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.

Background: and Purpose Vertebrobasilar fusiform aneurysms (VBFAs) carry substantial morbidity and mortality, but optimal management for unruptured VBFAs remains unclear. We compared the safety and efficacy of conservative management (CM), stent-assisted coiling (SAC), and flow diverters (FDs) in patients with unruptured VBFAs, focusing on long-term prognosis. Methods: This study included data from a nationwide Chinese cohort of patients with vertebrobasilar dissecting aneurysms. Inverse probability of treatment weighting (IPTW) balanced confounders across groups. The primary outcome was poor prognosis (modified Rankin Scale score >2). Secondary outcomes included aneurysm rupture, ischemic stroke, compression symptoms, and VBFA-related deaths. Logistic regression estimated odds ratios (ORs) and 95% confidence intervals (CIs). Subgroup and sensitivity analyses were performed. Results: Among 1,115 patients with unruptured VBFAs, 838 (median age, 54 years; 655 men) were included. After IPTW, baseline characteristics were balanced. Median follow-up was 54 months. FD was associated with a lower risk of poor prognosis than CM (OR, 0.48 [95% CI, 0.30 to 0.77]; p=0.002), with no difference between CM and SAC. FD also reduced aneurysm rupture (OR, 0.20 [95% CI, 0.07 to 0.60]; p=0.004) and compression symptoms (OR, 0.30 [95% CI, 0.13 to 0.68]; p=0.004) versus CM. Time-to-event analyses further revealed significant differences in vertebral artery lesions and Type I–II VBFAs, whereas no significant differences were observed in basilar or vertebrobasilar junction lesions or in Type III–IV VBFAs. Conclusions Compared with CM, FD was associated with improved long-term outcomes in unruptured VBFAs, particularly in vertebral artery lesions and Type I–II VBFAs, although residual confounding cannot be excluded.

With the rapid development of social economy and the continuous improvement of human living standard, the incidence, fatality and recurrence rates of cardiovascular disease (CVD) are increasing year by year, which seriously affects people's life and health. Conventional therapeutic drugs have limited improvement on the disability rate, so the search for new therapeutic drugs and action targets has become one of the hotspots of current research. In recent years, the therapeutic role of the natural compound rosmarinic acid (RA) in CVD has attracted much attention, which is capable of preventing CVD by modulating multiple signalling pathways and exerting physiological activities such as antioxidant, anti-apoptotic, anti-inflammatory, anti-platelet aggregation, as well as anti-coagulation and endothelial function protection. In this paper, the role of RA in the prevention of CVD is systematically sorted out, and its mechanism of action is summarised and analysed, with a view to providing a scientific basis and important support for the in-depth exploration of the prevention value of RA in CVD and its further development as a prevention drug.

Body weight abnormalities, including overweight, obesity, and underweight, have become a dual public health challenge in Chinese adults: overweight and obesity lead to a variety of chronic complications, while underweight increases the risks of malnutrition, sarcopenia, and organ dysfunction. To systematically address these issues, multidisciplinary experts in endocrinology, sports science, nutrition, and psychiatry from various regions have held multiple weight management seminars. Based on the latest epidemiological data and clinical evidence, they expanded the guideline to include assessment and intervention strategies for underweight, in addition to the core content of obesity management. This guideline outlines the etiological mechanisms, evaluation methods, and multidimensional management strategies for overweight and obesity, covering key areas such as diagnosis and assessment, medical nutrition therapy, exercise prescription, pharmacological intervention, and psychological support. It is intended to provide a scientific and standardized approach to weight management across the adult population, aiming to curb the rising prevalence of obesity, mitigate complications associated with abnormal body weight, and improve nutritional status and overall quality of life.

This study aims to investigate the effects of aflatoxin B1(AFB1)on the infection and replication of porcine delta coronavirus(PDCoV).Porcine small intestinal epithelial cells(IPEC-J2),porcine kidney cells(LLC-PK)and swine testis cells(ST)were used as models,and CCK-8 method was used to detect the safe mass concentration range of AFB1 on the three cell lines.Each cell line was divided into the blank control group,AFB1 treatment group,PDCoV treatment group and AFB1 and the PDCoV co-treatment group.The cells were treated with safe mass concentration of AFB1 for 12 h,and then treated with PDCoV for 20 h.Total RNA and total protein were extrac-ted from the cells.The effects of AFB1 on PDCoV infection and replication were detected by qPCR,Western blot and cell immunofluorescence tests.The results showed that compared with the PDCoV treatment group,the mRNA and N protein of viral S protein in the AFB1 and PDCoV co-treatment group were significantly increased(P＜0.05),and a significantly higher fluorescence of PDCoV N protein is also visibly present in the co-treatment group,and there was a significant difference between the two groups.The results showed that AFB1 could promote the infection and replication of PDCoV.It provides important data that AFB1 can promote the infection replication of PDCoV and provides a new idea for the prevention and treatment of PDCoV.

Objective To investigate the effect of individual pretreatment of preoperative medical multi-dimensional carbohydrates on intraoperative body temperature in elderly patients with hip replacement under general anesthesia. Methods A total of 81 elderly patients who underwent unilateral hip replacement in Yancheng Third People's Hospital from January 2022 to June 2024 were selected as the study subjects,and they were randomly divided into the conventional group and the pretreatment group. Both groups of patients were given routine fasting and drinking restriction before operation,and patients in the pretreatment group were given individual pretreatment of 5 mL/kg medical multi-dimensional carbohydrates 2 hours before anesthesia. The perioperative related indicators,body temperature,intraoperative hypothermia,adverse reactions during the recovery period,and pre-anesthesia gastric antral ultrasound examination results of patients in the two groups were compared. Results There was no statistically significant difference in the surgical time or intraoperative intravenous fluid infusion between the two groups (P>0.05). The anesthesia recovery time,tracheal extubation time and intraoperative bleeding volume of patients in the pretreatment group were significantly shorter/less than those in the conventional group (P<0.05). At 30 minutes,60 minutes and the end of the surgery,the body temperature of patients in the pretreatment group was significantly higher than that in the conventional group (P<0.05),and the incidences of intraoperative hypothermia and shivering in the pretreatment group were significantly lower than those in the conventional group (P<0.05). There was no statistically significant difference in the cross-sectional area (CSA) of gastric antrum,gastric volume (GV) or ratio of gastric volume/weight (GV/W) between the two groups of patients (P>0.05). Conclusion The individual pretreatment of 5 mL/kg medical multi-dimensional carbohydrates before surgery can significantly reduce the incidence of intraoperative hypothermia in elderly patients with hip replacement under general anesthesia,promote anesthesia recovery,reduce intraoperative bleeding volume and adverse reactions,and not increase the risk of reflux aspiration.

AIM To establish the near-infrared spectroscopy quantitative models for moisture,23-acetylalismol B and 23-acetylalismol C in Alismatis Rhizoma decoction pieces.METHODS The near-infrared spectroscopy(NIRS)data were collected in 95 batches of decoction pieces,after which drying method was adopted in the content determination of moisture,HPLC was applied to determining the contents of 23-acetylalismol B and 23-acetylalismol C,the quantitative models were established by partial least squares method combined with feature extraction algorithms.RESULTS The model training determination coefficients were 0.952 6,0.958 1 and 0.920 8,along with the prediction determination coefficients of 0.930 0,0.905 2 and 0.906 4,the residual prediction deviations(PRD)of 4.00,3.58 and 3.46,and the root mean square error ratios of prediction values to calibration values(RMSEP/RMSEC)of 1.15,1.11 and 1.06,respectively.CONCLUSION The quantitative models based on NIRS exhibit good prediction effects,which can be used for the rapid quality detection of Alismatis Rhizoma decoction pieces.

BACKGROUND:Finite element analysis is an advanced computer-based engineering technique that uses mathematical approximations to simulate the human body.This method accurately reflects the biomechanical characteristics within the knee,providing a powerful tool for understanding knee disease pathogenesis,optimizing surgical protocols,and developing new implant materials.OBJECTIVE:To review the establishment of finite element modelling of the knee joint and its application in the study of knee joint diseases,and look forward to the future development trend.METHODS:The first author searched the PubMed and EI databases in April 2024 by applying a computer with English search terms"finite element analysis,FEA,knee joint,finite element model,knee biomechanics,knee osteoarthritis,knee prosthesis,knee ligaments,meniscus"and searched CNKI and WanFang databases with Chinese search terms"finite element analysis,finite element model,knee joint,biomechanics,osteoarthritis,computational model,knee prosthesis,knee ligament,meniscus."Finally,75 papers were included in the analysis.RESULTS AND CONCLUSION:(1)Finite element analysis method uses medical imaging data to obtain a three-dimensional human model,simplifies the complex human joint structure into finite and interconnected units,and visually displays the internal stress distribution of the knee joint by applying external loads to the model.(2)The researchers deeply study the internal stress and strain distribution of the knee joint under different working conditions by means of finite element analysis,revealing the overloading of the articular cartilage and the decrease of load in some areas when the balance of the internal load distribution of the knee joint is changed,and that such long-term abnormal stresses cause deformation,wear and tear,and eventual loss of cartilage,which is crucial for understanding how biomechanical factors cause degenerative changes of the knee joint.(3)The effect of physical therapy methods such as Tai Chi and gait adjustment in patients with osteoarthritis of the knee joint was evaluated by finite element analysis,and the results showed that these treatments reduced the overloading of the cartilage,which provided a scientific theoretical basis for clinical treatment.(4)Clinicians are able to optimize surgical treatment strategies by performing three-dimensional reconstruction,data measurement,and simulation of surgery before surgery through finite element analysis.Furthermore,the mechanical characteristics of different prostheses can be simulated to improve the shape,material,and fixation of the prostheses,reduce patient complications,and improve patient outcomes.(5)The combination of artificial intelligence and finite element analysis makes the construction of finite element models more accurate and easy to operate,greatly contributing to the efficiency of clinicians'medical practice and patient outcomes.(6)Finite element analysis is only a digital simulation,which is still somewhat different from the real physical state.

Total knee arthroplasty(TKA)is mainly used for the treatment of advanced knee osteoarthritis.Accurate preoperative planning and rapid prosthesis recognition are essential for smooth operation and postoperative rehabilitation.However,manual prosthesis recognition rely on doctors'experience,easily leading to misdiagnosis or missed diagnosis.Recent years,artificial intelligence(AI)had been integrated with medical imaging,represented by machine learning(ML)and its branch deep learning(DL),and displayed relatively powerful auxiliary functions in TKA.The research status and application progresses of AI combined with imaging in TKA were reviewed in this article.

Objective To investigate the effect of individual pretreatment of preoperative medical multi-dimensional carbohydrates on intraoperative body temperature in elderly patients with hip replacement under general anesthesia. Methods A total of 81 elderly patients who underwent unilateral hip replacement in Yancheng Third People's Hospital from January 2022 to June 2024 were selected as the study subjects,and they were randomly divided into the conventional group and the pretreatment group. Both groups of patients were given routine fasting and drinking restriction before operation,and patients in the pretreatment group were given individual pretreatment of 5 mL/kg medical multi-dimensional carbohydrates 2 hours before anesthesia. The perioperative related indicators,body temperature,intraoperative hypothermia,adverse reactions during the recovery period,and pre-anesthesia gastric antral ultrasound examination results of patients in the two groups were compared. Results There was no statistically significant difference in the surgical time or intraoperative intravenous fluid infusion between the two groups (P>0.05). The anesthesia recovery time,tracheal extubation time and intraoperative bleeding volume of patients in the pretreatment group were significantly shorter/less than those in the conventional group (P<0.05). At 30 minutes,60 minutes and the end of the surgery,the body temperature of patients in the pretreatment group was significantly higher than that in the conventional group (P<0.05),and the incidences of intraoperative hypothermia and shivering in the pretreatment group were significantly lower than those in the conventional group (P<0.05). There was no statistically significant difference in the cross-sectional area (CSA) of gastric antrum,gastric volume (GV) or ratio of gastric volume/weight (GV/W) between the two groups of patients (P>0.05). Conclusion The individual pretreatment of 5 mL/kg medical multi-dimensional carbohydrates before surgery can significantly reduce the incidence of intraoperative hypothermia in elderly patients with hip replacement under general anesthesia,promote anesthesia recovery,reduce intraoperative bleeding volume and adverse reactions,and not increase the risk of reflux aspiration.