BACKGROUND:A previous study by our group found that protein phosphatase 2Cm(PP2Cm)null mice developed significantly fewer symptoms of renal failure relative to wild-type mice,and thus it was speculated that PP2Cm may play an important protective role in the development of renal fibrosis,however,the molecular mechanisms remain undefined. OBJECTIVE:To investigate the effect of the PP2Cm gene on the transcriptome of human renal tubular epithelial cells. METHODS:Cultured human renal tubular epithelial cells were transfected with the PP2Cm gene into human renal tubular epithelial cells using plasmids.The expression of PP2Cm in the cells was detected by fluorescence quantitative PCR assay and western blot assay,and subsequently,cell RNA was separately extracted for transcriptome sequencing to look for differentially expressed genes between transfected and control groups.The resulting differential genes were further subjected to GO analysis and KEGG analysis using bioinformatics methods. RESULTS AND CONCLUSION:There were 796 differentially expressed genes,553 of which were downregulated genes and 243 upregulated genes,in human renal tubular epithelial cells transfected with the PP2Cm gene compared with untransfected blank cells by sequencing analysis.GO analysis results showed that the upregulated genes were significantly enriched in cellular biosynthetic processes,protein translation,intrinsic apoptotic signaling pathways,and so on.The downregulated expressed genes were significantly enriched in endothelial cell proliferation,cell adhesion and other signaling pathways.KEGG analysis results showed that the significantly up-regulated genes were enriched in metabolism-related signaling pathways such as amino acid metabolism and biosynthesis.The downregulated expressed genes were significantly enriched in signaling pathways such as pantothenate and coenzyme A biosynthesis.Our results show that PP2Cm overexpression can affect a number of signaling pathways related to a range of biological processes in renal tubular epithelial cells,which may be important in metabolism-related signaling pathways such as amino acid metabolism and biosynthesis.

Objective To study the pharmacokinetic characteristics of buspirone hydrochloride tablets in healthy adult populations under conditions of fasting and postprandial administration.Methods A single-center,randomized,three-cycle partially repeated crossover trial design was adopted,and 36 subjects were enrolled on fasting/postprandial,one tablet of the test preparation was taken in one cycle,one tablet of reference preparation(5 mg of buspirone tablets)was taken once in each of 2 cycles,the drug concentration of buspirone in plasma was determined by liquid chromatography-tandem mass spectrometry,and the pharmacokinetic parameters were calculated by WinNonlin software.Results Main pharmacokinetics of buspirone after oral administration of test and reference preparations in fasting group,the Cmax was(285.72±286.08)and(308.94±341.03)pg·mL-1;AUC0-t were(577.09±491.10)and(618.62±642.56)pg·mL-1·h;AUC0-∞ were(586.85±510.04)and(655.92±687.95)pg·mL-1·h;tmax was 0.75(0.33-4.00)and 0.75(0.33-1.75)h.Main pharmacokinetics of buspirone after oral administration of test and reference preparations in the postprandial group,the Cmax were(676.36±603.64)and(760.33±610.27)pg·mL-1;AUC0-t were(1 755.58±1 001.69)and(1 743.00±1 073.33)pg·h·mL-1;AUC0-∞ were(1 839.97±1 044.60)and(1 818.00±1 106.95)pg·mL-1·h;tmax was 1.25(0.25-4.50)and 1.00(0.25-3.50)h.The 90％confidence intervals of the AUC0-t and AUC0-∞ geometric mean ratios of the test preparation and the reference preparation in the fasting test and the postprandial test all fell between 80.00％and 125.00％,and the 95％upper confidence limit of of Cmax was ≤0 and geometric mean ratios point estimates fall between 80.00％and 125.00％.Conclusion Two kinds of buspirone hydrochloride are bioequivalent in Chinese healthy adult subject.

Objective To establish and validate a method for simultaneous determination of 9 sedative-hypnotics in human plasma,and to explore the preliminary clinical application.Methods Plasma samples were precipitated with acetonitrile and determined by high performance liquid chromatography tandem mass spectrometry.The column was Agilent Poroshell 120 EC-C18(2.1 mm × 50.0 mm,2.7μm)and eluted with acetonitrile water containing 0.1％formic acid in an equal degree program at a flow rate of 0.3 mL·min-1.The column temperature was 20 ℃ and injection volume was 5 μL.The deprotonated ions of analytes were ionized by positive ion,electron spray ionization and multiple reaction monitoring mode.The specificity,standard curve and lower limit of quantification,precision and recovery,matrix effect,stability and dilution effect of the method were investigated.Results Excellent linear relationship with correlation coefficient of r2 ≥ 0.997 7 was obtained.The linear of esazolam,alprazolam,oxazepam,clonazepam,lorazepam,triazolam,midazolam,diazepam and zolpidem were 18-1 800,4.5-450,25-2 500,3.5-350,25-2 500,1.5-150,5.5-550,35-3 500,4-400 ng·mL-1,respectively.The lower limit of quantification were 18,4.5,25,3.5,25,1.5,5.5,35,4 ng·mL-1.The method was accurate and precise with acceptable intra-day and inter-day precisions(relative standard deviations were less than 20％for a lower limit of quantification and less than 15％for other quality control samples)and an accuracy of 86.21％-112.38％.The extraction recovery rate were 93.07％-110.50％.The matrix factors normalized by internal standard were 86.61％-108.41％,relative standard deviations were less than 15％.Plasma samples remained stable under various storage conditions.The precision and accuracy of plasma samples were acceptable after dilution.Conclusion The method is simple,rapid,sensitive and specific,and it can be used for simultaneous detection of the 9 sedative-hypnotics in human plasma.

The current situation of medical simulation technology was introduced when applied in medical service of foreign armies.The current situation and problems of medical simulation technology in mobile medical service detachment training of the PLA were described.Some suggestions were put forward including completing medical simulation management system,optimizing personnel managment and training mode and promoting standardization and modular construction of medical simulation system.References were provided for enhancing combat-oriented training and medical service support capability of levels of medical service institutions and mobile medical service detachment of the PLA.[Chinese Medical Equipment Journal,2024,45(10):88-92]

Jumonji domain-containing protein D3(JMJD3)is a 2-oxoglutarate-dependent dioxygenase that specif-ically removes transcriptional repression marks di-and tri-methylated groups from lysine 27 on histone 3(H3K27me2/3).The erasure of these marks leads to the activation of some associated genes,thereby influencing various biological processes,such as development,differentiation,and immune response.However,comprehensive descriptions regarding the relationship between JMJD3 and inflammation are lacking.Here,we provide a comprehensive overview of JMJD3,including its structure,functions,and involvement in inflammatory pathways.In addition,we summarize the evidence supporting JMJD3's role in several inflammatory diseases,as well as the potential therapeutic applications of JMJD3 inhibitors.Additionally,we also discuss the challenges and opportunities associated with investigating the functions of JMJD3 and developing targeted inhibitors and propose feasible solutions to provide valuable insights into the functional exploration and discovery of potential drugs targeting JMJD3 for inflammatory diseases.

Objective To investigate the nutritional status of children with cystic fibrosis(CF)and understand the correlation between malnutrition and clinical characteristics as well as lung function.Methods A retrospective analysis was performed on clinical data of CF children admitted from January 2016 to June 2023.Clinical characteristics of CF children with different nutritional statuses were compared,and the correlation between malnutrition and lung function was analyzed.Results A total of 52 CF children were included,comprising 25 boys(48％)and 27 girls(52％),aged between 7 months and 17 years.Respiratory symptoms were the predominant clinical manifestations(96％,50/52).The prevalence of malnutrition was 65％(34/52),with moderate/severe malnutrition being the most common(65％,22/34).The malnutrition group had a longer duration of illness,higher proportion of digestive system symptoms,and lower levels of serum albumin(P＜0.05).Pulmonary function parameters,including forced expiratory volume in one second as a percentage of the predicted value,ratio of forced expiratory volume in one second to forced vital capacity,forced expiratory flow at 25％of forced vital capacity exhaled,forced expiratory flow at 50％of forced vital capacity exhaled,forced expiratory flow at 75％of forced vital capacity exhaled,and maximum mid-expiratory flow as a percentage of the predicted value,were lower in the malnutrition group compared to the normal nutrition group(P＜0.05).Correlation analysis showed body mass index Z-score was positively correlated with the above six pulmonary function parameters(P＜0.05).Conclusions The prevalence of malnutrition is high in CF children and is associated with decreased lung function.CF children with higher body mass index have better lung function.Therefore,screening and evaluation of nutritional status as well as appropriate nutritional intervention should be emphasized in CF children.[Chinese Journal of Contemporary Pediatrics,2024,26(3):275-281]

Hemophilic arthritis(HA),caused by recurrent bleeding,can seriously affect patient quality of life and consumes extensive social and medical resources.There is thus a need to establish an animal model of HA for research;however,this is limited by ethical requirements.Here we review the recent literature and summarize research progress into animal models of HA at home and abroad,from the aspects of species selection,modeling method,histopathology,and imaging evaluation method.Species selection includes rodents such as mice,New Zealand rabbits,beagles,miniature pigs,and crab-eating macaques.Modeling method comprise gene knockout trauma models,gene knockout spontaneous models,and injection models.Among these,the gene knockout spontaneous model closely mimics the pathological process of spontaneous bleeding and concurrent arthritis in human HA,making it more relevant to human HA.However,due to high modeling costs,phenotypic instability,and low survival rates,this model is not the preferred choice for animal experimental studies.In contrast,gene knockout trauma models exhibit characteristics such as short modeling time,strong stability,and high success rates,thus being widely utilized in animal experimental research.Evaluation of HA models involves various imaging method including MRI,micro-CT,MSKUS/PD,in addition to various gross scoring method.By reviewing the progress of HA model research,more experimental evidence is provided for investigating the pathogenesis and validating the efficacy of HA treatments,thereby compensating for the lack of clinical data,particularly in the field of traditional Chinese medicine therapy.

Objective To explore the anti-inflammatory effect of Qingre Jiedu(QRJD)formula on mice with gout and its effect on gut microbiota.Methods Forty C57BL/6 mice weighing 20～22 g were divided into control(CON),model(MOD),allopurinol(ALLO),and QRJD formula(QRJD)groups,and i.g.10 g/0.1 mL carboxymethyl cellulose was administered to the CON every morning from 1 to 35 days.A hyperuricemia mouse model was prepared by intragastric injection of a potassium oxalic acid(500 mg/kg)and yeast extract(10 g/kg)suspension.On day 29,50 μL sterile carboxymethyl cellulose was injected into the right ankle of mice in the CON group under isoflurane-induced anesthesia,and a gouty arthritis model was prepared by injecting the same volume of sodium urate(50 mg/mL)into the right ankle of mice in the other groups.Each group was treated with corresponding drugs every day.On day 35,samples were collected from mice that had been fasted for 6 hours without water.Blood indexes,such as uric acid,creatinine,and urea nitrogen,were assessed.Hematoxylin-eosin and saffranine O-fast green staining was performed on ankle joints.Anti-inflammatory indexes of interleukin-10(IL-10)and transforming growth factor-β1(TGF-β1)were detected by ankle joints immunohistochemical assay.The cecum contents of mice were collected,and changes in gut microbiota were analyzed by high-throughput sequencing of 16S rDNA.Results(1)After 7 days of treatment,compared with the MOD group,QRJD formula effectively reduced the blood concentrations of uric acid(P＜0.001),creatinine(P＜0.01),and urea nitrogen(P＜0.05),and effectively protected renal functions.(2)Compared with the MOD group,HE staining showed that synovial hyperplasia and inflammatory cell infiltration were reduced in the QRJD formula group after treatment.The cartilage arrangement of the compound was more orderly than before,cartilage destruction was less than that in the MOD group,and no matrix loss was observed.(3)Immunohistochemical analysis of the ankle joint indicated that IL-10 and TGF-β1 were not significantly increased in CON and MOD groups.Compared with the MOD group,IL-10 and TGF-β1 expression in the QRJD formula group were increased(P＜0.05).(4)In terms of biodiversity,the number of MOD-specific OTUs increased by 75 compared to the CON group,while the QRJD was able to reduce the number of MOD-specific OTUs to more closely resemble the CON group;no significant difference was found in α-diversity among the four groups(P＜0.05),whereas β-diversity was more similar to the CON group(P=0.001).(5)Compared with the CON group,the MOD group exhibited increased abundances(P＜0.05)of Ruminococcaceae spp.,Dubosiella sp.,Tyzzerella sp.,Ileibacterium sp.,and Bacteroidales spp..In contrast to the MOD group,the QRJD formula group showed elevated abundances(P＜0.05)of Lactobacillus sp.,Ligilactobacillus sp.,and Bacteroides sp..Furthermore,an interaction network of gut microbiota indicated mutual interactions among these microorganisms.(6)In the correlation analysis between gut microbiota and renal functions as well as anti-inflammatory factors,the relative abundances of Dubosiella sp.,Tyzzerella sp.,and Bacteroidales spp.were significantly positively correlated to SUA and SCR(P＜0.05).However,Lactobacillus sp.,Ligilactobacillus sp.,and Mitochondria spp.exhibited a positive correlation to anti-inflammatory factors IL-10 and TGF-β1 with a more significant association observed for TGF-β1(P＜0.05).(7)COG function prediction suggested that the functions of the QRJD formula group were concentrated on inorganic ion transport and metabolism,and carbohydrate transport and metabolism.Conclusions QRJD effectively modulates immune inflammation and gut microbiota dysbiosis,thereby treating gout.Its mechanism of gout prevention and treatment may involve regulation of gut microbiota diversity and abundance,as well as the control of the abundance of differential bacterial species,such as Ruminococcaceae spp.,Dubosiella sp.,and Lactobacillus sp.,to achieve gout therapy.

Background/Aims: Despite the high efficacy of direct-acting antivirals (DAAs), approximately 1–3% of hepatitis C virus (HCV) patients fail to achieve a sustained virological response. We conducted a nationwide study to investigate risk factors associated with DAA treatment failure. Machine-learning algorithms have been applied to discriminate subjects who may fail to respond to DAA therapy. Methods: We analyzed the Taiwan HCV Registry Program database to explore predictors of DAA failure in HCV patients. Fifty-five host and virological features were assessed using multivariate logistic regression, decision tree, random forest, eXtreme Gradient Boosting (XGBoost), and artificial neural network. The primary outcome was undetectable HCV RNA at 12 weeks after the end of treatment. Results: The training (n=23,955) and validation (n=10,346) datasets had similar baseline demographics, with an overall DAA failure rate of 1.6% (n=538). Multivariate logistic regression analysis revealed that liver cirrhosis, hepatocellular carcinoma, poor DAA adherence, and higher hemoglobin A1c were significantly associated with virological failure. XGBoost outperformed the other algorithms and logistic regression models, with an area under the receiver operating characteristic curve of 1.000 in the training dataset and 0.803 in the validation dataset. The top five predictors of treatment failure were HCV RNA, body mass index, α-fetoprotein, platelets, and FIB-4 index. The accuracy, sensitivity, specificity, positive predictive value, and negative predictive value of the XGBoost model (cutoff value=0.5) were 99.5%, 69.7%, 99.9%, 97.4%, and 99.5%, respectively, for the entire dataset. Conclusions Machine learning algorithms effectively provide risk stratification for DAA failure and additional information on the factors associated with DAA failure.

Objective:To investigate the value of radiomics based on three-dimensional high resolution MR vessel wall imaging (3D HRMR-VWI) for identifying culprit plaques in symptomatic patients with middle cerebral atherosclerosis.Methods:The clinical and imaging features of 117 patients (139 middle cerebral artery plaques) with cerebrovascular diseases in Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology from October 2018 to October 2020 were respectively reviewed. Stratified random sampling was used to divide 139 plaques into training set (97 plaques) and validation set (42 plaque) at the ratio of 7∶3. The plaques were divided into 69 culprit plaques and 70 non-culprit plaques based on plaque MR features and clinical symptoms. The clinical and imaging characteristics of culprit plaques and non-culprit plaques were compared by independent sample t-test, Mann-Whitney U test and χ 2 test, and factors with significant difference between two groups in univariate analysis were further analyzed by multivariate logistic regression to find out the independent predictors of culprit plaques. Radiomics features were extracted, screened and radiomics model was constructed using pre-and post-contrast 3D HRMR-VWI based on the training set. The combined model was constructed by combining the independent predictors and radiomics model. Receiver operating characteristic curve and area under curve (AUC) were used to evaluate the efficacy of each model, and DeLong test was used to compare the efficacy of different models. Results:Significant difference was found in intraplaque hemorrhage, lumen area of stenosis, stenosis diameter, stenosis rate, plaque burden and enhancement rate between culprit and non-culprit plaques (all P<0.05). Multivariate logistic regression analysis confirmed that only intraplaque hemorrhage was the independent predictor for culprit plaques (OR=7.045,95%CI 1.402-35.397, P=0.018). In the validation set, the AUC of the pre-contrast 3D HRMR-VWI model was lower than that of the post-contrast 3D HRMR-VWI model ( Z=-2.01, P=0.044). The AUC of pre+post-contrast 3D HRMR-VWI model was not significantly different from that of post-contrast 3D HRMR-VWI model ( Z=0.79, P=0.427). The AUC showed no significant difference between combined model and pre+post-contrast 3D HRMR-VWI model ( Z=-0.59, P>0.05). The combined model showed the best performance in predicting culprit plaques of middle cerebral artery (AUC=0.939), with the sensitivity, specificity and accuracy of 95.24%, 76.19% and 85.71%. Conclusion:Radiomics based on 3D HRMR-VWI has potential values in identifying culprit plaques in symptomatic patients with middle cerebral atherosclerosis.