ObjectiveTo systematically evaluate the application of narrative education in undergraduate nursing teaching， to understand the current application status of narrative education， and to provide a theoretical basis for the subsequent establishment of a sound narrative education system. MethodsA systematic search was conducted for studies published in Chinese and English databases on applying narrative education to undergraduate nursing teaching， with the search period ranging from database inception to February 23， 2025. Literature was screened， and relevant information was extracted. A rigorous quality evaluation was conducted on the included studies， and a descriptive analysis was performed on their content. ResultsA total of 20 papers were included， involving 3，180 research subjects， all of whom were undergraduate nursing students. The results of descriptive analysis showed that the teaching model of narrative education primarily encompassed reading narrative works， watching films and videos， performing narrative scenarios， and writing reflective journals. The course setting and content covered pre-teaching preparation and in-teaching implementation. The evaluation of teaching effectiveness included the evaluation of teachers’ teaching methods （student evaluation/self-evaluation） and the evaluation of students’ learning effectiveness （course grade evaluation/humanistic care scale/empathy scale assessment， and others）. ConclusionNarrative education combines abstract concepts with concrete clinical situations， which not only enriches students’ learning experiences but also enhances their humanistic literacy. Meanwhile， it provides teachers with opportunities to develop their narrative teaching skills， which requires them to possess profound professional knowledge and employ narrative techniques to guide students in reflection and critical thinking， thereby improving teaching quality and learning outcomes. Future efforts should consistently deepen the connotation research of narrative education and build a systematic nursing education system.

ObjectiveTo explore the potential mechanism of Xianglian Huazhuo prescription （XLHZ） in treating chronic atrophic gastritis （CAG） by regulating cell cycle and inhibiting proliferation， using bioinformatics technology and animal experiments. MethodsDifferential expressed genes （DEGs） related to CAG were screened using GEO database and GEO2R tool. Weighted gene co-expression network analysis （WGCNA） was employed to search for hub genes of CAG. These hub genes were intersected with cell cycle proliferation based on GeneCards database. Eenrichment analysis of the intersecting genes was performed to obtain signaling pathways and biological processes related to CAG. Protein protein interaction （PPI） analysis of genes was conducted using the Protein Interaction Platform （STRING） database to search the super hub gene （hub 2.0）， and animal experiments were conducted for further validation. Fourteen of 70 male Wistar rats were randomly selected as the normal group， and the remaining 56 rats were prepared by the combined modeling method of "starvation disorder+N-methyl-N-nitro-N-nitrosoguanidine （MNNG） + sodium salicylate". The successfully modeled rats were randomly divided into the model group， XLHZ-H， XLHZ-M， and XLHZ-L groups （36， 18， 9 g·kg^-1， respectively）， and Morodan group （1.4 g·kg^-1）. Each group was given corresponding intervention for 60 days. Hematoxylin-eosin （HE） staining was used to observe the histopathological changes of gastric mucosa in rats. The ultrastructure of gastric mucosal tissue cells was observed by transmission electron microscopy. The relative expression levels of TGF-β₁， Smad2 and Smad3 proteins， S/G₂/M phase marker geminin and proliferation marker MCM2 were detected by Western blot in gastric mucosal tissue， and Spearman correlation analysis was performed. ResultsA total of 15 hub 2.0 genes were identified， including TGF-β₁， suggesting the involvement of the TGF-β₁ signaling pathway in the CAG pathogenesis. Compared with the normal group， the expressions of TGF-β₁， Smad2， geminin and MCM2 proteins in the gastric mucosa tissue of the model group were increased （P<0.05）， and the expression of Smad3 protein was decreased （P<0.05）. Compared with the model group， the expressions of TGF-β₁ and geminin in the gastric mucosa were decreased in the drug groups （P<0.05）. The XLHZ-M group， XLHZ-H group and Morodan group had significantly decreased protein expression of Smad2 and MCM2 （P<0.05）. The protein expression of Smad3 was significantly increased in XLHZ-M， XLHZ-H， and Morodan groups （P<0.05）. Spearman correlation analysis showed that Smad3 was negatively correlated with other indicators， and positively correlated with other indicators （P<0.01）. ConclusionXLHZ may inhibit TGF-β₁/Smads signaling pathway， regulate cell cycle， and inhibit proliferation in the treatment of CAG.

ObjectiveTo explore the potential mechanism of Xianglian Huazhuo prescription （XLHZ） in treating chronic atrophic gastritis （CAG） by regulating cell cycle and inhibiting proliferation， using bioinformatics technology and animal experiments. MethodsDifferential expressed genes （DEGs） related to CAG were screened using GEO database and GEO2R tool. Weighted gene co-expression network analysis （WGCNA） was employed to search for hub genes of CAG. These hub genes were intersected with cell cycle proliferation based on GeneCards database. Eenrichment analysis of the intersecting genes was performed to obtain signaling pathways and biological processes related to CAG. Protein protein interaction （PPI） analysis of genes was conducted using the Protein Interaction Platform （STRING） database to search the super hub gene （hub 2.0）， and animal experiments were conducted for further validation. Fourteen of 70 male Wistar rats were randomly selected as the normal group， and the remaining 56 rats were prepared by the combined modeling method of "starvation disorder+N-methyl-N-nitro-N-nitrosoguanidine （MNNG） + sodium salicylate". The successfully modeled rats were randomly divided into the model group， XLHZ-H， XLHZ-M， and XLHZ-L groups （36， 18， 9 g·kg^-1， respectively）， and Morodan group （1.4 g·kg^-1）. Each group was given corresponding intervention for 60 days. Hematoxylin-eosin （HE） staining was used to observe the histopathological changes of gastric mucosa in rats. The ultrastructure of gastric mucosal tissue cells was observed by transmission electron microscopy. The relative expression levels of TGF-β₁， Smad2 and Smad3 proteins， S/G₂/M phase marker geminin and proliferation marker MCM2 were detected by Western blot in gastric mucosal tissue， and Spearman correlation analysis was performed. ResultsA total of 15 hub 2.0 genes were identified， including TGF-β₁， suggesting the involvement of the TGF-β₁ signaling pathway in the CAG pathogenesis. Compared with the normal group， the expressions of TGF-β₁， Smad2， geminin and MCM2 proteins in the gastric mucosa tissue of the model group were increased （P<0.05）， and the expression of Smad3 protein was decreased （P<0.05）. Compared with the model group， the expressions of TGF-β₁ and geminin in the gastric mucosa were decreased in the drug groups （P<0.05）. The XLHZ-M group， XLHZ-H group and Morodan group had significantly decreased protein expression of Smad2 and MCM2 （P<0.05）. The protein expression of Smad3 was significantly increased in XLHZ-M， XLHZ-H， and Morodan groups （P<0.05）. Spearman correlation analysis showed that Smad3 was negatively correlated with other indicators， and positively correlated with other indicators （P<0.01）. ConclusionXLHZ may inhibit TGF-β₁/Smads signaling pathway， regulate cell cycle， and inhibit proliferation in the treatment of CAG.

Objective To analyze the clinical characteristics and risk factors of noninfectious fever after endovascular repair of aortic dilatation diseases, and to explore management strategies. Methods A retrospective analysis was conducted on the clinical data of patients who underwent endovascular aortic repair for aortic dilatation diseases from January 2021 to October 2023. Based on inclusion and exclusion criteria, the enrolled patients were divided into a febrile group and an afebrile group according to the presence of postoperative fever. Clinical data, including demographics and surgical details, were compared between the two groups. Multivariate logistic regression analysis was performed on indicators with P≤0.05 in the univariate analysis, and receiver operating characteristic (ROC) curves were generated to analyze the predictive value of risk factors for postoperative noninfectious fever. Results A total of 305 patients were included in the final analysis. Postoperative noninfectious fever occurred in 75.08% (229/305) of the patients, with 98.25% of cases occurring within the first two postoperative days. The febrile group (n=229) had a median age of 65.0 (IQR: 53.0, 73.0) years with 83.4% males, while the afebrile group (n=76) had a median age of 71.0 (IQR: 65.0, 76.7) years with 84.2% males. Univariate analysis showed that the age, prevalence of coronary heart disease, preoperative statin use, and prevalence of aortic aneurysm were significantly lower in the febrile group compared to the afebrile group. Logistic regression analysis indicated that age, surgical site, disease type, preoperative elevated body temperature, and stent type were significantly associated with noninfectious fever, while preoperative statin use was negatively correlated. ROC curve analysis demonstrated that age, surgical site, preoperative elevated body temperature, and stent type had significant predictive value for postoperative noninfectious fever (P<0.01). Conclusion Noninfectious fever is highly prevalent following aortic repair. The relationship between fever and infection should be comprehensively evaluated based on risk factors and changes in the patient's condition to promote the rational use of antibiotics.

Objective: To develop a depression recognition model by integrating the spirit-expression diagnostic framework of traditional Chinese medicine (TCM) with machine learning algorithms. The proposed model seeks to establish a TCM-informed tool for early depression screening, thereby bridging traditional diagnostic principles with modern computational approaches. Methods: The study included patients with depression who visited the Shanghai Pudong New Area Mental Health Center from October 1, 2022 to October 1, 2023, as well as students and teachers from Shanghai University of Traditional Chinese Medicine during the same period as the healthy control group. Videos of 3 – 10 s were captured using a Xiaomi Pad 5, and the TCM spirit and expressions were determined by TCM experts (at least 3 out of 5 experts agreed to determine the category of TCM spirit and expressions). Basic information, facial images, and interview information were collected through a portable TCM intelligent analysis and diagnosis device, and facial diagnosis features were extracted using the Open CV computer vision library technology. Statistical analysis methods such as parametric and non-parametric tests were used to analyze the baseline data, TCM spirit and expression features, and facial diagnosis feature parameters of the two groups, to compare the differences in TCM spirit and expression and facial features. Five machine learning algorithms, including extreme gradient boosting (XGBoost), decision tree (DT), Bernoulli naive Bayes (BernoulliNB), support vector machine (SVM), and k-nearest neighbor (KNN) classification, were used to construct a depression recognition model based on the fusion of TCM spirit and expression features. The performance of the model was evaluated using metrics such as accuracy, precision, and the area under the receiver operating characteristic (ROC) curve (AUC). The model results were explained using the Shapley Additive exPlanations (SHAP). Results: A total of 93 depression patients and 87 healthy individuals were ultimately included in this study. There was no statistically significant difference in the baseline characteristics between the two groups (P > 0.05). The differences in the characteristics of the spirit and expressions in TCM and facial features between the two groups were shown as follows. (i) Quantispirit facial analysis revealed that depression patients exhibited significantly reduced facial spirit and luminance compared with healthy controls (P < 0.05), with characteristic features such as sad expressions, facial erythema, and changes in the lip color ranging from erythematous to cyanotic. (ii) Depressed patients exhibited significantly lower values in facial complexion L, lip L, and a values, and gloss index, but higher values in facial complexion a and b, lip b, low gloss index, and matte index (all P < 0.05). (iii) The results of multiple models show that the XGBoost-based depression recognition model, integrating the TCM “spirit-expression” diagnostic framework, achieved an accuracy of 98.61% and significantly outperformed four benchmark algorithms—DT, BernoulliNB, SVM, and KNN (P < 0.01). (iv) The SHAP visualization results show that in the recognition model constructed by the XGBoost algorithm, the complexion b value, categories of facial spirit, high gloss index, low gloss index, categories of facial expression and texture features have significant contribution to the model. Conclusion This study demonstrates that integrating TCM spirit-expression diagnostic features with machine learning enables the construction of a high-precision depression detection model, offering a novel paradigm for objective depression diagnosis.

Background Manganese is an essential trace element for the human body and maintains normal development of many organs including the brain. However, long-term exposure to a high manganese environment or excessive manganese intake will lead to manganese poisoning and result in neurological diseases, and currently no effective treatment plan is available. Objective To develop an animal model for subchronic manganese exposure and assess the impact of Dendrobium nobile Lindl. alkaloids (DNLA) on manganese associated behavioral and hippocampal effects in rats. Methods Fifty male SPF SD rats were randomly allocated into a control group (0.9% normal saline by intraperitoneal injection), two experimental groups [7.5 mg·kg⁻¹ (low) or 15 mg·kg⁻¹ (high) of MnCl₂·4H₂O by intraperitoneal injection], and two DNLA antagonistic groups [15 mg·kg⁻¹ MnCl₂·4H₂O by intraperitoneal injection then either 20 mg·kg⁻¹ (low) or 40 mg·kg⁻¹ (high) DNLA by oral administration]. All groups of rats were adminaistered 5 d per wek, once a day, for consecutive 13 weeks. Following modeling, neurobehavioral assessments were conducted using open field, Morris water maze, and Y maze. Inductively coupled plasma mass spectrometry (ICP-MS) was utilized to measure manganese levels in the blood and brain tissues of the rats, and hematoxylin-eosin (HE) staining was employed to examine neuronal morphological changes in the hippocampal tissues of the rats. Results The neurobehavioral tests revealed that the manganese-exposed rats exhibited decreased total movement distance, prolonged central zone dwelling time, and reduced motor activity in the open field test, indicating tendencies toward depression and anxiety (P<0.05). In the Y-maze test, the mean exploration distance in the novel arm, the number of entries into the novel arm, and the time spent in the novel arm of the managanses-exposed rats were all reduced, while the latency period increased, suggesting impaired spatial exploration and learning-memory functions (P<0.05). In the Morris water maze navigation test, the escape latency was significantly longer in the manganese-exposed rats compared to the control group, and the number of platform crossings decreased in the spatial probe test, indicating a significant decline in spatial learning and memory (P<0.05). The ICP-MS analysis showed elevated manganese concentrations in the blood and hippocampus of the exposed rats (P<0.05), and the histopathological observation revealed hippocampal damage. Following the DNLA intervention, the manganese-exposed rats showed increased total movement distance and reduced central zone dwelling time in the open field test (P<0.05). In the Y-maze test, the mean exploration distance in the novel arm, the number of entries into the novel arm, and the time spent in the novel arm increased, while the latency period decreased, suggesting alleviation of anxiety and improved exploratory behavior (P<0.05). In the Morris water maze test, the escape latency gradually shortened, and both the number of platform crossings and the percentage of time spent in the target quadrant increased, indicating improved spatial learning and memory (P<0.05). Additionally, the manganese levels in the blood and hippocampus decreased (P<0.05), and the hippocampal pathological changes were partially restored. Conclusion DNLA demonstrates the ability to counteract multiple neurotoxic effects following the elevation of manganese levels in the blood and hippocampal tissues of rats induced by subchronic manganese exposure. Specifically, DNLA is shown to ameliorate the behavioral alterations observed in rats after manganese exposure, and mitigate the hippocampal damage in manganese-exposed rats.

AIM: To analyze the prevalence, severity, types, and correction of astigmatism in children, and provide scientific evidences for the prevention and treatment of refractive errors.METHODS: This cross-sectional study included 29 153 children aged 6-12 years from Xi'an and Lantian County, Shaanxi Province, China. Visual acuity and non-cycloplegic refraction were measured. Astigmatism was defined as an absolute cylindrical power ≥0.5 D in the right eye. Differences in astigmatism severity, type distribution, and refractive correction were analyzed across age, gender, and region.RESULTS:The prevalence of astigmatism increased with age, peaking at 11 years old(62.88%). Boys(57.10%)had a higher prevalence than girls(54.86%), and the municipal areas(58.29%)had a higher prevalence than county areas(51.75%). Mild astigmatism was the most common(63.82%), with moderate astigmatism increasing with age. The highest prevalence of high astigmatism was observed in 11-years-old children(9.68%). Compound myopic astigmatism(59.28%)and mixed astigmatism(25.16%)were the most frequent types. With increasing age, compound myopic astigmatism increased, while simple myopic, simple hyperopic, and compound hyperopic astigmatism decreased. Mixed astigmatism increased from ages 6 to 7, but declined from ages 7 to 12. For astigmatic axis types, with-the-rule astigmatism was the most prevalent(81.06%)and increased with age, peaking at 11 years(85.74%). Against-the-rule astigmatism showed a declining trend, while oblique astigmatism remained relatively stable. Distribution differences in astigmatism types and axes by gender and region were observed. Significant differences in astigmatism severity, types, and axis types across different ages, genders, and regions were observed(all P<0.05). The overall refractive correction rate for children with astigmatism was only 40.18%.CONCLUSION: The overall prevalence of astigmatism among children aged 6-12 years in Shaanxi Province was 56.02%, with higher prevalence observed in boys and in municipal areas. Age, gender, and region significantly influenced the prevalence of astigmatism. Notably, less than half of the children with astigmatism received refractive correction, highlighting the need for increased attention from parents and relevant authorities.

Chronic atrophic gastritis （CAG）， a common digestive system disease， has an unclear pathogenesis. Currently， it is mostly believed to be related to Helicobacter pylori （Hp） infection， immune factors， dietary factors， bile reflux， long-term use of antibiotics and anti-inflammatory drugs， and other factors. Ferroptosis is a regulated cell death mechanism that is iron-dependent and characterized by disruption of iron metabolism and accumulation of lipid peroxides. More and more studies have found that ferroptosis is closely related to the onset of CAG. Professor LI Diangui， a master of traditional Chinese medicine， first proposed the turbid toxin theory， which holds that spleen deficiency and turbid toxin is the main pathogenic mechanism of CAG. Abnormal iron metabolism regulation is a prerequisite for the accumulation of turbid toxin in CAG， and ferroptosis is in accordance with the pathogenic mechanism （spleen deficiency and turbid toxin） of CAG. This article explores the pathological mechanism of spleen deficiency and turbid toxin in CAG from the perspectives of iron metabolism， oxidative stress， and lipid peroxidation， providing theoretical support of traditional Chinese medicine for the modern research on CAG. It enriches the modern scientific connotation of the turbid toxicity theory and provides new ideas and breakthrough points for the clinical treatment of CAG.

Chronic atrophic gastritis （CAG）， a common digestive system disease， has an unclear pathogenesis. Currently， it is mostly believed to be related to Helicobacter pylori （Hp） infection， immune factors， dietary factors， bile reflux， long-term use of antibiotics and anti-inflammatory drugs， and other factors. Ferroptosis is a regulated cell death mechanism that is iron-dependent and characterized by disruption of iron metabolism and accumulation of lipid peroxides. More and more studies have found that ferroptosis is closely related to the onset of CAG. Professor LI Diangui， a master of traditional Chinese medicine， first proposed the turbid toxin theory， which holds that spleen deficiency and turbid toxin is the main pathogenic mechanism of CAG. Abnormal iron metabolism regulation is a prerequisite for the accumulation of turbid toxin in CAG， and ferroptosis is in accordance with the pathogenic mechanism （spleen deficiency and turbid toxin） of CAG. This article explores the pathological mechanism of spleen deficiency and turbid toxin in CAG from the perspectives of iron metabolism， oxidative stress， and lipid peroxidation， providing theoretical support of traditional Chinese medicine for the modern research on CAG. It enriches the modern scientific connotation of the turbid toxicity theory and provides new ideas and breakthrough points for the clinical treatment of CAG.

Objective: To understand the prevalence and related factors of depressive symptoms among primary and secondary school students in the in depth monitoring counties of China s Rural Compulsory Education Nutrition Improvement Program, so as to provide a basis for prevention and psychological intervention of depressive symptoms among children and adolescents in rural areas. Methods: In November 2022, a stratified random sampling method was adopted to collect height and weight data, basic personal and family information of 7 949 primary and secondary school students from grade three to grade nine through physical measurements and questionnaires in 56 key monitoring schools implementing the Student Nutrition Improvement Program in 7 in depth monitoring counties (Jalaid Banner in Inner Mongolia, Jinzhai County in Anhui, Mao Xian in Sichuan, Tiandeng County in Guangxi, Mian County in Shaanxi, Zhaozhou County in Heilongjiang and Youxi County in Fujian), and to obtain the information related to their depressive symptoms through the self assessment questionnaire on depression. Multivariate Logistic regression analysis was conducted to analyze the prevalence of depressive symptoms among primary and secondary school students, as well as their related factors. Results: The detection rate of depressive symptoms among primary and secondary school students in the in depth monitored counties was 23.5%. Logistic regression analysis showed that the probability of detecting depressive symptoms was higher among female students, middle school students, students whose video screen duration per day was >2 h, and students whose parents marital status was divorced or widowed ( OR =1.40, 1.64, 1.60, 1.24), and students whose sleep duration reached the recommended standard, whose parents usually accompanied them daily for time was 60-<120 min and ≥120 min, and students whose mothers literacy level was middle school graduation had lower probability of detecting depressive symptoms ( OR =0.85, 0.84, 0.71, 0.76) ( P < 0.05 ). Conclusion The detection rate of depressive symptoms among students in the in depth monitoring area is high, and targeted interventions need to be developed for students to reduce the risk of mental health problems.