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.

Esophageal cancer(EC)is most commonly diagnosed in our country as an advanced esophageal cancer.With the continuous exploration and innovation of treatment methods,the comprehensive treatment scheme based on surgery is gradually improved.Immunotherapy is a new way to treat tumors in recent years.How to make better use of it in neoadjuvant therapy to create a better prognosis for EC is worth discussing.

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.

Osteoporosis is a prevalent skeletal condition characterized by reduced bone mass and strength, leading to increased fragility. Buqi-Tongluo (BQTL) decoction, a traditional Chinese medicine (TCM) prescription, has yet to be fully evaluated for its potential in treating bone diseases such as osteoporosis. To investigate the mechanism by which BQTL decoction inhibits osteoclast differentiation in vitro and validate these findings through in vivo experiments. We employed MTS assays to assess the potential proliferative or toxic effects of BQTL on bone marrow macrophages (BMMs) at various concentrations. TRAcP experiments were conducted to examine BQTL's impact on osteoclast differentiation. RT-PCR and Western blot analyses were utilized to evaluate the relative expression levels of osteoclast-specific genes and proteins under BQTL stimulation. Finally, in vivo experiments were performed using an osteoporosis model to further validate the in vitro findings. This study revealed that BQTL suppressed receptor activator of NF-κB ligand (RANKL)-induced osteoclastogenesis and osteoclast resorption activity in vitro in a dose-dependent manner without observable cytotoxicity. The inhibitory effects of BQTL on osteoclast formation and function were attributed to the downregulation of NFATc1 and c-fos activity, primarily through attenuation of the MAPK, NF-κB, and Calcineurin signaling pathways. BQTL's inhibitory capacity was further examined in vivo using an ovariectomized (OVX) rat model, demonstrating a strong protective effect against bone loss. BQTL may serve as an effective therapeutic TCM for the treatment of postmenopausal osteoporosis and the alleviation of bone loss induced by estrogen deficiency and related conditions.
Animals ; NFATC Transcription Factors/genetics* ; Drugs, Chinese Herbal/pharmacology* ; Ovariectomy ; Osteoclasts/metabolism* ; Female ; Osteogenesis/drug effects* ; Rats, Sprague-Dawley ; Rats ; NF-kappa B/genetics* ; Osteoporosis/genetics* ; Signal Transduction/drug effects* ; Bone Resorption/genetics* ; Cell Differentiation/drug effects* ; Humans ; RANK Ligand/metabolism* ; Mitogen-Activated Protein Kinases/genetics* ; Transcription Factors

INTRODUCTION: The diagnosis of sarcopenia relies on key indicators such as handgrip strength, walking speed and muscle mass. Developing a composite index that integrates these measures could enhance clinical evaluation in older adults. This study aimed to standardise and combine these metrics to establish a z score for the sarcopenia composite index (ZoSCI) tailored for the ageing population. Additionally, we explore the risk factors associated with ZoSCI to provide insights into early prevention and intervention strategies. METHOD: This retrospective study analysed data between January 2017 and December 2021 from an elderly health programme in Taiwan, applying the Asian Working Group for Sarcopenia criteria to assess sarcopenia. ZoSCI was developed by standardising handgrip strength, walking speed and muscle mass into z scores and integrating them into a composite index. Receiver operating characteristic (ROC) curve analysis was used to determine optimal cut-off values, and multiple regression analysis identified factors influencing ZoSCI. RESULTS: Among the 5047 participants, the prevalence of sarcopenia was 3.7%, lower than the reported global prevalence of 3.9-15.4%. ROC curve analysis established optimal cut-off points for distinguishing sarcopenia in ZoSCI: -1.85 (sensitivity 0.91, specificity 0.88) for males and -1.97 (sensitivity 0.93, specificity 0.88) for females. Factors associated with lower ZoSCI included advanced age, lower education levels, reduced exercise frequency, lower body mass index and creatinine levels. CONCLUSION This study introduces ZoSCI, a new compo-site quantitative indicator for identifying sarcopenia in older adults. The findings highlight specific risk factors that can inform early intervention. Future studies should validate ZoSCI globally, with international collaborations to ensure broader applicability.
Humans ; Sarcopenia/physiopathology* ; Male ; Aged ; Female ; Retrospective Studies ; Hand Strength ; Taiwan/epidemiology* ; ROC Curve ; Aged, 80 and over ; Risk Factors ; Walking Speed ; Geriatric Assessment/methods* ; Prevalence ; Muscle, Skeletal ; Middle Aged

Objective To assess the impact of freeze-drying and dry heat virus inactivation processes on the activity ofα2-macroglobulin(A2M)derived from human plasma Cohn fraction Ⅳ.Methods A2M derived from human plasma Cohn fraction Ⅳ was prepared and subjected to programmed freeze-drying with dry heat virus inactivation.The lyophilized products were evaluated for their appearance,water content,and validation of the viral inactivation process.The bioactivity of the products before and after lyophilization as well as before and after dry heat inactivation was determined via trypsin inhibition,and the comparisons were studied.Results The appearance of the lyophilized product was fluffy,and the water content was(5.83±0.45)％.The specific activities of the samples before and after lyophilization were(10.199±0.137)and(10.033±0.201)μg/mg,respectively,with no statistically significantdifference between the two groups(P＞0.05).The viral inactivation of the samples was carried out by using dry heat inactivation conditions at 100 ℃ for 30 min.After inactivation,the reduction was ≥5.125 LgTCID50/0.1 mL in Pseudorabies virus(PRV)titers,≥4.500 LgTCID50/0.1 mL in Sindbis virus(SinV)titers,≥6.375 LgTCID50/0.1 mL in encephalomyocarditis virus(EMCV)titers,and≥4.500 LgTCID50/0.1 mL in porcine parvovirus(PPV)titers.The specific activities of the samples before and after dry heat were(9.921±0.292)and(10.091±0.278)μ g/mg,respectively,with no statistically significant difference between the two groups.Conclusion A2M derived from human plasma Cohn fraction Ⅳ,when subjected to freeze-drying followed by dry heat inactivation at 100 ℃ for 30 minutes,can effectively inactivate viruses without altering the biological activity of the product.

OBJECTIVE: To assess the association of single nucleotide polymorphisms (SNP) of the cell division cycle 42 (CDC42) gene with Pulmonary artery systolic pressure (PASP) among patients with Congenital heart disease (CHD). METHODS: In this observational study, clinical data and blood samples were collected from 579 CHD patients with left-to-right shunt who presented to our hospital between January 2012 and January 2017. SNPs of the CDC42 gene were genotyped using an improved multiple ligase detection reaction. Multiple linear regression was applied to evaluate the association of CDC42 gene variants with PASP. This study was approved by the Medical Ethics Committee of the First Affiliated Hospital of Xinjiang Medical University (Ethics No.: 20180222-102). RESULTS: Polymorphisms at rs2501256 and rs34896897 of the CDC42 gene were significantly associated with PASP. Compared with the CC genotype at rs2501256, TT and CT carriers displayed higher PASP [TT vs. CC: B (95%CI) = 4.01 (1.95, 6.07), P < 0.001; CT vs. CC: B (95%CI) = 2.91 (0.63, 5.19), P < 0.001]. Similarly, GG and GA genotypes at rs34896897 were associated with higher PASP compared to the AA genotype [GG vs. AA: B (95%CI) = 26.15 (20.45, 31.84), P < 0.001; GA vs. AA: B (95%CI) = 7.19 (4.31, 10.08), P < 0.001]. Genetic model analyses demonstrated significant differences for both rs2501256 and rs34896897 under dominant, additive, and recessive models (P < 0.05). TT carriers at rs2501256 exhibited larger left-and right-atrial diameters, whereas GG carriers at rs34896897 showed greater right-atrial and right-ventricular end-diastolic dimensions. Subgroup analyses revealed no association between rs2501256 and PASP in males, individuals younger than 18 years, Uyghur ethnicity, or those with ventricular septal defects. CONCLUSION CHD patients carrying the minor alleles of rs2501256 and rs34896897 in the CDC42 gene present higher incidence of PASP compared to those carrying the common alleles.
Humans ; Male ; Female ; Heart Defects, Congenital/physiopathology* ; Polymorphism, Single Nucleotide ; cdc42 GTP-Binding Protein/genetics* ; Adult ; Child ; Genotype ; Adolescent ; Child, Preschool ; Genetic Predisposition to Disease ; Pulmonary Artery/physiopathology*

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.