Under the trend of increasing aging， integrated elderly care and medical services is an important measure to optimize the supply of elderly care services and promote the good death of the elderly. Using the cooperative production theory and the classical grounded theory， a qualitative analysis was conducted on 38 cases of elderly palliative care and 25 cases of hospital-based palliative care under the integrated elderly care and medical services model from a hospital in Nanning City using Nvivo 20.0 software. This paper found that the integrated elderly care and medical services mode emphasized the deep integration of medical and elderly care services by integrating resources and improving service efficiency， to achieve the basic experience of comprehensive health care for the elderly. The promotion of these experiences has a positive significance for building a multi-agent cooperative production system， strengthening personnel training， perfecting the performance distribution mechanism， and further promoting the development of the national palliative care pilot.

Objective: To map the research hotspots, developmental trends, and existing challenges in the integration of artificial intelligence (AI) with multi-omics in traditional Chinese medicine (TCM) through comprehensive bibliometric analysis. Methods: China National Knowledge Infrastructure (CNKI), Wanfang Data, China Science and Technology Journal Database (VIP), Chaoxing Journal Database, PubMed, and Web of Science were searched to collect literature on the theme of AI in TCM multi-omics research from the inception of each database to December 31, 2024. Eligible records were required to simultaneously address AI, TCM, and multi-omics. Quantitative and visual analyses of publication growth, core authorship networks, institutional collaboration patterns, and keyword co-occurrence were performed using Microsoft Excel 2021, NoteExpress v4.0.0, and Cite Space 6.3.R1. AI application modes in TCM multi-omics research were also categorized and summarized. Results: A total of 1 106 articles were enrolled (932 Chinese and 174 English). Publication output has increased continuously since 2010 and accelerated after 2016. Region-specific collaboration clusters were identified, dominated by Beijing University of Chinese Medicine, China Academy of Chinese Medical Sciences, Shanghai University of Traditional Chinese Medicine, and Nanjing University of Chinese Medicine. Keyword co-occurrence analysis revealed that current AI applications predominantly centered on metabolomics and algorithms such as cluster analysis and data mining. Research foci mainly ranked as follows: single herbs, herbal formulae, and disease-syndrome differentiation. Conclusion Machine learning methods are the predominant integrative modality of AI in the realm of TCM multi-omics research at present, utilized for processing omics data and uncovering latent patterns therein. The domain of TCM, in addition to investigating omics information procured through high-throughput technologies, also integrates data on traditional Chinese medicinal substances and clinical phenotypes, progressing towards joint analysis of multi-omics, high-dimensionality of data, and multi-modality of information. Deep learning approaches represent an emerging trend in the field.

Nowadays,with the continuous deepening and development of vocational education teaching reform,medical higher vocational education always takes moral education as the fundamental task.As an independent type of education,vocational education should always deepen the integration of industry and education and the integration of science and education.Through the teaching research of"problem chain+course ideological and political case",this study innovates the coordinated education team of drug nursing curriculum,the collaborative education method and the collaborative education evaluation,and improves the teaching effect.

Objective To investigate the effect of Ophiopogonin D on lipopolysaccharide(LPS)-induced apoptosis of alveolar epithelial cells by regulating the interleukin-6(IL-6)/Janus kinase 2(JAK2)/signal transducer and activator of transcription 3(STAT3)signaling pathway.Methods A549 AT Ⅱ cells cultured in vitro were randomly divided into four groups:control group,LPS group,LPS+Ophiopogonin D group,LPS+Ophiopogonin D+colivelin(JAK2/STAT3 signal activator)group,except for the control group,and cells in all other groups were established injury models while being grouped with Ophiopogonin D and colivelin for treatment.Cell counting kit-8(CCK-8)experiment and flow cytometry were applied to detect cell proliferation and apoptosis in each group;Western blotting was applied to detect the expression of IL-6/JAK2/STAT3 signaling pathway proteins of cells in each group.Results The apoptosis rates of A549 cells in control group,LPS group,LPS+Ophiopogonin D group and LPS+Ophiopogonin D+colivelin group were(2.52±0.73)％,(52.43±4.14)％,(1.67±0.52)％and(47.94±3.43)％;IL-6 protein levels were 0.14±0.03,0.49±0.05,0.17±0.04 and 0.45±0.06,and p-JAK2/JAK2 protein levels were 0.17±0.04,0.64±0.08,0.19±0.06 and 0.61±0.07;p-STAT3/STAT3 protein levels were 0.20±0.06,0.69±0.10,0.22±0.07 and 0.65±0.09;the apoptosis rates of AT Ⅱ cells were(3.01±0.69)％,(55.16±3.94)％,(2.35±0.71)％and(50.28±3.78)％;the levels of IL-6 protein were 0.11±0.03,0.87±0.13,0.19±0.04 and 0.84±0.12;the p-JAK2/JAK2 protein levels were 0.13±0.04,0.56±0.08,0.15±0.03 and 0.53±0.07;p-STAT3/STAT3 protein levels were 0.30±0.08,0.79±0.14,0.33±0.09 and 0.75±0.13.The above indexes:control group,LPS+Ophiopogonin D group compared with LPS group,LPS+Ophiopogonin D+colivelin group compared with LPS+Ophiopogonin D group,the differences were statistically significant(all P＜0.05).Conclusion Ophiopogonin D can reduce LPS induced inflammation and oxidative stress levels by inhibiting the activation of IL-6/JAK2/STAT3 signaling pathway,ultimately reducing LPS-induced apoptosis of alveolar epithelial cells.

BACKGROUND:Previous literature reported that the fusion cage moved more than 2 mm from its original position,which means that the fusion cage moved backward.At present,clinical observation has found that the factors leading to the displacement of the fusion cage are complex,and the relationship between these factors and the cage retropulsion is not clear. OBJECTIVE:To explore the risk factors related to cage retropulsion after lumbar interbody fusion. METHODS:Retrospective analysis was conducted in 200 patients who underwent transforaminal lumbar interbody fusion surgery with a polyetheretherketone interbody fusion from February 2020 to February 2022.According to the distance from the posterior edge of the vertebral fusion cage to the posterior edge of the vertebral body after the operation(the second day after the removal of the drainage tube)and 1,3,6 and 12 months after the operation,patients were divided into cage retropulsion group(≥2 mm)and cage non-retropulsion group(<2 mm).The factors that may affect cage retropulsion,such as age,gender,body mass index,bone mineral density,operation time,bleeding,endplate injury,preoperative and postoperative interbody height,cage implantation depth,cage size,and segmental anterior convexity angle,were analyzed by univariate and logistic regression analysis. RESULTS AND CONCLUSION:(1)Posterior displacement of the fusion cage occurred in 15 cases(15/200).The differences in basic information such as age and body mass index between the two groups were not statistically significant.(2)The results of the univariate analysis were that gap height difference,time to wear a brace,segmental anterior convexity angle difference,bone mineral density,and age were related to posterior migration of the cage.(3)The results of logistic regression analysis were that cage size,endplate injury condition,and depth of cage implantation were risk factors for cage retropulsion.(4)These findings suggest that cage retropulsion after lumbar interbody fusion is caused by multiple factors,including segmental anterior convexity angle difference,bone mineral density,cage size,endplate damage,time to wear a brace,and depth of cage implantation.

Objective:To explore the prognostic value of MUC13 expression in gastric cancer(GC)patients and its impact on the biological behavior of GC cells.Methods:Comprehensive anal-ysis of the expression pattern of MUC genes in GC tissues based on the TCGA database to screen for differentially expressed genes.Spearman correlation analysis determined the correlation of ex-pression between MUC genes in GC tissues.Gene Ontology(GO)functional enrichment analysis and Kyoto Encyclopedia of Genes and Genomes pathway(KEGG)enrichment analysis were used to explore the potential biological functions of MUC genes.Univariate COX regression analysis was performed to explore the relationship between all differentially expressed MUC genes and the prog-nosis of GC patients to screen out MUC genes that were significantly related to the prognosis of GC.Clinical GC tissue samples were used to further verify the expression of MUC13 through im-munofluorescence,and its relationship with the clinicopathological characteristics and prognosis of GC was analyzed.siRNA was used to silence the expression of MUC13 in GC cells,and the effect of MUC13 on cell proliferation,migration and invasion was analyzed through CCK-8,colony forma-tion and Transwell experiments.Results:Among all MUC members,the expression levels of MUC1,MUC2,MUC3A,MUC4,MCU5B,MUC12,and MUC13 were significantly upregulated in GC tissues(P＜0.05).There are certain interactions between these MUC genes,and they are mainly en-riched in pathways related to digestive system processes,epithelial structure maintenance,apical plasma membrane,saliva secretion,etc.Importantly,upregulation of MUC13 in GC tissues indicates poor patient prognosis(Log-rank P＜0.05).In addition,MUC13 expression was significantly correlat-ed with the age(P＜0.001)of GC patients and tumor size(P=0.035).Further cell function experiments showed that after silencing MUC13,the proliferation ability of GC cells was significantly reduced(P＜0.05),while their migration and invasion abilities were not significantly affected(P＞0.05).Con-clusions:Highly expressed MUC13 is closely related to the poor prognosis of gastric cancer,par-ticipates in the regulation of tumor progression and is a potential therapeutic target and prognostic marker for gastric cancer.

Objective: To investigate the prevalence of depressive symptoms among college freshmen and analyze their influencing factors, so as to provide insights into the prevention and intervention of depressive symptoms among college students. Methods: The freshmen enrolled in a college of Hunan Province from 2020 to 2022 were recruited, and demographic data, diet and sleep status were collected using questionnaire surveys. Depressive symptoms were evaluated using Patient Health Questionnaire-9. Factors affecting depressive symptoms were analyzed using a multivariable logistic regression model. Results: Totally 17 862 questionnaires were allocated, and 16 480 valid questionnaires were recovered, with an effective rate of 92.26%. There were 3 374 students of 2020 cohort, 7 038 students of 2021 cohort and 6 068 students of 2022 cohort, 6 029 boys (36.58%) and 10 451 girls (63.42%). The prevalence of depressive symptoms among freshmen was 41.37%. Multivariable logistic regression analysis showed that female (OR=1.482, 95%CI: 1.377-1.594), enrolling through the college entrance examination (OR=1.561, 95%CI: 1.384-1.809), depression history (OR=1.990, 95%CI: 1.513-2.618), abnormal marital status of parents (divorced, OR=1.197, 95%CI: 1.064-1.348; other problem, OR=1.401, 95%CI: 1.174-1.672), abnormal diet (mild, OR=2.883, 95%CI: 2.585-3.105; moderate, OR=6.755, 95%CI: 4.653-9.808; severe, OR=38.897, 95%CI: 12.200-124.012) and abnormal sleep (mild, OR=2.785, 95%CI: 2.593-2.992; moderate, OR=9.009, 95%CI: 7.011-11.578; severe, OR=29.281, 95%CI: 14.163-60.536) were associated with increased risk of depressive symptoms among college freshmen. Conclusion The prevalence of depressive symptoms among college freshmen is relatively high, and is influenced by gender, mode of admission, history of depression, parental marital status, diet and sleep.

Nanozymes, a groundbreaking discovery by Chinese scientists, represent a novel and remarkable property of nanomaterials. They not only exhibit catalytic activity comparable to natural enzymes, but also boast exceptional stability, tunable reactivity, and the ability to catalyze reactions under mild conditions. The identification of nanozymes has unveiled the biocatalytic potential of inorganic nanomaterials. In parallel, inorganic minerals have long been regarded as pivotal catalysts in the origin of life, driving the synthesis of early biomolecules. These minerals not only facilitate redox reactions that convert simple inorganic compounds into organic molecules but also enable chiral selection, the synthesis of biomacromolecules, and radioprotective functions via their surface structures. Recent advances suggest that inorganic nanomaterials can delicately catalyze the formation of biomolecules, aid in macromolecular assembly, and provide radiation shielding. Furthermore, nanominerals are found in abundance across Earth and extraterrestrial environments. This paper seeks to explore the potential of nanozymes as catalytic agents in the processes that gave rise to life, integrating the catalytic roles of inorganic minerals with the unique attributes of nanozymes, which will provide a new perspective for research of origin of life.

ObjectiveTriple-negative breast cancer (TNBC) is the breast cancer subtype with the worst prognosis, and lacks effective therapeutic targets. Colony stimulating factors (CSFs) are cytokines that can regulate the production of blood cells and stimulate the growth and development of immune cells, playing an important role in the malignant progression of TNBC. This article aims to construct a novel prognostic model based on the expression of colony stimulating factors-related genes (CRGs), and analyze the sensitivity of TNBC patients to immunotherapy and drug therapy. MethodsWe downloaded CRGs from public databases and screened for differentially expressed CRGs between normal and TNBC tissues in the TCGA-BRCA database. Through LASSO Cox regression analysis, we constructed a prognostic model and stratified TNBC patients into high-risk and low-risk groups based on the colony stimulating factors-related genes risk score (CRRS). We further analyzed the correlation between CRRS and patient prognosis, clinical features, tumor microenvironment (TME) in both high-risk and low-risk groups, and evaluated the relationship between CRRS and sensitivity to immunotherapy and drug therapy. ResultsWe identified 842 differentially expressed CRGs in breast cancer tissues of TNBC patients and selected 13 CRGs for constructing the prognostic model. Kaplan-Meier survival curves, time-dependent receiver operating characteristic curves, and other analyses confirmed that TNBC patients with high CRRS had shorter overall survival, and the predictive ability of CRRS prognostic model was further validated using the GEO dataset. Nomogram combining clinical features confirmed that CRRS was an independent factor for the prognosis of TNBC patients. Moreover, patients in the high-risk group had lower levels of immune infiltration in the TME and were sensitive to chemotherapeutic drugs such as 5-fluorouracil, ipatasertib, and paclitaxel. ConclusionWe have developed a CRRS-based prognostic model composed of 13 differentially expressed CRGs, which may serve as a useful tool for predicting the prognosis of TNBC patients and guiding clinical treatment. Moreover, the key genes within this model may represent potential molecular targets for future therapies of TNBC.

OBJECTIVE To clarify the components of volatile oil in branches and leaves of Rhododendron anthopogonoides, Rhododendron capitatum, Rhododendron thymifolium and Rhododendron przewalskii. METHODS The total volatile oil in leaves and branches of these plants were obtained by supercritical CO2 extraction. After that, the chemical composition of the total volatile oil was analyzed and identified by GC-MS, and the contents of different parts and varieties were compared. RESULTS The results showed that the highest oil yield of leaves was Rhododendron thymifolium(6.97%), and the highest oil yield of branches was Rhododendron anthopogonoides(20.53%). Thirty-five, eighty, fifty-eight and forty compounds were detected in the branch oil of Rhododendron anthopogonoides, Rhododendron capitatum, Rhododendron thymifolium and Rhododendron przewalskii respectively, among which Rhododendron capitatum was rich in compounds. Forty-eight, fifty-seven, sixty-two and fifty compounds were detected in the leaf oil, among which the compounds of Rhododendron anthopogonoides were the richest. Among the detected components, squalene(34.92%, 26.90%) was the highest content in the branches and leaves of Rhododendron anthopogonoides. 1-Eicosanol(26.79%) was the highest content in the branch oil of Rhododendron capitatum, and octadecyl acetate(42.32%) was the highest content in the leaf oil. The highest content of bisabola-3,10-diene-2-one(34.66%, 28.20%) was found in the branches and leaves of Rhododendron thymifolium, and 15-oxoETE(38.20%, 40.40%) was the highest content in the branches and leaves of Rhododendron przewalskii. The results showed that the contents of oil in branches and leaves of Rhododendron capitatum were quite different in different parts. In the comparison of different varieties, the compounds with the highest content of four rhododendrons were all different. CONCLUSION According to the difference of the content of active components of different rhododendrons and parts, the appropriate species and parts for purposeful development and utilization should be selected. The research results can provide scientific basis for rational development and utilization of Rhododendron resources.