OBJECTIVE To develop a population pharmacokinetic （PPK） model for mycophenolate mofetil active metabolite mycophenolic acid （MPA） in children with primary IgA nephropathy， explore the factors affecting the pharmacokinetic parameters of MPA， and provide a basis for clinical individualized therapy. METHODS Retrospective collection was conducted on 636 concentrations and clinical data from 47 pediatric patients with primary IgA nephropathy. PPK analysis was carried out by using the nonlinear mixed-effects model； the covariates were tested with a stepwise method. Goodness-of-fit plots， Bootstrap and visual predictive check were employed to evaluate the final model. RESULTS The pharmacokinetics of MPA in children with IgA nephropathy in vivo conformed to the first-order absorption and elimination two-compartment model （objective function value of 3 276.31）. Covariate analysis suggested that body weight and albumin （ALB） levels were significant influencing factors on apparent clearance rate and apparent distribution volume. The typical values of PPK parameters of MPA in the final model were as follows： the central room had a distributed volume of 5.79 L， the clearance rate was 4.06 L/h， the volume of peripheral ventricular distribution was 430.93 L， the clearance rate between compartments was 15.40 L/h， the oral absorption rate constant was 1.29 h－1. After verification， most of the predicted corrected observed concentration points were within the 90% confidence interval of the predicted corrected simulated concentration， indicating that the MPA final model had good predictive performance. CONCLUSIONS The PPK model of MPA in children with primary IgA nephropathy is established in this study， identifying body weight and ALB levels are significant factors affecting MPA metabolism.

ObjectiveTo investigate the effect of transplantation of bone marrow mesenchymal stem cells （BMSCs） co-cultured with bone marrow-derived M2 macrophages （M2-BMDMs）， named as BMSC^M2， on a rat model of liver cirrhosis induced by carbon tetrachloride （CCl₄）/2-acetaminofluorene （2-AAF）. MethodsRat BMDMs were isolated and polarized into M2 phenotype， and rat BMSCs were isolated and co-cultured with M2-BMDMs at the third generation to obtain BMSC^M2. The rats were given subcutaneous injection of CCl₄ for 6 weeks to establish a model of liver cirrhosis， and then they were randomly divided into model group （M group）， BMSC group， and BMSC^M2 group， with 6 rats in each group. A normal group （N group） with 6 rats was also established. Since week 7， the model rats were given 2-AAF by gavage in addition to the subcutaneous injection of CCl₄. Samples were collected at the end of week 10 to observe liver function， liver histopathology， and hydroxyproline （Hyp） content in liver tissue， as well as changes in the markers for hepatic stellate cells， hepatic progenitor cells， cholangiocytes， and hepatocytes. A one-way analysis of variance was used for comparison of continuous data between multiple groups， and the least significant difference t-test was used for further comparison between two groups. ResultsCompared with the N group， the M group had significant increases in the activities of serum alanine aminotransferase （ALT） and aspartate aminotransferase （AST） （P<0.01）； compared with the M group， the BMSC and BMSC^M2 groups had significant reductions in ALT and AST （P<0.01）， and the BMSC^M2 group had significantly better activities than the BMSC group （P<0.05）. Compared with the N group， the M group had significant increases in Hyp content and the mRNA and protein expression levels of alpha-smooth muscle actin （α-SMA） in the liver （P<0.01）； compared with the M group， the BMSC and BMSC^M2 groups had significant reductions in Hyp content and the expression of α-SMA （P<0.05）， and the BMSC^M2 group had a significantly lower level of α-SMA than the BMSC group （P<0.01）. Compared with the N group， the M group had significant increases in the mRNA expression levels of the hepatic progenitor cell markers EpCam and Sox9 and the cholangiocyte markers CK7 and CK19 （P<0.01） and significant reductions in the expression levels of the hepatocyte markers HNF-4α and Alb （P<0.01）； compared with the M group， the BMSC and BMSC^M2 groups had significant reductions in the mRNA expression levels of EpCam， Sox9， CK7， and CK19 （P<0.05） and significant increases in the mRNA expression levels of HNF-4α and Alb （P<0.05）， and compared with the BMSC group， the BMSC^M2 group had significant reductions in the mRNA expression levels of EpCam and CK19 （P<0.05） and significant increase in the expression level of HNF-4α （P<0.05）. ConclusionM2-BMDMs can enhance the therapeutic effect of BMSCs on CCl₄/2-AAF-induced liver cirrhosis in rats， which provides new ideas for further improving the therapeutic effect of BMSCs on liver cirrhosis.

Objective To observe the effects of carvedilol on renal function in mice with diabetic kidney disease(DKD)and to preliminarily study its mechanism of action.Methods C57BL/6J male mice were randomly divided into control group,model group and experimental group,with 10 mice in each group.The mouse model of type Ⅰ diabetes was established by intraperitoneal injection of 150 mg·kg-1 streptozotocin(STZ).After successful modeling,the experimental group mice were given 10 mg·kg-1·d-1 carvedilol by gavage,while the control group and model group were given equal amounts of 0.9％NaCl.During the experiment,the fasting blood glucose(FBG)of mice were monitored weekly.After 8 weeks of administration,the urinary albumin to creatinine ratio(UACR),uric acid(UA),and other contents in the urine of mice were detected,as well as the levels of iron(Fe),superoxide dismutase(SOD),and malondialdehyde(MDA)in the renal tissue.And hematoxylin-eosin(HE)and Masson staining were performed on the renal tissue to observe the pathological changes of the kidney.Results After 8 weeks of administration,the UACR of the control group,model group and experimental group were(12.43±1.13),(63.01±20.78)and(19.79±1.94)mg·mmol-1;the UA levels were(132.10±10.14),(174.40±7.06)and(135.00±3.95)μmol·L-1;the Fe levels were(7.49±0.81),(9.98±0.46)and(7.02±0.60)μmol·g prot-1;the SOD activities were(34.56±0.58),(30.27±1.22)and(34.43±1.36)U·mg prot1;the MDA contents were(5.49±0.31),(7.72±0.17)and(4.46±0.32)nmol·mg prot-1.The differences between model group and normal group were statistically significant(all P＜0.05);compared between experimental group and model group,the difference were significant(all P＜0.05).Conclusion Carvedilol can alleviate the damage of renal function in diabetes mice,and its mechanism may be related to inhibiting iron death and alleviating oxidative stress injury.

Objective To understand the characteristics and epidemic trend of syphilis in Wuhan from 2010 to 2021, and to provide a reference for the formulation of further prevention and control measures. Methods Data on Wuhan syphilis epidemics from 2010 to 2021 was collected from the China Disease Prevention and Control Information System. The epidemic characteristics and trends of syphilis were analyzed. Results From 2010 to 2021, a total of 36 628 confirmed cases of syphilis were reported in Wuhan, and the reported incidence rate decreased from 29.70/100 000 to 29.62/100 000, with an average annual decrease of 0.33% (P=0.843). Among them, the reported incidence of stage 1 syphilis decreased by 14.37% annually (P<0.001), stage 2 syphilis decreased by 18.59% annually (P<0.001), stage 3 syphilis decreased by 2.02% annually (P=0.523), and fetal syphilis decreased by 22.90% annually (P<0.001), while recessive syphilis increased by 9.19% annually (P<0.001). The ratio of male to female increased from 1.04:1 to 1.36:1 (P<0.001). The proportion of people aged 60 and above increased from 18.44% to 31.17% (P<0.001), and the 35-59 age group had the highest number of reported cases of syphilis in both men and women. Recessive syphilis was most common in men and women aged over 18 years old, and the proportion of recessive syphilis increased with age. Conclusion The prevention and control of syphilis has achieved phased results, especially in mother-to-child interruption and non-recessive syphilis control. On the basis of continuing to consolidate and strengthen the achievements of the current stage, the future syphilis prevention and control work should focus on and respond to the increasing trend of recessive syphilis cases, and take more targeted interventions for people over 60 years old, so as to further curb the spread of syphilis.

The purpose of this study was to enrich the genomic information and provide a basis for further development and utilization of Polygonatum kingianum. The fresh rhizome of P. kingianum was used as the experimental material, and the full-length transcriptome was sequenced by PacBio Sequel platform. The final measured polymerase reads were 1 120 485, with a total of 77.73 GB of data. In NR database, 41 864 homologous sequence alignments were aligned to 5 species; 40 506 were annotated in the KOG database and classified into 26 categories based on their functionality; 69 060 GO annotated 32 functional groups divided into 3 categories: cellular components, molecular functions, and biological processes; 45 779 annotations were added to 145 metabolic pathways in the KEGG database. Among them, there are 127 identified transcripts related to polysaccharide synthesis in the glycolysis/gluconeogenesis metabolic pathway, 144 in the starch and sucrose metabolic pathway, 85 in the amino acid sugar and nucleotide sugar metabolic pathway, and 69 in the fructose and mannose metabolic pathway. In addition, 1 781 transcription factors were detected, distributed in 37 transcription factor families; 180 293 SSR loci were detected, among which single base repeats accounted for the most, accounting for 30.48% of all base repeats, and at least five base repeats, accounting for only 0.14% of single base repeats. The results of this study provide important data supporting for enriching the genomic information of P. kingianum and exploring its effective biosynthetic pathway.

DNA origami is a powerful technique for generating nanostructures with dynamic properties and intelligent controllability. The precise geometric shapes, high programmability, and excellent biocompatibility make DNA origami nanostructures an emerging drug delivery vehicle. The shape, size of the carrier material, as well as the loading and release of drugs are important factors affecting the bioavailability of drugs. This paper focuses on the controllable design of DNA origami nanostructures, efficient drug loading, and intelligent drug release. It summarizes the cutting-edge applications of DNA origami technology in biomedicine, and discusses areas where researchers can contribute to further advancing the clinical application of DNA origami carriers.

The conventional oral drug delivery frequently results in the drug elimination before its complete release due to rapid gastric emptying and short gastrointestinal transport time, thus reducing the bioavailability of drug. In order to maintain an effective concentration of drug in the body and maximize its optimal efficacy, the frequency of administrations often needs to be increased. By contrast, gastric retention drug delivery system (GRDDS), as an innovative method of drug delivery, prolongs the retention time of the drug in the stomach and reduces irritation to the gastrointestinal tract. Consequently, it enhances the bioavailability of drug, reduces dosing frequency for patients and improves treatment adherence. In recent years, domestic and foreign studies have been conducted on gastric retention drug delivery systems. Here, we provide a comprehensive overview of the relevant literature published in recent years, examining their current marketing status, various types, as well as in vivo and in vitro evaluation methods.

Patient-based real-time QC (PBRTQC) uses patient-derived data to assess assay performance. PBRTQC algorithms have advanced in parallel with developments in computer science and the increased availability of more powerful computers. The uptake of Artificial Intelligence in PBRTQC has been rapid, with many stated advantages over conventional approaches. However, until this review, there has been no critical comparison of these. The PBRTQC algorithms based on moving averages, regression-adjusted real-time QC, neural networks and anomaly detection are described and contrasted. As Artificial Intelligence tools become more available to laboratories, user-friendly and computationally efficient, the major disadvantages, such as complexity and the need for high computing resources, are reduced and become attractive to implement in PBRTQC applications.

Patient-based real-time QC (PBRTQC) uses patient-derived data to assess assay performance. PBRTQC algorithms have advanced in parallel with developments in computer science and the increased availability of more powerful computers. The uptake of Artificial Intelligence in PBRTQC has been rapid, with many stated advantages over conventional approaches. However, until this review, there has been no critical comparison of these. The PBRTQC algorithms based on moving averages, regression-adjusted real-time QC, neural networks and anomaly detection are described and contrasted. As Artificial Intelligence tools become more available to laboratories, user-friendly and computationally efficient, the major disadvantages, such as complexity and the need for high computing resources, are reduced and become attractive to implement in PBRTQC applications.

Patient-based real-time QC (PBRTQC) uses patient-derived data to assess assay performance. PBRTQC algorithms have advanced in parallel with developments in computer science and the increased availability of more powerful computers. The uptake of Artificial Intelligence in PBRTQC has been rapid, with many stated advantages over conventional approaches. However, until this review, there has been no critical comparison of these. The PBRTQC algorithms based on moving averages, regression-adjusted real-time QC, neural networks and anomaly detection are described and contrasted. As Artificial Intelligence tools become more available to laboratories, user-friendly and computationally efficient, the major disadvantages, such as complexity and the need for high computing resources, are reduced and become attractive to implement in PBRTQC applications.