Objective·To develop a graph neural network(GNN)-based auxiliary diagnostic model for gallbladder cancer on CT images,and validate its accuracy and feasibility.Methods·From January 2010 to November 2023,1 774 contrast-enhanced CT arterial-phase images were acquired from 887 patients with normal gallbladder,benign gallbladder disease,or gallbladder cancer at Xinhua Hospital and Renji Hospital,Shanghai Jiao Tong University School of Medicine.These images were randomly divided into training and testing sets at a 4∶1 ratio to develop a hybrid GNN-convolutional neural network(CNN)model,named VJK-GIN.The model constructed a pixel-level graph in which each pixel served as a node,and spatial adjacency defined the edges,enabling extraction of local texture features.In the model architecture design,VJK-GIN integrated a three-layer graph isomorphism network,augmented with virtual nodes and jump-knowledge connections;global pooling compressed node features into a graph-level representation,which was classified by a multi-layer perceptron head.Five-fold cross-validation was used to compare VJK-GIN with GNN baselines(GCN,GraphSAGE,GAT,and GIN)and CNN baselines(ViT,EfficientNetV2,and ConvNeXt)in terms of accuracy,precision,recall,F1-score,and area under the receiver operating characteristic curve(AUC).Results·The results of five-fold cross-validation showed that VJK-GIN achieved an F1-score of 0.799(95%CI 0.775?0.823),recall of 0.795(95%CI 0.773?0.817),precision of 0.799(95%CI 0.775?0.823),AUC of 0.812(95%CI 0.792?0.832),and accuracy of 0.773(95%CI 0.748?0.798),surpassing all competing models across every metric.Conclusion·The VJK-GIN model exhibits high stability and accuracy in identifying contrast-enhanced CT images of normal,benign,and malignant gallbladder conditions.

Gallbladder cancer is a highly aggressive malignancy of the biliary system, often diagnosed at the advanced stage due to its insidious early symptoms, leading to poor overall progno-sis. In recent years, the rapid advancement of artificial intelligence (AI) technologies and their inte-gration into medicine have opened new avenues for the early diagnosis and precision treatment of gallbladder cancer. Currently, AI incorporating deep learning algorithm has significantly improved diagnostic sensitivity and specificity in ultrasound, computed tomography, and pathological analysis. However, clinical translation of AI models remains limited by challenges such as insufficient annota-ted data and limited model interpretability. Future research should focus on establishing multi-center data-sharing mechanisms, developing interpretability tools, and optimizing multimodal data integration strategies, thereby promoting the transformation of AI technologies from an auxiliary diagnostic tool to a core component of clinical decision-making.

Gallbladder cancer is a highly aggressive malignancy of the biliary system, often diagnosed at the advanced stage due to its insidious early symptoms, leading to poor overall progno-sis. In recent years, the rapid advancement of artificial intelligence (AI) technologies and their inte-gration into medicine have opened new avenues for the early diagnosis and precision treatment of gallbladder cancer. Currently, AI incorporating deep learning algorithm has significantly improved diagnostic sensitivity and specificity in ultrasound, computed tomography, and pathological analysis. However, clinical translation of AI models remains limited by challenges such as insufficient annota-ted data and limited model interpretability. Future research should focus on establishing multi-center data-sharing mechanisms, developing interpretability tools, and optimizing multimodal data integration strategies, thereby promoting the transformation of AI technologies from an auxiliary diagnostic tool to a core component of clinical decision-making.

Objective·To develop a graph neural network(GNN)-based auxiliary diagnostic model for gallbladder cancer on CT images,and validate its accuracy and feasibility.Methods·From January 2010 to November 2023,1 774 contrast-enhanced CT arterial-phase images were acquired from 887 patients with normal gallbladder,benign gallbladder disease,or gallbladder cancer at Xinhua Hospital and Renji Hospital,Shanghai Jiao Tong University School of Medicine.These images were randomly divided into training and testing sets at a 4∶1 ratio to develop a hybrid GNN-convolutional neural network(CNN)model,named VJK-GIN.The model constructed a pixel-level graph in which each pixel served as a node,and spatial adjacency defined the edges,enabling extraction of local texture features.In the model architecture design,VJK-GIN integrated a three-layer graph isomorphism network,augmented with virtual nodes and jump-knowledge connections;global pooling compressed node features into a graph-level representation,which was classified by a multi-layer perceptron head.Five-fold cross-validation was used to compare VJK-GIN with GNN baselines(GCN,GraphSAGE,GAT,and GIN)and CNN baselines(ViT,EfficientNetV2,and ConvNeXt)in terms of accuracy,precision,recall,F1-score,and area under the receiver operating characteristic curve(AUC).Results·The results of five-fold cross-validation showed that VJK-GIN achieved an F1-score of 0.799(95%CI 0.775?0.823),recall of 0.795(95%CI 0.773?0.817),precision of 0.799(95%CI 0.775?0.823),AUC of 0.812(95%CI 0.792?0.832),and accuracy of 0.773(95%CI 0.748?0.798),surpassing all competing models across every metric.Conclusion·The VJK-GIN model exhibits high stability and accuracy in identifying contrast-enhanced CT images of normal,benign,and malignant gallbladder conditions.

Objective:The purpose of this study was to investigate the evaluating value of modified critical care ultrasonic examination(M-CCUE) scheme for the etiological diagnosis of shock in ICU patients.Methods:The prospective study collected relevant clinical data of various shock patients admitted to the Department of Intensive Care Medicine, Henan Provincial People's Hospital from May 2020 to July 2021, including hemodynamic、blood indicators、organ/tissue perfusion and prognostic evaluation indicators.All selected patients completed the initial M-CCUE assessment within 30 minutes, were scored according to the M-CCUE score system and related data results were analyzed.Results:Ninety-three patients were included in this study,Two of them were not completed the M-CCUE assessment due to emergency treatment immediately after entering our department, and five were excluded due to inconsistent ultrasound judgments by the two physicians. In the end, a total of 86 patients were enrolled in the group. In patients applied with M-CCUE scheme,time to preliminary diagnosis and final diagnosis were (13.02±3.15)min and (67.70±20.20)min respectively, the accuracy of diagnosis was 83.7%. Among them, distributed shock accounted for 60.4%, hypovolemic shock accounted for 25.6%, cardiogenic shock and obstructive shock accounted for 3.5%, and mixed shock accounted for 7%; MCS is (13.27±4.91), M-CCUE scheme had the high sensitivity and specificity for the diagnosis of distributed shock (sensitivity 91.2%, specificity 93.9%), hypovolemic shock (sensitivity 96.0%, specificity 96.7%), cardiogenic shock (sensitivity 85.7%, specificity 98.7%) and obstructive shock (sensitivity 60.0%, specificity 100%); MCS has a good positive correlation with APACHEⅡ score ( r=0.861, P<0.001), and has no correlation with ICU cost ( r=0.012, P=0.915). There is no significant difference in MCS between the 28d death group and the recovery group ( P=0.391). Conclusions:For shock patients admitted to ICU with unknown etiology, the initial diagnosis of the cause of the M-CCUE program takes less time, has a higher correct diagnosis rate, sensitivity and specificity, and its quantitative evaluation results can predict the patient's criticality.

Objective:To investigate the effect of triptolide on radiosensitivity of lung cancer cells and its mechanism.Methods:The lung cancer cells H1299, A549, H157 and H838 were cultured. The strongest radio resistance cell line, H1299 was selected by cell clone formation experiment and for the subsequent experiments. 3-(4, 5-dimethyl-2-thiazolyl)-2, 5-diphenyl-2H tetrazolium bromide (MTT) was used to detect the effect of different concentrations of triptolide on the proliferation of H1299 cells. The optimal concentration of triptolide was 50nmol/L, and the optimal treatment time was 48 hours. The H1299 cells were divided into the control group, triptolide group (50 nmol/L), 4 Gy group and triptolide+ 4 Gy group. Flow cytometry was used to detect the apoptosis rate of H1299 cell. Western Blot was used to detect the proteins expression levels of p-Chk2, p-ATM, p-p53, Bcl-2, Bax and cleaved-Caspase 3.Results:The apoptotic rate and protein levels of Bax, cleaved-Caspase 3, p-Chk2, p-ATM and p-p53 in the 4 Gy group were (12.38±1.34)%, 0.42±0.04, 0.38±0.04, 0.98±0.11, 0.73±0.08, 0.95±0.09, respectively, higher than (3.26±2.43)%, 0.22±0.02, 0.23±0.03, 0.32±0.03, 0.21±0.02, 0.25±0.03 in the control group ( P<0.05). However, the protein level of Bcl-2 was (0.52±0.05), lower than (0.93±0.09) of the control group ( P<0.05). The survival fraction (0.462) and protein level of Bcl-2 (0.44±0.04) in the triptolide group were lower than those of the control group (0.702 and 0.93±0.09, P<0.05). The apoptotic rate and the protein levels of Bax and cleaved-Caspase 3 in the triptolide group were (9.27±1.08)%, 0.45±0.05, 0.41±0.04, respectively, higher than (3.26±2.43)%, 0.22±0.02, 0.23±0.03 in the control group ( P<0.05), and the sensitization ratio in the triptolide group was 1.579. The apoptosis rate, Bax and cleaved Caspase 3 protein expression levels in triptolide + 4 Gy group were (26.53±2.19)%, 0.91±0.09 and 0.79±0.08, respectively, higher than (12.38±1.34)%, 0.42±0.04 and 0.38±0.04 in 4 Gy group ( P<0.05). The expression level of Bcl-2 protein was (0.21±0.02), lower than (0.52±0.05) in 4 Gy group ( P<0.05). Conclusion:Triptolide increases the radiosensitivity of radiation-induced lung cancer cells by inhibiting DNA repair and inducing apoptosis.

Antibodies, Neutralizing ; Antibodies, Viral ; COVID-19 ; COVID-19 Vaccines ; Humans ; Immunization Schedule ; SARS-CoV-2 ; Vaccines, Inactivated

Objective:To assess the value of point of care ultrasound on cardiac output (CO) and volume responsiveness in patients with septic shock.Methods:A prospective investigation study was conducted. Twenty-four mechanical ventilation patients with septic shock who needed pulse-indicated continuous cardiac output (PiCCO) monitoring in the department of critical care medicine of Zhengzhou University People's Hospital, Henan Provincial People's Hospital from November 25, 2020 to April 30, 2021 were selected as the subjects, the patient's basic information and laboratory test results were recorded. PiCCO was used as standard to monitor CO and stroke volume variability (SVV) at 0, 2, 6, 12, 24 and 48 hours. At the same time, point of care transthoracic echocardiography (TTE) was used to measure velocity time integral (VTI) and inferior vena cava diameter (dIVC), the CO, VTI variation rate (△VTI) and dIVC variation rate (△dIVC) were calculated. Then, using the value monitored by PiCCO as the standard, the consistency and correlation analysis were carried out between point of care ultrasound with PiCCO.Results:Twenty-two out of 24 patients obtained satisfactory ultrasound Doppler images, the heart rate (HR), mean arterial pressure (MAP) and body temperature of the enrolled patients were consistent with the pathophysiological characteristics of septic shock. With the extension of treatment time, HR and CO both gradually decreased, and MAP gradually increased, reaching a peak or trough at 48 hours after admission. The difference were statistically significant compared with the time of admission [HR (bpm): 90.36±15.35 vs. 116.82±19.82, MAP (mmHg, 1 mmHg = 0.133 kPa): 87.82±11.06 vs. 58.82±9.85, CO (L/min): 4.80±0.56 vs. 6.78±1.31, all P < 0.05]. The CO obtained by PiCCO and point of care ultrasound had good agreement [5.36 (4.78, 6.33) L/min and 5.21 (4.88, 6.35) L/min, respectively], the average difference value at each time point was (-0.02±0.69) L/min, the 95% agreement limit range was -1.35-1.34, and there was a high degree of correlation ( rs = 0.800, P < 0.001); The SVV by PiCCO and the △dIVC by point of care ultrasound were in good agreement [18.00% (14.00%, 24.00%) and 21.00% (14.00%, 25.75%), respectively], the average difference value at the time point was (-3.16±6.89)%, the 95% agreement limit range was -16.89-10.54, and there was a moderate correlation ( rs = 0.702, P < 0.001); The SVV by PiCCO and the △VTI by point of care ultrasound were in good agreement [18.00% (14.00%, 24.00%) and 16.00% (11.25%, 20.75%), respectively], the average difference value at each time point was (13.03±14.75)%, and the 95% agreement limit range was 1.72-27.78, and there was a high correlation ( rs = 0.918, P < 0.001). Conclusion:Point of care ultrasound can accurately assess CO and volume responsiveness of patients with septic shock, and the △VTI is better than the △dIVC in assessing volume responsiveness.

Objective:To investigate the effect of triptolide on radiosensitivity of lung cancer cells and its mechanism.Methods:The lung cancer cells H1299, A549, H157 and H838 were cultured. The strongest radio resistance cell line, H1299 was selected by cell clone formation experiment and for the subsequent experiments. 3-(4, 5-dimethyl-2-thiazolyl)-2, 5-diphenyl-2H tetrazolium bromide (MTT) was used to detect the effect of different concentrations of triptolide on the proliferation of H1299 cells. The optimal concentration of triptolide was 50nmol/L, and the optimal treatment time was 48 hours. The H1299 cells were divided into the control group, triptolide group (50 nmol/L), 4 Gy group and triptolide+ 4 Gy group. Flow cytometry was used to detect the apoptosis rate of H1299 cell. Western Blot was used to detect the proteins expression levels of p-Chk2, p-ATM, p-p53, Bcl-2, Bax and cleaved-Caspase 3.Results:The apoptotic rate and protein levels of Bax, cleaved-Caspase 3, p-Chk2, p-ATM and p-p53 in the 4 Gy group were (12.38±1.34)%, 0.42±0.04, 0.38±0.04, 0.98±0.11, 0.73±0.08, 0.95±0.09, respectively, higher than (3.26±2.43)%, 0.22±0.02, 0.23±0.03, 0.32±0.03, 0.21±0.02, 0.25±0.03 in the control group ( P<0.05). However, the protein level of Bcl-2 was (0.52±0.05), lower than (0.93±0.09) of the control group ( P<0.05). The survival fraction (0.462) and protein level of Bcl-2 (0.44±0.04) in the triptolide group were lower than those of the control group (0.702 and 0.93±0.09, P<0.05). The apoptotic rate and the protein levels of Bax and cleaved-Caspase 3 in the triptolide group were (9.27±1.08)%, 0.45±0.05, 0.41±0.04, respectively, higher than (3.26±2.43)%, 0.22±0.02, 0.23±0.03 in the control group ( P<0.05), and the sensitization ratio in the triptolide group was 1.579. The apoptosis rate, Bax and cleaved Caspase 3 protein expression levels in triptolide + 4 Gy group were (26.53±2.19)%, 0.91±0.09 and 0.79±0.08, respectively, higher than (12.38±1.34)%, 0.42±0.04 and 0.38±0.04 in 4 Gy group ( P<0.05). The expression level of Bcl-2 protein was (0.21±0.02), lower than (0.52±0.05) in 4 Gy group ( P<0.05). Conclusion:Triptolide increases the radiosensitivity of radiation-induced lung cancer cells by inhibiting DNA repair and inducing apoptosis.

Objective:To evaluate the effects of dexmedetomidine on the content of glutamate and expression of NR1 in hippocampus of mice with endotoxemia and the role of cholinergic anti-inflammatory pathway.Methods:Eighty clean-grade male C57BL/6 mice, aged 8 weeks, weighing 24-28 g, were divided into 4 groups ( n=20 each) using a random number table method: control group (group C), endotoxemia group (group LPS), dexmedetomidine group (group DEX) and alpha-bungarotoxin (α-BGT) group.Lipopolysaccharide 20 mg/kg was intraperitoneally injected to establish the model of endotoxemia in LPS, DEX and α-BGT groups. Dexmedetomidine 40 μg/kg was intraperitoneally at 15 min before establishing the model in DEX and α-BGT groups.In group α-BGT, alpha-7 nicotinic acetylcholine receptors specific agonist α-BGT 1 μg/kg was intraperitoneally injected at 15 min before injecting dexmedetomidine.Ten mice taken in each group were selected to collect the blood samples from the eyeball and then sacrificed, and hippocampi were isolated.Enzyme-linked immunosorbent assay was used to measure the concentration of serum S100β protein and NSE, and high-performance liquid chromatography was used to determine the content of glutamate in hippocampus.Ten mice in each group were sacrificed at 6 h after establishing the model to detect the expression of NR1 in hippocampus by immumofluorescence method. Results:Compared with group C, the concentrations of serum S100β protein and NSE concentrations and hippocampal glutamate content were significantly increased, and NR1 expression was up-regulated in LPS, DEX and α-BGT groups ( P<0.01). Compared with group LPS, the concentrations of serum S100β protein and NSE concentrations and hippocampal glutamate content were significantly decreased, and NR1 expression was down-regulated in DEX and α-BGT groups ( P<0.01). Compared with group DEX, the concentrations of serum S100β protein and NSE concentrations and hippocampal glutamate content were significantly increased, and NR1 expression was up-regulated in group α-BGT ( P<0.01). Conclusion:The mechanism by which dexmedetomidine alleviates cerebral injury is associated with activating cholinergic anti-inflammatory pathway, decreasing glutamate content and down-regulating NR1 expression in mice with endotoxemia.