±1.50，2.62±1.32， P<0.01）， progressive nuclear accumulation of β-catenin （A 0.28-0.53， P<0.01）， and an increased LGR5⁺/TFF2⁺ ratio （A 1.02-1.92， P<0.01）. Blood stasis scores were correlated with LGR5/TFF2 imbalance （P=0.03） and activation of the Wnt/β-catenin signaling pathway （CTNNB1 increase， log₂=0.78）. The integrated prediction model （blood stasis score≥5 + β-catenin>0.38 + LGR5/TFF2>1.5） outperformed a pure biomarker approach ［Area Under the Curve （AUC） 0.92，0.89， ΔAUC=0.03， P=0.02］. Moreover， network pharmacology revealed 66 overlapping targets between spleen-invigorating/blood-activating herbs and LGIN， which were functionally enriched in mucosal repair and anti-oxidative stress， and negatively correlated with the Wnt/β-catenin signaling pathway （P<0.01）. ConclusionThis study developed an integrated risk prediction model for CAG by combining TCM spleen deficiency and blood stasis syndromes with gastric stem cell molecular markers. Furthermore， it proposed for the first time the "blood stasis-Wnt/β-catenin-stem cell axis" hypothesis， preliminarily elucidating that spleen deficiency and blood stasis may exacerbate gastric stem cell dysregulation and promote malignant transformation of CAG through hypoxia-induced Wnt activation. This provides a theoretical foundation and a translational tool for risk stratification and multi-target TCM intervention in CAG.

ObjectiveTo analyze the epidemiological characteristics of long COVID and to investigate its main influencing factors by examining individuals infected with SARS-CoV-2 between March and June 2022 in two communities in Shanghai, to lay the foundation for further research on the mechanism and clinical treatment of long COVID, and to provide the basis for the development of inexpensive, convenient, and feasible prevention and intervention strategies. MethodsA cross-sectional study was conducted, enrolling 6 410 individuals infected with SARS-CoV-2. Data were collected through a questionnaire survey. The incidence and common symptoms of long COVID were analyzed, along with their associations with demographic characteristics, medical history, and behavioral factors. A logistic regression model was used to identify the major factors associated with the development of long COVID symptoms. ResultsThe overall incidence rate of long COVID among the study population was 13.9%. The most commonly reported symptoms included fatigue (65.1%), attention disorders (23.1%), and cough (16.9%). The analysis showed that having underlying chronic diseases (OR=2.580, 95%CI: 2.165‒3.074), a history of allergies (OR=1.418, 95%CI: 1.003‒1.971), current smoking (OR=1.461, 95%CI: 1.013‒2.079), ever smoking (OR=2.462, 95%CI: 1.687‒3.551), a greater number of symptoms during the acute phase [1 symptom (OR=1.778, 95%CI: 1.459‒2.162), 2 symptoms (OR=2.749, 95%CI: 2.209‒3.409), ≥3 symptoms (OR=7.792, 95%CI: 6.333‒9.593)] and aggravated symptoms during the acute phase (OR=1.082, 95%CI: 1.070‒1.094) were factors associated with a higher risk of developing long COVID symptoms. Additionally, individuals who had consumed alcohol in the past year (OR=1.914, 95%CI: 1.344‒2.684) were more prone to objective long COVID symptoms. Among individuals under 50 years of age, females (OR=1.427, 95%CI: 1.052‒1.943) were more likely to develop objective long COVID symptoms. ConclusionThis study has identified the diversity of long COVID symptoms, which involve multiple organs and systems, including fatigue, attention disorders, cough, and joint pain. It has also revealed associations between long COVID and various demographic factors (e.g., age, gender), personal medical history (e.g., underlying chronic diseases, history of allergies), acute-phase characteristics (e.g., number and severity of symptoms), and behavioral factors (e.g., smoking, alcohol consumption). These findings highlight the need for further research and ongoing surveillance of long COVID and may inform the development of more targeted health management strategies for specific populations.

High mobility group box 1 (HMGB1), when released extracellularly, plays a pivotal role in the development of spinal cord synapses and exacerbates autoimmune diseases within the central nervous system. In experimental autoimmune encephalomyelitis (EAE), a condition that models multiple sclerosis, the levels of extracellular HMGB1 and interleukin-33 (IL-33) have been found to be inversely correlated. However, the mechanism by which IL-33 deficiency enhances HMGB1 release during EAE remains elusive. Our study elucidates a potential signaling pathway whereby the absence of IL-33 leads to increased binding of P300/CBP-associated factor with HMGB1 in the nuclei of astrocytes, upregulating HMGB1 acetylation and promoting its release from astrocyte nuclei in the spinal cord of EAE mice. Conversely, the addition of IL-33 counteracts the TNF-α-induced increase in HMGB1 and acetylated HMGB1 levels in primary astrocytes. These findings underscore the potential of IL-33-associated signaling pathways as a therapeutic target for EAE treatment.
Animals ; Encephalomyelitis, Autoimmune, Experimental/metabolism* ; Astrocytes/metabolism* ; Interleukin-33/metabolism* ; HMGB1 Protein/metabolism* ; Acetylation ; Mice, Knockout ; Mice, Inbred C57BL ; p300-CBP Transcription Factors/metabolism* ; Mice ; Spinal Cord/metabolism* ; Cells, Cultured ; Female ; Signal Transduction

Astragali Radix (AR), a traditional Chinese medicine (TCM), has demonstrated therapeutic efficacy against various diseases, including cardiovascular conditions, over centuries of use. While doxorubicin serves as an effective chemotherapeutic agent against multiple cancers, its clinical application remains constrained by significant cardiotoxicity. Research has indicated that AR exhibits protective properties against doxorubicin-induced cardiomyopathy (DIC); however, the specific bioactive components and underlying mechanisms responsible for this therapeutic effect remain incompletely understood. This investigation seeks to identify the protective bioactive components in AR against DIC and elucidate their mechanisms of action. Through network medicine analysis, astragaloside IV (AsIV) and formononetin (FMT) were identified as potential cardioprotective agents from 129 AR components. In vitro experiments using H9c2 rat cardiomyocytes revealed that the AsIV-FMT combination (AFC) effectively reduced doxorubicin-induced cell death in a dose-dependent manner, with optimal efficacy at a 1∶2 ratio. In vivo, AFC enhanced survival rates and improved cardiac function in both acute and chronic DIC mouse models. Additionally, AFC demonstrated cardiac protection while maintaining doxorubicin's anti-cancer efficacy in a breast cancer mouse model. Lipidomic and metabolomics analyses revealed that AFC normalized doxorubicin-induced lipid profile alterations, particularly by reducing fatty acid accumulation. Gene knockdown studies and inhibitor experiments in H9c2 cells demonstrated that AsIV and FMT upregulated peroxisome proliferator activated receptor γ coactivator 1α (PGC-1α) and PPARα, respectively, two key proteins involved in fatty acid metabolism. This research establishes AFC as a promising therapeutic approach for DIC, highlighting the significance of multi-target therapies derived from natural herbals in contemporary medicine.
Animals ; Doxorubicin/adverse effects* ; Saponins/administration & dosage* ; Isoflavones/pharmacology* ; Rats ; Cardiomyopathies/prevention & control* ; Mice ; Fatty Acids/metabolism* ; Myocytes, Cardiac/metabolism* ; Triterpenes/administration & dosage* ; Male ; Drugs, Chinese Herbal/administration & dosage* ; Humans ; Cardiotonic Agents/administration & dosage* ; Mice, Inbred C57BL ; Cell Line ; Astragalus Plant/chemistry* ; Astragalus propinquus

ObjectiveTo analyze the epidemiological characteristics and influencing factors of SARS-CoV-2 reinfection by conducting follow-up investigations among community residents who experienced their first SARS-CoV-2 infection between March and June 2022, so as to provide a scientific basis for predicting future epidemic trends and adjusting prevention and control strategies. MethodsA cohort study was conducted in Xuhui District, Shanghai. A total of 1 208 individuals with a documented primary SARS-CoV-2 infection between March and June 2022 were enrolled and followed-up longitudinally. Data were collected using structured questionnaire surveys to assess the reinfection rate, incidence density, and clinical manifestations of SARS-CoV-2 reinfection. A logistic regression model was used to analyze the influencing factors of SARS-CoV-2 reinfection. ResultsA total of 497 SARS-CoV-2 reinfection cases were observed among the 1 208 research subjects, with a reinfection rate of 41.14% and an incidence density of 0.63 cases per 1 000 person-days. The cumulative reinfection rates at 6, 9, 12, 15, and 18 months following the initial infection were 0.08%, 15.31%, 19.04%, 33.53%, and 38.25%, respectively. Compared with the primary infection, reinfection was more likely to be symptomatic, with a greater severity of fever, dry cough, sore throat, and runny nose. Being female, younger age, and symptom duration ≥7 days during the primary infection were identified as influencing factors for SARS-CoV-2 reinfection, while a higher socioeconomic status can reduce the risk of SARS-CoV-2 reinfection. ConclusionSARS-CoV-2 reinfection is relatively common and often symptomatic. Age, gender, income level, and the duration of symptoms during the primary infection are identified as infuencing factors for SARS-CoV-2 reinfection. Continuous monitoring of reinfection in the population is recommended, along with the development of effective strategies to mitigate the impact of reinfection.