Objective To investigate the causal relationships between anxiety disorders and coronary heart disease(CHD),atrial fibrillation(AF),heart failure(HF),stroke and myocardial infarction(MI)risks by using the bidirectional two-sample Mendelian randomization study method.Methods The data were collected from the genome-wide association study(GWAS)conducted within the population-based Danish Lundbeck Foundation Initiative for Integrative Psychiatric Research(iPSYCH)study,as well as from five other databases related to cardiovascular diseases.The inverse variance weighting(IVW)method was used to produce the main results,and four methods,including MR-Egger regression,weighted median method,weighted model,and simple model,supplemented the results.Sensitivity analyses such as heterogeneity,horizontal pleiotropy,and leave-one-out analysis were also performed.Results The IVW and MR-Egger regression showed that anxiety disorders would increase the risk of coronary heart disease(IVW:OR=1.0001,95％CI=1.0001-1.0025,P=0.040;MR-Egger:OR=1.0030,95％CI=1.0009-1.0058,P=0.013).There was no evidence of a causal effect of cardiovascular diseases on anxiety disorders risks.There was no horizontal pleiotropy and heterogeneity in the instrumental variables of this study.The result of sensitivity analysis was robust.Conclusion The study supports the causal effect of anxiety disorders on CHD risk,but no association is found with an increased risk of other cardiovascular diseases,such as AF,HF,stroke,and MI.No reverse causal association effect is observed.

Objective To investigate the causal relationships between anxiety disorders and coronary heart disease(CHD),atrial fibrillation(AF),heart failure(HF),stroke and myocardial infarction(MI)risks by using the bidirectional two-sample Mendelian randomization study method.Methods The data were collected from the genome-wide association study(GWAS)conducted within the population-based Danish Lundbeck Foundation Initiative for Integrative Psychiatric Research(iPSYCH)study,as well as from five other databases related to cardiovascular diseases.The inverse variance weighting(IVW)method was used to produce the main results,and four methods,including MR-Egger regression,weighted median method,weighted model,and simple model,supplemented the results.Sensitivity analyses such as heterogeneity,horizontal pleiotropy,and leave-one-out analysis were also performed.Results The IVW and MR-Egger regression showed that anxiety disorders would increase the risk of coronary heart disease(IVW:OR=1.0001,95％CI=1.0001-1.0025,P=0.040;MR-Egger:OR=1.0030,95％CI=1.0009-1.0058,P=0.013).There was no evidence of a causal effect of cardiovascular diseases on anxiety disorders risks.There was no horizontal pleiotropy and heterogeneity in the instrumental variables of this study.The result of sensitivity analysis was robust.Conclusion The study supports the causal effect of anxiety disorders on CHD risk,but no association is found with an increased risk of other cardiovascular diseases,such as AF,HF,stroke,and MI.No reverse causal association effect is observed.

Objective:To construct and evaluate the predictive performance of a multiphase ultrasound radiomics model for microvascular invasion（MVI）in hepatocellular carcinoma（HCC）.Methods:A total of 126 patients with pathologically confirmed HCC were retrospectively enrolled from 4 medical centers between May 2018 and July 2025，including the First Hospital of Shanxi Medical University，Shanxi Province Third People's Hospital，Changzhi People's Hospital，and the Organ Transplant Center of the Affiliated Hospital of Qingdao University. A total of 630 ultrasound images of the lesions in different phases were collected，from which 1 561 radiomic features were extracted. The patients from medical institutions in Shanxi Province were chosen as the training set（ n=91），and the patients from the Organ Transplant Center of the Affiliated Hospital of Qingdao University were chosen as the validation set（ n=35）. In the training set，37.4%（34/91）patients presented MVI（+），whereas in the validation set，54.3%（19/35）patients presented MVI（+）. Radiomics features were extracted from ultrasound images，and features related to the MVI（+）were selected through dimensionality reduction analysis. Five multiple machine learning algorithms were used to construct predictive models，which were then evaluated using an external validation set. The Radscore was calculated，and a nomogram was constructed combining Radscore with ultrasound and clinical characteristics to predict MVI. Results:The model combining radiomics features from the portal venous phase and the delay phase showed the best predictive performance in both the training and validation sets，with area under curve（AUC）values of 0.835 and 0.727，respectively. The prediction model developed using radiomics Radscore and clinical indicators could be represented and presented as a nomogram.Conclusions:The radiomics model based on multi-phase ultrasound offers a novel approach for non-invasive preoperative prediction of MVI in liver cancer. Furthermore，its integration with clinical features aids in optimizing clinical treatment strategies.

Objective:To study the correlation of TCM syndrome elements of large artery atherosclerosis (LAA) cerebral infarction with the new four thrombotic markers and cerebrovascular disease risk factors.Methods:Retrospective analysis was conducted for the baseline data and four diagnosis of 174 patients with LAA cerebral infarction in Department of Neurology, Shanxi Provincial People's Hospital from August 2022 to September 2023. These patients were classified into six TCM syndrome elements: internal wind, qi deficiency, internal fire, blood stasis, yin deficiency, and phlegm-dampness. Thrombomodulin (TM), fibrin-α2 antifibrinolytic inhibitor complex (PIC), thrombin-antithrombinogen complex (TAT), and tissue-type plasminogen activator-plasminogen activator inhibitor complex (t-PAIC) tests were performed in 24 h. Correlation analysis was conducted between the TCM syndrome typing of LAA stroke patients and baseline data, as well as the results of four thrombotic tests.Results:Among the 174 patients with LAA cerebral infarction, 49 (28.16%) were in the internal wind type, 37 (21.26%) in the phlegm-dampness type, 37 (21.26%) in the qi deficiency type, 16 (9.20%) in the internal fire type, 18 (10.35%) in the yin deficiency type, and 17 (9.77%) in the blood stasis type. Comparison of plasma TM ( P=0.003), PIC ( P=0.022), TAT ( P<0.001) and t-PAIC ( P=0.007) levels of each TCM syndrome element showed statistically significant differences ( P<0.05). Logistic regression analysis showed that gender was an influencing factor for the internal wind syndrome element and qi deficiency syndrome element [ OR (95% CI)=0.140 (0.037-0.536)] and blood stasis syndrome element [ OR (95% CI)=0.185 (0.042-0.820)] in TCM; TM was an influencing factor for the internal wind syndrome element and yin deficiency syndrome element [ OR (95% CI)=0.617 (0.423-0.900)], and blood stasis syndrome element [ OR (95% CI)=0.693 (0.496-0.968) ]; TAT was an influencing factor for internal wind syndrome element and phlegm-dampness syndrome element [ OR (95% CI)=2.143 (1.364-3.367)], qi deficiency syndrome element [ OR (95% CI)=1.937 (1.221-3.073)], and internal fire syndrome element [ OR (95% CI)=1.937 (1.221-3.073)], internal fire evidence element [ OR (95% CI)=2.949 (1.796-4.842)], and blood stasis evidence element [ OR (95% CI)=2.118 (1.246-30 600)]; t-PAIC was an influential factor for internal wind syndrome element and qi deficiency syndrome element [ OR (95% CI)=1.140 (1.033-1.258)] ( P<0.05). The ROC curve suggested that a TM level of 8.05 TU/ml had a diagnostic performance of 71.8% for the yin deficiency syndrome; a TAT level of 2.45 ng/L had a diagnostic performance of 71.2% for the internal wind syndrome; a TAT level of 1.65 ng/L had a diagnostic performance of 72.6% for the internal fire syndrome; and a t-PAIC level of 17.55 ng/L had a diagnostic performance of 70.4% for the qi deficiency syndrome. The diagnostic performance of t-PAIC was 70.4% at a t-PAIC level of 17.55 ng/L. Conclusion:Plasma TM, TAT, and t-PAIC levels are independent risk factors for different syndrome elements in patients with LAA cerebral infarction and can be used as markers for early determination of different syndrome elements.

The research of damp-heat syndrome in modern TCM mainly focuses on inflammatory response, water metabolism, lipid metabolism, hemorheology, intestinal flora and so on. Modern omics techniques such as metabolomics and genomics provide a new perspective for the exploration of the micro-mechanism of damp-heat syndrome. The study found that the abnormal expression of aquaporin is closely related to the formation of "dampness" in damp-heat syndrome, and the release of inflammatory factors reflects the pathological characteristics of "heat". Damp-heat syndrome is often accompanied by dyslipidemia, hemorheological changes and intestinal flora imbalance, showing characteristic changes in urine, blood and saliva metabolomics, and there are differences in gene expression between damp-heat constitution and gentleness constitution. In the future, the pertinence and systematicness of research should be strengthened, the relationship between indicators should be deeply explored, build a biomarker system should be built, the immune-metabolic regulation mechanism should be explored, the multi-target mechanism of heat-clearing and dampness-removing Chinese materia medica should be clarified to further improve the damp-heat syndrome system, and provide theoretical support for clinical treatment.

Objective:To construct and evaluate the predictive performance of a multiphase ultrasound radiomics model for microvascular invasion（MVI）in hepatocellular carcinoma（HCC）.Methods:A total of 126 patients with pathologically confirmed HCC were retrospectively enrolled from 4 medical centers between May 2018 and July 2025，including the First Hospital of Shanxi Medical University，Shanxi Province Third People's Hospital，Changzhi People's Hospital，and the Organ Transplant Center of the Affiliated Hospital of Qingdao University. A total of 630 ultrasound images of the lesions in different phases were collected，from which 1 561 radiomic features were extracted. The patients from medical institutions in Shanxi Province were chosen as the training set（ n=91），and the patients from the Organ Transplant Center of the Affiliated Hospital of Qingdao University were chosen as the validation set（ n=35）. In the training set，37.4%（34/91）patients presented MVI（+），whereas in the validation set，54.3%（19/35）patients presented MVI（+）. Radiomics features were extracted from ultrasound images，and features related to the MVI（+）were selected through dimensionality reduction analysis. Five multiple machine learning algorithms were used to construct predictive models，which were then evaluated using an external validation set. The Radscore was calculated，and a nomogram was constructed combining Radscore with ultrasound and clinical characteristics to predict MVI. Results:The model combining radiomics features from the portal venous phase and the delay phase showed the best predictive performance in both the training and validation sets，with area under curve（AUC）values of 0.835 and 0.727，respectively. The prediction model developed using radiomics Radscore and clinical indicators could be represented and presented as a nomogram.Conclusions:The radiomics model based on multi-phase ultrasound offers a novel approach for non-invasive preoperative prediction of MVI in liver cancer. Furthermore，its integration with clinical features aids in optimizing clinical treatment strategies.

Three novel,highly oxygenated polyketides,multioketides A-C(1-3),and three previously described multioxidized aromatic polyketides(4-6),were isolated from an endophytic Penicillium sp.YUD17006 associated with Gastrodia elata.Their chem-ical structures were elucidated using extensive spectroscopic data,electronic circular dichroism calculations,and single X-ray diffrac-tion analysis.All metabolites were characterized by a typical α,β-unsaturated ketone fragment and exhibited a high degree of oxidation.Multioketides A and B were identified as a pair of epimers featuring a rare dihydroisobenzofuranone core.Multioketide C possessed a novel 5/6/6/6 heterotetracyclic chemical architecture with unusual 1,4-dioxin functionalities.Plausible biosynthetic pathways for 1-6 were proposed.Additionally,compound 3 demonstrated weak inhibitory activities against both acetylcholinesterase and protein tyr-osine phosphatase 1B.

BACKGROUND: The HELIOS stent is a sirolimus-eluting stent with a biodegradable polymer and titanium oxide film as the tie-layer. The study aimed to evaluate the safety and efficacy of HELIOS stent in a real-world setting. METHODS: The HELIOS registry is a prospective, multicenter, cohort study conducted at 38 centers across China between November 2018 and December 2019. A total of 3060 consecutive patients were enrolled after application of minimal inclusion and exclusion criteria. The primary endpoint was target lesion failure (TLF), defined as a composite of cardiac death, non-fatal target vessel myocardial infarction (MI), and clinically indicated target lesion revascularization (TLR) at 1-year follow-up. Kaplan-Meier methods were used to estimate the cumulative incidence of clinical events and construct survival curves. RESULTS: A total of 2998 (98.0%) patients completed the 1-year follow-up. The 1-year incidence of TLF was 3.10% (94/2998, 95% closed interval: 2.54-3.78%). The rates of cardiac death, non-fatal target vessel MI and clinically indicated TLR were 2.33% (70/2998), 0.20% (6/2998), and 0.70% (21/2998), respectively. The rate of stent thrombosis was 0.33% (10/2998). Age ≥60 years, diabetes mellitus, family history of coronary artery disease, acute myocardial infarction at admission, and device success were independent predictors of TLF at 1 year. CONCLUSION: The 1-year incidence rates of TLF and stent thrombosis were 3.10% and 0.33%, respectively, in patients treated with HELIOS stents. Our results provide clinical evidence for interventional cardiologists and policymakers to evaluate HELIOS stent. CLINICAL TRIAL REGISTRATION ClinicalTrials.gov, NCT03916432.
Humans ; Middle Aged ; Sirolimus/therapeutic use* ; Drug-Eluting Stents/adverse effects* ; Prospective Studies ; Cohort Studies ; Treatment Outcome ; Risk Factors ; Time Factors ; Percutaneous Coronary Intervention/adverse effects* ; Cardiovascular Agents/therapeutic use* ; Coronary Artery Disease/therapy* ; Myocardial Infarction/etiology* ; Thrombosis/complications* ; Polymers ; Registries

In order to study the effect of middle ear malformations on energy absorbance, we constructed a mechanical model that can simulate the energy absorbance of the human ear based on our previous human ear finite element model. The validation of this model was confirmed by two sets of experimental data. Based on this model, three common types of middle ear malformations,
Ear Ossicles ; Humans ; Incus ; Malleus

Objective To study the relationship between HLA allele frequencies in peripheral blood mononuclear cells (PBMCs) and the susceptibility to tuberculosis in southern Chinese population. Methods The polymorphisms of HLA-A and HLA-DRB1 loci in the PBMCs were analyzed in 294 patients with active tuberculosis using polymerase chain reaction-sequence based typing (PCT-SBT). The allele frequencies in the patients were compared with the data from 644 control southern Chinese subjects obtained from the online database Allele Frequencies in Worldwide Population. Results The frequencies of HLA-A*0101 and HLA-DRB1*1454 alleles in the patient cohort with pulmonary tuberculosis were significantly higher than those in the control group (2.4％vs 0.6％,χ2=10.788, P=0.001, Pc=0.016;7.5％vs 0％,χ2=69.850, P<0.0001);the frequencies of HLA-DRB1*1202 and HLA-DRB1*1401 alleles were significantly lower in this patient cohort than in the control group (10.4％vs 16.1％,χ2=9.845, P=0.002, Pc=0.044;0％vs 3.1％,χ2=18.520, P<0.001). Conclusion The frequencies of HLA-A and HLA-DRB1 alleles are correlated with the susceptibility to active tuberculosis in this southern Chinese population. HLA-A*0101, HLA-DRB1*1454 and the other 3 alleles are likely susceptible genes to tuberculosis, while HLA-DRB1*1202, HLA-DRB1*1401 and the other 4 alleles can be protective genes in this population.