BACKGROUND:Ossification of the ligamentum flavum was previously considered to be rare in the population.As research has progressed,its incidence rate is increasing gradually,which has aroused the interest of a large number of researchers. OBJECTIVE:To visualize and analyze the research results on ossification of the ligamentum flavum from the Web of Science Core Collection since 1999 using bibliometric methods,and to review the research history of ossification of the ligamentum flavum,highlighting important literature,summarizing research hotspots,and providing ideas for researchers to find research directions. METHODS:Using the Web of Science Core Collection as the data source,relevant papers on ossification of the ligamentum flavum were searched and screened.VOSviewer 1.6.19 and CiteSpace 6.2.R6 were used to conduct the visual analysis of annual publication volume,research countries,institutions,citations,journals,authors,and keywords. RESULTS AND CONCLUSION:(1)A total of 347 papers were included.Since 1999,the number of published papers has increased in a spiral pattern.China's research started later than Japan's,but the number of publications has come up later,with Peking University being the institution with the most publications,and Prof.Chen Zhongqiang from Peking University being the scholar with the most publications.(2)Five of the 10 most frequently cited publications were related to the surgical treatment of the disease.(3)Excluding keywords directly related to the research topic and synthetically analyzing frequencies and betweenness centralities of key words,terms such as"thoracic myelopathy,""dural ossification,""minimally invasive surgery,"and"ossification of the posterior longitudinal ligament"occupied a central position in this field.(4)Keywords clustering analysis showed that clinical manifestations and surgical treatment of ossification of the ligamentum flavum accounted for a large proportion of study.(5)The timeline and burst analysis of keywords revealed that"minimally invasive surgery"appeared as a keyword around 2015,with the highest burst strength and the latest burst start time,and began to receive extensive attention from researchers in 2019.The burst of the keyword"dural ossification"has not yet ended.(6)Surgical treatment for ossification of the ligamentum flavum has been at the forefront of research.Development and research of minimally invasive surgery and research on dural ossification secondary to ossification of the ligamentum flavum are both current research hotspots and possible future research trends.

Ursodeoxycholic acid (UDCA) is a naturally occurring, low-toxicity, and hydrophilic bile acid (BA) in the human body that is converted by intestinal flora using primary BA. Solute carrier family 7 member 11 (SLC7A11) functions to uptake extracellular cystine in exchange for glutamate, and is highly expressed in a variety of human cancers. Retroperitoneal liposarcoma (RLPS) refers to liposarcoma originating from the retroperitoneal area. Lipidomics analysis revealed that UDCA was one of the most significantly downregulated metabolites in sera of RLPS patients compared with healthy subjects. The augmentation of UDCA concentration (≥25 μg/mL) demonstrated a suppressive effect on the proliferation of liposarcoma cells. [¹⁵N₂]-cystine and [¹³C₅]-glutamine isotope tracing revealed that UDCA impairs cystine uptake and glutathione (GSH) synthesis. Mechanistically, UDCA binds to the cystine transporter SLC7A11 to inhibit cystine uptake and impair GSH de novo synthesis, leading to reactive oxygen species (ROS) accumulation and mitochondrial oxidative damage. Furthermore, UDCA can promote the anti-cancer effects of ferroptosis inducers (Erastin, RSL3), the murine double minute 2 (MDM2) inhibitors (Nutlin 3a, RG7112), cyclin dependent kinase 4 (CDK4) inhibitor (Abemaciclib), and glutaminase inhibitor (CB839). Together, UDCA functions as a cystine exchange factor that binds to SLC7A11 for antitumor activity, and SLC7A11 is not only a new transporter for BA but also a clinically applicable target for UDCA. More importantly, in combination with other antitumor chemotherapy or physiotherapy treatments, UDCA may provide effective and promising treatment strategies for RLPS or other types of tumors in a ROS-dependent manner.

Objective To explore the molecular mechanism of Xiaojin Pills in the treatment of breast cancer using an integrated network pharmacology and experimental verification.Methods The chemical components and potential targets of Xiaojin Pills were obtained from TCMSP,TCM-ID,ETCM and SwissTargetPrediction databases.Breast cancer related targets were collected from GeneCards,OMIM and KEGG databases.The overlapped targets were imported into STRING database to analysis a protein-protein interaction(PPI).The key targets of PPI networks were screened based on node topology parameter values through Cytoscape 3.8.0.DAVID database was used to analyze the GO and KEGG pathway enrichment to build drug-chemical components-key targets-signaling pathway network.The breast cancer cell lines MDA-MB-231 and SK-BR-3 were used to study the effects of Xiaojin Pills extract on cell apoptosis,migration and invasion,and to verify the key pathway obtained by enrichment analysis.Results Totally 181 chemical components in Xiaojin Pills were obtained,including quercetin,myricetin,pinocembrin and β-sitosterol.615 potential targets were identified for the anti-breast cancer effects of Xiaojin Pills.After overlapping,170 key targets against breast cancer were identified based on the topological analysis,which included SRC,ERK1/2,AKT1,EGFR,etc.KEGG analysis enriched pathways including pathways in cancer,MAPK signaling pathway,endocrine resistance,PI3K-AKT signaling pathway,EGFR tyrosine kinase inhibitor resistance,apoptosis,and HIF-1 signaling pathway,which may play important roles in the therapeutic effects of Xiaojin Pills against breast cancer.GO enrichment was involved in protein phosphorylation,inflammatory response,negative regulation of apoptosis,and positive regulation of ERK1 and ERK2 cascades.Cell experiments showed that Xiaojin Pills further induced mitochondria-dependent apoptosis by inhibiting the activation of MAPK and PI3K-AKT pathways.At the same time,the expressions of ZO-1 and β-catenin increased,and the epithelial-mesenchymal transformation process was reversed to inhibit the metastasis of breast cancer cells.Conclusion The key targets and signaling pathways of Xiaojin Pills in the treatment of breast cancer are studied through network pharmacology combined with in vitro experiments,which provided a basis for further study of its pharmacodynamic material basis,mechanism of action and clinical application.

BackgroundThe existing tools in China for assessing psychiatric nurses' knowledge， attitude and practice towards the use of protective restraint do not sufficiently consider the specialty in psychiatric practice， and the scale items are somewhat cumbersome to use， which together restrict their further promotion and application. Accordingly， there is an urgent need for developing a more scientific assessment tool. ObjectiveTo construct a scale for assessing psychiatric nurses' knowledge， attitude and practice towards the use of protective restraint and to verify its reliability and validity， so as to provide a generic tool for the assessment. MethodsBased on the theoretical framework of the knowledge-attitude-practice model， the preliminary scale was formed through systematic literature review， qualitative interview and Delphi method. From July to December 2021， a stratified sampling was utilized to select 729 psychiatric nurses from tertiary， secondary and primary （including unclassified medical institutions and grassroots hospitals） psychiatric hospitals in Guangdong Province. The formal scale was developed through item analysis， exploratory factor analysis and confirmatory factor analysis. The validity of the scale was evaluated by content validity and structure validity， and the reliability was verified by procedures including Cronbach's α coefficient， test-retest reliability， and split-half reliability. ResultsA total of 12 items of three dimensions （knowledge， attitude， practice） were included in the scale for assessing psychiatric nurses' knowledge， attitude and practice towards the use of protective restraint. The scale-level content validity index （S-CVI） was 0.941， and the item-level content validity index （I-CVI） ranged from 0.812 to 1.000. Exploratory factor analysis extracted three common factors， and the cumulative variance contribution rate was 62.948%. The confirmatory factor yielded adequate fit. Cronbach's α coefficient was found to be 0.887 for the scale， 0.819 for knowledge dimension， 0.842 for attitude dimension， and 0.831 for practice dimension. The split-half reliability and test-retest reliability for the scale were 0.712 and 0.922， respectively. ConclusionThe scale shows satisfactory reliability and validity， which can be used to assess psychiatric nurses' knowledge， attitude and practice towards the use of protective restraint. ［Funded by Guangdong Clinical Teaching Base Teaching Reform Research Project （number， 2021JD119）］

In order to realize the diagnosis of slit lamp in cross-regional patients and improve the real-time and convenience of diagnosis,a remote slit lamp diagnosis platform based on Internet of Things(IoT)technology is designed.Firstly,the feasibility of remote slit lamp is analyzed.Secondly,the IoT platform architecture of doctor/server/facility(D/S/F)is proposed and a remote slit lamp is designed.Finally,the performance of the remote slit lamp diagnostic platform is tested.The platform solves the communication problem of distributed slit lamps and realizes respectively numerical control of multi-area slit lamp by multi-eye experts.The test results show that the remote control delay of the platform is less than 20 ms,which supports multiple experts to diagnose multiple patients separately.

The expression level of NOD-like receptors(NLRP3)inflammasome is significantly elevated in breast cancer tissues,and a high level of NLRP3 inflammasomes is closely associated with breast cancer metastasis.Activation of NLRP3 inflammasome can induce the release of inflammatory factors into the tumor microenvironment(TME).These inflammatory factors,by signaling to cancer cells,reshape the TME to promote tumor growth and invasion,ultimately facilitating the process of epithelial-mesenchymal transition.This equips cancer cells with the ability to establish distant metastases and increase the formation of metastatic lesions.This review addresses the current research status and prospects of NLRP3 inflammasomes in the breast cancer TME and their role in breast cancer metastasis.The goal is to provide new insights for the study of breast cancer metastasis mechanisms and treatment strategies.

Objective To investigate the risk factors for pulmonary infection in patients with acute-on-chronic liver failure(ACLF),and to establish a predictive model.Methods A retrospective analysis was performed for 585 ACLF patients who were admitted to Department of Infectious Diseases,The Second Affiliated Hospital of Air Force Medical University,from January 2009 to September 2022,and according to the condition of pulmonary infection after admission,they were divided into infection group with 213 patients and non-infection group with 372 patients.The independent-samples t test or the Mann-Whitney U test was used for comparison of continuous data between two groups,and the chi-square test was used for comparison of categorical data between groups.The clinical data of these patients were collected.Univariate and multivariate Logistic regression analyses were used to investigate the risk factors for pulmonary infection in ACLF patients and establish a predictive model,and the receiver operating characteristic(ROC)curve was plotted to assess the predictive value of the model.The Hosmer-Lemeshow test was used to evaluate the degree of fitting of the model,and the ROC curve and the area under the ROC curve(AUC)were used to assess the predictive performance of the model.Results Among the 585 patients with ACLF,213 experienced pulmonary infection,with an infection rate of 36.41%.The multivariate logistic analysis showed that upper gastrointestinal bleeding(odds ratio[OR]=2.463,P=0.047),infection at other sites(OR=2.218,P=0.004),femoral vein catheterization(OR=2.520,P＜0.001),and combined use of two or more antibiotics(OR=2.969,P＜0.001)were risk factors for pulmonary infection in ACLF patients.These factors were included in the risk factor predictive model of Logit(P)=-1.869+0.901×upper gastrointestinal bleeding+0.755×infection at other sites+0.924×femoral vein catheterization+1.088×combined use of two or more antibiotics.The ROC curve analysis showed that the model had a good predictive value(Hosmer-Lemeshow χ2=3.839,P=0.698),with an AUC of 0.753(95%confidence interval:0.700-0.772).Conclusion There is a relatively high incidence rate of pulmonary infection in patients with ACLF,and upper gastrointestinal bleeding,spontaneous peritonitis,femoral vein catheterization,and combined use of two or more antibiotics are related risk factors.The model established based on these factors can effectively predict the onset of pulmonary infection in ACLF patients.

Aim To investigate the enhanced efficacy and reduced toxicity of GanoExtra in combination with cyclophosphamide(CTX)on inhibiting lung metastasis and immune function in mice.Methods The CCK-8 method was used to verify the cytotoxic effects of Gano-Extra on MCF-7 and 4T1 tumor cells.In vivo experi-ment,a mouse model of lung metastasis of breast canc-er was established by injecting 4T1 tumor cells into the tail vein,which was divided into four groups including 4T1 model group,CTX group,GanoExtra group and GanoExtra+CTX group.The control group was set.After 21 days,the mice were euthanized under anes-thesia,and the body weight of the mice was recorded.Average lung index and spleen index were calculated.The mouse spleen lymphocyte transformation experi-ment was used to determine the activity of spleen cells.The NK cell activity assay was used to determine the activity of NK cells.Blood cells were determined in mouse blood samples.Flow cytometry was used to de-termine the levels of CD4+and CD8+T cells in blood samples.ELISA was used to measure the levels of TNF-α and IL-6 in serum.HE staining was used to ob-serve the pathological morphological changes in tumors and various tissues;and CFSE staining was used to de-termine the proliferative effect of GanoExtra on CD8+cells.Results In vitro GanoExtra at 50 mg·L-1 sig-nificantly inhibited the activity of MCF-7 and 4T1 tumor cells.In the breast cancer pulmonary metastasis model,compared with the model group,the spleen in-dex and blood WBCs content were significantly re-duced,while the activity of NK cells,spleen cells,and the proportion of RBCs,CD 3+and CD 8+T cells in the blood were significantly increased.At the end of the treatment,compared with the CTX group,the number of lung metastases and lung index of the Gano-Extra+CTX group were significantly reduced,and the levels of HGB,CD8+cells,IL-6,and TNF-α in the blood of mice were significantly increased.GanoExtra at 10 mg·L-1 significantly promoted the proliferation of CD8+T cells in vitro.Conclusions GanoExtra can enhance the inhibitory effect of CTX on tumor metasta-sis,alleviate adverse reactions such as splenomegaly and pulmonary enlargement caused by CTX,and have a health-promoting function of promoting the prolifera-tion of CD8+T cells to enhance the immune efficacy of the body.

Objective:To investigate the effects of CT images reconstructed using different field of view (FOV) sizes on the automatic segmentation of organs at risk and dose calculation accuracy in radiotherapy after radical mastectomy.Methods:Under the same scanning conditions, CT values-electron density conversion curves were established by reconstructing the original CT images of a phantom placed at the isocenter and extended FOV (eFOV) positions using FOV sizes of 50, 60, 70 and 80 cm. Then, these curves were compared. A standard phantom with a known volume was scanned, and the automatic segmentation result of the phantom on CT images reconstructed using different FOV sizes was compared. A total of 30 patients in Guangdong Second Provincial General Hospital from January 2020 to June 2022 with breast cancer were randomly selected. Through simulated positioning, their CT images were reconstructed using different FOV sizes for the purpose of automatic segmentation of organs at risk, followed by comparison between the outcomes of automatic segmentation and physicians′segmentation. The treatment plan established based on CT images reconstructed using a FOV size of 50 cm (FOV 50 images for short) was applied to CT images reconstructed using FOV sizes of 60, 70 and 80 cm (FOV 60, FOV 70 and FOV 80 images for short) for dose calculation, and the dose calculation result were compared. Results:The CT values - electron density conversion curves derived from CT images reconstructed using different FOV sizes were roughly consistent. At the isocenter, the difference between the segmented volume and actual volume of the standard phantom increased up to a maximum of 6 cm 3 (4.8%) with an increase in the FOV size. As indicated by the automatic segmentation result, the segmentation accuracy of the spinal cord, trachea, esophagus, thyroid, healthy mammary gland, and skin decreased with an increase in the FOV size ( t = -28.43-8.23, P < 0.05). The comparison of dose calculated based on CT images reconstructed using different FOV sizes showed that there was no statistically significant differences( P>0.05) in the dose to target volume ( V95) and the maximum and average doses in the supraclavicular lymph node region, as well as the dose to organs at risk. The coverage for planned target volume decreased with an increase in the FOV size, with a maximum difference of 4.06%. Conclusions:It is recommended that, for radiotherapy after radical mastectomy, FOV 50 images should be selected for the automatic segmentation of organs at risk, CT-values-electron density conversion curves should be established based on the electron density phantom images of the eFOV region, and the eFOV 80 images should be preferred for dose calculation.