ObjectiveTo investigate the value of different noninvasive diagnostic models in the diagnosis of esophageal and gastric varices since there is a high risk of esophageal and gastric varices in patients with compensated hepatitis B cirrhosis and significant portal hypertension， and to provide a basis for the early diagnosis of esophageal and gastric varices. MethodsA total of 108 patients with significant portal hypertension due to compensated hepatitis B cirrhosis who attended Guangdong Provincial Hospital of Traditional Chinese Medicine from November 2017 to November 2023 were enrolled， and according to the presence or absence of esophageal and gastric varices under gastroscopy， they were divided into esophageal and gastric varices group （GOV group） and non-esophageal and gastric varices group （NGOV group）. Related data were collected， including age， sex， imaging findings， and laboratory markers. The chi-square test was used for comparison of categorical data between groups； the least significant difference t-test was used for comparison of normally distributed continuous data between groups， and the Mann-Whitney U test was used for comparison of non-normally distributed continuous data between groups. The receiver operating characteristic （ROC） curve was plotted to evaluate the diagnostic value of five scoring models， i.e.， fibrosis-4 （FIB-4）， LOK index， LPRI， aspartate aminotransferase-to-platelet ratio index （APRI）， and aspartate aminotransferase/alanine aminotransferase ratio （AAR）. The binary logistic regression method was used to establish a combined model， and the area under the ROC curve （AUC） was compared between the combined model and each scoring model used alone. The Delong test was used to compare the AUC value between any two noninvasive diagnostic models. ResultsThere were 55 patients in the GOV group and 53 patients in the NGOV group. Compared with the NGOV group， the GOV group had a significantly higher age （52.64±1.44 years vs 47.96±1.68 years， t=0.453， P<0.05） and significantly lower levels of alanine aminotransferase ［42.00 （24.00 — 17.00） U/L vs 82.00 （46.00 — 271.00） U/L， Z=-3.065， P<0.05］， aspartate aminotransferase ［44.00 （32.00 — 96.00） U/L vs 62.00 （42.50 — 154.50） U/L，Z=-2.351， P<0.05］， and platelet count ［100.00 （69.00 — 120.00）×10⁹/L vs 119.00 （108.50 — 140.50）×10⁹/L， Z=-3.667， P<0.05］. The ROC curve analysis showed that FIB-4， LOK index， LPRI， and AAR used alone had an accuracy of 0.667， 0.681， 0.730， and 0.639， respectively， in the diagnosis of esophageal and gastric varices （all P<0.05）， and the positive diagnostic rates of GOV were 69.97%， 65.28%， 67.33%， and 58.86%， respectively， with no significant differences in AUC values （all P>0.05）， while APRI used alone had no diagnostic value （P>0.05）. A combined model （LAF） was established based on the binary logistic regression analysis and had an AUC of 0.805 and a positive diagnostic rate of GOV of 75.80%， with a significantly higher AUC than FIB-4， LOK index， LPRI， and AAR used alone （Z=-2.773，-2.479，-2.206， and-2.672， all P<0.05）. ConclusionFIB-4， LOK index， LPRI， and AAR have a similar diagnostic value for esophageal and gastric varices in patients with compensated hepatitis B cirrhosis and significant portal hypertension， and APRI alone has no diagnostic value. The combined model LAF had the best diagnostic efficacy， which provides a certain reference for clinical promotion and application.

ObjectiveTo divide the muscle into different subzones according to different density ranges using the stratified analysis on the basis of myosteatosis， and to investigate the effect of muscle density changes on complications （Clavien-Dindo grade ≥Ⅲ） after orthotopic liver transplantation （OLT）. MethodsA retrospective analysis was performed for the medical records of 145 patients who underwent OLT in The First Hospital of Jilin University from May 2013 to September 2020， and with the plain CT scan images of the largest level of lumbar 3 vertebrae of each patient as the original data， Neusoft Fatanalysis software was used to measure related muscle parameters. The independent-samples t test was used for comparison of normally distributed continuous data between two groups， and the Mann-Whitney U test was used for comparison of non-normally distributed continuous data between two groups. The chi-square test or Fisher test was for comparison of categorical data between two groups. RIAS software was used to extract clinical features and perform analysis and modeling， and three machine learning models of logistic regression （LR）， support vector machine （SVM）， and random forest （RFC） were constructed. The receiver operating characteristic （ROC） curve， the calibration curve， and the decision curve were plotted for each model to calculate the area under the ROC curve （AUC）， sensitivity， specificity， precision， F1 score， and accuracy. ResultsThe three machine learning models of LR-C， SVM-C， and RFC-C were established based on the 7 clinical features before muscle stratification analysis， among which the RFC-C model had an AUC of 0.803， a sensitivity of 0.588， and a specificity of 0.778 in the test set. Among the models of LR-CS， SVM-CS， and RFC-CS established based on the 16 clinical features after muscle stratification analysis， the LR-CS and SVM-CS models had an AUC of 0.852 in the test set， with a sensitivity of 0.765 and 0.706， respectively， and a specificity of 0.889 and 0.926， respectively. Comparison of the AUC， sensitivity， specificity， precision， F1 score， and accuracy of each model in the test set before and after muscle stratification analysis showed that there were improvements in the parameters of the predictive model after muscle stratification analysis. Comparison of the decision curves and calibration curves of each predictive model showed that the LR-CS and SVM-CS models had good efficacy in predicting postoperative complications （Clavien-Dindo grade≥Ⅲ） in OLT patients. ConclusionOn the basis of myosteatosis， the division of the muscle into different subzones according to different densities using the stratified analysis has a certain value in predicting postoperative complications in patients with OLT.

Objective: To investigate the indoor fine particulate matter (PM 2.5 ) pollution and its influencing factors in children s bedrooms using solid fuel, so as to provide evidence for effective strategy to reduce PM 2.5 pollution. Methods: From December 2019 to November 2020, 198 households (108 in the north, 90 in the south) from two pilots in the north(Jiamusi in Heilongjiang Province) and south of China (Mianyang in Sichuan Province) were selected, and status of solid fuels using were obtained through home visits, dynamic changes in PM 2.5 concentrations in children s bedrooms were monitored by using real time online instruments, and the influencing factors of PM 2.5 pollution were analyzed by using a mixed effects model. Results: During the monitoring period, the daily PM 2.5 concentrations in the northern and southern pilot were 78.33 (40.50, 154.80) and 38.54(26.20, 58.46) μg/m 3, respectively, exceeding standard rates of 44.57% and 33.22%. During the heating period, the daily PM 2.5 concentrations in the northern and southern pilot were 212.50(133.60,244.10) and 104.42(73.97, 134.90) μg/m 3, respectively, with over standard rates of 96.75% and 86.96%. The mixed effects model analysis results showed that children s bedroom PM 2.5 concentrations were associated with solid fuel usage duration, window opening time, room layout (shared entrance door between kitchen and bedroom), indoor smoking, indoor humidity, and solid fuel use in the bedroom ( β =0.19, -0.05, 1.20, 0.43, 0.02, 0.35, all P <0.05). Conclusion Solid fuel combustion significantly comtributes to PM 2.5 pollution in children s bedrooms, with more pronounced impacts observed in northern China compared to southern regions.

OBJECTIVE: To investigate the effect of zedoarondiol on neovascularization of atherosclerotic (AS) plaque by exosomes experiment. METHODS: ApoE^-/- mice were fed with high-fat diet to establish AS model and treated with high- and low-dose (10, 5 mg/kg daily) of zedoarondiol, respectively. After 14 weeks, the expressions of anti-angiogenic protein thrombospondin 1 (THBS-1) and its receptor CD36 in plaques, as well as platelet activation rate and exosome-derived miR-let-7a were detected. Then, zedoarondiol was used to intervene in platelets in vitro, and miR-let-7a was detected in platelet-derived exosomes (Pexo). Finally, human umbilical vein endothelial cells (HUVECs) were transfected with miR-let-7a mimics and treated with Pexo to observe the effect of miR-let-7a in Pexo on tube formation. RESULTS: Animal experiments showed that after treating with zedoarondiol, the neovascularization density in plaques of AS mice was significantly reduced, THBS-1 and CD36 increased, the platelet activation rate was markedly reduced, and the miR-let-7a level in Pexo was reduced (P<0.01). In vitro experiments, the platelet activation rate and miR-let-7a levels in Pexo were significantly reduced after zedoarondiol's intervention. Cell experiments showed that after Pexo's intervention, the tube length increased, and the transfection of miR-let-7a minics further increased the tube length of cells, while reducing the expressions of THBS-1 and CD36. CONCLUSION Zedoarondiol has the effect of inhibiting neovascularization within plaque in AS mice, and its mechanism may be potentially related to inhibiting platelet activation and reducing the Pexo-derived miRNA-let-7a level.
Animals ; MicroRNAs/genetics* ; Exosomes/drug effects* ; Plaque, Atherosclerotic/genetics* ; Neovascularization, Pathologic/genetics* ; Human Umbilical Vein Endothelial Cells/metabolism* ; Humans ; Blood Platelets/drug effects* ; Apolipoproteins E/deficiency* ; Thrombospondin 1/metabolism* ; CD36 Antigens/metabolism* ; Platelet Activation/drug effects* ; Male ; Mice ; Mice, Inbred C57BL

The aryl hydrocarbon receptor (AhR) plays a crucial role in regulating many physiological processes. Activating the AhR-CYP1A1 axis has emerged as a novel therapeutic strategy against various inflammatory diseases. Here, a practical in situ cell-based fluorometric assay was constructed to screen AhR-CYP1A1 axis modulators, via functional sensing of CYP1A1 activities in live cells. Firstly, a cell-permeable, isoform-specific enzyme-activable fluorogenic substrate for CYP1A1 was rationally constructed for in-situ visualizing the dynamic changes of CYP1A1 function in living systems, which was subsequently used for discovering the efficacious modulators of the AhR-CYP1A1 axis. Following screening of a compound library, LAC-7 was identified as an efficacious activator of the AhR-CYP1A1 axis, which dose-dependently up-regulated the expression levels of both CYP1A1 and AhR in multiple cell lines. LAC-7 also suppressed macrophage M1 polarization and reduced the levels of inflammatory factors in LPS-induced bone marrow-derived macrophages. Animal tests showed that LAC-7 could significantly mitigate DSS-induced ulcerative colitis and LPS-induced acute lung injury in mice, and markedly reduced the levels of multiple inflammatory factors. Collectively, an optimized fluorometric cell-based assay was devised for in situ functional imaging of CYP1A1 activities in living systems, which strongly facilitated the discovery of efficacious modulators of the AhR-CYP1A1 axis as novel anti-inflammatory agents.

As an essential trace element,copper has major effects on cell metabolism.Therefore,interfering with the balance of copper metabolism in such a way that leads to copper deficiency or excess causes disease.It has been reported that copper metabolic imbalance,or cuproptosis,affects the development of cardiovascular diseases by mediating cellular oxidative stress and vascular remodeling and by interfering with mitochondrial functions.Importantly,copper che-lators,copper ion carriers,small molecule inhibitors of copper chaperones,and dietary copper can alleviate cardiovascu-lar diseases caused by copper metabolic imbalance or cuproptosis.In this review,we comprehensively considered the mo-lecular mechanisms of copper metabolic homeostasis and cuproptosis,as well as their significance and therapeutic advances in cardiovascular diseases,aiming to provide insights on therapeutically targeting copper metabolic homeostasis and cupro-ptosis as a novel strategy for managing cardiovascular diseases.

The regulatory role of pericoronary adipose tissue(PC AT)in cardiovascular diseases is of paramount im-portance.PCAT exerts extensive pathophysiological effects on the cardiovascular system by secreting various bioactive substances,such as adipokines and cytokines.Currently,the attenuation value of PCAT can be detected via coronary computed tomography angiography(CCTA),a method that not only reflects the level of vascular inflammation but also holds significant clinical value in the detection and prognostic assessment of coronary heart disease plaques.Therefore,this article reviews the pathophysiological mechanisms of PCAT and its clinical significance in coronary heart disease.

Severe acute pancreatitis(SAP)is a critical condition in general surgery settings,characterized by high mortality and poor prognosis.On February 28,2024,the Department of Hepatobiliary Surgery at the First Affiliated Hospital of Harbin Medical University admitted a 36-year-old male patient.The patient presented with"upper abdominal pain accompanied by fever for three months and jaundice of the skin and sclera for one week."Physical examination revealed 11 puncture tubes,and a palpable mass measuring 3 cm × 5 cm in the upper abdomen.Enhanced CT and magnetic resonance cholangiopancreatography indicated acute pancreatitis.The patient was diagnosed with"SAP,infectious pancreatic necrosis,and biliary stenosis."He had severe abdominal infection and complex postoperative complications,making treatment challenging.Consequently,a multidisciplinary team(MDT)consultation was initiated.After three rounds of MDT consulfation and freating,the patient ultimately recovered successfully and was discharged.This article reviews the MDT treatment process for this patient and summarizes the characteristics of this condition based on relevant literature to provide insights and experience for clinical practice.

Objective To observe the inter-observer consistency of diameter of inferior vena cava(IVC)and IVC collapsibility index(IVCCI)measured and assessed with echocardiography and the correlations with right heart parameters in patients with right heart dysfunction.Methods Forty-seven patients with right heart dysfunction were prospectively recruited in observation group,while 50 adults with normal right heart function were taken as controls(control group).Parameters of the right heart were obtained with echocardiography,including the right ventricular fractional area change(FAC),the tricuspid annular plane systolic excursion(TAPSE),the myocardial performance index(MPI),the tricuspid annular systolic velocity(S')as well as early and late diastolic velocity(e',a')and e'/a' ratio,also the tricuspid valve orifice early and late diastolic velocities(E,A)and E/A ratio and E/e',the vena contracta width of tricuspid regurgitation(TR-VCW),the maximum velocity of tricuspid regurgitation(TR-Vmax),the pulmonary artery systolic pressure(PASP)and right atrial area(RAA).Besides,the maximal and minimal diameter of IVC(IVCDmax,IVCDmin)during the respiratory cycle were measured with two dimensional(2D)ultrasound and anatomical M-mode ultrasound,respectively,and the IVCCI were calculated.Then 20 subjects were randomly selected from each group,and IVC parameters were obtained.The basic data,right heart parameters and IVC parameters were compared between groups,intra-class correlation coefficient(ICC)between 2 sonographers of IVC parameters were calculated,and correlations between IVC parameters and right heart parameters were assessed.Results No significant differences of gender,age nor body mass index(BMI)was detected between groups(all P＞0.05).Compared with those in control group,MPI,e',e'/a',E,A,E/e',TR-VCW,TR-Vmax,PASP and RAA increased,whereas FAC,TAPSE,S'and a'decreased in observation group(all P＜0.05).The inter-observer consistencies were good for IVCDmax and IVCCI in observation group(ICC=0.787-0.971)and IVCDmax in the control group(ICC=0.971,0.964)obtained with 2D ultrasound and anatomical M-mode ultrasound,but poor for IVCCI in control group(ICC=0.169,0.456).Compared with those in control group,IVC parameters 2D-IVCDmax,2D-IVCDmin,M-IVCDmax and M-IVCDmin increased but 2D-IVCCI and M-IVCCI decreased in observation group(all P＜0.05).In control group,2D-IVCDmax was weakly negatively correlated with TAPSE and a'(r=-0.392,-0.364),weakly positively correlated with e'/a',E,E/A,TR-VCW and RAA(r=0.396,0.483,0.461,0.565,0.582),2D-IVCCI was weakly negatively correlated with TR-VCW and RAA(r=-0.386,-0.380),while M-IVCDmax was weakly negatively correlated with TAPSE(r=-0.384),and weakly positively correlated with e'/a',E,E/A,TR-VCW and RAA(r=0.357,0.453,0.473,0.549,0.550),M-IVCCI was weakly negatively correlated with MPI,E,TR-VCW and RAA(r=-0.347,-0.337,-0.475,-0.421).Conclusion In patients with right heart dysfunction,IVCD diameter and IVCCI obtained with echocardiography had good inter-observer consistencies.Parameters obtained with 2D ultrasound and anatomic M-mode ultrasound had certain relations with the right heart parameters.

Objective To observe the value of artificial intelligence(AI)models based on non-contrast chest CT for measuring bone mineral density(BMD).Methods Totally 380 subjects who underwent both non-contrast chest CT and quantitative CT(QCT)BMD examination were retrospectively enrolled and divided into training set(n=304)and test set(n=76)at a ratio of 8∶2.The mean BMD of L1-L3 vertebrae were measured based on QCT.Spongy bones of T5-T10 vertebrae were segmented as RO1,radiomics(Rad)features were extracted,and machine learning(ML),Rad and deep learning(DL)models were constructed for classification of osteoporosis(OP)and evaluating BMD,respectively.Receiver operating characteristic curves were drawn,and area under the curves(AUC)were calculated to evaluate the efficacy of each model for classification of OP.Bland-Altman analysis and Pearson correlation analysis were performed to explore the consistency and correlation of each model with QCT for measuring BMD.Results Among ML and Rad models,MLBagging OP and RadBagging-OP had the best performances for classification of OP.In test set,AUC of MLBagging-OP,RadBagging-op and DLOP for classification of OP was 0.943,0.944 and 0.947,respectively,with no significant difference(all P＞0.05).BMD obtained with all the above models had good consistency with those measured with QCT(most of the differences were within the range of(x)±1.96s),which were highly positively correlated(r=0.910-0.974,all P＜0.001).Conclusion AI models based on non-contrast chest CT had high efficacy for classification of OP,and good consistency of BMD measurements were found between AI models and QCT.