The study focuses on the concept of multifunctional traditional Chinese medicine (TCM) formulas and aims to evaluate the efficacy of the classical formula Xiaoyao San (逍遥散). Study employs the integrated evidence chain (Eff-iEC) method to organize, integrate, and evaluate its therapeutic efficacy in treating different diseases with the same therapy, and to investigate the feasibility of using Eff-iEC to evaluate the multifunctionality of TCM formulas. The evaluation covered Xiaoyao San's therapeutic effects on depression, premenstrual syndrome, chronic hepatitis, irritable bowel syndrome, dyspepsia, and menopausal syndrome. Concurrently, the Grading of Recommendations, Assessment, Development, and Evaluation (GRADE) system was used for evaluation, and authoritative medical documents were incorporated to corroborate the recognition of Xiaoyao San within the medical community. Depression and menopausal syndrome received higher ratings than other conditions in the Eff-iEC, GRADE, and Medical Community Recognition assessments. The Eff-iEC evidence grade for Xiaoyao San was rated as "High" or above for chronic hepatitis, irritable bowel syndrome, dyspepsia, and menopausal syndrome. Premenstrual syndrome received a "Moderate ⁺" rating. The GRADE evidence level was "Low-〇〇⨁⨁" for depression, premenstrual syndrome, and chronic hepatitis; "Moderate-〇⨁⨁⨁" for dyspepsia and menopausal syndrome; and "Very Low-〇〇〇⨁" for irritable bowel syndrome. Depression and menopausal syndrome had the highest inclusion frequency, appearing in all 4 categories. Premenstrual syndrome, chronic hepatitis, and dyspepsia are not recommended in Western medical guidelines, but they are included in TCM guidelines, the China National Basic Medical Insurance Drug List, and the China National Essential Drug List. Irritable bowel syndrome appears only in the China National Basic Medical Insurance Drug List and China National Essential Drug List. The evaluation results obtained using the Eff-iEC method align with Medical Community Recognition, providing an objective and comprehensive assessment of Xiaoyao San's efficacy. The findings suggest that Xiaoyao San has strong evidence for treating depression and menopausal syndrome. However, further experimental and clinical trials are needed to assess its efficacy in treating premenstrual syndrome, chronic hepatitis, irritable bowel syndrome, and dyspepsia. These results support the clinical efficacy and rational use of Xiaoyao San, expand the application scope of the Eff-iEC method, and offer valuable insights and methodological references for the comparative evaluation of multifunctional TCM formulas.

Background Pneumoconiosis remains a critical occupational disease in China. As a major industrial province, Hebei historically faced severe challenges regarding this condition. The 1986 national epidemiological survey ranked Hebei sixth in reported pneumoconiosis cases nationwide. Objective To analyze 76 years of pneumoconiosis data (1949–2024) in Hebei Province to provide evidence-based support for prevention and control strategies. Methods Occupational pneumoconiosis cases diagnosed in Hebei from 1949 to 2024 were included. Five-year intervals were used to analyze incidence composition, dust exposure duration, age at first diagnosis, and age at death. A hybrid model, integrating autoregressive integrated moving average (ARIMA) with generalized regression neural network (GRNN), was employed to predict case numbers for the 2025−2030 period. Results A total of 36107 cases of pneumoconiosis were recorded (2.10% female) in Hebei from 1949 to 2024. Stages I, II, and III accounted for 77.35%, 16.45%, and 6.20%, respectively. Silicosis (55.60%), coal workers’ pneumoconiosis (27.24%), and pottery workers’ pneumoconiosis (8.88%) were the predominant types. Observed trends included a shortened dust exposure duration [silicosis: (12.78±7.063) years in 2020–2024] and an increasing age at first diagnosis [(54.01±7.499) years in 2020–2024]. The case-fatality rate was 14.84%, with a rising age at death [(82.26±9.632) years in 2015–2019]. Three incidence peaks (1963, 1984, and 2014) correlated with national policies and industrialization phases. The number of pneumoconiosis cases showed a decreasing trend from 2015 to 2024. Chengde and Tangshan were identified as current high-risk areas. The ARIMA-GRNN model projected annual cases between 416 and 429 during 2025–2030. Conclusion In the past decade，the number of pneumoconiosis cases in Hebei Province had shown a decreasing trend, it is projected to plateau with no significant decline over the next five years. Furthermore, challenges such as the proportion of silicosis remaining high and shortened dust exposure duration remain severe. It is recommended to focus on key regions like Chengde (ore mining) and Tangshan (ceramics industry). A comprehensive strategy integrating stricter regulation, technological controls, model innovation, and targeted interventions should be implemented to achieve a further substantial reduction in pneumoconiosis incidence.

Background Pneumoconiosis remains a critical occupational disease in China. As a major industrial province, Hebei historically faced severe challenges regarding this condition. The 1986 national epidemiological survey ranked Hebei sixth in reported pneumoconiosis cases nationwide. Objective To analyze 76 years of pneumoconiosis data (1949–2024) in Hebei Province to provide evidence-based support for prevention and control strategies. Methods Occupational pneumoconiosis cases diagnosed in Hebei from 1949 to 2024 were included. Five-year intervals were used to analyze incidence composition, dust exposure duration, age at first diagnosis, and age at death. A hybrid model, integrating autoregressive integrated moving average (ARIMA) with generalized regression neural network (GRNN), was employed to predict case numbers for the 2025−2030 period. Results A total of 36107 cases of pneumoconiosis were recorded (2.10% female) in Hebei from 1949 to 2024. Stages I, II, and III accounted for 77.35%, 16.45%, and 6.20%, respectively. Silicosis (55.60%), coal workers’ pneumoconiosis (27.24%), and pottery workers’ pneumoconiosis (8.88%) were the predominant types. Observed trends included a shortened dust exposure duration [silicosis: (12.78±7.063) years in 2020–2024] and an increasing age at first diagnosis [(54.01±7.499) years in 2020–2024]. The case-fatality rate was 14.84%, with a rising age at death [(82.26±9.632) years in 2015–2019]. Three incidence peaks (1963, 1984, and 2014) correlated with national policies and industrialization phases. The number of pneumoconiosis cases showed a decreasing trend from 2015 to 2024. Chengde and Tangshan were identified as current high-risk areas. The ARIMA-GRNN model projected annual cases between 416 and 429 during 2025–2030. Conclusion In the past decade，the number of pneumoconiosis cases in Hebei Province had shown a decreasing trend, it is projected to plateau with no significant decline over the next five years. Furthermore, challenges such as the proportion of silicosis remaining high and shortened dust exposure duration remain severe. It is recommended to focus on key regions like Chengde (ore mining) and Tangshan (ceramics industry). A comprehensive strategy integrating stricter regulation, technological controls, model innovation, and targeted interventions should be implemented to achieve a further substantial reduction in pneumoconiosis incidence.

ObjectiveTo investigate the protective effect and mechanism of action of flavonoid combination of Alpiniae Officinarum Rhizoma （A. officinarum） against Helicobacter pylori （H. pylori） gastritis in mice. MethodsAfter acclimatization for one week， 56 SPF-grade healthy C57BL/6J mice were gavaged with mixed antibiotics for three consecutive days. They were randomly divided into a normal group， model group， positive drug group （triple therapy group）， and low- and high-dose groups （100， 200 mg·kg^-1） of flavonoid combination of A. officinarum. The H. pylori gastritis mice model was established by gavage with H. pylori bacterial suspension in each group except for the normal group. After successful modeling， mice were administrated with corresponding drugs once a day for two weeks. Hematoxylin-eosin （HE） staining was used to observe the pathological changes in gastric tissue. Rapid urease test paper was used to detect the positive rate of H. pylori. Silver staining was used to observe the H. pylori adherence on the surface of gastric tissue. Immunohistochemistry was used to detect the protein expression of interleukin-8 （IL）-8 and myeloid differentiation factor （MyD88） in gastric tissue. The serum levels of IL-6， tumor necrosis factor-α （TNF-α）， IL-8， and IL-1β were detected by enzyme-linked immunosorbent assay （ELISA）. The expressions of phosphatidylinositol 3-kinase/protein kinase B （PI3K/Akt） protein were detected by Western blot. ResultsCompared with those in the normal group， mice in the model group had lower gastric weight coefficients， higher pH of gastric juice， 100% H. pylori infection rate， and significantly changed gastric histopathology. The expressions of IL-8 and MyD88 proteins in the gastric tissue of mice in the model group were significantly elevated， and the serum levels of inflammatory factors IL-6， TNF-α， IL-8， and IL-1β were significantly up-regulated in mice. Compared with that in the model group， the gastric weight coefficient of mice in each treatment group of the flavonoid combinations of A. officinarum was elevated （P<0.01）， and the pH of gastric juice was reduced （P<0.01）. The infection rate of H. pylori was reduced. The expressions of IL-8 and MyD88 proteins in the gastric tissue of mice in the treatment groups were significantly reduced （P<0.01）， and the serum levels of inflammatory factors IL-6， TNF-α， IL-8， and IL-1β were significantly reduced in a dose-dependent manner （P<0.01）. The flavonoid combinations of A. officinarum down-regulated the expression of PI3K and Akt proteins in H. pylori gastritis-infected cells （P<0.01）. ConclusionThe protective effect of flavonoid combinations of A. officinarum against H. pylori gastritis is associated with the inhibition of H. pylori infection rate and regulation of PI3K/Akt signaling pathway， resulting in inhibiting the release of inflammatory factors.

Xanthine oxidase (XO) is an important therapeutic target for the treatment of hyperuricemia and gout. Based on the previously identified potent XO inhibitor 1, seventeen oxadiazoles and their ring-opening analogues were designed and synthesized via the bioisostere replacement strategy. Among them, compounds 2l, 2n, and 3b showed obvious XO inhibitory activity at the concentration of 10 μmol·L^-1, and compound 3b exhibited an IC₅₀ value of 1.45 μmol·L^-1.

Potassium-calcium activates channel subfamily N member 3(KCNN3/SK3/KCa2.3)is in-volved in regulating cellular calcium signaling,muscle contraction and neurotransmitter release.Dysregu-lation of the KCNN3 channel is associated with the development of various tumors.We use bioinformatics analysis to identify whether KCNN3 regulates the occurrence and development of stomach adenocarcinoma(STAD)as a prognostic target.By analyzing the Human Protein Atlas(HPA)database and The Cancer Genome Atlas(TCGA)database,we found that the protein and mRNA levels of KCNN3 were dramatic-ally reduced in STAD,and TCGA database showed that KCNN3 significantly correlated with the prognosis and clinical features of STAD.In addition,we found that high expression of KCNN3 in STAD reduced the IC50 of several drugs in STAD cells,suggesting that high expression of KCNN3 correlated with the drug sensitivity of STAD.To investigate the underlying biological mechanism,we identified a potential KCNN3 interaction factor,tumor necrosis factor receptor superfamily member 7(CD27/TNFRSF7),which is expressed at low levels in STAD.RT-qPCR and Western blotting confirmed that KCNN3 and CD27 positively correlated with each other at protein and mRNA levels,and co-immunoprecipitation and immunofluorescence experiments confirmed that the two proteins interact and colocalize in the cytoplasm.Moreover,we confirmed the inhibitory effect of KCNN3 on the proliferation,migration and invasion of hu-man STAD cells in vitro and in vivo through subcutaneous tumorigenesis and cellular experiments.Fur-thermore,GO/KEGG enrichment analysis showed that KCNN3 was enriched in signaling pathways regula-ting the immune response and calcium or metal ion transport.Lastly,we verified through cell co-culture,RT-qPCR and CCK8 assays that high expression of KCNN3 can promote the increase of T cell activating factor and the killing effect of T cells on STAD cells.Therefore,our results suggest that KCNN3 is a po-tential inhibitory factor affecting the occurrence and progression of STAD.

OBJECTIVE: This study examines the sequential mediating roles of body pain and self-reported health in the association between sleep duration and self-reported life satisfaction among elderly Chinese adults. METHODS: Data from the fifth wave of the China Health and Retirement Longitudinal Survey (CHARLS) were used to analyse the relationships between sleep duration and body pain, self-reported health, and life satisfaction through logistic regression and Restricted Cubic Spline (RCS) analyses. The sequential mediation effects of body pain and self-reported health status were examined via chain mediation analysis. RESULTS: Logistic regression analysis showed that sleeping fewer than 6 hours or 6-7 hours was linked to higher risks of body pain, poor health, and dissatisfaction with life compared to sleeping 7-8 hours (all P < 0.05). Additionally, those sleeping more than 9 hours also had increased risks of poor health and dissatisfaction with life compared to those sleeping 7-8 hours (all P < 0.05). Chain mediation analysis showed that body pain and self-reported health status sequentially mediated 46.15% of the association between sleep duration and life satisfaction. CONCLUSION Body pain and self-reported health may shape the relationship between sleep duration and life satisfaction in elderly Chinese adults.
Humans ; Male ; Female ; Aged ; Personal Satisfaction ; Sleep ; Health Status ; Self Report ; China ; Middle Aged ; Longitudinal Studies ; Pain/psychology* ; Sleep Duration

Objective:To construct a predictive model for mortality in patients with multiple trauma combined with thoracic injuries and evaluate its predictive value.Methods:A retrospective cohort study was conducted to analyze the clinical data of 184 patients with multiple trauma combined with thoracic injuries admitted to the International Zhuang Medicine Hospital Affiliated to Guangxi University of Chinese Medicine from April 2019 to December 2023, including 129 males and 55 females, aged 19-85 years [(46.1±13.7)years]. According to the prognostic outcomes at 3-month follow-up after discharge, the patients were divided into survival group ( n=145) and death group ( n=39). Data were recorded in both groups at admission, including gender, age, and cause of injury, laboratory tests such as systolic blood pressure, oxygen saturation (SaO 2), hemoglobin (Hb), neutrophil-to-lymphocyte ratio (NLR), and lactate, combined injuries such as the number of combined injuries, number of rib fracture, bilateral rib fracture, first-rib fracture, sternum fracture, thoracic vertebral fracture, bilateral pulmonary contusion, bilateral pneumothorax, subarachnoid hemorrhage, subdural hematoma, epidural hematoma, skull fracture, skull base fracture, cervical vertebral fracture, brain herniation, cerebral contusion, lumbar vertebral fracture, pelvic and abdominal cavity hematoma, liver injury, kidney injury, spleen injury, clavicle fracture, scapular fracture, femoral fracture, and pelvic fracture, and injury scores such as shock index (SI), modified shock index (MSI), injury severity score (ISS), revised trauma score (RTS), Glasgow coma score (GCS), and thoracic trauma severity (TTS) score. Univariate binary logistic regression analysis was used to screen for risk factors of death in patients with multiple trauma combined with thoracic injuries. LASSO regression and multivariate logistic regression analysis were employed to identify predictive variables and independent risk factors for mortality in those patients and to construct a regression equation. A nomogram prediction model based on the regression equation was developed using R language. Receiver operating characteristic (ROC) curves were plotted to evaluate the discrimination of the model. The ROC curves were internally validated using the Bootstrap method with 1 000 resamples. The calibration of the model was assessed using the Hosmer-Lemeshow (H-L) goodness-of-fit test. The clinical application value of the model was evaluated using decision curve analysis (DCA) and clinical impact curve (CIC) analysis. Results:There were statistically significant differences between the survival group and the death group in systolic blood pressure, SaO 2, NLR, lactate, number of combined injuries, subarachnoid hemorrhage, subdural hematoma, skull fracture, skull base fracture, brain herniation, liver injury, SI, MSI, ISS, RTS, GCS, and TTS ( P<0.05 or 0.01). The results of the univariate binary logistic regression analysis showed that the above-mentioned related variables except for systolic blood pressure were all significantly associated with death in patients with multiple trauma combined with thoracic injuries ( P<0.05 or 0.01). Five predictive variables, TTS, GCS, brain herniation, ISS, and lactate were obtained in LASSO regression analysis. The results of the multivariate logistic regression analysis showed that GCS ( OR=0.70, 95% CI 0.58, 0.83), brain herniation ( OR=46.18, 95% CI 4.27, 499.26), TTS ( OR=1.71, 95% CI 1.30, 2.24), and lactate ( OR=1.35, 95% CI 1.01, 1.80) were independent risk factors for death in patients with multiple trauma combined with thoracic injuries ( P<0.05 or 0.01). Based on the aforementioned independent risk factors, a regression formula was constructed as follows: P=e x/(1+e x), with the x=-0.36×"GCS"+3.83×"brain herniation"+0.53×"TTS"+0.30×"lactate levels"-11.03. The area under the ROC curve (AUC) of the predictive model for mortality in patients with multiple trauma combined with thoracic injuries based on the equation was 0.97 (95% CI 0.93, 1.00). The AUC was internally validated using the Bootstrap method with 1 000 samples, resulting in an AUC of 0.97 (95% CI 0.91, 1.00). The results of the H-L goodness-of-fit test showed that the bias-corrected calibration curve of the model was in good consistence with the actual curve and both of them were close to the ideal curve. In the evaluation of the clinical application value of the predictive model, the DCA results showed that the predictive model could achieve good clinical net benefit. The CIC results showed that when the threshold probability was greater than 0.7, the model-identified high-risk patients for death highly matched the patients who actually died. Conclusion:The predictive model for mortality in patients with multiple trauma combined with thoracic injuries based on GCS, brain herniation, TTS, and lactate has good predictive performance and clinical application value.

Nonunion of osteoporotic vertebral fractures (OVF), predominantly affecting the elderly, can lead to intractable pain, vertebral collapse, progressive kyphotic deformity, and neurological impairment, significantly compromising patients′ quality of life. There exists considerable debate on diagnosis and management of OVF, encompassing key issues such as clinical diagnosis and staging criteria for nonunion, surgical indications and procedure selection, and postoperative rehabilitation planning. Currently, there lacks standardized clinical guideline and expert consensus on the diagnosis and management of OVF nonunion in China. To address this gap, Minimally Invasive Surgery Group of Chinese Orthopedic Association, Osteoporosis Committee of Chinese Association of Orthopedic Surgeons, Prevention and Rehabilitation Committee for Osteoporosis of Chinese Association of Rehabilitation Medicine and Minimally Invasive Orthopedic Surgery Branch of China Association for Geriatric Care jointly organized domestic experts in spinal surgery, endocrinology, and rehabilitation to formulate the Clinical guideline for the diagnosis and treatment for nonunion of osteoporotic vertebral fractures ( version 2025), based on existing literature and clinical experience and adhering to principles of scientific rigor and practicality. The guideline provided 13 evidence-based recommendations encompassing diagnosis and treatment of OVF nonunion, aiming to standardize its clinical management.

Objective To evaluate the application of rabbit liver cancer model in teaching interventional medicine for graduate students.Methods A total of 10 first-year master graduate students majoring in Radiological Imaging(Interventional Medicine).who were studying at Zhengzhou University of China,were enrolled in this study.The rabbit liver cancer model was used as the experimental teaching materials.The teaching contents included the establishment of rabbit liver cancer model,the interventional operation of rabbit liver cancer,the method of scientific research and teaching,the evaluation of the teaching effect,and the survey of student satisfaction.Results Under the guidance of teaching tutor,the success rate of VX2 rabbit liver cancer modeling performed by the 10 master graduate students majoring in interventional medicine was 100％,and the mean operational quality assessment score was(11.5±2.0)points.During the operation of interventional surgery,the success rate of femoral artery puncture was also 100％,and the mean score for each interventional operation was(11.8±2.3)points.The students'experimental designs were evaluated by the expert group,the results were as follows:2 cases were rated as excellent,7 cases were rated as good,and one case was rated as moderate.The degree of students'satisfaction with experimental teaching method was high,the specific scores of each item are as follows:the understanding of the rabbit liver cancer model was(4.80±0.40)points,the command of interventional technology was(4.60±0.49)points,and the quality and practicability of teaching materials was(4.90±0.30)points.Conclusion This teaching method of using rabbit liver cancer model experiment can improve the animal experiment ability,interventional operation ability and scientific research innovation ability of graduate students.Animal model teaching method is an innovation of teaching mode for graduate students majoring in interventional medicine.