Objective To investigate the protective effect and potential mechanism of kinsenoside （KD）-the main ingredient of Anoectochilus roxburghii （AR） on alcoholic liver injury in mouse models of chronic and acute alcoholic liver injury, and provide a theoretical basis for the development of drugs for alcoholic liver injury. Methods Chronic and acute alcoholic liver injury mouse models were induced by feeding liquid diet containing 30% alcohol and gavage of high doses of alcohol （6 g/kg）, respectively. The KD （50 mg/kg） and AR （250 mg/kg） were administrated by intragastric administration. Body weight, liver index, serum alanine aminotransferase （ALT）, aspartate aminotransferase （AST） levels, serum total triglyceride （TG） and cholesterol （TC） levels were measured; hematoxylin-eosin and oil red O staining was performed on liver tissues; lipid metabolic related genes （PPARα and SREBP1） expression levels were detected by QPCR. Results Both models of alcoholic liver injury resulted in increased hepatic transaminase activity and elevated lipids, accompanied by massive vacuolar structure and lipid droplet formation in pathological liver sections. In the chronic alcoholic liver injury model, ALT and AST were significantly reduced after KD or AR treatment （P<0.05, P<0.001）; the transcriptional activity of SREBP1 was significantly reduced after KD or AR treatment （P<0.01, P<0.05）. In the acute alcoholic liver injury model, AST was significantly reduced after KD or AR treatment （P<0.01, P<0.01）, and TG level was significantly decreased （P<0.01, P<0.01）. Conclusion KD, as the main active ingredient of AR, played a major role in hepatoprotection in mice. KD treatment significantly alleviated chronic and acute alcoholic liver injury and reduced the lipid deposition in liver; KD promoted lipolysis by increasing PPARα and inhibiting the expression of SREBP1 to reduce the synthesis and accumulation of lipids, thus exerting its role in regulating lipid metabolism, which suggested that KD, as the active ingredient of AR, could be a potential drug for the treatment of ALD.

Objective To fabricate a large-diameter vascular graft with a pore size gradient structure mimicking that of natural blood vessels, using poly-L-lactic acid (PLLA) and polycaprolactone (PCL) as base materials through electrospinning and ultrasonic pore-forming techniques, and to evaluate its application potential. Methods A three-layered tubular graft was fabricated from a PCL/PLLA blend (mass ratio 6 : 4) via electrospinning, followed by an ultrasonic pore-forming process to create a gradient porosity. The resulting graft (diameter: 2 cm, length: 4 cm) was implanted into the descending thoracic aorta of an experimental pig using an end-to-end anastomosis. Graft patency and anastomotic sites were monitored by computed tomography angiography (CTA) at 1 and 6 weeks post-surgery. After 2 months, the graft was explanted for systematic evaluation of vascular regeneration and repair through gross examination, histopathology (H&E and elastic fiber staining), immunohistochemistry [for ETS-related gene (ERG), Actin, and Vimentin], and scanning electron microscopy (SEM). Results Postoperative CTA confirmed excellent graft patency at both 1 and 6 weeks, with no evidence of thrombosis or anastomotic stenosis. Gross examination of the 2-month explant revealed a smooth luminal surface covered by neotissue. Histopathological analysis demonstrated that the graft successfully induced the formation of a three-layered structure resembling a native vessel wall, comprising endothelial cells, smooth muscle cells, and fibroblasts. Immunohistochemistry further verified coverage of the luminal surface by endothelial cells (ERG-positive), along with the presence of neosmooth muscle (Actin-positive) and fibroblasts (Vimentin-positive). Endothelial cells were observed adhering to the inner surface of the artificial vessel under SEM. Conclusion The biomimetic, three-layered PLLA/PCL large-diameter vascular graft, constructed via electrospinning and ultrasonic pore-forming, exhibits excellent short-term patency and biocompatibility in a large animal model. More importantly, it demonstrates a significant potential to promote host cell infiltration and achieve in situ regeneration of a three-layered vascular wall structure, providing a promising experimental basis for the development of next-generation functional vascular substitutes.

Background Previous studies found that high temperature and heatwave increase the risk of traffic injuries. The complex road conditions in Yunnan Province result in frequent traffic accidents. However, there is limited evidence on the correlation between heatwave and traffic injuries in Yunnan Province. Objective To assess the association between heatwave events and traffic injuries, to estimate its disease burden, and to identify relevant sensitive groups. Methods We collected data on traffic injury cases and concurrent meteorological information from four surveillance sites in Yunnan Province, China: Dali, Lufeng, Zhaoyang, and Qilin from May to September each year from 2015 to 2023. Traffic injury cases refer to patients who visited the outpatient or emergency departments of local surveillance hospitals for the first time due to traffic injuries. Meteorological data were derived from the fifth generation atmosphericreanalysis dataset of the global climate provided by the European Centre for Medium-Range Weather Forecasts. A time-stratified case-crossover design combined with distributed lag non-linear model was used to analyze the association between short-term exposure to heatwave and traffic injuries. We also conducted subgroup analyses by sex, age, occupation, injury cause, activity at the time of injury occurrence, and severity of injury. Results A total of 34764 traffic injury surveillance cases were included in the analysis. The risk of traffic injuries occurred during heatwave was 1.13 times (95%CI: 1.07, 1.20) greater than those occurred during non-heatwave, and 2.64% (95%CI: 1.49%, 3.73%) of traffic injuries were attributed to heatwave exposure throughout the study period. The results of stratified analysis showed greater impacts of heatwave on the risk of traffic injuries in female [odds ratio (OR)=1.17, attributable fraction (AF)=3.23%], people aged 15-64 years (OR=1.13, AF=2.68%), farmers/workers (OR=1.22, AF=4.07%), people with non-motor vehicle traffic injuries (OR=1.17, AF=3.24%), people who were driving or riding when injuries occurred (OR=1.12, AF=2.43%), and people with minor injuries (OR=1.18, AF=3.49%) ( P<0.05). Longer duration [excess risk (ER)=0.99%] and greater intensity (ER=4.12%) of heatwave had greater impacts on the risk of traffic injuries (P<0.05). Conclusion Heatwave events are associated with an increased risk of traffic injuries. Female, people aged 15-64, farmers/workers, people with non-motor vehicle traffic injuries, those injured while driving/riding a vehicle, and people with minor injuries are particularly vulnerable. The findings suggest that targeted mitigation and adaptation measures should be taken to address the risk of traffic injuries associated with extreme climate events.

Objective:To evaluate the value of ultrasound radiomics combined with machine learning for early diagnosis of seronegative Hashimoto’s thyroiditis (SN-HT) .Methods:This retrospective study included 164 patients from Liaoning Provincial People’s Hospital , Lixin County People’s Hospital, Linghai Dalinghe Hospital, Fengcheng Phoenix Hospital, who underwent thyroidectomy for solitary nodules with normal thyroid function between Nov. 2016 and Jan. 2024. Postoperative pathology confirmed Hashimoto’s thyroiditis (HT) in some cases, who were further categorized into antibody-positive and antibody-negative groups based on serum antibody status. Patients without Hashimoto’s thyroiditis served as the control group. A total of 298 ultrasound images were analyzed. Radiomics features were extracted from hypoechoic non-nodular areas within 0.5 cm surrounding the tumor. Two senior pathologists and two senior ultrasound physicians independently assessed lymphocytic infiltration, eosinophilic changes of follicular epithelium, and the proportion of hypoechoic areas in pathology and ultrasound images, respectively. A machine learning model, CCH-NET, was developed using linear regression and t-distributed stochastic neighbor embedding (t-SNE) techniques. The dataset was divided into a training set (80%) and a validation set (20%) to compare the diagnostic accuracy of CCH-NET with that of senior ultrasound physicians. Results:In internal validation, CCH-NET achieved a diagnostic accuracy of 88.89% for both antibody-positive and antibody-negative groups, significantly higher than the 66.67% accuracy of senior ultrasound physicians ( P<0.01). In external validation, CCH-NET achieved 75.00% and 66.67% accuracy for the two groups, compared to 50.00% by senior ultrasound physicians. For the control group, both methods achieved 93.33% accuracy. The AUC of CCH-NET was 0.848, outperforming senior ultrasound physicians (0.681) ,demonstrating superior diagnostic performance. Conclusion:The radiomics-based CCH-NET model, using non-nodular hypoechoic areas as a specific indicator, can accurately identify early SN-HT in euthyroid patients. It significantly outperforms senior ultrasound physicians, improving diagnostic accuracy and reducing missed diagnoses.

Objective To explore the prognostic value of serum glutathione reductase(GR),superoxide dismutase(SOD),cystatin C(Cys-C),homocysteine(Hcy)and lipoprotein a[Lp(a)]levels in patients with cerebral ischemic stroke(CIS),and to provide a reference for improving the prognosis of CIS patients.Methods 126 patients with CIS admitted to the 980th Hospital of Joint Logistics Support Force from June 2022 to April 2023 were selected as the observation group,another 126 healthy individuals were selected as the control group at a ratio of 1:1.The expression levels of GR,SOD,Cys-C,Hcy and Lp(a)in the two groups were detected and compared after admission and during physical examination.The degree of neurological deficit in patients with CIS was classified into mild(NIHSS:2～4 points,n=35),moderate(NIHSS:5～15 points,n=47),moderate-severe(NIHSS:16～20 points,n=26)and severe(NIHSS:21～42 points,n=18)according to the National Institutes of Health Stroke Scale(NIHSS).The expression of serum GR,SOD,Cys-C,Hcy and Lp(a)in patients with different degrees of neurological deficit was compared,and the correlation between each indicator and the degree of neurological deficit was analyzed.The observation group received intravenous thrombolytic therapy after admission and was re-examined one day after thrombolysis.After treatment,follow-up visits were conducted for 28 days.According to the patient's condition(modified Rankin scale),patients were divided into good prognosis(n=94)and poor prognosis groups(n=32).The levels of each indicator in patients with different prognoses were compared,and the predictive value of GR,SOD,Cys-C,Hcy and Lp(a)expression for poor prognosis and early warning were analyzed.Results The expression levels of serum GR(48.54±3.07U/L)and SOD(157.17±25.47U/ml)in the observation group were lower than those in the control group(61.68±3.15U/L,203.63±18.31U/ml),while the expression levels of Cys-C(1.24±0.28mg/L),Hcy(15.21±1.62μmol/L)and Lp(a)(386.53±52.16mg/L)were higher than those in the control group(0.82±0.23mg/L,9.58±0.60μmol/L,257.83±45.34mg/L),with statistically significant differences(t=13.011～36.582,all P<0.05).As the disease progressed,the expression levels of GR and SOD gradually decreased,while the expression levels of Cys-C,Hcy and Lp(a)gradually increased,with statistically significant differences(F=14.685～197.041,all P<0.05).Spearman analysis,GR and SOD were negatively correlated with the degree of neurological deficit in patients with CIS(r=-0.814,-0.753,all P<0.05),while Cys-C,Hcy and Lp(a)were positively correlated with the degree of neurological deficit in patients with CIS(r=0.647,0.782,0.724,all P<0.05).The expression of GR and SOD in patients with good prognosis at admission and 1 day after thrombolysis was higher than that in patients with poor prognosis(t=9.109,6.338;2.934,4.358,all P<0.05),while the expression of Cys-C,Hcy and Lp(a)was lower than that in patients with poor prognosis(t=5.246,5.118,8.561;4.636,5.298,7.461,all P<0.05).The AUC(95%CI)of combined prediction of GR,SOD,Cys-C,Hcy and Lp(a)at admission was 0.898(0.832～0.945),and the AUC(95%CI)of combined prediction of GR,SOD,Cys-C,Hcy and Lp(a)at 1 day after thrombolysis was 0.931(0.871～0.968).The RR(95%CI)values caused by the expression of GR,SOD,Cys-C,Hcy and Lp(a)at 1 day after thrombolysis were 2.868(1.594～5.161),3.194(1.807～5.645),0.155(0.082～0.291),0.150(0.071～0.319)and 0.227(0.119～0.435).Conclusion Abnormal changes in the levels of GR,SOD,Cys-C,Hcy and Lp(a)are closely related to the degree of neurological deficit and prognosis in patients with CIS.Early combined detection of GR,SOD,Cys-C,Hcy and Lp(a)levels has high predictive value and early warning for evaluating the poor prognosis of patients with CIS.

Objective To explore the risk factors for futile recanalization after mechanical throm-bectomy for acute large vessel occlusion(LVO)in elderly patients with atrial fibrillation(AF),and construct a prediction model.Methods A total of 146 elderly AF patients who undergoing mechanical thrombectomy due to LVO and achieved successful recanalization(modified thromb-olysis in cerebral infarction,mTICI≥2b)in our hospital from January 2018 to July 2023 were consecutively recruited in this retrospective analysis.According to the 90-day clinical outcome,they were divided into a futile recanalization group(79 cases)and an effective recanalization group(67 cases).The general clinical data were compared between the two groups.Multivariate logistic regression analysis was performed to identify the risk factors for futile recanalization,and based the factors,a nomogram for the prediction was drawn.ROC curve and calibration curve analyses were applied to evaluate the reliability of the prediction model,and decision curve analysis was conducted to assess the clinical application value.Results Multivariate logistic regression analysis identified that baseline blood glucose,NT-proBNP,internal carotid artery occlusion,and thrombec-tomy≥3 attempts were independent risk factors for futile recanalization(OR=1.395,95％CI:1.174-1.658,P=0.000;OR=1.001,95％CI:1.000-1.001,P=0.003;OR=8.024,95％CI:2.554-25.204,P=0.000;OR=5.056,95％CI:1.778-14.375,P=0.002).The AUC value of the prediction model was 0.868(95％CI:0.808-0.929).Calibration curve analysis showed that the model obtained consistent predicted probability with actual probability,and decision curve analy-sis indicated that the model had good clinical benefit.Conclusion Baseline blood glucose,NT-proBNP,internal carotid artery occlusion,and thrombectomy≥3 attempts are independent risk factors for futile recanalization after mechanical thrombectomy in elderly AF patients.Our prediction model has good predictive performance and prediction accuracy,but its application still needs prospective research and external verification.

Objective To observe the complication incidences after percutaneous lung biopsy and sealed the tract with different sealants.Methods A total of 129 patients with solitary pulmonary nodule who underwent CT-guided percutaneous lung biopsy were retrospectively included and divided into group A(n=37),B(n=47)and C(n=45).The biopsy tract was sealed with sealant A(1 g gelatin sponge particles mixed with 10 ml 50％glucose solution)in group A,with sealant B(1 g gelatin sponge particles mixed with 10 ml normal saline)in group B,while with sealant C(1 g gelatin sponge particles mixed with the coagulant enzyme from Bothrops atrox venom and 10 ml normal saline)in group C.The incidence rate of complications such as pneumothorax and hemoptysis were comparatively observed among groups.Binary logistic regression was performed to screen the independent influencing factors associated with complications of percutaneous lung biopsy.Results No significant difference of gender,age,proportion of smoking history nor emphysema,diameter of pulmonary nodules,depth of puncture into lung parenchyma nor times of puncture was found among groups(all P＞0.05).Complications occurred in 43 cases(43/129,33.33％),i.e.27 cases in group B(27/47,57.45％),11 cases in group A(11/37,29.73％)and 5 cases in group C(5/45,11.11％),and the complication rates decreased order of group B,A and C(all P＜0.05).Compared with sealant A,sealant B was associated with increased risk(OR[95％CI]=3.190[1.183,8.598],P=0.022),whereas sealant C was associated with reduced risk(OR[95％CI]=0.266[0.079,0.889],P=0.031)of complications.Conclusion After percutaneous lung biopsy,the complication incidences decreased sequentially when the needle tract was sealed with saline B,A and C.

Objective Based on the finite element simulation analysis of the patient's torso-spine model and combined with theoretical calculation data,an individualized scoliosis orthosis was designed,and the effectiveness of the orthosis was verified through three-dimensional(3D)printing.Methods A patient with idiopathic scoliosis was chosen as the research object.Reverse engineering technology and computer-aided technology were used to establish the torso-spine model of the patient.The finite element method was used to analyze the model,and the optimal position and magnitude of the corrective force were determined by combining literature theory calculation.Based on this,an orthosis was designed.To verify the orthopedic effect,the patient's X-rays before and after wearing the orthosis were compared and evaluated,and the patient was followed up 6 months later.Results The optimal position and magnitude of the initial corrective force were determined through theoretical calculations and finite element simulations.Specifically,a 62.95 N corrective force applied to the L3 vertebral body and the left posterior region corresponding to the upper and lower intervertebral discs in the patient's lateral curvature segment of the spine to achieve the optimal orthopedic effect.On this basis,the orthosis was designed,followed by relevant experimental tests before and after wearing the designed orthosis.By comparing X-ray images of the patient before and after wearing the orthosis and combining them with follow-up data six months later,the optimized design of the orthosis met the expected clinical requirements for orthopedic effects.Conclusions The design of orthosis needs to be personalized according to the specific situation of patients with scoliosis.This study takes a patient with idiopathic scoliosis as the research object,providing new ideas and methods for the design of orthosis for patients with idiopathic scoliosis.

Objective:To investigate causal relationship between intestinal flora and risk of developing ankylosing spondylitis(AS)by a two-sample Mendelian randomization(MR)analysis.Methods:Genome-wide association study(GWAS)data on 211 types of intestinal flora and AS were obtained,and single nucleotide polymorphism(SNP)was used as an instrumental variable and sensi-tive SNPs were selected for analysis.Two-sample MR analyses were performed by inverse variance weighted(IVW)as well as MR-Eg-ger,Weighted median,to assess causal relationship between AS and intestinal flora by OR,and results were tested for heterogeneity and pleiotropy.Results:IVW analysis showed a significant causal relationship between 11 intestinal flora and AS risk.Among them,Verrucomicrobiae,Verrucomicrobiales,Verrucomicrobiaceae,Akkermansia,Erysipelatoclostridium,Holdermannia,Holdemania,Bacillales and Verrucomicrobia had positive causal effect on AS risk,while Dialister,Howardella and Oscillospira had negative causal effect.Causal effect estimates obtained by different methods(MR-Egger,Weighted median)were consistent,and sensitivity tests did not reveal significant horizontal pleiotropy and heterogeneity.Conclusion:Intestinal flora plays an important role in pathogenesis of AS,while specific mechanism remains to be further investigated.

Objective:To evaluate the value of ultrasound radiomics combined with machine learning for early diagnosis of seronegative Hashimoto’s thyroiditis (SN-HT) .Methods:This retrospective study included 164 patients from Liaoning Provincial People’s Hospital , Lixin County People’s Hospital, Linghai Dalinghe Hospital, Fengcheng Phoenix Hospital, who underwent thyroidectomy for solitary nodules with normal thyroid function between Nov. 2016 and Jan. 2024. Postoperative pathology confirmed Hashimoto’s thyroiditis (HT) in some cases, who were further categorized into antibody-positive and antibody-negative groups based on serum antibody status. Patients without Hashimoto’s thyroiditis served as the control group. A total of 298 ultrasound images were analyzed. Radiomics features were extracted from hypoechoic non-nodular areas within 0.5 cm surrounding the tumor. Two senior pathologists and two senior ultrasound physicians independently assessed lymphocytic infiltration, eosinophilic changes of follicular epithelium, and the proportion of hypoechoic areas in pathology and ultrasound images, respectively. A machine learning model, CCH-NET, was developed using linear regression and t-distributed stochastic neighbor embedding (t-SNE) techniques. The dataset was divided into a training set (80%) and a validation set (20%) to compare the diagnostic accuracy of CCH-NET with that of senior ultrasound physicians. Results:In internal validation, CCH-NET achieved a diagnostic accuracy of 88.89% for both antibody-positive and antibody-negative groups, significantly higher than the 66.67% accuracy of senior ultrasound physicians ( P<0.01). In external validation, CCH-NET achieved 75.00% and 66.67% accuracy for the two groups, compared to 50.00% by senior ultrasound physicians. For the control group, both methods achieved 93.33% accuracy. The AUC of CCH-NET was 0.848, outperforming senior ultrasound physicians (0.681) ,demonstrating superior diagnostic performance. Conclusion:The radiomics-based CCH-NET model, using non-nodular hypoechoic areas as a specific indicator, can accurately identify early SN-HT in euthyroid patients. It significantly outperforms senior ultrasound physicians, improving diagnostic accuracy and reducing missed diagnoses.