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 construct an integrated management model for early screening and diagnosis of PCa based on the Innovative Care for Chronic Conditions Framework (ICCC) and the 1+1 contract-based tiered diagnosis and treatment system (TDTS) in China. METHODS: Based on the 1+1 contract-based TDTS platform, we conducted PCa screening for the male residents aged 60 years and above during health check-ups in Pujin Community Health Center from January 1, 2023 to December 31, 2023. For those with abnormal total prostate-specific antigen (tPSA) ≥ 4 μg/L, we promptly referred them to higher-level hospitals for further diagnosis and treatment via the two-way referral green channel platform and information sharing service using the 1+1 contract model. We further analyzed the relevant data on screening and diagnosis. RESULTS: A total of 4 080 males aged 71.39±5.059 years received PCa screening from January to December 2023. PSA screening was performed in 43.96% of the male residents, revealing 654 cases of PSA abnormality, with a PSA positivity rate of 16.03%, which was higher than that found in the previous large-scale PCa screenings in other regions of China. Among the males with PSA abnormality, 292 (44.65%) expressed their willingness for medical referral, while the others did not seek further medical attention for reasons of being asymptomatic, low awareness of the disease, no accompany for medical visits, and concerns about further costs of diagnosis and treatment. Prostate biopsy was recommended to 154 cases after further examinations, which was accepted by 92 (59.74%). Fifty-eight cases were diagnosed with Pa, and thedetection rate reached 63.04%. CONCLUSION The integrated management model for PSA examination-based early screening and diagnosis of PCa using the 1+1 contract-based TDTS platform is plays a significant role in enhancing people's awareness and knowledge of PCa and improving the early detection rate of the malignancy.
Humans ; Male ; Prostatic Neoplasms/diagnosis* ; Early Detection of Cancer ; Prostate-Specific Antigen/blood* ; Aged ; China ; Mass Screening ; Middle Aged ; Chronic Disease

Background::In vitro fertilization (IVF) has emerged as a transformative solution for infertility. However, achieving favorable live-birth outcomes remains challenging. Current clinical IVF practices in IVF involve the collection of heterogeneous embryo data through diverse methods, including static images and temporal videos. However, traditional embryo selection methods, primarily reliant on visual inspection of morphology, exhibit variability and are contingent on the experience of practitioners. Therefore, an automated system that can evaluate heterogeneous embryo data to predict the final outcomes of live births is highly desirable. Methods::We employed artificial intelligence (AI) for embryo morphological grading, blastocyst embryo selection, aneuploidy prediction, and final live-birth outcome prediction. We developed and validated the AI models using multitask learning for embryo morphological assessment, including pronucleus type on day 1 and the number of blastomeres, asymmetry, and fragmentation of blastomeres on day 3, using 19,201 embryo photographs from 8271 patients. A neural network was trained on embryo and clinical metadata to identify good-quality embryos for implantation on day 3 or day 5, and predict live-birth outcomes. Additionally, a 3D convolutional neural network was trained on 418 time-lapse videos of preimplantation genetic testing (PGT)-based ploidy outcomes for the prediction of aneuploidy and consequent live-birth outcomes.Results::These two approaches enabled us to automatically assess the implantation potential. By combining embryo and maternal metrics in an ensemble AI model, we evaluated live-birth outcomes in a prospective cohort that achieved higher accuracy than experienced embryologists (46.1% vs. 30.7% on day 3, 55.0% vs. 40.7% on day 5). Our results demonstrate the potential for AI-based selection of embryos based on characteristics beyond the observational abilities of human clinicians (area under the curve: 0.769, 95% confidence interval: 0.709–0.820). These findings could potentially provide a noninvasive, high-throughput, and low-cost screening tool to facilitate embryo selection and achieve better outcomes. Conclusions::Our study underscores the AI model’s ability to provide interpretable evidence for clinicians in assisted reproduction, highlighting its potential as a noninvasive, efficient, and cost-effective tool for improved embryo selection and enhanced IVF outcomes. The convergence of cutting-edge technology and reproductive medicine has opened new avenues for addressing infertility challenges and optimizing IVF success rates.

Objective:To examine the burden and trends of acute viral hepatitis in Guangdong Province from 1990 to 2019, and provide reference evidences for hepatitis prevention and control in the province.Methods:Data on acute viral hepatitis (hepatitis A, B, C, and E) in Guangdong from 1990 to 2019 were extracted from the Global Burden of Disease Study 2019 database. The incidence, prevalence, mortality, and disability-adjusted life years (DALY) data were analyzed by age and gender, and the estimated annual percentage change (EAPC) was calculated to describe the changing trends in disease burden.Results:From 1999 to 2019, the standardized incidence, prevalence, mortality, and DALY of acute viral hepatitis in Guangdong were higher than the national averages. In 2019, 51.43% (2 245 087/4 365 221) of acute viral hepatitis cases in Guangdong Province were mainly attributed to hepatitis B, and 77.18% (106/138) of deaths were due to acute hepatitis B. In different age groups, except for acute hepatitis B, which was more common in adults, the incidence rates of other types of viral hepatitis such as hepatitis A, B, and E showed an overall decreasing trend with age. The mortality rates of different types of acute viral hepatitis, except for the <5 age group, increased with age. The overall incidence and mortality rates of acute viral hepatitis were higher in men than in women.Conclusions:The overall burden of acute viral hepatitis in Guangdong declined in 2019, but remained higher than the national level. Further efforts are needed to strengthen hepatitis prevention and screening in different population in Guangdong Province, especially in children and the elderly.

This study constructed a LHCGR-CRE-luc-HEK293 transgenic cell line according to the activation of the cAMP signaling pathway after recombinant human chorionic gonadotropin binding to the receptor. The biological activity of recombinant human chorionic gonadotropin was assayed using a luciferase assay system. The relative potency of the samples was calculated using four-parameter model. And the method conditions were optimized to validate the specificity, relative accuracy, precision and linearity of the method. The results showed that there was a quantitative potency relationship of human chorinonic gonadotropin (hCG) in the method and it was in accordance with the four-parameter curve. After optimization, the conditions were determined as hCG dilution concentration of 2.5 μg·mL^-1, dilution ratio of 1∶4, cell number of 10 000-15 000 cells/well, and induction time of 6 h. The method had good specificity, relative accuracy with relative bias ranging from -8.9% to 3.4%, linear regression equation correlation coefficient of 0.996, intermediate precision geometric coefficient of variation ranging from 3.3% to 15.0%, and linearity range of 50% to 200%. This study successfully established and validated a reporter gene method to detect hCG biological activity, which can be used for hCG biological activity assay and quality control.

Objective To observe the changes in serum a proliferation inducing ligand(a proliferation inducing ligand,APRIL)and N-myc downstream regulated gene 1(N-myc downstream regulated gene 1,NDRG1)levels,and analyze their diagnostic value for ovarian endometrioma(OEM).Methods From July 2021 to July 2022,132 patients with OEM who visited Zigong First People's Hospital were regarded as the observation group,and regular follow-up was conducted.According to the prognosis of these patients,they were grouped into the recurrence group(n=50)and the non recurrence group(n=82).Meanwhile,78 healthy individuals who had their medical checkups at the hospital during the same period were the control group.Enzyme linked immunosorbent assay(ELISA)was applied to detect serum APRIL and NDRG1 levels,and the general data of the recurrent and non recurrent groups were compared.Logistic regression analysis was applied to analyze the relevant factors affecting the prognosis of OEM.Pearson analysis was applied to explore the correlation between serum APRIL and NDRG1 levels in patients with OEM.Receiver operating characteristic(ROC)curve was applied to evaluate the diagnostic value of serum APRIL,NDRG1 levels and their combination for OEM.Results Compared with the control group,APRIL level(35.28±6.81ng/ml vs 26.37±3.19ng/ml)and NDRG1 level(124.39±15.67μg/L vs 9.67±10.82μg/L)in observation group were increased,and the differences were significant(t=10.864,17.278,all P<0.05).Compared with the non recurrence group,the serum levels of APRIL(40.38±7.88ng/ml vs 32.16±6.18ng/ml)and NDRG1(132.04±19.83μg/L vs 119.73±13.16μg/L)in the recurrence group were increased,and the differences were significant(t=6.668,4.287,all P<0.05).Logistic regression analysis showed that serum APRIL and NDRG1 levels were risk factors for the prognosis of patients with OEM(Waldχ2=11.839,28.437,all P＜0.001).Pearson method analysis results showed a positive correlation between serum APRIL level and NDRG1 level in patients with OEM(r=0.439,P<0.001).The area under the curve(AUC)of combined diagnosis of serum APRIL and NDRG1 levels in patients with OEM was 0.849,with a sensitivity and specificity of 73.95%and 85.37%,respectively,which was better than the single prediction of APRIL and NDRG1(Z =2.644,2.094,P=0.008,0.036).Conclusion The serum levels of APRIL and NDRG1 were increased in patients with OEM.The combination of the two has high clinical value in the diagnosis of OEM,which may be closely related to the prognosis of patients with OEM.

The identification of clinical questions for clinical practice guidelines of Chinese patent medicine （CPM） is important for subsequent evidence retrieval， evaluation of evidence quality， formation of recommendations. This paper described a methodological proposal for the identification of clinical questions for CPM guidelines to highlight the characteristics of Chinese patent medicine and reflect its effect in specific stage of the disease. Considering four aspects， namely， the drug of Chinese patent medicine （D）， the specific disease stage （S）， comparison （C）， and specific outcome （O）， DSCO framework has been proposed to formulate the clinical questions. Multi-source information through scientific research， policy or standard documents， and clinical data are suggested for collecting clinical questions， and clear selection criteria should be set to finalize the clinical questions to be addressed by the guideline. In addition， the above process needs to be transparently and publicly reported in order to ensure the clarity and completeness of the guidelines.

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.