Objective: To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer. Materials and Methods: A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs. Results: All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027). Conclusion The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.

Objective: To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer. Materials and Methods: A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs. Results: All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027). Conclusion The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.

Objective: To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer. Materials and Methods: A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs. Results: All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027). Conclusion The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.

Objective: To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer. Materials and Methods: A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs. Results: All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027). Conclusion The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.

Objective: To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer. Materials and Methods: A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs. Results: All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027). Conclusion The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.

Esophageal cancer is one of the malignant tumors that poses a threat to human health, with both high incidence and malignancy. Currently, surgery following neoadjuvant chemoradiotherapy is the standard treatment for locally advanced esophageal cancer; however, the long-term prognosis remains unsatisfactory. In recent years, inhibitors of programmed death protein-1 (PD-1) and its ligand (programmed death ligand-1, PD-L1) have achieved breakthrough progress in other solid tumors, and research on esophageal cancer is gradually being conducted. With the demonstration of good efficacy of PD-1/PD-L1 inhibitors in the first-line and second-line treatment of advanced unresectable esophageal cancer, their incorporation into neoadjuvant treatment regimens has become a hot topic. Therefore, this article reviews the mechanism of action of PD-1/PD-L1 inhibitors and their application in the neoadjuvant treatment of esophageal cancer.

Objective To explore the effect and mechanism of hydroxysafflor yellow A(HSYA)on autophagy in bEnd.3 cells after oxygen-glucose deprivation(OGD).Methods The bEnd.3 cells were divided into normal group(conventional culture),model group(OGD model),HSYA group(OGD model+75 μmol·L-1 HSYA),3-methyladenine(3MA)group(5 mmol·L-1 3MA+OGD model)and 3 MA+HSYA group(5 mmol·L-1 3 MA+OGD model+75 μmol·L-1 HSYA).The level of apoptosis was determined by TUNEL fluorescence staining;Western blot was used to detect the expression of autophagy,blood brain barrier(BBB)related proteins;real time fluorescence quantitative polymerase chain reaction method for determining the expression of sirtuin-1(SIRT1)and forkhead box protein O3a(FOXO3A)mRNA.Results In the normal group,model group,HSYA group,3MA group and 3MA+HSYA group,the positive cells selected for TUNEL staining were 5.00±1.00,28.00±2.00,21.00±3.00,35.33±2.51 and 29.67±2.52;the expression levels of microtubule-associated protein 1 light chain 3-Ⅱ/-Ⅰ(LC3-Ⅱ/-Ⅰ)were 0.90±0.20,1.34±0.10,1.95±0.14,0.76±0.15 and 1.14±0.09;sequestosome 1(P62)were 0.99±0.02,0.60±0.02,0.38±0.01,0.67±0.04 and 0.54±0.01;occludin were 1.39±0.17,0.62±0.15,1.00±0.09,0.40±0.13 and 0.80±0.15;zonula occludens-1(ZO-1)were 1.63±0.20,0.64±0.06,0.98±0.14,0.37±0.14 and 0.87±0.04;SIRT1 mRNA were 1.00±0.00,0.75±0.07,1.69±0.09,0.31±0.02 and 0.56±0.01;FOXO3A mRNA were 1.00±0.00,0.80±0.05,1.47±0.09,0.40±0.01 and 0.62±0.09,respectively.Significant differences were found between model group and normal group,HSYA group and model group,3MA+HSYA group and 3MA group(P＜0.05,P＜0.01,P＜0.001).Conclusion HSYA may enhance autophagy levels in bEnd.3 cells after OGD through the SIRT1/FOXO3A pathway,inhibit cell apoptosis and alleviate BBB damage.

ObjectiveTo analyze the changes in CD4⁺T lymphocyte (CD4 cells) levels and influencing factors in patients with human immunodeficiency virus/acquired immune deficiency syndrome (HIV/AIDS) before and after highly active anti-retroviral therapy (HAART) in Xining City, Qinghai Province, so as to provide a scientific basis for formulating corresponding follow-up intervention strategies. MethodsFrom February to July, 2023, 468 HIV/AIDS patients who received HAART in Xining, Qinghai Province were selected using a convenient sampling method for a questionnaire survey. Venous blood was collected and CD4 cell levels were detected by flow cytometry. SPSS 22.0 was used for t-test, analysis of variance and χ²⁃test, and multiple linear regression analysis was used to explore the level of CD4 cells and its main influencing factors in HIV/AIDS population after HAART. ResultsUnivariate analysis showed significant differences in baseline CD4 cell levels among people of different ages, nationalities, residential types and annual income (P<0.05). There were statistically significant differences in the most recent CD4 cell levels among people of different nationalities, different marital statuses, with or without regular physical exercise, with or without hypertension, different baseline CD4 cell count, different years since HIV diagnosis, different years of HAART treatment, and different treatment programs (P<0.05). Multiple linear regression analysis showed that the baseline CD4 cell count was 350‒499 (t=7.40) and ≥500 (t=6.69), the number of years of HAART treatment was 5‒9 (t=3.59) and ≥10 (t=4.54), the number of years of HIV diagnosis was ≥10 (t=-2.58), the number of people receiving second-line treatment (t=-2.49) and the latest CD4 cell levels after HAART were statistically correlated (P<0.05). ConclusionThe CD4 cell levels of HIV/AIDS population in Xining city of Qinghai Province are affected by many factors. Comprehensive health intervention should be carried out for this population, the implementation of early detection and treatment strategy should be strengthened, relevant physiological and biochemical indicators should be monitored regularly, and health education should be carried out, so as to encourage this population group to choose a healthy lifestyle, improving their quality of life from multiple dimensions.

Objective:To explore the improvement effect of positive emotional support combined with education mode based on animation demonstration on treatment compliance in children with bronchial asthma (BA) so as to provide guidance for clinical nursing of BA children.Methods:The quasi-experiment research scheme was adopted. The children with BA admitted to the First Affiliated Hospital of Xinjiang Medical University were enrolled as the research objects by convenience sampling method. Grouped according to admission time, 52 children with BA were treated as the control group from January 2020 to June 2021, and 52 children with BA were treated as the experimental group from July 2021 to June 2022. The control group received routine nursing care, while the experimental group received positive emotional support in addition to routine nursing care, combined with an animated demonstration health education model for intervention.According to 6 months of follow-up, changes of treatment compatibility, asthma control, psychological state and quality of life after intervention in the two groups were observed.Results:In control group, there were 31 boys and 21 girls, with age of (9.95 ± 1.57) years. In experimental group, there were 35 boys and 17 girls, with age of (9.46 ± 1.02) years. After intervention, the treatment compatibility of the experimental group was 96.15% (50/52), which was higher than 80.77% (42/52) of the control group, and the difference was statistically significant ( χ2=6.03, P<0.05); the asthma control rate in the experimental group was 94.23% (49/52), which was higher than the control group′s 75.00% (39/52), and the difference was statistically significant ( χ2=7.39, P<0.05); the scores of psychological state (psychoticism, neuroticism, dissembling or lying) in experimental group were 42.18 ± 4.21, 49.23 ± 4.66 and 48.63 ± 4.26, higher than those in control group 38.22 ± 4.32, 46.36 ± 4.87, 44.33 ± 3.47, the differences were statistically significant ( t=4.73, 3.07, 5.64, all P<0.05), The score of introversion-extroversion of the observation group was 56.86 ± 5.58, lower than the control group′s 59.66 ± 5.17, and the difference was statistically significant ( t=2.65, P<0.05). The total score of the scale and the scores of symptoms, activities and emotions in experimental group were 114.71 ± 18.33, 51.36 ± 7.88, 24.66 ± 4.36 and 38.69 ± 5.29, higher than those in control group 96.42 ± 14.34, 43.26 ± 7.21, 22.28 ± 4.27, 30.88 ± 5.84, the difference was statistically significant ( t values were 2.81-7.15, all P<0.05). Conclusions:The application of positive emotional support combined with education mode based on animation demonstration in the clinical nursing of BA children can improve treatment compliance and asthma control rate, effectively improve quality of life and psychological state.

Outer membrane vesicles (OMVs) are nanoscale vesicles secreted by Gram-negative bacteria. As a unique bacterial secretion, OMV secretion can help bacteria maintain the outer membrane stability or remove harmful substances. Studies have shown that local separation of outer membrane and peptidoglycan layers led by abnormalities in outer membrane protein function, abnormal structure or excessive accumulation of LPS, and erroneous accumulation of phospholipids in the outer leaflet, which can all lead to bacterial outer membrane protrusion and eventually bud formation of OMVs. Since OMVs are mainly composed of bacterial outer membrane and periplasmic components, the pathogen associated molecular patterns (PAMPs) on their surface can trigger strong immune responses. For example, OMVs can recruit and activate neutrophils, polarize macrophages to secrete large amounts of inflammatory factors. More importantly, OMVs can act as adjuvants to induce dendritic cell (DC) maturation to enhance adaptive immune response in the body. At the same time, OMVs are derived from bacteria, which make it easy to modify. The methods by genetic engineering and others can improve their tumor targeting, give them new functions, or reduce their immunotoxicity, which is conducive to their application in tumor therapy. OMVs not only induce apoptosis or pyroptosis of tumor cells, but also regulate the host immune system, which makes OMVs themselves have a certain killing effect on tumors. In addition, the tendency of neutrophils to inflammatory tumor sites and the formation of neutrophil extracellular traps enable OMVs to target tumor sites, and the suitable size and the characteristic that they are easily taken up by DCs give OMVs a certain lymphatic targeting ability. Therefore, OMVs are often employed as excellent drug or vaccine carriers in tumor therapy. This review mainly discusses the biological mechanism of OMVs, the regulatory effects of OMVs on immune cells, the functional modification strategies of OMVs, and their research progress in tumor therapy.