Objective To investigate the value of serum lipoprotein-associated phospholipase A2(Lp-PLA2)for predicting high-risk coronary plaques in elderly males.Methods A retrospective study was conducted on 46 elderly males aged ≥60 years undergoing health check-ups and coro-nary computed tomography angiography in our hospital between May and July 2024.Their general clinical data were collected.Artificial intelligence software was used to analyze coronary calcium scores and plaque characteristics.The participants were divided into a high-risk plaque group(n=15)and a non-high-risk plaque group(n=31).The differences were compared between the two groups.Multivariate logistic regression analysis was used to identify the influencing factors for high-risk coronary plaques.ROC curve was plotted to determine the predictive value of serum Lp-PLA2 for high-risk plaques,and its AUC value was calculated.Results The high-risk plaque group had significantly larger proportions of smoking history and hyperlipidemia,and higher level of homocysteine and Lp-PLA2 than the non-high-risk plaque group(P＜0.05,P＜0.01).Multiva-riate logistic regression analysis indicated that Lp-PLA2 was an independent risk factor for high-risk coronary plaques(HR=1.030,95％CI:1.008-1.053,P＜0.05).ROC curve analysis revealed that the AUC value of Lp-PLA2 in predicting high-risk coronary plaques was 0.833(95％CI:0.694-0.927,P＜0.01),with a sensitivity of 93.3％,a specificity of 71.0％,a positive predictive value of 62.5％,and a negative predictive value of 100％.Conclusion Serum Lp-PLA2 is of signif-icant value in predicting high-risk coronary plaques in elderly men.

Objective:In order to reduce the trauma associated with fetal cardiopulmonary bypass(F-CPB), Our team plans to develop a minimally invasive F-CPB through a small incision in the right axilla. The efficacy of this technique will be verified by using a big experimental animal model, thereby laying the foundation for fetal cardiac surgery supported by F-CPB in the future.Methods:Ten pregnant sheep were divided into F-CPB group(n=5) and control group(n=5). After fasting for 24 h, fetal lambs in the F-CPB group underwent a right axillary incision to establish F-CPB running for 1 h; The control group of fetal lambs only expose heart 1 h without F-CPB. Collect blood sample for laboratory test at the CPB vehicle before(T0), 30 min(T1), and 1 h after F-CPB running(T2) for the F-CPB group and through Superior Vena Cava before(T0), 30 min(T1), and 1 h after F-CPB running(T2) for the control group.Results:The blood routine indicators such as RBC, HCT, and Hb in the F-CPB group of fetal lambs decreased significantly during F-CPB, and their distribution showed significant statistical differences compared with the control group( P<0.05). There were no significant statistical differences in blood gas indicators such as pH, PO 2, PCO 2, and lactate concentration between the F-CPB group and the control group( P>0.05). There was no statistically significant difference in the concentration of cTnI in fetal lamb serum at each time point( P>0.05). There were significant statistical differences( P<0.05) in the distribution of fetal lamb Alb, γ-GGT, CK concentration and cholesterol concentration at various time points in the F-CPB group compared with the control group in liver function examination. In addition, the distribution of BUN in fetal lambs showed a significant difference between the two groups( P=0.006). Conclusion:A minimally invasive F-CPB via small incision in the right axilla is safe and feasible. The experimental animal model has demonstrated that this technique has minimal impact on the vital organ functions and internal environment of fetal lambs, thereby laying the foundation for clinical fetal cardiac surgery in the future.

Objective To establish an effective model for distinguishing glandular prodromal lesions(PGL)mixed with ground-glass nodules(mGGN)from minimally invasive adenocarcinoma(MIA)on CT based on artificial intelligence.Methods A retrospective analysis was conducted on the clinical and CT image data of 180 patients with lung adenocarcinoma confirmed by surgical pathology and with CT manifestations of mGGN in the First Affiliated Hospital of Wenzhou Medical University from January 2017 to June 2023,inclu-ding 66 patients with PGL and 114 patients with MIA.Patients were divided into the training set(n=144)and the test set(n=36)in an 8∶2 ratio using a completely random method.The quantitative parameters and radiomics features of the lesions in CT images were automatically extracted using artificial intelligence soft-ware(United Imaging Research Platform uRP).By incorporating the most obvious correlation features of omics through dimensionality reduction,five machine learning classifiers were established,including logistic regression(LR),support vector machine(SVM),Random forest(RF),Gaussian process(GP),and Decision Tree(DT).The classifier with the training set highest area under the curve(AUC)was selected as the best radiomics model,and output the result as radiomics score(Rad-score).The clinical information,CT morpho-logical characteristics and quantitative data of the two groups were included in the multivariate logistic regres-sion analysis to screen the independent influencing factors for effectively differentiating PGL and MIA,and a clinical model was established.Finally,a comprehensive prediction model was constructed based on Rad-score and clinical risk factors.The diagnostic performance of the three models was evaluated by using the AUC,sen-sitivity,specificity and accuracy of receiver operating characteristic(ROC)curve.Results Eleven radiomics features for distinguishing PGL from MIA were obtained through LASSO dimensionality reduction.Among the five machine learning classifiers,GP has the best diagnostic performance,with AUC of 0.865 in the train-ing set and 0.762 in the test set,respectively.Univariate and multivariate logistic regression analyses were used for clinical feature screening.The clinical model was constructed by using the average CT value,average long and short diameter,and solid partial long diameter of mGGN,and the AUCs of the training set and the test set were 0.870 and 0.794,respectively.The comprehensive prediction model demonstrated superior diag-nostic performance,with AUC,sensitivity,specificity,and accuracy in the training set being 0.948,81.1%,91.2%and 87.5%respectively,while 0.883,76.9%,91.3%and 86.1%respectively in the test set.Conclu-sion The comprehensive prediction model established based on the quantitative and omics feature analysis of pulmonary nodules by artificial intelligence can well distinguish mGGN mixed with PGL from MIA on CT,and can be used to guide clinical treatment decisions.

Objective To investigate the value of serum lipoprotein-associated phospholipase A2(Lp-PLA2)for predicting high-risk coronary plaques in elderly males.Methods A retrospective study was conducted on 46 elderly males aged ≥60 years undergoing health check-ups and coro-nary computed tomography angiography in our hospital between May and July 2024.Their general clinical data were collected.Artificial intelligence software was used to analyze coronary calcium scores and plaque characteristics.The participants were divided into a high-risk plaque group(n=15)and a non-high-risk plaque group(n=31).The differences were compared between the two groups.Multivariate logistic regression analysis was used to identify the influencing factors for high-risk coronary plaques.ROC curve was plotted to determine the predictive value of serum Lp-PLA2 for high-risk plaques,and its AUC value was calculated.Results The high-risk plaque group had significantly larger proportions of smoking history and hyperlipidemia,and higher level of homocysteine and Lp-PLA2 than the non-high-risk plaque group(P＜0.05,P＜0.01).Multiva-riate logistic regression analysis indicated that Lp-PLA2 was an independent risk factor for high-risk coronary plaques(HR=1.030,95％CI:1.008-1.053,P＜0.05).ROC curve analysis revealed that the AUC value of Lp-PLA2 in predicting high-risk coronary plaques was 0.833(95％CI:0.694-0.927,P＜0.01),with a sensitivity of 93.3％,a specificity of 71.0％,a positive predictive value of 62.5％,and a negative predictive value of 100％.Conclusion Serum Lp-PLA2 is of signif-icant value in predicting high-risk coronary plaques in elderly men.

Objective:In order to reduce the trauma associated with fetal cardiopulmonary bypass(F-CPB), Our team plans to develop a minimally invasive F-CPB through a small incision in the right axilla. The efficacy of this technique will be verified by using a big experimental animal model, thereby laying the foundation for fetal cardiac surgery supported by F-CPB in the future.Methods:Ten pregnant sheep were divided into F-CPB group(n=5) and control group(n=5). After fasting for 24 h, fetal lambs in the F-CPB group underwent a right axillary incision to establish F-CPB running for 1 h; The control group of fetal lambs only expose heart 1 h without F-CPB. Collect blood sample for laboratory test at the CPB vehicle before(T0), 30 min(T1), and 1 h after F-CPB running(T2) for the F-CPB group and through Superior Vena Cava before(T0), 30 min(T1), and 1 h after F-CPB running(T2) for the control group.Results:The blood routine indicators such as RBC, HCT, and Hb in the F-CPB group of fetal lambs decreased significantly during F-CPB, and their distribution showed significant statistical differences compared with the control group( P<0.05). There were no significant statistical differences in blood gas indicators such as pH, PO 2, PCO 2, and lactate concentration between the F-CPB group and the control group( P>0.05). There was no statistically significant difference in the concentration of cTnI in fetal lamb serum at each time point( P>0.05). There were significant statistical differences( P<0.05) in the distribution of fetal lamb Alb, γ-GGT, CK concentration and cholesterol concentration at various time points in the F-CPB group compared with the control group in liver function examination. In addition, the distribution of BUN in fetal lambs showed a significant difference between the two groups( P=0.006). Conclusion:A minimally invasive F-CPB via small incision in the right axilla is safe and feasible. The experimental animal model has demonstrated that this technique has minimal impact on the vital organ functions and internal environment of fetal lambs, thereby laying the foundation for clinical fetal cardiac surgery in the future.

Objective To evaluate the mechanism of governor vessel electroacupuncture in rats with post-stroke limb spasm by observing the changes of glutathione antioxidant system-related factors.Methods A total of 60 SD rats were randomly divided into the normal group(n=12),sham operation group(n=12)and modeling group(n=36).The middle cerebral artery obstruction model was prepared by thread approach method in the modeling group,and 24 rats with successful modeling were randomly divided into the model group and the electroacupuncture group,with 12 rats in each group.At the 3rd day after modeling,the electroacupuncture group was treated with electroacupuncture at three acupoints of the governor vessel,namely,"Dazhui"(GV14),"Jizhong"(GV6)and"Houhui"(anteromedial of the transverse process of the sixth lumbar vertebra),for 30 min each time,once a day for 7 days.The neurological function of rats was assessed by Zea Longa neurological deficit score.The muscle tension of rats was detected by modified Ashworth dystonia rating and electrophysiological tracing method.The brain tissue water content was measured by the dry-wet weight method.The volume of cerebral infarction of rats was measured by the TTC staining method.The contents of glutathione(GSH),catalase(CAT),oxidized glutathione(GSSG),superoxide dismutase(SOD),and malondialdehyde(MDA)in the cortex of rats were detected by colorimetry.The protein and mRNA expressions of glutathione reductase(GR),glutamate cysteine ligase(GCL)C,GCLM,and glutathione peroxidase 4(GPX4)in the cortex of rats were measured by Western blotting and real-time PCR,respectively.Results Compared with rats in the normal and sham operation groups,the Zea Longa neurological deficit score,modified Ashworth dystonia rating,the volume of cerebral infarction,brain tissue water content,and GSSG and MDA contents in cortex were increased in the model group,the tension signal value and the proteins and mRNA expressions of GR,GCLC,GCLM,and GPX4 in cortex were decreased,and the contents of GSH,CAT,and SOD in cortex were decreased(P＜0.05).Compared with the model group,the Zea Longa neurological deficit score,modified Ashworth dystonia rating,the volume of cerebral infarction,brain tissue water content,and GSSG and MDA contents in cortex were decreased in the electroacupuncture group,the tension signal value and the proteins and mRNA expressions of GR,GCLC,GCLM,and GPX4 in cortex were increased,and the contents of GSH,CAT,and SOD in cortex were increased(P＜0.05).Conclusion Governor vessel electroacupuncture can improve the severity of post-stroke limb spasm in rats,and its mechanism may be related to the regulation of glutathione antioxidant system in cerebral cortex.

Aristolochic acid (AA), extracted from Aristolochiaceae plants, plays an essential role in traditional herbal medicines and is used for different diseases. However, AA has been found to be nephrotoxic and is known to cause aristolochic acid nephropathy (AAN).AA-induced acute kidney injury (AKI) is a syndrome in AAN with a high morbidity that manifests mitochondrial damage as a key part of its pathological progression. Melatonin primarily serves as a mitochondria-targeted antioxidant. However, its mitochondrial protective role in AA-induced AKI is barely reported. In this study, mice were administrated 2.5 mg/kg AA to induce AKI. Melatonin reduced the increase in Upro and Scr and attenuated the necrosis and atrophy of renal proximal tubules in mice exposed to AA. Melatonin suppressed ROS generation, MDA levels and iNOS expression and increased SOD activities in vivo and in vitro. Intriguingly, the in vivo study revealed that melatonin decreased mitochondrial fragmentation in renal proximal tubular cells and increased ATP levels in kidney tissues in response to AA. In vitro, melatonin restored the mitochondrial membrane potential (MMP) in NRK-52E and HK-2 cells and led to an elevation in ATP levels. Confocal immunofluorescence data showed that puncta containing Mito-tracker and GFP-LC3A/B were reduced, thereby impeding the mitophagy of tubular epithelial cells. Furthermore, melatonin decreased LC3A/B-II expression and increased p62 expression. The apoptosis of tubular epithelial cells induced by AA was decreased. Therefore, our findings revealed that melatonin could prevent AA-induced AKI by attenuating mitochondrial damage, which may provide a potential therapeutic method for renal AA toxicity.

Objective Constructing a risk prediction model of IgA nephropathy proteinuria treated by traditional Chinese medicine based on random survival forest model,Screening prognostic risk factors of IgA nephropathy proteinuria.Methods Collecting retrospectively clinical data of 129 cases diagnosed with IgA nephropathy,randomly divided them into training set(60%)and test set(40%).The risk prediction model of IgA nephropathy proteinuria was constructed in the training set with the random survival forest model,and the prognostic risk factors were screened by VIMP method.The accuracy of risk prediction model was validated in the test set with time-dependent ROC curve(tdROC).Results According to the result of VIMP,the prognostic risk factors for IgA nephropathy proteinuria are in the order of eGFR,hypertension,traditional Chinese medicine,24 hUPRO>1 g,genomo sclerosis ratio,Lee grading,fat,hyperlipidemia,hypertrophymia,hyparmane ledmia,Anemia,age and gender.The eGFR was negatively and non-linearly associated with the risk rate of developing persistent proteinuria.Glomerulosclerosis ratio greater than 0.3 is approximately linearly and positively associated with the risk rate of persistent proteinuria.Conclusion Random survival forest model has good predictive performance in the risk prediction model of IgA nephropathy proteinuria treated by traditional Chinese medicine.This risk model can determine the result of IgA nephropathy treated by traditional Chinese medicine,and which is helpful for clinical follow-up monitoring and formulation of individualized treatment plans.

Objective:To explore the latent classes of parental feeding behaviors in preschool children, and to examine the relationship between potential types of parental feeding behaviors and parental depression status.Methods:From May to July 2021, parents of preschoolers from eight kindergartens in Shanghai were recruited and investigated.A paper-based questionnaire consisting of the Chinese preschooler’s caregivers’ feeding behavior scale (CPCFBS) and the center for epidemiological studies depression scale (CESD-10) was employed.Finally, a total of 1 006 valid questionnaires were retrieved.Mplus 8.0 and SPSS 26.0 were used for statistical analysis.The latent class analysis was used to identify subgroups of parents based on their feeding practices.Multinomial Logistic regression was used to examine the relevant influencing factors.Results:The feeding behaviors of parental of preschool children could be divided into four potential categories: " high responsiveness and high non-responsiveness type" (24.55%), " low responsiveness and high non-responsiveness type" (27.44%), " high responsiveness and low non-responsiveness type" (28.33%) and " low responsiveness and low non-responsiveness type" (19.68%). The parents with depression status were less likely to be categorized as " high responsiveness and low non-responsiveness type" ( OR=0.386, 95% CI: 0.218-0.684). The parents with older children were more likely to be categorized as " low responsiveness and low non-responsiveness type" ( OR=1.318, 95% CI: 1.039-1.672). Conclusion:The feeding practices of parents of preschool children can be categorized into four latent classes.The parents with depression status are more likely to adopt non-responsive feeding practice than responsive feeding practice.Actively paying attention to and improving the depression status of parents may help the feeder to adopt scientific feeding behavior.

OBJECTIVE: Current mainstream PET scattering correction methods are introduced and evaluated horizontally, and finally, the existing problems and development direction of scattering correction are discussed. METHODS: Based on NeuWise Pro PET/CT products of Neusoft Medical System Co. Ltd. , the simulation experiment is carried out to evaluate the influence of radionuclide distribution out of FOV (field of view) on the scattering estimation accuracy of each method. RESULTS: The scattering events produced by radionuclide out of FOV have an obvious impact on the spatial distribution of scattering, which should be considered in the model. The scattering estimation accuracy of Monte Carlo method is higher than single scatter simulation (SSS). CONCLUSIONS Clinically, if the activity of the adjacent parts out of the FOV is high, such as brain, liver, kidney and bladder, it is likely to lead to the deviation of scattering estimation. Considering the Monte Carlo scattering estimation of the distribution of radionuclide out of FOV, it's helpful to improve the accuracy of scattering distribution estimation.
Positron Emission Tomography Computed Tomography ; Scattering, Radiation ; Computer Simulation ; Brain ; Monte Carlo Method ; Phantoms, Imaging ; Image Processing, Computer-Assisted