1.Protective effects and mechanisms of luteolin on vascular injury induced by polystyrene microplastics
Deyu ZHU ; Qi HUANG ; Xiao LIANG ; Zhuangzhuang WEI ; Xinyu BAO ; Ping MA ; Yang WU ; Cuiyu BAO
Acta Universitatis Medicinalis Anhui 2026;61(3):432-438
ObjectiveTo explore the vascular endothelial injury in male mice caused by exposure to polystyrene microplastics (PS-MPs) and the intervention effect of luteolin on vascular remodeling. Additionally, to investigate the mechanism through the oxidative system and metabolomics. MethodsThirty-two C57BL/6 mice (6-8 weeks old) were randomly divided into the saline group (saline group), the 0.1 mg/kg PS-MPs exposure group (0.1PS-MPs group), the 1 mg/kg PS-MPs exposure group (1PS-MPs group), and the 1 mg/kg PS-MPs + luteolin treatment group (1PS-MPs + Lut group), with 8 mice in each group. After 8 weeks of intervention, the body weight, blood pressure, aortic organ coefficient, and aortic histopathological changes of mice in each group were detected; the total cholesterol (TC), triglyceride (TG), and high-density lipoprotein cholesterol (HDL-C) lipid metabolism-related indicators in the aorta of mice were detected; the reactive oxygen species (ROS), glutathione (GSH), and malondialdehyde (MDA) oxidative stress-related indicators were detected; the endothelin (ET-1), nitric oxide (NO), vascular endothelial growth factor A (VEGF-A), vascular cell adhesion molecule-1 (VCAM-1/CD106), and intercellular adhesion molecule-1 (ICAM-1/CD54) endothelial function-related indicators and serum metabolomics were detected. ResultsCompared to the saline group, exposure to PS-MPs resulted in pathological thickening of the mouse aorta, increased aortic organ coefficient, and elevated blood pressure. Lipid metabolism-related indicators, including TC and TG, were elevated, while HDL-C was reduced, indicating lipid metabolism disorder in mice. Oxidative stress markers such as ROS and MDA increased, whereas GSH decreased, demonstrating oxidative damage. Vascular endothelial inflammation and injury markers, including ET-1, VEGF-A, VCAM-1, and ICAM-1, were upregulated, while the vasodilatory substance NO was downregulated, confirming endothelial injury. Furthermore, serum metabolomics results revealed that PS-MPs exposure induced endothelial damage by disrupting metabolic pathways such as the citrate cycle. Compared to the PS-MPs group, luteolin significantly reversed these effects, attenuating oxidative stress and lipid metabolism disorders, and effectively repairing endothelial injury. ConclusionPS-MPs induce vascular toxicity through oxidative stress and lipid metabolism. Luteolin effectively alleviates endothelial damage and vascular remodeling.
2.Construction and Optimization of Alzheimer's Disease Classification Model Based on Brain Mixed Function Network Topology Parameters and Machine Learning
Xiao-yu HAN ; Xiu-zhu JIA ; Yang LI ; Meng-ying LOU ; Yong-qi NIE ; Xin-ping GUO ; Lu YU ; Zhi-yuan LI ; Lian-zheng SU
Progress in Modern Biomedicine 2025;25(11):1770-1778
Objective:To explore the interrelationship between brain functional networks and features in functional magnetic resonance imaging(fMRI)of patients with Alzheimer's disease(AD),and to construct mixed-function networks(MFN),and apply them in machine learning classification models to improve the accuracy of AD classification.Methods:102 AD patients and 227 healthy subjects in the Alzheimer's Neuroimaging Initiative(ADNI)dataset were retrospectively analyzed.The partial correlation brain network of the blood oxygen level dependent(BOLD)signal was calculated and fused with low-frequency wave amplitude(ALFF),fractional low-frequency wave amplitude(fALFF)and local consistency(ReHo)features to construct MFN.Network topology parameters were extracted,and a variety of machine learning classification models were constructed based on MFN topological parameters,accuracy,precision,recall and area under the curve(AUC)were used to evaluate the predictive efficiency of the models.Results:By constructed MFN and calculated intra group to inter group ratio(IIGR),35 features could be obtained from ALFF,fALFF and ReHo feature topological parameter analysis,after rank sum test and FDR correction,there were statistical differences among 28 features(P<0.05).The classification results show that,all the five classifiers have high classification performance on the test data set.The accuracy,precision and recall rates of random forest(RF),adaptive lifting algorithm(AdaBoost),guided aggregation algorithm(Bagging)and support vector machine(SVM)were all 99.7%,and the AUC values were up to 100%,99.5%,99.1%and 99.5%,respectively.The accuracy(98.5%),precision(98.5%),recall(98.5%),and AUC(99.1%)of the multi-layer perceptron(MLP)were slightly lower than other models,but remained excellent.It was worth noting that RF has the highest AUC value of all models at 100.0%,while Bagging has the lowest AUC value(99.1%)in the integrated approach.The results of performance comparison show that,MFN classification model can significantly improve the recognition and classification of AD disease,and greatly improve the performance of various indicators of the classifier.The results showed that,MFN classification model was superior to intelligent classification based fusion,DBN-based multitask learning,PVT-TSVM,unsupervised learning and clustering,SVM and SVM of degree 3 polynomial kernel function in key indicators such as accuracy(99.13%),AUC(99.42%),recall rate(99.46%)and specificity(99.42%)with plasma proteins,machine learning algorithms.It was further proved that MFN classification model has good generalization ability and robustness in AD disease classification.Conclusion:The AD classification model constructed based on brain mixed function network topology parameters and machine learning can improve the accuracy of AD classification.
3.Application effect of gasless endoscopic thyroidectomy via axillary approach in early thyroid tumor
Yan HE ; Mian ZHOU ; Tong SHI ; Qi ZHANG ; Xiao-chao ZHU
Journal of Regional Anatomy and Operative Surgery 2025;34(4):329-332
Objective To explore the effects of gasless endoscopic thyroidectomy via axillary approach on neck function and aesthetic effect in patients with early thyroid tumor.Methods A prospective study was conducted on 116 patients with early thyroid tumor admitted to our hospital from December 2020 to December 2023.They were divided into the observation group and the control group according to block random method,with 58 cases in each group.Patients in the control group underwent open thyroidectomy,while patients in the observation group underwent gasless endoscopic thyroidectomy via axillary approach.The surgical indicators,neck function,cosmetic effect,and complications of patients in the two groups were compared.Results Compared with the control group,the observation group had a longer surgical time(P<0.05),less intraoperative bleeding and postoperative drainage volume(P<0.05).There were statistically significant differences in terms of the time point,inter-group and interaction effects of the neck injury index and the time point and inter-group effects of swallowing disorder index of patients between the two groups(P<0.05).Compared with 3 days after surgery,the neck injury index and swallowing disorder index at 6 months and 12 months after surgery of patients in both groups decreased(P<0.05),and the neck injury index and swallowing disorder index at 6 months and 12 months after surgery of patients in the observation group were lower than those in the control group(P<0.05).Compared with the control group,the observation group had better cosmetic effects(P<0.05).The total incidence of complications of patients in the observation group was lower than that in the control group(P<0.05).Conclusion Gasless endoscopic thyroidectomy via axillary approach has better efficacy for early thyroid tumor,which can effectively improve neck function and aesthetic effect,promote the recovery of patients,and has high safety and patient satisfaction.
4.Correlation between serum uric acid and incident chronic kidney disease in middle-aged and elderly Chinese population and gender differences
Qing MIN ; Han ZHANG ; Zi-yan SHEN ; Shi-qi LYU ; Cheng ZHU ; Xiao-yan ZHANG ; Xiao-qiang DING
Fudan University Journal of Medical Sciences 2025;52(3):317-325
Objective To investigate the correlation between serum uric acid(SUA)levels and incident chronic kidney disease(CKD)in middle-aged and elderly Chinese population and gender differences.Methods Based on the longitudinal survey data of China Health and Retirement Longitudinal Study from 2011 to 2015,the CKD-Epidemiology Collaboration cystatin C formula was used to estimate the glomerular filtration rate(eGFR),and 4 119 participants with normal renal function(eGFR≥60 mL·min-1·1.72 m-2)at baseline were included.Incident CKD was defined as eGFR<60 mL·min-1·1.72 m-2 at the follow-up in 2015.Logistic regression analysis was used to analysis the association of SUA levels at baseline and incident CKD among different genders.Restricted cubic spline analysis was used to analyze the dose-response relationship.Results After 4-year follow-up,127 participants developed incident CKD,including 57 males and 70 females.Multivariate Logistic regression analysis showed that elevated SUA levels were independently associated with the risk of incident CKD(OR=1.532,P<0.001).For each 1 mg/dL increase in SUA,the risk of incident CKD increased by 33.6%in males(OR=1.336,P=0.012)and 77.5%in females(OR=1.755,P<0.001).Restricted cubic spline analysis showed a linear positive correlation between SUA levels and incident CKD in both males and females.Participants were divided into four groups according to SUA quartiles(Q1-Q4).Multivariate Logistic regression analysis indicated a significant increase in the risk of incident CKD in Q3 group(3.75 mg/dL
5.Construction and Optimization of Alzheimer's Disease Classification Model Based on Brain Mixed Function Network Topology Parameters and Machine Learning
Xiao-yu HAN ; Xiu-zhu JIA ; Yang LI ; Meng-ying LOU ; Yong-qi NIE ; Xin-ping GUO ; Lu YU ; Zhi-yuan LI ; Lian-zheng SU
Progress in Modern Biomedicine 2025;25(11):1770-1778
Objective:To explore the interrelationship between brain functional networks and features in functional magnetic resonance imaging(fMRI)of patients with Alzheimer's disease(AD),and to construct mixed-function networks(MFN),and apply them in machine learning classification models to improve the accuracy of AD classification.Methods:102 AD patients and 227 healthy subjects in the Alzheimer's Neuroimaging Initiative(ADNI)dataset were retrospectively analyzed.The partial correlation brain network of the blood oxygen level dependent(BOLD)signal was calculated and fused with low-frequency wave amplitude(ALFF),fractional low-frequency wave amplitude(fALFF)and local consistency(ReHo)features to construct MFN.Network topology parameters were extracted,and a variety of machine learning classification models were constructed based on MFN topological parameters,accuracy,precision,recall and area under the curve(AUC)were used to evaluate the predictive efficiency of the models.Results:By constructed MFN and calculated intra group to inter group ratio(IIGR),35 features could be obtained from ALFF,fALFF and ReHo feature topological parameter analysis,after rank sum test and FDR correction,there were statistical differences among 28 features(P<0.05).The classification results show that,all the five classifiers have high classification performance on the test data set.The accuracy,precision and recall rates of random forest(RF),adaptive lifting algorithm(AdaBoost),guided aggregation algorithm(Bagging)and support vector machine(SVM)were all 99.7%,and the AUC values were up to 100%,99.5%,99.1%and 99.5%,respectively.The accuracy(98.5%),precision(98.5%),recall(98.5%),and AUC(99.1%)of the multi-layer perceptron(MLP)were slightly lower than other models,but remained excellent.It was worth noting that RF has the highest AUC value of all models at 100.0%,while Bagging has the lowest AUC value(99.1%)in the integrated approach.The results of performance comparison show that,MFN classification model can significantly improve the recognition and classification of AD disease,and greatly improve the performance of various indicators of the classifier.The results showed that,MFN classification model was superior to intelligent classification based fusion,DBN-based multitask learning,PVT-TSVM,unsupervised learning and clustering,SVM and SVM of degree 3 polynomial kernel function in key indicators such as accuracy(99.13%),AUC(99.42%),recall rate(99.46%)and specificity(99.42%)with plasma proteins,machine learning algorithms.It was further proved that MFN classification model has good generalization ability and robustness in AD disease classification.Conclusion:The AD classification model constructed based on brain mixed function network topology parameters and machine learning can improve the accuracy of AD classification.
6.Correlation between serum uric acid and incident chronic kidney disease in middle-aged and elderly Chinese population and gender differences
Qing MIN ; Han ZHANG ; Zi-yan SHEN ; Shi-qi LYU ; Cheng ZHU ; Xiao-yan ZHANG ; Xiao-qiang DING
Fudan University Journal of Medical Sciences 2025;52(3):317-325
Objective To investigate the correlation between serum uric acid(SUA)levels and incident chronic kidney disease(CKD)in middle-aged and elderly Chinese population and gender differences.Methods Based on the longitudinal survey data of China Health and Retirement Longitudinal Study from 2011 to 2015,the CKD-Epidemiology Collaboration cystatin C formula was used to estimate the glomerular filtration rate(eGFR),and 4 119 participants with normal renal function(eGFR≥60 mL·min-1·1.72 m-2)at baseline were included.Incident CKD was defined as eGFR<60 mL·min-1·1.72 m-2 at the follow-up in 2015.Logistic regression analysis was used to analysis the association of SUA levels at baseline and incident CKD among different genders.Restricted cubic spline analysis was used to analyze the dose-response relationship.Results After 4-year follow-up,127 participants developed incident CKD,including 57 males and 70 females.Multivariate Logistic regression analysis showed that elevated SUA levels were independently associated with the risk of incident CKD(OR=1.532,P<0.001).For each 1 mg/dL increase in SUA,the risk of incident CKD increased by 33.6%in males(OR=1.336,P=0.012)and 77.5%in females(OR=1.755,P<0.001).Restricted cubic spline analysis showed a linear positive correlation between SUA levels and incident CKD in both males and females.Participants were divided into four groups according to SUA quartiles(Q1-Q4).Multivariate Logistic regression analysis indicated a significant increase in the risk of incident CKD in Q3 group(3.75 mg/dL
7.Establishment and application of ultra-fast real-time PCR for Brucella detection
Zhen-na XU ; Zhi-peng WU ; Wei-bin HONG ; Zhi-shen GUAN ; Qi-ming LIN ; Zuan-lan MO ; Yi-fei YE ; Hai-yan XIE ; Min LI ; Yan-qiu ZHU ; Xiao-jun LI ; Xian-peng ZHANG
Chinese Journal of Zoonoses 2025;41(3):278-283
This study was aimed at establishing a method of ultra-fast quantitative PCR for Brucella detection.We used an exogenous recombinant plasmid as the internal reference and targeted the T4SS secretion system,an important Brucella viru-lence factor,to design specific primers and probes.The sensitivity,specificity,and repeatability of this method were evaluated,and a standard curve was constructed.The coincidence rate of detection findings with this method versus quantitative PCR was determined.This method markedly decreased the detection time to only 10 minutes.The standard curve demonstrated a good linear relationship(Y=-3.410 7x+38.357,R2=0.998 5)with a low minimum detection limit of 10 copies/μL.The method exhibited good specificity and did not specifically amplify several common clinical bacteria other than Brucella.The de-tection of three concentrations of positive plasmids yielded coefficients of variation(CVs)of 0.20%to 0.91%,thus demonstra-ting the method's excellent repeatability.Furthermore,140 clinical samples were analyzed concurrently with the fluorescence PCR method,which yielded a 100%compliance rate and consistent results.Our findings indicated that the Brucella ultra-fast quantitative PCR was ultrafast;had high sensitivity,high specificity,and good specificity;and can be used for the clinical de-tection of Brucella and emergency investigation of epidemics.Therefore,this method is valuable for the early diagnosis of Bru-cella.
8.Epidemiological and genomic characteristics of linezolid-resistant Enterococci iso-lated from livestock farms in Changsha
Jianqin LIU ; Jianchao ZHANG ; Zhi CHEN ; Hui YANG ; Honggang ZHU ; Liang QI ; Xiao-jun CHEN
Chinese Journal of Veterinary Science 2025;45(5):978-986
To investigate the antimicrobial resistance of Enterococci isolated from 596 anal swabs,feces and environmental samples were collected from pig,cattle,chicken and quail farms in Chang-sha,Hunan Province,Enterococci were isolated and identified by mass spectrometry.The minimum inhibitory concentrations(MICs)of 10 antimicrobial agents were determined by AGAR diffusion method.Whole genome sequencing(WGS)was used to detect the distribution of multilocus se-quence typing(ST),drug resistance genes and virulence genes.A total of 272 strains of Enterococ-cus were isolated(45.6%).The isolates were resistant to cefoxitin(68.9%)and cefotiofur(58.5%),followed by trimethoprim/sulfamethoxazole(52.2%),vancomycin(4.4%),and linezolid(13.6%).In this study,six linezolid highly resistant Enterococci isolates were analyzed by whole genome sequencing to explore the transmission mechanism of linezolid resistance because linezolid is forbidden to be used in aquaculture.ST403(4/6),ST16(1/6)and ST476(1/6)were the most common ST types,which all originated from the same farm.Three oxazolidinone resistance genes(cfr,poxtA and optrA)were found in all 21 strains.One strain(Ecc60)carried all three oxazo-lidinone resistance genes,but none of them were located on the plasmid.tet(M),aph(3')-Ⅲ,and lsa(A)were found in all six Enterococcus isolates.Interestingly,the present study is the first to i-dentify enterococci carrying the optrA gene in quail fecal samples.The analysis of the genetic envi-ronment of oxazolidinone resistance genes showed that the genetic environment of cfr(D),poxtA and optrA of isolates from the same farm was similar.A total of 19 virulence genes were detected in 6 isolates,of which 12 genes(ElrA,SrtA,ace,agg,cCF10,cOB1,cad,camE,ebpA,ebpC,efaAfs,tpx)were carried by all 6 isolates,and the types of virulence genes in strains from the same farm were extremely similar.The results showed that the drug resistance of Enterococci iso-lated from the fish farms in Changsha was serious,and the resistance rate to linezolid,which was prohibited in the fish farms,was high.The oxazolidinone resistance gene loci were accompanied by other resistance genes,especially the florfenicol resistance gene(FexA),which may be related to the abuse of florfenicol in the fish farms.
9.Feasibility study of using clinical trial individual-level data sample bank as external control to support drug and device development:taking transcatheter aortic valve replacement device as an example
Xiao-ying LIN ; Chi-lie DANZENG ; Duo-er WANG ; Ying-xuan ZHU ; Ye LU ; Fan GAO ; Yuan-xin LI ; Meng-zhu SU ; Zi-long ZHANG ; Min CHEN ; Qi-ze LI ; Ru JIANG ; Yan-yan ZHAO ; Yang WANG
Chinese Journal of Interventional Cardiology 2025;33(8):459-466
Objective To explore the feasibility and corresponding implementation methods of constructing a sample resource bank based on individual-level data of completed clinical trials and using it to construct external controls for drug/device clinical trials.Methods Taking the pre-marketing clinical trial of transcatheter active valve replacement(TAVR)for the treatment of aortic valve stenosis as an example,the individual-level databases of multiple trials were standardized to form a sample bank.The original data of any trial in the sample bank were selected as the experimental group,and the remaining samples were selected as the control group.The potential confounding was handled by using the propensity score matching and stratification methods to clarify the process of constructing external controls based on the sample bank of individual-level data of clinical trials.Results This study included individual-level data of single-group trials of 4 TAVR devices,with a total of 569 subjects(59.2%male).The number of subjects in Trials 1 to 4 was 120,120,163,and 166,respectively.Propensity score matching enabled the matching of 113,117,125,and 147 subjects with comparable or similar characteristics from individual-level data from other trials,respectively,demonstrating a high matching success rate.The PS score distribution plot after stratification showed that the proportions of subjects in the experimental and control groups in strata 1 to 5 in scheme 1 were 4/103,11/103,22/92,32/87,and 51/64,respectively.For all constructed external controlled trials,a certain number of control samples with similar baseline characteristics to the experimental groups were distributed within each propensity score stratum.The results of the simulation test also reflected the potential differences between different devices in the 12-month all-cause mortality rate.Conclusions The sample bank constructed with individual-level data from clinical trials,as a high-quality data source,can serve as a source of external control for single-arm trials in the same field,and as a useful supplement to the external control scenario of real-world evidence to support drug and device development.At the same time,targeted research on research methods and bias control measures in related fields is also needed.
10.Design and application of individually portable oral treatment device field conditions in alpine regions
Jian-xue ZHOU ; Hong XIN ; Xue-qi MENG ; Rui-hua WANG ; Xiao-ming ZHU ; Peng-fa WANG
Chinese Medical Equipment Journal 2025;46(1):108-113
Objective To design an individually portable oral treatment device to solve the problems of oral diagnosis and treatment under field conditions in alpine regions.Methods The individually portable oral treatment device had a trolley box structure and consisted of an outer box,an inner framework and an operation panel.The outer box was made of low-density polyethylene material and formed by by one-time rotational moulding process;the inner framework integrated a plateau com-pressor,an independent negative-pressure compressor,an integrated control system for programmable logic controller(PLC),an individually portable respiratory synchronized pulsed oxygen supply module for plateau application;there were several curative devices equipped in the operation panel,including a 3-way syringe,a high-speed turbine handpiece,an electric variable-speed handpiece,a water control switch,a light curing machine and an ultrasonic dental cleaning handpiece.Trials were carried out with the test-phase prototype in alpine regions so as to verify the performance of the device.Results Trials proved that the prototype gained advantages in mobility,multifunctionality and pressure supply facilitating continuous operation of power gas source for oral diagnosis and treatment in alpine regions.Conclusion The device developed solves the problems in pressure insufficiency and instability,control system integration,portability and oxygen supply for medical staffs,improves the mobility of oral diagnosis and treatment in alpine regions and enhances the oral support service and equipment effectively.[Chinese Medical Equipment Journal,2025,46(1):108-113]

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