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.

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.

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.

Objective:To observe the clinical efficacy of manual therapy based on the Discovery of Posture Secret (DPS) in treating adolescent idiopathic scoliosis (AIS).Methods:Thirty-six AIS patients were randomly divided into an observation group of 17 and a control group of 16. In addition to 10 minutes of side-shift training each week, the control group was given 20 minutes of sling exercise training (SET), while the observation group underwent weekly 20-minute manual therapy sessions based on DPS on the days without SET. Before and after the 4 weeks of treatment spine curvature (Cobb angle), clavicular angle (CA), angle of trunk rotation (ATR) and vertebral rotation (VR) were measured, and the Scoliosis Research Society′s patient questionnaire 22 (SRS-22) was administered.Results:After the treatment the average Cobb angle, CA, ATR and SRS-22 score of the observation group had improved significantly compared with before the treatment. The average Cobb angle, ATR and SRS-22 score of the control group were also significantly higher, but the improvements were not as great as in the observation group. There was no significant difference in VR improvement between the two groups.Conclusion:Manual therapy based on the DPS can effectively ameliorate the scoliosis and shoulder imbalance of AIS patients.

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 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.

With the optimization of surgical technologies and postoperative management regimens, the number of lung transplantation has been significantly increased, which has become an important treatment for patients with end-stage lung disease. However, due to the impact of comprehensive factors, such as bronchial ischemia and immunosuppression, the incidence of airway stenosis after lung transplantation is relatively high, which severely affects postoperative survival and quality of life of lung transplant recipients. In recent years, with the improvement of perioperative management, organ preservation and surgical technologies, the incidence of airway stenosis after lung transplantation has been declined, but it remains at a high level. Early diagnosis and timely intervention play a significant role in enhancing clinical prognosis of patients with airway stenosis. In this article, the general conditions, diagnosis, treatment and prevention of airway stenosis after lung transplantation were reviewed, aiming to provide reference for comprehensive management of airway stenosis after lung transplantation and improving clinical prognosis of lung transplant recipients.

In the quality control of Chinese medicine， the detection of active components and toxic and harmful components are two important links. Although conventional methods such as high performance liquid chromatography and liquid chromatography-mass spectrometry can accurately quantify the above substances， they have shortcomings such as complicated operation， high costs， inability of detection at any time， difficult detection of insoluble and macromolecular substances. Enzyme-linked immunosorbent assay （ELISA） can adsorb antigens or antibodies on the surface of solid carriers and realize qualitative or quantitative analysis of targets by using the specific reactions of antigens and antibodies. This method is praised for the simple operation， high sensitivity， strong specificity， simple requirements for experimental equipment， a wide application range， and low costs. In recent years， ELISA has been widely used in the quality control of Chinese medicine， especially in the content determination of mycotoxins represented by aflatoxin and the qualitative and quantitative analysis of active components. ELISA plays an increasingly important role with its unique advantages， providing new methods and ideas for the rapid quality examination of large quantities of Chinese medicines. This paper reviews the research progress in ELISA for the quality control of Chinese medicine in recent years and prospects its technical development and application prospects， aiming to provide reference and research ideas for further using this method to ensure the quality， safety， and controllability of Chinese medicine.

ObjectiveTo establish an allele-specific polymerase chain reaction （PCR） method for identifying Scolopendra dispensing granules， so as to ensure the quality and therapeutic effects of Scolopendra and its preparations. MethodThe primer interval suitable for the PCR was selected based on the cytochrome c oxidase subunit 3（COX-3） gene sequence of Scolopendra， and the single nucleotide polymorphism （SNP） loci of Scolopendra and its adulterants were mined from the interval for the design of specific primers. The samples of Scolopendra and its adulterants were collected. The PCR system was established and optimized regarding the annealing temperature， cycles， Taq enzymes， DNA template amount， PCR instruments， and primer concentrations， and the specificity and applicability of this method were evaluated. ResultThe PCR system was composed of 12.5 μL 2×M5 PCR Mix， 0.4 μL forward primer （10 μmol·L^-1）， 0.4 μL reverse primer （10 μmol·L^-1）， 2.5 μL DNA template， and 9.2 μL sterile double distilled water. PCR parameters： Pre-denaturation at 94 ℃ for 3 min， 30 cycles （94 ℃ for 20 s， 62 ℃ for 20 s， 72 ℃ for 45 s）， and extension at 72 ℃ for 5 min. After PCR amplification with the system and parameters above， the electrophoresis revealed a bright band at about 135 bp for Scolopendra and no band for the adulterants. ConclusionThe established allele-specific PCR method can accurately identify the medicinal materials， decoction pieces， and standard decoction freeze-dried powder of Scolopendra， as well as the intermediates and final products of Scolopendra dispensing granules， which is of great significance for ensuring the quality and clinical efficacy of Scolopendra and its preparations.