Objective To explore and verify the prognostic value of endothelial cells in glioblastoma. Methods Through bioinformatics analysis of the TCGA and CGGA databases, we screened endothelial cell-related markers in GBM single-cell data according to a series of criteria. Moreover, univariate Cox regression analysis was performed to obtain and screen endothelial cell prognosis-related markers and construct endothelial cell-related prognostic risk score. qPCR experiments was used to verify the differences in the expression of prognostic markers in GBM tissues and peritumoral normal brain tissues. Kaplan-Meier method was used to construct the survival curve to identify the prognostic efficacy of the prognostic risk score. Results A total of 2 115 prognostic genes of glioblastoma (GBM) were screened. Among them, 1 494 was upregulated and 621 was downregulated. Seven groups of cells were obtained after GBM single-cell sequencing analysis, including AC-like tumor cells, endothelial cells, monocytes/macrophages, NB-like tumor cells, neurons, OC-like tumor cells, and OPC-like tumor cells. According to the differential genes of endothelial cells and the corresponding screening criteria, four genes (DUSP6, STC1, VWA1, and TM4SF1) were screened for risk-score construction. The expression of the target gene in GBM tissues and normal brain tissues around the tumor was significantly up-regulated detected by qPCR. The risk score=0.171*DUSP6+0.144*STC1+0.041*VWA1−0.004*TM4SF1. Conclusion The glioblastoma endothelial cells’ risk score determined in this study can preferably predict the prognosis of patients.

Tongue squamous cell carcinoma (TSCC) is a prevalent malignancy that afflicts the head and neck area and presents a high incidence of metastasis and invasion. Accurate diagnosis and effective treatment are essential for enhancing the quality of life and the survival rates of TSCC patients. The current treatment modalities for TSCC frequently suffer from a lack of specificity and efficacy. Nanoparticles with diagnostic and photothermal therapeutic properties may offer a new approach for the targeted therapy of TSCC. However, inadequate accumulation of photosensitizers at the tumor site diminishes the efficacy of photothermal therapy (PTT). This study modified gold nanodots (AuNDs) with the TSCC-targeting peptide HN-1 to improve the selectivity and therapeutic effects of PTT. The Au-HN-1 nanosystem effectively targeted the TSCC cells and was rapidly delivered to the tumor tissues compared to the AuNDs. The enhanced accumulation of photosensitizing agents at tumor sites achieved significant PTT effects in a mouse model of TSCC. Moreover, owing to its stable long-term fluorescence and high X-ray attenuation coefficient, the Au-HN-1 nanosystem can be used for fluorescence and computed tomography imaging of TSCC, rendering it useful for early tumor detection and accurate delineation of surgical margins. In conclusion, Au-HN-1 represents a promising nanomedicine for imaging-based diagnosis and targeted PTT of TSCC.
Tongue Neoplasms/diagnostic imaging* ; Carcinoma, Squamous Cell/diagnostic imaging* ; Animals ; Gold/chemistry* ; Mice ; Photothermal Therapy/methods* ; Tomography, X-Ray Computed ; Photosensitizing Agents ; Metal Nanoparticles ; Humans ; Cell Line, Tumor

Purpose/Significance To construct a Chinese medical knowledge Q&A corpus dataset as a standardized evaluation bench-mark for large language models(LLMs)in the medical domain,so as to improve the accuracy and efficiency of LLMs in handling Chinese medical questions.Method/Process Chinese medical paper knowledge,medical terminology explanations and supplementary questions are acquired from the Chinese medical licensing examination,and open-source Chinese medical Q&A datasets are encompassed in the developed Q&A datasets.Result/Conclusion The Chinese medical knowledge Q&A corpus datasets enrich the sources of existing datasets and promote the objective and comprehensive quantitative evaluation of large models in the medical field.In the near future,additional data such as electronic medical records and those from online health communities will be used to strengthen the support of artificial intelli-gence for the Healthy China strategy.

With the continuous improvement of medical information and intelligence, multi-modal data fusion technology is increasingly widely used in the medical field. Multi-modal data not only has a large quantity, but also has rich information content, which can provide strong support for clinical nursing decision-making. However, due to the uneven level of informatization and intelligence development among medical institutions, the development and application of nursing decision support system is still in a fragmented state. Based on this, this study explores in depth the current application status and challenges faced by multi-modal data fusion in nursing decision support systems, with the aim of providing reference for the design and improvement of nursing decision support system at all levels of medical institutions in the future.

With the continuous advancement of information technology, electronic medical records (EMR) have accumulated vast amounts of clinical data, which can assist nursing staff in making clinical decisions, thereby improving the quality of care, enhancing work efficiency, and promoting patient safety. However, due to varying levels of information technology development across medical institutions, nursing decision support systems (NDSS) remain in a fragmented development stage. This article explores the current application status and existing shortcomings of NDSS based on EMR systems, aiming to provide reference for the design and improvement of NDSS in various levels of medical institutions.

With the continuous development of identification technologies such as mass spectrometry,omics,and antibody technology,post-translational modification(PTM)has demonstrated increasing potential in medical research.PTM as a novel chemical modification method provides new perspectives for the research on dis-eases.Succinylation as a novel modification has aroused the interest of more and more researchers.The available studies about succinylation mainly focus on a desuccinylase named sirtuin 5.This enzyme plays a key role in mod-ification and has been preliminarily explored in cardiovascular studies.This paper summarizes the influencing fac-tors and regulatory roles of succinylation and the links between succinylation and other PTMs and reviews the re-search progress of PTMs in the cardiovascular field,aiming to deepen the understanding about the role of this modification and give new insights to the research in this field.

Parkinson′s disease (PD) is a neurodegenerative disorder, and the abnormal levels of its pathological marker ɑ-synuclein (ɑ-syn) are often accompanied by imbalanced heavy metal homeostasis. However, the underlying mechanisms remain unclear, with limited research. This review explores the interactions between iron, copper, zinc, and manganese with pathological ɑ-syn′s abnormal expression, aggregation, and degradation in development and progression of PD. It also discusses potential therapeutic directions for addressing heavy metal imbalances in PD patients.

ObjectiveTo determine the serum antibody level and risk factors in the adolescent population in a county in Zhejiang Province， following the immunization with inactivated COVID-19 vaccine， and to construct a prediction model for antibody concentration. MethodsWe conducted the study in a county in Zhejiang Province， employing a stratified cluster random sampling strategy in school children who had received the inactivated COVID-19 vaccine. Data on gender， age， type of vaccine， and time of vaccination was collected. Serum samples were also collected to test for anti-S and N IgG antibody against the SARS-CoV-2 by using chemiluminescent immunoassay （CLIA）. Risk factors were determined to construct a prediction model for antibody concentration. ResultsThe IgG antibody concentration was significantly higher in girls， those who received two doses， and those who had simply received the KX vaccine . It decreased with age and time interval between the sampling and last vaccination. The prediction model constructed by random forest regression in the study had a better model fit and predictive ability than that by the multivariable linear stepwise regression. ConclusionGender， age， vaccination dose， type of vaccine， and time of vaccination are associated with vaccination effectiveness of inactivated COVID-19 vaccines in adolescents. Prediction model could predict the antibody level in the vaccinated population， which can provide a new tool for better evaluation of vaccination effectiveness against emerging infectious diseases in future.

ObjectiveTo understand the acceptance of sex-related behaviors， sexual safety awareness， and refusal skills among junior high school students and conduct association analysis， and to provide a reference for the implementation of sex and reproductive health education for adolescents. MethodsA questionnaire survey related to knowledge of sexual and reproductive health was conducted among 478 students from two junior high schools in Jiading District， Shanghai. ResultsThe pass rate for sex and reproductive health knowledge among junior high school students was only 36.6%， with acceptance rates for dating， watching pornography， engaging in sexual behavior， pregnancy， and artificial abortion at 24.5%， 11.1%， 5.6%， 4.8%， and 5.9%， respectively. Binary logistic regression analysis showed that students who passed the sexual and reproductive health assessment had a significantly lower acceptance rate of sex-related behaviors than those who did not （aOR=1.666， 95%CI： 1.124‒2.470， P=0.011）. Adolescents with a passing knowledge of sexual and reproductive health （aOR=1.607， 95%CI： 1.060‒2.438， P=0.026） or a lower acceptance of sex-related behaviors （aOR=4.199， 95%CI： 2.804‒6.289， P<0.001） had higher awareness of sexual safety. Adolescents with a passing knowledge of sexual and reproductive health （aOR=1.691， 95%CI： 1.066‒2.684， P=0.026）， a lower acceptance of sex-related behaviors （aOR=1.756， 95%CI： 1.130‒2.729， P=0.012）， or higher awareness of sexual safety （aOR=2.872， 95%CI： 1.826‒4.516， P<0.001） had stronger skills to refuse sex-related behaviors. ConclusionSexual and reproductive attitudes， sexual safety awareness， and refusal skills for sex-related behaviors among junior high school students in Jiading District need to be improved. Schools should focus on cultivating adolescents’ sexual and reproductive knowledge and related skills， and advocate for relevant institutions to provide appropriate sexual healthcare services to meet their needs for reproductive healthcare.

Due to multiple factors such as the closed research and development (R&D) system and differences in international mainstream regulatory standards, the internationalization of Chinese patent medicines has been weakly promoted. Multi-case analysis based on grounded theory can identify the key factors that promote the internationalization of Chinese patent medicines in each link, so as to put forward suggestions for promoting the internationalization of Chinese patent medicines. By retrieving the research literature on the internationalization of Chinese patent medicines included in CNKI, and further searching the official websites of the corresponding enterprises, as well as the news reports, comments and analysis of related events on official websites such as Xinhua News Agency, People's Network and China Medical Device Network, 27 textual materials were obtained, 6 classic cases of international registration of Chinese patent medicines were summarized, and three-level coding was used to organize and analyze them level by level. 25 initial categories and 7 main categories were extracted, and 4 core categories were finally summarized: promote R&D and promotion in advantageous areas based on international needs, build a quality control system in line with the international standards, select appropriate national markets based on international demand, and carry out international collaborative R&D in the whole life cycle. Based on this, suggestions were put forward: in order to promote the internationalization process of Chinese patent medicines, priority disease types and product formulations should be determined based on demand during the drug discovery phase; full cycle international cooperation in drug R&D should be carried out; a Chinese patent medicines and simple preparations supervision system that is in line with the international standards in the link of drug quality supervision should be constructed; countries with flexible and experienced regulatory rules in the drug approval and marketing process should be chosen.