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 investigate the incidence and influencing factors of posttraumatic stress disorder （PTSD） three months after a traffic accident， and to explore the role of social support and coping strategies. MethodsA total of 117 individuals exposed to trauma following road traffic accidents were recruited. General demographic and clinical information was collected within one week， and the hamilton anxiety rating scale （HAMA）， the hamilton depression rating scale-24 （HAMD-24）， the social support rating scale （SSRS）， and the simplified coping style questionnaire （SCSQ） were administered. A 3-month follow-up was subsequently conducted， during which PTSD symptoms were assessed using the post-traumatic stress disorder checklist for DSM-5 （PCL-5）. Participants were divided into a PTSD group and a non-PTSD group according to whether PTSD occurred. Between-group comparisons were performed using the Mann-Whitney U non-parametric test or the χ² test， as appropriate. Spearman correlation analysis was used to examine the associations between general characteristics and PCL-5 scores. Binary Logistic regression was applied to identify factors influencing PTSD， and receiver operating characteristic （ROC） curve analysis was conducted to evaluate the diagnostic value of the SCSQ and SSRS. ResultsDuring the 3-month follow-up of the 117 trauma-exposed individuals， 17 cases developed PTSD， with a higher proportion of females （70.59%）. Between-group comparisons showed that， compared with the PTSD group， the non-PTSD group had higher scores for positive coping， objective support， and subjective support （P<0.05）， and lower scores for negative coping， HAMA， HAMD， and PCL-5 （P<0.05）. Correlation analysis indicated that female gender， negative coping， and higher HAMA and HAMD scores were associated with greater PTSD severity. Logistic regression analysis demonstrated that educational level （OR=1.715， 95% CI： 1.020-2.883， P=0.042） and negative coping （OR=1.590， 95% CI： 1.003-2.522， P=0.048） were risk factors for PTSD， whereas objective support （OR=0.646， 95% CI： 0.451-0.925， P=0.017） was a protective factor. The ROC analysis showed that the total SCSQ score and its negative and positive coping dimensions， the total SSRS score and its subjective and objective support dimensions， as well as their combined use， all demonstrated good discriminative ability in distinguishing between the PTSD and non-PTSD groups. ConclusionThe results suggest that individuals who are female， with higher HAMA and HAMD scores after a motor vehicle accident， and those with lower social support and negative coping strategies， should be given particular attention. Early interventions for these individuals may reduce the incidence of PTSD.

ObjectiveTo identify the primary hemostatic active components in Moutan Cortex Carbonisata（MCC） based on the spectrum-effect relationship between the fingerprint and hemostatic efficacy， thereby providing a basis for characterizing its active constituents. MethodsUltra-performance liquid chromatography-quadrupole-electrostatic field orbitrap high-resolution mass spectrometry（UPLC-Q-Orbitrap MS/MS） was employed to establish the fingerprint profiles of 16 batches of MCC aqueous extracts and identify the common peaks. Activated partial thromboplastin time（APTT）， an in vitro coagulation activity indicator， was measured for the 16 batches of samples using a semi-automated coagulometer. Grey relational analysis（GRA）， Pearson correlation analysis， and partial least squares regression（PLSR） were comprehensively applied to screen potential hemostatic active components. For the identified active components， multi-dimensional pharmacological validation was conducted through in vitro coagulation assays measuring APTT， prothrombin time（PT）， and thrombin time（TT）， evaluation of hemostasis rate using a zebrafish cerebral hemorrhage model， and real-time quantitative polymerase chain reaction（Real-time PCR） detection of coagulation factor X（FⅩ） mRNA expression level. ResultsThe UPLC fingerprint of the aqueous extract of MCC was successfully established， identifying 12 common peaks. Among these， 9 chemical components were subsequently characterized using UPLC-Q-Orbitrap MS. Comprehensive application of GRA， Pearson correlation analysis， and PLSR analysis identified 5-hydroxymethylfurfural（5-HMF）， gallic acid， 1-O-galloylglucose， and p-hydroxybenzoic acid as key hemostatic active constituents in MCC. In vitro coagulation assays confirmed that all four active components significantly shortened APTT and PT（P<0.05， P<0.01）. The zebrafish cerebral hemorrhage model further validated their in vivo hemostatic efficacy， with each component significantly reducing hemorrhage area（P<0.05， P<0.01）， yielding hemostasis rates of 31.20% for 5-HMF， 68.85% for gallic acid， 45.45% for 1-O-galloylglucose， and 45.60% for p-hydroxybenzoic acid， and demonstrating overall concentration-dependent effects. Real-time PCR analysis demonstrated that all active components significantly upregulated FⅩ mRNA expression（P<0.05， P<0.01）， synergistically enhancing hemostasis. ConclusionBy integrating spectrum-effect relationship analysis and multi-dimensional efficacy validation， this study identified four hemostatic constituents from MCC， providing a scientific basis for elucidating its hemostatic material basis.

low transit constipation （STC） is a common functional intestinal disorder caused by impaired colonic transit function， characterized by reduced bowel movement frequency， hard stools， and difficulty in defecation. The mitogen-activated protein kinase （MAPK） signaling pathway， which mainly includes extracellular signal-regulated kinase （ERK）， c-Jun N-terminal kinase （JNK）， and p38 subtypes， plays a critical regulatory role in the occurrence and development of STC. This paper systematically reviews the multiple pathogenic mechanisms of the MAPK signaling pathway in STC and the research progress of traditional Chinese medicine （TCM） intervention.At the mechanistic level， the MAPK signaling pathway promotes the progression of STC through the following links：（1） Activation of p38 upregulates the expression of aquaporin 3 （AQP3）/AQP4 in the colon， leading to excessive reabsorption of water in the intestinal lumen； （2） It forms a positive feedback loop with nuclear factor-κB （NF-κB） to maintain low-grade intestinal inflammation， releases inflammatory factors such as tumor necrosis factor-α （TNF-α） and interleukin-1β （IL-1β）， and inhibits smooth muscle contraction； （3） Overactivation of p38 downregulates the expression of occludin and mucin 2 while upregulates the expression of claudin-2， thereby disrupting the mucosal barrier； （4） The JNK/p38 signaling pathway activates the caspase cascade to induce apoptosis of intestinal epithelial cells， neurons， and interstitial cells of Cajal； （5） Abnormal ERK signaling and excessive activation of p38/JNK inhibit intestinal smooth muscle contraction and reduce 5-hydroxytryptamine secretion， ultimately resulting in impaired colonic transit function.At the intervention level， TCM compound formulas and single herbs have been proven to improve STC by regulating the MAPK signaling pathway. Their effects are syndrome type-dependent：yin-nourishing formulas （Zengye Chengqi Tang， Tongbian Tang） mainly regulate the ERK/AQP axis； yang-warming formulas （Jichuan Jian） target both ERK/JNK and anti-apoptosis； heat-clearing formulas （Sanren Tang） focus on p38/NF-κB anti-inflammation. A single drug can simultaneously cover multiple aspects including water metabolism， inflammation， barrier function， apoptosis， and intestinal motility.Current relevant studies still have limitations such as mechanisms mostly remaining at the correlational level and a lack of disease-syndrome integrated research models. Future studies should combine specific inhibitors or gene knockout to identify core targets， establish disease-syndrome integrated STC models， and use network pharmacology and molecular docking techniques to deeply analyze the fine mechanism of “component-target-phenotype”， so as to provide high-quality evidence for the precise regulation of the MAPK signaling pathway by TCM in the intervention of STC.

Objective To construct a dynamic prediction model for JC polyomavirus (JCV) reactivation after kidney transplantation. Methods A retrospective analysis was conducted on the clinical data of 128 recipients who met the inclusion criteria and received kidney transplantation in Nanfang Hospital, Southern Medical University, from June 2021 to December 2024. Dynamic Cox regression and dynamic restricted mean survival time (RMST) regression based on the landmark method were adopted to establish the dynamic prediction models, and Monte Carlo cross-validation was used to evaluate model performance. Results The dynamic models could predict the incidence and onset time of JCV reactivation within the subsequent 3 months according to covariates at each landmark time point from the 1st to the 6th month after transplantation. Remuzzi score, body mass index and warm ischemia time were independent risk factors for JCV reactivation, while a history of urinary BK polyomavirus reactivation served as a protective factor. The median values of the area under the curve, C-index and Brier score of the dynamic Cox model were 0.873, 0.851 and 0.065 respectively, and the C-index of the dynamic RMST model was 0.829, all of which were superior to those of the static model. Conclusions The landmark-based dynamic models exhibit excellent predictive performance, which may integrate baseline data and post-transplant follow-up information to realize dynamic assessment of the risk and time window of JCV reactivation, thereby providing evidence for optimizing post-operative monitoring and individualized intervention strategies.

Sichuan Province is a hilly schistosomiasis-endemic province in China with the highest endemicity and largest coverage. During the period of more than 70 years of integrated control, there are five distinct phases of schistosomiasis control in Sichuan Province, including baseline investigation, Oncomelania hupensis snail control, chemotherapy for both humans and livestock, management of source of Schistosoma japonicum infections, and sustained control and intensified surveillance and early warning, and a package of key interventions are implemented, including environmental modification, snail control with chemical treatment, large-scale chemotherapy for humans and livestock, management of source of S. japonicum infections, intensified integrated control, establishment of an early warning and surveillance system. As a result, schistosomiasis has been eliminated across all 63 disease-endemic counties (cities, districts) in Sichuan Province by June 2025. Government-led multi-sectoral collaborations, science and technology-supported precision control strategies, and a sustainable control model tailored to the ecological and socio-economic conditions in endemic regions are essential to achieving the target of schistosomiasis elimination in Sichuan Province.

Objective: To analyze the demographic evolution of China over the forthcoming decade (2026-2035) and to systematically evaluate its potential implications for voluntary blood donation practices and the equilibrium of clinical blood supply and demand. Methods: Leveraging comprehensive blood collection and utilization data from 2021 to 2025 at the national, provincial (Shandong), and municipal (Zibo) levels, we identified and examined critical determinants influencing blood management systems. The DeepSeek-V3.2 large language model was deployed to project future population age structures, and to generate quantitative estimates for hospitalization volumes, clinical blood requirements, available blood supply, and donation frequencies for the target years 2030 and 2035, thereby furnishing an evidence base for strategic planning and priority-setting. Results: DeepSeek-derived projections indicate that the proportion of China's population aged 60 years and above will surpass 27% (370 million/1 380 million) by 2030 and exceed 30% (400 million/1 350 million) by 2035, signaling a marked acceleration in population aging. This demographic shift is projected to reduce the proportion of the national population eligible to donate blood from 59.2% (835 million out of 1.41 billion) to 52% (710 million out of 1.36 billion), while the demand for blood is expected to increase by 87.8% relative to 2024, rising from 26.927 million units to 50.56 million units. Sustaining blood supply-demand balance will necessitate progressive annual increases in donation rates. Under prevailing policy frameworks, the required blood donation rate among the eligible population in Shandong Province would need to rise by 122.57% by 2035 [from 20.07‰ (1.1641 million person-times/58 million people) to 44.67‰ (2.189 million person-times/49 million people)] to potentially satisfy projected clinical requirements. Conclusion: By integrating DeepSeek-V3.2, AI predictive models, and blood donation incentive measures, it is possible to monitor population demographics, forecast clinical blood demand, manage blood supplies, and ensure the long-term sustainability of clinical blood availability. It must be acknowledged, however, that the present analysis is constrained by a limited data foundation (comprising only five annual observation points); accordingly, the projections should be interpreted as directional trend indicators or methodological illustrations rather than definitive quantitative forecasts.

The Medical Cases of WU Jutong （《吴鞠通医案》） proposes the principle of "treating all Bi （痹） diseases through taiyin"， which forms the basis for analyzing WU Jutong's understanding of the causes， mechanisms， and treatments of Bi （痹） diseases， providing a reference for clinical diagnosis and treatment. Through an interpretation of the phrase "treating all Bi （痹） diseases through taiyin"， it is suggested that Bi （痹） diseases is primarily caused by dampness， necessitating a focus on spleen and lung in treatment. WU emphasized four main causes of Bi （痹） diseases （wind， cold， dampness， and heat）， with dampness being the predominant factor. The disease location is initially in lung， for which external dampness invades lung first， and internal dampness obstructs the source of water metabolism， impeding lung qi and qi failing to disperse， then dampness further accumulates in the joints， leading to Bi （痹） diseases. WU Jutong proposed the modified Mufangji Decoction （木防己汤） as the foundational prescription for treating Bi （痹） diseases. By comparing the similarities and differences between the modified and original Mufangji Decoction， and analyzing the adjustments in herbal prescriptions， the clinical characteristic of "treating all Bi （痹） diseases through taiyin" is further substantiated.

Two-dimensional nuclear magnetic resonance (2D NMR) is a widely used technique for structural analysis of small molecular compounds. It can obtain information about the hydrogen-hydrogen correlation, hydrogen-carbon single bond correlation, hydrogen-carbon remote correlation, and hydrogen-hydrogen spatial arrangement of compounds. Thus, 2D NMR has an irreplaceable role in the structure elucidation of small molecular products. However, the sample amount of trace components in phytochemical research is very low, and the traditional sampling method (uniform sampling) has problems of poor spectral quality and too long measure time. Increasing the number of scans results in several hours of the acquisition time for a single two-dimensional spectrum, which in turn causes strain on the NMR machine. The non-uniform sampling (NUS) technique can shorten the acquisition time to a large extent and not affect the quality of 2D NMR data, which greatly improves the efficiency of 2D NMR acquisition. In this paper, fuziline, a small molecular compound in the lateral roots of Aconitum carmichaelii was selected as the research object. Its ¹H-¹³C HSQC, ¹H-¹H COSY, HMBC, and NOESY spectra were acquired by US and NUS methods, respectively. By comparing the integral values of NMR signals of three chemical groups in fuziline, it is confirmed that the NUS technique has the advantages of improving the quality of 2D NMR spectra and shortening the acquisition time in structure elucidation of small molecule compounds. In HMBC spectrum, it was further confirmed that NUS technology can improve the quality of the 2D spectra and the signal resolution. This indicates that NUS technology can improve the efficiency and reliability of the structure elucidation of small molecule compounds.

ObjectiveTo retrospectively analyze the epidemiological trends of birth defects in perinatal infants in Fengxian District, Shanghai from 2018 to 2022, so as to provide a scientific evidence for the formulation of related prevention and control strategies. MethodsBased on the data from the National Birth Defects Surveillance System, statistical analysis was conducted on the perinatal birth defects from monitored hospitals within the region from 2018 to 2022. ResultsFrom 2018 to 2022, a total of 20 870 perinatal infants delivered in the monitored hospitals in Fengxian District, with 472 cases with birth defects, showing a significant increase in the prevalence of birth defects (PRR=1.49, 95%CI: 1.39‒1.59). The risk of birth defects increased with maternal age, especially for advanced maternal age (PRR=1.58, 95%CI: 1.12‒2.25). Infants born to mothers with gestational diabetes had a higher prevalence of birth defects compared to those without gestational diabetes (PRR=1.99, 95%CI: 1.46‒2.70). Infants with birth defects were more likely to be born prematurely (PRR=2.07, 95%CI:1.56‒2.76). The top three types of birth defects were congenital heart disease (CHD), other anomalies of the external ear, and polydactyly. ConclusionThe prevalence of birth defects in Fengxian District monitored hospitals showed an upward trend from 2018 to 2022. Advanced maternal age and gestational diabetes were identified as risk factors for birth defects. CHD is the leading type of birth defect in Fengxian District over the five-year period. To reduce the prevalence of birth defects, it is crucial to implement comprehensive prevention and treatment measures for CHD.