In this study, we constructed a GLP-2R-HEK293 cell line and established a method for the determination of the in vitro biological activity of teduglutide based on HTRF, after optimizing experimental conditions and methodological verification. We also carried out relative potency detection of teduglutide pharmaceutical products using this method. The result showed that there was a quantitative-efficient relationship between the teduglutide activity and cAMP contents in GLP-2R-HEK293 cells, which conformed to four-parameter model. Method verification results of five concentrations of teduglutide (64%, 80%, 100%, 125% and 156%) met the requirements of the General Rules of Chinese Pharmacopoeia, 2020 edition, Volume IV (9401). We then analyzed the relative potency of three batches of teduglutide drug substances and three batches of drug products. The linearity, regression and parallelism of the obtained curves all fit the system suitability requirements. The relative potency of six batches of teduglutide was from 83% to 105%. In summary, the biological activity detection method established in this study was accurate, precise, simple and time-saving, which can be used for quality control of teduglutide pharmaceutical products.

OBJECTIVE: To investigate the efficacy of 3D-printed navigation guided pudendal lead implantation on nervous regulation of lower urinary tract symptoms（LUTS） in male patients. METHODS: Twenty-eight male patients who underwent perineal nervous regulation treatment for LUTS in Gongli Hospital of Pudong New Area from October 2021 to October 2023 were randomly divided into observation group and control group. The technology assisted with 3D-printed navigation to regulate the genital nerves was used in observation group. And the patients in control group were treated with regulation of the genital nerves by routine puncture. Operation time of puncture, number of surgical punctures, and stimulator debugging time compared between the two groups. The improvement of postoperative symptoms and surgical complications of patients in the observation group were recorded as well. RESULT: A total of 12 male LUTS patients were included in the observation group, with an average age of 36.5±6.5 years, including 7 cases of frequent micturition, 3 cases of perineal pain, and 2 cases of dysuria. Four patients showed no significant improvement in symptoms, including two patients with pain and two cases of frequent micturition who did not undergo secondary surgery. While the other eight patients showed significant improvement in symptoms. The average time for successful puncture in control group was (21.13 ± 4.53) minutes, which was longer than that of the 3D-printed navigation group (［10.32 ± 3.42］ min) significantly (P<0.05). The average number of punctures in the ordinary puncture group was 5.62 ± 1.43, which was significantly higher than that in the 3D-printed navigation group (1.5 ± 0.56). There was no statistically significant difference in the average time for stimulator debugging between the two groups of patients. The conversion rate of the 3D-printed navigation group in the second phase was 66.7%, which was higher than that (37.5%) significantly (P<0.05). CONCLUSION 3D printing navigation of pudendal nerve electrode wire implantation can improve the accuracy of electrode implantation and the conversion rate to a certain extent, which has the advantages of reducing the difficulty of surgery.
Humans ; Male ; Printing, Three-Dimensional ; Lower Urinary Tract Symptoms/surgery* ; Adult ; Pudendal Nerve ; Middle Aged ; Electrodes, Implanted

In this study, the CHO_INSR_1284 transgenic cell line was employed as the target cell, utilizing homogeneous time-resolved fluorescence technology to establish a method for detecting the biological activity of insulin degludec. Key parameters were optimized, and validation was conducted in accordance with general principles 9401 and 1431 of the fourth section of the 2020 edition of the Chinese Pharmacopoeia. Results indicated a good dose-response relationship for insulin degludec in this method, aligning with a four-parameter curve. Following optimization, the cell seeding density was set at 3.5×10⁵ cell·mL^-1, the initial concentration of insulin degludec at 57.18 μg·mL^-1, with a four-fold dilution, a stimulation period of 45 minutes, and an incubation duration of 4 hours. This method demonstrated strong specificity, with the geometric variation coefficient (GCV%) for the five potency levels ranging from 4.1% to 10.6%. The linear regression equation from the linear fitting was y = 1.015x - 0.027 7, and R² = 0.999 6. The results confirmed the method's good intermediate precision and linearity. The regression term was highly significant (P < 0.01), neither the deviation from parallel terms nor the model mismatch terms were significant (P ≥ 0.05), complying with general rule 1431 of the fourth section of the 2020 edition of the Chinese Pharmacopoeia. This study established a method for detecting the biological activity of insulin degludec using homogeneous time-resolved fluorescence technology, suitable for evaluating the biological activity and quality control of insulin degludec products.

The Dionex CaboPac^TM PA10 BioLC^TM Analyical 2 mm × 250 mm column was used with a protective column (Dionex CaboPac^TM PA10 BioLC^TM Guard 2 mm × 50 mm). 100 mmol·L^-1 sodium hydroxide solution was used as eluent; the flow rate was 0.25 mL·min^-1. Sample tray temperature: 35 ℃. The pulse amperometric detector was adopted, and the waveform was Gold CWE, Ag-AgCl RE, Carbo, Quad. The samples were cultured with 8 concentrations of glycogen substrates (0.31, 1.25, 2.5, 5, 10, 20, 30, and 40 mg·mL^-1). D-Glucose concentrations were measured at 5 different time points (T0, T1, T2, T3 and T4). The glucose concentration from T1 to T4 minus the glucose concentration at T0. The reaction rate was calculated at different glycogen substrate concentrations. These reaction rates are plotted against substrate concentrations using Michaelis-Menten equation. The kinetic parameters were expressed as V_max (nmol·mg^-1·min^-1) and K_m (mg·mL^-1). The RSD of glucose standard curve R² (n = 6, linear range: 1.25-500 μmol·L^-1) was 0.1% and the RSD (n = 6) of the slope of the standard curve was 2.2%. The mean limit of quantitation was 0.14 μmol·L^-1, and the mean limit of detection was 0.05 μmol·L^-1. The RSD of K_m and V_max were 4.4% and 4.6% respectively in three separate experiments. The durability of the method was good. The method was developed for the on-line automatic determination of the hydrolysis kinetics of acid α-glucosidase (GAA) for injection by ion chromatography. The method has good precision, repeatability and durability, and can be used for the determination of glycogen hydrolysis kinetics of GAA for injection, and could reference value for the enzyme kinetics evaluation of recombinant enzyme replacement therapy.

According to the requirements of the regulatory authorities, degree of modification (DP) should be included in the characterisation of the PEGylated protein drug substance, and is one of the critical quality attributes for quality control. In this study, based on the fundamental assumption that the refractive index (RI) signal and the ultraviolet (UV) signal of PEGylated protein are equal to the sum of the corresponding signal produced by the polyethylene glycol (PEG) and protein parts of the conjugates in their uncoupled state, we developed a method to determine the DP of PEGylated recombinant human growth hormone (inpegsomatropin). In this method, 20 μL of 1 mg·mL^-1 human growth hormone (hGH) standard, 2 mg·mL^-1 PEG reference substance and 1 mg·mL^-1 drug substance solution were each injected to size exclusion chromatographic (SEC) column for separation, detected with ultraviolet and refractive index (UV-RI) detectors in series. Finally, the DP was calculated as the formula derived from the fundamental assumption. The developed SEC-UV-RI method showed good specificity, repeatability (RSD = 0.63%, n = 9) and accuracy, with a recovery of 100.0%, compared with the result obtained from the simultaneously established classical acid hydrolysis method, demonstrating pretty handleability and accessibility, and is appropriate for quality control test of DP for this drug substance.

Objective In order to shorten the transparency time of clear,unobstructed brain imaging cocktails and computational analysis(CUBIC),improve the transparency efficiency,and explore the possibility of applying hydrophilic tissue transparency technique,this study was conducted to optimize the perfusion of CUBIC technique and compare it with four hydrophilic tissue clearing method in terms of tissue transparency effect,transparency time,area change,volume change and adeno-associated virus(AAV)fluorescence retention.Methods Brain,liver,spleen and kidney of 6 adult Institute of Cancer Research(ICR)mice were subjected to clearing treatment by SeeDB,FRUIT,ScaleS and CUBIC method,respectively.The area and gray value of the samples were measured by Image J 1.8.0,and the volume before and after transparency was measured by drainage method to compare the transparency effect,time and size deformation of each group.Perfusion optimization of the CUBIC was performed by improving the perfusion rate with the optimal perfusion dose,each group of the experimental sample size was 6.Fluorescence preservation by different techniques was evaluated by injecting AAV in the motor cortex of 16 adult mice and taking the cervical spinal segments for transparency treatment after four weeks,and the fluorescence photographs were measured by Image J 1.8.0 to measure the mean fluorescent intensity.Results The optimal perfusion rate and dose of CUBIC was 15 ml/min and 200 ml respectively.For transparency ability and speed,the perfusion CUBIC had the lowest mean gray value and took the shortest time,while CUBIC consumed the longest time,and SeeDB,FRUIT,and ScaleS did not show good transparency ability.In terms of area and volume changes,several techniques showed different degrees of expansion after transparency of tissues or organs.In terms of fluorescence retention,perfusion CUBIC showed the best retention of green fluorescent protein(GFP)fluorescence signal,followed by CUBIC,ScaleS,FRUIT,and SeeDB.Conclusion Perfusion CUBIC technique shows the best tissue transparency,the shortest transparency time,and the most AAV fluorescence retention compared with other techniques.

Objective To summarize the multi slice spiral computed tomography(MSCT)features of bronchiolar adenoma(BA).Methods The imaging data of 9 cases of BA confirmed by surgery and pathology were analyzed retrospectively,and relevant literature was also reviewed.Results Among the 9 cases of BA,there were 8 cases with peripheral BA(away from the pleura≤5 mm)inclu-ding 4 cases close to the pleura and 1 case in central area.BA were located in the superior lobe of the right lung in 3 cases,the middle lobe of the right lung in 2,the inferior lobe of the right lung in 2,and the inferior lobe of the left lung in 2.Five cases were solid nod-ules,2 were ground-glass nodules and other 2 were cystic cavity nodules.In 2 cases of the solid nodules,the boundary on the non-venous side was blurred.In the 1 case of the ground-glass nodule,linear and reticular shadows were observed in the lesion,accompanied by a blurred boundary.2 nodules had mild pleura indentation,and other 7 nodules were found blood vessels entering into or adhering to the lesion,3 of which were accompanied by vascular thickening.In 8 cases with 2-48 month followed up,1 cystic cavity nodule was accompa-nied by obstructive pneumonia and then inflammatory absorption,1 solid nodule enlarged accompanied by the appearance of vacuoles,and the rest 6 had no changes.One central type nodule was operated after the CT examination.Conclusion BA are mainly manifes-ted as peripheral nodules of the lung,mostly close to the pleura and away from the pleura≤5 mm.Most BA are solid nodules,and sometimes are ground-glass or cystic cavity nodules.Some nodules show blurred boundaries or inflammation on the non-venous side,and few nodules increase during follow-up,with or without small vacuoles.

Objective To develop and validate a deep learning model for automatic identification of liver CT contrast-enhanced phases.Methods A total of 766 patients with liver CT contrast-enhanced images were retrospectively collected.A three-phase classification model and an arterial phase(AP)classification model were developed,so as to automatically identify liver CT contrast-enhanced phases as early arterial phase(EAP)or late arterial phase(LAP),portal venous phase(PVP),and equilibrium phase(EP).In addition,221 patients with liver CT contrast-enhanced images in 5 different hospitals were used for external validation.The annotation results of radiologists were used as a reference standard to evaluate the model performances.Results In the external validation datasets,the accuracy in identifying each enhanced phase reached to 90.50%-99.70%.Conclusion The automatic identification model of liver CT contrast-enhanced phases based on residual network may provide an efficient,objective,and unified image quality control tool.

Objective To explore and organize the standards of rehabilitation big data. Methods The connotation and extension of rehabilitation big data were discussed based on International Classification of Functioning,Disability and Health(ICF)framework.Referring to the documents of Guidance on the analysis and use of routine health information systems rehabilitation module,Rehabilitation in health systems:guide for action,Rehabilitation indicator menu:a tool accompanying the Framework for Rehabilitation Monitoring and Evaluation(FRAME),and Data quality assurance.Module 1.Framework and metrics,the sources,patterns,clas-sification systems and coding standards were discussed under the ICF theory,and the metadata standards were ex-plored.The application and management of rehabilitation big data standards were discussed according to Nation-al Health Medical Big Data Standards,Security and Service Management Measures(Trial). Results The rehabilitation big data included rehabilitation service data and personal health data,coming from population-based and institution-based data,covering macro,meso and micro levels.The pattern of rehabilitation data flow corresponded to the interaction and source of the entire process of rehabilitation service,to organize and manage rehabilitation big data.The classification system included object classes,object feature classes,participant role classes,relationship classes,and activity and event classes,each of which was further subdivided into subcatego-ries to cover the entities,features,roles,relationships and activities involved in the rehabilitation process.The metadata standards included three levels:core,general and specialized metadata,ensuring standardized manage-ment,sharing and interoperability of rehabilitation data. Conclusion This study delves into the standardization of rehabilitation big data based on the ICF framework,encompass-ing multiple dimensions such as the connotation and extension of rehabilitation big data,data sources,data mod-els,classification systems,coding standards,and metadata standards.The construction of a rehabilitation big data standard system involves standardization efforts in various aspects,including data content,data structure,data coding,and metadata.These standards not only adhere to the norms of data flow,but also take into account the complexity of data composition.This system aligns with health big data standards,ensuring data consistency,ac-curacy,and interoperability,thus providing a foundation for effective exchange and comparison between different data sources.The establishment of a rehabilitation big data standard system not only ensures the standardized pro-cessing of rehabilitation big data,but also lays a solid foundation for effective exchange between rehabilitation big data and other health data,as well as for the widespread application of rehabilitation big data.This provides crucial support for improving the quality and efficiency of rehabilitation services,ensuring that patients receive appropriate care,rehabilitation and support.It holds significant theoretical and practical implications for promot-ing the development of the rehabilitation field.

The BTB (broad-complex, tramtrack, and bric-à-brac) domain is a highly conserved protein interaction motif in eukaryotes. They are widely involved in transcriptional regulation, protein degradation and other processes. Recently, an increasing number of studies have shown that these genes play important roles in plant growth and development, biotic and abiotic stress processes. Here, we summarize the advances of these proteins ubiquitination-mediated development and abiotic stress responses in plants based on the protein structure, which may facilitate the study of this type of gene in plants.
Eukaryota ; Plant Development/genetics* ; Proteolysis ; Ubiquitination