Recent progress in targeted metabolic therapy of cancer has been limited by the considerable toxicity associated with such drugs. To address this challenge, we developed a smart theranostic prodrug system that combines a fluorophore and an anticancer drug, specifically 6-diazo-5-oxo-l-norleucine (DON), using a thioketal linkage (TK). This system enables imaging, chemotherapy, photodynamic therapy, and on-demand drug release upon radiation exposure. The optimized prodrug, DON-TK-BM3, incorporating cyanine dyes as the fluorophore, displayed potent reactive oxygen species release and efficient tumor cell killing. Unlike the parent drug DON, DON-TK-BM3 exhibited no toxicity toward normal cells. Moreover, DON-TK-BM3 demonstrated high tumor accumulation and reduced side effects, including gastrointestinal toxicity, in mice. This study provides a practical strategy for designing prodrugs of metabolic inhibitors with significant toxicity stemming from their lack of tissue selectivity.

BACKGROUND:Traditional 3D dental segmentation methods usually utilize predefined spatial geometric features,such as curvature and normal vectors,as the reference information for tooth segmentation. OBJECTIVE:To propose an algorithm for complex 3D dental segmentation and deeply explore the correlation between segmentation results and application scenarios. METHODS:A 3D dental segmentation algorithm based on dual stream extraction of structural features and spatial features was established,and the modular design of split flow was used to avoid feature confusion.Among them,the attention mechanism on the structural feature flow was used to capture the fine-grained semantic information required for tooth segmentation,and the Tran Net based on the spatial feature flow was used to ensure the robustness of the model to complex tooth and jaw segmentation.This algorithm verified its effectiveness and reliability based on clinical datasets including healthy dental jaws and complex dental jaws such as missing teeth,malocclusion and dentition crowding.The segmentation performance of the model was measured in terms of overall accuracy,mean intersection over union,and directional cut discrepancy. RESULTS AND CONCLUSION:The overall segmentation accuracy of this algorithm in the clinical data set is 97.08%,and the segmentation effect is superior to that of other competitive methods from the qualitative and quantitative perspectives.It is verified that the structural feature flow designed in this paper can extract more precise local details of tooth shape from coordinate and normal information by constructing an attention aggregation mechanism,and the spatial feature flow designed in this paper can ensure the robustness of the model to complex teeth such as missing teeth,dislocated teeth,and crowded dentition by constructing a transformation network(Tran Net).Therefore,this tooth segmentation algorithm is highly reliable for clinicians'practical reference.

BACKGROUND:Inflammation,oxidative stress and bacterial infection are the main causes of delayed wound healing in diabetes.In recent years,various inorganic nanomaterials have been widely used in the treatment of skin wound healing due to their antibacterial activities,but their effects on anti-oxidation and anti-inflammation are limited. OBJECTIVE:To investigate the effect of Prussian blue nanoparticles on the wound repair of diabetes in terms of antioxidant,anti-inflammatory and photothermal antibacterial activities. METHODS:Prussian blue nanoparticles were prepared and characterized.(1)In vitro:The biocompatibility of Prussian blue nanoparticles with different concentrations was detected by MTT assay.The cytoprotective effect of Prussian blue nanoparticles and the intracellular reactive oxidative species level were examined under the condition of hydrogen peroxide.The ability of Prussian blue nanoparticles to decompose hydrogen peroxide and superoxide anion radicals was tested;the effect of Prussian blue nanoparticles on lipopolysaccharide-induced macrophage inflammation was investigated.The photothermal antibacterial activity of Prussian blue nanoparticles was detected by the plate colony counting method.(2)In vivo:ICR mice were intraperitoneally injected with streptozotocin to establish a diabetes mouse model.After the model was successfully established,a 6 mm wound was created on the back with a hole punch.There were the control group(no treatment),the Prussian blue group and the Prussian blue with light group.The wound healing and histomorphological changes were observed. RESULTS AND CONCLUSION:(1)In vitro:Prussian blue nanoparticles in 25-200 μg/mL were non-toxic to cells.Prussian blue nanoparticles had the extremely strong antioxidant capacity and mitigated the intracellular reactive oxidative species at a high oxidative stress environment,resulting in a pronounced cytoprotective effect.The Prussian blue nanoparticles not only exhibited hydrogen peroxide degradation activity but also showed strong superoxide scavenging ability.Prussian blue nanoparticles also displayed significant anti-inflammatory activity and extremely strong antibacterial ability after light irradiation.(2)In vivo:After 14 days,the wound sizes of the Prussian blue group and Prussian blue with light group were significantly reduced,and the healing speed of Prussian blue with light group was the fastest.Hematoxylin-eosin and Masson staining showed a lot of granulation tissue formation and collagen deposition in the Prussian blue group and the Prussian blue with light group,of which the Prussian blue with light group was the most.Immunofluorescence staining displayed that,compared with the control group,the expressions of α-SMA and CD31 were increased significantly in Prussian blue group and Prussian blue with light group(P<0.05),but F4/80 expression was decreased significantly in Prussian blue group and Prussian blue with light group(P<0.05),indicating more obvious improvement in the Prussian blue with light group.(3)These results showed that Prussian blue nanoparticles could promote the skin wound healing of the diabetes mouse model by exerting anti-inflammatory,antioxidant and antibacterial effects.

Objective:To explore the predictive value of lipoproteins on the progression of critically ill patients to chronic critical illness (CCI).Methods:A retrospective cohort study was conducted to analyze clinical data of patients admitted to the intensive care unit (ICU) of Nanjing Drum Tower Hospital from January 1, 2020, to December 31, 2022. The levels of high-density lipoprotein (HDL), low-density lipoprotein (LDL) and apolipoproteins (ApoA-Ⅰ, ApoB) at 1, 3, 7, 14 and 21 days after admission to ICU were collected. The progression to CCI was recorded. CCI was defined as the length of ICU stay ≥14 days with sustained organ dysfunction [sequential organ failure assessment (SOFA) score ≥2]. Differences in lipoprotein levels between the patients with and without CCI were compared. Multivariate Logistic regression was used to analyze risk factors for critically ill patients progressing to CCI. Receiver operator characteristic curve (ROC curve) was drawn to evaluate the predictive value of lipoproteins on critically ill patients progressing to CCI.Results:A total of 200 patients were enrolled in the final analysis. 137 patients (68.5%) progressed to CCI, and 63 patients (31.5%) did not. The lipoprotein indicators in the CCI group showed a decrease after the acute phase, while the lipoprotein indicators in the non-CCI group showed an increase. The levels of HDL, LDL, ApoA-Ⅰ, and ApoB at various time points in the CCI group were significantly lower than those in the non-CCI group. HDL at 7 days in the CCI group was significantly lower than that in the non-CCI group [mmol/L: 0.44 (0.31, 0.61) vs. 0.67 (0.49, 0.75), P < 0.01]. Multivariate Logistic regression analysis showed that 7-day HDL was an independent risk factor for critically ill patients progressing to CCI [odds ratio ( OR) = 0.033, 95% confidence interval (95% CI) was 0.004-0.282, P = 0.002]. ROC curve analysis showed that the area under the ROC curve (AUC) of 7-day HDL for predicting critically ill patients progressing to CCI was 0.702, with a 95% CI of 0.625-0.779, P < 0.001. When the optimal cut-off value was 0.59 mmol/L, the sensitivity was 69.8%, and the specificity was 72.4%. Conclusions:The low level of lipoproteins is closely related to the progression of critically ill patients, and 7-day HDL has a certain predictive value for critically ill patients progressing to CCI. Continuously observation of the change trend of lipoprotein level is helpful to judge the progression of CCI in critically ill patients.

OBJECTIVE To provide reference for basic analysis of the pharmacodynamic substance in Stahlianthus involucratus. METHODS Overall 24 SD male rats were randomly divided into blank group （purified water）， and administration group （ethanol extract of S. involucratus， 15.75 g/kg， calculated by crude drug）， with 12 rats in each group. They were given drug liquid/purified water intragastrically， twice a day， every 6-8 h， for consecutive 3 days. After medication， the blood， urine and fecal samples were collected from two groups of rats. UPLC-Q-Exactive-MS technology was used to identify the chemical constituents in the ethanol extract of S. involucratus， and metabolites in the blood， urine and fecal of rats after intragastrical administration of the ethanol extract of S. involucratus. Multivariate statistical analysis was employed to screen various serum metabolites. Metabolic pathways were analyzed by MetaboAnalyst 5.0 platform. RESULTS A total of 38 chemical constituents were identified from the ethanol extract of S. involucratus， including fourteen prototype components and three metabolites identified from 5 urine samples， nine prototype components identified from fecal samples， and ten prototype components and one metabolite identified from serum samples. A total of 71 differential metabolites were screened from two groups of rat serum samples， of which 44 differential metabolites， such as ferulic acid， glycyrrhizin， were up-regulated and 27 differential metabolites， such as arachidonic acid， phenylacetylglutamine， were down-regulated. The 71 differential metabolites were mainly enriched in 11 metabolic pathways， including phenylalanine metabolism， linoleic acid metabolism， arachidonic acid metabolism， and tryptophan metabolism. CONCLUSIONS Ferulic acid， liquiritigenin， isofraxidin and formononetin may be the material basis that directly exert pharmacological effects of S. involucratus. S. involucratus may exert anti-inflammatory effects by affecting metabolic pathways， including arachidonic acid metabolism and tryptophan metabolism.

Objective: To understand the nutritional literacy level and associated factors of primary and secondary school students in Beijing, so as to provide a scientific basis for improving student nutrition. Methods: From October 2022 to May 2023, a multi stage cluster random sampling method was employed to select a total of 14 568 primary, junior and senior high school students from 16 districts (ecluding the Economic Technological Development area) in Beijing. Through a survey questionnaire on nutritional literacy and dietary hehavior of school age children, basic information as well as data on nutritional literacy levels across four dimensions:nutrition related knowledge concepts, food selection, food preparation, and food intake dimensions were obtained. The Wilcoxon rank sum test, Kruskal-Wallis test, Spearman correlation analysis, Chi square test and binary Logistic regression were used for the analysis. Results: The median total score of nutritional literacy among primary and secondary school students in Beijing was 68.8. Approximately 26.0% of primary and secondary school students achieved nutritional literacy standards. The median scores and rates of meeting the standards for nutrition related knowledge concepts, food selection, food preparation and food intake dimensions were 23.0, 42.1%; 17.0, 27.4%; 6.5, 33.5%; 23.0, 33.3%, respectively. There were positive correlations between all pairs of the four dimensions ( r=0.33-0.49, P <0.05). The results of multiple Logistic regression analysis showed that primary school students, junior high school students, female students, suburban students, caregivers with a college education level and a bachelor s degree or above were the positive arrelation factors that promoted the achievement of nutritional literacy standards ( OR =2.21, 1.39, 1.18, 1.27, 1.42, 1.66, P <0.05). Conclusion The literacy level of primary and secondary school students in Beijing needs to be significantly improved. School stage, gender, region and caregiver s education level are associated factors.

OBJECTIVE To investigate the effect of polymorphisms of solute carrier organic anion transporter family, member 1B3(SLCO1B3) gene on the pharmacodynamics of mycophenolate mofetil(MMF) in patients with lupus nephritis. METHODS Patients with lupus nephritis who were treated in Jieyang People’s Hospital from September 2019 to April 2021 were selected. All subjects were treated with MMF for at least 12 months, or discontinued due to poor efficacy. The efficacy of MMF was evaluated. The SLCO1B3 334T>G/699G>A(rs4149117/rs7311358) genotype was detected using Agena MassARRAY®, and the correlation between gene polymorphisms and MMF pharmacodynamics was analyzed using SPSS 25.0 software. RESULTS The genotype frequencies of SLCO1B3 334T>G/699G>A were in Hardy-Weinberg equilibrium. The probability of poor MMF treatment effect of 334GG/699AA carriers was significantly higher than that of 334TT/699AA and 334TG/699GA carriers(P<0.001); Logistic regression showed that both 334GG/699AA and urine protein>2.5 g·(24 h)−1 were the risk factors for poor MMF treatment[OR=4.038(1.731, 9.420), P<0.001; OR=4.157(1.705, 10.137), P=0.002]. Combined analysis showed that patients with both 334GG/699AA genotype and urine protein>2.5 g·(24 h)−1 were at higher risk for poor efficacy[OR=8.563(3.301, 22.216), P<0.001]. CONCLUSION SLCO1B3 334T>G/699G>A is related to the efficacy of MMF treating lupus nephritis, and 334GG/699AA carriers are more likely to result in poor efficacy.

ObjectiveTo analyze the correlation between 11 small molecule active components and 1 protein component of characteristic processed products with porcine cardiac blood and other products of Salviae Miltiorrhizae Radix et Rhizoma（SMRR） from Menghe medical school and anti-cerebral ischemic oxidative damage， and to identify its key component markers of characteristic processed products with porcine cardiac blood for anti-cerebral ischemic oxidative damage. MethodHigh performance liquid chromatography（HPLC） was established to simultaneously determine the contents of 11 active ingredients in SMRR and its processed products［processed with porcine cardiac blood， porcine blood， wine and transferrin（Tf） in porcine cardiac blood］， and the content of Tf in different processed products of SMRR was detected by enzyme-linked immunosorbent assay（ELISA）. Furthermore， A zebrafish ischemic stroke model was constructed to evaluate the effects of different processed products of SMRR on the behavioral trajectory of cerebral ischemic zebrafish， the neuronal damage of transgenic zebrafish Tg（elavl3：eGFP） brain， as well as the levels of malondialdehyde（MDA） and superoxide dismutase（SOD） in the brain tissues. The hippocampal neurons oxygen-glucose deprivation/reoxygenation（OGD/R）-induced ischemia-hypoxia model was constructed to evaluate the effects of different processed products of SMRR on oxidative damage of neuronal cells by taking lactate dehydrogenase（LDH）， reactive oxygen species（ROS）， MDA and SOD as indexes. Finally， principal component analysis（PCA）， partial least squares-discriminant analysis（PLS-DA） and Spearman correlation analysis were used to analyze the 11 small molecule active components and 1 protein component with efficacy indicators， in order to screen the key components of the characteristic processed products with porcine cardiac blood for cerebral ischemic oxidative damage. ResultCompared with the raw products， the contents of water-soluble and fat-soluble components in processed products of SMRR increased to different degrees， while the content of salvianolic acid A decreased. Compared with the wine-processed products， the contents of salvianolic acid B， danshensu， rosmarinic acid and other components in the porcine cardiac blood-processed products， porcine blood-processed products， Tf-processed products were increased， while the content of salvianolic acid A was decreased. ELISA results showed that there was no significant difference in Tf content between the porcine cardiac blood-processed products， porcine blood-processed products， Tf-processed products. Pharmacological results showed that different processed products of SMRR could improve the behavioral deficits， brain neuronal injury and oxidative stress after ischemic stroke in zebrafish， and the effect of the porcine cardiac blood-processed products was most pronounced. PCA results showed that salvianolic acid B， salvianolic acid A， rosmarinic acid， lithospermic acid， danshensu， tanshinone Ⅱ_A， caffeic acid， cryptotanshinone and tanshinone Ⅰ were the main contributing components of SMRR and its processed products. And the results of correlation analysis showed that the contents of cryptotanshinone， rosmarinic acid， caffeic acid， dihydrotanshinone Ⅰ， salvianolic acid B， tanshinone Ⅱ_A and tanshinone Ⅰ were negatively correlated with MDA level in zebrafish brain tissue， while the contents of lithospermic acid， protocatechuic aldehyde， rosmarinic acid， dihydrotanshinone Ⅰ， salvianolic acid B and Tf were positively correlated with SOD level， and the contents of rosmarinic acid， caffeic acid， dihydrotanshinone Ⅰ， salvianolic acid B， tanshinone Ⅱ_A， tanshinone Ⅰ， danshensu， Tf were positively correlated with neuronal fluorescence intensity in the zebrafish brain. And the contents of lithospermic acid， protocatechuic aldehyde， rosmarinic acid， dihydrotanshinone Ⅰ， salvianolic acid B， tanshinone Ⅱ_A and Tf were negatively correlated with LDH， ROS and MDA levels and positively correlated with SOD level. ConclusionThere are differences in the anti-ischemic oxidative damage effects of SMRR and its different processed products， among which the porcine cardiac blood-processed products has the strongest effect on improving oxidative damage， which may be related to the content changes of salvianolic acid B， danshensu， rosmarinic acid and other components. This study can provide a basis for clarifying the quality markers of SMRR processed with porcine cardiac blood for cerebral ischemia and elucidating its processing mechanism.

Objective To explore and establish a medical complaint prevention system in stomatological hospitals,eval-uate its effect on improving the quality of medical services,in order to provide practical experience for the high-quality develop-ment of peer hospitals.Methods The sample hospitals were problem-oriented,based on the concept of PDCA cycle manage-ment,and integrated multidisciplinary knowledge.Successfully established a medical complaint prevention system for dental hos-pitals.This system mainly includes the planning phase:collecting and analyzing complaint characteristics,formulating plans and expected goals;Implementation stage:Adhere to problem oriented approach and actively implement measures that have been for-mulated;Check stage:Regularly evaluate the effectiveness of measures and conduct targeted surveys of patient opinions;Action stage:Summarizing relevant experiences and developing a recycling and rectification plan,and it has played an important role in improving the quality of medical services in sample hospitals,achieving significant results.Results Compared with 2022,the total number of outpatient and emergency patients in the sample hospitals increased by 14.4％in 2023,the total number of medi-cal complaints decreased by 7.6％,the total number of praise letters from patients and their families to medical staff increased fourfold,and the total number of suggestions for hospital improvement and enhancement decreased by 71.4％.Conclusion The medical complaint prevention system in dental hospitals has improved the quality of medical services in sample hospitals to a cer-tain extent,and the relevant experience is worth promoting.

With the continuous advancement of healthcare informatization,medical data,closely related to people's health,has experienced explosive growth.On one hand,the interoperability of hospitals and the construction of smart hospitals have laid a solid foundation for the application of medical big data.On the other hand,the surge in data volume demands increas-ingly higher data processing capabilities.Effectively organizing and managing medical data across various stages—such as collec-tion,storage,governance,and service—using technologies like data mining,data governance,deep learning,and big data visu-alization has become an urgent need.This paper addresses existing hospital management issues by constructing a medical big data information platform,exploring its innovative applications in hospital management,and proposing future development suggestions for the platform.The aim is to enhance the digitalization of medical management and promote the application and development of big data technology in the healthcare field.