Objective To establish and evaluate a mouse model of chronic obstructive pulmonary disease(COPD)induced by cigarette smoke(CS).Methods Forty BALB/c mice were divided randomly into a control group and a CS group.Mice in the CS group were subjected to passive smoking for 20 weeks and a COPD model was established.Morphological changes in the organs and lung,heart,liver,and kidney fibrosis were observed by hematoxylin-eosin(HE)and Masson staining.Lung,cardiac,and brain cognitive function were evaluated by pulmonary function testing,small-animal ultrasound,and Morris water maze trials.Tumor necrosis factor-α(TNF-α),interleukin(IL)-6 and IL-1β levels in lung and brain tissues were detected by ELISA.Liver and renal functions were measured by biochemical method.Results The alveolar septum was narrowed or broken in mice in the CS group,and the adjacent alveolar cavity was enlarged and fused,consistent with the pathological changes of COPD.Neuronal degeneration and necrosis were observed in the hippocampus,but there were no significant morphological changes in other organs.Masson staining showed no obvious fibrosis in the lung,heart,liver,or kidney in CS-group mice.The result of pulmonary function tests showed that the forced expiratory volume in 0.1 second/forced vital capacity(FEV 0.1/FVC)and dynamic compliance were significantly decreased in the CS group compared with the control group,while airway resistance was obviously increased.Cognitive impairment in mice in the CS group was confirmed in the Morris water maze trial.TNF-α,IL-6,and IL-1β levels in lung and brain tissues were higher in the CS group compared with the control group.There were no significant differences in cardiac,liver,and renal functions between the groups.Conclusions A mouse model of COPD can be established by CS exposure for 20 weeks.Lung histomorphology,lung function,brain cognitive function,and levels of inflammatory factors can be used as indicators to evaluate the success of the model.

Aim To investigate the intervention effect of Rehmannia radix water extract on bleomycin(BLM)-induced pulmonary fibrosis in mice combined with metabolomics and to reveal the potential mechanism,in order to provide new ideas for clinical treatment of pul-monary fibrosis.Methods Male C57BL/6N mice were randomly divided into the control group,model group,pirfenidone group(positive control,PFD,270 mg·kg-1),and low dose(DH-L,4.55 g·kg-1)group,medium dose(DH-M,9.1 g·kg-1)group and high dose(DH-H,18.2 g·kg-1)group of Rehman-nia.Except for the control group,BLM(5 mg·kg-1)was instilled into the trachea to establish the model of pulmonary fibrosis in the other groups.The survival rate,lung index and blood oxygen saturation of mice in each group were evaluated.HE and Masson staining were used to observe the pathological changes of lung tissue.WBP was used to detect lung function.Flow cytometry was used to detect the apoptosis of primary lung cells,ROS and immune cells.ELISA was used to detect the levels of fibrosis markers and inflammatory factors(α-SMA,collagen Ⅰ,collagen Ⅲ,TGF-β1,TNF-α,IL-1 β,and IL-6).Biochemical method was employed to detect the contents of GSH-Px,T-SOD and MDA.Liquid chromatograph mass spectrometer(LC-MS)metabolomics was used to analyze the changes of serum metabolic profile.Results Water extract of Re-hmannia significantly increased the survival rate,oxy-gen saturation and lung function of mice with pulmona-ry fibrosis,reduced the lung coefficient,ameliorated pathological damage and collagen deposition in lung tissue,reduced the levels of apoptosis and oxidative stress,and down-regulated the levels of inflammatory factors in lung tissue.It regulated the levels of metabo-lites such as bile acid metabolism,sphingolipid metabo-lism,and unsaturated fatty acid metabolism.Conclu-sions Water extract of Rehmannia inhibits lung injury and collagen deposition in mice with pulmonary fibrosis by inhibiting inflammatory response,which may be a-chieved by regulating the levels of inflammatory factors through the metabolic pathways of bile acid and sphin-golipid.

Objective:To explore the application effect of BOPPPS teaching model in the teaching of Food Safety Supervision and Management course.Methods:Students of two parallel classes majoring in the Food Quality and Safety of the same grade of a university in Liaoning Province were selected,and the traditional teaching model and BOPPPS teaching model were used for teaching practice respectively.The scores,teaching effect and satisfaction of two groups were compared.Results:The regular performance and total scores of the experimental group were significantly higher than those of the control group(P＜0.05).In terms of enhancing students'interest in food safety supervision,improving knowledge and skills,cultivating self-directed learning and teamwork abilities,strengthening the close connection between the course and real cases,and providing assistance for future career,the experimental group performed significantly better than the control group(P＜0.05).Moreover,the satisfaction of the experimental group was higher than that of the control group(P＜0.05).Conclusion:BOPPPS teaching model has a remarkable effect in the teaching of Food Safety Supervision and Management course,providing an effective approach for the teaching reform of this course.

The impact of Streptococcus pneumoniae coinfection on coronavirus disease 2019 (COVID-19) prognosis remains uncertain. We conducted a retrospective analysis of patients hospitalized with COVID-19 who underwent a pneumococcal urinary antigen (PUA) test to assess its clinical utility. Results showed that PUA-positive patients required more oxygen support, high-flow nasal cannula, and dexamethasone compared to PUA-negative patients.Furthermore, the significantly higher incidence of a National Early Warning Score ≥5 in the PUA-positive group (P<0.001) suggests that a positive PUA test is associated with a severe disease course. However, no significant difference in mortality was observed between the two groups, and antibiotics were used in almost all patients (96.2%). While the PUA test may help guide antibiotic use in COVID-19 patients, its interpretation should be approached with caution.

The impact of Streptococcus pneumoniae coinfection on coronavirus disease 2019 (COVID-19) prognosis remains uncertain. We conducted a retrospective analysis of patients hospitalized with COVID-19 who underwent a pneumococcal urinary antigen (PUA) test to assess its clinical utility. Results showed that PUA-positive patients required more oxygen support, high-flow nasal cannula, and dexamethasone compared to PUA-negative patients.Furthermore, the significantly higher incidence of a National Early Warning Score ≥5 in the PUA-positive group (P<0.001) suggests that a positive PUA test is associated with a severe disease course. However, no significant difference in mortality was observed between the two groups, and antibiotics were used in almost all patients (96.2%). While the PUA test may help guide antibiotic use in COVID-19 patients, its interpretation should be approached with caution.

The impact of Streptococcus pneumoniae coinfection on coronavirus disease 2019 (COVID-19) prognosis remains uncertain. We conducted a retrospective analysis of patients hospitalized with COVID-19 who underwent a pneumococcal urinary antigen (PUA) test to assess its clinical utility. Results showed that PUA-positive patients required more oxygen support, high-flow nasal cannula, and dexamethasone compared to PUA-negative patients.Furthermore, the significantly higher incidence of a National Early Warning Score ≥5 in the PUA-positive group (P<0.001) suggests that a positive PUA test is associated with a severe disease course. However, no significant difference in mortality was observed between the two groups, and antibiotics were used in almost all patients (96.2%). While the PUA test may help guide antibiotic use in COVID-19 patients, its interpretation should be approached with caution.

Objective To establish and evaluate a mouse model of chronic obstructive pulmonary disease(COPD)induced by cigarette smoke(CS).Methods Forty BALB/c mice were divided randomly into a control group and a CS group.Mice in the CS group were subjected to passive smoking for 20 weeks and a COPD model was established.Morphological changes in the organs and lung,heart,liver,and kidney fibrosis were observed by hematoxylin-eosin(HE)and Masson staining.Lung,cardiac,and brain cognitive function were evaluated by pulmonary function testing,small-animal ultrasound,and Morris water maze trials.Tumor necrosis factor-α(TNF-α),interleukin(IL)-6 and IL-1β levels in lung and brain tissues were detected by ELISA.Liver and renal functions were measured by biochemical method.Results The alveolar septum was narrowed or broken in mice in the CS group,and the adjacent alveolar cavity was enlarged and fused,consistent with the pathological changes of COPD.Neuronal degeneration and necrosis were observed in the hippocampus,but there were no significant morphological changes in other organs.Masson staining showed no obvious fibrosis in the lung,heart,liver,or kidney in CS-group mice.The result of pulmonary function tests showed that the forced expiratory volume in 0.1 second/forced vital capacity(FEV 0.1/FVC)and dynamic compliance were significantly decreased in the CS group compared with the control group,while airway resistance was obviously increased.Cognitive impairment in mice in the CS group was confirmed in the Morris water maze trial.TNF-α,IL-6,and IL-1β levels in lung and brain tissues were higher in the CS group compared with the control group.There were no significant differences in cardiac,liver,and renal functions between the groups.Conclusions A mouse model of COPD can be established by CS exposure for 20 weeks.Lung histomorphology,lung function,brain cognitive function,and levels of inflammatory factors can be used as indicators to evaluate the success of the model.

Aim To investigate the intervention effect of Rehmannia radix water extract on bleomycin(BLM)-induced pulmonary fibrosis in mice combined with metabolomics and to reveal the potential mechanism,in order to provide new ideas for clinical treatment of pul-monary fibrosis.Methods Male C57BL/6N mice were randomly divided into the control group,model group,pirfenidone group(positive control,PFD,270 mg·kg-1),and low dose(DH-L,4.55 g·kg-1)group,medium dose(DH-M,9.1 g·kg-1)group and high dose(DH-H,18.2 g·kg-1)group of Rehman-nia.Except for the control group,BLM(5 mg·kg-1)was instilled into the trachea to establish the model of pulmonary fibrosis in the other groups.The survival rate,lung index and blood oxygen saturation of mice in each group were evaluated.HE and Masson staining were used to observe the pathological changes of lung tissue.WBP was used to detect lung function.Flow cytometry was used to detect the apoptosis of primary lung cells,ROS and immune cells.ELISA was used to detect the levels of fibrosis markers and inflammatory factors(α-SMA,collagen Ⅰ,collagen Ⅲ,TGF-β1,TNF-α,IL-1 β,and IL-6).Biochemical method was employed to detect the contents of GSH-Px,T-SOD and MDA.Liquid chromatograph mass spectrometer(LC-MS)metabolomics was used to analyze the changes of serum metabolic profile.Results Water extract of Re-hmannia significantly increased the survival rate,oxy-gen saturation and lung function of mice with pulmona-ry fibrosis,reduced the lung coefficient,ameliorated pathological damage and collagen deposition in lung tissue,reduced the levels of apoptosis and oxidative stress,and down-regulated the levels of inflammatory factors in lung tissue.It regulated the levels of metabo-lites such as bile acid metabolism,sphingolipid metabo-lism,and unsaturated fatty acid metabolism.Conclu-sions Water extract of Rehmannia inhibits lung injury and collagen deposition in mice with pulmonary fibrosis by inhibiting inflammatory response,which may be a-chieved by regulating the levels of inflammatory factors through the metabolic pathways of bile acid and sphin-golipid.

Objective:To explore the application effect of BOPPPS teaching model in the teaching of Food Safety Supervision and Management course.Methods:Students of two parallel classes majoring in the Food Quality and Safety of the same grade of a university in Liaoning Province were selected,and the traditional teaching model and BOPPPS teaching model were used for teaching practice respectively.The scores,teaching effect and satisfaction of two groups were compared.Results:The regular performance and total scores of the experimental group were significantly higher than those of the control group(P＜0.05).In terms of enhancing students'interest in food safety supervision,improving knowledge and skills,cultivating self-directed learning and teamwork abilities,strengthening the close connection between the course and real cases,and providing assistance for future career,the experimental group performed significantly better than the control group(P＜0.05).Moreover,the satisfaction of the experimental group was higher than that of the control group(P＜0.05).Conclusion:BOPPPS teaching model has a remarkable effect in the teaching of Food Safety Supervision and Management course,providing an effective approach for the teaching reform of this course.

With the emergence of deep learning techniques based on convolutional neural networks, artificial intelligence (AI) has driven transformative developments in the field of medical image analysis. Recently, large language models (LLMs) such as ChatGPT have also started to achieve distinction in this domain. Increasing research shows the undeniable role of AI in reshaping various aspects of medical image analysis, including processes such as image enhancement, segmentation, detection in image preprocessing, and postprocessing related to medical diagnosis and prognosis in clinical settings. However, despite the significant progress in AI research, studies investigating the recent advances in AI technology in the aforementioned aspects, the changes in research hotspot trajectories, and the performance of studies in addressing key clinical challenges in this field are limited. This article provides an overview of recent advances in AI for medical image analysis and discusses the methodological profiles, advantages, disadvantages, and future trends of AI technologies.
Artificial Intelligence ; Humans ; Image Processing, Computer-Assisted/methods* ; Neural Networks, Computer ; Deep Learning ; Diagnostic Imaging/methods*