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 explore the mechanism of Yiqi yangyin huazhuo tongluo formula in ameliorating diabetic kidney disease （DKD） based on the gut microbiota-lipopolysaccharide （LPS）/Caspase-11/gasdermin D （GSDMD） pathway.METHODS A DKD mouse model was established by high-fat and high-sugar diet combined with intraperitoneal injection of low-dose streptozotocin. The successfully modeled mice were randomly divided into model group， metformin group （positive control， 200 mg/kg） and Yiqi yangyin huazhuo tongluo formula group （32.4 g/kg， calculated as crude drug dosage）， with 10 mice in each group； another 10 mice were set as the control group. Mice were intragastrically administered with corresponding drug solutions or normal saline once a day for 8 consecutive weeks. After the last administration， serum glycolipid metabolism indicators and urinary renal function indicators of mice were determined； the pathological and morphological changes of renal and colonic tissues were observed； LPS contents in renal tissues， colonic contents and serum were detected. 16S rRNA high-throughput sequencing was performed for gut microbiota analysis of colonic contents. The protein expressions of Occludin and zonula occludens-1 （ZO-1） in colonic tissues as well as Caspase-11 and GSDMD in renal tissues were detected.RESULTS Compared with the control group， the model group exhibited significantly elevated levels of serum fasting blood glucose， triglyceride， total cholesterol， serum creatinine， blood urea nitrogen and microalbumin， LPS contents in each sample， as well as protein expressions of Caspase-11 and GSDMD in renal tissues （ P ＜0.05）. The protein expressions of ZO-1 and Occludin in colonic tissues， together with Chao1 and Ace indices of gut microbiota， were markedly decreased （ P ＜0.05）， and the ratio of Firmicutes to Bacteroidetes was abnormally increased. Obvious histopathological changes were observed in renal and colonic tissues； the percentage of PAS-positive area in kidney was markedly increased （ P ＜0.05）. Compared with the model group， the Yiqi yangyin huazhuo tongluo formula group showed remarkable reductions in glycolipid metabolism and renal function-related indicators（except total cholesterol）， LPS contents in various samples， and renal protein expressions of Caspase-11 and GSDMD （ P ＜0.05）. The protein expression level of ZO-1 in colonic tissues and the Ace index of gut microbiota were significantly increased （ P ＜0.05）， and the relative abundance of beneficial genera including Bifidobacterium ， Faecalibaculum and Akkermansia in the gut microbiota was elevated.CONCLUSIONS The mechanism by which Yiqi yangyin huazhuo tongluo formula ameliorates DKD may be related to reshaping gut microbiota， repairing intestinal mucosal barrier， reducing LPS translocation into blood， and further inhibiting Caspase-11/GSDMD-mediated pyroptosis in kidney.

Viral pneumonia in the Lancang-Mekong River Basin exhibits distinct regional epidemiological characteristics and pathogenic mechanisms. Filthy dampness constitutes the core pathogenic factor of the disease here， and the core pathogenesis lies in the yang failing to be stored in the you （酉） position. Clinically， the fundamental therapeutic principle is established as boosting qi to expel filth and guiding yang qi to descend and converge into the you position. In the early stage， the pathogenesis is characterized by the pervasive diffusion of filthy dampness， yang qi floating externally and failing to be stored， and the lung failing to diffuse qi. The treatment focuses on invigorating yang qi to dispel filth and dredging the you pathways， primarily using modified Ganlu Xiaodu Decoction （甘露消毒丹）. In the progressive stage， the pathogenesis involves the tenacious stagnation of filthy dampness， yang constraint transforming into heat， and the rampant spread of heat-toxins. The therapeutic approach shifts to acrid medicinals for opening and bitter medicinals for promoting descent， rectifying healthy qi to expel filth， utilizing modified Dayuan Beverage （达原饮）. In the recovery stage， filthy dampness gradually recedes， accompanied by the depletion of qi and yin， and insufficient kidney yang. The treatment emphasizes supplementing qi and nourishing yin， accompanied by warming yang， with modified Yunv Decoction （玉女煎）.

Objective:To establish a three-dimensional U-shaped residual coordinated attention network (URCA-Net) based on enhanced CT images for small bowel polyp detection and analyze its application effectiveness in intelligent detection of small bowel polyps.Methods:Abdominal CT data of patients with small bowel polyps were collected from the Air Force Medical Center between June 2019 and July 2023. All patients underwent bowel preparation followed by thin-slice spiral CT scanning to obtain enhanced CT arterial phase images. The data were randomly divided into training, validation and test sets in an 8∶1∶1 ratio. The URCA-Net deep learning model was used for small bowel polyp segmentation. The training set was used for model parameter training, the validation set for hyperparameter adjustment and monitoring of model generalization performance and the test set for final unbiased evaluation of the model. An early intelligent detection model for small bowel polyps was constructed, and its performance was evaluated. Evaluation metrics included pixel-level metrics for the segmentation task [Dice Similarity Coefficient (DSC)], as well as sensitivity and precision for polyp detection. A two-stage segmentation strategy was adopted: the first stage segmented the small bowel region to remove external interference, and the second stage performed polyp segmentation within the small bowel region.Results:A total of 78 subjects were included in the study, with an average age of (54±7) years. A total of 23 400 scan images were extracted, including 136 hyperplastic polyps, 298 hamartomatous polyps, 14 adenomatous polyps, and 4 cancerous polyps. On the test set, the average DSC for the first stage (small bowel segmentation) and the second stage (polyp segmentation) was 0.790 and 0.314, respectively. In the second stage task (polyp segmentation based on small bowel region), the polyp segmentation DSC increased to 0.701, with a precision of 0.836 (95% CI: 0.700-0.972) and a sensitivity of 0.759 (95% CI: 0.631-0.888) for polyp detection. Conclusion:The URCA-Net deep learning technique demonstrates good auxiliary diagnostic effectiveness in small bowel polyp detection and can provide a reference for screening and detection of small bowel polyps. The model is capable of generating high-quality segmentation results, which could facilitate evaluating polyp lesion morphology and provide support for downstream tasks such as preoperative navigation and risk prediction.

Objective:To investigate the expressions of serum cytokines in patients with autoimmune retinopathy (AIR), and their association with disease diagnosis as well as clinical features.Methods:A prospective case-control study was conducted.A total of 90 eyes of 45 AIR patients were consecutively collected in Beijing Tongren Hospital from September 2018 to December 2023.Additionally, age-matched 43 controls (86 eyes) were enrolled, consisting of 21 patients (42 eyes) with retinitis pigmentosa as a disease control group and 22 healthy subjects (44 eyes) as a normal control group.The main clinical outcome measures included best-corrected visual acuity (BCVA), mean deviation (MD) of visual field, central retinal thickness and the maximal response amplitude and implicit time of full-field electroretinography (ff-ERG). A total of 21 serum cytokines were detected by Luminex multiple cytokines assay or ELISA.Differences in serum cytokine concentrations of among groups, the correlation between cytokine levels and clinical outcomes, and the contribution of cytokines to the diagnosis of AIR were analyzed.This study adhered to the Declaration of Helsinki.The study protocol was approved by the Ethics Committee of Beijing Tongren Hospital (No.TRECKY2018-048). Written informed consent was obtained from each subject.Results:In AIR patients, the expression levels of Th1-type cytokines or receptors (including interferon-γ[IFN-γ], interleukin [IL]-8, C-X-C motif chemokine ligand [CXCL]9, and CXCL10) and Th17-type cytokines (including IL-17 and IL-6) were elevated.There were statistically significant overall differences in pro-inflammatory cytokines/chemokines (IL-6, IL-8, CXCL10, IL-10, IFN-γ, IL-17, C-X3-C motif chemokine ligand 1 [CX3CL]1, CXCL9) among the three groups ( H=10.823, 10.816, 9.633, 10.103, 23.670, 16.493, 9.050, 9.253; all P<0.05). Compared with the disease control group and the healthy control group, the IFN-γ level was significantly increased in the AIR group (both P=0.001). Compared with the healthy control group, the serum levels of IL-6, IL-8, CXCL10, IL-10, IL-17, and CXCL9 in the AIR group were significantly elevated (all P<0.05). The serum level of CX3CL1 was significantly higher in the AIR group than in the disease control group ( P=0.039). The serum level of IFN-γ was significantly higher in the AIR group than in the healthy control and disease control groups, but no association with AIR diagnosis was found ( OR=1.402, 95% CI: 0.710-2.870, P=0.245). Multilevel mixed-effects regression modeling analysis showed that the serum levels of IL-8 and CXCL9 in AIR patients were positively correlated with LogMAR BCVA ( β=0.028, P=0.033; β=0.023, P=0.003). The C-C motif chemokine ligand 11 level was positively correlated with implicit time of ERG a-wave ( β=13.950, P<0.001). The tumor necrosis factor-α level was positively correlated with MD value of visual field ( β=6.310, P=0.002). Granulocyte-macrophage colony-stimulating factor was negatively correlated with the amplitude of ERG a-wave and granulocyte colony-stimulating factor was negatively correlated with ERG b-wave amplitude ( β=-152.700, P<0.001; β=-14.790, P=0.003). Conclusions:Serum Th1 and Th17-type cytokines/chemokines may be involved in the pathogenesis of AIR and are related to disease severity.

Objective:To evaluate the short-term efficacy of surgical treatment for severe pulmonary stenosis(PS) in infants and young children, and to clarify the impact of different surgical timings on the efficacy of PS treatment.Methods:A retrospective analysis was conducted on 24 infants and young children who underwent surgical treatment for severe PS at the General Hospital of Northern Theater Command, PLA, from January 1, 2020, to October 1, 2024. Among them, 13 were males and 11 were females. The average weight of the patients was(9.2±3.6) kg, the average gestational age was(39.3±1.7) weeks, and the average age was(15.0±13.5) months. Preoperative clinical symptoms and signs(e.g., cyanosis, shortness of breath), transpulmonary valve pressure gradient(TPVPG), right ventricular systolic pressure(RVSP), and Em/Am were recorded. The patients were divided into two groups based on surgical timing: the infant group(under 1 year old, n=12) and the toddler group(1-3 years old, n=12).Results:There were no deaths among all patients. The postoperative ICU stay was significantly longer in the infant group compared to the toddler group( P<0.05). Compared to preoperative values, surgical treatment significantly improved TPVPG, reduced RVSP, and enhanced right ventricular diastolic function, which stabilized by 3 months postoperatively( P<0.05). Intergroup comparisons revealed that the infant group had significantly lower TPVPG at 6 months postoperatively compared to the toddler group. Additionally, right ventricular diastolic function improved significantly in the infant group postoperatively, while no significant improvement was observed in the toddler group. Younger age and reduced right ventricular diastolic function were identified as major risk factors for prolonged mechanical ventilation(>24 hours). Conclusion:Surgical treatment for PS during infancy and early childhood is safe and effective. Comprehensive preoperative evaluation is crucial, and early surgical intervention is recommended for patients with impaired right ventricular function to improve prognosis.

Objective:To establish a three-dimensional U-shaped residual coordinated attention network (URCA-Net) based on enhanced CT images for small bowel polyp detection and analyze its application effectiveness in intelligent detection of small bowel polyps.Methods:Abdominal CT data of patients with small bowel polyps were collected from the Air Force Medical Center between June 2019 and July 2023. All patients underwent bowel preparation followed by thin-slice spiral CT scanning to obtain enhanced CT arterial phase images. The data were randomly divided into training, validation and test sets in an 8∶1∶1 ratio. The URCA-Net deep learning model was used for small bowel polyp segmentation. The training set was used for model parameter training, the validation set for hyperparameter adjustment and monitoring of model generalization performance and the test set for final unbiased evaluation of the model. An early intelligent detection model for small bowel polyps was constructed, and its performance was evaluated. Evaluation metrics included pixel-level metrics for the segmentation task [Dice Similarity Coefficient (DSC)], as well as sensitivity and precision for polyp detection. A two-stage segmentation strategy was adopted: the first stage segmented the small bowel region to remove external interference, and the second stage performed polyp segmentation within the small bowel region.Results:A total of 78 subjects were included in the study, with an average age of (54±7) years. A total of 23 400 scan images were extracted, including 136 hyperplastic polyps, 298 hamartomatous polyps, 14 adenomatous polyps, and 4 cancerous polyps. On the test set, the average DSC for the first stage (small bowel segmentation) and the second stage (polyp segmentation) was 0.790 and 0.314, respectively. In the second stage task (polyp segmentation based on small bowel region), the polyp segmentation DSC increased to 0.701, with a precision of 0.836 (95% CI: 0.700-0.972) and a sensitivity of 0.759 (95% CI: 0.631-0.888) for polyp detection. Conclusion:The URCA-Net deep learning technique demonstrates good auxiliary diagnostic effectiveness in small bowel polyp detection and can provide a reference for screening and detection of small bowel polyps. The model is capable of generating high-quality segmentation results, which could facilitate evaluating polyp lesion morphology and provide support for downstream tasks such as preoperative navigation and risk prediction.

Objective:To explore the pathogenesis,clinical features,treatment strategies,and prognosis of pediatric lymphoepithelioma-like carcinoma(LELC).Methods:A retrospective analysis was conducted on the clinical data of patients with LELC aged<18 years,treated at Sun Yat-sen University Cancer Center from March 2008 to June 2023.Results:A total of 19 children and adolescents were included in the analys-is,comprising 10 males(52.6%)and 9 females(47.4%),with a median age of 12.9(4.3-17.0)years.Fourteen patients(73.7%)lived in Guangdong province,with the remainder scattered across other regions.Primary LELC sites were the mediastinum(11 cases,57.9%),parot-id glands(4 cases,21%),neck(1 case,5.3%),lungs(1 case,5.3%),salivary glands(1 case,5.3%),and submandibular glands(1 case,5.3%).Among these,15 patients(78.9%)had at least one distant metastasis at initial diagnosis,with common metastasis sites being cervical lymph nodes.Multivariate Cox regression analysis identified tumor volume≥801 cm3 as an independent adverse prognostic factor of poor overall survival(OS)(P<0.01).The 2-year OS and progression-free survival(PFS)rates were 84.2%and 57.9%,respectively.The 2-year OS for pa-tients who underwent surgery,chemotherapy,and radiotherapy was 100%,compared with 25%for those who received only partial treat-ment(P=0.007).The 2-year PFS rate was significantly higher in patients receiving first-line combination therapy with programmed death-1(PD-1)antibodies(100%)compared with those not treated with PD-1 antibodies(38.5%)(P=0.020).For patients with tumor volume≥801 cm3,the 2-year OS was 40.0%,whereas for those with a tumor volume<801 cm3,the 2-year OS was 100%(P<0.001).The 2-year OS for pa-tients who underwent radiotherapy was 100%,while it was 0 for those who did not receive radiotherapy(P<0.001).Conclusions:Pediatric LELC exhibits a relatively favorable prognosis with multidisciplinary treatment,including surgery,chemotherapy,and radiotherapy.The com-bined use of PD-1 antibodies at the time of initial diagnosis could offer potential benefits and warrants further exploration.

Objective:To explore the construction requirements and solutions for a digital full-process management platform for Investigator-Initiated Trials (IIT) in pediatrics in China.Methods:By reviewing literature, the current status and highlights of pediatric IIT digital management systems in Europe and the United States were analyzed. The challenges faced in building a digital full-process management platform for pediatric IIT in China were summarized. The exploration and implementation achievements of our hospital in platform construction were introduced, and future construction priorities were proposed based on practical considerations.Results:The construction and application of digital full-process management platforms for pediatric IIT in Europe and the United States were relatively mature, providing comprehensive digital support for pediatric IIT research, ranging from project management to research design implementation, multi-center data interoperability, and personnel training. In China, the pediatric IIT digital management platform was still under construction, with main challenges including the formulation of construction plans based on hospital-specific conditions, data standardization, and remote recruitment and follow-up platforms.Conclusions:Considering the current status of pediatric IIT digital full-process management systems both domestically and internationally, efforts should be made to further strengthen data standardization, remote subject management, and digital pediatric IIT training from both policy and technical perspectives. This will provide one-stop services and management for projects and researchers, promoting the development of pediatric medical research.