Objective To comprehensively investigate the levels of exposure and distribution characteristics of trihalomethanes (THMs) in drinking water in Guangzhou City, and evaluate the health risks of different groups of children, adolescents and adults, and to provide data and evidence for protecting human health and promoting risk control of drinking water. Methods According to the technical requirements of the ^"Standards for Drinking Water Quality Testing Methods^" (GB/T 5750-2023), the concentration of THMs, including trichloromethane (TCM), bromodichloromethane (BDCM), dibromochloromethane (DBCM), and tribromomethane (TBM) in drinking water in Guangzhou City from 2023-2024 were detected. The health risk model recommended by USEPA was used for risk assessment．Results TCM, BDCM and DBCM were detected in the factory water and terminal water, with TCM contributing the most. There was a statistically significant difference (P<0.05) between the wet and dry seasons, and the concentration of TCM in the wet season was higher than that in the dry season. Among the multiple exposure factors, the amount of exposure through drinking water intake was much greater than that through skin absorption. The carcinogenic risk index of THMs for children, adolescents, and adults was 22.0×10^-6, 12.2×10^-6, and 11.4×10^-6, respectively, while the non-carcinogenic risk was less than 1. Conclusion The exposure risks of THMs in children, adolescents, and adults is within an acceptable range, but monitoring needs to be strengthened, with a particular focus on children.

Objective: To develop a prediction model for mild cognitive impairment (MCI) risk among the elderly, so as to provide a tool for MCI early screening. Methods : From July 2022 to September 2024, a multi-stage stratified random cluster sampling method was used to recruit permanent residents aged ≥65 years from the Xinjiang Uygur Autonomous Region as study participants. Data on sociodemographic characteristics, nutritional status, body composition indices, bone mineral density, and handgrip strength were collected through questionnaires and physical examinations. Sarcopenia was defined based on appendicular skeletal muscle index and handgrip strength. MCI was assessed using the Mini-Mental State Examination, with adjustments for educational level. Participants were randomly divided into a training set and a validation set in a 7∶3 ratio. LASSO regression and multivariable logistic regression models were employed to screen for predictors and construct an MCI risk prediction model. The predictive performance of the model was evaluated using receiver operating characteristic (ROC) curve and decision curve analysis (DCA). Results: A total of 1 641 participants were surveyed, including 755 males (46.01%) and 886 females (53.99%). The majority of participants were aged 65-<75 years, comprising 1 154 individuals (70.32%). MCI was detected in 517 participants, corresponding to a detection rate of 31.51%. Resultsfrom LASSO regression and multivariate logistic regression analysis showed that residence (rural, OR = 2.323, 95% CI: 1.682-3.210), age (75-<85 years, OR = 1.405, 95% CI: 1.019-1.937; ≥85 years, OR = 3.655, 95% CI: 1.696-7.875), educational level (primary school, OR = 0.341, 95% CI: 0.247-0.472; junior high school, OR = 0.255, 95% CI: 0.160-0.408; high school, OR = 0.286, 95% CI: 0.154-0.531; bachelor's degree or above, OR = 0.120, 95% CI: 0.041-0.351), history of alcohol consumption (yes, OR = 3.216, 95% CI: 2.164-4.779), risk of malnutrition (yes, OR = 1.464, 95% CI: 1.064-2.014), sarcopenia (yes, OR = 3.197, 95% CI: 2.332-4.385), and waist-to-hip ratio (abnormal, OR = 1.540, 95% CI: 1.159-2.048) were identified as predictive factors for MCI among the elderly. In the training set, the area under the ROC curve, sensitivity, and specificity were 0.788, 0.719, and 0.712, respectively. In the validation set, the corresponding values were 0.784, 0.913, and 0.542, respectively. DCA demonstrated that the model provided a higher clinical net benefit for predicting MCI risk when the risk threshold probability ranged from 0.124 to 0.764. Conclusion The prediction model developed in this study demonstrates good discriminative ability and clinical utility, indicating its substantial value for predicting the MCI risk among the elderly.

Objective To explore the clinical value of artificial intelligence (AI) quantitative parameters in distinguishing pathological grades of stageⅠ invasive adenocarcinoma (IAC). Methods Clinical data of patients with clinical stageⅠ IAC admitted to Yantaishan Hospital Affiliated to Binzhou Medical University from October 2018 to May 2023 were retrospectively analyzed. Based on the 2021 WHO pathological grading criteria for lung adenocarcinoma, IAC was divided into gradeⅠ, grade Ⅱ, and grade Ⅲ. The differences in parameters among the groups were compared, and logistic regression analysis was used to evaluate the predictive efficacy of AI quantitative parameters for grade Ⅲ IAC patients. Parameters were screened using least absolute shrinkage and selection operator (LASSO) regression analysis. Three machine learning models were constructed based on these parameters to predict grade Ⅲ IAC and were internally validated to assess their efficacy. Nomograms were used for visualization. Results A total of 261 IAC patients were included, including 101 males and 160 females, with an average age of 27-88 (61.96±9.17) years. Six patients had dual primary lesions, and different lesions from the same patient were analyzed as independent samples. There were 48 patients of gradeⅠ IAC, 89 patients of grade Ⅱ IAC, and 130 patients of grade Ⅲ IAC. There were statitical differences in the AI quantitive parameters such as consolidation/tumor ratio (CTR), ect among the three goups. (P<0.05). Univariate analysis showed that the differences in all variables except age were statistically significant (P<0.05) between the group gradeⅠ+grade Ⅱand the group grade Ⅲ . Multivariate analysis suggested that CTR and CT standard deviation were independent risk factors for identifying grade Ⅲ IAC, and the two were negatively correlated. Grade Ⅲ IAC exhibited advanced TNM staging, more pathological high-risk factors, higher lymph node metastasis rate, and higher proportion of advanced structure. CTR was positively correlated with the proportion of advanced structures in all patients. This correlation was also observed in grade Ⅲ but not in gradeⅠand grade ⅡIAC. CTR and CT median value were selected by using LASSO regression. Logistic regression, random forest, and XGBoost models were constructed and validated, among which, the XGBoost model demonstrated the best predictive performance. Conclusion Cautious consideration should be given to grade Ⅲ IAC when CTR is higher than 39.48% and CT standard deviation is less than 122.75 HU. The XGBoost model based on combined CTR and CT median value has good predictive efficacy for grade Ⅲ IAC, aiding clinicians in making personalized clinical decisions.

BACKGROUND: Ferroptosis-related genes play a crucial role in regulating intracellular iron homeostasis and lipid peroxidation, and they are involved in the regulation of tumor growth and drug resistance. The expression of ferroptosis-related genes in tumor tissues can be used to predict patients' future survival times, aiding doctors and patients in anticipating disease progression. Based on the sequencing data of lung adenocarcinoma (LUAD) patients from The Cancer Genome Atlas (TCGA) database, this study identified genes involved in the regulation of ferroptosis, constructed a prognostic model, and evaluated the predictive performance of the model. METHODS: A total of 1467 ferroptosis-related genes were obtained from the GeneCards database. Gene expression profiles and clinical data from 541 LUAD patients were collected from the TCGA database. The expression data of all ferroptosis-related genes were extracted, and differentially expressed genes were identified using R software. Survival analysis was performed on these genes to screen for those with prognostic value. Subsequently, a prognostic risk scoring model for ferroptosis-related genes was constructed using LASSO regression model. Each LUAD patient sample was scored, and the patients were divided into high-risk and low-risk groups based on the median score. Receiver operating characteristic (ROC) curves were plotted, and the area under the curve (AUC) was calculated. Kaplan-Meier survival curves were generated to assess model performance, followed by validation in an external dataset. Finally, univariate and multivariate Cox regression analyses were conducted to evaluate the independent prognostic value and clinical relevance of the model. RESULTS: Through survival analysis, 121 ferroptosis-related genes associated with prognosis were initially identified. Based on this, a LUAD prognostic risk scoring model was constructed using 12 ferroptosis-related genes (ALG3, C1QTNF6, CCT6A, GLS2, KRT6A, LDHA, NUPR1, OGFRP1, PCSK9, TRIM6, IGF2BP1 and MIR31HG). The results indicated that patients in the high-risk group had significantly shorter survival time than those in the low-risk group (P<0.001), and the model demonstrated good predictive performance in both the training set (1-yr AUC=0.721) and the external validation set (1-yr AUC=0.768). Risk scores were significantly associated with the prognosis of LUAD patients in both univariate and multivariate Cox regression analyses (P<0.001), suggesting that this score is an important prognostic factor for LUAD patients. CONCLUSIONS This study successfully established a LUAD risk scoring model composed of 12 ferroptosis-related genes. In the future, this model is expected to be used in conjunction with the tumor-node-metastasis (TNM) staging system for prognostic predictions in LUAD patients.
Humans ; Ferroptosis/genetics* ; Prognosis ; Adenocarcinoma of Lung/pathology* ; Lung Neoplasms/pathology* ; Male ; Female ; Gene Expression Regulation, Neoplastic ; Middle Aged ; ROC Curve

OBJECTIVES: To investigate the role of activating transcription factor 3 (ATF3) in atherosclerotic plaques for regulating inflammatory responses during atherosclerosis (AS) progression. METHODS: Human coronary artery specimens from autopsy cases were examined for ATF3 protein expression and localization using immunofluorescence staining and Western blotting. Apolipoprotein E-deficient (ApoE^-/-) mouse models of AS induced by high-fat diet (HFD) feeding for 12 weeks were subjected to tail vein injection of adeno-associated virus serotype 9 (AAV9) to knock down ATF3 expression. After an additional 5 weeks of HFD feeding, the mice were euthanized for analyzing structural changes of the aortic plaques, and the expression levels of ATF3, inflammatory factors (CD45, CD68, IL-1β, and TNF-α), and NF-κB pathway proteins (P-IKKα/β and P-NF-κB p65) were detected. In the cell experiment, THP-1-derived foam cells were transfected with an ATF3-overexpressing plasmid or an ATF3-specific siRNA to validate the relationship between ATF3 and NF‑κB signaling. RESULTS: In human atherosclerotic plaques, ATF3 expression was significantly elevated and partially co-localized with CD68. ATF3 knockout in ApoE^-/- mice significantly increased aortic plaque volume, upregulated the inflammatory factors, enhanced phosphorylation of the NF‑κB pathway proteins, and increased the expressions of VCAM1, MMP9, and MMP2 in the plaques. In THP-1-derived foam cells, ATF3 silencing caused activation of the NF‑κB pathway, while ATF3 overexpression suppressed the activity of the NF-κB pathway. CONCLUSIONS AS promotes ATF3 expression, and ATF3 deficiency exacerbates AS progression by enhancing plaque inflammation via activating the NF-κB pathway, suggesting the potential of ATF3 as a therapeutic target for AS.
Animals ; Activating Transcription Factor 3/metabolism* ; Signal Transduction ; NF-kappa B/metabolism* ; Humans ; Mice ; Plaque, Atherosclerotic/metabolism* ; Inflammation/metabolism* ; Apolipoproteins E ; Atherosclerosis/metabolism* ; Diet, High-Fat

AIM:To observe the effect and mech-anism of cuttlebone extract regulating vascular en-dothelial growth factor(VEGF)/phosphatidylinosi-tol 3-kinase(PI3K)/protein kinase B(AKT)pathway on refractory wounds in rats.METHODS:Cuttle-bone extract(CE)was obtained by water extraction of cuttlebone.Fifty SD rats were randomly divided into negative Control group,Model group,Cuttle-bone extract low-dose(CE(L))group,Cuttlebone extract high-dose(CE(H))group,and cuttlebone ex-tract high-dose+inhibitor(CE(H)+LY294002)group.After the refractory wound model was successfully established,0.02％furacillin solution or cuttlebone extract solution were applied to the wound area of rats in each group,and the treatment was adminis-tered once a day.After 14 days of treatment for re-fractory wounds,the changes in wound healing,angiogenesis,inflammation and expression of relat-ed regulatory proteins were quantitatively ana-lyzed by measuring skin ulcer wound area,patho-logical sections,immunofluorescence staining,Eli-sa,Western blot,RT-qPCR and other methods.RE-SULTS:Compared with Model group,CE(L)and CE(H)groups can increase the number of epithelial cells and collagen,and promote the healing of re-fractory wound in rats.Serum VEGF,skin tissue mi-crovascular density,P-PI3K,P-AKT,VEGF protein ex-pression and mRNA expression levels of PI3K,Akt,VEGF and eNOS were increased(P＜0.05),while se-rum TNF-α and IL-6 levels were decreased(P＜0.05).LY294002 could partially reverse the repair-ing effect of high dose cuttlebone extract on refrac-tory wound(P＜0.05).CONCLUSION:Cuttlebone ex-tract can regulate the VEGF/PI3K/AKT signaling pathway,inhibit the inflammatory response of re-fractory wounds in rats,induce angiogenesis and promote wound healing.

Transmissible gastroenteritis(TGE)is a highly contagious gastrointestinal disease of pigs caused by the transmissible gastroenteritis virus(TGEV).It results in severe diarrhea and high mortality in suckling piglets.As no specific treatment available,vaccination is considered to be one of the most cost-effective measures for preventing and controlling TGE.However,the immune protection provided by vaccines based on traditional TGEV strains is becoming inadequate due to the continuous emergence of strong and new strains of the virus,which poses a serious threat to the pig industry's health and development.Therefore,the development of new vaccines with im-proved efficiency and broad-spectrum coverage is urgently needed.This paper aims to summarize the pathogenic structural characteristics of TGEV,discuss the latest advancements in TGEV vac-cine research and development,and propose future strategies for the development of highly effec-tive TGEV vaccines.The findings of this paper can serve as a valuable reference for effectively pre-venting and controlling TGE in clinical practice.

Objective:To investigate and assess the situation of popularization and promotion of domestically innovative medical devices in Liaoning Province,so as to provide a basis for promoting the allocation policy of domestically innovation medical devices.Methods:Self-made questionnaire and on-site filling survey were conducted to implement investigation and analysis for the allocation situation of newly medical equipment of 188 medical institutions in 9 demonstration regions of the Project on Regional Application and Demonstration of Innovative Medical Equipment in Liaoning Province from 2015 to 2020.The allocation data of medical equipment between before(from 2015 to 2017)and after the demonstration projects were implemented(from 2018 to 2020)were compared.The occupancy rate of domestically medical devices(referred as"occupancy ratio of domestic device")was used as an evaluation indicator to assess the status of equipment allocation and application before and after the projects of application and demonstration were implemented in the region of innovative equipment for diagnosis and treatment.Results:In the 9 demonstrational regions of Liaoning province,the number of newly added domestic medical devices during the period from 2018 to 2020 increased from 1,608 units between 2015 and 2017 to 1,703 units.The occupancy ratio of newly added domestic devices increased from 72.7%to 84.9%.The occupancy ratio of domestic devices of newly added key equipment increased from 63.0%to 83.4%,and the growth rate reached 20.4%.In different districts and different grades of medical institution,the increase and application of domestically medical devices appeared difference.Conclusion:The occupancy rate of newly added domestically medical devices in 9 demonstration regions in Liaoning province has generally increased.However,there are still imbalances between different regions and different grades of medical institutions.The manufacturers of domestically medical devices still need strengthen brand building and marketing promotion,so as to further enhance market competitiveness of domestically medical devices.

Objective To optimize the processing technology of Curculigo orchioides Gaertn.Methods On the basis of single factor experiment,the ratio of material to liquid,frying temperature and frying time were taken as the influencing factors,and the comprehensive scores of appearance traits,curculigoside,orcinol glucoside and orcinol gentiobioside were taken as the evaluation indexes.The optimal processing technology was optimized by Box-Behnken response surface method combined with analytic hierarchy process,and the process verification was carried out.Results The optimal process was as follows:the raw C.orchioides pieces were mixed with the same amount of Evodia rutaecarpa juice,placed in a closed container,moistened until the juice was completely absorbed,stir-fried at 130 ℃ for 6 min,taken out and dried at 60 ℃.For each 100 kg of Curculigo,10 kg of Evodia rutaecarpa was used.Evodia rutaecarpa juice preparation method:10 kg of Evodia rutaecarpa was soaked in 12 times the amount of water for 60 min,decocted for 50 min,extracted for 3 times,combined with the filtrate,and concentrated to 100 kg to obtain Evodia rutaecarpa juice.Conclusion The optimal processing technology of Curculigo orchioides Gaertn.is stable and feasible.

Objective:To compare the impact of preoperative pulmonary vascular resistance(PVR) levels on the prognosis of patients undergoing left ventricular assist device(LVAD)implantation.Methods:A retrospective analysis was conducted on the clinical data of 33 patients among September 2021 and June 2024, who underwent LVAD implantation at Zhongshan Hospital, Fudan University. 29 males and 4 females, with a mean age of(53.61±9.65)years old. The cohort included 30 cases of dilated cardiomyopathy, 2 cases of ischemic cardiomyopathy, and 1 case of noncompaction cardiomyopathy. Patients were grouped based on a preoperative PVR threshold of 3 WU, Preoperative data from Swan-Ganz catheterization, liver and renal function indicators, as well as other relevant clinical parameters were recorded. Patients were followed up to assess differences in survival outcomes.Results:Preoperative PVR was elevated in 18 cases(60%)of the patients, with a mean preoperative PVR of(3.16±1.71)WU. Immediate postoperative right heart catheterization was performed in 20 patients, showing a significant reduction in PVR from(3.85±1.72)WU preoperatively to(1.80±1.38)WU postoperatively( P<0.05). The cardiac index improved significantly from(1.95±0.63)L·min -1·m -2 preoperatively to(4.25±1.26)L·min -1·m -2 postoperatively( P<0.001). The mean follow-up duration was(14.78±12.06)months, no significant difference in postoperative survival was observed between the two groups(100% vs. 80%, P=0.667). Conclusion:Increased pulmonary resistance is often secondary to left heart dysfunction. After the implantation of a LVAD, pulmonary resistance can be improved. For patients with relatively normal right heart function before surgery, elevated pulmonary resistance does not affect the short-term outcomes of the implantation.