ObjectiveTo evaluate the detection specificity for clinical samples and the detection capability for standard substances of five commercially available multiplex polymerase chain reaction (PCR) nucleic acid detection kits (hereinafter referred to as the kits) for respiratory pathogens, and to provide a reference for selecting appropriate detection kits for multi-pathogen nucleic acid testing of respiratory infections. MethodsA total of 60 respiratory pathogen-positive clinical samples with known redults were selected and tested using the five kits (labeled as A, B, C, D, and E). The detection rates and Kappa coefficients were calculated to evaluate the consistency between the results from these kits and those from single-pathogen PCR kits. According to the limit of detection (LOD) provided by the kits, standard substances of respiratory pathogens (including 12 types such as influenza virus, Mycoplasma pneumoniae, and Bordetella pertussis) were diluted to four concentrations (250, 500, 1 000, and 2 000 copies·mL⁻¹). All five kits were used for detection to evaluate their respective detection capabilities. ResultsCompared with the results from single-pathogen PCR kits, the five tested kits demonstrated good consistency (all Kappa >0.80). Among them, Kit A had the highest detection rate (100.00%), followed by Kits C and E (98.33%), and then Kits B and D (95.00%). All five kits showed a relatively low false negative rate (FNR) for samples with a cycle threshold (Ct) value ≤35 (≤2.38%). However, for samples with Ct values>35, the FNR increased accordingly(average FNR=6.67%, P=0.029). Kit C exhibited the highest detection sensitivity for the tested standard substances (average LOD: 458.33 copies·mL⁻¹), followed by Kit D, then Kits A/E, and finally Kit B. ConclusionThe five multiplex PCR kits showed good consistency with single-pathogen detection results, but each had its own performance emphasis. Kit A, with the highest detection rate and high throughput, is suitable for targeted viral screening. Kit B, covering the broadest pathogen spectrum (including fungi/bacteria), is suitable for comprehensive respiratory pathogen screening. Kits C, D and E, are applicable for rapid detection. It is important to note that the detection efficacy of all kits decreases for low viral load samples with Ct values >35. In practical application, selection should be based on specific screening objectives, throughput requirements, and sample types.

Aim To investigate the effect of Rtv(a P-gp inhibitor and inducer)on the pharmacokinetics of Y101(P-gp substrate)via P-gp.Methods In short-term studies,rats received a single dose of Rtv,where-as in long-term studies they received continuous dosing for seven days.Following this treatment,Y101 was o-rally administered to analyze its blood concentration in rats.Subsequently,the mechanism by which Rtv af-fected Y101 pharmacokinetics was investigated through the everted gut sac model(in vitro),cellular uptake studies,and so on.Results Short-term administra-tion of Rtv significantly increased Y101's AUC,liver-to-plasma partition coefficient,the everted gut sac model(in vitro),and cellular accumulation.Although long-term Rtv treatment had no effect on Y101 pharma-cokinetics or hepatic distribution,it markedly reduced Y101 cellular accumulation in Caco-2 cells,concomi-tant with an upregulation of P-gp expression.Conclu-sions Short-term Rtv administration acts as a compet-itive P-gp inhibitor,enhancing Y101 intestinal absorp-tion and hepatic distribution.In contrast,the plasma pharmacokinetics and hepatic distribution of Y101 are not altered after long-term administration of Rtv,po-tentially attributable to Rtv's dual modulatory effects on P-gp involving both induction and inhibition.Hence,the potential Rtv and Y101 interaction should be close-ly monitored in the clinic.

The scientific research and innovation capabilities of medical students are intrinsically linked to the sustained and high-quality development of national healthcare initiatives.Cultivating outstanding medi-cal students with independent scientific capabilities and innovative consciousness is a critical component in the education and training of high-level medical professionals.Our investigation revealed that within the imperfections of the cultivating model,some faculty and students at medical schools have an insufficient understanding of scientific research and innovation and lack motivation for engaging in such activities,which hinder the progression of scientific research activities.Consequently,we initiated a teaching practice and exploratory study on the"tutorial system"aimed at fostering medical students'scientific research and innovation abilities.Based on the principle of"research informing teaching,teaching and research advan-cing together,"this study implements a"tutorial system"coordinated by tutors,supplemented by graduate and undergraduate student mentors,to cultivate innovative thinking,stimulate interest in scientific re-search,and enhance practical and research skills among medical students.Through collaborative efforts within"scientific research innovation teams,"various educational methods—including preliminary re-search,in-class and extracurricular activities,intra-group and inter-group interactions,and theoretical and practical applications—are employed to improve and strengthen the cultivation of medical students'scientif-ic research and innovation abilities.This study aims to provide valuable references for optimizing medical education management systems and enhancing the quality of medical student training.

The scientific research and innovation capabilities of medical students are intrinsically linked to the sustained and high-quality development of national healthcare initiatives.Cultivating outstanding medi-cal students with independent scientific capabilities and innovative consciousness is a critical component in the education and training of high-level medical professionals.Our investigation revealed that within the imperfections of the cultivating model,some faculty and students at medical schools have an insufficient understanding of scientific research and innovation and lack motivation for engaging in such activities,which hinder the progression of scientific research activities.Consequently,we initiated a teaching practice and exploratory study on the"tutorial system"aimed at fostering medical students'scientific research and innovation abilities.Based on the principle of"research informing teaching,teaching and research advan-cing together,"this study implements a"tutorial system"coordinated by tutors,supplemented by graduate and undergraduate student mentors,to cultivate innovative thinking,stimulate interest in scientific re-search,and enhance practical and research skills among medical students.Through collaborative efforts within"scientific research innovation teams,"various educational methods—including preliminary re-search,in-class and extracurricular activities,intra-group and inter-group interactions,and theoretical and practical applications—are employed to improve and strengthen the cultivation of medical students'scientif-ic research and innovation abilities.This study aims to provide valuable references for optimizing medical education management systems and enhancing the quality of medical student training.

Objective:By sequencing and analyzing the biliary flora by 16S rDNA high-throughput sequencing technology,to identify the main flora associated with gallbladder stone formation and the main flora regulated by the Dahuang lingxian(DHLX),pre-liminary investigation the effect of DHLX on the biliary flora.Methods:The 50 male guinea pigs were randomly divided into Normal group,Model group,DHLX group.There were 15 guinea pigs in the normal group and 20 guinea pigs in the DHLX group,and 20 guin-ea pigs in the model group:the guinea pig model of gallstone was replicated with high-fat lithogenic diet,which was simultaneously ad-ministrated by gavage.After continuous intervention for 8 weeks,bile and gallbladder tissue samples were collected,and the gallstone formation rate of guinea pigs in each group was calculated,the pathological morphological changes of gallbladder tissue were detected by HE,T-CHO,TBA,LPS,IL-6,TNF-α were detected by ELISA,and the changes of biliary flora were detected by 16S rDNA;the correlation between biliary flora and bile index was detected by Pearson statistical method.Results:The stone formation rate of guinea pigs in the normal group was 8.3%,the rate of model stone composition was 90.8%,and the stone composition rate of DHLX group was 36.4%,and the HE staining results showed that compared with the normal group,the mucous membrane of the guinea pig in the model group was thickened,the columnar epithelial cells were arranged in a large number of inflammatory cells,and the columnar epi-thelial cells of the gallbladder mucosa in the chinese medicine group were arranged neatly compared with the model group,the thick-ness of the mucosa was reduced compared with the model group,and some inflammatory cells were infiltrated;ELISA results showed that compared with the normal group,the expressions of T-CHO,LPS,IL-6 and TNF-α in the bile of guinea pigs in the model group were significantly increased(P<0.01),while the content of TBA was significantly reduced(P<0.01);compared with the model group,the expression of LPS and IL-6 in the bile of the DHLX group were significantly reduced(P<0.01).The results of 16S rDNA showed that compared with the normal group the Ace index and Chao1 index of the model group were significantly reduced(P<0.01),and the Chao1 index of the DHLX group was significantly higher than that of the model group(P<0.05);biliary flora at the genera level was mainly composed of Burkholderia,Sphingomycetes,Breghamus,Delfortella,Pseudomonas;correlation analysis showed that total cholesterol was negatively correlated with the abundance of Methyloversatilis(P<0.05),and total bile acids were positively corre-lated with the abundance of Burkholderia(P<0.05),and Pseudomonas erythrocytes,Rhizobia,the abundance of Phreatobacter was negatively correlated(P<0.01)and LPS was positively correlated with the abundance of Pseudomonas erythrocytes(P<0.01).Conclu-sion:Biliary microflora disorder exists in the formation of biliary stones,and biliary microflora may participate in the formation of stones by regulating cholesterol,bile acids and LPS.DHLX can regulate the changes in the abundance of the microflora,make the structure of the microflora become normal,reduce the inflammation of the gallbladder,and prevent the formation of gallstones.

Aging is comprehensively influenced by multiple fac-tors such as internal genes,cellular metabolism,external envi-ronment,and lifestyle habits.Among them,epigenetic regula-tion plays a core role.Epigenetic modifications,including DNA methylation,histone modification,heterochromatin remodeling,and non-coding RNA regulation,act in concert with the three-di-mensional genome architecture to precisely regulate gene expres-sion.This review elaborates on the factors influencing epigenetic regulation,as well as the mechanisms of how epigenetics affects the occurrence of organismal aging and the corresponding inter-vention strategies,providing relevant insights for uncovering the mechanisms of aging and preventing/treating aging-related disea-ses.

BACKGROUND:Pathological cardiac hypertrophy is a risk factor for various heart diseases,but its pathogenesis remains unclear.Circular RNAs are strongly associated with cardiac hypertrophy.However,the role of circular RNA CHACR in cardiac hypertrophy and its regulatory mechanisms have not been clarified.OBJECTIVE:To investigate the role of circular RNA CHACR in pressure overload-induced cardiac hypertrophy and the underlying mechanisms.METHODS:(1)Transverse aortic constriction was used to induce cardiac hypertrophy in vivo after in situ injection of cyclic RNA CHACR overexpressing lentivirus into the heart for 1 week.Heart mass/tibia length ratio and lung mass/tibia length ratio were calculated;cardiomyocyte surface area was measured;hypertrophic marker gene expression levels were detected;myocardial fibrosis degree was detected,and cardiac function was assessed.(2)H9c2 cardiomyocytes were treated with circular RNA CHACR overexpressing lentivirus for 72 hours,and then treated with 1 μmol/L angiotensin Ⅱ for 24 hours to induce hypertrophy of cardiomyocytes.The hypertrophy was assessed by measuring the surface area of cardiomyocytes,the expression level of hypertrophic marker genes,and the protein/DNA ratio.Oxidative stress damage was assessed by detecting reactive oxygen species levels and mitochondrial membrane potential.RESULTS AND CONCLUSION:(1)The expression level of circular RNA CHACR was significantly decreased in both in vivo and in vitro myocardial hypertrophy models(P＜0.01).(2)The overexpression of circular RNA CHACR significantly inhibited the cardiac hypertrophy induced by transverse aortic constriction,including reducing the enlarged heart volume,significantly decreasing the increased heart mass/tibia length ratio(P＜0.05),lung mass/tibia length ratio(P＜0.05),and cardiomyocyte surface area(P＜0.05),and decreasing the upregulated expression levels of hypertrophic markers atrial natriuretic peptide(P＜0.05)and brain natriuretic peptide(P＜0.05).(3)Cardiac fibrosis induced by transverse aortic constriction in mice was significantly inhibited by enforcing expression of circular RNA CHACR,as evidenced by reduced fibrotic area(P＜0.01)and decreased expression levels of the fibrosis marker gene Acta1(P＜0.05).(4)Overexpression of circular RNA CHACR significantly improved cardiac function in mice,including significantly increased ejection fraction(P＜0.05)and fractional shortening(P＜0.01).(5)Enforced expression of circular RNA CHACR significantly inhibited angiotensin Ⅱ-induced cardiomyocyte hypertrophy,including a significant reduction in cardiomyocyte surface area(P＜0.05),downregulation of atrial natriuretic peptide(P＜0.05),and brain natriuretic peptide(P＜0.05)expression levels,and a significant decrease in protein/DNA ratio(P＜0.05).(6)Overexpression of circular RNA CHACR significantly inhibited the elevation of reactive oxygen species levels(P＜0.001)and the decrease in mitochondrial membrane potential(P＜0.05)induced by angiotensin Ⅱ.These results confirm that the expression level of circular RNA CHACR is significantly decreased in cardiac hypertrophy at both in vivo and in vitro myocardial hypertrophy models,and overexpression of circular RNA CHACR significantly inhibits cardiac hypertrophy,alleviates cardiac fibrosis,improves cardiac function,and significantly attenuates angiotensin Ⅱ-induced oxidative stress damage.

Objective To investigate the association of endometrial thickness(EMT)with obstetric and neonatal outcomes of monoparous pregnancy in fresh cleavage embryos transfer.Methods A total of 1 845 patients of monoparous pregnancy after fresh cleavage embryos transfer cycles from Jan 2016 to Mar 2022 at Shanghai First Maternity and Infant Hospital,Tongji Universtiy were analyzed retrospectively.Patients were categorized into three groups by EMT on transferation day:≤8 mm(group A),8-14 mm(group B)and≥14 mm(group C).The primary outcomes were preterm birth(PTB),birth weight and birth weight z-score,small-for-gestation age,large-for-gestation age,very low birth weight,low birth weight and macrosomia.The second outcomes were pregnancy and perinatal complications.The relationship between EMT and adverse neonatal outcomes was estimated by Logistic regression analysis.Results The rate of ectopic pregnancy was increased significantly in group A.No significant differences were found among the three groups in gestation age,birth weight,birth weight z-score,PTB,small for gestation age,large for gestation age,low birth weight,very low birth weight and macrosomia.Compared with group B,the odds of adverse neonatal outcomes did not show significant differences before and after adjustment in both group A and group C by Logistic regression analysis.Conclusion Thinner EMT in fresh cleavage embryos transfer is associated with higher rate of ectopic pregnancy,while it is not independently associated with adverse perinatal outcomes.

Objective To develop and validate a machine learning-based predictive model to assess the in-hospital mortality risk of patients with myocardial infarction(MI)complicated by heart failure(HF)undergoing percutaneous coronary intervention(PCI).Methods This retrospective study analyzed MI patients with HF who underwent PCI at The First Affiliated Hospital of Xinjiang Medical University from January 2019 to January 2023.Patient data,including demographic characteristics,vital signs,laboratory test results,imaging parameters and medication use,were collected and randomly divided into a training set(70％)and a validation set(30％).The extreme gradient boosting(XGBoost)model was used to identify variables significantly associated with in-hospital mortality,and the Shapley additive explanations(SHAP)model was applied to assess feature importance.A predictive model was then constructed using univariate and multivariate Logistic regression analyses.Model performance was evaluated using receiver operating characteristic(ROC)curves,area under the curve(AUC)values,calibration curves,and decision curve analysis.Finally,a nomogram was developed for intuitive risk assessment.Results A total of 1 214 MI patients with HF were included in the study,with a median age of 64 years.The in-hospital mortality rate was 7.41％(90 deaths).XGBoost feature selection identified ten key predictive variables:age,myoglobin,albumin,fasting blood glucose,N-terminal pro-B-type natriuretic peptide(NT-proBNP),diabetes mellitus,creatinine,cystatin C,procalcitonin,and left ventricular ejection fraction.Based on these variables,a Logistic regression model was developed,with seven final predictors:age,diabetes mellitus,creatinine,fasting blood glucose,cystatin C,NT-proBNP,and albumin.The model demonstrated high predictive accuracy,with AUC value of 0.869(95％CI:0.84-0.89)in the training set and 0.827(95％CI:0.79-0.85)in the validation set.The calibration curve indicated that the predicted probabilities were consistent with the actual observed outcomes,and decision curve analysis showed that the model had a high net benefit across various decision thresholds.Conclusion This study developed a machine learning-based predictive model incorporating Logistic regression to assess the in-hospital mortality risk of MI patients with HF undergoing PCI.The model demonstrated high predictive performance and clinical utility.The nomogram derived from this model provides an intuitive tool for individualized risk assessment,aiding clinicians in the early identification of high-risk patients,optimizing intervention strategies,and improving patient outcomes.

Objective To construct and validate machine learning-based models to predict the risk of acute kidney injury(AKI)following percutaneous coronary intervention(PCI)in patients with acute ST-segment elevation myocardial infarction(STEMI).Methods A total of 2 315 STEMI patients who underwent PCI between January 2020 and June 2023 were included;306(13.2％)of them developed AKI.Baseline variables were screened using LASSO regression,with the optimal λ value selected via 10-fold cross-validation to identify AKI-associated features.Subsequently,eight distinct machine learning models were constructed and evaluated for their predictive performance.SHAP value analysis was employed to assess the impact of key variables on model predictions.Results LASSO regression identified seven variables significantly associated with AKI,including age,multivessel disease,preoperative creatinine,heart failure,white blood cell count,hemoglobin,and albumin levels.Among all the models,the light gradient boosting machine(LGBM)and extreme gradient boosting(XGB)demonstrated the best predictive performance,with training set AUCs being 0.899(95％CI:0.877-0.921)and 0.893(95％CI:0.868-0.918),and validation set AUCs being 0.809(95％CI:0.763-0.856)and 0.871(95％CI:0.833-0.909),respectively.SHAP analysis revealed that albumin,age,preoperative creatinine,and white blood cell count were the primary contributors to AKI risk.Conclusion This study successfully developed and validated machine learning-based predictive models capable of effectively identifying the risk of AKI following PCI in STEMI patients,thus providing valuable support for clinical decision-making.