With the rapid advancement of medical technology and the increasing complexity of clinical environments, competence in clinical ethical decision-making has become an indispensable core competency for exemplary physicians. However, traditional medical ethics education has long been confronted with the persistent challenges of theory-practice dissociation and the disconnect between pedagogical settings and clinical realities. Thus, how to construct a "Clinical Ethics" curriculum that aligns with the objectives of training high-caliber medical professionals has emerged as a critical and challenging issue in current medical education reform. To effectively address this challenge, the Office of Education at Peking University Third Hospital, since 2021, has assembled a multidisciplinary "Clinical Ethics" teaching and management team comprising faculty from Peking University School of Humanities and key clinical specialists from the hospital. In 2022, the "Clinical Ethics" elective course was formally launched for fourth-year students in the eight-year MD program who had completed coursework in "Medical Ethics" and organ-system-based curricula, with the aim of exploring and operationalizing a pre-clinical ethics education model tailored for senior medical students. The course employs a modular instructional design encompassing "theoretical review-case-based deliberation-clinical workshop", which effectively facilitates the deep integration of medical humanities with clinical practice.Following four years of iterative refinement through the "plan-act-observe-reflect" cycle, the course has demonstrated positive outcomes in enhancing students' ethical awareness and decision-making capabilities, and has preliminarily established a sustainable collaborative mechanism among the multidisciplinary faculty team. This article systematically delineates the course development background, pedagogical model and methodological innovations, and the multidisciplinary collaborative framework, alongside reflections and summaries based on implementation outcomes, with the intent of providing references for the future development of "Clinical Ethics" curricula.

Drug repurposing offers a promising alternative to traditional drug development and significantly reduces costs and timelines by identifying new therapeutic uses for existing drugs. However, the current approaches often rely on limited data sources and simplistic hypotheses, which restrict their ability to capture the multi-faceted nature of biological systems. This study introduces adaptive multi-view learning (AMVL), a novel methodology that integrates chemical-induced transcriptional profiles (CTPs), knowledge graph (KG) embeddings, and large language model (LLM) representations, to enhance drug repurposing predictions. AMVL incorporates an innovative similarity matrix expansion strategy and leverages multi-view learning (MVL), matrix factorization, and ensemble optimization techniques to integrate heterogeneous multi-source data. Comprehensive evaluations on benchmark datasets (Fdataset, Cdataset, and Ydataset) and the large-scale iDrug dataset demonstrate that AMVL outperforms state-of-the-art (SOTA) methods, achieving superior accuracy in predicting drug-disease associations across multiple metrics. Literature-based validation further confirmed the model's predictive capabilities, with seven out of the top ten predictions corroborated by post-2011 evidence. To promote transparency and reproducibility, all data and codes used in this study were open-sourced, providing resources for processing CTPs, KG, and LLM-based similarity calculations, along with the complete AMVL algorithm and benchmarking procedures. By unifying diverse data modalities, AMVL offers a robust and scalable solution for accelerating drug discovery, fostering advancements in translational medicine and integrating multi-omics data. We aim to inspire further innovations in multi-source data integration and support the development of more precise and efficient strategies for advancing drug discovery and translational medicine.

Drug repurposing offers a promising alternative to traditional drug development and significantly re-duces costs and timelines by identifying new therapeutic uses for existing drugs.However,the current approaches often rely on limited data sources and simplistic hypotheses,which restrict their ability to capture the multi-faceted nature of biological systems.This study introduces adaptive multi-view learning(AMVL),a novel methodology that integrates chemical-induced transcriptional profiles(CTPs),knowledge graph(KG)embeddings,and large language model(LLM)representations,to enhance drug repurposing predictions.AMVL incorporates an innovative similarity matrix expansion strategy and leverages multi-view learning(MVL),matrix factorization,and ensemble optimization techniques to integrate heterogeneous multi-source data.Comprehensive evaluations on benchmark datasets(Fdata-set,Cdataset,and Ydataset)and the large-scale iDrug dataset demonstrate that AMVL outperforms state-of-the-art(SOTA)methods,achieving superior accuracy in predicting drug-disease associations across multiple metrics.Literature-based validation further confirmed the model's predictive capabilities,with seven out of the top ten predictions corroborated by post-2011 evidence.To promote transparency and reproducibility,all data and codes used in this study were open-sourced,providing resources for pro-cessing CTPs,KG,and LLM-based similarity calculations,along with the complete AMVL algorithm and benchmarking procedures.By unifying diverse data modalities,AMVL offers a robust and scalable so-lution for accelerating drug discovery,fostering advancements in translational medicine and integrating multi-omics data.We aim to inspire further innovations in multi-source data integration and support the development of more precise and efficient strategies for advancing drug discovery and translational medicine.

Objective:To investigate the gut microbiota and metabolic profiles of patients with neuromyelitis optica spectrum disorder (NMOSD) and myelin oligodendrocyte glycoprotein antibody-associated disease (MOGAD), and to identify potential microbial biomarkers with diagnostic values.Methods:A total of 16 NMOSD patients, 6 MOGAD patients, and 22 age- and sex-matched healthy controls were recruited from Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology since June 2024. Fecal samples were subjected to metagenomic sequencing and untargeted metabolomics. Differential microbes were identified using LEfSe (linear discriminant analysis effect size), and receiver operating characteristic curve analysis was performed to evaluate diagnostic potential. Spearman correlation analysis was used to assess relationships between key microbes, metabolites, and serum antibody titers.Results:Distinct alterations in gut microbiota were observed in both disease groups compared with healthy controls. Ligilactobacillus salivarius was significantly enriched in both NMOSD and MOGAD patients and exhibited robust diagnostic accuracy (area under the curve=0.779 P=0.005). Metabolomics revealed that levels of ethosuximide and lysine-proline were elevated, while free fatty acids (15∶1) and 5, 6-dihydrothymine were reduced in the disease groups. Analysis results indicated that Ligilactobacillus salivarius abundance was positively correlated with aquaporin 4 antibody titers in NMOSD patients ( r=0.522, P=0.046). Conclusions:Patients with NMOSD and MOGAD have characteristic alterations in gut microbial and metabolic profiles.

Objective:This study aims to explore the application effect of anticipatory risk intervention combined with health education under LEARNS mode in elderly patients with chronic heart failure(CHF).Methods:This randomized controlled enrolled 126 elderly CHF patients admitted in Panzhihua Central Hospital between January 2022 and February 2023.They were divided into control group(n=63)and intervention group(n=63).All patients received routine nursing care,patients in control group received additional health education under LEARNS mode,compared to those in intervention group receiving additional anticipatory risk intervention based on control group,both groups were intervened for 2 months.Physiological indexes,negative emotion,quality of life,sleep quality,disease perception&control and self-efficacy,as well as incidence of adverse events,were compared between two groups.Results:Compared with patients in control group after intervention,those in intervention group had signif-icant lower systolic blood pressure(SBP)[(119.84±8.60)mmHg vs.(129.49±9.24)mmHg],diastolic blood pressure(DBP)[(81.59±5.08)mmHg vs.(88.51±6.36)mmHg],N terminal pro brain natriuretic peptide(NT-proBNP)[(2604.46±204.80)ng/L vs.(3024.87±212.27)ng/L],scores of Self-Rating Anxiety Scale(SAS)[(55.90±2.43)points vs.(60.11±2.62)points],Self-Rating Depression Scale(SDS)[(57.03±2.56)points vs.(61.54±2.66)points],Minnesota Living with Heart Failure Questionnaire(MLHFQ)[(52.05±6.32)points vs.(60.46±7.10)points]and Pittsburgh Sleep Quality Index(PSQI)[(9.00±1.65)points vs.(11.05±1.96)points],and significant higher left ventricular ejection fraction(LVEF)[(51.83±7.28)％vs.(47.57±5.98)％],scores of Control Attitude Scale-Revised(CAS-R)[(35.59±2.97)points vs.(30.60±3.52)points]and Gen-eral Self-Efficacy Scale(GSES)[(36.98±4.21)points vs.(30.52±4.14)points](P＜0.001 all).Incidence of adverse events in intervention group was significantly lower than that of control group(3.17％vs.12.70％,P=0.048).Conclusion:Anticipatory risk intervention combined with health education under the LEARNS model could effectively improve the physiological indexes,quality of life and sleep,enhance disease perception and self-effica-cy,and reduce negative emotion and incidence of adverse events in elderly CHF patients.

Objective:This study aims to explore the application effect of anticipatory risk intervention combined with health education under LEARNS mode in elderly patients with chronic heart failure(CHF).Methods:This randomized controlled enrolled 126 elderly CHF patients admitted in Panzhihua Central Hospital between January 2022 and February 2023.They were divided into control group(n=63)and intervention group(n=63).All patients received routine nursing care,patients in control group received additional health education under LEARNS mode,compared to those in intervention group receiving additional anticipatory risk intervention based on control group,both groups were intervened for 2 months.Physiological indexes,negative emotion,quality of life,sleep quality,disease perception&control and self-efficacy,as well as incidence of adverse events,were compared between two groups.Results:Compared with patients in control group after intervention,those in intervention group had signif-icant lower systolic blood pressure(SBP)[(119.84±8.60)mmHg vs.(129.49±9.24)mmHg],diastolic blood pressure(DBP)[(81.59±5.08)mmHg vs.(88.51±6.36)mmHg],N terminal pro brain natriuretic peptide(NT-proBNP)[(2604.46±204.80)ng/L vs.(3024.87±212.27)ng/L],scores of Self-Rating Anxiety Scale(SAS)[(55.90±2.43)points vs.(60.11±2.62)points],Self-Rating Depression Scale(SDS)[(57.03±2.56)points vs.(61.54±2.66)points],Minnesota Living with Heart Failure Questionnaire(MLHFQ)[(52.05±6.32)points vs.(60.46±7.10)points]and Pittsburgh Sleep Quality Index(PSQI)[(9.00±1.65)points vs.(11.05±1.96)points],and significant higher left ventricular ejection fraction(LVEF)[(51.83±7.28)％vs.(47.57±5.98)％],scores of Control Attitude Scale-Revised(CAS-R)[(35.59±2.97)points vs.(30.60±3.52)points]and Gen-eral Self-Efficacy Scale(GSES)[(36.98±4.21)points vs.(30.52±4.14)points](P＜0.001 all).Incidence of adverse events in intervention group was significantly lower than that of control group(3.17％vs.12.70％,P=0.048).Conclusion:Anticipatory risk intervention combined with health education under the LEARNS model could effectively improve the physiological indexes,quality of life and sleep,enhance disease perception and self-effica-cy,and reduce negative emotion and incidence of adverse events in elderly CHF patients.

Objective:To investigate the gut microbiota and metabolic profiles of patients with neuromyelitis optica spectrum disorder (NMOSD) and myelin oligodendrocyte glycoprotein antibody-associated disease (MOGAD), and to identify potential microbial biomarkers with diagnostic values.Methods:A total of 16 NMOSD patients, 6 MOGAD patients, and 22 age- and sex-matched healthy controls were recruited from Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology since June 2024. Fecal samples were subjected to metagenomic sequencing and untargeted metabolomics. Differential microbes were identified using LEfSe (linear discriminant analysis effect size), and receiver operating characteristic curve analysis was performed to evaluate diagnostic potential. Spearman correlation analysis was used to assess relationships between key microbes, metabolites, and serum antibody titers.Results:Distinct alterations in gut microbiota were observed in both disease groups compared with healthy controls. Ligilactobacillus salivarius was significantly enriched in both NMOSD and MOGAD patients and exhibited robust diagnostic accuracy (area under the curve=0.779 P=0.005). Metabolomics revealed that levels of ethosuximide and lysine-proline were elevated, while free fatty acids (15∶1) and 5, 6-dihydrothymine were reduced in the disease groups. Analysis results indicated that Ligilactobacillus salivarius abundance was positively correlated with aquaporin 4 antibody titers in NMOSD patients ( r=0.522, P=0.046). Conclusions:Patients with NMOSD and MOGAD have characteristic alterations in gut microbial and metabolic profiles.

Objective:To analyze the short-term clinical efficacy and safety of arsenic trioxide (ATO) combined with a modified N7 induction regimen in the treatment of children with high-risk neuroblastoma (NB).Methods:This study was a prospective, single-arm, multicenter phase Ⅱ clinical study. Sixty-seven high-risk NB children from eight units of Sun Yat-sen Memorial Hospital of Sun Yat-sen University, Wuhan Children′s Hospital of Tongji Medical College of Huazhong University of Science and Technology, First Affiliated Hospital of Guangxi Medical University, Hainan General Hospital, Affiliated Hospital of Guangdong Medical University, Kunming Children′s Hospital, Tongji Hospital of Tongji Medical College of Huazhong University of Science and Technology, and Guangdong Provincial Agricultural Reclamation Center Hospital were enrolled from January 2019 to August 2023 and were treated with ATO combined with a modified N7 induction regimen. The efficacy and adverse effects at the end of induction chemotherapy were assessed and analyzed, and the differences in the clinical characteristics were further compared between the treatment-responsive and treatment-unresponsive groups by using the Fisher′s exact test.Results:Among 67 high-risk NB children, there were 40 males (60%) and 27 females (40%), with the age of disease onset of 3.5 (2.6, 4.8) years. Primary NB sites were mostly in retroperitoneum (including adrenal gland) (56/67, 84%) and the common metastases sites at initial diagnosis were distant lymph node in 25 cases (37%),bone in 48 cases (72%),bone marrow in 56 cases (84%) and intracalvarium in 3 cases (4%). MYCN gene amplification were detected in 28 cases (42%). At the end of induction, 33 cases (49%) achieved complete remission, 29 cases (43%) achieved partial remission, 1 case (1%) with stable disease, and 4 cases (6%) were assessed as progressive disease (PD). The objective remission rate was 93% (62/67) and the disease control rate was 94% (63/67). The percentage of central system metastases at the initial diagnosis was higher in the treatment-unresponsive group than in the treatment-responsive group (2/5 vs. 2% (1/62), P=0.013), whereas the difference in MYCN gene amplification was not statistically significant between two groups (3/5 vs.40% (25/62), P=0.786). Grade Ⅲ or higher adverse reactions during the induction chemotherapy period were myelosuppression occurred in 60 cases (90%), gastrointestinal symptoms occurred in 33 cases (49%), infections occurred in 20 cases (30%), hepatotoxicity occurred in 4 cases (6%), and cardiovascular toxicity occurred in 1 case (2%). There were no chemotherapy-related deaths. Conclusion:ATO combined with N7-modified induction regimen had a superiority in efficacy and safety, which deserved further promotion in clinical practice.

Objective To investigate the incidence rate,clinical characteristics,and prognosis of neonatal stroke in Shenzhen,China.Methods Led by Shenzhen Children's Hospital,the Shenzhen Neonatal Data Collaboration Network organized 21 institutions to collect 36 cases of neonatal stroke from January 2020 to December 2022.The incidence,clinical characteristics,treatment,and prognosis of neonatal stroke in Shenzhen were analyzed.Results The incidence rate of neonatal stroke in 21 hospitals from 2020 to 2022 was 1/15 137,1/6 060,and 1/7 704,respectively.Ischemic stroke accounted for 75％(27/36);boys accounted for 64％(23/36).Among the 36 neonates,31(86％)had disease onset within 3 days after birth,and 19(53％)had convulsion as the initial presentation.Cerebral MRI showed that 22 neonates(61％)had left cerebral infarction and 13(36％)had basal ganglia infarction.Magnetic resonance angiography was performed for 12 neonates,among whom 9(75％)had involvement of the middle cerebral artery.Electroencephalography was performed for 29 neonates,with sharp waves in 21 neonates(72％)and seizures in 10 neonates(34％).Symptomatic/supportive treatment varied across different hospitals.Neonatal Behavioral Neurological Assessment was performed for 12 neonates(33％,12/36),with a mean score of(32±4)points.The prognosis of 27 neonates was followed up to around 12 months of age,with 44％(12/27)of the neonates having a good prognosis.Conclusions Ischemic stroke is the main type of neonatal stroke,often with convulsions as the initial presentation,involvement of the middle cerebral artery,sharp waves on electroencephalography,and a relatively low neurodevelopment score.Symptomatic/supportive treatment is the main treatment method,and some neonates tend to have a poor prognosis.