ObjectiveTo investigate whether Shenmai injection （SMI） improves cisplatin resistance in non-small cell lung cancer （NSCLC） by modulating lipid metabolism and inducing ferroptosis. MethodsHuman lung adenocarcinoma cisplatin-resistant A549/DDP cells were divided into the following groups： Blank group， cisplatin group （23.3 μmol·L^-1 cisplatin）， SMI group （20 g·L^-1 SMI）， cisplatin combined with SMI group （23.3 μmol·L^-1 cisplatin + 20 g·L^-1 SMI）， cisplatin combined with ferroptosis inhibitor/inducer Ferrostatin-1/Erastin group （23.3 μmol·L^-1 cisplatin + 10 μmol·L^-1 Ferrostatin-1/5 μmol·L^-1 Erastin）， and cisplatin combined with SMI and Ferrostatin-1/Erastin group （23.3 μmol·L^-1 cisplatin + 20 g·L^-1 SMI + 10 μmol·L^-1 Ferrostatin-1/5 μmol·L^-1 Erastin）. Network pharmacology， transcriptomics and metabolomics， Cell Counting Kit-8 （CCK-8） assay， transmission electron microscopy （TEM）， colorimetric assays， and Western blot analysis were employed to evaluate the effects of these treatments on A549/DDP cell viability， lipid droplet formation， lipid metabolite levels， mitochondrial function， lipid peroxidation， glutathione （GSH） content， total and ferrous iron content， and effects on ferroptiosis and autophagy related protein expression levels. ResultsSMI improved cisplatin resistance in NSCLC mainly by targeting lipid metabolism-related pathways in A549/DDP cells， affecting tumor cell lipid metabolism via autophagy， ferroptosis， and glycerophospholipid metabolism pathways. Compared with the cisplatin group， the cisplatin combined with SMI group showed significantly decreased cell viability （P<0.01）， increased lipid droplet accumulation （P<0.01）， and reduced mitochondrial maximal respiration， basal respiration， mitochondrial membrane potential， GSH content， total iron， and ferrous iron （all P<0.01）. Mitochondrial reactive oxygen species （ROS） was significantly elevated（P<0.01）， and lipid peroxidation levels were significantly increased. Protein expression analysis showed significant downregulation of solute carrier family 7 member 11 （SLC7A11） and p62 （P<0.05，P<0.01） and upregulation of ferritin heavy chain （FTH） and microtubule-associated protein 1 light chain 3Ⅱ （LC3Ⅱ） （P<0.05，P<0.01）. Compared with the cisplatin combined with SMI group， addition of Ferrostatin-1 significantly increased cell viability （P<0.05）， decreased mitochondrial ROS levels （P<0.05）， alleviated mitochondrial shrinkage， and reduced lipid peroxidation. Conversely， addition of Erastin further decreased cell viability （P<0.01）. ConclusionSMI improves cisplatin resistance in NSCLC by inducing oxidative stress， which may trigger ferroptosis through upregulation of lipophagy.

Objective To investigate the current distribution of radiotherapy resources in Gansu Province, evaluate the equity of resource allocation, and provide a scientific basis for optimizing regional resource allocation. Methods A questionnaire survey was carried out to assess radiotherapy resources in medical institutions across Gansu Province, China. The equity of radiotherapy resource distribution and associated disparities were assessed using the Gini coefficient, Lorenz curve, and Theil index. Results A total of 23 medical institutions in Gansu Province provided radiotherapy services, comprising 39 radiotherapy devices and 438 professionals, of whom medical physicists accounted for 16.9%. The radiotherapy frequency was 0.47 cases per thousand population. The Gini coefficients for radiotherapy resource distribution ranged from 0.38 to 0.56 by population and from 0.52 to 0.70 by geography. The Theil index for radiotherapy resources ranged from 1.36 to 3.67. Conclusion Radiotherapy resources in Gansu Province were insufficient, and the capacity of radiotherapy service was suboptimal. The equity of radiotherapy resource allocation by geography was worse than that by population. Therefore, it is imperative to address the shortage of radiotherapy resources, strengthen the professional workforce, enhance the capacity radiotherapy service and resource utilization, optimize resource allocation, and promote regional equity in radiotherapy provision in Gansu Province.

BACKGROUND:Spondylolisthesis is a common disease,and there is a lack of effective drugs to treat it.There is still a need to further define the pathogenesis and screen out more suitable therapeutic targets for spondylolisthesis.Mendelian randomization analysis can be used to explore the drugable genes associated with spondylolisthesis and provide valuable guidance for the development of more effective and targeted therapeutic drugs.OBJECTIVE:To explore potential therapeutic targets and effective drugs for spondylolisthesis by means of pharmaceutically available genome-wide Mendelian randomization analysis.METHODS:Using the Finnish database,eQTLGen consortium,drug signature database,drug-gene interaction database,protein-protein interaction database,organic small molecule biological activity database and protein structure database,which contains genome and health information of half a million Finns,data on druggable genes were subjected to two-sample Mendelian randomization analysis and co-localization analysis with data from genome-wide association studies of spondylolisthesis to identify genes highly associated with spondylolisthesis.In addition,GO and KEGG enrichment analysis,protein network construction,drug prediction and molecular docking were performed to provide valuable guidance for the development of more effective and targeted therapeutic agents.RESULTS AND CONCLUSION:In this study,we identified 34 potential drug target genes that were significantly associated with spondylolisthesis,particularly the gene APOBEC3G.This gene showed a significant association with spondylolisthesis outcomes through Mendelian analysis and co-localization analysis,suggesting that APOBEC3G may be a priority therapeutic target.As for other potential mechanisms and drugs,we still need to conduct more in-depth research to determine their roles.This study used a database from a European population,which can be used as a reference for the study of population genetics in China.

BACKGROUND:Spondylolisthesis is a common disease,and there is a lack of effective drugs to treat it.There is still a need to further define the pathogenesis and screen out more suitable therapeutic targets for spondylolisthesis.Mendelian randomization analysis can be used to explore the drugable genes associated with spondylolisthesis and provide valuable guidance for the development of more effective and targeted therapeutic drugs.OBJECTIVE:To explore potential therapeutic targets and effective drugs for spondylolisthesis by means of pharmaceutically available genome-wide Mendelian randomization analysis.METHODS:Using the Finnish database,eQTLGen consortium,drug signature database,drug-gene interaction database,protein-protein interaction database,organic small molecule biological activity database and protein structure database,which contains genome and health information of half a million Finns,data on druggable genes were subjected to two-sample Mendelian randomization analysis and co-localization analysis with data from genome-wide association studies of spondylolisthesis to identify genes highly associated with spondylolisthesis.In addition,GO and KEGG enrichment analysis,protein network construction,drug prediction and molecular docking were performed to provide valuable guidance for the development of more effective and targeted therapeutic agents.RESULTS AND CONCLUSION:In this study,we identified 34 potential drug target genes that were significantly associated with spondylolisthesis,particularly the gene APOBEC3G.This gene showed a significant association with spondylolisthesis outcomes through Mendelian analysis and co-localization analysis,suggesting that APOBEC3G may be a priority therapeutic target.As for other potential mechanisms and drugs,we still need to conduct more in-depth research to determine their roles.This study used a database from a European population,which can be used as a reference for the study of population genetics in China.

Objective To address the current blind spots in quality control and the risk of data distortion in radiological health technical service institutions, overcome the limitations of low efficiency and insufficient anomaly identification in manual verification, establish an automatic anomaly early warning mechanism based on AI algorithms, provide accurate clues for health supervision and law enforcement, and significantly enhance the efficiency of industry supervision. Methods On-site inspection data were collected via photographic imaging. Advanced image processing and object detection algorithms were employed to automatically extract and analyze key information from the images. Through data analysis, the system was used to calculate and assess the inspection results. A dynamic early warning engine was developed to automatically trigger alerts upon detection of deviations from standard thresholds or regulatory violations in radiological health technical services. These alerts were delivered through a regulatory information system. Results Following AI model training, the accuracy of the image processing and object detection algorithms reached 99% and the early warning accuracy reached 93%. Compared with the traditional supervision mode, the efficiency of anomaly detection was improved and the average response time was shortened. Conclusion The full-process supervision information system constructed in this study has realized the triple mechanism of pre-event standardization, in-event monitoring, and post-event traceability for radiological health technical services. In particular, the system has established a four-level quality control chain of “institutional self-inspection, intelligent recheck, expert judgment, and administrative action”, providing a technological innovation path for ensuring the radiation protection and safety of medical staff, patients, and the public.

Chemotherapy is an important treatment for tumors， but most patients experience varying degrees of chemotherapy- induced myelosuppression. Four properties theory of traditional Chinese medicine （TCM） has unique advantages in improving chemotherapy-induced myelosuppression. The monomers from TCM with different properties and flavors， such as cold-natured （e.g. Scutellaria baicalensis， Rhus chinensis）， cool-natured （e.g. Ligustrum lucidum， Ophiopogon japonicus）， warm-natured （e.g. Panax ginseng， Epimedium brevicornu， Curcuma longa， Angelica sinensis）， hot-natured （e.g. Cinnamomum cassia， Aconitum carmichaeli）， and neutral-natured （e. g. donkey-hide gelatin， Lycium barbarum， Rhodiola rosea， fungi）， can exert anti- myelosuppressive effects by reducing damage to hematopoietic stem/progenitor cells， improving the bone marrow hematopoietic microenvironment， inhibiting the oxidative stress response， regulating signaling pathways， so as to ultimately repaire inflammatory damage and improve hematopoietic function， thereby playing an anti-myelosuppressive role.

Objective:To investigate the contents of natural radionuclides in agricultural soils in some of Gansu Hexi area to accumulate the relevant basic data.Methods:A stratified sampling method was used to collect 146 soil samples in the area. ORTEC P-type HPGE gamma spectrometry system was used to measure radionuclides. The measurement data were collated and analyzed.Results:The activity concentrations measured were 232Th 18.94-108.39 Bq/kg, 226Ra 14.37-79.20 Bq/kg and 40K 440.03-1 358.18 Bq/kg, in turn with the mean values of (68.22±16.32), (47.90±11.12) and (763.90±133.93) Bq/kg, respectively. The difference in activity concentrations of 232Th, 226Ra and 40K in agricultural soils in different areas was statistically significant( H=50.87, 45.14, 40.28, P<0.05). Conclusions:The study on the activity concentrations of natural radionuclides in agricultural soils provides basic information for the transfer of radionuclides to crops, which needs further investigation, monitoring and analysis.

Genomic imprinting refers to the phenomenon of differential expression of two alleles due to their different parental origins. Genes that produce genomic imprinting are usually called imprinted genes. The genetic effect caused by the presence of imprinted genes is called parent-of-origin effect. Parent-of-origin effect and genomic imprinting play important roles in the pathophysiological mechanism and occurrence and development of cardio-metabolic diseases. In-depth exploration of the law and potential roles of imprinted genes and parent-of-origin effects will help to better understand the mechanism of cardio-metabolic diseases, and also provide important theoretical basis for the precise treatment of diseases related to imprinted genes.

Objective:To establish and validate the diagnostic model of acute pulmonary embolism (APE) based on clinical and laboratory variables.Methods:This retrospective analysis was conducted on patients with suspected APE who underwent CT pulmonary angiography at the First Affiliated Hospital of Henan University of Chinese Medicine between February 2015 and December 2023. The patients were randomly divided into a training set and a validation set at a ratio of 7∶3. Clinical and laboratory data of the enrolled patients were collected, and patients were divided into an APE group and a non-APE group according to CT pulmonary angiography results. In the training set, univariate and multivariate logistic regression as well as Lasso regression were used to identify risk factors for APE, and a diagnostic model was developed and validated. Receiver operating characteristic curves were plotted, and calibration and decision curves were used to assess the performance of the diagnostic model. The diagnostic efficacy of the model was compared with that of the Wells score and the revised Geneva score using the DeLong test.Results:A total of 752 patients were enrolled, aged (64±15) years, including 417 (55.5%) males. The training set included 526 patients and the validation set included 226 patients. The incidence of APE in this cohort was 48.7% (366/752), with 366 cases in the APE group and 386 in the non-APE group. Multivariable logistic regression analysis showed that cyanosis ( OR=8.88, 95% CI 2.04-49.11), elevated neutrophil count ( OR=1.82, 95% CI 1.06-3.15), elevated creatine kinase isoenzyme ( OR=3.45, 95% CI 1.76-6.91), decreased partial pressure of carbon dioxide ( OR=12.88, 95% CI 7.64-22.34), elevated age-adjusted D-dimer ( OR=2.53, 95% CI 1.10-6.20), prolonged thrombin time ( OR=4.08, 95% CI 2.06-8.33), and positive lower limb venous ultrasound for thrombus ( OR=4.39, 95% CI 2.59-7.58) were risk factors associated with APE. The area under the curve ( AUC) of the diagnostic model was 0.92 (95% CI 0.90-0.94) in the training set and 0.92 (95% CI 0.89-0.95) in the validation set. The diagnostic efficacy of this model was superior to that of the Wells score ( AUC: 0.92 vs. 0.63, P<0.01) and the revised Geneva score ( AUC: 0.92 vs. 0.59, P<0.01). Conclusion:The diagnostic model for acute pulmonary embolism constructed based on clinical and laboratory parameters demonstrates excellent diagnostic performance and may facilitate rapid and accurate screening in clinical practice.