ObjectiveBiochemistry and Molecular Biology, a discipline that elucidates life phenomena at the molecular level, serves as a core foundational course in medical education. It provides the theoretical basis for studying other basic and clinical medical subjects, as well as for understanding pathogenesis, disease diagnosis, and treatment. However, its complex content and highly abstract concepts have posed a dual challenge to traditional teaching models: “inefficient instruction” and “inadequate learning outcomes”. Within limited classroom hours, how to engage students and stimulate their intrinsic motivation, and how to help them recognize, understand, and develop a passion for biochemistry from the perspective of the discipline’s essence, have long been key focuses of curriculum research. MethodsUsing the lipid metabolism chapter as an example, this study employs “Rain Classroom”, a generative artificial intelligence (AI)-assisted platform, to support education in four dimensions: teaching, learning, evaluation, and research. In teaching, it assists instructors through virtual experiments, lesson preparation support, knowledge mapping, and assignment design. For learning, it serves as an intelligent study assistant for students, providing automated assignment review, enabling educational resource sharing, and facilitating personalized learning pathways. In evaluation, the platform automates assignment grading, analyzes student performance data, and offers diagnostic feedback and teaching recommendations. In research, it aids educators in collecting and analyzing teaching data, as well as searching for and summarizing relevant literature. ResultsThe results indicate that an educational model integrating teacher-led instruction, student-centered learning, and generative AI assistance significantly enhances teaching quality, students’ self-directed learning abilities, and knowledge mastery. Furthermore, with the support of generative AI, curriculum-based ideological education—focusing on cutting-edge disciplinary advances and topical medical issues—helps cultivate students’ medical spirit of “honoring life and healing the wounded”, thereby fostering the establishment of appropriate professional values. Finally, while generative AI presents both opportunities and challenges for higher education, this study also analyzes potential risks in its teaching applications, emphasizing the need for both instructors and students to avoid over-reliance and to ensure that technological tools consistently serve the fundamental goals of education. ConclusionThis study demonstrates that integrating generative AI, specifically via the “Rain Classroom” platform, can effectively enhance biochemistry education. By supporting teaching, learning, evaluation, and research, this approach improves both educational effectiveness and student outcomes. It also facilitates the incorporation of cutting-edge knowledge and professional ethics, nurturing a patient-centered mindset. Additionally, the study addresses potential implementation risks to ensure that such technological tools remain aligned with the core purpose of education.

Objective: The cross sectional study aimed to identify predominant co-occurrence patterns among six common mental health issues in college students, so as to provide empirical basis for designing targeted interventions. Methods: From October 2024, a total of 9 837 students from 4 universities in Xiangtan City, Hunan Province, participated in the current study by multistage random cluster sampling method. Participants completed self report measures, including the Patient Health Questionnaire-9 (PHQ-9), Generalized Anxiety Disorder 7 item Scale (GAD-7), Young s Internet Addiction Diagnostic Questionnaire, the Adolescent Insomnia Symptom Self rating Scale, the Ottawa Self injury Inventory, and the Brief Community Assessment of Psychic Experiences Questionnaire. Demographic and co-occurrence characteristics were first compared using Chi square or trend Chi-square tests, followed by application of the Apriori algorithm to mine association rules for primary co-occurrence patterns. Results: The detection rate of co-occuring the common mental health issues was 46.44%. The detection rate was significantly higher in female than in male students (50.42%, 43.61%; χ 2=44.46) and in students from rural versus urban areas (47.22%, 44.60%; χ 2=5.67) (both P <0.05). Significant differences were observed among freshmen, sophomores, juniors, and seniors (46.63%, 48.35%, 45.05% , 43.66%, respectively; χ 2=9.22, P <0.05), although no statistically significant trend was detected ( χ 2 trend =3.75, P = 0.05 ). Association rule mining identified “anxiety + depression” “anxiety + psychotic experiences + depression” and “anxiety + sleep disorder + depression” as the combinations with the highest support. In addition, “anxiety+depression+Internet addiction+psychotic experiences =>sleep disorder (>= refered to the occurrence of the latter item under the condition that the former item occurs)” and “anxiety + depression+Internet addiction=>sleep disorder” were combinations with relatively high confidence. Conclusions Co-occurrence of these mental health issues among college students is high and exhibits diverse patterns. Strategies to address this burden should prioritize integrated interventions that target these specific combinations of factors.

This article reviews the challenges faced by research teams in China, and drawing on advanced management modes both in China and abroad, proposes a "dual optimization of management modes, stable and efficient platform support, and flexible and precise talent development" mode for research team construction and student cultivation. Specifically, this mode includes promoting flexible team management through enhanced two-way feedback between mentors and students, improving shared experimental platforms to increase resource utilization efficiency, and designing tailored training programs that align with individual student needs. The aim is to enhance team cohesion, improve the communication, collaboration, and innovation in basic medical research teams, and ultimately raise the quality of talent development in universities.

Objective:To investigate the application value of photon-counting detector CT (PCD-CT) in preoperative identification of critical anatomical structures and surgical assessment in pancreatic cancer, and to compare its performance with conventional energy-integrating detector CT (EID-CT) in delineating tumor margins, vascular structures, and neural anatomy.Methods:This single-center retrospective matched case-control study included 25 patients with pathologically confirmed pancreatic ductal adenocarcinoma who underwent PCD-CT enhanced scanning and curative surgery at Peking Union Medical College Hospital between February and June 2025 (PCD-CT group). These patients were matched in a 1∶2 ratio to 50 patients who underwent EID-CT between January 2016 and December 2024 and subsequently received curative surgery (EID-CT group). Tumor boundary clarity, vascular visualization scores, and neural structure visibility were subjectively evaluated using the Likert scoring system. The assessed vessels included the celiac artery, common hepatic artery, superior mesenteric artery, splenic artery, portal vein, superior mesenteric vein, splenic vein, and pancreaticoduodenal arterial arcade. Imaging-based assessment of structural involvement was compared with intraoperative findings and pathological results to calculate diagnostic accuracy. Surgeons rated the usefulness of PCD-CT images for identifying key structures and determining resectability using a 5-point Likert scale. The Mann-Whitney U test was used for group comparisons of subjective scores, and categorical data were analyzed using the χ2 test or Fisher exact test. Results:The PCD-CT group showed significantly higher scores for tumor boundary clarity, vascular visualization, and neural structure detectability than those of the EID-CT group (all P<0.05). The accuracy of assessing superior mesenteric vein involvement was 96.0% (24/25) in the PCD-CT group and 72.0% (36/50) in the EID-CT group, with a significant difference ( χ2=6.00, P=0.014). Postoperative surgeon evaluations indicated that PCD-CT provided substantial assistance for both key structure identification [5 (5, 5)] and resectability assessment [5 (4, 5)]. Conclusion:PCD-CT demonstrates superior performance over EID-CT in preoperative delineation of tumor margins, vascular structures, and neural anatomy and in the assessment of structural involvement in pancreatic cancer. It provides valuable anatomical information to support preoperative evaluation and surgical decision-making.

Aim To explore the mechanism of luteolin in alleviating hepatic fibrosis.Methods C57BL/6 mice were randomly divided into the control group,CCl4 group,silybin group(100 mg·kg-1)and luteo-lin group(100 mg·kg-1).After 10-week modeling and 2-week treatment,the serum levels of aminotrans-ferase and liver histopathology were examined.Hepatic fibrosis and autophagy-related gene expression were as-sessed using immunohistochemistry and immunofluores-cence.Human hepatic stellate cell line(LX2)was cultured and divided into control,TGF-β1(10 mg·L-1),TGF-β1+silybin(40 μmol·L-1),TGF-β1+luteolin(40 μmol·L-1).Fibrotic and autophagy-re-lated markers were analyzed using quantitative real-time PCR,Western blot,immunofluorescence and MDC staining.Results Compared with the CCl4 group,the treatment groups showed significantly improved liver function and reduced hepatic fibrosis,with markedly downregulated COL1A1 and α-SMA expression,and luteolin demonstrated superior efficacy.Compared with TGF-β1 group,luteolin treatment significantly de-creased mRNA levels of COL1A1,ACTA2 and MAP1LC3B,while increasing the mRNA level of SQSTM1,the protein levels of COL1A1 and α-SMA de-creased,p62 was enhanced,the LC3Ⅱ/Ⅰ ratio was downregulated,and autophagy was reduced.These effects of luteolin were reversed by autophagy inducer rapamycin.Conclusion Luteolin alleviates liver fi-brosis by decreasing the autophagy of hepatic stellate cells.

To effectively carry out community health education and prevention and control of chronic obstructive pulmonary disease(COPD),we conducted a questionnaire survey on the awareness of COPD knowledge among residents aged 40 and above in Jiading District of Shanghai by using two-stage sampling method.We included 1 783 permanent residents in 4 districts and collected 1 666 valid questionnaires.The awareness rates of COPD name,pulmonary function test and related knowledge were 15.9%,11.9%and 17.2%,respectively.For the main symptoms of COPD,the awareness rate of sputum was the lowest(65.2%),of shortness of breath and dyspnea was the highest(78.4%).For the risk factors,the awareness rate of severe respiratory tract infection in childhood was the lowest(67.3%),of smoking was the highest(86.8%).Multiple response analysis showed that mobile phones and computers accounted for the highest proportion of acquiring knowledge of COPD(66.7%).Multivariate logistic regression analysis showed that low educational level,low monthly income,engaged in production and manufacturing,never or less exercise,no use of indoor air improvement measures,no wearing of masks in public places and no vaccination of influenza vaccine per year were associated with lower awareness rate of COPD.The community should improve the way and ability of health science popularization,and carry out health education for key groups.

Objective To summarize the potential risk factors that may arise in the national drug sampling and testing inspection process in recent years,to focuse on the operation of the quality management system,and to put forward proposals on how to do a good job under the new drug regulatory model of sampling and testing work.Methods Focusing on the investigation of data integrity and authenticity,the analysis focuses on the analysis of risk points such as reagent management,standard substance management,instrument,and facility management,electronic data management and other issues,and carries out a comprehensive verification of the effectiveness of the operation of the quality management system and so on.Results National drug sampling and testing institutes should strengthen the overall quality management,according to the operation of the laboratory,combined with their respective risk characteristics,reagent management,standard substance management,instrument and facility management,electronic data management and other aspects of the risk of systematic sorting and the establishment of the risk alert function,the development of risk warning lists,and the implementation of the corresponding risk control strategy.Conclusion National drug sampling and testing institutes must strengthen the operation of the process of influencing factors in the effective control of the emphasis on the testing of the work of the key control points and continue to standardize and improve the inspection process of the quality system to ensure that the quality of the various activities in a controlled state.

Aim To compare the observation results of atomic force microscopy(AFM)and scanning electron microscopy(SEM),and to summarize the main problems and solutions of AFM in observing biological macromolecules,using the observa-tion subjects of protein samples purified by our research group.Methods The protein samples were diluted to 15 nmol·L-1 with PBS,fixed on glass slides,silicon wafers,and mica sheets,dried,and made into solid-phase observation samples.SEM sam-ples were plated with platinum before observation.The surface structures of proteins were observed using AFM and SEM,sample heights were calculated,and differences in results were com-pared.Results Protein samples with positive charges tended to shift to the right during observation due to the repulsion of the AFM probe;mica sheets could effectively eliminate the positive charge of proteins to avoid sample movement;PBS provided a stable environment for protein samples,but the crystallization of PBS salts interfered with probe operation and imaging clarity;SEM samples needed to be plated with platinum before observa-tion and could not achieve the precision of AFM.Conclusions Both AFM and SEM can directly observe protein structures in vitro,with AFM providing higher precision results;when protein sample stability permits,ultrapure water is preferred as the sol-vent carrier,and volatile liquids such as ethanol can also serve as solvent carriers.The application of AFM offers a new approach for pharmacological studies on interactions between biological macromolecules.

Objective:To investigate the application value of photon-counting detector CT (PCD-CT) in preoperative identification of critical anatomical structures and surgical assessment in pancreatic cancer, and to compare its performance with conventional energy-integrating detector CT (EID-CT) in delineating tumor margins, vascular structures, and neural anatomy.Methods:This single-center retrospective matched case-control study included 25 patients with pathologically confirmed pancreatic ductal adenocarcinoma who underwent PCD-CT enhanced scanning and curative surgery at Peking Union Medical College Hospital between February and June 2025 (PCD-CT group). These patients were matched in a 1∶2 ratio to 50 patients who underwent EID-CT between January 2016 and December 2024 and subsequently received curative surgery (EID-CT group). Tumor boundary clarity, vascular visualization scores, and neural structure visibility were subjectively evaluated using the Likert scoring system. The assessed vessels included the celiac artery, common hepatic artery, superior mesenteric artery, splenic artery, portal vein, superior mesenteric vein, splenic vein, and pancreaticoduodenal arterial arcade. Imaging-based assessment of structural involvement was compared with intraoperative findings and pathological results to calculate diagnostic accuracy. Surgeons rated the usefulness of PCD-CT images for identifying key structures and determining resectability using a 5-point Likert scale. The Mann-Whitney U test was used for group comparisons of subjective scores, and categorical data were analyzed using the χ2 test or Fisher exact test. Results:The PCD-CT group showed significantly higher scores for tumor boundary clarity, vascular visualization, and neural structure detectability than those of the EID-CT group (all P<0.05). The accuracy of assessing superior mesenteric vein involvement was 96.0% (24/25) in the PCD-CT group and 72.0% (36/50) in the EID-CT group, with a significant difference ( χ2=6.00, P=0.014). Postoperative surgeon evaluations indicated that PCD-CT provided substantial assistance for both key structure identification [5 (5, 5)] and resectability assessment [5 (4, 5)]. Conclusion:PCD-CT demonstrates superior performance over EID-CT in preoperative delineation of tumor margins, vascular structures, and neural anatomy and in the assessment of structural involvement in pancreatic cancer. It provides valuable anatomical information to support preoperative evaluation and surgical decision-making.

AIM To establish an HPLC method for the simultaneous content determination of 5-hydroxymethylfurfural,chlorogenic acid,caffeic acid,strychnine,paeoniflorin,ferulic acid,paeoniflorin Ⅰ,epimedium glycoside,psoralen,isopsoralen and glycyrrhetinic acid in Bunao Soft Capsules.METHODS The analysis was performed on a 35 ℃ thermostatic Waters Symmetry C18 column(250 mm×4.6 mm,5 μm),with the mobile phase comprising of acetonitrile-0.1％phosphoric acid flowing at 1.0 mL/min in a gradient elution manner,and the detection wavelengths were set at 230,280 nm.RESULTS Eleven constituents showed good linear relationships within their own ranges(r＞0.999 0),whose average recoveries were 98.47％-103.30％with RSDs of 1.13％-2.80％.CONCLUSION This simple and reliable method can be used for the quality control of Bunao Soft Capsules.