ObjectiveTo explore the target of Erzhiwan in reducing myocardial injury in ovariectomized mice through non-targeted myocardial metabolomics combined with experimental verification. MethodsOvariectomized mouse model was selected， 40 female C57BL/6 mice were randomly divided into sham operation group， model group， estrogen group（estradiol valerate， 1.3×10^-4 g·kg^-1）， Erzhiwan low and high dose groups（3.12， 9.36 g·kg^-1）， with 8 mice in each group. Each administration group was given the corresponding dose of Erzhiwan by gavage， and the sham operation group and model group were given equal volume of distilled water by gavage for 12 weeks. Echocardiography was used to detect cardiac function， hematoxylin-eosin（HE） staining was used to observe myocardial morphological changes， and enzyme-linked immunosorbent assay（ELISA） was used to detect the levels of estrogen， N-terminal pro-brain natriuretic peptide（NT-proBNP）， hypersensitive troponin T（hs-TnT）， total cholesterol（TC）， triglyceride（TG）， low density lipoprotein cholesterol（LDL-C）， high density lipoprotein cholesterol（HDL-C）， interleukin（IL）-1β， IL-18 and tumor necrosis factor-α（TNF-α）. The non-targeted metabolomics of mouse myocardium were analyzed by ultra performance liquid chromatography-quadrupole-electrostatic field orbital trap high-resolution mass spectrometry（UPLC-Q-Exactive Orbitrap MS）， and the differential metabolites and corresponding metabolic pathways were obtained. The mRNA expression levels of phosphatidylinositol 3-kinase（PI3K） and protein kinase B（Akt） in mouse myocardial tissues were detected by real-time fluorescence quantitative polymerase chain reaction（Real-time PCR）， and the protein expression levels of PI3K， Akt， phosphorylated（p）-Akt were detected by Western blot. ResultsCompared with the sham operation group， the model group showed abnormal cardiac function， increased myocardial fiber space， cardiomyocyte atrophy， sarcoplasmic aggregation， and occasional dissolution or rupture of muscle fiber， the level of estrogen in the serum was decreased， the levels of NT-proBNP， hs-TnT， IL-1β， IL-18， TNF-α， TG， TC and LDL-C were increased， and the level of HDL-C was decreased（P<0.01）. Compared with the model group， Erzhiwan could increase the level of estrogen， improve the abnormal cardiac function， reduce the pathological injury of myocardial tissue， decrease the levels of myocardial injury markers（NT-proBNP， hs-TnT） and inflammatory factors（IL-1β， IL-18， TNF-α）， decrease the levels of TG， TC， LDL-C， and increased the level of HDL-C（P<0.01）. The results of non-targeted myocardial metabolomics showed that 31 of the 162 differential metabolites between the model group and sham operation group were significantly adjusted after administration of Erzhiwan， which were mainly glycerol phospholipid metabolites. Pathway enrichment results showed that Erzhiwan mainly affected glycerophospholipid metabolic pathway， PI3K-Akt pathway， cyclic guanosine monophosphate（cGMP）-protein kinase G（PKG） pathway and other metabolic pathways. Compared with the sham operation group， the levels of phosphatidylcholine（PC， 11 types） and phosphatidylethanolamine（PE， 5 types） in mouse myocardial tissue of the model group were increased（P<0.05， P<0.01）， and the mRNA and protein expressions of PI3K and p-Akt were decreased（P<0.05， P<0.01）. Compared with the model group， the levels of PC（11 types） and PE（5 types） were decreased（P<0.05， P<0.01） in myocardial tissue of Erzhiwan group， the mRNA and protein expressions of PI3K and p-Akt were elevated（P<0.01）. ConclusionErzhiwan can alleviate the pathological injury of myocardium in ovariectomized mice， improve the abnormal cardiac function， improve lipid metabolism disorder， and reduce the levels of myocardial injury markers and inflammatory factors， which involves a number of signaling and metabolic pathways in the heart， among which glycerophospholipid metabolism pathway and PI3K/Akt pathway may have key roles.

Real-time, noninvasive programmed death-ligand 1 (PD-L1) testing using molecular imaging has enhanced our understanding of the immune environments of neoplasms and has served as a guide for immunotherapy. However, the utilization of radiotracers in the imaging of human brain tumors using positron emission tomography/computed tomography (PET/CT) remains limited. This investigation involved the synthesis of [¹⁸F]AlF-NOTA-PCP2, which is a novel peptide-based radiolabeled tracer that targets PD-L1, and evaluated its imaging capabilities in orthotopic glioblastoma (GBM) models. Using this tracer, we could noninvasively monitor radiation-induced PD-L1 changes in GBM. [¹⁸F]AlF-NOTA-PCP2 exhibited high radiochemical purity (>95%) and stability up to 4 h after synthesis. It demonstrated specific, high-affinity binding to PD-L1 in vitro and in vivo, with a dissociation constant of 0.24 nM. PET/CT imaging, integrated with contrast-enhanced magnetic resonance imaging, revealed significant accumulation of [¹⁸F]AlF-NOTA-PCP2 in orthotopic tumors, correlating with blood-brain barrier disruption. After radiotherapy (15 Gy), [¹⁸F]AlF-NOTA-PCP2 uptake in tumors increased from 9.51% ± 0.73% to 12.04% ± 1.43%, indicating enhanced PD-L1 expression consistent with immunohistochemistry findings. Fractionated radiation (5 Gy × 3) further amplified PD-L1 upregulation (13.9% ± 1.54% ID/cc) compared with a single dose (11.48% ± 1.05% ID/cc). Taken together, [¹⁸F]AlF-NOTA-PCP2 may be a valuable tool for noninvasively monitoring PD-L1 expression in brain tumors after radiotherapy.

Occupational pneumoconiosis remains the most common occupational disease in China, with occupational mineral dust exposure being its primary causative factor. Although national standards for online monitoring and early warning systems of coal mine dust concentrations have been established, national occupational health standards for rapid and online monitoring of dust concentration and particle size distribution in other industries are still limited. Among dust concentration sensor technologies, the light scattering method is the preferred choice for online dust monitoring owing to its wide measurement range and low cost. The beta-ray absorption method is mature but highly sensitive to humidity. The electrostatic induction method offers high sensitivity, simple structure, and low maintenance costs but exhibits high errors in low-concentration dust monitoring. The tapered element oscillating microbalance method is highly sensitive but costly. Multi-sensor data fusion technology can improve monitoring reliability, however, mature domestic products are not yet available. For monitoring dust particle size distribution, sieving and sedimentation methods are cumbersome. The aerodynamic method shows broad prospects in the online monitoring of respirable dust but has obvious measurement errors for larger dust particles. The use of optical measurement method is limited by dust morphology and is not suitable for monitoring coal dust particle size distribution. The electrical mobility method is primarily applicable to submicron dust. Future research should focus on promoting the application of monitoring technology for respirable dust particle size distribution in online monitoring of industrial dust. By integrating Internet of Things, data mining, and artificial intelligence technologies, along with multi-sensor data fusion and numerical simulation, dust concentration prediction models can be established to achieve accurate dust concentration monitoring and early warning of exceedances. The advancements of technologies will provide scientific support for the assessment of industrial dust hazards and the prevention and control of occupational pneumoconiosis.

Objective To evaluate the efficacy and safety of modified pelvic floor reconstruction in non-nerve-sparing robot-assisted radical prostatectomy (NNS RARP) for improving postoperative urinary control. Methods A retrospective analysis was conducted on the clinical data of 79 prostate cancer patients who underwent NNS RARP at Tangdu Hospital during Jan.2020 and Dec.2023, including 29 in the reconstruction group, and 50 in the non-reconstruction group. The baseline characteristics including age, body mass index, prostate-specific antigen (PSA) level, clinical stage, prostate volume, and biopsy Gleason score, and perioperative indexes including operation time, intraoperative blood loss, catheter indwelling time, complication rate, and positive rate of surgical margins were compared between the two groups. Additionally, urinary continence function was assessed before operation and 1,3,6, and 12 months after operation using the international consultation on incontinence questionnaire-short form (ICIQ-SF) and the incontinence quality of life questionnaire score (I-QoL). Results No statistically significant differences were observed in the baseline characteristics between the two groups (P>0.05). The operation time was significantly longer in the reconstruction group than in the non-reconstruction group [ (110.24±15.08) min vs. (101.80±9.89) min, P=0.010]. There were no significant differences in intraoperative blood loss, catheter indwelling time, complication rate, and positive rate of surgical margins between the two groups (P>0.05). The reconstruction group demonstrated significantly lower ICIQ-SF scores at 1 month [ (10.17±2.16) vs. (11.56±1.66), P=0.002],3 months [ (7.62±1.29) vs. (9.52±1.80), P<0.001], and 6 months postoperatively [ (4.93±1.22) vs. (6.18± 1.67), P=0.001]compared to the non-reconstruction group (adjusted P<0.0125). Conversely, the I-QoL scores were significantly higher in the reconstruction group at 1 month [ (73.32±10.30) vs. (63.88±9.55), P<0.001]and 3 months postoperatively [ (78.91±4.82) vs. (75.66±5.17), P=0.007] (adjusted P<0.0125). However, no significant differences were found in ICIQ-SF or I-QoL scores between the two groups preoperatively and 12 months postoperatively (adjusted P>0.0125). Conclusion The application of modified pelvic floor reconstruction technique in NNS RARP is safe and feasible. Although it slightly prolongs the operation time, it does not increase surgical risks; instead, it effectively promotes early recovery of postoperative urinary continence, thereby significantly enhancing patients'quality of life.

In the field of healthcare service, it is crucial to optimize medical innovation services by combining the preferences of health service providers and demanders (i.e., stakeholders). The best-worst scaling (BWS) method is a recently developed stated preference method for assessing preferences with distinctive advantages. Nevertheless, there is a lack of a comprehensive introduction to stakeholder preference assessment using BWS, thus constraining its applications and promotion. This paper introduces the process of using BWS to assess service providers' preferences for the Shared Medical Appointment for diabetes (SMART), an integrated healthcare service of medicine and health management, in the hope of providing reference for researchers for promoting the use of BWS in implementation research.

Objective Comparative analysis of rule categories,key audit behaviors,and the degree of correspon-dence between rules and behaviors through intelligent auditing of key audit violations and monitoring of the rule base.To provide reference for the improvement of intelligent audit and monitoring rule library for key audit violations under DRG payment in medical insurance fund.Methods Searching and collecting policy documents such as DRG payment management methods issued by local health insurance bureaus from May 20,2019 to December 31,2023 and the literature related to DRG payment smart audit monitoring rules in the database,and targeting the rules therein that are related to the focus on auditing irregularities under the DRG payment.Literature analysis and comparative analysis were used to summarize and analyze the rules related to key audit violations under DRG payment.Results The intelli-gent audit rules for key audit violations under DRG payment can be divided into two major categories:logical judg-ment and parameter index,and the degree of correspondence between audit rules and key audit behaviors varies.Conclusion(1)Unify the key audit rules nationwide to ensure the universality and comprehensiveness of the rules;(2)Deepen the current situation of regional illegal activities and strengthen local characteristics;(3)Improve the quality of logical judgment rules and increase the quantity of parameter indicator rules;(4)Strengthen scientific re-search on new types of violations,and establish more targeted regulatory rules.

Objective Comparative analysis of rule categories,key audit behaviors,and the degree of correspon-dence between rules and behaviors through intelligent auditing of key audit violations and monitoring of the rule base.To provide reference for the improvement of intelligent audit and monitoring rule library for key audit violations under DRG payment in medical insurance fund.Methods Searching and collecting policy documents such as DRG payment management methods issued by local health insurance bureaus from May 20,2019 to December 31,2023 and the literature related to DRG payment smart audit monitoring rules in the database,and targeting the rules therein that are related to the focus on auditing irregularities under the DRG payment.Literature analysis and comparative analysis were used to summarize and analyze the rules related to key audit violations under DRG payment.Results The intelli-gent audit rules for key audit violations under DRG payment can be divided into two major categories:logical judg-ment and parameter index,and the degree of correspondence between audit rules and key audit behaviors varies.Conclusion(1)Unify the key audit rules nationwide to ensure the universality and comprehensiveness of the rules;(2)Deepen the current situation of regional illegal activities and strengthen local characteristics;(3)Improve the quality of logical judgment rules and increase the quantity of parameter indicator rules;(4)Strengthen scientific re-search on new types of violations,and establish more targeted regulatory rules.

Objective Based on a novel type of cell death induced by disulfide stress,known as disulfidptosis,this study explores the role of long non-coding RNA(LncRNA)in gastric cancer and establishes a prognosis model re-lated to disulfidptosis,providing a new method for assessing the prognosis of gastric cancer treatment.Methods Transcriptomic data from gastric cancer and normal tissue samples were obtained from the public database TCGA,and disulfidptosis-related LncRNAs were selected through Pearson analysis and LASSO-Cox regression analysis.A relevant prognostic model for gastric cancer was constructed based on the above LncRNAs and validated by function-al enrichment analysis,tumour microenvironment and immune cell infiltration analysis,drug sensitivity analysis and quantitative reverse transcription PCR(RT-qPCR).Results In this study,400 disulfide death-associated LncR-NAs were identified and five of them were screened to construct a prognostic model for assessing the prognosis of gastric cancer patients.The models showed in validation that the survival of the high-risk score group was shorter than that of the low-risk score group(P＜0.05).In addition,the predictive ability of the prognostic model(AUC=0.725)was better than that based only on basic characteristics such as age and gender.The expression levels of disulfide death-associated LncRNAs differed between normal and gastric cancer tissues(P＜0.001).Conclusion The disulfidptosis-related LncRNA prognosis model developed in this study can effectively assess the prognosis of gastric cancer patients and the tumor microenvironment,providing potential targets and a theoretical basis for new immunotherapeutic strategies for gastric cancer.

Objective Comparative analysis of rule categories,key audit behaviors,and the degree of correspon-dence between rules and behaviors through intelligent auditing of key audit violations and monitoring of the rule base.To provide reference for the improvement of intelligent audit and monitoring rule library for key audit violations under DRG payment in medical insurance fund.Methods Searching and collecting policy documents such as DRG payment management methods issued by local health insurance bureaus from May 20,2019 to December 31,2023 and the literature related to DRG payment smart audit monitoring rules in the database,and targeting the rules therein that are related to the focus on auditing irregularities under the DRG payment.Literature analysis and comparative analysis were used to summarize and analyze the rules related to key audit violations under DRG payment.Results The intelli-gent audit rules for key audit violations under DRG payment can be divided into two major categories:logical judg-ment and parameter index,and the degree of correspondence between audit rules and key audit behaviors varies.Conclusion(1)Unify the key audit rules nationwide to ensure the universality and comprehensiveness of the rules;(2)Deepen the current situation of regional illegal activities and strengthen local characteristics;(3)Improve the quality of logical judgment rules and increase the quantity of parameter indicator rules;(4)Strengthen scientific re-search on new types of violations,and establish more targeted regulatory rules.

Objective Comparative analysis of rule categories,key audit behaviors,and the degree of correspon-dence between rules and behaviors through intelligent auditing of key audit violations and monitoring of the rule base.To provide reference for the improvement of intelligent audit and monitoring rule library for key audit violations under DRG payment in medical insurance fund.Methods Searching and collecting policy documents such as DRG payment management methods issued by local health insurance bureaus from May 20,2019 to December 31,2023 and the literature related to DRG payment smart audit monitoring rules in the database,and targeting the rules therein that are related to the focus on auditing irregularities under the DRG payment.Literature analysis and comparative analysis were used to summarize and analyze the rules related to key audit violations under DRG payment.Results The intelli-gent audit rules for key audit violations under DRG payment can be divided into two major categories:logical judg-ment and parameter index,and the degree of correspondence between audit rules and key audit behaviors varies.Conclusion(1)Unify the key audit rules nationwide to ensure the universality and comprehensiveness of the rules;(2)Deepen the current situation of regional illegal activities and strengthen local characteristics;(3)Improve the quality of logical judgment rules and increase the quantity of parameter indicator rules;(4)Strengthen scientific re-search on new types of violations,and establish more targeted regulatory rules.