Objective: To explore the efficacy of transcystoscopic holmium laser sieve-shaped fenestration in the treatment of ureteral cysts in children. Methods: The clinical data of 41 children with ureteral cysts treated in our hospital during Jan.2019 and Dec.2023 were retrospectively analyzed.All children received this surgery.The perioperative indicators and postoperative outcomes were recorded. Results: All operations were successful, the average operation time being (32.20±11.49) min.During the 12-month follow-up, the cysts were reduced or the obstructive symptoms were relieved in 31 cases, and the cysts completely disappeared in 6 cases.Vesicoureteral reflux (VUR) developed in 4 cases, 1 of which had grade Ⅱ VUR with no obvious symptoms and received conservative treatment.Repeated urinary tract infections developed in 2 cases; obstructive symptoms remained unchanged in 1 case; these 3 cases received vesicoureteral replantation.Two days before operation and 3 months after operation, the ureter diameter was (9.95±2.38) mm and (7.41±3.39) mm (t=3.16, P＜0.05), the anteroposterior diameter of the renal pelvis was (13.32±2.63) mm and (9.07±3.02) mm (t=6.86, P＜0.01). Conclusion: Transcystoscopic holmium laser sieve-shaped fenestration for children with ureteral cysts has good efficacy, little trauma and few complications.It can quickly relieve obstructive symptoms and can be used as the initial treatment of ureteral cysts.

The continuous emergence of SARS-CoV-2 variants as well as other potential future coronavirus has challenged the effectiveness of current COVID-19 vaccines. Therefore, there remains a need for alternative antivirals that target processes less susceptible to mutations, such as the formation of six-helix bundle (6-HB) during the viral fusion step of host cell entry. In this study, a novel high-throughput screening (HTS) assay employing a yeast-two-hybrid (Y2H) system was established to identify inhibitors of HR1/HR2 interaction. The compound IMB-9C, which achieved single-digit micromolar inhibition of SARS-CoV-2 and its Omicron variants with low cytotoxicity, was selected. IMB-9C effectively blocks the HR1/HR2 interaction in vitro and inhibits SARS-CoV-2-S-mediated cell-cell fusion. It binds to both HR1 and HR2 through non-covalent interaction and influences the secondary structure of HR1/HR2 complex. In addition, virtual docking and site-mutagenesis results suggest that amino acid residues A930, I931, K933, T941, and L945 are critical for IMB-9C binding to HR1. Collectively, in this study, we have developed a novel screening method for HR1/HR2 interaction inhibitors and identified IMB-9C as a potential antiviral small molecule against COVID-19 and its variants.

Objective:To explore the clinical phenotype and genetic etiology for a Chinese pedigree affected with Autosomal dominant polycystic kidney disease (ADPKD).Methods:A pedigree with ADPKD diagnosed at the Department of Gynaecology of the First Affiliated Hospital of Zhengzhou University in December 2020 was selected as the study subject. Clinical data of the pedigree was collected, and whole exome sequencing (WES) was carried out for the proband. Candidate variants were verified by Sanger sequencing of the proband and her relatives. This study was approved by the First Affiliated Hospital of Zhengzhou University (Ethics No. KS-2018-KY-36).Results:Fetal ultrasonography showed increased volume and parenchymal echogenicity in both kidneys. The fetus was found to harbor c. 11098C>T (p.R3700C) and c.11039T>C (p.F3680S) compound heterozygous variants of the PKD1 gene, which were respectively inherited from its mother and father. Based on the guidelines from the American College of Medical Genetics and Genomics (ACMG), both variants were predicted to be likely pathogenic (PM1+ PM2_Supporting+ PP3). Conclusion:The c. 11098C>T (p.R3700C) and c. 11039T>C (p.F3680S) compound heterozygous variants of the PKD1 gene probably underlay the ADPKD in the fetus. Above finding has provided guidance for the genetic counseling and prenatal diagnosis for this pedigree.

Comprehensively improving the new efficiency of high-quality development of public hospitals is the key top-level design for deepening the reform of public hospitals during the"14th Five-Year Plan"period.In view of the changes in the macro environment faced by public hospitals in recent years,such as the cancellation of the addi-tion of pharmaceutical consumables and the deep promotion of the reform of payment methods,as well as the out-standing problems existing at the micro level of public hospital operation,such as the separation of diagnosis and treatment business from economic operation activities,extensive decision-making methods,unreasonable alloca-tion of resources and urgent optimization of processes.By referring to relevant theories such as value management theory,a new"trinity"public hospital lean operation management model based on"integration of industry and fi-nance,lean operation and evidence-based decision-making"is explored and constructed.It breaks the relatively parallel operation barriers of clinical diagnosis and treatment business and economic operation management,innovates a new method of linear staff management with the integration of industry and finance,gives full play to the role of experts in governing hospitals,and integrates the professional committee system driven by"technology+manage-men"into the hospital decision-making staff system to provide data evidence-based basis for assisting the hospital leadership to make scientific decisions.

Objective:To investigate the effect of intraoperative protection of the supraclavicular nerve on the healing of clavicular 1/3 mid-shaft fracture.Methods:A retrospective study was conducted to analyze the 83 patients who had been treated for clavicular 1/3 mid-shaft fractures at Department of Orthopaedics, The First Central Hospital of Baoding from June 2021 to March 2022. There were 57 males and 26 females with an age of (48.1±12.8) years. The patients were divided into 2 groups according to whether the supraclavicular nerve was protected or not during operation. There were 39 cases in the observation group (the supraclavicular nerve was protected during operation) and 44 cases in the control group (the supraclavicular nerve was not protected during operation). The incision length, operation time, intraoperative blood loss, hospital stay, visual analogue scale (VAS) pain scores before operation and 3, 6 and 12 months after operation, fracture healing at 3, 6 and 12 months after operation, and postoperative complications were recorded and compared between the 2 groups. Additionally, the number of microvessels in the middle clavicle was recorded and compared between the affected and healthy sides in 8 patients in the observation group at 6 weeks after operation.Results:There was no significant difference in the preoperative general data between the 2 groups, indicating comparability ( P>0.05). The operation time for the observation group [(72.2±5.4) min] was significantly longer than that for the control group [(61.1±4.7) min]. The VAS scores at postoperative 3 and 6 months for the observation group [2.7 (2.4, 3.1) and 2.1 (1.9, 2.6) points] were significantly lower than those for the control group [3.5 (3.2, 3.8) and 2.7 (2.4, 2.9) points] ( P<0.05). The fracture healing rates at postoperative 3 and 6 months in the observation group [97.4% (38/39) and 100% (39/39)] were significantly higher than those in the control group [81.8% (36/44) and 86.4% (38/44)] ( P<0.05), but there was no significant difference in the fracture healing between the 2 groups at 12 months after operation ( P>0.05). At 6 weeks after operation, the number of microvessels in the middle clavicle was respectively 85.3±0.7 and 87.1±0.8 in the 8 patients in the observation group, showing no significant difference ( P>0.05). After operation, delayed incision healing occurred in 3 cases in the observation group and in 4 cases in the control group, and abnormal sensation of the skin around the incision occurred in 9 cases in the observation group and in 26 cases in the control group, showing a significant difference between the 2 groups ( P<0.05). Conclusion:Intraoperative protection of the supra-clavicular nerve is beneficial for reduction of early postoperative pain and improvement of early fracture healing, and may have a positive effect on the postoperative reconstruction of microvascular network.

To predict the distribution and habitat of Dermacentor nuttallii in Xinjiang and to under-stand its life cycle history.In this study,Maximum Entropy Modeling(MaxEnt)was used to pre-dict the geographical distribution and adaptation area of Dermacentor nuttallii in Xinjiang,and jackknife test and response curve of environmental variables were used to evaluate the environmen-tal factors affecting the distribution of Dermacentor nuttallii.Dermacentor samples were collected randomly based on predicted sites.The species of Dermacentor was identified by the combination of morphological characteristics and molecular biology.The New Zealand white rabbit was the only blood donor,and the life cycle and biological characteristics of the tick were observed and recorded by the method of earmuffs feeding under natural light in the laboratory.The jackknife test and SPSS analysis results showed that the main environmental variables affecting the distribution of suitable areas of Dermacentor nuttallii were average temperature(Bio1),average daily tempera-ture range(Bio2),seasonal temperature change(Bio4),driest month precipitation(Bio14),precip-itation variation coefficient(Bio15).The response curves of major environmental variables showed that Dermacentor nuttallii had the highest presence probability when Bio1 was 15.58 ℃,Bio2 was 6.19 ℃,Bio4 had a coefficient of variation of 1 500,Bio14 had a coefficient of variation of 20 mm,Bio15 had a coefficient of variation of 23.799 and Bio19 was 69 mm.The prediction results showed that the suitable areas of Dermacentor nuttallii in Xinjiang were Tianshan Mountain range in Junggar Basin,Turpan basin in Altai Mountain valley and some areas south of Tianshan Mountain range,accounting for 50.99％of the total area of Xinjiang.Dermacentor were collected from the predicted area according to MaxEnt model and identified as Dermacentor nuttallii by morphologi-cal and molecular biological methods.The full blood stage was 5.31 d,the degeneration stage was 8.19 d,and the degeneration rate reached 95.5％.If the full blood stage was 8.65 d and the degener-ation stage was 12.86 d,the degeneration rate reached 98％.The full blood stage of adult ticks was 6.75 d,the early egg stage of full blood females was 5.86 d,and the spawning stage of full blood fe-males was 12.5 d.The eggs hatched into young ticks after 25.92 d,and the hatching rate reached 90％.Dermacentor nuttallii took 62-107 d to complete a life history,with an average of 86.06 d.The constructed MaxEnt model has high prediction accuracy and accuracy.According to the varia-ble analysis of the main environmental factors,precipitation and temperature are the main environ-mental factors affecting Dermacentor nuttallii.The study of the whole life cycle of Dermacentor nuttallii in Xinjiang provides the basis for establishing the method of artificial breeding of pure species of Dermacentor nuttallii in Xinjiang.

Objective To investigate the risk factors associated with necrosis in interstitial oedematous pancreatitis(IOP)and to develop a nomogram model for the early prediction of necrosis in IOP.Methods A retrospective analysis was conducted on 306 patients diagnosed with IOP.Patients were stratified into necrosis and edema groups based on the presence or absence of pancreatic necrosis through follow-up CT-enhanced examinations.Logistic regression analysis was employed to identify independent predictive factors for necrosis in IOP.Subsequently,a nomogram model was developed,and its discriminative ability,accuracy,and practicality were assessed through receiver operating characteristic(ROC)curve,calibration curve,and decision curve analysis(DCA).Results Balthazar computed tomography severity index(CTSI),gender,lactate dehydrogenase(LDH),and triglyceride(TG)were finally identified as four independent predictors for constructing the nomogram model.The area under the curve(AUC)of the nomogram model was 0.800[95％confidence interval(CI)0.731-0.869].The calibration curve indicated good consistency between the predicted probabil-ity and the actual probability of necrosis in IOP(P=0.737).DCA suggested high practicality of the nomogram model within the threshold probability range of 3％to 66％and 75％to 96％.Conclusion The nomogram model based on Balthazar CTSI,gender,LDH,and TG demonstrates good efficacy in early prediction of necrosis in IOP.

Data analysis models may assist the transmission of traditional Chinese medicine （TCM） experience and clinical diagnosis and treatment， and the possibility of constructing a “data-knowledge” dual-drive model was explored by taking gastric precancerous state as an example. Data-driven is to make clinical decisions around data analysis， and its syndrome-differentiation decision-making research relies on hidden structural models and partially observable Markov decision-making processes to identify the etiology of diseases， syndrome elements， evolution of pathogenesis， and syndrome differentiation protocols； knowledge-driven is to make use of data and information to promote decision-making and action processes， and its syndrome-differentiation decision-making research relies on convolutional neural networks to improve the accuracy of local disease identification and syndrome differentiation. The “data-knowledge” dual-driven model can make up for the shortcomings of single-drive numerical simulation accuracy， and achieve a balance between local disease identification and macroscopic syndrome differentiation. On the basis of previous research， we explored the construction method of diagnostic assisted decision-making platform for gastric precancerous state， and believed that the diagnostic and decision-making ability of doctors can be extended through the assistance of machines and algorithms. Meanwhile， the related research methods were integrated and the core features of gastric precancerous state based on TCM syndrome differentiation and endoscopic pathology diagnosis and prediction were obtained， and the elements of endoscopic pathology recognition based on TCM syndrome differentiation were explored， so as to provide ideas for the in-depth research and innovative application of cutting-edge data analysis technology in the field of intelligent TCM syndrome differentiation.

Oral diseases concern almost every individual and are a serious health risk to the popula-tion.The restorative treatment of tooth and jaw defects is an important means to achieve oral function and support the appearance of the contour.Based on the principle of"learning from the nature",Deng Xu-liang's group of Peking University School and Hospital of Stomatology has proposed a new concept of"microstructural biomimetic design and tissue adaptation of tooth/jaw materials"to address the worldwide problems of difficulty in treating dentine hypersensitivity,poor prognosis of restoration of tooth defects,and vertical bone augmentation of alveolar bone after tooth loss.The group has broken through the bottle-neck of multi-stage biomimetic technology from the design of microscopic features to the enhancement of macroscopic effects,and invented key technologies such as crystalline/amorphous multi-level assembly,ion-transportation blocking,and multi-physical properties of the micro-environment reconstruction,etc.The group also pioneered the cationic-hydrogel desensitizer,digital stump and core integrated restora-tions,and developed new crown and bridge restorative materials,gradient functionalisation guided tissue regeneration membrane,and electrically responsive alveolar bone augmentation restorative membranes,etc.These products have established new clinical strategies for tooth/jaw defect repair and achieved inno-vative results.In conclusion,the research results of our group have strongly supported the theoretical im-provement of stomatology,developed the technical system of oral hard tissue restoration,innovated the clinical treatment strategy,and led the progress of the stomatology industry.

Dementia is a neurodegenerative disease closely related to brain network dysfunction. In this study, we assessed the interdependence between brain regions in patients with early-stage dementia based on phase-lock values, and constructed a functional brain network, selecting network feature parameters for metrics based on complex network analysis methods. At the same time, the entropy information characterizing the EEG signals in time domain, frequency domain and time-frequency domain, as well as the nonlinear dynamics features such as Hjorth and Hurst indexes were extracted, respectively. Based on the statistical analysis, the feature parameters with significant differences between different conditions were screened to construct feature vectors, and finally multiple machine learning algorithms were used to realize the recognition of early categories of dementia patients. The results showed that the fusion of multiple features performed well in the categorization of Alzheimer's disease, frontotemporal lobe dementia and healthy controls, especially in the identification of Alzheimer's disease and healthy controls, the accuracy of β-band reached 98%, which showed its effectiveness. This study provides new ideas for the early diagnosis of dementia and computer-assisted diagnostic methods.
Humans ; Electroencephalography/methods* ; Alzheimer Disease/physiopathology* ; Dementia/physiopathology* ; Early Diagnosis ; Algorithms ; Brain/physiopathology* ; Machine Learning ; Frontotemporal Dementia/physiopathology* ; Diagnosis, Computer-Assisted