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.

Based on commonly used acupoints in the clinical acupuncture treatment of functional dyspepsia （FD）， this study systematically analyzes the therapeutic differences and synergistic effects between local and distal point selection. It also examines the suitability of primary acupoint selection for different FD subtypes， postprandial distress syndrome （PDS） and epigastric pain syndrome （EPS）. The findings suggest that a combination of local and distal acupoints may be more appropriate as primary points for PDS， whereas local acupoints alone may be more suitable for EPS. Additionally， the study explores the impact of various factors， such as stimulation techniques， needling order， intensity or stimulation parameters， and depth， on the efficacy of acupuncture. It concludes that the intrinsic properties of acupoints are the primary determinants of therapeutic direction. Other factors mainly influence the magnitude rather than the direction of the effect. Future research may further investigate how different acupoint combinations， local versus distal， affect the treatment outcomes of FD subtypes， providing new insights for clinical acupuncture prescriptions.

Tuberculosis (TB) is a chronic infectious disease caused by Mycobacterium tuberculosis, which is primarily transmitted through the respiratory tract, and remains one of the diseases with the highest mortality rate of single-pathogen infections globally. The cell wall polysaccharides of M. tuberculosis are critical for maintaining bacterial structure, mediating pathogenesis, and enabling immune evasion. Lipoarabinomannan (LAM), a key polysaccharide component, has revolutionized non-invasive diagnostic technologies as a TB biomarker, while polysaccharide-based vaccines have emerged as innovative strategies for TB prevention. This review systematically examines the composition, subcellular distribution, and functional roles of M. tuberculosis cell wall polysaccharides in bacterial metabolism, drug resistance, and immune regulation. A particular emphasis is placed on recent advancements in LAM-based diagnostics and vaccine development. Future studies should utilize advanced technologies to precisely characterize the structural features of TB polysaccharides and explore their biological functions, providing a foundation for targeted diagnostic and therapeutic innovations. This article aims to provide reference for advancing both basic research and clinical applications related to M. tuberculosis.

Tuberculosis (TB) is a chronic infectious disease caused by Mycobacterium tuberculosis, which is primarily transmitted through the respiratory tract, and remains one of the diseases with the highest mortality rate of single-pathogen infections globally. The cell wall polysaccharides of M. tuberculosis are critical for maintaining bacterial structure, mediating pathogenesis, and enabling immune evasion. Lipoarabinomannan (LAM), a key polysaccharide component, has revolutionized non-invasive diagnostic technologies as a TB biomarker, while polysaccharide-based vaccines have emerged as innovative strategies for TB prevention. This review systematically examines the composition, subcellular distribution, and functional roles of M. tuberculosis cell wall polysaccharides in bacterial metabolism, drug resistance, and immune regulation. A particular emphasis is placed on recent advancements in LAM-based diagnostics and vaccine development. Future studies should utilize advanced technologies to precisely characterize the structural features of TB polysaccharides and explore their biological functions, providing a foundation for targeted diagnostic and therapeutic innovations. This article aims to provide reference for advancing both basic research and clinical applications related to M. tuberculosis.

Background Occupational stress is an important factor affecting the health of working population, wellness is a topic that has received much attention in recent years, and sleep quality and wellness have a certain impact on occupational stress. Objective To understand the current situation of occupational stress among locomotive engineers in in the Yangtze River Delta, explore the influence of well-being and sleep quality on occupational stress, and provide a theoretical basis for occupational stress intervention among locomotive engineers. Methods Sampling was conducted from October to December 2022 using stratified random sampling. The Chinese version of the Brief Occupational Tension Questionnaire based on the Job Demand-Control Model (JDC model), the World Health Organization 5-item Well-Being Index (WHO-5), and the Pittsburgh Sleep Quality Index (PSQI) scale were used to investigate the occupational stress, well-being, and sleep quality of locomotive engineers. Logistic regression was used to analyze the effects of sleep quality and well-being on occupational stress, and additive and multiplicative interaction models were applied to evaluate the interactive effects of well-being and sleep quality on occupational stress. Results A total of 8243 questionnaires were collected from five locomotive companies, and after excluding unqualified questionnaires, a total of 7976 questionnaires were included in the analysis. The number of locomotive engineers in the Yangtze River Delta reporting positive occupational stress was 4633 (58.09%), the number of low-level well-being was 4949 (62.05%), and the number of poor sleep quality was 4129 (51.77%). The distribution of occupational stress varied by age, length of service, region, technical level, nature of vehicle, education, per capita monthly family income, marital status, smoking, drinking, number of exercise sessions per week, quality of sleep, work shifts, and length of commute (P<0.01). The results of logistic regression showed that a lower level of occupational stress was associated with >11000 yuan per capita monthly household income (OR=0.795, 95%CI: 0.656, 0.964), high level of well-being (OR=0.477, 95%CI: 0.430, 0.528), and good sleep quality (OR=0.588, 95%CI: 0.531, 0.651); a higher level of occupational stress was associated with night shifts: 1 or fewer night shifts (OR=1.707, 95%CI: 1.312, 2.221), 2 to 3 night shifts (OR=2.649, 95%CI: 2.111, 3.325), and 4 or more night shifts (OR=2.804, 95%CI: 2.202, 3.571); a higher level of occupational stress was associated with 60 min or more commuting time (OR=1.353, 95%CI: 1.111, 1.646). Regarding interaction between poor sleep quality and low well-being on occupational stress, the relative excess risk ratio (RERI), attributable risk index (API), and synergy index (SI) were 1.451 (1.059, 1.844), 0.417 (0.327, 0.507), and 2.407 (1.787, 3.241), respectively, and the result of the multiplicative interaction was an OR of 1.546 (95%CI: 1.262, 1.893). Conclusion The prevalence of occupational stress among locomotive engineers in the Yangtze River Delta region is generally at a medium level compared with other industries. Good sleep quality reduces the risk of occupational stress to a greater extent than high well-being, and poor sleep quality and low well-being can interact and further increase the risk of occupational stress.

Objective To analyze the consistency between computer tomography angiography(CTA)and digital subtraction angiography(DSA)in evaluating the global limb anatomic staging system(GLASS)stage of patients with chronic limb-threatening ischemia(CLTI).Methods The clinical data of patients with CLTI,who were admitted to the First Affiliated Hospital of Xi'an Jiaotong University of China to receive treatment between January 2017 and December 2020,were retrospectively analyzed.Taking the DSA assessment as the gold standard,the consistency of CTA and DSA in evaluating the GLASS stage of patients with CLTI was analyzed.Results In the assessment of GLASS stage of CLTI,CTA showed strong agreement with DSA.The weighted Kappa coefficient of CTA and DSA for the staging of femoropopliteal segment was 0.798(95％CI=0.722-0.873,P＜0.01),and the weighted Kappa coefficient of CTA and DSA for the staging of infrapopliteal artery segment was 0.785(95％ CI=0.725-0.845,P＜0.0l).For the overall staging of GLASS,the weighted Kappa coefficient of CTA and DSA was 0.832(95％ CI=0.752-0.91 1,P＜0.01).All the above results indicated that a very strong consistency existed between CTA and DSA in evaluating the GLASS stage of patients with CLTI.Conclusion CTA examination of lower limb can accurately evaluate GLASS score and stage of CLTI patient's target lesions,which is helpful in diagnosing lower extremity arteriosclerosis occlusion disease as well as in assessing the technical difficulty degree of its revascularization operation.(J Intervent Radiol,2024,33:300-303)

Objective To develop and validate a deep learning model for automatic identification of liver CT contrast-enhanced phases.Methods A total of 766 patients with liver CT contrast-enhanced images were retrospectively collected.A three-phase classification model and an arterial phase(AP)classification model were developed,so as to automatically identify liver CT contrast-enhanced phases as early arterial phase(EAP)or late arterial phase(LAP),portal venous phase(PVP),and equilibrium phase(EP).In addition,221 patients with liver CT contrast-enhanced images in 5 different hospitals were used for external validation.The annotation results of radiologists were used as a reference standard to evaluate the model performances.Results In the external validation datasets,the accuracy in identifying each enhanced phase reached to 90.50%-99.70%.Conclusion The automatic identification model of liver CT contrast-enhanced phases based on residual network may provide an efficient,objective,and unified image quality control tool.

Objective To analyze the predictive value of serum levels of procalcitonin(PCT)and cytokines on the prognosis of patients with COVID-19 at admission.Methods From November 2022 to February 2023,patients diagnosed with COVID-19 who were admitted to Beijing Chest Hospital were enrolled.Chemiluminescence was used to detect serum PCT levels,and flow microsphere array was used to detect serum cytokines IL-1β,IL-2,IL-4,IL-5,IL-6,IL-8,IL-10,IL-12p70,IL-17A,IL-17F,IL-22,TNF-α,TNF-β,IFN-γ level.ICU admission,mechanical ventilation and in-hospital death were defined as poor prognosis.After excluding patients with bacterial infection,the relationship between serum PCT and cytokine levels at admission and the prognosis of COVID-19 patients was analyzed.After excluding patients with bacterial infection,the relationship between serum PCT and cytokine levels at admission and the prognosis of COVID-19 patients was analyzed.Results A total of 176 patients with complete data were included,including 134 in the PCT-normal group and 42 in the PCT-elevated group,with a median age of 71.50 years and 71.59%males.Patients in the PCT elevated-group had significantly higher rates of ICU admission(38.41%vs.13.11%,P<0.05),mechanical ventilation(76.92%vs.24.59%,P<0.001)and in-hospital mortality(38.46%vs.6.56%,P<0.001)were significantly higher than those in the PCT-normal group.Serum levels of cytokines IL-6(7.40 pg/mL vs.4.78 pg/mL,P = 0.033 4)and IL-8(10.97 pg/mL vs.5.92 pg/mL,P<0.001)were significantly higher in patients with poor prognosis than in those with good prognosis.The area under the curve for PCT,IL-6,and IL-8 to predict poor prognosis in COVID-19 patients was 0.687,0.660,and 0.746,respectively;sensitivity was 52.78%,55.17%,and 72.41%,respectively;and specificity was 81.58%,74.19%,and 74.19%,respectively,as calculated from the ROC curve.When PCT,IL-6 and IL-8 jointly predict the prognosis of COVID-19 patients,the area under the curve is 0.764,the sensitivity is 70.00%,and the specificity is 80.00%.Conclusion Serum PCT and cytokines IL-6 and IL-8 could be used as predictive markers for poor prognosis in patients with COVID-19.

Objective To study the effects of the intelligent hearing-assistive system incorporated in Nuro-tron cochlear implants(CI),including the autonomic acoustic scene recognition(ASR),intelligent strategy config-uration as well as the objective and subjective hearing improvements on recipients.Methods ① To evaluate the per-formance of the ASR matule,in a sound-proof room,the preset five kinds of test audios,including speech,noise,speech in noise,pure music(without human voice)and non-pure Music(with human voice)were played.Each type of scenes included 6 to 9 5 min test files.The prediction accuracy and scene switching times were calculated.② In order to evaluate the noise-reduction performance of the ABeam technology in the speech enhancement module,13 Nurotron? CI recipients were recruited and their speech recognition rate when ABeam was"ON"and"OFF"with noise coming from 90°,180°or 270°were tested,individually.Also,their subjective hearing feedback was evaluated through visual analogue scale(VAS)evaluation.Results The ASR module achieved high prediction performance,with prediction accuracy 99％±4％,96％±9％,94％±12％,94％±15％,92％±13％for speech,noise,noisy speech,pure music and non-pure music,respectively.The scene transation times for each individual scene were 1.1 ±0.3,1.4±0.7,1.3±0.5,1.4±0.8 and 1.3±0.5,indicating that the prediction was also stable.When noise came from the sides and behind of recipients and speech signal from the front,the adaptive dual microphone noise re-duction algorithm ABeam significantly increased the speech recognition score(SRS)in 5 dB signal-to-noise(SNR)environment(P＜0.001),with an average increase of 15.92％.Especially when the noise came from 180 degree backward,the SRS increased 28.68％when ABeam was"0N",which was significantly higher than when ABeam was"OFF"(P＜0.01).Conclusion The intelligent hearing-assistive system can help CI recipients automatically configure appropriate SPSs under different environments,improving the speech intelligibility and hearing comfort.

Objectives:To establish a comprehensive system of Cardiovascular Academic Performance Evaluation(CAPE)and rank global TOP100 medical institutions in the fields of cardiovascular diseases(CVD). Methods:CVD-related terms were extracted from Medical Subject Headings(MeSH),Embase thesaurus(EMtrees)and International Classification of Diseases(ICD)by CVD-related professionals,as well as by librarians and information professionals.Terminology databases(named as Fuwai Subject Headings)were established,and nine sub-disciplines were proposed,including ischemic heart diseases,hypertension,vascular diseases,arrhythmia,pulmonary vascular diseases,heart failure,congenital heart diseases,cardiomyopathy,and valvular heart diseases.The mapping patterns of sub-discipline,cardiovascular terminology and entry terms were pre-defined.The CVD-related research literature published from January 1,2016 to December 31,2022 were retrieved from Web of Science,PubMed and Scopus.Based on this,metadata were fused and duplicates were excluded.Fuwai Subject Headings were searched and matched into four respects for each literature,including subject words,titles,keywords,and abstracts,which was used to generate an information table of"Position—CVD terminology—Frequency",and to calculate CVD correlation scores and sub-discipline scores.We standardized the names of medical institutions and scholars,and make a ranking system for CAPE based on original articles with strong cardiovascular correlation(correlation score≥4).When evaluating the science and technological performance for Chinese hospitals in cardiovascular diseases,National Natural Science Foundation Projects,authorized invention patents,prize achievements,research platforms,and registered data of drug clinical trials in Center for Drug Evaluation(CDE)were considered besides research papers. Results:During 2016 and 2022,1 545 103 CVD research literatures were found worldwide.After excluding meeting abstracts,books,biographies,news,videos,audio texts,retracted publications,and corrections,1 178 019 CVD research literatures were further evaluated.518 058 literatures were indexed as"strongly correlated to CVD"using Fuwai Subject Headings.Besides papers,other data sources were also collected,including 11 143 CVD-related Natural Science Foundation Projects,19 382 CVD-related effective authorized invention patents,103 CVD-related national prize achievements,24 CVD-related national research platforms,and 2 084 CDE registered data of CVD-related drug clinical trials.Research teams from nine sub-disciplines reviewed and validated research literature in respective fields,and classification rules of corresponding sub-disciplines were created and improved based on their opinions.Finally,eleven individual indexes were chosen to construct CAPE system for ranking global TOP100 medical institutions in overall CVD field and TOP30 in nine sub-disciplines.From 2016 to 2022,the number of cardiovascular disease research papers published by Chinese institutes has increased by 123.5%,with a total of approximately 76.8 thousands papers published(about 30 papers per day on average),ranked the second under the United States(approximately 114.1 thousands papers).However,the proportion of papers published by the Chinese Journal Citation Reports(JCR)and the Chinese Academy of Sciences only ranked eighth in the world.In the comprehensive academic performance of original cardiovascular research papers in global hospitals from 2020 to 2022,only two Chinese medical institutions ranked in the TOP20 as evaluated by CAPE system. Conclusions:Based on multi-source data from 2016 to 2022,CAPE initiated to establish a cardiovascular academic performance evaluation system.