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.

Necroptosis, a form of programmed cell death, initiates a series of biological responses and further culminates in necroinflammatory processes, consequently limiting the efficacy of cytokine antagonists in treating inflammatory diseases. To address this issue, DNAzyme R3-Dz specifically targeting receptor-interacting protein kinase 3 (RIP3) mRNA, a necrosome component, has been successfully developed and studied to elucidate the mechanism in cleaving its target mRNA. Then a polyamidoamine (PAMAM) derivative was constructed through the modification of nucleobase analog (termed AP) to achieve the R3-Dz delivery to macrophages. The AP/R3-Dz nanoparticles effectively downregulated the RIP3 expression, leading to subsequent decrease in the levels of reactive oxygen species (ROS) and damage-associated molecular patterns (DAMPs), ultimately inhibiting the necroinflammatory processes mediated by the NOD-like receptor family pyrin domain-containing 3 (NLRP3). Finally, AP/R3-Dz nanoparticles and their combination with the NLRP3 inhibitor MCC950 suppressed the necrotic phenotype and ameliorated the disease progression in diverse models, including gouty arthritis, autoimmune hepatitis and rheumatoid arthritis. In summary, the AP/R3-Dz nanoparticles in combination with MCC950 have been demonstrated to achieve the intervention in necroptosis and inflammation by dual disruption of the intricate feedback loop of necroinflammation and thus have promising potential in the treatment of inflammatory diseases.

OBJECTIVES: We propose a Contrastive Regional Attention and Prior Knowledge-Infused U-Transformer model (CRAKUT) to address the challenges of imbalanced text distribution, lack of contextual clinical knowledge, and cross-modal information transformation to enhance the quality of generated radiology reports. METHODS: The CRAKUT model comprises 3 key components, including an image encoder that utilizes common normal images from the dataset for extracting enhanced visual features, an external knowledge infuser that incorporates clinical prior knowledge, and a U-Transformer that facilitates cross-modal information conversion from vision to language. The contrastive regional attention in the image encoder was introduced to enhance the features of abnormal regions by emphasizing the difference between normal and abnormal semantic features. Additionally, the clinical prior knowledge infuser within the text encoder integrates clinical history and knowledge graphs generated by ChatGPT. Finally, the U-Transformer was utilized to connect the multi-modal encoder and the report decoder in a U-connection schema, and multiple types of information were used to fuse and obtain the final report. RESULTS: We evaluated the proposed CRAKUT model on two publicly available CXR datasets (IU-Xray and MIMIC-CXR). The experimental results showed that the CRAKUT model achieved a state-of-the-art performance on report generation with a BLEU-4 score of 0.159, a ROUGE-L score of 0.353, and a CIDEr score of 0.500 in MIMIC-CXR dataset; the model also had a METEOR score of 0.258 in IU-Xray dataset, outperforming all the comparison models. CONCLUSIONS The proposed method has great potential for application in clinical disease diagnoses and report generation.
Humans ; Radiology Information Systems ; Radiology

Dental caries, a chronic disease characterized by tooth decay, occupies the second position in terms of disease burden and is primarily caused by cariogenic bacteria, especially Streptococcus mutans, because of its acidogenic, aciduric, and biofilm-forming capabilities. Developing novel targeted anti-virulence agents is always a focal point in caries control to overcome the limitations of conventional anti-virulence agents. The current study represents an up-to-date review of in silico approaches of drug design against dental caries, which have emerged more and more powerful complementary to biochemical attempts. Firstly, we categorize the in silico approaches into computer-aided drug design (CADD) and AI-assisted drug design (AIDD) and highlight the specific methods and models they contain respectively. Subsequently, we detail the design of anti-virulence drugs targeting single or multiple cariogenic virulence targets of S. mutans, such as glucosyltransferases (Gtfs), antigen I/II (AgI/II), sortase A (SrtA), the VicRK signal transduction system and superoxide dismutases (SODs). Finally, we outline the current opportunities and challenges encountered in this field to aid future endeavors and applications of CADD and AIDD in anti-virulence drug design.

Objective: To investigate the effects of “Three Methods and Three Acupoints” (TMTP) Tuina therapy on spinal microcirculation in sciatic nerve injury (SNI). Methods: Thirty-six Sprague–Dawley rats were randomly assigned to four groups: normal, sham operation, model, and TMTP Tuina. Successful model induction was confirmed by observable hind limb lameness. After 20 sessions, hind limb grip strength and motor nerve conduction velocity (MNCV) were measured at baseline and following the 10th and 20th intervention. CD31 and α-SMA in the ventral horn of SNI model rats were detected using immunofluorescence. Motor neurons in the ventral horn were detected by Nissl staining. PTEN levels in the ventral horn were measured by ELISA, and PI3K, Akt, BDNF, VEGF, and HIF-1α expression was determined by RT-PCR. Spinal cord microcirculation was evaluated by western blotting analysis of the levels of Akt, p-Akt, BDNF, and VEGF. Results: Hind limb grip strength and MNCV significantly improved in the TMTP Tuina group compared to the model group (both P < .001). Morphology of ventral horn motor neurons in the TMTP Tuina group improved compared to the model group, with increased expressions of α-SMA (P = .002) and CD31 (P = .006). Western blot analysis indicated increased expression of VEGF (P = .005), p-Akt (P < .001), and BDNF (P = .008) in the ventral horn following Tuina treatment. RT-PCR analysis revealed increased expression of PI3K, Akt, BDNF, VEGF and HIF-1α (all P < .05). In contrast, expression of PTEN decreased compared to the model group (P < .001). Conclusion TMTP Tuina therapy may restore motor function in rats, enhance ventral horn motor neuron morphology, and promote angiogenesis and vascular smooth muscle proliferation. The mechanism may involve the activation of the PI3K/Akt signaling pathway.

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.

Dental caries,a chronic disease characterized by tooth decay,occupies the second position in terms of disease burden and is primarily caused by cariogenic bacteria,especially Streptococcus mutans,because of its acidogenic,aciduric,and biofilm-forming capabilities.Developing novel targeted anti-virulence agents is always a focal point in caries control to overcome the limitations of conventional anti-virulence agents.The current study represents an up-to-date review of in silico approaches of drug design against dental caries,which have emerged more and more powerful complementary to biochemical attempts.Firstly,we categorize the in silico approaches into computer-aided drug design(CADD)and AI-assisted drug design(AIDD)and highlight the specific methods and models they contain respectively.Subsequently,we detail the design of anti-virulence drugs targeting single or multiple cariogenic virulence targets of S.mutans,such as glucosyltransferases(Gtfs),antigen Ⅰ/Ⅱ(AgⅠ/Ⅱ),sortase A(SrtA),the VicRK signal transduction system and superoxide dismutases(SODs).Finally,we outline the current opportunities and challenges encountered in this field to aid future endeavors and applications of CADD and AIDD in anti-virulence drug design.