Objective:To investigate the protective effect of quercetin against LasB-induced apoptosis, inflammation, and oxidative stress in THP-1 macrophages, providing valuable insights into the use of quercetin as a virulence inhibitor for Pseudomonas aeruginosa infection treatment. Methods:This was an experimental study. The experimental strain was the standard strain. The LasB protein was obtained utilizing protein recombination technology, while the enzyme activity of LasB was assessed through both the Elastin Congo red assay and fluorescently labelled elastin assay. The LasB-induced THP-1 macrophage infection model was established, and quercetin was utilized for intervention. Cell viability was evaluated via CCK-8 assay, while cell morphology was observed under an inverted microscope. Apoptosis detection involved employing both TUNEL and Annexin V/PI staining. The mRNA expression and protein levels of inflammatory cytokines and COX-2 were determined by RT-qPCR and ELISA respectively. Intracellular ROS levels were quantified using the DCFH-DA fluorescent probe. One-way ANOVA was used for statistical analysis, and Tukey test was used for multiple comparisons. Results:The pLasB with a molecular weight of 33 000 and acceptable enzymatic activity (purity>90%), was successfully obtained. THP-1 macrophages treated with pLasB at a concentration of 100 μg/ml presented significantly decreased viability and integrity rate when compared with the normal control group. Additionally, pLasB promoted apoptosis, up-regulated the levels of inflammatory cytokines IL-1α, IL-1β, IL-6, IL-10, IL-12, and TNF-α, increased intracellular ROS fluorescence intensity, and elevated COX-2 mRNA expression level. Furthermore, the viability of THP-1 macrophages was significantly enhanced under quercetin intervention at concentrations of 2.5 μmol/L, 5 μmol/L and 10 μmol/L. The apoptosis rate exhibited a significant reduction from 18.32%±0.17% to 13.17%±0.20%, 11.43%±0.06% and 7.74%±0.04%, respectively ( F=1 679, P<0.05). There was a notable down-regulation of pro-inflammatory cytokines IL-1α, IL-1β, IL-6, IL-12 and TNF-α while the anti-inflammatory cytokine IL-10 showed a significant up-regulation. Both intracellular ROS fluorescence intensity ( F=86.92, P<0.05) and COX-2 level ( F=24.62, P<0.05) demonstrated a substantial decrease. Conclusion:Quercetin demonstrates significant efficacy in inhibiting LasB-induced apoptosis, inflammation, and oxidative stress in THP-1 macrophages, which highlights immense potential as a potent virulence inhibitor of Pseudomonas aeruginosa.

Objective:To investigate the protective effect of quercetin against LasB-induced apoptosis, inflammation, and oxidative stress in THP-1 macrophages, providing valuable insights into the use of quercetin as a virulence inhibitor for Pseudomonas aeruginosa infection treatment. Methods:This was an experimental study. The experimental strain was the standard strain. The LasB protein was obtained utilizing protein recombination technology, while the enzyme activity of LasB was assessed through both the Elastin Congo red assay and fluorescently labelled elastin assay. The LasB-induced THP-1 macrophage infection model was established, and quercetin was utilized for intervention. Cell viability was evaluated via CCK-8 assay, while cell morphology was observed under an inverted microscope. Apoptosis detection involved employing both TUNEL and Annexin V/PI staining. The mRNA expression and protein levels of inflammatory cytokines and COX-2 were determined by RT-qPCR and ELISA respectively. Intracellular ROS levels were quantified using the DCFH-DA fluorescent probe. One-way ANOVA was used for statistical analysis, and Tukey test was used for multiple comparisons. Results:The pLasB with a molecular weight of 33 000 and acceptable enzymatic activity (purity>90%), was successfully obtained. THP-1 macrophages treated with pLasB at a concentration of 100 μg/ml presented significantly decreased viability and integrity rate when compared with the normal control group. Additionally, pLasB promoted apoptosis, up-regulated the levels of inflammatory cytokines IL-1α, IL-1β, IL-6, IL-10, IL-12, and TNF-α, increased intracellular ROS fluorescence intensity, and elevated COX-2 mRNA expression level. Furthermore, the viability of THP-1 macrophages was significantly enhanced under quercetin intervention at concentrations of 2.5 μmol/L, 5 μmol/L and 10 μmol/L. The apoptosis rate exhibited a significant reduction from 18.32%±0.17% to 13.17%±0.20%, 11.43%±0.06% and 7.74%±0.04%, respectively ( F=1 679, P<0.05). There was a notable down-regulation of pro-inflammatory cytokines IL-1α, IL-1β, IL-6, IL-12 and TNF-α while the anti-inflammatory cytokine IL-10 showed a significant up-regulation. Both intracellular ROS fluorescence intensity ( F=86.92, P<0.05) and COX-2 level ( F=24.62, P<0.05) demonstrated a substantial decrease. Conclusion:Quercetin demonstrates significant efficacy in inhibiting LasB-induced apoptosis, inflammation, and oxidative stress in THP-1 macrophages, which highlights immense potential as a potent virulence inhibitor of Pseudomonas aeruginosa.

Objective To explore the value of coronary fat attenuation index(FAI)combined with laboratory indicators in predicting the risk of acute coronary syndrome(ACS)in patients with coronary heart disease(CHD).Methods A retrospective analysis was conducted on 454 patients who were diagnosed with CHD in Guangdong Provincial People's Hospital SCAD group(n=233)and an ACS group(n=221).Univariate and multivariate Logistic regression analyses were performed on the FAI values of the main coronary branches[right coronary artery(RCA),left anterior descending branch(LAD),left circumflex branch(LCX)],laboratory indicators,and clinical data,to identify independent risk factors for ACS in CHD patients.Receiver operating characteristic curves were constructed,and area under the curve(AUC)was calculated to evaluate the predictive performance of the independent risk factors and their combinations.Results LAD-FAI,RCA-FAI,and high-sensitivity C-reactive protein(hs-CRP)were independent influencing factors for ACS in CHD patients.The AUC for the prediction of ACS occurrence in CHD patients based on LAD-FAI,RCA-FAI,and elevated hs-CRP values alone were 0.568,0.703,and 0.749,respectively.When these three factors were analyzed in combination,the AUC was 0.815.Conclusion The combined analysis of LAD-FAI,RCA-FAI,and hs-CRP has good predictive performance for assessing the risk of ACS in CHD patients.

Objective:To explore the ventilation strategy of using pressure controlled ventilation-volume guaranteed (PCV-VG) mode combined with personalized positive end expiratory pressure (PEEP) during surgery, and its impact on oxygenation function and incidence of postoperative pulmonary complications (PPCs) in patients undergoing brain tumor surgery.Methods:Sixty patients who underwent elective brain tumor surgery at the Linyi People′s Hospital from January 2023 to June 2023 were selected. The patients were randomly divided into PCV-VG ventilation mode group (T group) and volume controlled ventilation (VCV) mode group (C group) using a random number table method, with 30 patients in each group. One patient was excluded from group T due to changes in the condition, and 29 patients were actually included. Group T adopted PCV-VG ventilation mode and searched for the maximum dynamic lung compliance (Cdyn) by titrating PEEP. The PEEP corresponding to the maximum Cdyn value was the optimal PEEP, which was maintained until the end of mechanical ventilation. Group C adopted a ventilation mode of VCV plus 5 cmH 2O fixed value PEEP. All patients underwent arterial blood gas analysis before anesthesia induction (T 1), 15 minutes after setting ventilation mode (T 2), and 15 minutes after extubation (T 3), recording arterial oxygen partial pressure (PaO 2), carbon dioxide partial pressure (PaCO 2), lactate (Lac), and blood glucose (Glu), and calculating oxygenation index (PaO 2/FiO 2). The levels of white blood cells (WBC), C-reactive protein (CRP), and procalcitonin (PCT) were recorded before and 72 hours after surgery. The incidence of postoperative PPCs at 72 hours was observed. Results:There was a statistically significant difference in the grouping effect and time effect of PaO 2 and PaCO 2 between group C and group T (all P<0.05), while there was no statistically significant difference in the interaction effect (all P>0.05); The differences in grouping effects, time effects, and interaction effects of PaO 2/FiO 2 between group C and group T were statistically significant (all P<0.05); The average value of the optimized PEEP obtained by T-group titration was 7.48 cmH 2O, corresponding to an average platform pressure (Pplat) of 14.90 cmH 2O, and an average value of 53.37 ml/cmH 2O corresponding to the maximum Cdyn value. Compared with the Pplat and Cdyn corresponding to the fixed value of 5 cmH 2O PEEP in Group C, the Pplat corresponding to the optimized PEEP in Group T was lower than that in Group C ( P<0.05), and the Cdyn was higher than that in group C ( P<0.05). The CRP level and incidence of PPCs in group T after 72 hours of surgery were significantly lower than those in group C (all P<0.05). Conclusions:Compared with VCV, the ventilation mode of PCV-VG combined with personalized PEEP can improve intraoperative lung ventilation and oxygenation function in patients with brain tumors, reduce the occurrence of pulmonary inflammation 72 hours after surgery, and lower the incidence of PPCs.

Objective To explore the value of CT-derived fractional flow reserve(CT-FFR)and pericoronary fat attenuation index(FAI)combined with clinical and coronary CT angiography(CCTA)characteristics for predicting major adverse cardiovascular events(MACE)after aortic valve replacement(AVR).Methods Data of 139 patients with aortic stenosis who underwent AVR were retrospectively analyzed.According to occurrence of MACE or not during follow-up,the patients were divided into MACE group and non-MACE group.Cox proportional hazard regression was used to analyze clinical and CCTA data,as well as CT-FFR and FAI to screen independent predictors of MACE after AVR,and nested models based on clinical data,CCTA characteristics,CT-FFR and right coronary artery(RCA)FAI were constructed.Receiver operating characteristic(ROC)curves were drawn,the area under the curve(AUC)and Harrell C index(C-index)were calculated to assess the diagnostic efficacy of each model,and their goodness of fit were evaluated.Results There were 22 cases in MACE group and 117 in non-MACE group.CT-FFR(HR=3.683)and RCA-FAI(HR=3.261)were both independent predictors of MACE in patients after AVR.The AUC of clinical model,modelclinical+CCTA,modelclinical+CCTA+CT-FFR and modelclinical+CCTA+CT-FFR+RCA-FAI was 0.636,0.730,0.758 and 0.817,and the C-index was 0.614,0.707,0.733 and 0.782,respectively.The predicted results of modelclinical+CCTA+CT-FFR+RCA-FAI were most consistent with actual results,with the best goodness of fit.Conclusion CT-FFR and RCA-FAI combined with clinical and CCTA characteristics could effectively predict MACE in patients after AVR.

Objective:To summarize the imaging characteristics of primary intestinal lymphoma (PIL).Methods:As a cross-sectional study, a total of 103 consecutive patients diagnosed as PIL by pathology were retrospectively enrolled at Affiliated Shandong Provincial Hospital of Shandong First Medical University between January 2013 to December 2023. Ninety-four patients underwent CT plain and enhanced scans, and the remaining 9 patients only underwent MRI examination. Imaging features were evaluated, including the location and shape of the tumor, the shape of the intestinal wall and lumen, abdominal lymph nodes, the density or signal intensity of the tumor, and the degree and mode of enhancement after the enhancement scan.Results:The most frequent location of PIL was the ileum (43.7%, 45/103), followed by the ascending colon (20.4%, 21/103). Ninety-one patients had a single lesion (88.3%), while the other 12 patients had multiple lesions (11.7%). Diffuse large B-cell lymphoma was the most common histopathological type of the PIL (65.0%, 67/103), followed by mucosa-associated lymphoid tissue lymphoma (9.7%, 10/103). Generally, PIL classically presented intestinal wall thickening (81.6%, 84/103) and exophytic mass (28.2%, 29/103). Aneurysmal dilatation of the lumen appeared in 19 patients. Nineteen tumors (18.4%) grew out of the lumen, and perforation was shown in 3 patients. Bulky mesenteric or retroperitoneal adenopathy occurred in 28 patients (27.2%). Seventy-two tumors (69.9%) showed homogeneous enhancement, and 75 (72.8%) showed mild-to-moderate enhancement. In DWI images, all 9 tumors showed significant diffusion limitation.Conclusions:The most frequent location of PIL was the ileum. The main imaging characteristics were segmental intestinal wall thickening, which showed mild-to-moderate homogeneous enhancement and restricted diffusion.

Objective To explore the efficacy of thoracic endovascular aortic repair(TEVAR)for the treatment of Stanford type B aortic dissection at different intervention timing.Methods The clinical data of 126 patients with Stanford B type aortic dissection,who were admitted to authors'hospital between January 2018 and April 2023,were retrospectively analyzed.Based on the time interval from the onset of disease to receiving surgery,the patients were divided into group A(＜24 h),group B(2-7 d)and group C(8-14 d).The incidences of perioperative adverse events,including endoleak,cerebral infarction,death,aortic rupture and total complications,were compared between each other among the three groups,and survival analysis was performed according to the follow-up findings.Results A total of 126 patients with Stanford type B aortic dissection were included in this study,including 50 patients of group A,43 patients of group B,and 33 patients of group C.No statistically significant differences in the general clinical data existed between each other among the three groups(P＞0.05).The differences in the incidences of perioperative acute cerebral infarction,endoleak,infection and death between each other among the three groups were not statistically significant(P＞0.05).The difference in the overall complication rate between each other among the three groups was statistically significant(P＜0.05).Log-rank testing was used to compare the survival curves of the three groups,which showed that the cumulative 5-year recurrence rate and survival rate in group A were lower than those in group B and in group C,and the differences were statistically significant(P＜0.05).Conclusion The results of this study indicate that the patients may have high incidence of adverse events and poor short-to-middle-term curative efficacy when TEVAR is performed within 24 hours after the onset of symptoms,while the patients may have better perioperative and short-to-middle-term curative efficacy if TEVAR is carried out in 2-14 days after the onset of symptoms(J Intervent Radiol,2024,33:523-528)

Objective To explore the value of a clinical-radiomics-deep learning(CRDL)fusion model based on biparametric mag-netic resonance imaging(bpMRI)in predicting biochemical recurrence(BCR)after radical prostatectomy(RP).Methods A retrospective analysis was conducted on 363 patients with prostate cancer(PCa)confirmed by RP pathology who underwent preoperative MRI,inclu-ding 84 cases experienced BCR(23.1％)and 279 cases did not experience BCR(76.9％).The patients were randomly divided into a training set(n=254)and a test set(n=109)in a ratio of 7∶3.Univariate Cox regression analysis was employed to select clinical variables related to BCR and the clinical model was constructed using backward stepwise multivariate Cox regression analysis.The radiomics features and deep learning(DL)features based on the DenseNet network were extracted.Radiomics and DL signatures were separately developed using least absolute shrinkage and selection operator(LASSO)-Cox regression algorithm.A CRDL fusion model was constructed by combining significant clinical features,DL signature and radiomics signature.The models'predictive performance for BCR was evaluated and compared using the concordance index(C-index).K-M survival curve and Log-rank test were used to assess the performance of CRDL fusion model in risk stratifica-tion of biochemical recurrence free survival(bRFS).Results In the test set,there was no statistically significant difference among C-index of radiomics signature,DL signature and clinical model(P＞0.05).The CRDL fusion model achieved a C-index of 0.83,higher than the clinical model,radiomics signature,and DL signature(P=0.03,0.01,and 0.03).K-M survival curve showed a significant difference in bRFS between low-risk and high-risk patients stratified by the CRDL fusion model[P＜0.000 1,hazard ratio(HR)=30.56,95％confidence interval(CI)10.64-87.75].Conclusion Radiomics signature and DL signature have comparable predictive per-formance for BCR after RP.The CRDL fusion model exhibits the best predictive efficacy for BCR,which is valuable for guiding postoperative treatment strategies in clinical practice.

OBJECTIVE: To compare the effectiveness of O-arm navigation and C-arm navigation for guiding percutaneous long sacroiliac screws in treatment of Denis type Ⅱ sacral fractures. METHODS: A retrospective study was conducted on clinical data of the 46 patients with Denis type Ⅱ sacral fractures between April 2021 and October 2022. Among them, 19 patients underwent O-arm navigation assisted percutaneous long sacroiliac screw fixation (O-arm navigation group), and 27 patients underwent C-arm navigation assisted percutaneous long sacroiliac screw fixation (C-arm navigation group). There was no significant difference in gender, age, causes of injuries, Tile classification of pelvic fractures, combined injury, the interval from injury to operation between the two groups ( P>0.05). The intraoperative preparation time, the placement time of each screw, the fluoroscopy time of each screw during placement, screw position accuracy, the quality of fracture reduction, and fracture healing time were recorded and compared, postoperative complications were observed. Pelvic function was evaluated by Majeed score at last follow-up. RESULTS: All operations were completed successfully, and all incisions healed by first intention. Compared to the C-arm navigation group, the O-arm navigation group had shorter intraoperative preparation time, placement time of each screw, and fluoroscopy time, with significant differences ( P<0.05). There was no significant difference in screw position accuracy and the quality of fracture reduction ( P>0.05). There was no nerve or vascular injury during screw placed in the two groups. All patients in both groups were followed up, with the follow-up time of 6-21 months (mean, 12.0 months). Imaging re-examination showed that both groups achieved bony healing, and there was no significant difference in fracture healing time between the two groups ( P>0.05). During follow-up, there was no postoperative complications, such as screw loosening and breaking or loss of fracture reduction. At last follow-up, there was no significant difference in pelvic function between the two groups ( P>0.05). CONCLUSION Compared with the C-arm navigation, the O-arm navigation assisted percutaneous long sacroiliac screws for the treatment of Denis typeⅡsacral fractures can significantly shorten the intraoperative preparation time, screw placement time, and fluoroscopy time, improve the accuracy of screw placement, and obtain clearer navigation images.
Humans ; Fracture Fixation, Internal/methods* ; Retrospective Studies ; Imaging, Three-Dimensional ; Bone Screws ; Surgery, Computer-Assisted ; Tomography, X-Ray Computed ; Spinal Fractures/surgery* ; Fractures, Bone/surgery* ; Pelvic Bones/injuries* ; Postoperative Complications ; Neck Injuries

In the past 20 years,the development of artificial intelligence has made rapid progress,and it is increasingly applied in the medical field,including medical image-assisted diagnosis and treatment,health management,disease risk prediction and so on.In this paper,the application status of artificial intelligence-assisted detection and diagnosis system based on deep learning in anorectal diseases is summarized,and the new methods related to the diagnosis and treatment of anorectal diseases at home and abroad are summarized.It mainly reviews the research progress of artificial intelligence technology in the diagnosis and treatment of anal fistula,perianal abscess,hemorrhoids and other anorectal diseases.