Objective To explore the effectiveness of the generative large language model MedGo in nursing decision-making for elderly patients with multimorbidity. Methods A quasi-randomized controlled trial study was conducted involving 6 junior nurses, 6 senior nurses and the MedGo model from January 1, 2025 to March 31, 2025 at the Emergency Internal Medicine Ward of Shanghai East Hospital Affiliated to Tongji University. Clinical data of 120 elderly patients with multimorbidity were analyzed to compare the performance of the three groups in four tasks (nursing diagnosis assessment, nursing intervention formulation, complication identification, and complication prevention) from three evaluation dimensions: decision-making time consumption, decision accuracy, and decision-making quality. Results In terms of decision-making time, the senior nurse group completed all four tasks faster than the junior nurse group (P＜0.01), and the MedGo group completed all four tasks faster than the junior nurse group (P＜0.001) and the senior nurse group (P＜0.001). In terms of decision-making accuracy, senior nurse group scored higher than junior nurse group in all four tasks (P＜0.001), while the MedGo group outperformed the senior nurse group only in complication identification (P＜0.001). In terms of decision-making quality, the MedGo group scored higher than junior nurse group (P＜0.001) and senior nurse group (P＜0.001) in all four tasks. Conclusions The MedGo model demonstrates advantages of high efficiency, accuracy, and quality in nursing decision-making for elderly patients with multimorbidity; senior nurses outperform junior nurses in decision-making, providing diverse references for clinical nursing decision-making.

ObjectiveHepatocellular carcinoma (HCC) represents 90% of all primary liver cancers. The main risk factors associated with HCC include viral hepatitis (B and/or C), alcohol abuse, and metabolic dysfunction-associated steatotic liver disease (MASLD), which progressively advance to liver fibrosis, cirrhosis, and ultimately evolve into HCC. Surgical resection represents the most effective treatment for HCC, while recent advances in immunotherapy, including immune checkpoint inhibitors and adoptive cell therapies, have provided improved treatment prospects for patients with unresectable HCC. However, the complex metabolic heterogeneity of HCC limits the therapeutic efficacy. Metabolic intermediates acyl-CoA not only provide energy and substrates for numerous biochemical reactions but also serve as donors for protein lysine acylation, a major class of post-translational modification (PTM). Therefore, a deeper understanding of the molecular mechanisms underlying protein lysine acylation and hepatocarcinogenesis is urgently needed. MethodsThe levels of protein lysine acylation and silence information regulator 5 (SIRT5) expression levels in clinical HCC samples were analyzed by Western blot. Quantitative malonylome and succinylome of HCC samples were analyzed by antibody-based affinity enrichment coupled with tandem mass spectrometry. The proliferation of HCC cells was analyzed with Cell Counting Kit-8 (CCK-8) assays, the apoptosis was quantified by Annexin V-FITC/propidium iodide (PI) staining coupled with flow cytometry, and the ability of cells to migrate was assayed by Transwell assays. The enzymatic activity of glutathione S-transferase Mu 1 (GSTM1) was quantified. Transgenic mice with hepatic overexpression of SIRT5 were constructed using CRISPR-Cas9, and primary hepatocarcinogenesis was induced by administration of diethylnitrosamine. ResultsWestern blot analysis indicated that the expression level of SIRT5 was elevated in clinical samples from HCC patients, and the levels of lysine malonylation, glutarylation, and succinylation were significantly reduced in HCC tissues. Knockout of SIRT5 in MHCC-97H and MHCC-97L hepatoma cells suppressed cell proliferation, and increased the percentage of apoptotic cells significantly. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses of the differentially malonylome and succinylome of HCC samples revealed significant enrichment in two major classes of biological processes: core energy metabolism (e.g., glycolysis/gluconeogenesis, tricarboxylic acid metabolic process, fatty acid beta oxidation) and detoxification and oxidative stress response (e.g., response to toxic substance, chemical carcinogenesis, reactive oxygen species (ROS)). SIRT5 removes malonylation from lysine residues in GSTM1 and restores its detoxification activity, which is crucial for the survival of hepatocytes under stressed conditions. More importantly, in vivo experiment indicated that hepatic-specific overexpression of SIRT5 in mice accelerated diethylnitrosamine-induced liver fibrosis and hepatocarcinogenesis, indicating the critical role of SIRT5 in HCC progression. ConclusionThis study highlights the previously unrecognized SIRT5-GSTM1 axis as a key regulator in hepatocarcinogenesis, and suggests a potential target for the treatment of patients with HCC.

Breast cancer prevention and treatment have become major issues that urgently need to be addressed in the field of global public health. As a key pathological transitional stage in the progression of breast cancer， preneoplastic breast cancer （PBC） carries a significant risk of clinical transformation. Effective intervention in the progression of PBC is of great clinical significance in preventing the occurrence of breast cancer. Pathological studies have shown that abnormal angiogenesis is a key mechanism driving the transformation of PBC into breast cancer. Vascular endothelial growth factor （VEGF）， as a core regulatory molecule that promotes angiogenesis， plays a pivotal role in this process. The malignant transformation of PBC is closely associated with the abnormal activation of the VEGF-mediated pro-angiogenic network. Although modern medicine has achieved certain therapeutic effects through surgery and endocrine therapy， clinical limitations such as invasiveness， drug resistance， and adverse reactions still exist. Recent studies have demonstrated that the VEGF signaling system mediates the phosphatidylinositol 3-kinase-protein kinase B （PI3K/Akt） signaling pathway and the mitogen-activated protein kinase （MAPK） pathway. In addition， the hypoxia-inducible factor-1α （HIF-1α）/VEGF signaling pathway and the delta-like ligand 4 （DLL4）/Notch receptor 1 （Notch1） signaling pathway， together with other pathways， form a complex regulatory network that plays a central role in angiogenesis during PBC. Traditional Chinese medicine （TCM）， characterized by multi-component synergy， multi-pathway regulation， and high safety， demonstrates significant advantages in inhibiting pathological angiogenesis and blocking PBC progression by targeting the VEGF signaling pathway. From the perspective of VEGF pathway regulation， this paper systematically reviews the latest research progress on TCM in inhibiting angiogenesis and intervening in PBC， and discusses its mechanisms and application value in the early prevention and treatment of PBC， with the aim of providing references for optimizing clinical intervention strategies for PBC.

ObjectiveTo analyze the volatile components in raw Coptidis Rhizoma， Euodiae Fructus juice-processed Coptidis Rhizoma （Yuhuanglian）， and the processing adjuvant Euodiae Fructus juice， identify marker volatile components in the processed product， and elucidate the material basis changes during the processing with Euodiae Fructus juice. MethodsHeadspace solid-phase microextraction coupled with gas chromatography-quadrupole-time-of-flight mass spectrometry （HS-SPME-GC-Q-TOF-MS） was employed to analyze the volatile components in raw Coptidis Rhizoma， Yuhuanglian， and Euodiae Fructus juice. Chemometric analysis was performed to compare volatile components among samples and screen the marker components. Finally， the relative odor activity value （ROAV） was calculated to investigate odor characteristics. ResultsA total of 127 components were detected， with 27， 75， 84 volatile components identified in Euodiae Fructus juice， raw Coptidis Rhizoma， and Yuhuanglian， respectively. Processing with Euodiae Fructus juice significantly increased the number and content of volatile components. Chemometric analysis revealed significant changes in volatile components among the three sample types， allowing clear discrimination. After processing， 39 components such as methyl octanoate and allyl propionate were introduced， while 34 components including furfural and hexanoic acid increased in content， and 11 components including butyric acid and octanal decreased. Additionally， eight components， including zingiberene， 6-methyl-6-hepten-2-one， and 5-methyl-2-hexanone， were screened as marker components of Yuhuanglian. Moreover， processing enhanced the ROAV values of 2，5-dimethylpyrazine （roasted， nutty， coffee-like aroma）， 3-ethylphenol， and guaiacol （smoky， woody aroma）. Additionally， it incorporated 1-hepten-3-one from Euodiae Fructus juice and the newly generated 1-hexen-3-one， contributing mushroom and cucumber-like odors. The sensory profile of Yuhuanglian integrated nutty， roasted， smoky， and woody notes with the citrus and fruity aroma originally contributed by octanal. ConclusionThe processing with Euodiae Fructus juice introduced components from adjuvant， significantly altering the volatile component profile and enhancing the sensory odor characteristics of Yuhuanglian. This study provides a valuable reference for exploring the material basis of volatile components and establishing processing specifications for Yuhuanglian.

ObjectiveTo analyze the volatile components in raw Coptidis Rhizoma， Euodiae Fructus juice-processed Coptidis Rhizoma （Yuhuanglian）， and the processing adjuvant Euodiae Fructus juice， identify marker volatile components in the processed product， and elucidate the material basis changes during the processing with Euodiae Fructus juice. MethodsHeadspace solid-phase microextraction coupled with gas chromatography-quadrupole-time-of-flight mass spectrometry （HS-SPME-GC-Q-TOF-MS） was employed to analyze the volatile components in raw Coptidis Rhizoma， Yuhuanglian， and Euodiae Fructus juice. Chemometric analysis was performed to compare volatile components among samples and screen the marker components. Finally， the relative odor activity value （ROAV） was calculated to investigate odor characteristics. ResultsA total of 127 components were detected， with 27， 75， 84 volatile components identified in Euodiae Fructus juice， raw Coptidis Rhizoma， and Yuhuanglian， respectively. Processing with Euodiae Fructus juice significantly increased the number and content of volatile components. Chemometric analysis revealed significant changes in volatile components among the three sample types， allowing clear discrimination. After processing， 39 components such as methyl octanoate and allyl propionate were introduced， while 34 components including furfural and hexanoic acid increased in content， and 11 components including butyric acid and octanal decreased. Additionally， eight components， including zingiberene， 6-methyl-6-hepten-2-one， and 5-methyl-2-hexanone， were screened as marker components of Yuhuanglian. Moreover， processing enhanced the ROAV values of 2，5-dimethylpyrazine （roasted， nutty， coffee-like aroma）， 3-ethylphenol， and guaiacol （smoky， woody aroma）. Additionally， it incorporated 1-hepten-3-one from Euodiae Fructus juice and the newly generated 1-hexen-3-one， contributing mushroom and cucumber-like odors. The sensory profile of Yuhuanglian integrated nutty， roasted， smoky， and woody notes with the citrus and fruity aroma originally contributed by octanal. ConclusionThe processing with Euodiae Fructus juice introduced components from adjuvant， significantly altering the volatile component profile and enhancing the sensory odor characteristics of Yuhuanglian. This study provides a valuable reference for exploring the material basis of volatile components and establishing processing specifications for Yuhuanglian.

Objective: To explore the influencing factors for implementation of weight management services in primary medical and healthcare institutions, so as to provide references for implementing sustainable services of weight management. Methods: From May to June 2025, Pinghu City, Zhejiang Province was selected as the survey site. Personnel responsible for weight management in primary medical and healthcare institutions were selected as the survey subjects using a combined method of purposive sampling and snowball sampling. Based on the five core domains of the consolidated framework for implementation research (CFIR), a semi-structured interview outline for weight management services in primary medical and healthcare institutions was designed. Original data was collected through face-to-face semi-structured interviews. Interview data was organized and analyzed using framework analysis. Factors affecting weight management services were quantitatively analyzed by referencing CFIR's structural rating criteria. Results: A total of 21 participants completed interviews, covering positions in nutrition, endocrinology, traditional Chinese medicine, general practice, maternal health, and public health. There were 9 males and 12 females. Fifteen participants (71.43%) were aged 35 years and above, 18 (85.71%) held a bachelor's degree or higher, and 15 (71.43%) were frontline medical staff. Fifteen factors affecting weight management services were identified across five domains: innovation, outer setting, inner setting, individuals, and implementation process. Six barrier factors were identified: difficulties in policy implementation, time-consuming interventions, limited incentive measures, lack of professional skills, unclear weight-loss plans and goal setting, and imperfect follow-up and evaluation mechanisms. Three neutral factors were identified: the development and refinement of policies and regulations, the implementation of weight management training, and the optimization of the referral process within integrated healthcare systems (medical alliances / communities). Six facilitating factors were identified: the relatively significant advantages of lifestyle interventions, collaboration and coordination across multiple departments, cooperative communication among different units within the institution, the inherent convenience of primary care settings, a strong sense of professional responsibility, and the establishment of multidisciplinary teams. Conclusions The delivery of weight management services in primary medical and healthcare institutions is influenced by a wide array of factors across multiple domains. It requires policy support, multi-department coordination, a practice-oriented training system, optimized team resource allocation, incentives, and improved professional skills of medical staff to jointly promote long-term implementation.

In recent years, there have been frequent adverse reactions/events associated with traditional Chinese medicine(TCM), especially liver injury related to traditional non-toxic TCM, which requires adequate attention. Liver injury related to traditional non-toxic TCM is characterized by its sporadic and insidious nature and is influenced by various factors, making its detection and identification challenging. There is an urgent need to develop a strategy and method for early detection and recognition of traditional non-toxic TCM-related liver injury. This study was based on national adverse drug reaction monitoring center big data, integrating methodologies such as reporting odds ratio(ROR), network toxicology, and computational chemistry, so as to systematically research the risk signal identification and evaluation methods for TCM-related liver injury. The optimized ROR method was used to discover potential TCM with a risk of liver injury, and network toxicology and computational chemistry were used to identify potentially high-risk TCM. Additionally, typical clinical cases were analyzed for confirmation. An integrated strategy of "discovery via big data, identification via dry/wet method, confirmation via typical cases, and precise risk prevention and control" was developed to identify the risk of TCM-related liver injury. Corydalis Rhizoma was identified as a TCM with high risk, and its toxicity-related substances and potential toxicity mechanisms were analyzed. The results revealed that liver injury is associated with components such as tetrahydropalmatine and tetrahydroberberine, with potential mechanisms related to immune-inflammatory pathways such as the tumor necrosis factor signaling pathway, interleukin-17 signaling pathway, and Th17 cell differentiation. This paper innovatively integrated real-world evidence and computational toxicology methods, offering insights and technical support for establishing a risk discovery and identification strategy for TCM-related liver injury based on real-world big data, providing innovative ideas and strategies for guiding the safe and rational use of medication in clinical practices.
Corydalis/adverse effects* ; Drugs, Chinese Herbal/adverse effects* ; Humans ; Chemical and Drug Induced Liver Injury/etiology* ; Medicine, Chinese Traditional/adverse effects* ; Rhizome/adverse effects* ; Male ; Female

OBJECTIVE: We aimed to investigate the patterns of fasting blood glucose (FBG) trajectories and analyze the relationship between various occupational hazard factors and FBG trajectories in male steelworkers. METHODS: The study cohort included 3,728 workers who met the selection criteria for the Tanggang Occupational Cohort (TGOC) between 2017 and 2022. A group-based trajectory model was used to identify the FBG trajectories. Environmental risk scores (ERS) were constructed using regression coefficients from the occupational hazard model as weights. Univariate and multivariate logistic regression analyses were performed to explore the effects of occupational hazard factors using the ERS on FBG trajectories. RESULTS: FBG trajectories were categorized into three groups. An association was observed between high temperature, noise exposure, and FBG trajectory ( P < 0.05). Using the first quartile group of ERS1 as a reference, the fourth quartile group of ERS1 had an increased risk of medium and high FBG by 1.90 and 2.21 times, respectively (odds ratio [ OR] = 1.90, 95% confidence interval [ CI]: 1.17-3.10; OR = 2.21, 95% CI: 1.09-4.45). CONCLUSION An association was observed between occupational hazards based on ERS and FBG trajectories. The risk of FBG trajectory levels increase with an increase in ERS.
Humans ; Male ; Adult ; Blood Glucose/analysis* ; China ; Prospective Studies ; Occupational Exposure/adverse effects* ; Risk Factors ; Middle Aged ; Steel ; Fasting/blood* ; Metal Workers ; East Asian People

Objective: To explore the risk of endometrial polyp (EP) based on lipid metabolism and vaginal micro- ecology combined with uterine volume line drawing model. Methods: 143 EP patients treated by hysteroscopic sur- gery were selected as the experimental group , and 113 healthy women were selected as the control group at the same time. The data were randomly divided into training set and validation set according to the ratio of 7 : 3. The clinical data of the two groups were collected and recorded , and t/χ2 test , LASSO regression and multifactorial lo- gistic regression analysis were used to screen the independent risk factors , construct the prediction model , and draw the column line graph. The performance of the model was evaluated by applying subject operating characteristic (ROC) curves , calibration curves , Hosmer-Lemeshow test and clinical decision-making (DCA) curves. Results: Multifactorial logistic regression analysis showed that total cholesterol ( TC) , low-density lipoprotein cholesterol (LDL-C) , vaginal microecological balance , and uterine volume were independent risk factors for the development of EP. ROC curve analysis showed that the AUC values of the training and validation sets of the column line graph model were 0. 935 and 0. 887 , respectively , and its sensitivity and specificity were 90. 21% , 83. 46% and 86. 29% , 80. 66% respectively , The Hosmer-Lemeshow test showed that the model fits well ( training set : χ2 = 2. 261 , P = 0. 840 ; validation set : χ2 = 4. 837 , P = 0. 441) and the calibration curves of the training and validation sets were close to the ideal curves , which indicated that the model had good prediction accuracy; the analysis of DCA curves of the training and validation sets both showed that the column-line graph model had a good clinical benefit rate in predicting EP. Conclusion TC , LDL-C , vaginal microecological balance and uterine volume are independent risk factors for EP , and the column-line diagram model constructed by the model has high clinical ben- efit , calibration and accuracy in predicting the risk of EP.