ObjectiveTo investigate the mechanisms by which Renshentang treats atherosclerosis （AS） in mice， focusing on the regulation of endothelial inflammatory responses mediated by transient receptor potential vanilloid subtype 1 （TRPV1）. MethodsAn AS model was established in apolipoprotein E knockout （ApoE^-/-） mice fed a high-fat diet. The mice were randomly divided into a simvastatin group （0.02 g·kg^-1·d^-1） and low-， medium-， and high-dose Renshentang groups （1.77， 3.54， 7.08 g·kg^-1·d^-1）， with 12 mice in each group. ApoE^-/- mice were fed a high-fat diet and treated simultaneously. C57BL/6J mice fed a normal diet served as the normal group （n=9）. After continuous administration for 12 weeks， mice were anesthetized and the aortas were collected. Oil Red O staining was used to observe lipid plaque formation in the aorta. Hematoxylin-eosin （HE） staining was performed to examine pathological changes in the aortic root. Immunohistochemistry was used to analyze the levels of pro-inflammatory factors tumor necrosis factor-α （TNF-α） and interleukin-1β （IL-1β）， as well as the expression of TRPV1， phosphorylated phosphoinositide 3-kinase （p-PI3K）， and phosphorylated protein kinase B （p-Akt） in the aortic root. Real-time quantitative polymerase chain reaction （Real-time PCR） was used to detect endothelial nitric oxide synthase （eNOS） mRNA expression in the aorta， and Western blot was used to detect TRPV1 protein expression. ResultsCompared with the normal group， the model group showed a significant increase in aortic plaque formation （P<0.01） and significantly elevated levels of TNF-α and IL-1β in the aortic root （P<0.01）. The expression levels of TRPV1， p-PI3K， and p-Akt were decreased （P<0.05， P<0.01）， and eNOS mRNA expression was reduced （P<0.05， P<0.01）. Compared with the model group， all Renshentang groups significantly reduced aortic plaque formation （P<0.01）， significantly decreased TNF-α and IL-1β levels （P<0.01）， and markedly increased the expression levels of TRPV1， p-PI3K， p-Akt， and eNOS mRNA （P<0.05， P<0.01）. ConclusionRenshentang may inhibit endothelial inflammation and suppress the formation of AS by increasing TRPV1 protein expression and up-regulating the PI3K/Akt/eNOS signaling pathway， which may be one of the molecular mechanisms underlying its therapeutic effect against AS.

BackgroundAdverse childhood experiences （ACEs） are strong predictors of psychopathology across the lifespan， exerting extensive adverse effects on physical and mental health during early development. While ACEs increase the risk of childhood psychopathology， sleep quality and impair cognitive function， the early neurobiological mechanisms mediating ACE-induced cognitive impairment remain unclear. ObjectiveTo explore the association between ACEs exposure and the risk of psychopathology， sleep disorders， and cognitive function， and to examine the mediating role of the putamen volume in the relationship between ACEs and cognitive function from a neurodevelopment perspective. MethodsData were obtained from the Adolescent Brain Cognitive Development （ABCD） study， comprising 10 572 children aged 9 to 10. Participants were categorized into five groups based on the cumulative score of ACEs reported by their parents and the children themselves： no-exposure group （0 types of ACEs）， the one-exposure group， the two-exposure group， the three-exposure group， and the high-risk exposure group （≥ 4 types of ACEs）. Logistic regression analysis was employed to evaluate the association between ACEs and psychopathological symptoms ［T score of the Child Behavior Checklist （CBCL） ≥ 65］. Multiple linear regression analysis was ultilized to analyze the correlations between ACEs and the scores of the Sleep Disturbance Scale for Children （SDSC）， the NIH Toolbox Cognition Battery （NIHTB-CB）， as well as the multiple structures in the cerebral cortex and subcortex. The Bootstrap method was applied to test the mediating effect of the putamen volume between ACEs and neurocognitive function. ResultsAfter adjusting for confounders， ACEs cumulative score was correlated with children's psychopathological symptoms in a dose-response manner. Compared with the no-exposed group， the high-risk exposure group had a 2.08-fold （OR=2.080， 95% CI： 1.401–3.088） increased risk of internalizing problems and a 3.13-fold （OR=3.132， 95% CI： 1.703–5.760） increased risk of externalizing problems， and the risk of conduct problems was 4.68 times that of the no-exposed group （OR=4.681， 95% CI： 2.528–8.669）. ACEs cumulative score positively predicted the total score of SDSC （β=0.080， 95% CI： 0.059–0.102）， with relatively stronger predictive effects on sleep-wake transition disorder （β=0.086， 95% CI： 0.063–0.109） and sleep onset and maintenance disorder （β=0.066， 95% CI： 0.043–0.089）. In terms of neurocognition and brain structure， ACEs cumulative score negatively predicted the overall cognitive composite score （β=-0.025， 95% CI： -0.050–-0.001）， the crystallized cognitive composite score （β=-0.035， 95% CI： -0.060–-0.010）， the volume of the left putamen nucleus （β=-0.025， 95% CI： -0.046– 0.003）， and the volume of the right putamen nucleus （β=-0.023， 95% CI： -0.044– 0.003）. The total putamen volume played a partial mediating role between ACEs and the overall cognitive composite score， the effect value was -0.002 （95% CI： -0.004–-0.001）， accounting for 7.49% of the total effect. ConclusionACEs exposure may increase the risk of psychopathological and sleep disturbances in children and may impair neurocognitive function. Reduced putamen volume may serve a potential neurobiological pathway underlying the impact of ACEs on childhood cognition. ［Funded by National Natural Science Foundation of China-Young Scientists Program （number， 82401763）； Sichuan University West China Hospital Full-time Postdoctoral Research and Development Fund Project （number， 2023HXBH084）］

China is a high-incidence region for gastric cancer globally. The disease is characterized by a high morbidity rate, low early diagnostic rate, and poor long-term outcomes, imposing a significant burden on both patients and society. Therefore, exploring the pathogenesis of gastric cancer, developing novel therapeutic strategies, and identifying new drug targets is of great importance. Telomerase expression is broadly associated with cancer cell targeting, and its up-regulation is one of the key factors driving the initiation and progression of gastric cancer. Additionally, telomerase is intricately involved in the regulation of autophagy and autophagy-associated cell death. While autophagy can induce chemoresistance, excessive autophagy may lead to cell death, which also constitutes one of the mechanisms of chemotherapy. Telomerase not only directly contributes to gastric cancer pathogenesis but also indirectly influences its development and treatment by modulating autophagy and autophagic cell death. Therefore, telomerase holds promise as a novel therapeutic target in gastric cancer.
Humans ; Stomach Neoplasms/genetics* ; Telomerase/genetics* ; Autophagy/physiology*

Objective To explore the protective effects of pretreatment with the Mongolian medicine Jiruhen Gurigumu-7(JG-7)and Guangzao Sanwei Tang(GZ-3)on myocardial ischemia-reperfusion injury(MIRI)in mice.Methods 60 male C57BL/6J mice were randomly divided into sham operation(Sham)group,model(Model)group,compound danshen drip pill(CDDP)positive control group,JG-7 group,GZ-3 group,and 12 mice in each group to establish the MIRI model,and the H9C2 cells were randomly divided into Control(normoxic)group,H/R(hypoxia 6 h reoxygenation 14 h)group,H/R+JG-7 group,H/R+GZ-3 group.The mice in each group were tested for cardiac function indexes after 30 min of ischemia,24 h and 7 d of reperfusion,TTC staining to detect infarct area after 24 h of MIRI,HE staining to detect myocardial tissue structure and cellular morphology after 24 h of MIRI,TUNEL apoptosis kit to detect apoptosis of myocardial cells after 24 h of MIRI,Masson staining to detect myocardial fibrosis after 7 d of MIRI.Blood was taken from the abdominal aorta,serum was separated,and the indexes after oxidative stress of MIRI were detected in each group of mice,and the survival rate of H9C2 cells after H/R was detected in each group by CCK-8 method.Results The results of TTC showed that JG-7 and GZ-3 reduced the infarct area after 24 h of MIRI in mice.ELISA and kit assays proved that JG-7 and GZ-3 reduced creatine phosphokinase isoenzyme(Creatinekinase-MB,CK-MB),Lactic dehydrogenase(LDH),malondialdehyde(MDA)levels,and increased superoxide dismutase(SOD)levels.HE staining showed that JG-7 and GZ-3 improved myocardial pathology after MIRI 24 h.The results of TUNEL apoptosis assay showed that JG-7 and GZ-3 improved apoptosis in myocardial tissues 24 h after MIRI.Masson staining results showed that JG-7 and GZ-3 could reduce the area of myocardial tissue fibrosis after MIRI 7 d.CCK-8 assay results showed that JG-7 and GZ-3 could improve the cell survival rate after H/R in H9C2 cells.Conclusion Pre-treatment with Mongolian medicine Jiruhen Gurigumu-7 and Guangzao Sanwei Tang can reduce the damage caused after ischemia-reperfusion(I/R),decrease the area of myocardial infarction and fibrosis after I/R in mice,and protect the heart.

Objective To construct and validate a prediction model for urosepsis in patients after upper urinary tract stone surgery using various machine learning algorithms.Methods A total of 7 464 upper urinary tract stone patients who underwent surgery at the Sixth Affiliated Hospital of Guangxi Medical University from Jun.2018 to Jun.2023 were enrolled and randomly assigned to training(5 224 cases)or validation sets(2 240 cases)at a ratio of 7∶3.Among them,622(8.33%)cases developed urosepsis postoperatively.Six machine learning algorithms,including extreme gradient boosting(XGBoost),logistic regression,light gradient boosting machine(LightGBM),random forest(RF),adaptive boosting(AdaBoost),and gradient boosting decision tree(GBDT),were used to construct prediction models for postoperative urosepsis.The model's predictive ability and clinical benefits were evaluated using receiver operating characteristic(ROC)curves,Shapley additive explanation(SHAP)analysis,calibration curves,and decision curve analysis(DCA).Results The clinical features included body mass index(BMI),number of surgeries,heart rate,Barthel index,venous thrombo embolism(VTE)risk assessment,gender,American Society of Anesthesiologists(ASA)grade,urinary nitrite,and urinary leukocyte in the models.In the training set,the XGBoost,LightGBM,and RF models performed excellently,with area under curve(AUC)values of ROC curves reaching 1.00.In the validation set,the logistic regression model performed the best,with an AUC value of ROC curve of 0.76,showing good predictive stability and calibration.The AdaBoost and GBDT models followed with AUC values of 0.74 and 0.75,respectively,while the AUC values of the LightGBM,XGBoost,and RF models were 0.71,0.70,and 0.68.In terms of model interpretability,SHAP analysis showed the contribution of variables in a descending order as:heart rate,urinary leukocytes,gender,BMI,Barthel index,VTE risk assessment,urinary nitrite,number of surgeries,and ASA grade.Conclusion A logistic regression model for early risk prediction of postoperative urosepsis in upper urinary tract stone patients has been successfully constructed.This model has good predictive performance and calibration,and can effectively assist clinical diagnosis.

Objective:To investigate the key genetic mutations during the progressive disease (PD) /leukemic transformation (LT) course in MDS by analyzing the dynamic changes of genetic mutations in patients with myelodysplastic neoplasms (MDS) with or without PD/LT.Methods:This study enrolled 84 patients with sequential MDS from May 2019 to August 2023 at ZhongDa Hospital Southeast University and used the next generation sequencing to detect gene mutations. The dynamic changes of genetic mutations in patients with MDS with or without PD/LT were retrospectively analyzed.Results:①This study analyzed data from 84 patients diagnosed with MDS with a median age of 63 (range: 31-95) years and consisting of 51 males and 33 females. Participants were distributed to the PD cohort ( n=20), LT cohort ( n=13), and non-PD/LT cohort ( n=51). Patients from the PD/LT cohorts demonstrated a higher proportion of bone marrow blasts than the non-PD/LT cohort at the first sequencing (1.6% vs. 0.4%, P=0.013). ②The most frequently mutated genes that were detected at first sequencing were ASXL1 ( n=21, 25.0%), TP53 ( n=17, 20.2%), TET2 ( n=12, 14.3%), DNMT3A ( n=11, 13.1%), and U2AF1 ( n=11, 13.1%). Further, patients from the PD/LT cohorts exhibited a higher median number of mutated genes than the non-PD/LT cohort (2 vs.1, P=0.014) at first sequencing. TET2 (27.3% vs. 5.9%, P=0.010), SETBP1 (15.2% vs.2.0%, P=0.033), and RUNX1 (18.2% vs. 2.0%, P=0.013) mutations were enriched in the PD/LT cohorts than in the non-PD/LT cohort. ③The most frequently detected acquired mutations (Ⅰ mutations) and clonally expanded mutations (Ⅱ mutations) were TP53 ( n=9, 10.7%), TET2 ( n=7, 8.3%), ASXL1 ( n=7, 8.3%), and RAS pathway ( n=7, 8.3%). Furthermore, patients from the PD/LT cohorts showed a higher median number of Ⅰ/Ⅱ genes than the non-PD/LT cohort (2 vs. 0, P<0.001), and Ⅰ/Ⅱ RAS pathway (21.2% vs. 0, P=0.001), TP53 (27.3% vs. 0, P<0.001), and TET2 (18.2% vs. 2.0%, P=0.013) mutations were enriched in PD/LT cohorts than in the non-PD/LT cohorts. ④Most of the TP53 mutations (9/12, 75.0%) in PD/LT cohorts were Ⅰ/Ⅱ mutations, whereas all of the TP53 mutations in non-PD/LT cohort were clone-decrease mutations (Ⅲ mutations) (5/8, 62.5%) or clone-stable mutations (Ⅳ mutations) (3/8, 37.5%). Most of the RAS pathway mutations (7/8,87.5%) in the PD/LT cohorts were Ⅰ/Ⅱ mutations, whereas only one patient in the non-PD/LT cohort demonstrated RAS pathway mutations, which belonged to Ⅳ mutations. Conclusion:Patients from the PD/LT cohorts demonstrated a higher proportion of bone marrow blasts and a higher median number of mutations than the non-PD/LT cohort at first sequencing; TET2, SETBP1, and RUNX1 mutations were enriched in the PD/LT cohorts than in the non-PD/LT cohort at first sequencing. Patients from the PD/LT cohorts exhibited a higher number of Ⅰ/Ⅱ mutations than the non-PD/LT cohort. Further, Ⅰ/Ⅱ TP53, RAS pathway, and TET2 mutations were enriched in the PD/LT cohorts, and Ⅰ/Ⅱ TP53 and RAS pathway mutations may contribute to the PD/LT.

Objective:To evaluate the changes in left ventricular structure and function in pregnant women with different severities of hypertensive disorders of pregnancy（HDP）using conventional echocardiographic parameters，strain，and tissue-tracking mitral annulus displacement（TMAD）parameters，and to validate and compare the application value of strain and TMAD parameters.Methods:A total of 148 singleton pregnant women with HDP and 100 healthy pregnant women（HP group）who attended the Third Affiliated Hospital of Zhengzhou University from October 2023 to July 2024 were selected. Conventional echocardiographic parameters，strain，and TMAD parameters were collected. Based on the severity of the disease，HDP patients were divided into the gestational hypertension group（GH group， n=49），non-severe preeclampsia group（NSPE group， n=35），and severe preeclampsia group（SPE group， n=64）. The differences in various parameters between the HP，GH，NSPE，and SPE groups were compared. The correlation between the displacement ratio of the midpoint of the mitral valve annulus in the apical 4-chamber（AP4 Midpt%），the displacement ratio of the midpoint of the mitral valve annulus in the apical 2-chamber（AP2 Midpt%）and left ventricular global longitudinal strain（LVGLS）were analyzed，and ROC curves were plotted to analyze and compare the diagnostic efficacies of LVGLS，AP4 Midpt% and AP2 Midpt% for left ventricular function changes in HDP pregnant women. Results:① The analysis revealed no statistically significant differences in maternal age and height between the HP group and the HDP subgroups（all P>0.05）. In contrast，statistically significant differences were observed in gestational age，systolic blood pressure，diastolic blood pressure，body mass index，and body surface area（all P<0.05）. Additionally，significant differences were noted in left ventricular mass，left ventricular interventricular septum thickness at end-diastole，left ventricular posterior wall thickness at end-diastole，left ventricular end-diastolic dimension，left ventricular end-systolic dimension，left ventricular end-diastolic volume，left ventricular end-systolic volume，and stroke volume between the HP group and the HDP subgroups（all P<0.05），while the difference in left ventricular ejection fraction was not statistically significant（ P>0.05）. ② Significant differences were identified in strain and TMAD parameters between the HP group and the HDP subgroups（all P<0.05），with LVGLS，AP4 Midpt% and AP2 Midpt% exhibited the largest effect sizes（ η p2=0.457，0.453，0.351）. A progressive decline in strain and TMAD parameters was observed as the severity of HDP increased. ③ There were strong positive correlations between AP4 Midpt%，AP2 Midpt% and LVGLS（ r=0.752，0.747；all P<0.001）. ④ LVGLS，AP4 Midpt% and AP2 Midpt% all demonstrated significant diagnostic efficacies for changes in left ventricular function in HDP（AUC=0.840，0.847，0.791），and the differences in AUC among the 3 curves were not statistically significant（all P>0.05）.⑤ The success rate of collecting TMAD parameters was significantly higher than that of strain parameters（99.24% vs. 93.58%， P<0.001）. Conclusions:As the severity of the disease worsens，the changes of left ventricular structure and function in pregnant women with HDP become more and more significant. Both strain and TMAD parameters can early and sensitively identify the subclinical damage of left ventricular systolic function in HDP pregnant women，and both of them have the same diagnostic value. TMAD parameters can be used as a reliable substitute parameter of LVGLS in HDP pregnant women.

Glioma is the most common primary malignant tumor of the central nervous system in adults. Despite the standard treatment of surgery combined with radiotherapy and chemotherapy, the prognosis for high-grade glioma patients remains poor, highlighting the urgent need to further explore its pathogenesis and develop new therapeutic strategies. This article reviews the research progress in the field of glioma in China in 2024, covering tumorigenesis mechanisms, tumor immune microenvironment composition, advances in imaging techniques and novel imaging agents, improvements in surgical approaches, mechanisms of radio- and chemoresistance, and explorations of new therapeutic modalities. These studies provide a solid theoretical foundation for advancing clinical diagnosis and treatment of gliomas and may offer new opportunities to improve patient outcomes.

Background Some studies have suggested that exposure to multiple metals is closely linked to the development of metabolic syndrome (MS) in the populations, but the effect of aluminum exposure on MS remains unclear. Objective To analyze the prevalence and influencing factors of MS among employees with aluminum exposure in Shanxi Province. Methods Cluster sampling was employed to survey male frontline workers in an aluminum factory in Shanxi Province. Data on general demographic information, lifestyle, occupational history, medical history, and family history of chronic diseases were collected through questionnaires. The concentration of fasting blood glucose was determined using the glucose oxidase technique, and blood lipid levels were determined using the peroxidase method. Serum aluminum levels were detected using inductively coupled plasma-mass spectrometry (ICP-MS), and blood biochemical indicators were measured using the peroxidase method. Based on the China's 2020 diagnostic criteria for MS, the participants were and divided into an MS group anda non-MS group. Variables with statistical significance in univariate analysis were included to construct a logistic regression model. Results A cohort of 312 workers participated in this research, with 84 individuals diagnosed with MS, yielding a prevalence rate of 26.92%. The logistic regression model revealed that body mass index (BMI)≥24.0 kg·m⁻² (OR=1.967, 95%CI: 1.057, 3.659), alcohol consumption (OR=1.883, 95%CI: 1.063, 3.336), experiencing major life event (OR=3.886, 95%CI: 1.509, 10.008), family history of hypertension (OR=2.112, 95%CI: 1.162, 3.837), serum aluminum concentration (OR=1.024, 95%CI: 1.012, 1.035), alanine aminotransferase (ALT) level (OR=1.032, 95%CI: 1.011, 1.054), and white blood cell (WBC) count (OR=1.210, 95%CI: 1.001, 1.465) were significant influencing factors for MS. Conclusion BMI≥24.0 kg·m⁻², alcohol consumption, experiencing major life event, family history of hypertension, elevated serum aluminum concentration, increased ALT level, and elevated WBC count are risk factors for MS among occupationally aluminum-exposed workers.

Objective: To investigate the influencing factors for cognitive function among aluminum workers, so as to provide the basis for intervention and prevention of cognitive function among aluminum-exposed populations. Methods: From July to August 2019, male aluminum workers in the electrolytic aluminum workshop of an aluminum factory in Shanxi Province were selected using the cluster sampling method. Demographic information, prevalence of chronic diseases, lifestyle behaviors, night shifts, and sleep quality were collected through questionnaire surveys. Blood aluminum levels were measured using inductively coupled plasma-mass spectrometry. Cognitive function was investigated using the Montreal Cognitive Assessment. Factors affecting cognitive function among aluminum workers were analyzed by a quantile regression model. Results: A total of 142 aluminum workers were surveyed, including 57 workers aged 20 to <40 years (40.14%) and 85 workers aged 40 to 60 years (59.86%). The median blood aluminum level was 38.23 (interquartile range, 21.82) μg/L. The median cognitive function score was 24.00 (interquartile range, 3.00) points. Quantile regression analysis revealed that older age (βQ5=-0.186, 95%CI: -0.269 to -0.102), lower educational level (βQ5=1.933, 95%CI: 1.029 to 2.838; βQ10=1.743, 95%CI: 0.480 to 3.006; βQ50=1.038, 95%CI: 0.141 to 1.935; βQ75=1.006, 95%CI: 0.437 to 1.575; βQ90=1.111, 95%CI: 0.291 to 1.930), smoking (βQ5=-2.056, 95%CI: -3.264 to -0.849), alcohol consumption (βQ5=-1.821, 95%CI: -3.247 to -0.396) and higher blood aluminum level (βQ5=-0.075, 95%CI: -0.110 to -0.040; βQ10=-0.078, 95%CI: -0.127 to -0.029; βQ50=-0.075, 95%CI: -0.110 to -0.040; βQ75=-0.057, 95%CI: -0.079 to -0.035; βQ90=-0.067, 95%CI: -0.099 to -0.035) were associated with cognitive function decline among aluminum workers. Conclusions Educational level and blood aluminum level are the main factors affecting the cognitive function among aluminum workers. Among those with lower cognitive function scores, age, smoking and alcohol consumption are also associated with cognitive function.