ObjectiveTo explore the effects of different concentrations of oleic acid on human osteosarcoma cell lines 143B and HOS， as well as the impacts of the optimal concentration of oleic acid on cellular lipid droplet synthesis and cell functions. MethodsThe 143B and HOS cells were treated with varying concentrations of oleic acid （0， 25， 50， 100， and 200 µmol/L） for 48 hours. Following treatment， oil red O staining and BODIPY staining were performed to determine the optimal concentration. Subsequently， CCK-8 assays and colony formation experiments were conducted to assess the effect of this optimal concentration of oleic acid on the cell proliferation of both cell lines. Transwell migration assays were utilized to evaluate the influence of the optimal concentration on migratory capacity and Transwell invasion assays were utilized to evaluate the invasive ability. Additionally， Western blot analysis was employed to examine the expression levels of epithelial-mesenchymal transition （EMT） markers Epithelial cadherin （E-cadherin） and Neural cadherin （N-cadherin） in response to treatment with the optimal concentration of oleic acid. ResultsTreatment with oleic acid did not induce significant cell death in either 143B or HOS cells； however， an increase in intracellular lipid droplets was observed alongside enhanced proliferation， migration， invasion capabilities as well as EMT transformation potential （P<0.05）. ConclusionOleic acid induces lipid droplet synthesis in osteosarcoma cells which subsequently promotes their proliferation， migration and invasion abilities along with EMT transformation.

Objective To systematically evaluate the risk prediction models for anastomotic leakage (AL) in patients with esophageal cancer after surgery. Methods A computer-based search of PubMed, EMbase, Web of Science, Cochrane Library, Chinese Medical Journal Full-text Database, VIP, Wanfang, SinoMed and CNKI was conducted to collect studies on postoperative AL risk prediction model for esophageal cancer from their inception to October 1st, 2023. PROBAST tool was employed to evaluate the bias risk and applicability of the model, and Stata 15 software was utilized for meta-analysis. Results A total of 19 literatures were included covering 25 AL risk prediction models and 7373 patients. The area under the receiver operating characteristic curve (AUC) was 0.670-0.960. Among them, 23 prediction models had a good prediction performance (AUC>0.7); 13 models were tested for calibration of the model; 1 model was externally validated, and 10 models were internally validated. Meta-analysis showed that hypoproteinemia (OR=9.362), postoperative pulmonary complications (OR=7.427), poor incision healing (OR=5.330), anastomosis type (OR=2.965), preoperative history of thoracoabdominal surgery (OR=3.181), preoperative diabetes mellitus (OR=2.445), preoperative cardiovascular disease (OR=3.260), preoperative neoadjuvant therapy (OR=2.977), preoperative respiratory disease (OR=4.744), surgery method (OR=4.312), American Society of Anesthesiologists score (OR=2.424) were predictors for AL after esophageal cancer surgery. Conclusion At present, the prediction model of AL risk in patients with esophageal cancer after surgery is in the development stage, and the overall research quality needs to be improved.

Objective:To construct a set of evaluation indicator system of self-health management ability for elderly with multiple chronic conditions.Methods:Indicators were initially screened through literature retrieval to form the framework of evaluation system.The Delphi method was used to conduct two rounds of consultation with 15 experts in relevant fields, and the indicators were optimized by integrating the importance and accessibility scores of indicators as well as expert opinions.SPSS 26.0 software was used to statistically analyze the results of expert consultation, and the effectiveness of the consultation was evaluated by expert positive coefficient, authority coefficient and coordination coefficient.Yaahp 12.0 software was used to construct the hierarchical structure model, and conduct pairwise comparisons of indicators at the same level to form a judgment matrix according to the Saaty 1-9 scaling method. After consistency test, the product method was applied to aggregate and determine the weights of indicators at all levels.Results:The positive coefficients of the two rounds of expert consultation were both 100%, and the expert authority coefficients were 0.825 and 0.856.In the two rounds of assessment, the ICC of importance and accessibility scores of level 2 and level 3 indicators were higher than 0.90 ( P<0.05). Following screening and revision through two rounds of expert consultation, an evaluation indicators system of self-health management ability of elderly with multiple chronic conditions was formed, including 5 first-level indicators, 18 second-level indicators and 40 third-level indicators.The weights of 5 first-level indicators determined by the hierarchical analysis method were as follows: disease management(0.203), lifestyle (0.205), psychological adjustment (0.203), social support(0.200), and self-ability evaluation(0.189). Conclusion:The evaluation indicator system of self-health management ability of elderly with multiple chronic conditions has high reliability and scientificity, and its practical utility will be further examined.

Objective Compare the depression phenotypes of a breast cancer tumor-bearing mouse model constructed using two different method and a mouse model of breast cancer depression with clinical manifestations,as well as assess their suitability for basic research.Methods We constructed a tumor model with 4T1 breast cancer cells alone(4T1 group)and a tumor-depression composite model given chronic unpredictable mild(CUMS)(4T1+CUMS group).The experimental period was 42 d,and the body mass,tumor volume,and survival time of the mice were monitored throughout the whole process.Two depressive behavioral tests(of sucrose preference test,open field test,tail suspension test,and elevated plus maze)were performed on the 15th and 29th days,respectively.Hematoxylin-eosin(HE)staining was used to observe the pathological changes of hippocampal neurons in brain tissue sections.Results(1)Body mass:The body mass of the 4T1 group and 4T1+CUMS group began to decrease from 29 d,and the body mass of the 4T1+CUMS group was significantly lower than that of the 4T1 group and Control group at the end of the experiment(P<0.001).(2)Tumor volume:There was no significant difference in the growth rate of tumors between the two model groups throughout the experiment(P>0.05).(3)Survival time:The survival rates of the 4T1 group and 4T1+CUMS group were 100％and 60％,and the first death of mice in the 4T1+CUMS group was on the 36th day.(4)Behavior test of depression:There was no significant difference between the three groups in the first depressive behavior tests(P>0.05),and the two groups showed obvious depressive phenotypes in the second behavioral tests.The sucrose preference index and activity distance in the central area were significantly decreased in the two model groups(P<0.001),and the immobility time was significantly increased(P<0.001).(5)Pathological section of brain tissue:On pathological examination of brain tissue,we observed a reduced number of neuronal cells in the hippocampus of the 4T1 group and 4T1+CUMS group,their morphology was irregular,the arrangement between the cells was disordered and the gap was unclear,and some nucleoli were blurred.Conclusions Although the tumor-only method and the tumor with compound stress stimulation method can both be used to prepare breast cancer depression models,the tumor-only modeling method is simpler and the mortality rate after successful modeling is higher.The long window of time is convenient for subsequent drug administration and detection,and the causes of the depression phenotype are more in line with the clinical causes and manifestations.Therefore,the 4T1 model can provide a reference model for future animal experiments on breast cancer tumor-related depression.

Objective:To explore the risk factors of pneumoconiosis complicated with pulmonary tuberculosis, to construct a clinical prediction model for patients with pneumoconiosis complicated with pulmonary tuberculosis, and to provide a scientific basis for the prevention of pneumoconiosis complicated with pulmonary tuberculosis.Methods:In January 2024, a total of 232 patients with pneumoconiosis (including coal workers' pneumoconiosis and silicosis) who were treated in the Department of Respiratory and Critical Care Medicine of the Third People's Hospital of Xinjiang Uygur Autonomous Region (Xinjiang Uygur Autonomous Region Occupational Disease Hospital) from January 2022 to January 2023 were randomly selected as the study subjects. Collectted basic patient information and diagnostic data. Multivariate logistic regression analysis was used to screen the risk factors related to pneumoconiosis complicated with pulmonary tuberculosis. According to the results of multivariate logistic regression analysis, a nomogram was established, and the area under the receiver operating characteristic (ROC) curve (AUC), calibration curve and decision curve analysis (DCA) were used to evaluate the predictive ability.Results:Among the 232 patients with pneumoconiosis, 73 were complicated with pulmonary tuberculosis, accounting for 31.47% (73/232). Multivariate logistic regression analysis determined that dust exposure time, type of work, smoking history, and lung function level were all risk factors for pneumoconiosis complicated with tuberculosis ( OR=10.33, 95% CI=1.92~55.66, OR=5.43, 95% CI=1.91~15.44, OR=3.10, 95% CI=1.15~8.37, OR=4.00, 95% CI=1.62~9.87; P<0.05). The constructed nomogram model has good clinical applicability when the area under the receiver operating characteristic (ROC) curve is 0.77 [95% CI (0.69, 0.73) ], the calibration curve is close to the ideal diagonal, the absolute error between the simulation curve and the actual curve is 0.03, and the DCA decision curve shows that the probability threshold of the nomogram model is 1%-90%. Conclusion:The risk of pneumoconiosis complicated with tuberculosis is high, and the risk factors of dust exposure time, smoking history, type of work and lung function level are high. This nomogram model can be used to predict the risk of pulmonary tuberculosis in patients with pneumoconiosis, which is helpful for early intervention.

Acute lung injury (ALI) is a significant complication of sepsis, characterized by high morbidity, mortality, and poor prognosis. Neutrophils, as critical intrinsic immune cells in the lung, play a fundamental role in the development and progression of ALI. During ALI, neutrophils generate neutrophil extracellular traps (NETs), and excessive NETs can intensify inflammatory injury. Research indicates that Taohe Chengqi decoction (THCQD) can ameliorate sepsis-induced lung inflammation and modulate immune function. This study aimed to investigate the mechanisms by which THCQD improves ALI and its relationship with NETs in sepsis patients, seeking to provide novel perspectives and interventions for clinical treatment. The findings demonstrate that THCQD enhanced survival rates and reduced lung injury in the cecum ligation and puncture (CLP)-induced ALI mouse model. Furthermore, THCQD diminished neutrophil and macrophage infiltration, inflammatory responses, and the production of pro-inflammatory cytokines, including interleukin-1β (IL-1β), IL-6, and tumor necrosis factor α (TNF-α). Notably, subsequent experiments confirmed that THCQD inhibits NET formation both in vivo and in vitro. Moreover, THCQD significantly decreased the expression of peptidyl arginine deiminase 4 (PAD4) protein, and molecular docking predicted that certain active compounds in THCQD could bind tightly to PAD4. PAD4 overexpression partially reversed THCQD's inhibitory effects on PAD4. These findings strongly indicate that THCQD mitigates CLP-induced ALI by inhibiting PAD4-mediated NETs.
Extracellular Traps/immunology* ; Acute Lung Injury/immunology* ; Animals ; Sepsis/immunology* ; Drugs, Chinese Herbal/pharmacology* ; Mice ; Neutrophils/immunology* ; Male ; Protein-Arginine Deiminase Type 4/genetics* ; Mice, Inbred C57BL ; Humans ; Disease Models, Animal ; Cytokines/metabolism*

Objective:To characterize the vaginal flora of pregnant women during the second trimester using full-length 16S rRNA sequencing.Methods:A total of 142 pregnant women were systematically sampled from a pregnancy cohort. Vaginal swabs were collected for full-length 16S rRNA gene sequencing，and bioinformatics analysis was performed to characterize the vaginal microbiota and identify associated influencing factors.Results:Among the 142 pregnant women，the most frequently detected species were Lactobacillus iners（83.10%，118/142）and Lactobacillus crispatus（49.30%，70/142）. The majority of samples（90.85%，129/142）were classified as Lactobacillus-dominant vagitypes，with the Lactobacillus iners vagitype accounting for 48.59%（69/142）and the Lactobacillus crispatus vagitype accounting for 38.73%（55/142）. The vaginal microbiota was clustered into five community state types（CSTs）：Ⅰa，Ⅰb，Ⅲa，Ⅲb，and Ⅳ. The most prevalent CSTs were Lactobacillus iners-dominated CST-Ⅲ（51.41%，73/142）and Lactobacillus crispatus-dominated CST-Ⅰ（24.65%，35/142）. No samples were classified as CST-Ⅱ or CST-Ⅴ. A significant negative correlation was observed between Lactobacill and vaginosis-associated bacteria. Age，alcohol consumption，smoking，and vaginal treatments showed significant associations or trends toward significance with various Alpha diversity indices. Vaginal douching was associated with CST clustering，while obstetric history（primiparity，previous miscarriage history）was associated with vagitype classification. However，no significant associations were identified between maternal baseline characteristics and Beta diversity indices. Conclusions:Full-length 16S rRNA gene sequencing reveals that the vaginal microbiota of pregnant women is dominated by Lactobacillus iners and Lactobacillus crispatus. Maternal age，lifestyle factors such as smoking and alcohol consumption，and obstetric history are significantly associated with variations in vaginal microbiota composition.

Objective:To explore the impact of noise and dust exposure in the mechanical manufacturing industry on the risk of hypertension and abnormal electrocardiogram in workers, and their combined effects, in order to provide support for the prevention and treatment of occupational related diseases among workers.Methods:In January 2024, A convenience sampling method was used to study 2802 on-the-job workers who underwent occupational health check-ups from January 2023 to December 2023 at a machinery manufacturing enterprise in Baotou, Inner Mongolia. Blood pressure and electrocardiogram results were analyzed in the noise group, dust group, dust noise group and control group according to the exposure factors. For count data, the chi-square test was employed to analyze differences among groups. Additionally, a binary logistic regression model was utilized to assess the impact of dust and noise exposure on the prevalence of hypertension and electrocardiogram abnormalities.Results:The stratified analysis results showed that the differences in hypertension prevalence among the four groups were statistically significant ( P<0.001) in males, age groups >30-40 years, >40-50 years, >50 years, different exposure durations, and different enterprise sizes. For ECG abnormalities, significant differences were observed among the four groups ( P<0.001) in males, the age group >30-40 years, different enterprise sizes, and those with exposure durations ≤15 years. The trend test for hypertension prevalence across different age groups revealed that as age increased, the prevalence of hypertension showed an upward trend in the noise-exposed group, dust-exposed group, and combined dust-noise-exposed group ( χ2=10.76, 4.25, 6.60, P<0.001, 0.039, 0.010) . Binary regression model analyses revealed that the the risk of hypertension in the noise group, dust group and dust noise group was 2.63 times ( OR=2.63, 95% CI: 1.89~3.67, P<0.001) , 2.36 times ( OR=2.36, 95% CI: 1.76~3.16, P<0.001) and 2.69 times ( OR=2.69, 95% CI: 2.14~3.38, P<0.001) . Using ECG abnormalities as the dependent variable and incorporating the statistically significant variables from Table 1 as independent variables into the binary logistic regression model, the results showed no statistically significant differences in the risk of ECG abnormalities in the dust-exposed, noise-exposed, and combined dust-noise-exposed groups compared to the control group ( P> 0.05) . Conclusion:Combined exposure to dust and noise increases the risk of hypertension in workers and has a combined effect.

Objective:To analyze the clinical features of postnatal cytomegalovirus (pCMV) infection in very preterm infants or very low birth weight infants.Methods:This was a case-control study. A total of 50 very preterm or very low birth weight infants who were hospitalized and diagnosed with pCMV infection in the Neonatal Intensive Care Unit of Children′s Hospital, Zhejiang University School of Medicine from January 2019 to June 2024, were enrolled as the pCMV group. Meanwhile, through propensity score matching, each infant in the pCMV group was paired with a very preterm or very low birth weight infant without cytomegalovirus infection during the same period, constituting the control group, also consisting of 50 cases. Subsequently, the pCMV group was divided into a treated subgroup and an untreated subgroup according to antiviral treatment. Clinical data of all enrolled infants, including clinical features, laboratory test results, and clinical outcomes were collected. Differences in relevant parameters were analyzed using with χ2 test or continuity-corrected χ2 test or Fisher′s exact test, independent-samples t test, Mann-Whitney U test as appropriate. Logistic regression was employed to analyze the risk factors, and Spearman correlation analysis was applied for non-normal distribution data or ordinal data. Results:There were no significant differences between the pCMV group and the control group in terms of gestational age, birth weight, proportion of male infants, Apgar score at the 1 st minute and 5 th minute and days of breastfeeding during the first 3 weeks of life (all P>0.05). Compared with the control group, the duration of hospital stay and invasive mechanical ventilation were both longer in the pCMV group (both P<0.05). The risks of bronchopulmonary dysplasia, retinopathy of prematurity, and hearing impairment were all higher in the pCMV group when compared with the control group(all P<0.05). The body weight and body length of the infants in the pCMV group were both lower than those of in the control group at the corrected gestational age of 36 weeks (both P<0.05). pCMV infections were associated with the increased incidence of both necrotizing enterocolitis ( OR=11.50, 95% CI 1.94-68.30, P=0.007) and severe intraventricular hemorrhage ( OR=6.82, 95% CI 1.19-38.97, P=0.031) in very preterm infants or very low birth weight infants. In the treated group, the platelet count was significantly improved after 6-8 weeks of antiviral treatment compared with that before treatment ((245±19)×10 9/L vs. (119±14)×10 9/L, t=5.37, P<0.001). Conclusions:Very preterm infants or very low birth weight infants with postnatal cytomegalovirus infection have longer hospital stay and duration of invasive mechanical ventilation, and are highly susceptible to bronchopulmonary dysplasia, retinopathy of prematurity, hearing impairment, and growth restriction. Antiviral treatment can effectively ameliorate thrombocytopenia in these infants.

Objective:To explore the application value of the double-low technique of auto-prescription technique combined with iterative reconstruction algorithm in CT pulmonary angiography (CTPA).Methods:A total of 86 patients who were clinically suspected of having pulmonary embolism and underwent CTPA examination in the First Affiliated Hospital of Dalian Medical University were prospectively collected and randomly assigned to a control group ( n = 45) and an observation group ( n = 41) according to the random number table method. In the control group, a tube voltage of 120 kVp was used with a standard iodine contrast agent dose of 60 ml, and images were reconstructed using the 40% adaptive statistical iterative reconstruction algorithm (ASIR-V). In the observation group, the tube voltage was set by auto-prescription technique, and 0.4 ml/kg of personalized low iodine contrast agent was used. Images were reconstructed with 40%, 60%, and 80% ASIR-V, respectively, and designated as observation 1, observation 2, and observation 3 respectively. The volume CT dose index (CTDI vol), dose-length product (DLP), and effective dose ( E) were recorded and compared among the four groups. The CT values and standard deviation (SD) of the main pulmonary artery, left and right pulmonary arteries, as well as the left and right pulmonary lobe arteries were measured, and the signal-to-noise ratio (SNR) and contrast-to-noise ratio (CNR) of these arteries were calculated. Additionally, the SD value at the contrast medium concentration in the superior vena cava was measured, and the artifact index (AI) was subsequently calculated. Two observers independently assessed the visibility of the pulmonary arteries, image noise, and sclerosis artifacts in the superior vena cava using a blinded method. Results:The E in the observation group was 3.28 (2.08, 3.93) mSv, which was significantly lower than that in the control group [5.03 (4.86, 5.20)] mSv, and the difference was statistically significant ( Z = 174.00, P < 0.05). The contrast agent dosage in the observation group was 28 (25, 30) ml, which was lower than that in the control group (60 ml), and the difference was statistically significant ( Z = 0, P < 0.05). The CT values for the main pulmonary artery and the left and right pulmonary lobe arteries in the observation group were higher than those in the control group, and the differences were all statistically significant ( t = -3.65 to -3.89, P < 0.05). The SNR and CNR of the observation groups 2 and 3 were greater than those of the control group ( t = -9.20 to -2.98, P < 0.05). The consistency of subjective evaluations between the two observers was good ( Kappa = 0.729 - 0.879, P < 0.05). There was no statistically significant difference in the subjective score of pulmonary artery visibility between the control and observation group ( P > 0.05). The subjective scores for image noise in observation group 2 and group 3 were higher than those in the control group ( U =598.50, 654.00, P < 0.05). The presence of artifacts due to sclerosis in the superior vena cava was significantly lower in the observation group compared to the control group ( χ2 = 46.09, P < 0.001). Conclusions:The combination of auto-prescription technique with ASIR-V reconstruction algorithm and low contrast agent imaging protocol can reduce the radiation dose and contrast agent dose without compromising image quality, and enable personalized double low CTPA imaging.