In view of the few studies on the influence of Armillaria spp. infection on the content of the chemical components in different parts of Polyporus umbellatus sclerotia, this study determined the biomass of P. umbellatus sclerotia and the contents of ergosterol, polyporusterone A, polyporusterone B and polysaccharide in the separated cavity wall of the sclerotia and the uninfected part of the sclerotia in different harvesting years under the conditions of A. gallica and A. mellea infection respectively. According to the difference of content and dynamic changes of the polysaccharide and the steroid substances, the superior Armillaria sp. was screened to obtain the best harvest years of P. umbellatus. Using HPLC and UV-VIS spectrophotometry methods, the contents of ergosterol, polyporusterone A, polyporusterone B and polysaccharide in P. umbellatus sclerotia infected by the two Armillaria spp. in different years were determined. In addition, the differentially expressed genes related to P. umbellatus polysaccharide synthesis were screened according to the transcriptomic data of different parts of P. umbellatus after A. mellea infection. With the increase of years, the biomass of sclerotia infected by different Armillaria spp. had significant differences, and there were significant differences in the four components of sclerotia. The four components of the separated cavity wall of the sclerotia were significantly higher than those of the uninfected part. The best harvest time was the third year after cultivation. Transcriptomic analysis showed that the infection of Armillaria spp. could significantly promote polysaccharide synthesis, which provided a basis for polysaccharide content determination at the molecular level. The study clarified the influence of different Armillaria spp. infection on the accumulation of chemical components of P. umbellatus sclerotia, laying a foundation for exploring the symbiosis mechanism and provided a scientific clue for screening superior Armillaria sp. and guiding the artificial cultivation of P. umbellatus sclerotia.

Objective To investigate the relationship between asprosin(Asp)and angiopoietin-like protein 3(ANGPTL3)levels and Diabetic Peripheral Vascular diseases in type 2diabetes mellitus Disease,DPVD)to evaluate their predictive value for DPVD.Methods A total of 141 patients with type 2diabetes who met the inclusion criteria were included and divided into non-DPVD group(n=71)and DPVD group(n=70),and healthy subjects in the same period were selected as normal control group(n=37).General data and expression levels of Asp and ANGPTL3 in the three groups were compared.Spearman correlation analysis was used to explore the correlation between Asp and ANGPTL3 levels and clinical indicators,and Logistic regression was used to analyze the influencing factors of DPVD.The predictive value of serum Asp and ANGPTL3 levels to DPVD was analyzed by receiver operating characteristic curve(ROC).Results Compared with non-DPVD group,the levels of asprosin and angiopoietin-like protein 3 in DPVD group were higher(all P＜0.05).Spearman correlation analysis showed that Asp level was positively correlated with age,SBP,FBG,LDL-C and ANGPTL3(all P＜0.05).ANGPTL3 level was positively correlated with age,SBP,DBP,FBG,TC,TG,LDL-C and Asp(all P＜0.05).Age,course of disease,HbA1c,TG,LDL-C,FCP,Asp and ANGPTL3 were the influencing factors of DPVD(all P＜0.05),while course of disease,TG,Asp and ANGPTL3 were the independent influencing factors of DPVD(all P＜0.05).ROC curve results showed that Asp and ANGPTL3 levels alone predicted DPVD AUC of 0.679 and 0.706,corresponding sensitivity of 88.7％and 78.9％,specificity of 47.1％and 55.7％,respectively.The combined prediction of Asp and ANGPTL3 levels for DPVD was 0.777 AUC,80.3％sensitivity and 64.3％specificity.Conclusion Asp and ANGPTL3have certain predictive value for DPVD,and their combined predictive value is higher.

This study analyzed the burden and trends in enteric infections in China from 1990 to 2021 from a One Health perspec-tive.Data on mortality associated with enteric infections were extracted from the 2021 Global Burden of Disease(GBD)database.The analysis focused on assessing the mortality rates of enteric infectious diseases attributed to various etiologies and risk factors,along with the age and sex distribution,from 1990 to 2021.Average annual percentage change(AAPC)was used to assess the total changes in disease burden.The age-standardized mortality rate of intestinal infections in China decreased from 9.642/100 000 in 1990 to 0.439/100 000 in 2021,with an AAPC of-57.103%(95%CI:-57.118%to-57.088%).In 2021,Rotavirus,Norovirus,and Crypto-sporidium were the top three etiologies contributing to disease burden,with mortality rates of 1.020/100 000,0.040/100 000 and 0.079/100 000,respectively.A significant variation in etiology distribution was observed across age groups:Rotavirus,Shigella,and Crypto-sporidium dominated among children under 5 years of age,whereas Cryptosporidium,Norovirus,and Clostridioides difficile were more prevalent in older populations.Risk factor analysis indicated that unsafe water sources and poor sanitation accounted for 73.394%of all enteric disease-related deaths.In conclusion,the burden of enteric infections in China markedly declined from 1990 to 2021,and sig-nificant variations in the etiological spectrum and disease burden were observed across age groups.The persistent effects of unsafe wa-ter sources and poor sanitation underscore the need for targeted interventions to further decrease the burden of these diseases.Our find-ings highlight the success of public health interventions in decreasing the burden of enteric infections in China,while emphasizing the need for targeted measures to address disparities in high-risk populations and improve environmental sanitation.

Objective:To explore the relationship between depressive symptoms and stressors among post-graduates and the role of coping styles and psychological suzhi between them.Methods:A total of 775 postgradu-ates were recruited.They were assessed with the Center for Epidemiological Studies Depression Scale(CES-D),Psychological Stressors Scale of Postgraduates(PSSP),Simplified Coping Style Questionnaire(SCSQ),and Col-lege Students Psychological Suzhi Brief Mental Health Version(CSPS-B-MH).Results:The detection rate of de-pression among postgraduates was 52.0％.Postgraduate stressors were positively associated with depression(β=0.47).Coping styles played a partial mediating role in the relationship between stressors and depression in postgrad-uates,with the mediation effect accounting for 24.76％of the total effect.Psychological suzhi was shown to moder-ate the effect of stressors on depression(β=-0.07)and positive coping on depression(β=-0.05).Conclusion:Postgraduate stressors could affect depression through the mediating role of coping styles and the moderating role of psychological suzhi.

Objective:To investigate the risk factors for esophageal varices in patients with liver cirrhosis,to establish a predictive model,and to provide reasonable guidance for the prevention of early esophageal varices in patients with liver cirrhosis.Methods:A retrospective analysis was performed for 1 113 patients with liver cirrhosis who attended the hospitals in Chongqing,China from Decem-ber 2006 to May 2021.Recursive feature elimination(RFE)and four machine learning methods were used for the screening of features,and five machine learning predictive models were established by logistic regression,random forest,support vector machine(SVM),de-cision tree,and eXtreme Gradient Boosting(XGBoost).The receiver operating characteristic(ROC)curve was used to evaluate the per-formance of each model,and the model with the best performance was used to investigate the risk factors for esophageal varices in pa-tients with liver cirrhosis.SHAP plots were used to explain the impact of each risk factor on patients.Results:The XGBoost model showed the best performance in predicting the risk of esophageal varices in patients with liver cirrhosis,with an area under the ROC curve of 0.872(95%CI=0.813-0.918).SHAP plots showed that platelet count,diameter of the portal vein,cholinesterase,albumin,ala-nine aminotransferase,hemoglobin,prothrombin ratio,prothrombin time,and serum total protein were risk factors for esophageal vari-ces in patients with liver cirrhosis.Conclusion:This study shows that the XGBoost predictive model has a relatively high predictive value,and the risk factors obtained by this model have a certain guiding significance for the clinical prevention and treatment of early esophageal varices in patients with liver cirrhosis.

Objective To analyze the clinical value of plasma insulin-like factor 6(INSL6)in predicting the risk of acute aortic syndromes(AAS)and adverse outcomes.Methods A retrospective case-control trial was conducted on 194 AAS patients admitted to Department of Cardiovascular Diseases of Second Affiliated Hospital of Army Medical University between April 2021 and June 2023.Another 194 sex-,age-and BMI-matched individuals without aortic diseases were recruited from the health examination center between December 2021 and January 2024.Their plasma INSL6 level was measured with ELISA,and the general clinical data and results of some laboratory tests were collected and compared between the 2 groups.Spearman correlation analysis was used to assess the relationship between plasma INSL6 and other variables,receiver operating characteristic(ROC)curve was plotted to evaluate the diagnostic efficacy of INSL6 for AAS occurrence,multivariate conditional logistic regression model was utilized to analyze the association between plasma INSL6 and AAS onset,and Kaplan-Meier survival curve and multivariate Cox proportional hazards regression model was applied to analyze the relationship between acute-phase plasma INSL6 level and adverse prognosis in AAS patients.Results The plasma INSL6 level was significantly higher in AAS patients at acute phase than the control individuals[704.40(481.32～1 152.62)vs 141.24(107.60～163.72)pg/mL,P<0.001],but no statistical difference was observed in the level among the patients with different AAS subtypes(aortic dissection,intramural hematoma,and penetrating aortic ulcer).Spearman correlation analysis showed that the plasma INSL6 level was positively correlated with platelet count(r=0.325,P<0.001)and hemoglobin concentration(r=0.186,P=0.009),and negatively with IL-6(r=-0.182,P=0.011),INF-γ(r=-0.283,P<0.001),and D-dimer levels(r=-0.195,P=0.006).Multivariate conditional logistic regression analysis revealed that plasma INSL6 level was independently associated with the occurrence of AAS(OR=28.634,95%CI:7.267～112.820,P<0.001).ROC curve analysis further confirmed that the optimal cutoff value of plasma INSL6 in predicting AAS was 259.425 pg/mL,with a sensitivity of 95.9%and a specificity of 98.5%at this threshold.Kaplan-Meier curve analysis demonstrated that AAS patients with low INSL6 level had significantly lower cumulative survival rates(P=0.020)and event-free survival rates(P=0.004)than those with high INSL6 level(P<0.05).Multivariate COX regression analysis revealed that,after adjusting for sex,age,systolic blood pressure,ST classification,and surgical treatment,acute-phase INSL6 level was independently associated with all-cause mortality(HR:0.999,95%CI:0.999～1.000,P=0.023),AAS-related mortality(HR:0.999,95%CI:0.998～1.000,P=0.012),and composite endpoint events(HR:0.999,95%CI:0.999～1.000,P=0.026)in AAS patients during follow-up.Conclusion Plasma INSL6 level is closely associated with the occurrence and adverse prognosis of AAS,and the indicator is expected to be an effective biomarker for diagnosing AAS and predicting its prognosis.

Objective: Patients with severe symptomatic aortic stenosis are assessed for coronary artery disease (CAD) prior to transcatheter aortic valve implantation (TAVI) with treatment implications. Invasive coronary angiography (ICA) is the recommended modality but is associated with peri-procedural complications. Integrating machine learning (ML)-based computed tomography-derived fractional flow reserve (CT-FFR) into existing TAVI-planning CT protocol may aid exclusion of significant CAD and thus avoiding ICA in selected patients. Materials and Methods: A single-center, retrospective study was conducted, 41 TAVI candidates with both TAVI-planning CT and ICA performed were analyzed. CT datasets were evaluated by a ML-based CT-FFR software. Beta-blocker and nitroglycerin were not administered in these patients. The primary outcome was to identify significant CAD. The diagnostic performance of CT-FFR was compared against ICA. Results: On per-patient level, the sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV) and diagnostic accuracy were 89%, 94%, 80%, 97% and 93%, respectively. On per-vessel level, the sensitivity, specificity, PPV, NPV and diagnostic accuracy were 75%, 94%, 67%, 96% and 92%, respectively. The area under the receiver operative characteristics curve per individual coronary vessels yielded overall 0.90 (95% confidence interval 85%–95%). ICA may be avoided in up to 80% of patients if CT-FFR results were negative. Conclusion ML-based CT-FFR can provide accurate screening capabilities for significant CAD thus avoiding ICA. Its integration to existing TAVI-planning CT is feasible with the potential of improving the safety and efficiency of pre-TAVI CAD assessment.

With the rapid development of generative artificial intelligence(GAI)technologies,their widespread application in academic research and writing is continuously expanding the boundaries of sci-entific inquiry.However,this trend has also raised a series of ethical and regulatory challenges,inclu-ding issues related to authorship,content authenticity,citation accuracy,and accountability.In light of the growing involvement of AI in generating academic content,establishing an open,controllable,and trustworthy ethical governance framework has become a key task for safeguarding research integrity and maintaining trust within the academic community.This expert consensus outlines ethical requirements across key stages of AI-assisted academic writing-including topic selection,data management,citation practices,and authorship attribution.It aims to clarify the boundaries and ethical obligations surrounding AI use in academic writing,ensuring that technological tools enhance efficiency without compromising in-tegrity.The goal is to provide guidance and institutional support for building a responsible and sustainable research ecosystem.

Objective:To explore the prognosis of patients with acute aortic syndrome (AAS) in the real world and to examine the risk factors associated with poor outcomes in AAS.Methods:This is a single-center retrospective study. Patients diagnosed with AAS at Xinqiao Hospital from January 2021 to July 2023 were included. The primary endpoints were all-cause mortality and aorta-related mortality, while the secondary endpoints included stroke, myocardial infarction, secondary interventions, and readmission for any cause. Survival analysis was performed using Kaplan-Meier curves, and risk factors for primary endpoint events were analyzed using multivariate Cox regression.Results:A total of 254 AAS patients, aged (58.9±13.2) years were included in this study. There were 178 cases of aortic dissection, 69 cases of aortic intramural hematoma, and 7 cases of aortic penetrating ulcer. The median follow-up time was 545 days. Seventy-three all-cause deaths occurred among patients with AAS, including 61 aorta-related deaths; 3 strokes, 1 myocardial infarction, 9 secondary surgeries, and 35 readmissions for any cause were observed. Kaplan-Meier curve analysis demonstrated significant differences in all-cause mortality rates based on the Stanford classification, AAS disease classification, eGFR, and albumin levels (all P<0.05), and similar results were also observed in aorta-related death (all P<0.05). Multivariate Cox regression suggested that albumin<35 g/L ( HR=2.372, 95% CI 1.337-4.210, P=0.003), eGFR<90 ml·min -1·1.73 m -2 ( HR=2.457, 95% CI 1.261-4.786, P=0.008), and Stanford type A AAS ( HR=3.420, 95% CI 1.998-5.856, P<0.001) were independent risk factors for all-cause mortality in AAS patients; albumin<35 g/L( HR=2.432, 95% CI 1.295-4.570, P=0.006), eGFR<90 ml·min -1·1.73 m -2( HR=2.523,95% CI 1.243-5.122, P=0.010), and Stanford type A AAS ( HR=3.455,95% CI 1.819-6.564, P<0.001) were independent risk factors for aorta-related mortality in AAS patients. Conclusions:In the real world, the prognosis of patients with AAS remains pessimistic. Patients with type A AAS, renal dysfunction, hypoproteinemia may have a higher risk of poor prognosis.

INTRODUCTION: We aimed to understand the awareness and attitudes of elderly Southeast Asians towards telehealth services during the coronavirus disease 2019 (COVID-19) pandemic in this study. METHODS: In this qualitative study, 78 individuals from Singapore (51.3% female, mean age 73.0 ± 7.6 years) were interviewed via telephone between 13 May 2020 and 9 June 2020 during Singapore's first COVID-19 'circuit breaker'. Participants were asked to describe their understanding of telehealth, their experience of and willingness to utilise these services, and the barriers and facilitators underlying their decision. Transcripts were analysed using thematic analysis, guided by the United Theory of Acceptance Use of Technology framework. RESULTS: Of the 78 participants, 24 (30.8%) were able to describe the range of telehealth services available and 15 (19.2%) had previously utilised these services. Conversely, 14 (17.9%) participants thought that telehealth comprised solely home medication delivery and 50 (51.3%) participants did not know about telehealth. Despite the advantages offered by telehealth services, participants preferred in-person consultations due to a perceived lack of human interaction and accuracy of diagnoses, poor digital literacy and a lack of access to telehealth-capable devices. CONCLUSION Our results showed poor overall awareness of the range of telehealth services available among elderly Asian individuals, with many harbouring erroneous views regarding their use. These data suggest that public health education campaigns are needed to improve awareness of and correct negative perceptions towards telehealth services in elderly Asians.
Humans ; COVID-19/epidemiology* ; Female ; Telemedicine ; Aged ; Male ; Singapore/epidemiology* ; Qualitative Research ; Health Knowledge, Attitudes, Practice ; SARS-CoV-2 ; Aged, 80 and over ; Middle Aged ; Pandemics ; Awareness ; Asian People ; Southeast Asian People