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 To summarize the diagnostic ideas, clinical characteristics and treatment methods of the rupture of pseudoaneurysm in the pararenal artery, so as to provide reference for the management of such condition.Methods The diagnosis and treatment process of a patient with massive retroperitoneal hemorrhage due to rupture of pseudoaneurysm in the left pararenal artery admitted to the Affiliated Hospital of Yan'an University were reported, and relevant literature was retrieved to summarize the etiology, pathogenesis, diagnosis and treatment of this disease.Results The patient was a 49-year-old male who presented with sudden onset of lumbar and abdominal pain.After admission, enhanced computed tomography (CT) scan indicated a cystic lesion in the left kidney, along with fluffy high-density and fluidic density shadows around the kidney.There was extensive extravasation of contrast agent in the lower polar artery of the left kidney, with rupture shadows, retention of contrast agent, and the extent of extravasation expanding in the venous phase and delayed phase, suggesting that the renal artery or pararenal artery had ruptured and bled.After consultation by the Department of Intervention, an urgent superselective left renal artery embolization procedure was performed.During the operation, angiography showed the “jetting sign” in the arterial phase, and the stenosis at the neck of the tumor.In the delayed phase, the contrast agent was retained accompanied with the “chimney sign”, which was consistent with the characteristics of a pseudoaneurysm.The final diagnosis was rupture and bleeding of a pseudoaneurysm of the left pararenal artery, along with the formation of a hematoma, as well as accumulation of blood and fluid in the abdominal and pelvic cavities.The patient recovered well after surgery.After a follow-up of 6 months, CT scan showed that the hematoma was basically absorbed and there were no obvious abdominal pain or other discomforts.Conclusion Rupture of pseudoaneurysm in the pararenal artery is rare in clinical practice.Treatment should be tailored to the anatomical features and the patients' condition.Multidisciplinary collaboration, precise imaging evaluation, and the application of interventional techniques can achieve efficient diagnosis and treatment, and protect the renal function to the greatest extent.

Objective To investigate the correlation between gut microbiota characteristics and immunotherapy efficacy in patients with advanced microsatellite stable (MSS) advanced gastrointestinal tumors. Methods Thirty patients with advanced MSS gastrointestinal tumors, including fourteen cases of gastric cancer and sixteen cases of colorectal cancer, who were admitted from November 1, 2022, to July 31, 2025 were enrolled. All patients underwent gut microbiota testing and received corresponding interventions on the basis of the results, followed by treatment with antiangiogenic agents combined with immunotherapy. Some patients additionally received probiotics or fecal microbiota transplantation. The primary endpoints were disease control rate (DCR) and objective response rate (ORR). The secondary endpoints were progression-free survival (PFS) and overall survival (OS). Univariate and multivariate Cox regression analyses were used to assess potential prognostic factors. Results Among the thirty patients, no complete response was observed. Two cases of partial response (PR), twelve cases of stable disease, and sixteen cases of progressive disease were recorded. The ORR was 6.7%, and the DCR was 46.7%. The median PFS was 6.4 months, and the median OS was 8.3 months. Both PR patients were classified as having a medium risk of gut microbiota dysbiosis and exhibited a Bacteroides-dominated enterotype. Multivariate analysis indicated that tumor type, liver metastasis, and bone metastasis were potential prognostic factors for PFS and OS. Conclusion Patients with a medium risk of gut dysbiosis may exhibit a relatively favorable response to immunotherapy, suggesting that gut microbiota status could serve as a potential biomarker for predicting treatment efficacy in advanced MSS gastrointestinal tumors.

Abstract To clarify the service targets, service contents, and safeguard mechanisms of the basic public service program for student vision health management, the study grounded in the current status of child and adolescent myopia prevention and control in China and integrated with the practical experience and innovative practices of Wuhan National Demonstration Area for Student Vision Health Management, takes education as the main thread and schools as the base, consolidating resources from multiple stakeholders including education administrative departments, schools, families, and professional technical service institutions. Centering on four core components—vision health education, monitoring and record keeping, risk prevention and control, and dynamic management, the study constructs a multi tiered basic public service system for vision health management of primary and secondary school students. It further proposes the use of an intelligent management platform and a "three tier color coded early warning" mechanism (red, yellow, blue) to prevent and control student myopia at the source, providing schools with replicable and operable implementation pathways to enhance the level of student vision health management.

Objective: To investigate the trends in mortality and life loss of gastric cancer in Wenzhou City, Zhejiang Province from 2014 to 2023, so as to provide the evidence for formulating the prevention and control strategy for gastric cancer. Methods: The surveillance on causes of death data of permanent residents in Wenzhou City were collected through the Wenzhou Chronic Disease Monitoring and Management Information System from 2014 to 2023. The crude mortality of gastric cancer was calculated, and standardized by the data from the Sixth Chinese National Population Census in 2010. The life loss were measured using potential years of life lost (PYLL) and rate of potential years of life lost (PYLLR). The characteristics of mortality and life loss of gastric cancer in different genders and age groups were described. The trends in mortality and PYLLR of gastric cancer were analyzed using the average annual percent change (AAPC). Results: Totally 17 080 deaths were reported due to gastric cancer in Wenzhou City from 2014 to 2023, accounting for 12.58% and ranking third in the order of malignant tumor deaths. The crude mortality of gastric cancer was 20.73/105, and the standardized mortality was 15.22/105, showing decreasing trends (AAPC=-3.311%, -6.470%, both P<0.05). The crude mortality of gastric cancer was 29.22/105 in men and 11.61/105 in women, with standardized mortality rates of 20.81/105 and 8.74/105 (both P<0.05). The crude mortality of gastric cancer appeared a tendency towards a rise with increasing age (P<0.05), reaching the highest rate of 225.88/105 in the group aged 80 to <85 years. The PYLL and PYLLR of gastric cancer were 107 607.50 person-years and 1.37‰. The PYLLR appeared a tendency towards a decline from 2014 to 2023, with AAPC of -6.667% (P<0.05). Conclusions The mortality and PYLLR of gastric cancer in Wenzhou City appeared a tendency towards a decline from 2014 to 2023. Men and the elderly populations were the key groups for the prevention and treatment of gastric cancer.

Objective To analyze the spatial distribution pattern of the potential suitable habitats for Cordyceps under current climatic conditions in China based on space characteristics and biological traits;To explore the key environmental factors affecting the spatial differentiation of its habitats.Methods The Maximum Entropy model was utilized as a predictive tool to synthesize the distribution data of Cordyceps and its associated species Polygonum viviparum and Polygonum macrophyllum,along with environmental variable data.Factor detectors and interaction detectors of geographic detectors were used to conduct geographic exploration of spatial differentiation factors in the suitable habitats of Cordyceps.Furthermore,by overlaying the potential suitable habitats of Cordyceps with surface cover types and the suitable areas of Polygonum viviparum and Polygonum macrophyllum,the specific distribution range of the potential suitable habitats for Cordyceps was refined.Results Under the current climatic conditions,altitude,the precipitation amount of the warmest season,the highest temperature in February,and the precipitation in July are the key environmental factors influencing the distribution of Cordyceps.The potential suitable habitats for Cordyceps reaches 1.18×106 km2,and considering surface cover types,the actual potential suitable habitats for Cordyceps is 7.33×105 km2.Taking into account the associated relationships between species,the actual potential suitable habitats for Cordyceps is 7.27×105 km2.Conclusion The results of this study can reflect the ecological needs of Cordyceps,promote its sustainable utilization of resources,and provide reference for maintaining biodiversity and ecosystem integrity.

Objective To analyze the spatial distribution patterns and influencing factors of potential suitable habitats for Saussurea medusa under current climatic conditions.Methods The maximum entropy(MaxEnt)model with 125 selected distribution spots data and 9 environmental factors data of Saussurea medusa as input variables for modeling.Quantitative analysis was conducted on the influencing factors of spatial differentiation in the suitable habitat area of Saussurea medusa using geographic detector factor detection and interaction detection tools.Based on land use type data and national nature reserve distribution data,the distribution range of each land use type in the suitable habitat areas for Saussurea medusa,as well as the distribution pattern of high,medium and low suitable habitat areas in national nature reserves were refined.Results Key environmental determinants included elevation,precipitation in the warmest quarter,and solar radiation in April and May.The total potential suitable habitat area spanned 1.33×106 km2,accounting for 13.89%of China's mainland.Grasslands(67.70%),forests(19.19%),barren land(5.90%),snow-covered areas(2.59%)and croplands(2.08%)dominated the suitable habitats,with 34.98%overlapping national nature reserves.Conclusion The results of this study can provide basis for understanding the ecological needs and resource conservation of Saussurea medusa.

Objective To investigate the geographical distribution patterns and influencing factors of suitable habitats for the desert medicinal plant Cynomorium songaricum Rupr under current climatic conditions;To provide a basis for its resource conservation and sustainable utilization.Methods The MaxEnt model was used to analyze potential suitable habitats for Cynomorium songaricum Rupr.Geographical Detector model was used to identify key environmental factors affecting habitat suitability.Surface cover data were overlaid to assess the distribution of sandy and Gobi regions within suitable habitats,enabling a quantitative evaluation of actual potential suitable areas.Results Model predictions indicated a total suitable habitat area of approximately 2.98×106 km2,representing 30.99%of China's mainland area.Highly suitable habitats are concentrated in desert and Gobi regions of Gansu,Xinjiang,Inner Mongolia,Qinghai and Ningxia.Among climatic factors,precipitation of the coldest quarter(bio19),solar radiation in August(srad8),and mean temperature of the coldest quarter(bio11)significantly influence Cynomorium songaricum Rupr distribution.The interaction between temperature and solar radiation intensity exhibited the highest explanatory power for habitat distribution patterns(q=0.82).Overlay analysis with surface cover data estimated the actual potential suitable area at approximately 9.70×105 km2,with sandy regions comprising 5.73×105 km2 and Gobi regions 3.98×105 km2.Conclusion By integrating multi-source data and modeling approaches,this study delineates the potential suitable habitats for Cynomorium songaricum Rupr across China and evaluates the spatial distribution characteristics and influencing factors of suitable habitats in Cynomorium songaricum Rupr.These findings offer a foundation for conserving wild Cynomorium songaricum Rupr resources,optimizing ecological planting regions,and promoting sustainable industry development.

AIM To establish a GC-MS/MS method for the analysis of volatile components in Yinhu Ganmao Powder,and to determine the contents of α-pinene,camphene,sabinene,β-pinene,α-terpinene,(+)-limonene,p-cymene,1,8-cineole,linalool,L-menthol,terpinen-4-ol,DL-menthol,α-terpineol,tridecane,pulegone,caryophyllene,humulene,n-hexadecane and patchouli alcohol.METHODS The analysis was performed on a DB-624 UI capillary column(30 m×0.25 mm×1.40 μm ),and electron ionization source was adopted with multiple reaction monitoring mode.RESULTS Fifty volatile components and twenty-five liposoluble components were identified in volatile oils and medicinal material powder,respectively.Nineteen constituents showed good linear relationships within their own ranges(r ≥ 0.999 0),whose average recoveries were 84.43％-113.31％with the RSDs of less than 9.15％.CONCLUSION This stable,accurate and reproducible method can provide a reference for the quality evaluation of Yinhu Ganmao Powder.

Objective:To investigate the effects and underlying mechanisms of Stat3 knockout in donor T cells on acute gastrointestinal graft-versus-host disease (GI-aGVHD) .Methods:BALB/c mice were exposed to lethal irradiation and transplanted with bone marrow and spleen cells from BALB/c mice (syngeneic control group), C57BL/6 mice (wild-type T cell group, WT group), or C57BL/6J-Stat3 em1cyagen mice (Stat3 gene knockout T cell group, Stat3-KO group) via tail vein injection to establish the aGVHD model. The survival rate, body weight changes, and clinical scores of mice were monitored. Cytometric bead array (CBA) was used to detect the concentrations of serum cytokines. Lymphocytes were isolated from tissues for flow cytometric analysis. H&E staining was performed to observe intestinal pathological changes. FITC-dextran assay was conducted to assess intestinal permeability. Immunohistochemistry was used to evaluate the expression of Ki67 and Muc2. Real-Time Quantitative Reverse Transcription PCR (qRT-PCR) was employed to analyze the gene expression levels of Olfm4, Lysozyme, and Muc2 in the small intestine. Metabolomics was conducted to detect metabolites in serum and intestinal tissues. An in vitro GI-aGVHD organoid model was established by coculturing intestinal organoids with allogeneic T cells, where the number and area of small intestinal organoids were recorded. The GVL effect was assessed using luciferase-transfected ALL cells (ALL/Luc) and bioluminescent imaging. Results:Compared with the WT group, Stat3 knockout T cells alleviated body weight loss, reduced symptoms—such as hunchback and diarrhea—in mice, improved survival rate ( P<0.05), and reduced serum interleukin (IL) -2, IL-6, interferon-γ, tumor necrosis factor-α, IL-17A, and IL-10 levels (all P<0.05), intestinal inflammatory cell infiltration ( P<0.05), and intestinal mucosal permeability. Further, Muc2 and Ki67 expression levels in the small intestine of the Stat3 knockout group were markedly increased, and Olfm4, Lysozyme, and Muc2 gene expression levels were significantly increased (all P<0.05). In vitro, the Stat3 knockout group demonstrated better organoid development than the WT group. Metabolomic analyses indicated that Stat3 knockout in T cells may affect the pathways associated with bile acid secretion and unsaturated fatty acids. ALL/Luc cells in the GVL mouse model proliferated rapidly in the TCD-BM group; however, 80% of the mice in the Stat3-KO group survived tumor-free for >100 days ( P<0.05) . Conclusion:Knocking out Stat3 in graft T cells reduces T cell damage to intestinal stem cells, thereby ultimately alleviating GI-aGVHD while maintaining a stable GVL effect.