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.

Objective:To investigate the current situation and changing trends of coal-burning-borne endemic fluorosis (coal-burning-borne fluorosis) areas in Henan Province, and evaluate the effectiveness of prevention and control measures.Methods:From 2019 to 2021, monitoring was carried out in all villages affected by coal-burning-borne fluorosis in Henan Province. A simple random sampling method was used to select 30 households in each affected village each year to investigate the use of stoves and the formation of related healthy living behaviors. According to the criteria of "Diagnosis of Dental Fluorosis" (WS/T 208-2011), all children aged 8 to 12 in the affected villages were examined for dental fluorosis. The evaluation for control and elimination of the disease areas was carried out in accordance with the "Evaluation Approach for Control and Elimination of Priority Endemic Diseases (2019 Edition)".Results:From 2019 to 2021, a total of 7 472 households were monitored, the rate of qualified improved stoves were all ≥99.80%, the correct use rate of qualified improved stoves and correct drying of corn and pepper were reached 100%. From 2019 to 2021, the prevalence of dental fluorosis in children was 5.38% (237/4 405), 5.18% (232/4 477), and 3.68% (145/3 937), respectively, showing a declining trend (χ 2trend = 12.73, P < 0.001). The prevalence of dental fluorosis among children in affected villages was less than 15%. From 2019 to 2021, all affected villages in coal-burning-borne fluorosis in Henan Province had met the elimination criteria. Conclusion:Coal-burning-borne fluorosis areas in Henan Province have been continuously eliminated, with significant prevention and control effects, and the disease has been effectively controlled.

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.

AIM:This study aims to investigate the role of histone methyltransferase SET and MYND domain containing 2(SMYD2)in facilitating renal fibrosis through the macrophage-myofibroblast transition in diabetic kidney dis-ease(DKD).METHODS:(1)C57BL/6J mice were intraperitoneally administered 55 mg/kg of streptozotocin to induce diabetes mellitus(DM).The experimental groups were categorized as follows:normal control,DM(20 weeks),DM(28 weeks),and DM(36 weeks).Blood glucose(BG),serum creatinine(SCr)and blood urea nitrogen(BUN)levels were determined using a biochemical analyzer.Hematoxylin-eosin(HE)staining and Masson staining were performed to assess morphological and fibrotic changes in renal tissues.Western blot analysis was used to measure the protein levels of SMYD2,histone H3 lysine 4 trimethylation(H3K4me3),arginase-1,matrix metalloproteinase 9(MMP9),collagen type Ⅰ(Col Ⅰ)and α-smooth muscle actin(α-SMA).Immunofluorescence staining was conducted to examine the localization and expression of F4/80,α-SMA,SMYD2,CD86,CD206 and CD163.(2)Mouse monocyte/macrophage RAW264.7 cells were cultured in vitro and assigned to groups as follows:normal glucose(NG)+negative control siRNA(siNC),high glucose(HG)+siNC,NG+SMYD2 siRNA(siSMYD2),and HG+siSMYD2.Western blot analysis was used to assess the expression of relevant proteins.RESULTS:(1)Compared with normal control group,the levels of BG,SCr and BUN were significantly elevated in DM(28 weeks)and DM(36 weeks)groups(P＜0.05).Renal tissue exhibited tubular atro-phy,dilation,and collagen fiber deposition.The levels of H3K4me3,arginase-1,MMP9,Col Ⅰ and α-SMA proteins were up-regulated(P＜0.05).The CD86,CD206,CD163 and F4/80 were primarily localized in the interstitial macrophages of the renal tubules,α-SMA was predominantly detected in the renal interstitium,and SMYD2 was mainly expressed in renal tubular epithelial cells and the renal interstitium.(2)Compared with NG+siNC group,the protein levels of SMYD2,H3K4me3,arginase-1,CD163,Col Ⅰ,α-SMA,transforming growth factor-β1(TGF-β1)and p-Smad3 in the cells of HG+siNC group were significantly increased(P＜0.05).Knockdown of SMYD2 resulted in a reduction of these indicators(P＜0.05).CONCLUSION:The SMYD2 protein appears to facilitate renal fibrosis in DKD by promoting the macrophage-myofibroblast transition,potentially through the modulation of TGF-β1/Smad3 signaling pathway.

ABSTRCT AIM:To verify the effect of polygona-tum polysaccharide(PSP)combined with TGF-β3 in inducing the differentiation of rat tendon-derived stem cells(TDSCs)into chondrocytes by activating the TGF-β3/Smad2 pathway.METHODS:TDSCs were extracted from rat tail tendons using enzyme digestion,purified,passaged,and identified via flow cytometry.TDSCs were treated with different concentrations of PSP,and the optimal growth con-centration was determined using the CCK-8 assay.TDSCs were divided into four groups:PSP,TGF-β3,PSP+TGF-β3,and Control for differentiation induc-tion.Chondrogenic differentiation was evaluated using morphological observations,toluidine blue staining,immunofluorescence staining,and West-ern blot analysis to detect COLⅡ,SOX9,and AGG.Western blot was also used to measure the expres-sion levels of Smad2 and p-Smad2 to evaluate the activation of the TGF-β3/Smad2 pathway after chondrogenic induction.RESULTS:Flow cytometry analysis showed that TDSCs highly expressed CD90 and CD29,while CD11b and CD45 expression was low.The CCK-8 assay indicated that 5 μmol/L PSP was the optimal intervention dose.Toluidine blue staining revealed that the blue staining area in the PSP,PSP+TGF-β3,and TGF-β3 groups was larger compared to the Control group.Immunofluores-cence analysis demonstrated that COLⅡ expression was significantly increased in the PSP,TGF-β3,and PSP+TGF-β3 groups,with the highest expression in the PSP+TGF-β3 group(P＜0.05).Western blot analy-sis showed that the levels of p-Smad2/Smad2,COLⅡ,SOX9,and AGG were elevated in the PSP,TGF-β3,and PSP+TGF-β3 groups,with the highest ex-pression in the PSP+TGF-β3 group(P＜0.05).Compared to the Control group,the TGF-β3 and PSP groups also showed significantly increased expression(P＜0.05).CONCLUSION:PSP promotes the proliferation and chondrogenic differentiation of TDSCs,possibly by activating the TGF-β3/Smad2 pathway.

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.

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.