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 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: 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

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:To study the safety and treatment outcomes of portal vein embolization (PVE) combined with lenvatinib plus an anti-programmed death-1(PD-1) antibody to treat patients with initially unreasectable hepatocellular carcinoma (uHCC).Methods:This study retrospectively analyzed the data of six patients with uHCC who received first-line combined systemic therapy with lenvatinib plus an anti-PD-1 antibody, and then underwent pre-hepatectomy PVE at the Department of Liver Surgery at Zhongshan Hospital, Fudan University from May 2019 to November 2020. All enrolled patients were males, aged (54.6±6.2) (ranged 46 to 63) years. Tumor response and liver volume were evaluated by medical imagings once every 2 months (±2 weeks) and evaluated using the Response Evaluation Criteria in Solid Tumours (version 1.1). Patients were followed-up by outpatient interviews or by phone calls to record their survival and tumor outcome status.Results:Three of the six enrolled patients had Barcelona Clinic Liver Cancer stage A and three had stage B disease. One patient achieved a partial response and five patients had stable diseases. The mean ± s. d. future liver remnant (FLR) percentage was (29.0±8.9) % before PVE and the combination therapy, and was (41.3±10.8) % before the last evaluation for liver surgery ( t=10.79, P<0.001). Hepatectomy was carried out in five patients, and one patient who failed to develop significant FLR hypertrophy did not undergo hepatectomy. Grade B post-hepatectomy liver failure and major postoperative complications (i.e. pleural effusion requiring additional percutaneous drainage) occurred in one patient. After a median post-operative follow-up of 4.5 (range: 1.0-12.3) months, all five patients were alive and were tumor free. Conclusion:PVE followed by hepatectomy is feasible in a uHCC patients receiving systemic therapy with lenvatinib and an anti-PD-1 antibody.

ObjectiveTo explore the mechanism of Yishen Huoxue prescription in renal interstitial fibrosis （RIF） from the perspective of endothelial cell and cell energy metabolism. MethodThe model was successfully established by unilateral ureteral obstruction （UUO）. Seventy-five SPF C57BL/6 mice were randomly divided into a model group， a resveratrol group （50 mg·kg^-1·d^-1）， three Yishen Huoxue prescription low， medium， and high-dose groups （7.1， 14.2， 28.4 g·kg^-1·d^-1）， with 15 mice in each group. In addition， another 15 mice were used to prepare sham operation model. Mice in the sham operation group and the model group were gavaged with equal volume of normal saline. All mice were sacrificed on 7， 14， and 21 d after modeling. The protein expression of platelet endothelial cell adhesion molecule 31 （CD31） was detected by immunohistochemical S-P method. The expression of α-smooth muscle actin （α-SMA）， collagen Ⅳ （Col-Ⅳ）， angiopoietin 1（Ang-1） and tyrosine kinase receptors 2 （Tie-2）， vascular endothelial growth factor （VEGF）， vascular endothelial cadherin （VE-cadherin）， and occludin in renal tissues was detected by Western blotting. The mRNA expressions of Ang-1/Tie-2， VEGF， VE-cadherin， and occludin in renal tissues were detected by Real-time fluorescence quantitative polymerase chain reaction（Real-time PCR）， and the levels of reactive oxygen species （ROS） in mice were detected by enzyme linked immunosorbent assay （ELISA）. ResultAs compared with the sham operation group， the expression of CD31 in renal tissues of the model group was significantly decreased and worsened with the extension of modeling time （P<0.05）， α-SAM and Col-Ⅳ protein expression levels were significantly increased （P<0.01）， but the expression of CD31 was stable in 14-21 d. ROS levels were significantly increased （P<0.01）， and the protein and mRNA expressions of Ang-1/Tie-2， VEGF， VE-cadherin， and occludin were significantly down-regulated （P<0.01）. As compared with the model group， the expression of CD31 was increased （P<0.05）， and α-SAM and Col-Ⅳ in the resveratrol group and the medium and high-dose Yishen Huoxue prescription groups were significantly decreased （P<0.01）. The ROS content was significantly decreased （P<0.01）， and the protein and mRNA expressions of Ang-1/Tie-2， VEGF， VE-cadherin， and occludin were up-regulated （P<0.01）， As compared with the resveratrol group， the protein expressions of Ang-1/Tie-2， VEGF， VE-cadherin， and occludin in the medium and low-dose Yishen Huoxue prescription groups were significantly different （P<0.01）. There was no significant difference in the mRNA expressions of CD31 and Ang-1/Tie-2 in the high-dose Yishen Huoxue prescription group， and no significant difference in the ROS level in the medium-dose Yishen Huoxue prescription group. ConclusionThe anti-RIF effect of Yishen Huoxue prescription may be related to promoting vascular endothelial repair， regulating mitochondrial ROS to reduce oxidative stress， protecting the integrity of renal endothelial structure， delaying cell apoptosis， and maintaining cell energy metabolism.

Ischemic stroke， an acute cerebrovascular disease caused by sudden arterial occlusion， is characterized by high morbidity， high mortality， and high disability rate. It is a major cause of the occurrence and death of neurologic diseases in the world. The phosphatidylinositol 3-kinase （PI3K）/protein kinase B （Akt） signaling pathway is a classic pathway for cellular metabolism， growth， and apoptosis. In recent years， Chinese medicine has played an important role in the treatment of ischemic stroke because of the small side effects and wide range of targets and has received extensive attention. The compound prescriptions and extracts of Chinese medicines can treat diseases via multiple targets and pathways. Researchers have extensively studied the occurrence and development of ischemic stroke and the pathophysiological mechanism of drug intervention in the treatment of ischemic stroke and have demonstrated that PI3K/Akt signaling pathway plays a key role in this process. The PI3K/Akt signaling pathway is involved in the occurrence and development of ischemic stroke by regulating pathophysiological processes such as inflammation， oxidative stress response， apoptosis， and autophagy， in which Chinese medicines play a regulatory role. This paper reviews the relationship between PI3K/Akt signaling pathway and ischemic stroke and the mechanism of Chinese medicine in treating ischemic stroke by regulating PI3K/Akt signaling pathway， aiming to provide a new theoretical basis for the clinical treatment of stroke.

OBJECTIVE: To explore the genetic basis for 7 patients with Alström syndrome. METHODS: DNA was extracted from peripheral blood samples of the patients and their parents. Whole exome sequencing was carried out for the patients. Suspected variant was verified by Sanger sequencing and bioinformatic analysis. RESULTS: Genetic testing revealed 12 variants of the ALMS1 gene among the 7 patients, including 7 nonsense and 5 frameshift variants, which included c.5418delC (p.Tyr1807Thrfs*23), c.10549C>T (p.Gln3517*), c.9145dupC (p.Thr3049Asnfs*12), c.10819C>T (p.Arg3607*), c.5701_5704delGAGA (p.Glu1901Argfs*18), c.9154_9155delCT (p.Cys3053Serfs*9), c.9460delG (p.Val3154*), c.9379C>T (p.Gln3127*), c.12115C>T (p.Gln4039*), c.1468dupA (p.Thr490Asnfs*15), c.10825C>T (p.Arg3609*) and c.3902C>A (p.Ser1301*). Among these, c.9154_ 9155delCT, c.9460delG, c.9379C>T, and c.1468dupA were unreported previously. Based on the standards and guidelines of American College of Medical Genetics and Genomics, the c.9379C>T and c.12115C>T variants of the ALMS1 gene were predicted to be likely pathogenic (PVS1+PM2), whilst the other 10 variants were predicted to be pathogenic (PVS1+ PM2+ PP3+PP4). CONCLUSION ALMS1 variants probably underlay the Alström syndrome in the 7 patients, and genetic testing can provide a basis for the clinical diagnosis of this syndrome. The discovery of four novel variants has expanded the mutational spectrum of Alström syndrome.
Alstrom Syndrome/genetics* ; Cell Cycle Proteins/genetics* ; Humans ; Mutation ; Pedigree ; Whole Exome Sequencing