Objective:To assess the presence of chemotherapy-induced abnormal myocardial perfusion using SPECT myocardial perfusion imaging (MPI) in patients with malignant hematologic diseases before hematopoietic stem cell transplantation (HSCT), and to explore its predictive value for mid-to-long-term mortality risk after transplantation.Methods:From March 2016 to August 2022, 139 patients with malignant hematologic diseases (80 males, 59 females; age (45.7±13.0) years) who underwent resting MPI to assess the presence of chemotherapy-induced abnormal myocardial perfusion before HSCT at the First People′s Hospital of Changzhou were prospectively included. Baseline-data were collected and patients were followed up for mid-to-long-term (≥100d) adverse outcomes after transplantation. Overall survival (OS) of each patient was recorded. The χ2 test and independent-sample t test were used for data analysis. Cox regression analysis was utilized to identify independent risk factors affecting OS. Kaplan-Meier method and log-rank test were used for survival analysis. Results:The median follow-up time of 139 patients was 41.6(19.5, 65.6) months, with all-cause mortality of 28.8%(40/139), and the cardiovascular mortality was 42.5%(17/40). The prior cardiotoxic therapies rate (anthracycline dose ≥250mg/m 2) was higher in the death group compared to that in the survival group (15.0% (6/40) vs 5.1% (5/99); χ2=3.87, P=0.049). Pre-transplant abnormal myocardial perfusion rate was also higher in the death group compared to that in the survival group (55.0%(22/40) vs 22.2%(22/99); χ2=15.19, P<0.001). But pre-transplant left ventricular ejection fraction (LVEF) was lower in the death group compared to that in the survival group ((60.4±5.2)% vs (62.9±3.9)%; t=-3.07, P=0.003). Cox multivariate regression analysis showed that the abnormal myocardial perfusion indicated by MPI before transplantation was an independent risk factor affecting OS after HSCT in patients with malignant hematologic diseases (hazard rate ( HR)=2.70, 95% CI: 1.33-5.46, P=0.006). Kaplan-Meier analysis showed the 1-, 2-, 5-year OS rates of patients with the abnormal myocardial perfusion and the normal myocardial perfusion were 73.5%, 69.1%, 49.2% and 94.6%, 89.9%, 81.6%, respectively, with significant difference ( χ2=17.01, P<0.001). Conclusions:Patients with abnormal myocardial perfusion detected by MPI before HSCT for malignant hematologic diseases have a poorer prognosis, characterized by lower post-transplantation OS rates. The utilization of MPI for assessing abnormal myocardial perfusion before transplantation in patients with malignant hematologic diseases can aid in predicting the mid-to-long-term mortality risk after transplantation.

Salmonellosis represents a global epidemic, and the emergence of extensively drug-resistant (XDR) Salmonella and its sustained transmission worldwide constitutes a significant public health concern. Flagellum-mediated motility serves as a crucial virulence trait of Salmonella that guides the pathogen toward the epithelial surface, enhancing gut colonization. Artemisia argyit essential oil, a traditional herb extract, demonstrates efficacy in treating inflammation-related symptoms and diseases; however, its effects on flagellum assembly and expression mechanisms in anti-Salmonella activity remain inadequately explored. This study aimed to elucidate the mechanism by which Artemisia argyit essential oil addresses Salmonella infections. Network pharmacological analysis revealed that Traditional Chinese Medicine (TCM) Artemisia argyit exhibited anti-Salmonella infection potential and inhibited flagellum-dependent motility. The application of Artemisia argyit essential oil induced notable motility defects through the downregulation of flagellar and fimbriae expression. Moreover, it significantly reduced Salmonella-infected cell damage by interfering with flagellum-mediated Salmonella colonization. In vivo studies demonstrated that Artemisia argyit essential oil administration effectively alleviated Salmonella infection symptoms by reducing bacterial loads, inhibiting interleukin-1 beta (IL-1β), IL-6, and tumor necrosis factor-alpha (TNF-α) production, and diminishing pathological injury. Gas chromatography-mass spectrometry (GC-MS) analysis identified forty-three compounds in Artemisia argyit essential oil, with their corresponding targets and active ingredients predicted. Investigation of an in vivo model of Salmonella infection using the active ingredient demonstrated that alpha-cedrene ameliorated Salmonella infection. These findings suggest the potential application of Artemisia argyit essential oil in controlling Salmonella, the predominant food-borne pathogen.
Artemisia/chemistry* ; Oils, Volatile/chemistry* ; Animals ; Flagella/drug effects* ; Salmonella Infections/microbiology* ; Humans ; Mice ; Anti-Bacterial Agents/pharmacology* ; Salmonella/pathogenicity*

Objective To investigate the correlation between the expression of human leukocyte antigen class I(HLA-I)and programmed cell death ligand 1(PD-L1)with clinicopathological features and cellular immune infiltration.Methods A total of 150 patients with bladder cancer diagnosed and treated in Anhui Provincial Hospital from May 2020 to April 2023 were retrospectively selected as the study objects.The positive expression rates and positive scores of HLA-I and PD-L1 were compared between cancerous tissues and adjacent tissues.The positive scores of HLA-I and PD-L1 in cancer tissues of patients with different clinical characteristics were compared,and the correlation between HLA-I,PD-L1 and clinical characteristics of patients with bladder cancer was analyzed by Kendall's tau-b method.Logistic regression model was used to establish the combined model parameters of HLA-I and PD-L1 positive scores,and receiver operating characteristic(ROC)curve was drawn to analyze the HLA-I and PD-L1 positive scores and the area under the curve(AUC),sensitivity and specificity of the combined diagnosis of bladder cancer.Results The positive expression rate of HLA-I in cancer tissues was lower than that in paracancer tissues[38.67%(58/150)vs 81.33%(122/150)],while the positive expression rate of PD-L1 was higher than that in paracancer tissues[57.33%(86/150)vs 14.00%(21/150)],and the differences were statistically siginficant(χ2=56.889,61.377,all P<0.05).The HLA-I positive score of cancer tissues was lower than that of paracancer tissues[2.00(1.00,3.00)vs 3.00(3.00,5.00)],while the PD-L1 positive score was higher than that of paracancer tissues[3.00(2.00,5.00)vs 2.00(1.00,2.00)],and the fifferences were statistically significant(Z=-8.409,-6.346,all P<0.05).There was no significant difference in HLA-I and PD-L1 positive scores among different sex,age and tumor diameter(ZHLA-1=-1.834,-0.622,-0.543;ZPD-L1=0.811,0.812,0.919,all P＞0.05).The difference of HLA-I and PD-L1 positive scores among different pathological stages,lymph node metastasis,differentiation degree,CD4+,CD8+and CD68+were statistically significant(ZHLA-1=-7.034～3.814;ZPD-L1=-4.479～3.257,all P＜0.05).Kendall's tau-b correlation analysis showed that HLA-I was negatively correlated with pathological stage,lymph node metastasis,degree of differentiation,and positively correlated with negative infiltration of CD4+,CD8+and CD68+(r=-0.528～-0.286,all P<0.05).PD-L1 was positively correlated with pathological stage,lymph node metastasis,degree of differentiation and negatively correlated with negative infiltration of CD4+,CD8+and CD68+(r=-0.243～0.334,all P<0.05).ROC curve analysis showed that the positive scores of HLA-I and PD-L1 and the AUC values of the combined diagnosis of bladder cancer were 0.773,0.702 and 0.856,respectively.Sensitivity was 61.30%,57.30%and 82.00%.The specificity was 81.30%,86.00%and 73.30%.Conclusion The expression of HLA-I and PD-L1 is abnormal in patients with bladder cancer,and their expression is affected by the positive infiltration of immune cells.Observing the positive expression of HLA-I and PD-L1 is beneficial to provide guidance for clinical diagnosis and treatment.

Objective To investigate the correlation between the expression of human leukocyte antigen class I(HLA-I)and programmed cell death ligand 1(PD-L1)with clinicopathological features and cellular immune infiltration.Methods A total of 150 patients with bladder cancer diagnosed and treated in Anhui Provincial Hospital from May 2020 to April 2023 were retrospectively selected as the study objects.The positive expression rates and positive scores of HLA-I and PD-L1 were compared between cancerous tissues and adjacent tissues.The positive scores of HLA-I and PD-L1 in cancer tissues of patients with different clinical characteristics were compared,and the correlation between HLA-I,PD-L1 and clinical characteristics of patients with bladder cancer was analyzed by Kendall's tau-b method.Logistic regression model was used to establish the combined model parameters of HLA-I and PD-L1 positive scores,and receiver operating characteristic(ROC)curve was drawn to analyze the HLA-I and PD-L1 positive scores and the area under the curve(AUC),sensitivity and specificity of the combined diagnosis of bladder cancer.Results The positive expression rate of HLA-I in cancer tissues was lower than that in paracancer tissues[38.67%(58/150)vs 81.33%(122/150)],while the positive expression rate of PD-L1 was higher than that in paracancer tissues[57.33%(86/150)vs 14.00%(21/150)],and the differences were statistically siginficant(χ2=56.889,61.377,all P<0.05).The HLA-I positive score of cancer tissues was lower than that of paracancer tissues[2.00(1.00,3.00)vs 3.00(3.00,5.00)],while the PD-L1 positive score was higher than that of paracancer tissues[3.00(2.00,5.00)vs 2.00(1.00,2.00)],and the fifferences were statistically significant(Z=-8.409,-6.346,all P<0.05).There was no significant difference in HLA-I and PD-L1 positive scores among different sex,age and tumor diameter(ZHLA-1=-1.834,-0.622,-0.543;ZPD-L1=0.811,0.812,0.919,all P＞0.05).The difference of HLA-I and PD-L1 positive scores among different pathological stages,lymph node metastasis,differentiation degree,CD4+,CD8+and CD68+were statistically significant(ZHLA-1=-7.034～3.814;ZPD-L1=-4.479～3.257,all P＜0.05).Kendall's tau-b correlation analysis showed that HLA-I was negatively correlated with pathological stage,lymph node metastasis,degree of differentiation,and positively correlated with negative infiltration of CD4+,CD8+and CD68+(r=-0.528～-0.286,all P<0.05).PD-L1 was positively correlated with pathological stage,lymph node metastasis,degree of differentiation and negatively correlated with negative infiltration of CD4+,CD8+and CD68+(r=-0.243～0.334,all P<0.05).ROC curve analysis showed that the positive scores of HLA-I and PD-L1 and the AUC values of the combined diagnosis of bladder cancer were 0.773,0.702 and 0.856,respectively.Sensitivity was 61.30%,57.30%and 82.00%.The specificity was 81.30%,86.00%and 73.30%.Conclusion The expression of HLA-I and PD-L1 is abnormal in patients with bladder cancer,and their expression is affected by the positive infiltration of immune cells.Observing the positive expression of HLA-I and PD-L1 is beneficial to provide guidance for clinical diagnosis and treatment.

Objective:To assess the presence of chemotherapy-induced abnormal myocardial perfusion using SPECT myocardial perfusion imaging (MPI) in patients with malignant hematologic diseases before hematopoietic stem cell transplantation (HSCT), and to explore its predictive value for mid-to-long-term mortality risk after transplantation.Methods:From March 2016 to August 2022, 139 patients with malignant hematologic diseases (80 males, 59 females; age (45.7±13.0) years) who underwent resting MPI to assess the presence of chemotherapy-induced abnormal myocardial perfusion before HSCT at the First People′s Hospital of Changzhou were prospectively included. Baseline-data were collected and patients were followed up for mid-to-long-term (≥100d) adverse outcomes after transplantation. Overall survival (OS) of each patient was recorded. The χ2 test and independent-sample t test were used for data analysis. Cox regression analysis was utilized to identify independent risk factors affecting OS. Kaplan-Meier method and log-rank test were used for survival analysis. Results:The median follow-up time of 139 patients was 41.6(19.5, 65.6) months, with all-cause mortality of 28.8%(40/139), and the cardiovascular mortality was 42.5%(17/40). The prior cardiotoxic therapies rate (anthracycline dose ≥250mg/m 2) was higher in the death group compared to that in the survival group (15.0% (6/40) vs 5.1% (5/99); χ2=3.87, P=0.049). Pre-transplant abnormal myocardial perfusion rate was also higher in the death group compared to that in the survival group (55.0%(22/40) vs 22.2%(22/99); χ2=15.19, P<0.001). But pre-transplant left ventricular ejection fraction (LVEF) was lower in the death group compared to that in the survival group ((60.4±5.2)% vs (62.9±3.9)%; t=-3.07, P=0.003). Cox multivariate regression analysis showed that the abnormal myocardial perfusion indicated by MPI before transplantation was an independent risk factor affecting OS after HSCT in patients with malignant hematologic diseases (hazard rate ( HR)=2.70, 95% CI: 1.33-5.46, P=0.006). Kaplan-Meier analysis showed the 1-, 2-, 5-year OS rates of patients with the abnormal myocardial perfusion and the normal myocardial perfusion were 73.5%, 69.1%, 49.2% and 94.6%, 89.9%, 81.6%, respectively, with significant difference ( χ2=17.01, P<0.001). Conclusions:Patients with abnormal myocardial perfusion detected by MPI before HSCT for malignant hematologic diseases have a poorer prognosis, characterized by lower post-transplantation OS rates. The utilization of MPI for assessing abnormal myocardial perfusion before transplantation in patients with malignant hematologic diseases can aid in predicting the mid-to-long-term mortality risk after transplantation.

To investigate the expression of mRNA in esophageal cancer (ESCA) tissues and its potential and diagnostic and prognostic value by high-throughput sequencing data. Using the Cancer Genome Atlas Program (TCGA) database in USA by integrative bioinformatics analysis methods, the gene expression profiles and clinical data of 173 patients with ECSA were collected. The mRNA expression levels in ESCA tissue and para-cancerous tissue samples were analyzed using DESeq2, edgeR and limma to screen the differentially expressed genes (DEGs). DEGs-related protein network diagrams were drawn. GO and KEGG function enrichment analysis were performed and the hub genes were screened and the survival analysis of hub genes was analyzed. Genes related to the prognosis of ESCA were selected and their prognostic value in ESCA was analyzed. Finally, the receiver operating characteristic curve was drawn to evaluate its diagnostic value. The results showed that using TCGA cancer data, a total of 620 up-regulated DEGs and 668 down-regulated DEGs with significant differential expression between ESCA and para-cancerous tissues were screened. DEGs were mainly involved in receptor complexes, ubiquitin ligase complexes, etc., playing GTPase activity, phospholipid binding, and other molecular functions, and participating in the regulation of intracellular substance transport, small molecule metabolism, and other biological processes. Protein functional enrichment analysis showed that these proteins were mainly enriched in the IL-17 signaling pathway, TNF signaling pathway, Toll-like receptor signaling pathway, Epstein-Barr virus infection, neutrophil extracellular trap formation, and other pathways involved in the formation and development process of ESCA. Survival analysis showed that the overall survival rate of ESCA patients with high expression of KIF4A, RAD51AP1, and CDKN3 was significantly shortened, and the difference was statistically significant ( P<0.05). Furthermore, the areas under the curve (AUC) of KIF4A, RAD51AP1, and CDKN3 for diagnosing esophageal cancer were 0.956, 0.951 and 0.979, respectively, with sensitivities and specificities both exceeding 80%. Additionally, ROC results of the combined diagnostic model of these three genes showed an AUC of 0.979, with sensitivities and specificities of 0.914 and 1, respectively. This indicates that KIF4A, RAD51AP1 and CDKN3 have individual or combined auxiliary diagnostic value for ESCA. In conclusion, KIF4A, RAD51AP1 and CDKN3 have high diagnostic efficiency for ESCA, and their increased expression is closely related to the prognosis, suggesting that these three genes could be used as auxiliary diagnostic and prognostic factors for ESCA.

Using big data and artificial intelligence to establish a multi-point monitoring, early warning, and disposal system to achieve early warning and intervention of infectious disease outbreaks is an important means of controlling the spread of the epidemic. Taking Xiaoshan district as an example, this study analyzes the monitoring contents, warning methods, and application effectiveness of the infectious disease monitoring, early warning and disposal system. Based on Xiaoshan′s health big data resources, the system starts with syndrome, disease diagnosis and etiology. Through advanced technologies such as artificial intelligence and block chain, it realizes early identification of infectious disease outbreaks, data fusion, multi-cross collaboration, and closed-loop management. It has improved the sensitivity of clustered outbreaks monitoring and the effectiveness of epidemic disposal and provided a reference for grassroots disease prevention and control departments to establish an infectious disease monitoring and early warning system.

To investigate the expression of mRNA in esophageal cancer (ESCA) tissues and its potential and diagnostic and prognostic value by high-throughput sequencing data. Using the Cancer Genome Atlas Program (TCGA) database in USA by integrative bioinformatics analysis methods, the gene expression profiles and clinical data of 173 patients with ECSA were collected. The mRNA expression levels in ESCA tissue and para-cancerous tissue samples were analyzed using DESeq2, edgeR and limma to screen the differentially expressed genes (DEGs). DEGs-related protein network diagrams were drawn. GO and KEGG function enrichment analysis were performed and the hub genes were screened and the survival analysis of hub genes was analyzed. Genes related to the prognosis of ESCA were selected and their prognostic value in ESCA was analyzed. Finally, the receiver operating characteristic curve was drawn to evaluate its diagnostic value. The results showed that using TCGA cancer data, a total of 620 up-regulated DEGs and 668 down-regulated DEGs with significant differential expression between ESCA and para-cancerous tissues were screened. DEGs were mainly involved in receptor complexes, ubiquitin ligase complexes, etc., playing GTPase activity, phospholipid binding, and other molecular functions, and participating in the regulation of intracellular substance transport, small molecule metabolism, and other biological processes. Protein functional enrichment analysis showed that these proteins were mainly enriched in the IL-17 signaling pathway, TNF signaling pathway, Toll-like receptor signaling pathway, Epstein-Barr virus infection, neutrophil extracellular trap formation, and other pathways involved in the formation and development process of ESCA. Survival analysis showed that the overall survival rate of ESCA patients with high expression of KIF4A, RAD51AP1, and CDKN3 was significantly shortened, and the difference was statistically significant ( P<0.05). Furthermore, the areas under the curve (AUC) of KIF4A, RAD51AP1, and CDKN3 for diagnosing esophageal cancer were 0.956, 0.951 and 0.979, respectively, with sensitivities and specificities both exceeding 80%. Additionally, ROC results of the combined diagnostic model of these three genes showed an AUC of 0.979, with sensitivities and specificities of 0.914 and 1, respectively. This indicates that KIF4A, RAD51AP1 and CDKN3 have individual or combined auxiliary diagnostic value for ESCA. In conclusion, KIF4A, RAD51AP1 and CDKN3 have high diagnostic efficiency for ESCA, and their increased expression is closely related to the prognosis, suggesting that these three genes could be used as auxiliary diagnostic and prognostic factors for ESCA.

Using big data and artificial intelligence to establish a multi-point monitoring, early warning, and disposal system to achieve early warning and intervention of infectious disease outbreaks is an important means of controlling the spread of the epidemic. Taking Xiaoshan district as an example, this study analyzes the monitoring contents, warning methods, and application effectiveness of the infectious disease monitoring, early warning and disposal system. Based on Xiaoshan′s health big data resources, the system starts with syndrome, disease diagnosis and etiology. Through advanced technologies such as artificial intelligence and block chain, it realizes early identification of infectious disease outbreaks, data fusion, multi-cross collaboration, and closed-loop management. It has improved the sensitivity of clustered outbreaks monitoring and the effectiveness of epidemic disposal and provided a reference for grassroots disease prevention and control departments to establish an infectious disease monitoring and early warning system.

Objective:To evaluate early residual myocardial ischemia after successful percutaneous coronary intervention (PCI) in patients with coronary artery disease by using myocardial perfusion imaging (MPI) and investigate independent influencing factors of early residual myocardial ischemia.Methods:From January 2020 to December 2022, 127 patients (107 males, 20 females; age (60.3±9.6) years) with coronary artery disease who underwent PCI complete revascularization at the First People′s Hospital of Changzhou were consecutively enrolled prospectively. All patients underwent rest and stress MPI within 1-3 months after PCI. Reversible myocardial perfusion defect in the blood supply area of the culprit vessels in stress and rest MPI was defined as early residual myocardial ischemia after PCI. Accordingly, the culprit vessels undergoing PCI were divided into residual ischemic group and non-ischemic group. Differences of cardiovascular examination between two groups were compared ( χ2 test), such as proportion of culprit vessels with severe stenosis (≥90%), proportion of bifurcation lesions, and proportion of diffuse coronary disease. Logistic regression analyses were performed to identify influencing factors for early residual myocardial ischemia. Results:Among 148 culprit vessels undergoing PCI in 127 patients, early residual myocardial ischemia was present in 49 vessels (33.1%, 49/148). The proportion of culprit vessels with severe stenosis before PCI in residual ischemia group was higher than that in non-ischemia group (69.4%(34/49) and 49.5%(49/99); χ2=5.27, P=0.022). The proportion of bifurcation lesions in residual ischemic group was also higher than that in non-ischemic group (28.6%(14/49) and 10.1%(10/99); χ2=8.23, P=0.004), with a slightly higher proportion of diffuse coronary disease compared to non-ischemic group (14.3%(7/49) and 4.0%(4/99); χ2=3.62, P=0.057). Multivariate logistic regression analysis showed that bifurcation lesion (odds ratio ( OR)=4.087, 95% CI: 1.615-10.344, P=0.003) and diffuse coronary disease ( OR=4.208, 95% CI: 1.115-15.878, P=0.034) were independent influencing factors for early residual myocardial ischemia. Conclusions:Early residual myocardial ischemia is still present in about 1/3 of the culprit vessels after PCI complete revascularization. Bifurcation lesion and diffuse coronary disease are independent influencing factors for early residual myocardial ischemia in culprit vessels.