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: The hypotension prediction index (HPI) is an algorithm designed to predict hypotension. Some studies have reported that HPI-guided hemodynamic management strategies decrease intraoperative hypotension and complications; however, the effect of HPI on reducing perioperative complications is controversial. This meta-analysis aimed to assess the efficacy of the HPI in reducing major complications and intraoperative hypotension. Methods: We conducted this meta-analysis according to the PRISMA statement and Cochrane Handbook guidelines. A comprehensive literature review was conducted to identify studies focusing on the efficacy of HPI-guided management in reducing intraoperative hypotension and postoperative complications. The PubMed, Embase, Scopus, and Web of Science databases were searched, and the resulting data were combined to calculate the pooled mean differences or risk ratios (RRs) with 95% CIs of both randomized controlled trials (RCTs) and retrospective studies, as appropriate. Heterogeneity and potential publication bias were also assessed. Results: Nineteen articles (12 RCTs and 7 retrospective studies) with 2570 recruited patients were included in this meta-analysis. The critical evaluation of the study quality revealed a low risk of bias in the included RCTs. Among the non-randomized trials, one was rated 7, two were rated 8, and the remaining four were rated 9 on the Newcastle-Ottawa Scale, indicating high quality and a low risk of bias. HPI-guided management significantly reduced intraoperative hypotension and associated major complications (RR = 0.79, 95% CI [0.69–0.90], I2 = 0, P < 0.001). Blood loss and length of hospital stay were comparable between the groups. Conclusions HPI-guided management significantly reduced intraoperative hypotension and major complications.

Hepatocellular carcinoma (HCC) imposes a major health and economic burden worldwide, with disproportionate effects in low- and middle-income countries (LMICs). Surveillance in high-risk populations, typically using semiannual ultrasound and alpha-fetoprotein testing, has been shown to be cost-effective by enabling earlier detection and improving survival. Yet, its overall value is reduced by poor adherence and the limited sensitivity of ultrasound, particularly in patients with metabolic-associated steatotic liver disease. Emerging approaches—including abbreviated magnetic resonance imaging, multi-biomarker models (e.g., gender, age, AFP, AFP-L3, and DCP), and liquid biopsy assays such as methylated DNA markers—demonstrate greater diagnostic accuracy and potential economic advantages compared with conventional methods. Integration of artificial intelligence into imaging may further enhance efficiency and reduce downstream costs. Moving toward precision surveillance, guided by individualized risk stratification that incorporates etiology, fibrosis stage, and molecular profiles, can optimize allocation of resources and maximize cost-effectiveness at the population level. Interventions to improve adherence, including mailed outreach and behavioral economic incentives, have shown both clinical benefit and cost savings, underscoring the role of implementation science. Because socioeconomic disparities influence both access and outcomes, economic models must explicitly address equity to achieve sustainable impact. Future research should prioritize prospective trials that evaluate not only clinical performance but also the real-world cost-effectiveness of novel technologies and stratified surveillance strategies. For LMICs, adapting proven models into affordable, context-appropriate programs is essential. By combining prevention, precision risk assessment, innovative technologies, and equitable implementation, HCC surveillance can deliver both clinical and economic value, reducing the global burden of disease.

ObjectiveTo investigate the trends in the disease burden of falls among Chinese children and adolescents from 1990 to 2021, and to inform the development of targeted prevention and control strategies. MethodsData on age-standardized incidence rate, age-standardized mortality rate and age-standardized disability-adjusted life years (DALYs) rate for falls among Chinese children and adolescents under 20 years of age from 1990 to 2021 were systematically extracted from the Global Burden of Disease Study (GBD) 2021 database. The annual percent change (APC) and average annual percent change (AAPC) were calculated to evaluate temporal trends in fall-related disease burden across different age groups and sexes. ResultsFrom 1990 to 2021, the age-standardized incidence rate of falls among Chinese children and adolescents showed a non-linear fluctuation (AAPC=0.08%, P=0.040), while both the age-standardized mortality rate and age-standardized DALYs rate declined (AAPC=-3.66% and -3.09%, both P<0.001). The crude incidence rate decreased in the <5 years old and 5 ‒ <10 years old groups (AAPC=-1.38% and -0.29%, both P<0.001), but increased annually in the 10 ‒ <15 years old and 15 ‒ <20 years old groups (AAPC=0.27% and 0.81%, both P<0.001). The crude mortality rate and crude DALYs rate declined across all four age groups, with the most significant reduction observed in the <5 years old group (AAPC=-5.21%, 95%CI:-5.55%‒ -5.00%; AAPC=-4.98%, 95%CI: -5.20%‒ -4.79%, both P<0.001). For both males and females, the age-standardized incidence rate of falls showed a V-shaped trend (initial decline followed by a subsequent rise). In contrast, the age-standardized mortality rate and age-standardized DALY rate declined in both sexes, with an AAPC of -3.40% and -2.94% for males, and -4.50% and -3.49% for females, respectively (all P<0.001). ConclusionThe overall disease burden of falls among Chinese children and adolescents has been substantially improved; however, the incidence burden remains considerable. Future prevention efforts should be tailored to age- and sex-specific characteristics, with the family as the fundamental care unit in conjunction with high-quality nursing extension services, to establish a closed-loop management model encompassing “early identification, immediate intervention, and continuous follow-up.”

ObjectiveTo investigate the value of preoperative dual-layer spectral detector CT （DLCT） parameters in predicting lymph node metastasis （LNM） of non-functional pancreatic neuroendocrine neoplasms （NF-pNENs）. MethodsA retrospective study was conducted on patients with pathologically confirmed NF-pNENs who underwent preoperative contrast-enhanced DLCT examination between September 2019 and July 2024. Regions of interest （ROIs） were manually delineated on three representative slices of the solid component of the lesion， and the mean values were recorded. Conventional CT parameters， monochromatic energy images （40 keV， 70 keV， 100 keV）， iodine concentration maps， and effective atomic number （Z_eff） maps in the pancreatic parenchymal phase and portal venous phase were acquired. A total of 34 parameters， including clinical characteristics， imaging features， conventional CT and DLCT quantitative parameters， were analyzed. Intergroup differences were compared between the LNM and non-LNM groups. Independent predictive factors were screened using logistic regression and least absolute shrinkage and selection operator （LASSO） regression. Receiver operating characteristic （ROC） curves were generated for each predictive model， and the area under the curve （AUC） was calculated to evaluate the predictive efficacy. ResultsA total of 82 patients with NF-pNENs were enrolled， including 37 males and 45 females， with a mean age of 49.7±14.7 years. Thirty patients were performed with LNM and 52 were with non-LNM. After univariate logistic regression， LASSO regression and multivariate stepwise logistic regression analyses， body mass index （BMI）， organ invasion， normalized CT value in the portal venous phase （nCTv） and normalized iodine concentration in the portal venous phase （nICv） were identified as independent predictive factors. The AUCs of the clinical-radiological qualitative model （BMI+organ invasion）， conventional CT model （nCTv）， DLCT model （nICv） and comprehensive model （organ invasion+nICv） were 0.815 （0.719， 0.910）， 0.750 （0.642， 0.858）， 0.829 （0.733， 0.925） and 0.865 （0.879， 0.953）， respectively. The comprehensive model combining clinical-radiological and DLCT characteristics exhibited superior predictive performance. ConclusionDLCT parameters are more effective than conventional CT parameters in predicting LNM in NF-pNENs， enabling non-invasive preoperative prediction and assisting clinical decision-making.

ObjectiveTo explore the key genes influencing diacylglycerol metabolism in neuroblastoma （NB）， clarify the expression and clinical significance of diacylglycerol acyltransferase 2 （DGAT2） in NB， and provide a theoretical basis for the diagnosis and targeted therapy of NB. MethodsNB transcriptome data were obtained from GEO （GSE49710） and TCGA （TARGET-NBL） databases. Differentially expressed genes （DEGs） commonly upregulated in MYCN-amplified groups were screened， and the key gene DGAT2 was identified by intersecting the screened DEGs with the diacylglycerol metabolism-related gene set followed by prognostic analysis and comparison. The expression of DGAT2 was analyzed via the R2 database. The potential impact of DGAT2 on the immune microenvironment was explored by combining the single-cell dataset GSE137804. Immunohistochemistry （IHC） was used to detect the expression level of DGAT2 and its correlation with MYCN expression in 55 clinical NB tissues and mouse xenograft tumor tissues. ResultsA total of 907 DEGs commonly upregulated in the MYCN-amplified groups were screened， among which three DEGs were highly expressed in the diacylglycerol metabolism-related gene set （P＜0.05）. After comparison， DGAT2 was found to have the most significant impact on prognosis （HR=1.4， 95% CI：1.2，1.7； P=5.41×10^-7）. Survival analysis showed that patients with high DGAT2 expression had a significantly shorter overall survival. Single-cell analysis revealed that high expression of DGAT2 led to an immunosuppressive microenvironment in NB. IHC results showed that the expression of DGAT2 in NB tissues was significantly positively correlated with MYCN expression in the tumor tissue microarrays of clinical NB patients and the tissues of mouse ectopic xenograft tumors （r_s=0.369 4，P＜0.01）. ConclusionsDGAT2 is highly expressed in MYCN-amplified NB， and may independently predict poor prognosis in NB patients. It is expected to become a diagnostic marker for NB and a potential therapeutic target for MYCN-amplified NB.

ObjectiveTo investigate early nutrition and growth of preterm monochorionic diamniotic（MCDA） twins combined with selective intrauterine growth restriction（sIUGR） and explore the potential role of DNA methylation in regulating extrauterine growth. MethodsTwenty-four pairs of preterm MCDA twins combined with sIUGR hospitalized in the Department of Neonatology of The First Affiliated Hospital of Sun Yat-sen University from March 2019 to February 2022 were enrolled， divided into larger twins group（n=24） and smaller twins group （n=24） according to birth weight. The comparison of daily nutritional intakes， the incidence of neonatal complications and physical growth from birth to 24 months of corrected age between two groups was performed using t-test， analysis of ANOVA， Chi-square test or Fisher's exact test. Differential DNA methylation analysis was performed using the methylation microarrays and differentially methylated site was validated using pyrosequencing method. ResultsThere were no significant differences in the daily intake of carbohydrate， protein， fat and energy between two groups （all P＞0.05）. There were no significant differences in the incidence of asphyxia， neonatal respiratory distress syndrome， bronchopulmonary dysplasia， retinopathy of prematurity and necrotizing enterocolitis between two groups （all P＞0.05）. Z-scores for weight， length and head circumference were significantly lower in the smaller twins group compared with the larger twins group from birth to 24 months of corrected age（all P =0.000）. Difference in Z-scores for weight and length at term， 6 months， 12 months of corrected age did not differ significantly from that at birth（all P＞0.05） while difference in Z-scores for weight and length between the twins at 18 months and 24 months of corrected age were significantly lower than that at birth （P = 0.009， P = 0.032， P = 0.026， P = 0.004）. Difference in Z-scores for head circumference at 6 months， 12 months， 18 months， 24 months of corrected age were significantly lower than at birth （P = 0.001， others P = 0.000） except at term（P＞0.05）. The differences in weight， length and head circumference between the twins at term， 6 months， 12 months， 18 months and 24 months of corrected age significantly reduced （P = 0.001， P = 0.007， P = 0.001， others P = 0.000）. Eighteen differentially methylated sites were identified and the methylation level of NFATC1 gene in the smaller twins group was significantly higher than that in the larger twins group（P = 0.043）. ConclusionMCDA twins combined with sIUGR shares similar early nutrition and neonatal complications， while smaller twins at 24 months of corrected age grow faster than larger twins， which might be related to a higher methylation level of NFATC1 gene in smaller twins.

ObjectiveTo explore the application effects of environmentally friendly reagents versus traditional reagents in tissue processing， paraffin sectioning， hematoxylin-eosin （HE） staining， special staining， and immunohistochemistry. MethodsPancreatic， renal， splenic， hepatic， pulmonary， skeletal muscle， and cardiac tissues were collected from mice and New Zealand rabbits， and randomly divided into a traditional group （Group A）， an environmentally friendly reagent I group （Group B）， and an environmentally friendly reagent Ⅱ group （Group C）. The processed tissue sections from all three groups were subjected to paraffin sections， HE staining， phosphotungstic acid-hematoxylin staining， and Mallory trichrome staining. The pancreatic tissue sections were subjected to immunohistochemical detection of insulin protein. Evaluation criteria included tissue morphological integrity， embedding operability， section quality， and staining effects. ResultsNo significant differences were observed among the three groups of samples in terms of fixation efficacy， embedding operations， and section quality. After HE staining， all groups exhibited bright nuclear and cytoplasmic staining with clear contrast， with excellent-and-good rates of 98%， 99%， and 97% for Groups A， B， and C， respectively， showing no statistically significant differences （A vs. B， P=0.561； A vs. C， P=0.651）. In phosphotungstic acid-hematoxylin staining， Groups A and C showed clear structural contrast and bright staining for striated muscle and collagen fibers， whereas Group B exhibited uneven staining. The excellent-and-good rates were 100%， 10%， and 95% for Groups A， B， and C， respectively， with significant differences between Group A and Group B （P＜0.01） but no statistical difference between Group A and Group C （P=0.311）. In Mallory trichrome staining， Groups A and B outperformed Group C. The excellent-and-good rates were 95%， 90%， and 15% for Groups A， B， and C， respectively， with significant differences between Group A and Group C （P＜0.01）， but no statistical difference between Group A and Group B （P=0.548）. Immunohistochemical results showed that Group A had a clean background with no non-specific staining， while Groups B and C exhibited significant non-specific staining， with statistically significant differences in non-specific staining rates between the groups （A vs. B， 5% vs. 100%， P＜0.01； A vs. C， 5% vs.100%， P＜0.01）. ConclusionIn HE staining， environmentally friendly reagents demonstrated effective tissue fixation and staining results comparable to traditional reagents， meeting the teaching requirements. For special staining， Group B and Group C performed better in Mallory trichrome staining and phosphotungstic acid-hematoxylin staining， respectively. However， environmentally friendly reagents exhibited non-specific staining issues in immunohistochemistry， where further optimization is required.

ObjectiveTo investigate the inhibitory effect of tauroursodeoxycholic acid （TUDCA） on neurogenic heterotopic ossification （NHO） after spinal cord injury and its potential mechanism. MethodsSPF-grade male C57BL/6 mice were used to establish an NHO model. The mice were randomly divided into three groups： sham operation group （laminectomy only）， NHO model group （spinal cord injury + intramuscular injection of cardiotoxin）， and TUDCA treatment group （NHO model + daily intragastric administration of TUDCA at 200 mg/kg for 4 consecutive weeks）. The area and maturity of heterotopic ossification were quantitatively assessed by micro-computed tomography（micro-CT） and hematoxylin-eosin（H&E） staining. Flow cytometry was used to quantify the interleukin（IL）-1β secretion level of M2 macrophages. RAW264.7 macrophages were cultured in vitro and divided into control， tumor necrosis factor（TNF）α， and TNFα+TUDCA （200 μmol/L） groups to detect the expression level of the polarization marker CD206. Additionally， macrophages were divided into control， TUDCA 200 μmol/L， and TUDCA 400 μmol/L groups to assess the IL-1β secretion level. ResultsCompared with the NHO group， the bone volume in the TUDCA-treated group was significantly reduced （12.69±1.13 vs. 7.647±1.19， P=0.003）. Compared with the TNFα group， qPCR results showed that the expression of the M2 macrophage marker CD206 was significantly upregulated in the TNFα+TUDCA group （0.55±0.019，1.11±0.023， P＜0.001）. Compared with the control group， ELISA results showed that TUDCA stimulation of macrophages significantly upregulated IL-1β secretion （404.7±24.38 vs. 652.8±32.61， P=0.003 7）. TUDCA administration upregulated IL-1β secretion by local muscle macrophages and inhibited heterotopic ossification formation. ConclusionsTUDCA might participate in inhibiting NHO formation by inducing M2 macrophage polarization and upregulating IL-1β secretion， thereby alleviating the development and progression of neurogenic heterotopic ossification after spinal cord injury. This finding provides experimental evidence for expanding the application of TUDCA in the treatment of complications following spinal cord injury.