ObjectiveTo explore the effectiveness of health information dissemination and its influencing factors using the "Shanghai CDC" WeChat public account as a case study, providing references for public health institutions to optimize the use of official new media platforms for effective publicity. MethodsA total of 1 030 headline articles published on the "Shanghai CDC" WeChat public account between 2016 and 2019 were analyzed using content analysis and non-parametric tests to examine the impact of factors such as titles and content categories. ResultsFrom 2016 to 2019, the number of WeChat public account followers increased by 280 000, with the articles accumulating over 8.8 million views. The median (P₂₅, P₇₅) open rate of articles was 5.90% (3.69%, 10.31%), and the median (P₂₅, P₇₅) sharing and forwarding rate was 6.60% (4.25%, 9.17%). Factors such as the use of first- and second-person pronouns, degree adverbs, negative adverbs, explicit viewpoints, and title length all significantly affected the open rate of articles, with OR (95%CI) values of 0.175 (0.041‒0.756), 32.606 (2.350‒452.432), 4.079 (1.093‒15.230), 0.106 (0.028‒0.409), and 1.184 (1.063‒1.319),respectively (all P<0.05). In terms of content, statistical significant differences in dissemination effectiveness were observed across article categories and themes (P<0.05). In terms of article categories, articles related to news hotspots and service information had higher open rates of 9.58% and 14.00%, respectively. These two types of articles also obtained higher sharing and forwarding rates of 7.65% and 9.16%, respectively. In terms of article topics, compared with healthy life and health products, among the top four topics in terms of publication volume, the open rates of articles about infectious diseases and disease-causing biology and immunization programs were higher, accounting for 7.88% and 6.88%, respectively, with no significant difference in sharing and forwarding rates. ConclusionThe "Shanghai CDC" WeChat public account demonstrated good dissemination effectiveness. Enhancing article titles by increasing informational content and degree adverbs (e.g., "highly," "most," and "extremely") and negative adverbs (e.g., "no") can improve dissemination reach. Public health WeChat accounts should incorporate news hotspots or service information in their articles. While maintaining their strengths in disseminating knowledge on infectious diseases and immunization programs, they should also enhance public education in other professional fields within their scope of responsibility to improve the overall dissemination impact of health information.

Surface plasmon resonance （SPR） sensor is an optical detection technique enables real-time and dynamic monitoring of biological samples. SPR-based biosensors have remarkable characteristics such as label-free detection and high sensitivity, making them important tools for studying molecular interactions. The recognition element, which plays a critical role in SPR sensors,which could specifically identify and capture of target analytes, closely influencing the selectivity performance of the sensor. The progress on SPR sensors in pharmaceutical research were reviewed, which focused on the application of recognition elements such as antibodies, aptamers, molecularly imprinted polymers, and metal nanoparticles.

ObjectiveTo explore the optimal construction method and the biological basis for establishing a mouse model of ischemic heart disease（IHD） with Qi and Yin deficiency syndrome by intraperitoneal injection of isoproterenol（ISO）. MethodsA total of 144 male C57BL/6J mice were randomly assigned into three normal groups and nine model groups according to body mass， with 12 mice in each group. The model groups 1， 4， and 7 were administered ISO via intraperitoneal injection at a dose of 5 mg·kg^-1·d^-1 for four consecutive days， the model groups 2， 5， and 8 received ISO at a dose of 10 mg·kg^-1·d^-1 for seven consecutive days， while the model groups 3， 6， and 9 were given ISO at a dose of 15 mg·kg^-1·d^-1 for 14 consecutive days. The normal groups were administered an equivalent volume of normal saline via intraperitoneal injection. After the modeling process， body mass， 24-hour food and water intake， grip strength， and spontaneous activity of the mice were measured. Cardiac function was assessed using echocardiography， the serum levels of norepinephrine（NE）， cyclic adenosine monophosphate（cAMP）， and cyclic guanosine monophosphate（cGMP） were determined via enzyme-linked immunosorbent assay（ELISA）. The content of adenosine triphosphate（ATP） in myocardial tissue was measured by biochemical analysis， while histopathological changes in myocardial tissue were observed via hematoxylin-eosin（HE） staining. An orthogonal experimental design was applied for intuitive analysis and variance analysis to screen the optimal modeling conditions of the mouse model of IHD with Qi and Yin deficiency syndrome. A data-dependent acquisition（DDA） proteomic technique was employed to quantitatively detect differentially expressed proteins in myocardial tissue between the optimal model group and the normal group. And bioinformatics analysis was conducted to explore the potential biological mechanisms underlying the Qi and Yin deficiency model of IHD. ResultsOrthogonal results showed that the injection cycle had a great influence on model establishment， and the optimal modeling condition was identified as intraperitoneal injection of ISO at 15 mg·kg^-1·d^-1 for 14 consecutive days. Under this condition， compared with the normal group， the model group demonstrated significant reductions in body mass， food intake， water intake， grip strength， total distance and average speed of exercise， ejection fraction（EF）， fractional shortening（FS）， serum levels of NE and cGMP， and myocardial ATP content（P<0.01）， while immobility time， cAMP level， and the cAMP/cGMP value were significantly increased（P<0.05， P<0.01）. HE staining results revealed that myocardial tissue in the model group had disordered cell arrangement， inflammatory cell infiltration， myocardial fiber rupture， and fibrous tissue proliferation. Proteomic analysis identified 141 differentially expressed proteins in the model group compared with the normal group， with 52 up-regulated and 89 down-regulated. Gene Ontology（GO） functional annotation and Kyoto Encyclopedia of Genes and Genomes（KEGG） pathway enrichment analysis indicated that the cellular components（CC） were mainly related to mitochondria and the inner mitochondrial membrane， the biological processes（BP） were associated with complement activation， platelet activation， and responses to metal ions， suggesting that the potential functional pathways involved the complement and coagulation cascade， as well as porphyrin metabolism. ConclusionContinuous intraperitoneal injection of ISO at a dose of 15 mg·kg^-1 for 14 days successfully establishes a mouse model of IHD with Qi and Yin deficiency syndrome， and the underlying mechanisms may be related to the regulation of iron ions by complement C3， C5 and Cp， and plays a role in the regulation through the BP of complement activation， platelet activation， and responses to metal ions， and the signaling pathways of the complement and coagulation cascade and porphyrin metabolism.

ObjectiveTo explore the optimal construction method and the biological basis for establishing a mouse model of ischemic heart disease（IHD） with Qi and Yin deficiency syndrome by intraperitoneal injection of isoproterenol（ISO）. MethodsA total of 144 male C57BL/6J mice were randomly assigned into three normal groups and nine model groups according to body mass， with 12 mice in each group. The model groups 1， 4， and 7 were administered ISO via intraperitoneal injection at a dose of 5 mg·kg^-1·d^-1 for four consecutive days， the model groups 2， 5， and 8 received ISO at a dose of 10 mg·kg^-1·d^-1 for seven consecutive days， while the model groups 3， 6， and 9 were given ISO at a dose of 15 mg·kg^-1·d^-1 for 14 consecutive days. The normal groups were administered an equivalent volume of normal saline via intraperitoneal injection. After the modeling process， body mass， 24-hour food and water intake， grip strength， and spontaneous activity of the mice were measured. Cardiac function was assessed using echocardiography， the serum levels of norepinephrine（NE）， cyclic adenosine monophosphate（cAMP）， and cyclic guanosine monophosphate（cGMP） were determined via enzyme-linked immunosorbent assay（ELISA）. The content of adenosine triphosphate（ATP） in myocardial tissue was measured by biochemical analysis， while histopathological changes in myocardial tissue were observed via hematoxylin-eosin（HE） staining. An orthogonal experimental design was applied for intuitive analysis and variance analysis to screen the optimal modeling conditions of the mouse model of IHD with Qi and Yin deficiency syndrome. A data-dependent acquisition（DDA） proteomic technique was employed to quantitatively detect differentially expressed proteins in myocardial tissue between the optimal model group and the normal group. And bioinformatics analysis was conducted to explore the potential biological mechanisms underlying the Qi and Yin deficiency model of IHD. ResultsOrthogonal results showed that the injection cycle had a great influence on model establishment， and the optimal modeling condition was identified as intraperitoneal injection of ISO at 15 mg·kg^-1·d^-1 for 14 consecutive days. Under this condition， compared with the normal group， the model group demonstrated significant reductions in body mass， food intake， water intake， grip strength， total distance and average speed of exercise， ejection fraction（EF）， fractional shortening（FS）， serum levels of NE and cGMP， and myocardial ATP content（P<0.01）， while immobility time， cAMP level， and the cAMP/cGMP value were significantly increased（P<0.05， P<0.01）. HE staining results revealed that myocardial tissue in the model group had disordered cell arrangement， inflammatory cell infiltration， myocardial fiber rupture， and fibrous tissue proliferation. Proteomic analysis identified 141 differentially expressed proteins in the model group compared with the normal group， with 52 up-regulated and 89 down-regulated. Gene Ontology（GO） functional annotation and Kyoto Encyclopedia of Genes and Genomes（KEGG） pathway enrichment analysis indicated that the cellular components（CC） were mainly related to mitochondria and the inner mitochondrial membrane， the biological processes（BP） were associated with complement activation， platelet activation， and responses to metal ions， suggesting that the potential functional pathways involved the complement and coagulation cascade， as well as porphyrin metabolism. ConclusionContinuous intraperitoneal injection of ISO at a dose of 15 mg·kg^-1 for 14 days successfully establishes a mouse model of IHD with Qi and Yin deficiency syndrome， and the underlying mechanisms may be related to the regulation of iron ions by complement C3， C5 and Cp， and plays a role in the regulation through the BP of complement activation， platelet activation， and responses to metal ions， and the signaling pathways of the complement and coagulation cascade and porphyrin metabolism.

Objective: To explore glymphatic impairment in pediatric refractory epilepsy (RE) using multi-parameter magnetic resonance imaging (MRI), assess its relationship with white-matter (WM) abnormalities and clinical indicators, and preliminarily evaluate the performance of multi-parameter MRI in discriminating RE from drug-sensitive epilepsy (DSE). Materials and Methods: We retrospectively included 70 patients with DSE (mean age, 9.7 ± 3.5 years; male:female, 37:33) and 26 patients with RE (9.0 ± 2.9 years; male:female, 12:14). The diffusion tensor imaging analysis along the perivascular space (DTI-ALPS) index as well as fractional anisotropy (FA), mean diffusivity (MD), and nodal efficiency values were measured and compared between patients with RE and DSE. With sex and age as covariables, differences in the FA and MD values were analyzed using tract-based spatial statistics, and nodal efficiency was analyzed using a linear model. Pearson’s partial correlation was analyzed. Receiver operating characteristic (ROC) curves were used to evaluate the discrimination performance of the MRI-based machine-learning models through five-fold cross-validation. Results: In the RE group, FA decreased and MD increased in comparison with the corresponding values in the DSE group, and these differences mainly involved the callosum, right and left corona radiata, inferior and superior longitudinal fasciculus, and posterior thalamic radiation (threshold-free cluster enhancement, P < 0.05). The RE group also showed reduced nodal efficiency, which mainly involved the limbic system, default mode network, and visual network (false discovery rate, P < 0.05), and significantly lower DTI-ALPS index (F = 2.0, P = 0.049). The DTI-ALPS index was positively correlated with FA (0.25 ≤ r ≤ 0.32) and nodal efficiency (0.22 ≤ r ≤ 0.37), and was negatively correlated with the MD (-0.24 ≤ r≤ -0.34) and seizure frequency (r = -0.47). A machine-learning model combining DTI-ALPS, FA, MD, and nodal efficiency achieved a cross-validated ROC curve area of 0.83 (sensitivity, 78.2%; specificity, 84.8%). Conclusion Pediatric patients with RE showed impaired glymphatic function in comparison with patients with DSE, which was correlated with WM abnormalities and seizure frequency. Multi-parameter MRI may be feasible for distinguishing RE from DSE.

This narrative review examines the challenges, strategies, and future directions in the development of young teachers within the pathophysiology departments of Chinese medical colleges. A thorough review of 49 studies published between 2013 and 2024 was carried out using PubMed, Web of Science, and various Chinese databases. The primary challenges identified include teaching innovation (cited in 84.2% of the studies), research pressure (91.2%), disciplinary characteristics (87.7%), and career development (80.7%). Medical schools have responded by enhancing training systems (94.7%), innovating teaching methods (93.0%), and bolstering research support (96.5%). Looking ahead, trends are shifting toward the application of new technologies, interdisciplinary integration, and international collaboration. The focus on cultivating young teachers is increasingly geared towards personalization and diversification, which are essential for advancing education in pathophysiology. High-quality young teachers are pivotal in raising teaching standards, fostering research innovation, and facilitating interdisciplinary exchanges. Based on these insights, we recommend several practical measures to enhance the quality of pathophysiology education in China. These include establishing comprehensive training programs that integrate teaching innovation and research skills; developing structured mentorship systems with clear pathways for career advancement; creating platforms that support technology-enhanced teaching and international collaboration; and implementing systematic evaluation mechanisms to assess teaching effectiveness. These targeted interventions will require a coordinated effort from department heads, educational institutions, and policymakers to ensure a sustained improvement in the quality of pathophysiology education.

Objective: To evaluate the comprehensive intervention effect of lunch for primary and secondary school students in Minhang District, so as to provide a theoretical and practical basis for lunch intervention in school. Methods: From October to December 2023, a convenience sampling method was used to select 1 937 students from one primary and secondary school in Minhang District.A comprehensive intervention measure focusing on "reducing oil and salt" for lunch recipe optimization and nutrition education was carried out, and a questionnaire survey was conducted to evaluate the intervention effect three months later. Chi square test and Wilcoxon rank test were used to compare the data before and after the intervention. Results: After intervention, the use of cooking oil and salt, the supply of protein and fat in primary and secondary school lunches were reduced, and had no obvious impact on energy and other major nutrients. After intervention, compared to before intervention, the proportion of primary school students who felt that lunch was greasy decreased (8.9%, 6.2%, χ 2=4.35), and the proportion of primary and secondary school students who felt that lunch were delicious decreased significantly (33.2%, 23.2%; 63.9%, 53.5%, χ 2=26.39, 17.52) ( P < 0.05 ). Secondary school students also felt reduced variety of food ingredients (46.9%, 38.3%, χ 2=16.05, P <0.05). In addition, after intervention, the total surplus rate of primary school students meals decreased (7.4%, 4.4%, χ 2=5.73), mainly reflected in the decrease of the surplus rate of staple foods (7.1%, 2.4%, χ 2=17.39), while the surplus rate of vegetable dishes increased ( 16.0 %, 21.2%, χ 2=6.01) ( P <0.05). Although there was no significant change in the total surplus rate of meals for secondary school students, the surplus rate of staple foods decreased (12.9%, 5.4%, χ 2=33.52), while the surplus rates of meat and vegetable dishes increased (11.2%, 26.9%; 17.5%, 33.2%, χ 2=74.26, 61.88) ( P <0.05). After intervention, there was no statistically significant difference in the overweight and obesity rates of primary school students ( χ 2=0.11,0.43) and secondary school students ( χ 2=0.01,0.00) compared to before intervention( P >0.05). After intervention, the lung capacity of primary school students [1 564 (1 269,1 890) mL] and sitting forward flexion [11.3 (7.6, 15.2) cm] increased compared to before intervention [1 522 (1 259, 1 819 ) mL, 10.5 (6.3, 13.5) cm] ( Z =2.20, 4.68, P <0.01), but there was no statistically significant difference in lung capacity and sitting forward flexion of secondary school students before and after intervention ( Z =-0.46, -0.08, P >0.05). Conclusion The comprehensive intervention of school lunch has promoted a significant decrease in the use of oil and salt in lunch and improved the quality of recipes, and has a positive impact on the situation of leftover lunch and the health of students to a certain extent.

Objective: To explore glymphatic impairment in pediatric refractory epilepsy (RE) using multi-parameter magnetic resonance imaging (MRI), assess its relationship with white-matter (WM) abnormalities and clinical indicators, and preliminarily evaluate the performance of multi-parameter MRI in discriminating RE from drug-sensitive epilepsy (DSE). Materials and Methods: We retrospectively included 70 patients with DSE (mean age, 9.7 ± 3.5 years; male:female, 37:33) and 26 patients with RE (9.0 ± 2.9 years; male:female, 12:14). The diffusion tensor imaging analysis along the perivascular space (DTI-ALPS) index as well as fractional anisotropy (FA), mean diffusivity (MD), and nodal efficiency values were measured and compared between patients with RE and DSE. With sex and age as covariables, differences in the FA and MD values were analyzed using tract-based spatial statistics, and nodal efficiency was analyzed using a linear model. Pearson’s partial correlation was analyzed. Receiver operating characteristic (ROC) curves were used to evaluate the discrimination performance of the MRI-based machine-learning models through five-fold cross-validation. Results: In the RE group, FA decreased and MD increased in comparison with the corresponding values in the DSE group, and these differences mainly involved the callosum, right and left corona radiata, inferior and superior longitudinal fasciculus, and posterior thalamic radiation (threshold-free cluster enhancement, P < 0.05). The RE group also showed reduced nodal efficiency, which mainly involved the limbic system, default mode network, and visual network (false discovery rate, P < 0.05), and significantly lower DTI-ALPS index (F = 2.0, P = 0.049). The DTI-ALPS index was positively correlated with FA (0.25 ≤ r ≤ 0.32) and nodal efficiency (0.22 ≤ r ≤ 0.37), and was negatively correlated with the MD (-0.24 ≤ r≤ -0.34) and seizure frequency (r = -0.47). A machine-learning model combining DTI-ALPS, FA, MD, and nodal efficiency achieved a cross-validated ROC curve area of 0.83 (sensitivity, 78.2%; specificity, 84.8%). Conclusion Pediatric patients with RE showed impaired glymphatic function in comparison with patients with DSE, which was correlated with WM abnormalities and seizure frequency. Multi-parameter MRI may be feasible for distinguishing RE from DSE.

This narrative review examines the challenges, strategies, and future directions in the development of young teachers within the pathophysiology departments of Chinese medical colleges. A thorough review of 49 studies published between 2013 and 2024 was carried out using PubMed, Web of Science, and various Chinese databases. The primary challenges identified include teaching innovation (cited in 84.2% of the studies), research pressure (91.2%), disciplinary characteristics (87.7%), and career development (80.7%). Medical schools have responded by enhancing training systems (94.7%), innovating teaching methods (93.0%), and bolstering research support (96.5%). Looking ahead, trends are shifting toward the application of new technologies, interdisciplinary integration, and international collaboration. The focus on cultivating young teachers is increasingly geared towards personalization and diversification, which are essential for advancing education in pathophysiology. High-quality young teachers are pivotal in raising teaching standards, fostering research innovation, and facilitating interdisciplinary exchanges. Based on these insights, we recommend several practical measures to enhance the quality of pathophysiology education in China. These include establishing comprehensive training programs that integrate teaching innovation and research skills; developing structured mentorship systems with clear pathways for career advancement; creating platforms that support technology-enhanced teaching and international collaboration; and implementing systematic evaluation mechanisms to assess teaching effectiveness. These targeted interventions will require a coordinated effort from department heads, educational institutions, and policymakers to ensure a sustained improvement in the quality of pathophysiology education.

Objective: To explore glymphatic impairment in pediatric refractory epilepsy (RE) using multi-parameter magnetic resonance imaging (MRI), assess its relationship with white-matter (WM) abnormalities and clinical indicators, and preliminarily evaluate the performance of multi-parameter MRI in discriminating RE from drug-sensitive epilepsy (DSE). Materials and Methods: We retrospectively included 70 patients with DSE (mean age, 9.7 ± 3.5 years; male:female, 37:33) and 26 patients with RE (9.0 ± 2.9 years; male:female, 12:14). The diffusion tensor imaging analysis along the perivascular space (DTI-ALPS) index as well as fractional anisotropy (FA), mean diffusivity (MD), and nodal efficiency values were measured and compared between patients with RE and DSE. With sex and age as covariables, differences in the FA and MD values were analyzed using tract-based spatial statistics, and nodal efficiency was analyzed using a linear model. Pearson’s partial correlation was analyzed. Receiver operating characteristic (ROC) curves were used to evaluate the discrimination performance of the MRI-based machine-learning models through five-fold cross-validation. Results: In the RE group, FA decreased and MD increased in comparison with the corresponding values in the DSE group, and these differences mainly involved the callosum, right and left corona radiata, inferior and superior longitudinal fasciculus, and posterior thalamic radiation (threshold-free cluster enhancement, P < 0.05). The RE group also showed reduced nodal efficiency, which mainly involved the limbic system, default mode network, and visual network (false discovery rate, P < 0.05), and significantly lower DTI-ALPS index (F = 2.0, P = 0.049). The DTI-ALPS index was positively correlated with FA (0.25 ≤ r ≤ 0.32) and nodal efficiency (0.22 ≤ r ≤ 0.37), and was negatively correlated with the MD (-0.24 ≤ r≤ -0.34) and seizure frequency (r = -0.47). A machine-learning model combining DTI-ALPS, FA, MD, and nodal efficiency achieved a cross-validated ROC curve area of 0.83 (sensitivity, 78.2%; specificity, 84.8%). Conclusion Pediatric patients with RE showed impaired glymphatic function in comparison with patients with DSE, which was correlated with WM abnormalities and seizure frequency. Multi-parameter MRI may be feasible for distinguishing RE from DSE.