Parkinson's disease （PD） is a complex neurodegenerative disease involving multiple systems and neurotransmitters. Due to the high clinical heterogeneity of PD，it is urgent to establish a comprehensive and long-term traditional Chinese medicine （TCM） management model. In this paper，the conceptual framework of full-cycle management of PD is preliminarily constructed：based on the evolution of the pathophysiological mechanisms of protein deposition and neurotransmitter disorder in PD，the three-stage syndrome characteristics of the prodromal stage （predominant healthy Qi with subtle pathogenic factors），the early clinical stage （declining healthy Qi with growing pathogenic factors） and the middle and late stages （overwhelming pathogenic factors with deficient healthy Qi） are longitudinally described. Through the syndrome differentiation of visceral manifestations，the etiology and pathogenesis of PD motor and non-motor symptoms were comprehensively analyzed，while the matching treatment methods and prescriptions were inferred，and the modular scheme of the combining main symptoms，accompanying symptoms and secondary symptoms was proposed. The conceptual gap of TCM regarding motor complications （'variable syndrome'） and PD-related hyperpyrexia syndrome （'critical syndrome'） was explained. This framework reflects the characteristics of combination of disease and syndrome and overall constant motion，and provides new theories and research ideas for individualized and whole-process management of PD in TCM.

Parkinson's disease （PD） is a complex neurodegenerative disease involving multiple systems and neurotransmitters. Due to the high clinical heterogeneity of PD，it is urgent to establish a comprehensive and long-term traditional Chinese medicine （TCM） management model. In this paper，the conceptual framework of full-cycle management of PD is preliminarily constructed：based on the evolution of the pathophysiological mechanisms of protein deposition and neurotransmitter disorder in PD，the three-stage syndrome characteristics of the prodromal stage （predominant healthy Qi with subtle pathogenic factors），the early clinical stage （declining healthy Qi with growing pathogenic factors） and the middle and late stages （overwhelming pathogenic factors with deficient healthy Qi） are longitudinally described. Through the syndrome differentiation of visceral manifestations，the etiology and pathogenesis of PD motor and non-motor symptoms were comprehensively analyzed，while the matching treatment methods and prescriptions were inferred，and the modular scheme of the combining main symptoms，accompanying symptoms and secondary symptoms was proposed. The conceptual gap of TCM regarding motor complications （'variable syndrome'） and PD-related hyperpyrexia syndrome （'critical syndrome'） was explained. This framework reflects the characteristics of combination of disease and syndrome and overall constant motion，and provides new theories and research ideas for individualized and whole-process management of PD in TCM.

Objective To evaluate the application value of artificial intelligence (AI) in the quality control of mammographic images and explore its feasibility for improving image quality. Methods A retrospective analysis was conducted on 500 mammographic images from 125 female patients. These images were acquired in December 2024 at the Department of Radiology, Obstetrics and Gynecology Hospital of Tongji University by two junior technologists with qualification certificate for junior radiologic technologists and ≤ 2 months of independent operation. The reference standard was the evaluation by a panel of senior experts comprising one associate chief radiologist and two intermediate radiologic technologists with over 10 years of experience in mammography. The evaluation was based on nine criteria within an AI quality control system. The correlation and consistency (Kappa test) of the assessment outcomes were compared among the junior technologist group, the AI quality control group, and the panel group. Additionally, the differences in the proportions of high-, medium-, and low-quality images rated by the three groups were analyzed. After one month of AI assistance, 200 images from 50 additional patients acquired by the same two junior technologists in January 2025 were collected. The area under the receiver operating characteristic curve and 95% confidence interval (95%CI) were calculated for the assessment performance of the junior technologist group before and after AI assistance. Differences were compared using the DeLong test. Changes in the disqualification rates for the nine criteria were analyzed. Results In consistency analysis, the AI quality control group showed high consistency with the panel group across multiple key criteria, with Kappa values ranging from 0.41 to 1.00. In contrast, the consistency between the junior technologist group and the panel group was generally low, with Kappa values ranging from 0.13 to 0.49. In comparison of image quality classification, no significant differences were observed in image quality classification between the AI group and the panel group (P>0.05). However, the proportion of images rated as high quality by the junior technologist group was significantly higher, while the proportions rated as medium and low quality were significantly lower, compared to those rated by the panel group (P<0.05). After AI assistance, the area under the receiver operating characteristic curve for the assessment performance of junior technologist group increased significantly from 0.56 (95%CI: 0.51-0.61) to 0.91 (95%CI: 0.87-0.94) (P<0.001). The disqualification rates for skin folds, incomplete inclusion of the pectoralis major muscle, and nipple not in profile decreased significantly. Conclusion AI demonstrates assessment capability comparable to the panel group in mammographic quality control. AI effectively enhances the quality of images acquired by junior technologists through real-time, objective feedback.

Objective To evaluate the application value of artificial intelligence (AI) in the quality control of mammographic images and explore its feasibility for improving image quality. Methods A retrospective analysis was conducted on 500 mammographic images from 125 female patients. These images were acquired in December 2024 at the Department of Radiology, Obstetrics and Gynecology Hospital of Tongji University by two junior technologists with qualification certificate for junior radiologic technologists and ≤ 2 months of independent operation. The reference standard was the evaluation by a panel of senior experts comprising one associate chief radiologist and two intermediate radiologic technologists with over 10 years of experience in mammography. The evaluation was based on nine criteria within an AI quality control system. The correlation and consistency (Kappa test) of the assessment outcomes were compared among the junior technologist group, the AI quality control group, and the panel group. Additionally, the differences in the proportions of high-, medium-, and low-quality images rated by the three groups were analyzed. After one month of AI assistance, 200 images from 50 additional patients acquired by the same two junior technologists in January 2025 were collected. The area under the receiver operating characteristic curve and 95% confidence interval (95%CI) were calculated for the assessment performance of the junior technologist group before and after AI assistance. Differences were compared using the DeLong test. Changes in the disqualification rates for the nine criteria were analyzed. Results In consistency analysis, the AI quality control group showed high consistency with the panel group across multiple key criteria, with Kappa values ranging from 0.41 to 1.00. In contrast, the consistency between the junior technologist group and the panel group was generally low, with Kappa values ranging from 0.13 to 0.49. In comparison of image quality classification, no significant differences were observed in image quality classification between the AI group and the panel group (P>0.05). However, the proportion of images rated as high quality by the junior technologist group was significantly higher, while the proportions rated as medium and low quality were significantly lower, compared to those rated by the panel group (P<0.05). After AI assistance, the area under the receiver operating characteristic curve for the assessment performance of junior technologist group increased significantly from 0.56 (95%CI: 0.51-0.61) to 0.91 (95%CI: 0.87-0.94) (P<0.001). The disqualification rates for skin folds, incomplete inclusion of the pectoralis major muscle, and nipple not in profile decreased significantly. Conclusion AI demonstrates assessment capability comparable to the panel group in mammographic quality control. AI effectively enhances the quality of images acquired by junior technologists through real-time, objective feedback.

Objective To evaluate the application value of artificial intelligence (AI) in the quality control of mammographic images and explore its feasibility for improving image quality. Methods A retrospective analysis was conducted on 500 mammographic images from 125 female patients. These images were acquired in December 2024 at the Department of Radiology, Obstetrics and Gynecology Hospital of Tongji University by two junior technologists with qualification certificate for junior radiologic technologists and ≤ 2 months of independent operation. The reference standard was the evaluation by a panel of senior experts comprising one associate chief radiologist and two intermediate radiologic technologists with over 10 years of experience in mammography. The evaluation was based on nine criteria within an AI quality control system. The correlation and consistency (Kappa test) of the assessment outcomes were compared among the junior technologist group, the AI quality control group, and the panel group. Additionally, the differences in the proportions of high-, medium-, and low-quality images rated by the three groups were analyzed. After one month of AI assistance, 200 images from 50 additional patients acquired by the same two junior technologists in January 2025 were collected. The area under the receiver operating characteristic curve and 95% confidence interval (95%CI) were calculated for the assessment performance of the junior technologist group before and after AI assistance. Differences were compared using the DeLong test. Changes in the disqualification rates for the nine criteria were analyzed. Results In consistency analysis, the AI quality control group showed high consistency with the panel group across multiple key criteria, with Kappa values ranging from 0.41 to 1.00. In contrast, the consistency between the junior technologist group and the panel group was generally low, with Kappa values ranging from 0.13 to 0.49. In comparison of image quality classification, no significant differences were observed in image quality classification between the AI group and the panel group (P>0.05). However, the proportion of images rated as high quality by the junior technologist group was significantly higher, while the proportions rated as medium and low quality were significantly lower, compared to those rated by the panel group (P<0.05). After AI assistance, the area under the receiver operating characteristic curve for the assessment performance of junior technologist group increased significantly from 0.56 (95%CI: 0.51-0.61) to 0.91 (95%CI: 0.87-0.94) (P<0.001). The disqualification rates for skin folds, incomplete inclusion of the pectoralis major muscle, and nipple not in profile decreased significantly. Conclusion AI demonstrates assessment capability comparable to the panel group in mammographic quality control. AI effectively enhances the quality of images acquired by junior technologists through real-time, objective feedback.

ObjectiveTo analyze the lipid characteristics and related risk factors of children with Wilson disease （WD）. MethodsThe clinical data of 315 children with WD and 248 healthy children who underwent physical examination were retrospectively collected. The differences in lipid levels between the two groups were compared. The WD group was divided into the normal lipid group （85 cases） and the dyslipidemia group （230 cases） according to lipid levels. General data and biochemical indicators were compared between the two groups， and multivariate Logistic regression analysis was used to analyze the independent risk factors for dyslipidemia in children with WD. ResultsThe incidence of dyslipidemia in children with WD was 73.0% （230/315）， comprising 77 cases （33.5%） of hypertriglyceridemia， 11 cases （4.8%） of hypercholesterolemia， 104 cases （45.2%） of combined hyperlipidemia， 9 cases （3.9%） of hyperlipoprotein（a）emia， and 29 cases （12.6%） of hypoalphalipoproteinemia. There were statistically significant differences in age distribution among different types of dyslipidemia （P<0.05）， whereas no significant differences were observed in gender distribution （P>0.05）. Compared with the normal lipid group， the dyslipidemia group showed significantly higher levels of homocysteine， superoxide dismutase （SOD）， platelet count （PLT）， fibrinogen， alanine aminotransferase， aspartate aminotransferase， γ-glutamyl transferase， uric acid， cystatin C （Cys-C）， type IV collagen （C-IV）， and laminin （all P<0.05）. Multivariate Logistic regression analysis showed that C-IV （OR=5.037， 95% CI： 2.562-9.900）， PLT （OR=2.297， 95% CI： 1.580-3.339）， Cys-C （OR=2.008， 95% CI： 1.395-2.890）， and SOD （OR=1.996， 95% CI： 1.342-2.970） were all independent risk factors for dyslipidemia in children with WD. ConclusionChildren with WD have a high incidence of dyslipidemia， which is dominated by combined hyperlipidemia and hypertriglyceridemia. C-IV， PLT， Cys-C， and SOD are independent risk factors for dyslipidemia in children with WD.

ObjectiveTo investigate the effects of Hei Xiaoyaosan on neuroinflammation in APP/PS1 mice and decipher the mechanism based on the C-X3-C chemokine ligand 1 （CX3CL1）-CX3CL1 receptor 1 （CX3CR1） signaling axis. MethodsSixty 16-week-old male APP/PS1 mice were selected and acclimatized for one week， and they were then randomly allocated into a model group， a CX3CL1 group （bilateral hippocampal injection of CX3CL1 at 0.5 g·L^-1）， and high-， medium-， and low-dose （22.10， 11.05， and 5.53 g·kg^-1， respectively） Hei Xiaoyaosan groups， with 12 mice in each group. Twelve age-matched male C57BL/6J mice served as the blank group （bilateral hippocampal injection of an equal volume of PBS）. The high-， medium-， and low-dose Hei Xiaoyaosan groups received corresponding drugs via gavage， while the blank group received an equal volume of normal saline， with an intervention period of 90 days. Morris water maze was used to assess learning and memory abilities. Nissl staining was performed to observe the pathological changes in neurons of the hippocampal CA1 region. Immunohistochemistry was adopted to detect amyloid-β_1-42 （Aβ_1-42） deposition in the hippocampal CA1 region. The immunofluorescence assay was employed to detect the expression of M1 and M2 microglial markers， including cluster of differentiation 86 （CD86）/ionized calcium-binding adapter molecule 1 （Iba-1） and arginase-1 （Arg1）/Iba1. Enzyme-linked immunosorbent assay （ELISA） was employed to measure the levels of interleukin-8 （IL-8） and interleukin-13 （IL-13） in the hippocampal tissue. Western blot was employed to determine the protein levels of CX3CL1， CX3CR1， CREB-binding protein （CBP）， cyclic AMP response element-binding protein （CREB）， phosphorylated （p）-CREB， and brain-derived neurotrophic factor （BDNF） in the hippocampal tissue. ResultsCompared with the blank group， the model group exhibited prolonged escape latency on day 5 and a reduced swimming distance in the target quadrant （P<0.01）， disarrangement of hippocampal neurons， with a reduced number of cells and uneven Nissl body staining， increased CD86/Iba1 expression， decreased Arg1/Iba1 expression （P<0.01）， enhanced Aβ expression （P<0.01）， an elevated IL-8 level and a declined IL-13 level （P<0.01）， and downregulated protein levels of CX3CL1， CX3CR1， CBP， p-CREB， and BDNF （P<0.01）. Compared with the model group， all treatment groups showed shortened escape latency on day 5 and an increased swimming distance in the target quadrant （P<0.05， P<0.01）， regular arrangement of neurons with an increased number and increased Nissl bodies， reduced CD86/Iba1 expression， increased Arg1/Iba1 and decreased Aβ expression （P<0.01）， and a declined IL-8 level and an elevated IL-13 level （P<0.05， P<0.01）. In the CX3CL1 group and the high- and medium-dose Hei Xiaoyaosan groups， the relative expression levels of CX3CL1， CX3CR1， CBP， and p-CREB were upregulated （P<0.01）. In the low-dose Hei Xiaoyaosan group， the relative expression levels of CX3CL1， CX3CR1， CBP， p-CREB/CREB， and BDNF were upregulated （P<0.05， P<0.01）. ConclusionHei Xiaoyaosan can improve learning and cognitive abilities in APP/PS1 mice. Specifically， it may regulate the CX3CL1/CX3CR1 signaling axis to activate the CREB/BDNF signaling pathway for the subsequent release of BDNF， modulation of microglial polarization， reduction of inflammatory cytokine levels， and attenuation of Aβ deposition.

Objective To investigate prognostic value of serum levels of cathepsin B(CTSB)and NADPH oxidase 4(NOX4)in patients with sepsis associated acute kidney injury(S-AKI).Methods A total of 306 pa-tients with sepsis treated to the hospital from June 2023 to June 2024 were selected,including 192 patients with S-AKI(S-AKI group)and 114 patients without S-AKI(non-S-AKI group).According to the prognosis of S-AKI patients,they were divided into poor prognosis group(n=127)and non-poor prognosis group(n=65).The differences of CTSB and NOX4 in different groups were compared.Pearson analysis was conducted to analyze the correlation between CTSB,NOX4 and clinical indicators.The influencing factors of poor prognosis in S-AKI patients was analyzed according to multivariate Logistic regression.Receiver operating characteristic(ROC)curve was used to analyze the predictive value of CTSB and NOX4 on the poor prognosis of S-AKI pa-tients.Results Th e serum levels of CTSB,NOX4 and serum creatinine(SCr)in S-AKI group were signifi-cantly higher than those in non-S-AKI group(P＜0.05),while the mean arterial pressure and oxygenation in-dex were lower than those in non-S-AKI group(P＜0.05).Serum levels of CTSB and NOX4 in patients with sepsis were positively correlated with SCr(P＜0.05).Compared to non-poor prognosis group,the age,SCr,CTSB and NOX4 of patients in the poor prognosis group were higher,while the mean arterial pressure and ox-ygenation index were lower(P＜0.05).The increased mean arterial pressure and oxygenation index were pro-tective factors for poor prognosis in S-AKI patients(P＜0.05),and the increased age,SCr,CTSB and NOX4 levels were risk factors for poor prognosis in S-AKI patients(P＜0.05).ROC curve showed that the area un-der the curve(AUC)of CTSB combined with NOX4 was significantly higher than AUC of single detection of CTSB and NOX4(Z=4.066,P＜0.001,Z=3.801,P＜0.001).Conclusion The serum levels of CTSB and NOX4 in S-AKI patients are elevated,and can indirectly reflect kidney function.CTSB combined with NOX4 can significantly improve the prediction efficiency of poor prognosis in S-AKI patients,which has potential ap-plication value for clinical treatment and nursing.

Objective To discuss the clinical efficacy of catheter-directed thrombolysis(CDT)in treating acute pulmonary embolism(APE).Methods A total of 215 patients with APE,who were admitted to the Second Affiliated Hospital of Shandong First Medical University of China,were enrolled in this study.Pulmonary angiography was performed in all the patients.After the location of the thrombus was identified,the pigtail catheter was rotated so as to break the thrombus into small pieces,which was followed by local infusion of thrombolytic agent urokinase to make recanalization of the occluded pulmonary artery.The postoperative clinical symptoms,blood oxygen saturation,mean pulmonary artery pressure,BNP,D-dimer,RV/LV diameter ratio were compared with their preoperative values.PESI scoring was used to evaluate the severity of the pulmonary embolism.Patients with PESI grade-Ⅲ and PESI grade-Ⅳ were classified into medium-risk group,and patients with PESI grade-V were classified into higher-risk group.Results Symptom relief immediately after surgery was observed in 210 patients,complete recanalization of pulmonary artery was achieved in 200 patients,and partial recanalization of pulmonary artery was seen in 15 patients.The preoperative mean pulmonary artery pressure,blood oxygen saturation,BNP,D-dimer,RV/LV diameter ratio were(46.24±5.32)mmHg,(90.36±3.23)％,(8 000.12±750.56)pg/mL,(7.5±2.3)mg/L and(1.63±0.22)respectively;at one week after surgery the above indicators were(26.12±3.36)mmHg,(98.74±2.12)％,(240.35±33.52)pg/mL,(1.75±0.36)mg/L and(1.11±0.13)respectively;the differences were statistically significant(all P＜0.05).In the patients who had symptoms of hemoptysis,shock and syncope before surgery,all these symptoms were completely disappeared in one week after CDT,and the symptoms of dyspnea,chest pain,and palpitations were significantly relieved after CDT,the differences were statistically significant(all P＜0.05).The difference in survival time between different PESI grade groups was statistically significant(P＜0.05).No serious postoperative complications such as severe arrhythmia,cerebral hemorrhage,or gastrointestinal bleeding occurred.Postoperative 3-month CT pulmonary angiography(CTPA)showed that the main pulmonary artery was well visualized and no thrombus-produced filling defect shadow was detected.Conclusion For the treatment of APE,CDT can promptly and rapidly open the obstructed pulmonary artery lumen,restore pulmonary artery hemodynamics,and correct hypoxemia.Therefore,CDT is a safe,effective and quick treatment for APE.

Biomaterials provide a reliable and safe treatment for the repair of ear defects,especially microtia.With the continuous promotion of interdisciplinary research,the types and properties of materials used in auricle reconstruction have been greatly expanded and improved.In this paper,the latest research progress of polymer materials and tissue engineering scaffolds in the field of auricle reconstruction was reviewed,and the physical and chemical properties and clinical application effects of these scaffolds in vitro and in vivo were discussed.However,despite significant progress in ear stent research,there are still some challenges and limitations in the application of current polymer materials,such as the hydrophobicity of high-density polyethylene and the uncontrolled differen-tiation of stem cells in tissue engineering.Therefore,this paper discusses the research and clinical application of new modified materials,especially emphasizing the importance of surface modification technology and innovative synthesis strategies,so that the properties of modified materials are infinitely close to the characteristics of human ear cartilage.In addition,this paper also summarizes the control methods of stem cell differentiation in ear carti-lage tissue engineering.The application performance and biocompatibility of different ear scaffolds were reviewed in order to provide guidance for auricle reconstruction.