Objective:To investigate the correlation between the expression of GLI1 and im-mune invasion and clinical prognosis in gastric cancer.To study the effect of GLI1 expression on drug resistance in gastric cancer.Methods:The expression difference of GLI1 in gastric cancer and normal tissues was analyzed by using TCGA database,and the effect of clinical features and GLI1 gene ex-pression level on prognosis of patients with gastric cancer was analyzed.The correlation between GLI1 gene expression and tumor immune cell infiltration in gastric cancer tissues was analyzed to explore its influence on drug resistance of chemotherapy drugs and targeted drugs.Clinical samples were collect-ed to analyze the difference of GLI1 expression in gastric cancer and paracancer tissues.Results:The expression of GLI1 in gastric cancer tissues was 1.7 times that in normal tissues,and the overall sur-vival and disease-free survival of patients with high expression are shorter than those with low ex-pression(P＜0.05).The interstitial score,immune score and abundance of immunoinfiltrating cells were higher in the high expression of GLI1 in gastric cancer tissues.High expression of GLI1 reduces drug sensitivity and is positively correlated with the expression of immune checkpoint markers PDCD1(P＜0.05).GLI1 expression was significantly increased in patients with subdifferentiated gastric cancer.Conclusions:GLI1 expression is associated with the prognosis and immune infiltration of patients with gastric cancer,and it may lead to poor prognosis of patients by regulating chemotherapy resis-tance,which may be a potential therapeutic target and molecular marker for gastric cancer.

Objective To retrieve,evaluate and summarize the best evidence of early mobilization in awake patients on extracorporeal membrane oxygenation,and to provide a reference for clinical practice.Methods UpToDate,BMJ Best Practice,Registered Nurses'Association of Ontario,National Guideline Clearinghouse,National Institute for Health and Care Excellence,Yimaitong,Joanna Briggs Institute Library,Cochrane Library,CINAHL,PubMed,SinoMed,CNKI,Wanfang Database,Vip Database and Extracorporeal Life Support Organization Website were researched to collect the literature,including clinical guidelines,expert consensuses,evidence summaries,systematic reviews,and well-designed original studies.The time limit for retrieval was until June 2023.The quality of literature and the level of evidence were evaluated by the evaluation criteria and evidence grading system of J BI Evidence-Based Health Care Center.Results 14 pieces of the literature were included,including 2 clinical guidelines,4 expert consensuses,5 systematic reviews,2 cohort studies and 1 case series.Totally 33 pieces of evidence were summarized,covering 7 aspects:adaptation conditions for the implementation of awake ECMO,team composition,comprehensive assessment,pre-mobilization preparation,mobilization content,prevention and control of adverse events,and effect evaluation.Conclusion The study summarizes the best evidence of early mobilization in awake patients on extracorporeal membrane oxygenation.It is suggested that medical institutions establish a professional team for the early mobilization of awake ECMO patients,apply the best evidence to standardize the early mobilization process,and formulate an individualized mobilization program.

3ʹ-Hydroxy-4ʹ-methoxy-2-hydroxy-5-bromochalcone (hereinafter referred to as C13) is a novel chalcone derivative obtained in the process of structural modification of DHMMF, the antitumor active compound of Resina Draconis, in our laboratory. In this study, we investigated the effects of C13 on the proliferation and apoptosis of human gastric cancer HGC-27 and AGS cells and its potential mechanism of action. Firstly, through methyl thiazolyl tetrazolium (MTT), colony formation assay, and 5-ethynyl-2'-deoxyuridine (EdU) staining, we found that C13 inhibited the proliferation ability of human gastric cancer HGC-27 and AGS cells. Using flow cytometry and Western blot, it was found that C13 induced apoptosis in human gastric cancer HGC-27 and AGS cells, and up-regulated the protein level of cleaved poly ADP-ribose polymerase (cleaved-PARP). The results of RNA sequencing analysis showed that the Erb-b2 receptor tyrosine kinase 4/phosphoinositide 3-kinases/AKT (ErbB4/PI3K/AKT) signaling pathway may be involved in anti-gastric cancer activity of C13. Finally, the results of immunoblotting assay showed that C13 treatment down-regulated the protein levels of ErbB4 and phospho-ErbB4, as well as down-regulated the phosphorylation levels of PI3K and AKT in human gastric cancer HGC-27 and AGS cells, which verified the results from RNA-seq analysis. In conclusion, C13 inhibited the proliferation and induced apoptosis of human gastric cancer cells, which may be related to the down-regulation of ErbB4/PI3K/AKT signaling pathway. This study may provide a candidate drug for the treatment of gastric cancer.

Objective This study employs the Geographically and Temporally Weighted Regression(GTWR)model to assess the impact of meteorological elements and imported cases on dengue fever outbreaks,emphasizing the spatial-temporal variability of these factors in border regions. Methods We conducted a descriptive analysis of dengue fever's temporal-spatial distribution in Yunnan border areas.Utilizing annual data from 2013 to 2019,with each county in the Yunnan border serving as a spatial unit,we constructed a GTWR model to investigate the determinants of dengue fever and their spatio-temporal heterogeneity in this region. Results The GTWR model,proving more effective than Ordinary Least Squares(OLS)analysis,identified significant spatial and temporal heterogeneity in factors influencing dengue fever's spread along the Yunnan border.Notably,the GTWR model revealed a substantial variation in the relationship between indigenous dengue fever incidence,meteorological variables,and imported cases across different counties. Conclusion In the Yunnan border areas,local dengue incidence is affected by temperature,humidity,precipitation,wind speed,and imported cases,with these factors'influence exhibiting notable spatial and temporal variation.

Objective To identify the factors associated with frailty in lung transplant patients by a meta-analysis.Methods Computerized search was performed for studies on the influencing factors of frailty in lung transplant patients in the CNKI,WanFangData,VIP,CBM,PubMed,Web of Science,Embase,Elsevier ScienceDirect and CINAHL databases.The search was conducted from the time of database construction to November 2023.Literature screening,quality assessment,and data extraction were performed independently by 2 investigators,and Meta-analysis was performed using Stata 17.0 software.Results 10 cohort studies,including 1 999 patients,were finally included,and 13 influencing factors were extracted,including advanced age(OR=1.05),female(OR=2.50),BMI(OR=0.38),diagnosis of primary pulmonary disease(OR=2.90),6MWD(OR=0.34),and lung allocation score(OR=0.69),FVC(OR=0.60),pre-transplant frailty(OR=0.81),hypoproteinemia(OR=4.12),hemoglobin(OR=0.50),anemia(OR=4.37),length of ICU stay(OR=1.24),and total length of stay(OR=1.05).Short Physical Performance Battery is an assessment tool for frailty in lung transplant patients,with an incidence of frailty in 24％before transplantation and 50％in post-transplantation.Fried Frailty Phenotype is an assessment tool for frailty in lung transplant patients,with a pre-transplant frailty incidence of 30％.Conclusion There are many factors involved in the incidence of frailty in lung transplant patients,and nursing staff should dynamically evaluate the frailty of lung transplant patients,and give individualized and precise interventions in combination with a multidisciplinary model to improve or delay the progression of frailty.

Objective To evaluate the effect of remote interventions with digital health technologies in lung transplant patients.Methods Databases,including CKNI,Wangfang,VIP,CMB,Cochrane Library,PubMed,Embase,Web of Science,Scopus and BMJ Best Practice were searched from their inception to July 2023.There were 2 researchers who independently screened and extracted the literature,and then evaluated quality of the included studies.Meta-analysis was performed using RevMan 5.2.Results 10 studies with 1 262 patients were included.The results of meta-analysis showed that compared with conventional intervention,remote intervention based on digital health technology could improve self-monitoring compliance of lung transplant patients[0R=0.64,95％CI(0.46,0.88),P=0.006],improve quality of life including mental health status[OR=3.08,95％CI(0.41,5.74),P=0.020]and physical health status[OR=3.81,95％CI(1.19,6.43),P=0.004].In terms of the intervention forms,the application-based remote intervention had better self-monitoring compliance,and the difference was statistically significant(P=0.007).However,in terms of the comparison of readmission rate[OR=1.73,95％CI(0.98,3.04),P=0.060],anxiety[OR=-0.12,95％CI(-1.36,1.11),P=0.850],and depression[OR=0.62,95％CI(-0.80,2.03),P=0.390],the effect of intervention was unclear.Conclusion Remote intervention based on digital health technology can improve self-monitoring compliance and quality of life in lung transplant patients;applications are the optimal form of intervention.Limited by the quality and quantity of included studies and the heterogeneity of study results,more high-quality studies are needed to further verify the effects of digital health technology on readmission rates,anxiety and depression of lung transplant patients.

Objective To investigate the incidence and risk factors of post-transplant diabetes mellitus(PTDM)in adult lung transplant recipients.Methods Conducting a convenience sampling method,we retrospectively analyzed the clinical data of lung transplant recipients from January 2020 to December 2022 at a tertiary A hospital in Hangzhou,Zhejiang Province.According to the PTDM diagnostic criteria,lung transplant recipients are divided into a PTDM group and a non-PTDM group.The incidence rate of PTDM is calculated,and the influencing factors for PTDM occurrence are analyzed using both univariate and multivariate logistic regression methods.Results A total of 140 patients were included in this study,and 54 lung transplant recipients developed PTDM within 6 months,with an incidence of 38.57％.Univariate analysis showed that there were significant differences in age,gender,BMI,smoking history,pre-operative glycated albumin,pre-operative fasting blood glucose,early post-operative blood glucose and pre-operative creatinine between the 2 groups(P＜0.05).Multivariate Logistic analysis showed that gender(OR=5.283),BMI(OR=6.122),pre-operative glycated albumin(OR=1.330),and early post-operative blood glucose(0R=1.444)were the influencing factors.Conclusion Lung transplant recipients who were male,BMI ≥24.0,with high levels of glycated albumin before surgery,and high blood sugar early after surgery had a higher risk of developing PTDM.Clinical nurses can formulate relevant nursing measures according to the influencing factors to prevent the occurrence of PTDM.

ObjectiveTranscription factor NFE2 was observed abnormal expression in myeloproliferative neoplasm (MPN) patients. However, how NFE2 is transcriptionally regulated remains ambiguous. This study aims to explore the elements and molecular mechanisms involved in the transcriptional regulation of NFE2. MethodsActive enhancers were predicted by public NGS data and conformed experimentally via dual luciferase reporter assay. After that, PRO-seq and GRO-seq data was used to detect enhancer RNAs transcribed from these enhancers. RACE was utilized to clone the full length enhancer RNA (eRNA) transcripts, and RT-qPCR was used to measure their expression in different leukemia cell lines as well as the transcript levels during induced differentiation. Finally, to investigate the molecular function of the eRNA, overexpression and knockdown of the eRNA via lentivirus system was performed in K562 cells. ResultsWe identified three enhancers regulating NFE2 transcription, which located at -3.6k, -6.2k and +6.3k from NFE2 transcription start site (TSS) respectively. At the -3.6k enhancer, we cloned an eRNA transcript and characterized that as a lncRNA which was expressed and located in the nucleus in three types of leukemia cell lines. When this lncRNA was overexpressed, expression of NFE2 was upregulated and decreases of K562 cell proliferation and migration ability were observed. While knocking down of this lncRNA, the level of NFE2 decreases correspondingly and the proliferation ability of K562 cells increases accordingly. ConclusionWe identified an enhancer lncRNA that regulates NFE2 transcription positively and suppresses K562 cell proliferation.

Osteosarcoma is a common primary malignant bone tumor in adolescents and children,characterized by a high recurrence rate and metastasis,making its treatment extremely challenging.Traditional treatment modalities,including surgery,radiation therapy,and chemotherapy,can alleviate symptoms to some extent,but improving long-term survival rates remains a pressing issue.With the continuous development of immunotherapy,breakthroughs have been made in the research of tumor immune microenvironment and the application of immunotherapy in recent years,providing new perspectives and strategies for osteosarcoma treatment.Currently,immunotherapy strategies include tumor vaccines,targeted cytokines,immune checkpoint inhibition,adoptive cell therapy,combination therapy,etc.,significantly enhancing patient immune responses from the aspects of boosting immunity,overcoming immune tolerance,and preventing immune evasion,thereby effectively improving the patients'survival rates and prognosis.This review aims to systematically introduce the immune microenvironment of osteosarcoma and discuss the latest advances in immunotherapy in clinical translational research of osteosarcoma.By deeply understanding the immune characteristics of osteosarcoma and corresponding treatment methods,it is hopeful to provide more effective strategies for personalized treatment,contributing to the improvement of the patients' survival rates and prognosis.

Purpose::Cerebral edema (CE) is the main secondary injury following traumatic brain injury (TBI) caused by road traffic accidents (RTAs). It is challenging to be predicted timely. In this study, we aimed to develop a prediction model for CE by identifying its risk factors and comparing the timing of edema occurrence in TBI patients with varying levels of injuries.Methods::This case-control study included 218 patients with TBI caused by RTAs. The cohort was divided into CE and non-CE groups, according to CT results within 7 days. Demographic data, imaging data, and clinical data were collected and analyzed. Quantitative variables that follow normal distribution were presented as mean ± standard deviation, those that do not follow normal distribution were presented as median (Q 1, Q 3). Categorical variables were expressed as percentages. The Chi-square test and logistic regression analysis were used to identify risk factors for CE. Logistic curve fitting was performed to predict the time to secondary CE in TBI patients with different levels of injuries. The efficacy of the model was evaluated using the receiver operator characteristic curve. Results::According to the study, almost half (47.3%) of the patients were found to have CE. The risk factors associated with CE were bilateral frontal lobe contusion, unilateral frontal lobe contusion, cerebral contusion, subarachnoid hemorrhage, and abbreviated injury scale (AIS). The odds ratio values for these factors were 7.27 (95% confidence interval ( CI): 2.08 -25.42, p = 0.002), 2.85 (95% CI: 1.11 -7.31, p = 0.030), 2.62 (95% CI: 1.12 -6.13, p = 0.027), 2.44 (95% CI: 1.25 -4.76, p = 0.009), and 1.5 (95% CI: 1.10 -2.04, p = 0.009), respectively. We also observed that patients with mild/moderate TBI (AIS ≤ 3) had a 50% probability of developing CE 19.7 h after injury (χ 2= 13.82, adjusted R2 = 0.51), while patients with severe TBI (AIS > 3) developed CE after 12.5 h (χ 2= 18.48, adjusted R2 = 0.54). Finally, we conducted a receiver operator characteristic curve analysis of CE time, which showed an area under the curve of 0.744 and 0.672 for severe and mild/moderate TBI, respectively. Conclusion::Our study found that the onset of CE in individuals with TBI resulting from RTAs was correlated with the severity of the injury. Specifically, those with more severe injuries experienced an earlier onset of CE. These findings suggest that there is a critical time window for clinical intervention in cases of CE secondary to TBI.