Ephedra can improve chronic obstructive pulmonary disease (COPD). Pseudoephedrine (PSE) is a main active ingredients of ephedra. It has anti-inflammatory pharmacological properties. Its effect on COPD and its possible mechanism have not been elucidated. The COPD rat model was constructed by systemic cigarette smoke exposure combined with lipopolysaccharide (LPS) tracheal instillation. BEAS-2B cells were treated using cigarette smoke extract; PSE was administered for treatment. The senescence level of rat lung tissue and bronchial epithelial cells was evaluated through staining, immunofluorescence and western blot.The mitochondrial damage of rats and BEAS-2B cells was detected by transmission electron microscopy, JC-1 probe, MitoSOX Red probe and kits. In addition, the lung function indexes of rats were detected by animal lung function analysis system. Hematoxylin and eosin (HE) staining analyzed the pathological damage. Enzyme-linked immunosorbent assay (ELISA), kit and immunohistochemistry were used to evaluate inflammation and oxidative stress. Western blot detected phosphoinositide 3-kinase/ protein kinase B/mammalian target of rapamycin (PI3K/AKT/mTOR) axis protein. PSE significantly reduced senescent cells, apoptosis rate and P21 level in rat lung tissue and BEAS-2B cells, significantly increased the levels of zonula occludens-1 (ZO-1) and adenosine triphosphate (ATP), restored mitochondrial structure, and visible mitochondrial cristae. It also inhibited reactive oxygen species (ROS) levels and mitochondrial excessive fission. PSE also significantly improved lung function in rats, increased mean alveolar number (MAN), reduced pro-inflammatory factors, and increased superoxide dismutase (SOD) levels. PSE markedly suppressed p-p85, p-AKT and p-mTOR protein expressions. In addition, the PI3K/AKT agonist 740Y-P weakened the effect of PSE on improving COPD. PSE inhibited PI3K/AKT/mTOR axis, improved lung tissue senescence, mitochondrial dysfunction and pathological damage, and reduced airway inflammation and oxidative stress damage, thereby alleviating COPD.

Primary osteoporosis （POP） is a metabolic bone disease characterized by reduced bone mass， degenerated bone microstructure， and increased bone fragility. Its pathogenesis involves the interaction of multiple factors such as genetics， aging， endocrine， and environment， which remain incompletely elucidated. Mitochondrial dysfunction can lead to insufficient adenosine triphosphate （ATP） production and abnormal accumulation of reactive oxygen species （ROS）， activating oxidative stress and inflammation pathways， thereby inhibiting osteoblast differentiation and promoting osteoclast activation， exacerbating the negative bone metabolism balance in POP. Mitochondrial autophagy， as the core mechanism of mitochondrial quality control， selectively identifies and clears damaged mitochondria to effectively reduce ROS accumulation and energy metabolism disorders， thus maintaining the balance between osteoblast and osteoclast differentiation. It plays a critical role in maintaining bone homeostasis and the prevention and treatment of POP. The traditional Chinese medicine （TCM） theory of Qi transformation shares similarities with the functions of mitochondria in energy generation and substance conversion. The pathological state of Qi deficiency and stagnation may be associated with mitochondrial autophagy dysfunction， and the pathogenic characteristics of combined phlegm and stasis align with the metabolic waste accumulation induced by obstructed autophagy flow. This article explores the correlation of the theory of Qi deficiency and stagnation with mitochondrial autophagy and elucidates its potential role in the pathogenesis of POP. Additionally， considering the pathogenesis features of POP， which involve deficiency causing stagnation and a mixture of deficiency and excess， this article proposes a novel therapeutic approach： tonifying Qi to support the body and unblocking collaterals to resolve stagnation from the perspective of mitochondrial autophagy. This article aims to provide theoretical support and research insights for further exploration of TCM in the prevention and treatment of POP.

Primary osteoporosis （POP） is a metabolic bone disease characterized by reduced bone mass， degenerated bone microstructure， and increased bone fragility. Its pathogenesis involves the interaction of multiple factors such as genetics， aging， endocrine， and environment， which remain incompletely elucidated. Mitochondrial dysfunction can lead to insufficient adenosine triphosphate （ATP） production and abnormal accumulation of reactive oxygen species （ROS）， activating oxidative stress and inflammation pathways， thereby inhibiting osteoblast differentiation and promoting osteoclast activation， exacerbating the negative bone metabolism balance in POP. Mitochondrial autophagy， as the core mechanism of mitochondrial quality control， selectively identifies and clears damaged mitochondria to effectively reduce ROS accumulation and energy metabolism disorders， thus maintaining the balance between osteoblast and osteoclast differentiation. It plays a critical role in maintaining bone homeostasis and the prevention and treatment of POP. The traditional Chinese medicine （TCM） theory of Qi transformation shares similarities with the functions of mitochondria in energy generation and substance conversion. The pathological state of Qi deficiency and stagnation may be associated with mitochondrial autophagy dysfunction， and the pathogenic characteristics of combined phlegm and stasis align with the metabolic waste accumulation induced by obstructed autophagy flow. This article explores the correlation of the theory of Qi deficiency and stagnation with mitochondrial autophagy and elucidates its potential role in the pathogenesis of POP. Additionally， considering the pathogenesis features of POP， which involve deficiency causing stagnation and a mixture of deficiency and excess， this article proposes a novel therapeutic approach： tonifying Qi to support the body and unblocking collaterals to resolve stagnation from the perspective of mitochondrial autophagy. This article aims to provide theoretical support and research insights for further exploration of TCM in the prevention and treatment of POP.

Objective:To analyze clinical indicators and imaging data of hospitalized pneumonia patients and develop prediction models for length of hospital stay based on CT radiomics features and clinical indicators.Methods:Patients admitted to the First Clinical School of Hainan Medical University for pneumonia treatment between November 2020 and May 2024 were enrolled. Clinical data and CT imaging were collected, and radiomics features were extracted. Patients were divided into three groups based on the length of stay (<8 d, 8-28 d,>28 d, and poor prognosis). Three prediction models were constructed using logistic regression (LR): clinical features model, imaging features model and a combined clinical and imaging features model. The predictive performance of three models was evaluated using the area under the receiver operating characteristic (ROC) curve and DeLong test, followed by feature analysis. The Kappa test was used to compare the consistency of the overall classification.Results:A total of 343 subjects were included, with an average age of 61.46±20.98 years. The area under the curve (AUC) values of the combined model in different hospitalization duration classifications (<8 d, 8-28 d,>28 d, and poor prognosis) were 0.73, 0.65 and 0.78 in the training set, and 0.71, 0.65 and 0.76 in the validation set, respectively. The AUC values of the clinical feature model in different hospitalization duration classifications were 0.63, 0.64 and 0.73 in the training set, and 0.60, 0.52 and 0.63 in the validation set, respectively. The AUC values of the imaging feature model in different hospitalization duration classifications (<8 d, 8-28 d,>28 d, and poor prognosis) were 0.67, 0.66 and 0.73 in the training set, and 0.68, 0.54 and 0.66 in the validation set, respectively. The DeLong test results showed that the combined model outperformed other models in hospitalization duration classification (validation set AUC, all P<0.05, Bonferroni correction). Kappa test results showed that the combined model achieved the highest consistency between predicted classifications and actual hospitalization classifications ( K=0.615). Shape features, texture features and clinical features all contributed proportionally to the combined model. Conclusion:The combined model integrating radiomics features with clinical indicators can significantly enhance the predictive efficacy for the length of hospitalization in pneumonia patients.

Objective:To discuss the influence of the self-management ability of type 2 diabetic elderly patients, and provide a reference for patients′ initiative to formulate self-health management strategies.Methods:A total of 486 elderly patients with type 2 diabetes who were admitted to Yidu Central Hospital Affiliated to Shandong Second Medical University from January to June 2024 were selected by convenience sampling method. A cross-sectional survey was conducted using the General Information Questionnaire, Self-Perceived Aging Questionnaire, the Diabetes Self-Efficacy Scale, the Diabetes Self-Management Scale, and the Tilburg Frailty Index Scale. Descriptive analysis, single factor analysis and Pearson correlation analysis were performed using SPSS 25.0, while model fitting path, and mediation effect analyses were conducted using AMOS 28.0.Results:Among 486 elderly patients with type 2 diabetes mellitus, 217 were males and 269 were females. There were 262 patients aged 60-69 years, 189 patients aged 70-79 years, and 35 patients aged ≥80 years. The score of self-management ability was 28.45±7.97, the score of self-perceived aging was 51.98±6.40, the score of diabetes self-efficacy was 75.47±21.15, and the score of frailty was 6.65±3.17. The influencing factors of self-management ability include gender, age, education level, place of residence, living condition, exercise and chronic diseases, and the differences were statistically significant ( t values were -15.38 to 8.82, F=110.12, 70.82, 97.88, all P<0.05). Self-management ability and its different dimensions were negatively correlated with frailty and self-perceived aging ( r=-0.318, -0.821, both P<0.05), and positively correlated with self-efficacy ( r=0.780, P<0.05). The total effect of frailties on self-management ability was 0.60, and the direct effect was 0.12. Frailties could directly affect self-management ability, and indirectly affect self-management ability through the mediating effect of self-efficacy and self-perceived aging. Conclusions:The study concluded that the self-management ability of elderly patients with type 2 diabetes was low. Therefore, measures should be implemented to reduce frailty rates, improve self-efficacy levels, and actively address aging-related issues to enhance their overall management abilities.

Objective:To analyze clinical indicators and imaging data of hospitalized pneumonia patients and develop prediction models for length of hospital stay based on CT radiomics features and clinical indicators.Methods:Patients admitted to the First Clinical School of Hainan Medical University for pneumonia treatment between November 2020 and May 2024 were enrolled. Clinical data and CT imaging were collected, and radiomics features were extracted. Patients were divided into three groups based on the length of stay (<8 d, 8-28 d,>28 d, and poor prognosis). Three prediction models were constructed using logistic regression (LR): clinical features model, imaging features model and a combined clinical and imaging features model. The predictive performance of three models was evaluated using the area under the receiver operating characteristic (ROC) curve and DeLong test, followed by feature analysis. The Kappa test was used to compare the consistency of the overall classification.Results:A total of 343 subjects were included, with an average age of 61.46±20.98 years. The area under the curve (AUC) values of the combined model in different hospitalization duration classifications (<8 d, 8-28 d,>28 d, and poor prognosis) were 0.73, 0.65 and 0.78 in the training set, and 0.71, 0.65 and 0.76 in the validation set, respectively. The AUC values of the clinical feature model in different hospitalization duration classifications were 0.63, 0.64 and 0.73 in the training set, and 0.60, 0.52 and 0.63 in the validation set, respectively. The AUC values of the imaging feature model in different hospitalization duration classifications (<8 d, 8-28 d,>28 d, and poor prognosis) were 0.67, 0.66 and 0.73 in the training set, and 0.68, 0.54 and 0.66 in the validation set, respectively. The DeLong test results showed that the combined model outperformed other models in hospitalization duration classification (validation set AUC, all P<0.05, Bonferroni correction). Kappa test results showed that the combined model achieved the highest consistency between predicted classifications and actual hospitalization classifications ( K=0.615). Shape features, texture features and clinical features all contributed proportionally to the combined model. Conclusion:The combined model integrating radiomics features with clinical indicators can significantly enhance the predictive efficacy for the length of hospitalization in pneumonia patients.

Objective:To analyze the epidemic characteristics and changing trends of human brucellosis in Tangshan City, providing a basis for brucellosis prevention and control.Methods:Brucellosis surveillance data and historical surveillance data of Tangshan City reported from 2007 to 2022 in China Disease Prevention and Control Information System were collected. A descriptive analysis using retrospective methods was conducted to summarize the epidemic situation, distribution of three (population, time, region) and pathogenic monitoring results of brucellosis. Joinpoint regression was used to analyze the trend of brucellosis incidence.Results:From 2007 to 2022, a total of 3 949 cases of brucellosis were reported in Tangshan City, with the annual incidence ranging from 0.24 per 100 000 to 7.17 per 100 000, showing an upward trend (AAPC = 18.42%, 95% CI: 10.16% - 24.67%, P < 0.001). The affected population was mainly composed of those aged 40 - 69 years old (3 582 cases, accounting for 90.71%), male (2 957 cases, accounting for 74.88%), and farmers (3 432 cases, accounting for 86.91%). The onset time was mainly concentrated from March to August. The average annual incidence rates of brucellosis in the eastern region, western region and the central urban area were 5.31 per 100 000, 1.84 per 100 000, and 1.42 per 100 000, respectively. There were statistically significant differences among different regions (χ 2 = 1 049.17, P < 0.001). Pathogenic monitoring results revealed that 12 Brucella strains were isolated, all identified as sheep type 3. Conclusions:The incidence of brucellosis in Tangshan City is on the rise from 2007 to 2022. The incidence is mainly among middle-aged and elderly male famers, and it shows s distinct seasonal pattern. It is suggested to strengthen the prevention and control of brucellosis in the whole city.

Objective To examine the expression levels of inflammatory factors,including IL-6,IL-10,MMP-9,IL-17A,and LDH,in the cerebrospinal fluid(CSF)of patients with spontaneous intracerebral hemor-rhage(sICH),and to investigate their associations with disease severity and clinical outcomes.Methods A total of 168 patients with sICH admitted to Tangshan GongRen Hospital between January 2023 and January 2025 were prospectively enrolled as the study group,while 30 non-sICH patients who underwent lumbar puncture during the same period served as the control group.Levels of inflammatory factors in CSF were compared between the two groups.Spearman's rank correlation analysis was performed to assess the association between inflammatory factor levels and clinical severity in sICH patients.Binary logistic regression analysis was conducted to identify independent predictors of sICH prognosis.Receiver operating characteristic(ROC)curve analysis was employed to evaluate the prognostic value of these inflammatory factors in sICH.Results The levels of IL-6,IL-10,MMP-9,IL-17A,and LDH in the CSF of patients with sICH were significantly higher than those in non-sICH patients(all P<0.05).Furthermore,among sICH patients,these biomarker levels exhibited a graded increase according to disease severity:severe>moderate>mild(all P<0.05).Spearman correlation analysis revealed significant positive correlations between CSF levels of IL-6,IL-10,MMP-9,IL-17A,and LDH and the NIHSS scores,with correlation coefficients(r)of 0.686,0.553,0.685,0.593,and 0.695,respectively(all P<0.05).When comparing the prognoses of sICH patients,hematoma size,NIHSS score,and CSF levels of IL-6,IL-10,MMP-9,IL-17A,and LDH were significantly higher in the deceased group than in the survival group(P<0.05),whereas ApoA1 levels were lower in the deceased group(P<0.05).Logistic regression analysis revealed that hematoma size,NIHSS score,and elevated CSF levels of IL-6,IL-10,MMP-9,IL-17A,and LDH were independent risk factors for mortality in sICH patients(P<0.05).ROC curve analysis showed that the AUC values for CSF IL-6,IL-10,MMP-9,IL-17A,and LDH in predicting sICH prognosis were 0.794,0.754,0.670,0.717,and 0.683,respectively.Notably,the combination of CSF inflammatory markers with hematoma size and NIHSS score yielded an AUC of 0.993,demonstrating significantly greater predictive accuracy than CSF inflammatory markers alone(P<0.05).Conclusions The levels of inflammatory factors in the CSF,including IL-6,IL-10,MMP-9,IL-17A,and LDH,were elevated in patients with sICH and positively correlated with disease severity.Combining CSF inflammatory markers with the NIHSS score and hematoma size improved the predictive accuracy for sICH prognosis.

With the aging of the global population， osteoporosis （OP） is becoming a major public health concern worldwide. Currently， the commonly used anti-osteoporosis drugs in clinical practice have limited application due to many side effects. Therefore， developing more effective and safer strategies for the prevention and treatment of OP has become a research focus in this field. In recent years， the clinical efficacy and advantages of traditional Chinese medicine （TCM） in treating OP have been gradually recognized. With the deepening pharmacological research on TCM for OP prevention and treatment， it is found that the active ingredients of Scutellaria baicalensis can promote bone formation or inhibit bone resorption by regulating signaling pathways， including Wnt/β-catenin， osteoprotegerin （OB）/receptor activator of nuclear factor-κB ligand （RANKL）/RANK （OPG/RANKL/RANK）， and bone morphogenetic protein 2 （BMP-2）/Smad， mitogen-activated protein kinase （MAPK）， and mammalian target of rapamycin （mTOR）. However， existing research on active ingredients of S. baicalensis for OP treatment is scattered， making it difficult for scholars to gain a systematic understanding of its research and application. This review summarized the literature on the active ingredients of S. baicalensis in OP treatment worldwide， clarified their mechanisms of action， and explored some issues， providing references for the integration of TCM in OP prevention and treatment.

With the aging of the global population， osteoporosis （OP） is becoming a major public health concern worldwide. Currently， the commonly used anti-osteoporosis drugs in clinical practice have limited application due to many side effects. Therefore， developing more effective and safer strategies for the prevention and treatment of OP has become a research focus in this field. In recent years， the clinical efficacy and advantages of traditional Chinese medicine （TCM） in treating OP have been gradually recognized. With the deepening pharmacological research on TCM for OP prevention and treatment， it is found that the active ingredients of Scutellaria baicalensis can promote bone formation or inhibit bone resorption by regulating signaling pathways， including Wnt/β-catenin， osteoprotegerin （OB）/receptor activator of nuclear factor-κB ligand （RANKL）/RANK （OPG/RANKL/RANK）， and bone morphogenetic protein 2 （BMP-2）/Smad， mitogen-activated protein kinase （MAPK）， and mammalian target of rapamycin （mTOR）. However， existing research on active ingredients of S. baicalensis for OP treatment is scattered， making it difficult for scholars to gain a systematic understanding of its research and application. This review summarized the literature on the active ingredients of S. baicalensis in OP treatment worldwide， clarified their mechanisms of action， and explored some issues， providing references for the integration of TCM in OP prevention and treatment.