Objective:To investigate the relationship between lean lipid accumulation product (LAP) and metabolic associated fatty liver disease (MAFLD).Methods:This cross-sectional study consecutively enrolled 1 990 adult subjects who underwent health examinations at the Second Affiliated Hospital of Xi′an Jiaotong University between June 2021 and May 2023. All recruited participants had a body mass index (BMI)<23 kg/m2. Data collection included general information, physical examination, serum biochemical parameter measurements, and liver ultrasonography. Participants were divided into four groups (Q1-Q4) according to quartiles value of LAP from low to high. The differences of biochemical parameters and the prevalence of lean MAFLD were compared among the groups. Logistic regression, restricted cubic spline (RCS) and receiver operating characteristic (ROC) curve analysis were used to explore the relationship between LAP and lean MAFLD and assess the diagnostic predictive value of LAP for lean MAFLD.Results:A total of 1990 participants were selected, and the detection rate of lean MAFLD was 4.97% (99 cases). The detection rate of lean MAFLD showed a significant increasing trend from Q1 to Q4 groups ( P<0.001) and respectively was 0.40%, 0.81%, 4.01% and 14.70%. The average age, male proportion, BMI and waist circumference significantly increased in a dose-response manner from Q1 to Q4 (all P<0.001). Indirect bilirubin, alanine aminotransferase, aspartate aminotransferase, γ-glutamyltranspeptidase, alkaline phosphatase, total cholesterol, triglycerides, low-density lipoprotein, serum uric acid, fasting blood glucose, fatty liver index, fibrosis-4 index and every metabolic syndrome component in groups Q2 to Q4 were significantly higher than in the Q1 group, while high-density lipoprotein levels gradually decreased (all P<0.05). RCS showed that the risk of lean MAFLD rose significantly with the increase of LAP ( P<0.005), presenting a nonlinear relationship between them ( P for nonlinear<0.001). Logistic regression analysis revealed that after adjusting other confounding factors, the risk of lean MAFLD in the Q4 group remained 4.75 times higher than that in the Q1 group (95% CI: 11.22-31.69, P<0.05). ROC curve demonstrated that LAP had a better predictive value for lean MAFLD than BMI and waist circumference, with area under the curve of 0.839, critical value of 19.59, diagnostic sensitivity of 82.8% and specificity of 75.1%. Conclusions:Elevated LAP is independently and positively correlated with the risk of lean MAFLD, and its predictive efficacy is significant superior to traditional obesity indicators.

Cognitive decline is one of the most common adverse symptoms following acute high-altitude exposure(AHAE).MRI can reveal the structural and functional changes in brain caused by AHAE,thereby deeply understanding the specific mechanism of its cognitive decline,which is of great significance for early prevention and intervention.Research progresses on MRI assessment of cognitive function after AHAE and related intervention methods were reviewed in this article.

Objective To construct a prediction model for the risk of peripherally inserted central venous catheter(PICC)-related bloodstream infection(CRBSI)in preterm infants,and evaluate the effect of the model.Methods 1 295 preterm infants admitted to the neonatal intensive care unit(NICU)in a hospital and received PICC intrave-nous infusion from January 2019 to October 2023 were selected as the study subjects,including 1 080 preterm in-fants from January 2019 to December 2022 in the modeling set and 215 premature infants from January to October 2023 in the validation set.Risk factors of cases were analyzed based on 24 clinical characteristics,optimized charac-teristics was selected by LASSO regression,independent risk factors for CRBSI of preterm infants during PICC in-dwelling period were identified by multiple logistic regression analysis,and nomogram model was constructed with R software.Discrimination and fitting of the model were evaluated by the area under the curve(AUC)of the receiver operating characteristic(ROC)as well as Hosmer-Lemeshow test and calibration curve,and clinical practicality of the model was evaluated by decision curve analysis(DCA).Results Multivariate logistic analysis showed that birth weight ≥1 500 g,sterile protection during catheter maintenance,and sterile cloth wrapped joints were protective factors for CRBSI during PICC indwelling period in preterm infants(OR=0.172,0.187,0.063,respectively,all P＜0.05),while puncture frequency＞2 times,catheter indwelling period＞14 days,and use of tees were inde-pendent risk factors for CRBSI during PICC indwelling period in premature infants(OR=2.533,14.128,13.256,respectively,all P＜0.05).The AUC of ROC of the modeling set was 0.953(95％CI:0.936-0.969),and that of the validation set was 0.930(95％CI:0.885-0.974),indicating good discriminability of the model.The calibra-tion curve and Hosmer-Lemeshow goodness of fit test showed that the model had good accuracy and consistency,with high net profit value,indicating that the predictive value of the model was high and with good clinical practica-lity.The statistical test result in the rationality analysis of the model was P＜0.001.Conclusion The nomogram model based on the general clinical characteristics of preterm infants as well as the basic prevention and control measures of the catheter can provide a visual and simple evaluation tool for early identification of high risk factors for CRBSI in preterm infants.

Objective To construct a quality control model for cervical liquid-based thin cell smears using two different artificial intelligence(AI)techniques and to compare the total use of the two methods to improve the level of quality control of cervical liquid-based thin cell smears through the assistance of hybrid AI.Methods In this study,105 cervical liquid-based thin cell smear samples were used.Convolutional neural network(CNN)algorithm and Transformer network algorithm were used as specific AI algorithms in the AI model.The labeled features included the number of cells in the slice,excessive red blood cells,excessive inflammatory cells,and air bubbles.The smear samples were pre-processed and digitized by smear,followed by image segmentation and feature extraction.Using the labeled feature data,machine learning models were trained and optimized.Statistical AI and physician QC results were analyzed by calculating KAPPA index,sensitivity,specificity,area under the curve(AUC),and other indexes for AI QC results.Results CNN algorithm QC results in normal smear,inflammatory background and bloody background were significantly different from the expert review QC results(P＜0.001).Transformer algorithm QC results were similar to the expert review results,with no statistical difference(P＞0.05).General practitioner QC results were statistically different from the expert review QC results in normal smear detection rate and bloody background(P＜0.001).CNN algorithm Kappa value was 0.567,which had medium consistency with expert review results.Transformer algorithm Kappa value was 0.890,with the best consistency with expert review results.General practitioner Kappa value was 0.675,which had better consistency with expert review results.Using the expert review results as a reference standard,the predictive efficacy of the Transformer algorithm and the general practitioners' QC results was evaluated,and the predictive efficacy of the Transformer algorithm was higher than that of the general practitioners in detecting hemorrhagic backgrounds and normal smears(inflammatory backgrounds:AUC=1.000;normal smears:AUC=0.768)(hemorrhagic backgrounds:AUC=0.849;normal smears:AUC=0.849;normal smear:AUC=0.500).Conclusion In this study,we found that the Transformer algorithm was effective in improving the quality control of cervical liquid-based thin-layer cell smears by assisting doctors to perform smear quality control scoring and improving the efficiency and accuracy of smear sample quality control.It can be used as a new quality control method for cervical cancer cytological screening and has potential clinical applications.

Objective:To strengthen the management of low-value consumables in public hospitals by introducing the Supply Processing Distribution(SPD)management model,and to explore refined operational management strategies and path optimization for low-value consumables.Methods:The SPD management model was introduced,and the entire process of hospital consumables was refinedly managed using third-party supply chain information management platforms,visualized tertiary department warehouses,Radio Frequency Identification(RFID)technology and intelligent cabinet systems,Unique Device Identification(UDI)coding,"four-code integration"and other supporting technologies.Results:Based on the analysis of the current situation in the target Hospital,specific measures related to the management of low-value consumables were introduced after the introduction of the SPD model.Conclusion:It provides a reference and guidance for the hospital's medical consumables management department to promote refined management of medical consumables under the SPD model.

ObjectiveTo analyze the diversity and structural characteristics of microbial communities in the rhizosphere soil of healthy and diseased Andrographis paniculata and to explore the interactions of soil， plants， and microorganisms during the occurrence of diseases. MethodsThe physicochemical properties of the rhizosphere soil of healthy and diseased A.paniculata were determined， and the composition and diversity of bacterial and fungal communities in the rhizosphere soil were analyzed by Illumina high-throughput sequencing. Furthermore， the correlations between physicochemical properties and microorganisms of the rhizosphere soil were explored. ResultsThe content of total nitrogen， total potassium， and available potassium in the rhizosphere soil of diseased A. paniculata was significantly higher than that of healthy A. paniculata. The alpha diversity and richness （operational taxonomic units） of bacterial and fungal communities in the rhizosphere soil of diseased plants decreased compared with those of healthy plants. The microbial communities in the rhizosphere soil of healthy and diseased A. paniculata showed similar composition but different relative abundance. At the phylum level， the relative abundance of Proteobacteria and Chytridiomycota significantly increased， while that of Bacteroidota significantly decreased in the rhizosphere soil of diseased plants. At the genus level， the relative abundance of Sphingomonas， Pseudomonas， and Bryobacter significantly increased， while that of RB41 showed a significant decrease in the rhizosphere soil of diseased plants. The correlation analysis showed different correlations of microbial phyla with physicochemical properties of the rhizosphere soil between healthy and diseased plants. Organic matter， alkaline nitrogen， available phosphorus， and total potassium were correlated with the relative abundance of some dominant bacterial and fungal phyla in the rhizosphere soil of healthy plants， while available nitrogen and total phosphorus were correlated with the relative abundance of some dominant bacterial and fungal phyla in the rhizosphere soil of diseased plants. ConclusionThere are differences in the diversity and richness of microbial communities in the rhizosphere soil of healthy and diseased A. paniculata. The physicochemical properties of soil may have an impact on the rhizosphere microorganisms of A. paniculata， leading to the development of diseases. The results provide a scientific basis for the prevention and ecological management of A. paniculata diseases.

ObjectiveTo analyze the diversity and structural characteristics of microbial communities in the rhizosphere soil of healthy and diseased Andrographis paniculata and to explore the interactions of soil， plants， and microorganisms during the occurrence of diseases. MethodsThe physicochemical properties of the rhizosphere soil of healthy and diseased A.paniculata were determined， and the composition and diversity of bacterial and fungal communities in the rhizosphere soil were analyzed by Illumina high-throughput sequencing. Furthermore， the correlations between physicochemical properties and microorganisms of the rhizosphere soil were explored. ResultsThe content of total nitrogen， total potassium， and available potassium in the rhizosphere soil of diseased A. paniculata was significantly higher than that of healthy A. paniculata. The alpha diversity and richness （operational taxonomic units） of bacterial and fungal communities in the rhizosphere soil of diseased plants decreased compared with those of healthy plants. The microbial communities in the rhizosphere soil of healthy and diseased A. paniculata showed similar composition but different relative abundance. At the phylum level， the relative abundance of Proteobacteria and Chytridiomycota significantly increased， while that of Bacteroidota significantly decreased in the rhizosphere soil of diseased plants. At the genus level， the relative abundance of Sphingomonas， Pseudomonas， and Bryobacter significantly increased， while that of RB41 showed a significant decrease in the rhizosphere soil of diseased plants. The correlation analysis showed different correlations of microbial phyla with physicochemical properties of the rhizosphere soil between healthy and diseased plants. Organic matter， alkaline nitrogen， available phosphorus， and total potassium were correlated with the relative abundance of some dominant bacterial and fungal phyla in the rhizosphere soil of healthy plants， while available nitrogen and total phosphorus were correlated with the relative abundance of some dominant bacterial and fungal phyla in the rhizosphere soil of diseased plants. ConclusionThere are differences in the diversity and richness of microbial communities in the rhizosphere soil of healthy and diseased A. paniculata. The physicochemical properties of soil may have an impact on the rhizosphere microorganisms of A. paniculata， leading to the development of diseases. The results provide a scientific basis for the prevention and ecological management of A. paniculata diseases.

Objective To investigate whether there exist differences in the improvement of left ventricular diastolic function between angiotensin receptor-neprilysin inhibitor(ARNI)and angiotensin-converting enzyme inhibitor(ACEI)/angiotensin receptor blocker(ARB)in patients with hypertensive heart disease(HHD).Methods A retrospective cohort study was conducted on the HHD patients admitted in Department of Cardiovascular Diseases of our hospital from January 2021 to December 2024.The general information,echocardiographic parameters before and after treatment,and results of routine tests were collected.Finally,517 HHD patients were subjected,including 117 receiving ARNI treatment(ARNI group)and 400 getting ACEI/ARB treatment(ACEI/ARB group).A 1∶1 propensity score matching(PSM)was performed with a caliper value of 0.02,resulting in 89 matched cases for each group.Electrocardiography was performed to assess left ventricular diastolic dysfunction(LVDD),with various parameters,including left atrial volume index,early diastolic peak velocity at the interventricular septal portion of mitral annulus(septal e'),early diastolic peak velocity at the lateral wall portion of mitral annulus(lateral e'),tricuspid regurgitation velocity,and E/e'.These parameters were followed up and reassessed during the treatment period.Kaplan-Meier survival curve was plotted to compare the incidence of LVDD between the 2 groups.Multivariable logistic regression model was employed to identify the risk factors contributing to LVDD.Results The median follow-up time was 412(309,736)d in the whole cohort,and was 409(300,729)d for the patients after PSM.Kaplan-Meier survival analysis demonstrated that the incidence of LVDD was lower in the ARNI group than the ACEI/ARB group both before and after PSM(P<0.05).After treatment,the ARNI group obtained lower lateral e'[8.00(7.00,9.40)vs 9.00(7.10,10.30)cm/s,P<0.001],thinner left ventricular posterior wall thickness[12.20(10.80,12.80)vs 12.30(11.20,12.90)mm,P<0.048]when compared with the ACEI/ARB group.After adjusting for confounding factors,multivariable logistic regression analysis revealed that advanced age(OR=1.082,P<0.001),increased systolic blood pressure(OR=1.009,P=0.005),thicker left ventricular posterior wall thickness(OR=1.462,P<0.001),left atrial enlargement(OR=1.081,P<0.001),and use of calcium channel blocker(OR=1.548,P=0.006)were independent risk factors for LVDD,and positively correlated with the risk of LVDD.While,male(OR=0.709,P=0.043)and BMI(OR=0.933,P=0.006)were protective factors,which were negatively correlated with LVDD risk.Conclusion In HHD patients,ARNI is superior to ACEI/ARB in reducing the incidence of LVDD.

Objective Investigate the expression level of discs large homolog associated protein 5(DLGAP5)in oral squamous cell carcinoma(OSCC)and analyze its effects on cell proliferation,migration,invasion capacity,and the Warburg effect.Methods Bioinformatics analysis was performed to identify the potential therapeutic targets for OSCC.A total of 72 OSCC tissue samples and 40 adjacent non-cancerous tissue samples collected in the First Affiliated Hospital of Shihezi University from 2013 to 2024 were included,and the clinical pathological and prognostic data were collected from patients.Immunohistochemistry assay was applied to detect the protein expression of DLGAP5,and its association with clinical pathological features was analyzed.Kaplan-Meier survival curve was plotted for survival analysis,and Cox regression model was employed to analyze the prognostic factors.The expression of DLGAP5 at mRNA and protein levels was detected in HOK,SCC-9,SCC-15,SCC-25,and CAL-27 cell lines with RT-qPCR and Western blotting,respectively.Four small interfering RNAs(siRNAs)were designed to target the DLGAP5 sequence,and then based on the transfection efficiency,the sequence with optimal silencing effect was selected for subsequent functional studies.After DLGAP5 was silenced in the CAL-27 and SCC-15 cells,Western blotting was applied to detect the expression of hexokinase 2(HK2)and enolase 1(ENO1),CCK-8,scratch healing and Transwell assays were conducted to assess cell proliferation,migration,and invasion capabilities,and glucose,lactate,and ATP detection kits were utilized to determine the glycolytic metabolic levels in OSCC cells.Results Bioinformatics analysis indicates that DLGAP5 is a potential key therapeutic target for OSCC.Experimental validation demonstrated that DLGAP5 was highly expressed in both OSCC tissues and cells(P<0.05).Analysis of clinical pathology and prognostic data revealed that DLGAP5 expression level was significantly correlated with tumor TNM stage,lymph node metastasis,and differentiation grade in OSCC patients,and high DLGAP5 expression was associated with poor prognosis(P<0.05).DLGAP5 silencing resulted in significantly reduced expression of HK2 and ENO1,markedly decreased levels of glycolytic metabolites(P<0.05),and notably declined cell proliferation,migration,and invasion capabilities(P<0.05).Conclusion DLGAP5 is highly expressed in OSCC.Silencing DLGAP5 may inhibit OSCC cell proliferation,migration,and invasion by indirectly regulating the Warburg effect,and the molecule is associated with poor prognosis in the OSCC patients.

Five meroterpenoids, rhodonoids K-M (1-2), daurichromene E (3), and grifolins A-B (4-5), together with seven known compounds (6-12), were isolated from Rhododendron anthopogonoides. The chemical structures of these compounds were elucidated through comprehensive analysis of high-resolution electrospray ionization mass spectrometry (HR-ESI-MS), ultraviolet (UV), infrared spectroscopy (IR), and nuclear magnetic resonance (NMR) data. Their absolute configurations were determined by comparing experimental electronic circular dichroism (ECD) spectra with computed values. Notably, compounds 1 and 3 demonstrated significant inhibitory effects on lipopolysaccharide (LPS)-induced inflammation in RAW264.7 cells. These compounds markedly suppressed the mRNA expressions of inflammatory factors, including interleukin (IL)-1β, IL-6, and tumor necrosis factor-α (TNF-α) while also down-regulating the protein expressions of inducible nitric oxide synthase (iNOS) and cyclooxygenase-2 (COX-2).
Mice ; Rhododendron/chemistry* ; Animals ; Anti-Inflammatory Agents/isolation & purification* ; RAW 264.7 Cells ; Terpenes/isolation & purification* ; Molecular Structure ; Tumor Necrosis Factor-alpha/immunology* ; Cyclooxygenase 2/immunology* ; Nitric Oxide Synthase Type II/immunology* ; Macrophages/immunology* ; Interleukin-6/immunology* ; Lipopolysaccharides ; Interleukin-1beta/immunology*