Objective:To explore the mediating effect of sense of coherence (SOC) on the utilization of chronic disease resources and symptom distress in liver cancer patients after transarterial chemoembolization (TACE), so as to provide a basis for comprehensive management strategies from a new perspective.Methods:A convenience sampling method was used to select 260 inpatients who underwent TACE in Xinxiang Central Hospital and Henan Provincial People's Hospital from September 2023 to October 2024 as the research objects. The Basic Information Questionnaire, Sense of Coherence Scale-13 (SOC-13), Chronic Illness Resource Survey (CIRS), and the Rotterdam Symptom Checklist (RSCL) were used to investigate the patients. Pearson correlation was used to analyze the relationships among SOC, chronic disease resource utilization, and symptom distress in patients after TACE. Structural equation modeling was established using AMOS 21.0 software to verify the mediating effect.Results:A total of 260 questionnaires were distributed, and 249 valid questionnaires were recovered, with a valid recovery rate of 95.77% (249/260). The SOC-13 score of 249 patients after TACE was (44.30±7.64), the CIRS score was (46.84±7.02), and the RSCL score was (93.61±8.85). The SOC-13 score was positively correlated with the CIRS score ( P<0.01) and negatively correlated with the RSCL score ( P<0.01). The CIRS score was negatively correlated with the RSCL score ( P<0.01). SOC had a direct negative effect on symptom distress (β'=-0.382, P<0.01), chronic disease resource utilization had a direct negative effect on symptom distress (β'=-0.176, P<0.01), and SOC played a partial mediating role between chronic disease resource utilization and symptom distress (β'=-0.148, P<0.01), with the mediating effect accounting for 45.68% of the total effect. Conclusions:There are certain deficiencies in the sense of coherence and chronic disease resource utilization in patients after TACE, and the phenomenon of symptom distress is obvious. SOC plays a partial mediating role between chronic disease resource utilization and symptom distress.

ObjectiveTo construct an animal model of respiratory syncytial virus（RSV）-infected pneumonia suitable for preclinical studies. MethodsThe virulence of RSV to the four cell lines was observed by cytopathic effect （CPE）， and 50% tissue culture infective dose（TCID₅₀） was calculated. Twenty BALB/c mice were randomly divided into a normal group and a model group. Six BALB/c-hIGF1R mice served as the humanized IGF1R model group. Except for the normal group， the other groups received intranasal RSV infection on days 1 and 3 to establish a viral pneumonia model. The efficacy of establishing an RSV-induced pneumonia animal model based on humanized insulin-like growth factor 1 receptor （IGF1R） mice was evaluated by measuring organ indices， peripheral blood lymphocyte percentages， pulmonary pathology and imaging， and pulmonary viral load. Additionally， ten BALB/c mice served as normal group， and thirty-two BALB/c-hIGF1R mice were randomly assigned to humanized IGF1R model group， ribavirin group （82.5 mg·kg^-¹·d^-¹）， and high and low dose groups of Lianhua Qingwen （3.3 mg·kg^-¹·d^-¹ ， 1.65 mg·kg^-¹·d^-¹）， with 8 mice per group. The viral load in lung tissue was measured after ribavirin and Lianhua Qingwen intervention， and the model was applied to the evaluation of anti-RSV drugs. ResultsIn the lungs of the humanized IGF1R model group， large solid and diffuse ground-glass shadows were seen， and the lung volume was significantly increased （P<0.01）. The lung index was significantly increased （P<0.01）， and both the spleen index and thymus index were significantly decreased （P<0.01）. The percentages of CD3⁺ and CD4⁺T cells were significantly decreased （P<0.05）， and there was a large amount of inflammation and stasis in the perivascular area of the lung tissue， which was predominantly characterized by lymphocytes. The endothelium of blood vessels was partially detached， with a small number of eosinophils. After infecting BALB/c-hIGF1R mice with RSV， the expression of viral nucleic acids in the lung tissue of the mice was significantly increased， with significant differences compared with the normal group （P<0.01）. The expression of viral nucleic acids in the ribavirin group and the high and low dose groups of Lianhua Qingwen was significantly reduced， with significant differences compared with the normal group （P<0.01）. ConclusionHumanized IGF1R mice are more susceptible to respiratory SVC， and the animal model of RSV-infected pneumonia based on humanized IGF1R mice was successfully constructed， which is suitable for the evaluation of anti-RSV drugs.

ObjectiveTo construct an animal model of respiratory syncytial virus（RSV）-infected pneumonia suitable for preclinical studies. MethodsThe virulence of RSV to the four cell lines was observed by cytopathic effect （CPE）， and 50% tissue culture infective dose（TCID₅₀） was calculated. Twenty BALB/c mice were randomly divided into a normal group and a model group. Six BALB/c-hIGF1R mice served as the humanized IGF1R model group. Except for the normal group， the other groups received intranasal RSV infection on days 1 and 3 to establish a viral pneumonia model. The efficacy of establishing an RSV-induced pneumonia animal model based on humanized insulin-like growth factor 1 receptor （IGF1R） mice was evaluated by measuring organ indices， peripheral blood lymphocyte percentages， pulmonary pathology and imaging， and pulmonary viral load. Additionally， ten BALB/c mice served as normal group， and thirty-two BALB/c-hIGF1R mice were randomly assigned to humanized IGF1R model group， ribavirin group （82.5 mg·kg^-¹·d^-¹）， and high and low dose groups of Lianhua Qingwen （3.3 mg·kg^-¹·d^-¹ ， 1.65 mg·kg^-¹·d^-¹）， with 8 mice per group. The viral load in lung tissue was measured after ribavirin and Lianhua Qingwen intervention， and the model was applied to the evaluation of anti-RSV drugs. ResultsIn the lungs of the humanized IGF1R model group， large solid and diffuse ground-glass shadows were seen， and the lung volume was significantly increased （P<0.01）. The lung index was significantly increased （P<0.01）， and both the spleen index and thymus index were significantly decreased （P<0.01）. The percentages of CD3⁺ and CD4⁺T cells were significantly decreased （P<0.05）， and there was a large amount of inflammation and stasis in the perivascular area of the lung tissue， which was predominantly characterized by lymphocytes. The endothelium of blood vessels was partially detached， with a small number of eosinophils. After infecting BALB/c-hIGF1R mice with RSV， the expression of viral nucleic acids in the lung tissue of the mice was significantly increased， with significant differences compared with the normal group （P<0.01）. The expression of viral nucleic acids in the ribavirin group and the high and low dose groups of Lianhua Qingwen was significantly reduced， with significant differences compared with the normal group （P<0.01）. ConclusionHumanized IGF1R mice are more susceptible to respiratory SVC， and the animal model of RSV-infected pneumonia based on humanized IGF1R mice was successfully constructed， which is suitable for the evaluation of anti-RSV drugs.

Objective:To establish a serum detection method of surface-enhanced Raman spectroscopy (SERS) combining with machine learning for early screening of colorectal cancer (CRC).Methods:Serum samples were collected from 150 CRC patients diagnosed at Jiangdu People′s Hospital, Affiliated to Yangzhou University, and also from 37 healthy subjects. Gold nanohexapod (AuNHs) arrays were prepared using an oil-water interface self-assembly method. A 5 μl serum sample was applied onto the AuNHs array. Scatheless and rapid detection for serum were performed using a Renishaw inVia Raman spectrometer at room temperature with a laser wavelength of 785 nm, exposure time of 10 s, and power of 5 mW. The raw SERS spectra were preprocessed using Savitzky-Golay smoothing, AsLS baseline correction, and Min-Max normalization with Origin 2019 software. Furthermore, the principal component analysis (PCA)-support vector machine (SVM) model was constructed using Python′s scikit-learn library. Leave-One-Out Cross-Validation (LOOCV) was used to evaluate the model′s accuracy, sensitivity, specificity, and area under the curve (AUC).Results:The AuNHs arrays exhibited uniform morphology. The relative standard deviation (RSD) of the SERS intensity at 1 080 cm -1 was 5.69%, and the RSD of the SERS intensity at 1 340 cm -1 was 6.20%. The limit of detection (LOD) of the AuNHs array was 9.42×10 -12 mol/L. The PCA-SVM model achieved an accuracy of 90.91% (170/187), sensitivity of 96.79% (181/187), specificity of 99.47% (186/187), and an AUC of 0.98. The most significant characteristic peaks distinguishing different CRC stages were at 747, 940, 1 000, 1 447, and 1 612 cm -1. Conclusion:The serum detection method based on SERS combined with machine learning can accurately screen CRC with higher accuracy, sensitivity, and specificity, demonstrating potential clinical application value.

Objective To analyze the status quo and high-risk factors of hemorrhagic transformation(HT)in patients with acute cerebral infarction(ACI)treated with alteplase(rt-PA).Methods A total of 462 patients with ACI who were admitted to Hai'an People's Hospital and treated with rt-PA from June 2019 to June 2023 were retrospectively emrolled.According to the occurrence of HT,the patients were assigned to HT group(n=31)or non-HT group(n=431).The clinical data of the two groups were compared,and high-risk factors of HT in ACI patients treated with rt-PA were analyzed.Results The incidence of HT was 6.71%(31/462).Multivariate logistic analysis showed that increased systolic blood pressure(SBP),severe cerebral small vessel disease(CSVD),and increased neutrophil-to-lymphocyte ratio(NLR)were the high-risk factors of HT in patients with ACI after treatment with rt-PA(P＜0.05).Conclusion There is a high incidence of HT in patients with ACI after treatment with rt-PA,the levels of SBP,CSVD and NLR are the influencing factors,and they can provide a basis for prediction and clinical intervention.

Objective:To explore the mediating effect of sense of coherence (SOC) on the utilization of chronic disease resources and symptom distress in liver cancer patients after transarterial chemoembolization (TACE), so as to provide a basis for comprehensive management strategies from a new perspective.Methods:A convenience sampling method was used to select 260 inpatients who underwent TACE in Xinxiang Central Hospital and Henan Provincial People's Hospital from September 2023 to October 2024 as the research objects. The Basic Information Questionnaire, Sense of Coherence Scale-13 (SOC-13), Chronic Illness Resource Survey (CIRS), and the Rotterdam Symptom Checklist (RSCL) were used to investigate the patients. Pearson correlation was used to analyze the relationships among SOC, chronic disease resource utilization, and symptom distress in patients after TACE. Structural equation modeling was established using AMOS 21.0 software to verify the mediating effect.Results:A total of 260 questionnaires were distributed, and 249 valid questionnaires were recovered, with a valid recovery rate of 95.77% (249/260). The SOC-13 score of 249 patients after TACE was (44.30±7.64), the CIRS score was (46.84±7.02), and the RSCL score was (93.61±8.85). The SOC-13 score was positively correlated with the CIRS score ( P<0.01) and negatively correlated with the RSCL score ( P<0.01). The CIRS score was negatively correlated with the RSCL score ( P<0.01). SOC had a direct negative effect on symptom distress (β'=-0.382, P<0.01), chronic disease resource utilization had a direct negative effect on symptom distress (β'=-0.176, P<0.01), and SOC played a partial mediating role between chronic disease resource utilization and symptom distress (β'=-0.148, P<0.01), with the mediating effect accounting for 45.68% of the total effect. Conclusions:There are certain deficiencies in the sense of coherence and chronic disease resource utilization in patients after TACE, and the phenomenon of symptom distress is obvious. SOC plays a partial mediating role between chronic disease resource utilization and symptom distress.

Objective:To establish a serum detection method of surface-enhanced Raman spectroscopy (SERS) combining with machine learning for early screening of colorectal cancer (CRC).Methods:Serum samples were collected from 150 CRC patients diagnosed at Jiangdu People′s Hospital, Affiliated to Yangzhou University, and also from 37 healthy subjects. Gold nanohexapod (AuNHs) arrays were prepared using an oil-water interface self-assembly method. A 5 μl serum sample was applied onto the AuNHs array. Scatheless and rapid detection for serum were performed using a Renishaw inVia Raman spectrometer at room temperature with a laser wavelength of 785 nm, exposure time of 10 s, and power of 5 mW. The raw SERS spectra were preprocessed using Savitzky-Golay smoothing, AsLS baseline correction, and Min-Max normalization with Origin 2019 software. Furthermore, the principal component analysis (PCA)-support vector machine (SVM) model was constructed using Python′s scikit-learn library. Leave-One-Out Cross-Validation (LOOCV) was used to evaluate the model′s accuracy, sensitivity, specificity, and area under the curve (AUC).Results:The AuNHs arrays exhibited uniform morphology. The relative standard deviation (RSD) of the SERS intensity at 1 080 cm -1 was 5.69%, and the RSD of the SERS intensity at 1 340 cm -1 was 6.20%. The limit of detection (LOD) of the AuNHs array was 9.42×10 -12 mol/L. The PCA-SVM model achieved an accuracy of 90.91% (170/187), sensitivity of 96.79% (181/187), specificity of 99.47% (186/187), and an AUC of 0.98. The most significant characteristic peaks distinguishing different CRC stages were at 747, 940, 1 000, 1 447, and 1 612 cm -1. Conclusion:The serum detection method based on SERS combined with machine learning can accurately screen CRC with higher accuracy, sensitivity, and specificity, demonstrating potential clinical application value.

Objective We generated ob mice(C57BL/6N-Lepem1/Nifdc)with Lep gene knockout(ob/ob)using the CRISPR/Cas9 system,to establish a suitable animal model for preclinical drug evaluation for clinical diseases such as diabetes.Methods According to the principle of CRISPR/Cas9 target design,single guide RNA targeting the mouse Lep gene was designed for transcription in vitro,and microinjected with Cas9 mRNA into mouse zygotes.Mouse tail DNA was extracted and detected by polymerase chain reaction and sequencing,followed by mating of positive and wild-type mice.Blood biochemistry and liver pathology were assessed in homozygous ob mice.Results Eight positive mice were identified and a stable mouse strain was selected for further breeding.Serum triglycerides,total cholesterol,and alanine aminotransferase levels were significantly higher in homozygous ob mice than in wild-type mice,and liver pathology showed inflammatory infiltration and lipid vacuolar transformations.Conclusions We successfully established a Lep gene knockout mouse model,which will provide an important addition to the national rodent experimental animal database and an animal model for preclinical drug evaluation.

Objective:To investigate the prognostic value of the combined preoperative albumin-globulin score (AGS) and skeletal muscle index (SMI), referred to as the CAS classification, in predicting postoperative outcomes in patients with pancreatic cancer.Methods:The clinical data from 265 patients who underwent surgical treatment and were pathologically confirmed to have pancreatic cancer at the Affiliated Hospital of Qingdao University between January 2012 and December 2022 were retrospectively analyzed. Patients were randomly divided into a training group ( n=184) and a validation group ( n=81) in a 7∶3 ratio. Patients' age, gender, body mass index (BMI), smoking history, alcohol consumption history, previous history of metabolic diseases, AGS, SMI, and CAS classifications within 7 days before surgery, preoperative upper abdominal CT imaging features, presence of vascular and neural invasion, and lymph node metastasis were recorded. Patients with AGS grade 0 were classified into the low AGS group ( n=48), while those with AGS grades 1 and 2 were classified into the high AGS group ( n=136). The optimal cutoff value for SMI was determined using X-tile software: male patients with SMI>42.6 cm 2/m 2 or female patients with SMI>37.8 cm 2/m 2 were categorized into the high SMI group ( n=125), while those below these thresholds were categorized into the low SMI group ( n=59). Patients with AGS grade 0 and SMI>42.6 cm 2/m 2 for males or >37.8 cm 2/m 2 for females were classified into the CAS grade 1 group (n=32). Patients with AGS grades 1 or 2 and SMI ≤42.6 cm 2/m 2 for males or ≤37.8 cm 2/m 2 for females were classified into the CAS grade 3 group ( n=43). The remaining patients were classified into the CAS grade 2 group ( n=109). Clinical characteristics were compared across these groups. Cumulative survival rates were estimated using the Kaplan-Meier method, and survival curves were plotted to analyze the relationship between AGS, SMI, and CAS classifications and overall survival after pancreatic cancer surgery. Differences among groups were assessed using the Log-Rank test. Receiver operating characteristic curves (ROC) were plotted, and the area under the curve (AUC) was calculated to evaluate the predictive efficacy of AGS, SMI, and CAS on postoperative survival. Results:Compared to the high AGS group, the low AGS group exhibited higher SMI values [(46.17±9.63) cm 2/m 2vs (44.11±7.43) cm 2/m 2], and a lower incidence of lymph node metastasis (16 vs 66, 33.3% vs 48.5%). The mortality rate in the low AGS group was 50.0%(24/48), significantly lower than the 70.6% (96/136) observed in the high AGS group, with a median overall survival of 22.08 months (95% CI 16.87-29.62) longer than 13.1 months (95% CI 8.84-18.82) in high AGS group. Compared to the low SMI group, the high SMI group had a lower prevalence of metabolic diseases (26.4% vs 44.1%). The mortality rate in the low SMI group was 78.0% (46/59), higher than the 58.4% (73/125) in the high SMI group, with a median overall survival of 12.97 months (95% CI 9.37-18.20) obviously shorter than 16.20 months (95% CI 10.7-24.12) in high SMI group. Lymph node metastasis rate for CAS grade 1, 2, and 3 was 34.4% ( n=11), 44.0% ( n=48), and 62.8% ( n=27), respectively, with corresponding mortality rate of 34.3% (11/32), 67.9% (74/109), and 79.1% (34/43), and median overall survival time of 25.55 months (95% CI 19.49-30.07), 14.10 months (95% CI 10.22-19.14), and 12.5 months (95% CI 8.53-18.00), respectively. All the differences were statistically significant (all P value <0.05). Kaplan-Meier survival analyses demonstrated that patients in the low AGS group had significantly longer overall survival than those in the high AGS group in both the training and validation cohorts. Similarly, patients in the high SMI group had longer overall survival compared to those in the low SMI group. Notably, patients in CAS grade 1 exhibited the longest overall survival, whereas those in CAS grade 3 had the shortest. ROC curve analysis revealed that the AUC for CAS classification was superior in the training cohort (0.649) compared to AGS (0.588) and SMI (0.593), and in the validation cohort (0.644) compared to AGS (0.587) and SMI (0.577). Conclusions:CAS classification could effectively predict postoperative prognosis in pancreatic cancer patients, with higher CAS grades correlating with poorer outcomes.

To enhance the spatial resolution of vibro-acoustography,an improved vibro-acoustography system is constructed using a large-angle dual-frequency focused transducer.Based on this system,mimicking phantoms are used as the experimental objects to explore the spatial resolution of vibro-acoustography,and test the vibro-acoustography results of mimicking phantoms with different acoustic characteristics.Additionally,the effects of the position of hydrophone and difference frequency on the vibro-acoustography results are studied,and the effects of transducer component distribution on vibro-acoustography results are analyzed with a simulation model established with k-Wave.The research results indicate that the vibro-acoustography system with a large-angle dual-frequency focused transducer has higher spatial resolution,contrast and specificity in imaging mimicking phantoms with different acoustic characteristics.The choice of difference frequency is critical for the imaging quality,but the position of the hydrophone and transducer component distribution have trivial effects on vibro-acoustography results.The study is expected to provide new ideas for the development of vibro-acoustography technology,and to promote its further practical application.