Purpose: The genomic characteristics of uterine sarcomas have not been fully elucidated. This study aimed to explore the genomic landscape of the uterine sarcomas (USs). Materials and Methods: Comprehensive genomic analysis through RNA-sequencing was conducted. Gene fusion, differentially expressed genes (DEGs), signaling pathway enrichment, immune cell infiltration, and prognosis were analyzed. A deep learning model was constructed to predict the survival of US patients. Results: A total of 71 US samples were examined, including 47 endometrial stromal sarcomas (ESS), 18 uterine leiomyosarcomas (uLMS), three adenosarcomas, two carcinosarcomas, and one uterine tumor resembling an ovarian sex-cord tumor. ESS (including high-grade ESS [HGESS] and low-grade ESS [LGESS]) and uLMS showed distinct gene fusion signatures; a novel gene fusion site, MRPS18A–PDC-AS1 could be a potential diagnostic marker for the pathology differential diagnosis of uLMS and ESS; 797 and 477 uterine sarcoma DEGs (uDEGs) were identified in the ESS vs. uLMS and HGESS vs. LGESS groups, respectively. The uDEGs were enriched in multiple pathways. Fifteen genes including LAMB4 were confirmed with prognostic value in USs; immune infiltration analysis revealed the prognositic value of myeloid dendritic cells, plasmacytoid dendritic cells, natural killer cells, macrophage M1, monocytes and hematopoietic stem cells in USs; the deep learning model named Max-Mean Non-Local multi-instance learning (MMN-MIL) showed satisfactory performance in predicting the survival of US patients, with the area under the receiver operating curve curve reached 0.909 and accuracy achieved 0.804. Conclusion USs harbored distinct gene fusion characteristics and gene expression features between HGESS, LGESS, and uLMS. The MMN-MIL model could effectively predict the survival of US patients.

Objective To explore function-structure covariant patterns in Alzheimer's disease(AD)and mild cognitive impairment(MCI),and to investigate their associations with cognitive function and activities of daily living.Methods three-way parallel group independent component analysis(three-way pGICA),was used to identify the covariant patterns of resting-state functional MRI temporal data,gray matter density maps,and fractional anisotropy(FA)maps,and the differences between different groups were compared.Furthermore,the associations of covariant patterns with the Montreal Cognitive Assessment-Basic(MoCA_B)Scale scores and Activities of Daily Living Scale scores were analyzed.Results The function-structure covariant patterns in AD and MCI were characterized by the enhanced negative functional connectivity between the left posterior salience network and the right default mode network,the decreased gray matter density in the bilateral dorsolateral prefrontal cortex,and the reduced FA values in the left superior corona radiata(correlations:P<0.001,FDR corrected).Compared with HC group,AD group showed significant abnormalities in all identified covariant patterns(P<0.01,FDR corrected),but MCI group only exhibited a significant decrease in gray matter density in the bilateral dorsolateral prefrontal cortex(P<0.05,FDR corrected).Additionally,AD group had significantly lower FA value in the left superior corona radiata than MCI group(P<0.05,FDR corrected).The loadings reflecting the degree of covariation were significantly correlated with the Activities of Daily Living Scale scores(P<0.05,FDR corrected)but not with MoCA_B Scale scores.Conclusion The function-structure covariant patterns in AD and MCI are consistent with the declines in activities of daily living.The multimodal fusion analysis(three-way pGICA)provides a novel approach to understand the brain damage mechanisms underlying the covariant evolution of MCI and AD.

Objective To investigate the relationship between serum melatonin and prostaglandin E2(PGE2)levels with disease severity and prognosis of necrotizing enterocolitis(NEC)in premature infants.Methods A total of 215 premature infants diagnosed with NEC(NEC group)admitted to our hospital between January 2022 and February 2025 and 80 healthy premature infants(control group)were prospectively enrolled.NEC cases were stratified by Bell's staging divided into mild(n=67),moderate(n=90),and severe(n=58)subgroups.Serum levels of melatonin and PGE2 were measured by enzyme-linked immunosorbent assay.Spearman correlation analysis was used to assess the relationship between serum melatonin,PGE2 levels and Bell staging.According to the 28-day prognosis assessment,NEC infants were divided into a poor prognosis group and a good prognosis group.Multivariate logistic regression and ROC analysis were used to explore the association and predictive value of serum melatonin and PGE2 levels in NEC prognosis,and decision curve analysis(DCA)was used to evaluate clinical net benefit.Results Compared with the control group,the NEC group had significantly lower serum melatonin levels and higher PGE2 levels(P<0.05).Among the NEC subgroups,serum melatonin levels decreased and PGE2 levels increased progressively from mild to severe NEC(P<0.05).Serum melatonin was negatively correlated with Bell stage,while PGE2 was positively correlated(P<0.05).The 28-day poor prognosis rate in NEC infants was 18.60%(40/215).Severe disease and elevated PGE2 were independent risk factors for poor prognosis,while higher birth weight and increased melatonin were independent protective factors(P<0.05).The area under the ROC curve(AUC)for predicting prognosis using melatonin,PGE2,and their combination was 0.797,0.780,and 0.880,respectively,with the combined prediction performing significantly better than either biomarker alone(P<0.05).DCA indicated that when the threshold probability exceeded 0.1,the net benefit of the combined model was greater than that of either marker alone.Conclusion In premature infants with NEC,reduced serum melatonin and elevated PGE2 levels are associated with increased disease severity and poor prognosis.The combination of serum melatonin and PGE2 levels provides high predictive value for prognosis.

Objective:To investigate the relationship among social support, anxiety and cancer pain behavior in patients undergoing radiotherapy for advanced colorectal cancer, and to explore the mediating role of social support between anxiety and cancer pain behavior.Methods:A sample of 100 patients with advanced colorectal cancer admitted to the Oncology Radiotherapy Department of the Affiliated Hospital of Jiangnan University was recruited from March 2021 to March 2023. The hospital anxiety and depression scale (HADS), perceived social support scale (PSSS) and visual analogue scale (VAS) were utilized to assess patients' anxiety levels, individually perceived levels of social support and cancer pain intensity.The SPSS 25.0 software and AMOS 26.0 software were used for data analysis.Pearson correlation analysis was conducted to examine the relationships between these variables, and the Bootstrap method was employed to investigate the mediating role of social support in the relationship between anxiety and cancer pain behavior.Results:The patients' HADS anxiety score was (10.63±2.56), VAS pain score was (5.31±1.92), and PSSS social support score was (56.19±6.28). Pearson correlation analysis showed that anxiety was positively correlated with cancer pain behavior ( r=0.785, P<0.001), and social support was significantly correlated with both anxiety ( r=0.671) and cancer pain behavior ( r=0.672) (both P<0.001). Structural equation modeling indicated that social support partially mediated the relationship between anxiety and cancer pain behavior, with an indirect effect value of 0.177 (95% CI=0.033-0.287), accounting for 22.55%(0.177/0.785) of the total effect and the direct effect value was 0.608 (95% CI=0.287-0.642), accounting for 77.45%(0.608/0.785) of the total effect. Conclusion:Social support plays a mediating role in the effect of anxiety on cancer pain behavior in patients with advanced colorectal cancer undergoing radiotherapy. Enhancing social support can effectively alleviate anxiety in patients with advanced colorectal cancer undergoing radiotherapy, thereby alleviating cancer pain behavior, providing a theoretical basis for clinical comprehensive interventions.

Objective:To analyze the changes of chronic disease treatment cost in Shanxi,to clarify priorities in chronic disease prevention and control,and provide recommendations for optimizing chronic disease prevention policies.Methods:"SHA 2011"accounting framework was used to measure the change of chronic disease treatment costs.Results:The proportion of chronic diseases in treatment cost remained at about 70%.The proportion of chronic disease treatment cost in general hospital is the highest.The proportion of chronic disease treatment expenses of 45-59 years old is second only to that of 60-74 years old.The proportion of treatment expenses for circulatory diseases should be kept above 25%;the main sources of financing is social medical insurance.Conclusion:The avoidable hospitalization cost of chronic diseases is high.The cost of chronic disease treatment is becoming younger.The health financing structure of chronic diseases tends to be reasonable.In order to further improve the prevention and control effect of chronic diseases and the efficiency of the use of chronic disease resources in Shanxi,it is necessary to improve the effectiveness of key policies,reduce the incidence of chronic diseases;improve the medical insurance reimbursement policy,optimize the use of inpatient services;strengthen the urban medical alliances,guide key groups to seek medical treatment reasonably;optimize the financial compensation and medical insurance payment policy,and improve the multi-channel financing mechanism

Objective To explore function-structure covariant patterns in Alzheimer's disease(AD)and mild cognitive impairment(MCI),and to investigate their associations with cognitive function and activities of daily living.Methods three-way parallel group independent component analysis(three-way pGICA),was used to identify the covariant patterns of resting-state functional MRI temporal data,gray matter density maps,and fractional anisotropy(FA)maps,and the differences between different groups were compared.Furthermore,the associations of covariant patterns with the Montreal Cognitive Assessment-Basic(MoCA_B)Scale scores and Activities of Daily Living Scale scores were analyzed.Results The function-structure covariant patterns in AD and MCI were characterized by the enhanced negative functional connectivity between the left posterior salience network and the right default mode network,the decreased gray matter density in the bilateral dorsolateral prefrontal cortex,and the reduced FA values in the left superior corona radiata(correlations:P<0.001,FDR corrected).Compared with HC group,AD group showed significant abnormalities in all identified covariant patterns(P<0.01,FDR corrected),but MCI group only exhibited a significant decrease in gray matter density in the bilateral dorsolateral prefrontal cortex(P<0.05,FDR corrected).Additionally,AD group had significantly lower FA value in the left superior corona radiata than MCI group(P<0.05,FDR corrected).The loadings reflecting the degree of covariation were significantly correlated with the Activities of Daily Living Scale scores(P<0.05,FDR corrected)but not with MoCA_B Scale scores.Conclusion The function-structure covariant patterns in AD and MCI are consistent with the declines in activities of daily living.The multimodal fusion analysis(three-way pGICA)provides a novel approach to understand the brain damage mechanisms underlying the covariant evolution of MCI and AD.

Objective:To evaluate the relationship between intraoperative hypothermia and early postoperative pulmonary complications (PPCs) in pediatric patients undergoing living donor liver transplantation (LDLT).Methods:This was a retrospective study. Medical records of pediatric patients of either sex, aged 4-24 months, diagnosed with congenital biliary atresia who underwent LDLT from January 2021 to March 2023 were collected from the electronic medical record system of Tianjin First Central Hospital. The collected data included general characteristics, intraoperative conditions, and PPCs such as postoperative pediatric acute respiratory distress syndrome, pneumonia, pleural effusion, atelectasis, and pulmonary edema within 1 week after operation. Additional indicators comprised the difference in systemic immune-inflammation index (SII) between 1 day before surgery and at the end of surgery (ΔSII), concentration of hypersensitive C-reactive protein (hs-CRP) at the end of surgery, postoperative mechanical ventilation time, and duration of intensive care unit stay. Pediatric patients were divided into PPCs group and non-PPCs group based on the development of PPCs. Logistic regression analysis was used to determine the relationship between factors associated with intraoperative hypothermia and PPCs.Results:A total of 226 pediatric patients were included in the study, with 126 cases in PPCs group and 100 cases in non-PPCs group. The results of logistic regression analysis showed that pre-reperfusion hypothermia, duration of hypothermia, ΔSII and concentrations of hs-CRP at the end of operation were independent risk factors for the occurrence of PPCs ( P<0.05). The area under the receiver operating characteristic curve of pre-reperfusion hypothermia and duration of hypothermia in predicting PPCs was 0.594 (95% confidence interval [ CI] 0.521-0.668, P=0.015) and 0.702 (95% CI 0.634-0.770, P<0.001), respectively. The area under the receiver operating characteristic curve of combination of factors associated with hypothermia (pre-reperfusion hypothermia, duration of hypothermia) and inflammatory indicators (ΔSII, plasma hs-CRP concentration at the end of surgery) in predicting PPCs was 0.977 (95% CI 0.959-0.995, P<0.001). Conclusions:Pre-reperfusion hypothermia and duration of hypothermia are independent risk factors for early PPCs in infants, and their predictive value for the development of PPCs is higher when combined with ΔSII and plasma hs-CRP concentration in pediatric patients undergoing LDLT.

Objective To investigate the relationship between serum melatonin and prostaglandin E2(PGE2)levels with disease severity and prognosis of necrotizing enterocolitis(NEC)in premature infants.Methods A total of 215 premature infants diagnosed with NEC(NEC group)admitted to our hospital between January 2022 and February 2025 and 80 healthy premature infants(control group)were prospectively enrolled.NEC cases were stratified by Bell's staging divided into mild(n=67),moderate(n=90),and severe(n=58)subgroups.Serum levels of melatonin and PGE2 were measured by enzyme-linked immunosorbent assay.Spearman correlation analysis was used to assess the relationship between serum melatonin,PGE2 levels and Bell staging.According to the 28-day prognosis assessment,NEC infants were divided into a poor prognosis group and a good prognosis group.Multivariate logistic regression and ROC analysis were used to explore the association and predictive value of serum melatonin and PGE2 levels in NEC prognosis,and decision curve analysis(DCA)was used to evaluate clinical net benefit.Results Compared with the control group,the NEC group had significantly lower serum melatonin levels and higher PGE2 levels(P<0.05).Among the NEC subgroups,serum melatonin levels decreased and PGE2 levels increased progressively from mild to severe NEC(P<0.05).Serum melatonin was negatively correlated with Bell stage,while PGE2 was positively correlated(P<0.05).The 28-day poor prognosis rate in NEC infants was 18.60%(40/215).Severe disease and elevated PGE2 were independent risk factors for poor prognosis,while higher birth weight and increased melatonin were independent protective factors(P<0.05).The area under the ROC curve(AUC)for predicting prognosis using melatonin,PGE2,and their combination was 0.797,0.780,and 0.880,respectively,with the combined prediction performing significantly better than either biomarker alone(P<0.05).DCA indicated that when the threshold probability exceeded 0.1,the net benefit of the combined model was greater than that of either marker alone.Conclusion In premature infants with NEC,reduced serum melatonin and elevated PGE2 levels are associated with increased disease severity and poor prognosis.The combination of serum melatonin and PGE2 levels provides high predictive value for prognosis.

Objective:To establish the quality for Kangjun Xiaoyan preparations.Methods:Rheum officinale Baill,Isatidis indigotica Fort,Miq.Were identified by TLC;microscopic identification method was used to distin-guish Lysimachia christinae Hance and Scutellaria baicalensis Georgi;using maranthoidin B as an indicator compo-nent for the detection of adulteration in Lonicera macranthoides Hand.;the content of chlorogenic acid and baicalin were determined by HPLC.Results:Four types of medicinal herbs in the sample can identify by TLC and negative sample without interference,the examination item for maranthoidin B can accurately determine whether adulterated L.macranthoides is present in the sample;the methodological validation of content determination showed that there was a good linear relationship between chlorogenic acid and baicalin injection mass in the range of 89.8-5 845.4 and 108.2-7 047.0 ng respectively(r=0.999 3 and 0.999 9).The average recoveries were 97.55％and 102.05％with RSDs 1.2％and 1.6％.Conclusion:The established methods were simple,accurate,reliable and reproducible.It can be effectively used for the quality control of Kangjun Xiaoyan preparations.

Objective:To investigate the relationship among social support, anxiety and cancer pain behavior in patients undergoing radiotherapy for advanced colorectal cancer, and to explore the mediating role of social support between anxiety and cancer pain behavior.Methods:A sample of 100 patients with advanced colorectal cancer admitted to the Oncology Radiotherapy Department of the Affiliated Hospital of Jiangnan University was recruited from March 2021 to March 2023. The hospital anxiety and depression scale (HADS), perceived social support scale (PSSS) and visual analogue scale (VAS) were utilized to assess patients' anxiety levels, individually perceived levels of social support and cancer pain intensity.The SPSS 25.0 software and AMOS 26.0 software were used for data analysis.Pearson correlation analysis was conducted to examine the relationships between these variables, and the Bootstrap method was employed to investigate the mediating role of social support in the relationship between anxiety and cancer pain behavior.Results:The patients' HADS anxiety score was (10.63±2.56), VAS pain score was (5.31±1.92), and PSSS social support score was (56.19±6.28). Pearson correlation analysis showed that anxiety was positively correlated with cancer pain behavior ( r=0.785, P<0.001), and social support was significantly correlated with both anxiety ( r=0.671) and cancer pain behavior ( r=0.672) (both P<0.001). Structural equation modeling indicated that social support partially mediated the relationship between anxiety and cancer pain behavior, with an indirect effect value of 0.177 (95% CI=0.033-0.287), accounting for 22.55%(0.177/0.785) of the total effect and the direct effect value was 0.608 (95% CI=0.287-0.642), accounting for 77.45%(0.608/0.785) of the total effect. Conclusion:Social support plays a mediating role in the effect of anxiety on cancer pain behavior in patients with advanced colorectal cancer undergoing radiotherapy. Enhancing social support can effectively alleviate anxiety in patients with advanced colorectal cancer undergoing radiotherapy, thereby alleviating cancer pain behavior, providing a theoretical basis for clinical comprehensive interventions.