ObjectiveTo study the regulatory effect of the partial sequence within the 3’ untranslated region （3’UTR） of slit guidance ligand 1 （Slit1） （Slit1-3’UTR） on the fibrotic phenotypes of cardiac fibroblasts （CFs） and its potential mechanism. MethodsThe adenovirus vector was used to overexpress the 1526nt sequence of Slit1-3’UTR in ICR neonatal mouse CFs （mCFs）. The expression of fibrosis-related genes in mCFs， such as collagen type 1 alpha1（COL1A1）， collagen type 3 alpha3 （COL3A1） and alpha smooth muscle actin （α-SMA） were detected by Western blot assay. The effect of Slit1-3’UTR 1526nt on the proliferation and migration of mCFs was assessed by EdU staining and Trans-well assays. Angiotensin Ⅱ （Ang Ⅱ） was used to treat mCFs， and the impact of Slit1-3’UTR 1526nt on the fibrotic phenotypes of Ang Ⅱ-induced mCFs was evaluated. After overexpression of Slit1-3’UTR 1526nt， miR-34a-5p mimic was transfected into mCFs， followed by actinomycin D treatment to detect the mRNA stability of Slit1-3’UTR 1526nt， and the levels of miR-34a-5p and its target gene SIRT1（si-SIRT1） in mCFs were determined. The effects of miR-34a-5p and small interfering RNA targeting SIRT1 on the Slit1-3’UTR 1526nt-mediated regulation of fibrotic phenotypes were also determined. ResultsAdenovirus-mediated overexpression of Slit 1-3’UTR 1526nt was achieved in mCFs. Overexpression of Slit 1-3’UTR 1526nt markedly inhibited the expression of the fibrosis-related genes， proliferation and migration of mCFs and fibrotic phenotypes of Ang Ⅱ. The results of actinomycin D assay showed that miR-34a-5p inhibited the stability of Slit1-3’UTR 1526nt in mCFs， while the level of miR-34a-5p was reduced in mCFs with overexpression of Slit1-3’UTR 1526nt. Transfection of miR-34a-5p promoted the fibrotic phenotypes， and reversed the inhibitory effect of Slit1-3’UTR 1526nt on the fibrotic phenotypes of mCFs. Overexpression of Slit1-3’UTR 1526nt significantly increased the level of miR-34a-5p target gene SIRT1 in mCFs. Transfection of miR-34a-5p and si-SIRT1 consistently reversed the inhibitory effects of Slit1-3’UTR 1526nt on the fibrotic phenotypes of mCFs. ConclusionSlit1-3’UTR1526nt inhibits the fibrotic phenotypes of mCFs by binding to miR-34a-5p and increasing the expression of its target gene of SIRT1.

Objective To design a high altitude adaptive oxygen generator for the crews to alleviate their high altitude reaction in high altitude environment and meet their requirements for oxygen supply.Methods A high altitude adaptive oxygen generator based on the mature pressure swing adsorption oxygen production method was designed with the key technologies of discharge capacity compensation of air compression pump and airway fusion of molecular sieve tower,which had the components of molecular sieve tower,air compression pump,controller,cooling fan,cooler,solenoid valve,regulator,flow meter and etc.Trials were carried out at the simulated altitude and field plateau environment so as to verify the high altitude adaptive performance of the oxygen generator developed.Results The trial results showed the oxygen generator met the desired objectives and the requirements for oxygen volume fraction in GJB 2799-1996 General specification for medical oxygen generator using molecular sieve method.Conclusion The oxygen generartor provides oxygen supply effectively for vehicle operators in plateau environments or the ones rushing into the plateau.[Chinese Medical Equipment Journal,2025,46(4):29-34]

This study analyzed the epidemiological characteristics of imported malaria in Yunnan Province from 2020 to 2023,to provide scientific evidence for formulating measures to decrease imported malaria and prevent re-establishment of malaria transmission.Malaria data reported by the China Disease Prevention and Control Information System were analyzed to determine parasite species;sources of infection;temporal,spatial,and population distributions;and importation routes.A total of 828 malaria cases were reported in the province.Plasmodium vivax and Plasmodium falciparum accounted for 89.98％and 8.33％of cases,respectively.A total of 47.58％of cases were imported from Myanmar,and all P.falciparum malaria ca-ses were from Africa.Thirteen(81.25％)prefectures or municipalities reported malaria,among which Dehong,Baoshan,Kunming,and Lincang reported 94.32％of cases.A total of 52.54％of cases were in young men.The proportion of cross-bor-der personnel flow,land input,and aircraft input were 88.89％and 11.11％respectively.A total of 98.19％of patients sought medical care within 7 days after fever onset,and 82.85％initiated diagnosis for malaria,and 84.90％of diagnoses were con-firmed by health facilities at or below the county level.Imported malaria is a major challenge in preventing re-establishment of transmission in Yunnan.Most imported cases involved cross-border malaria transmission of mainly Plasmodium vivax between China and Myanmar.To achieve malaria elimination,vigilance of health staff in malaria diagnosis and treatment should be pro-moted,and intensive malaria health education should be provided to people traveling to malaria endemic territories,to enable individual protection,and timely diagnosis and treatment after return from endemic countries.

Objective To evaluate the safety and therapeutic efficacy of three-dimensional(3D)-printed personalized cervical correction pillows for treating cervical spondylotic radiculopathy.Methods A finite element model was established to simulate and analyze the biomechanical changes in cervical spine before and after using the pillow.Additionally,20 patients with chronic neck pain were included to analyze changes in visual analogue scale(VAS)scores,neck disability index(NDI),pressure pain threshold(PPT),Borden value,cervical lordosis,T1 slope,cervical slope,and thoracic inlet angle before and after using the pillow.Results Finite element analysis indicated that the maximum stress on vertebral bodies increased by 64.35％and the maximum stress on cartilage tissues by 5.09％after using the pillow.The Borden value improved by 45.75％.Clinical studies showed a significant reduction in VAS scores,NDI,and PPT after treatment(P＜0.05),while PPT,Borden value,cervical lordosis,T1 slope,and thoracic inlet angle significantly increased(P＜0.05).Conclusions The 3D-printed personalized cervical correction pillow is safe and effective in alleviating neck pain and improving cervical curvature,and it provides a new and effective non-surgical treatment option for cervical spondylotic radiculopathy,with significant clinical implications.

Pulmonary hypertension (PH) is a group of progressive diseases characterized by pulmonary vascular remodeling,and some patients already have right heart insufficiency at the time of diagnosis. Therefore,early diagnosis of PH is essential to improve patients' quality of life and prolong survival. Biomarkers are an important indicator for early diagnosis of the disease,and there are many traditional biomarkers for PH diagnosis,but the sensitivity and specificity are low. With the progress of research,some new biomarkers have been shown to predict disease progression in early PH and play an important role in the early diagnosis of PH. This study reviews the research progress of biomarkers of PH from the aspects of right heart insufficiency,endothelial dysfunction,pulmonary artery smooth muscle dysfunction,inflammation,and in situ thrombosis to provide exploration direction and reference value for early diagnosis of PH.

Objective·To evaluate the feasibility and diagnostic performance of diffusion-relaxation correlation spectroscopic imaging(DR-CSI)in assessing the heterogeneity of benign and malignant head and neck tumors,as well as in identifying occult lymph node metastasis(OLNM).Methods·A prospective study was conducted from January to December 2024 at Shanghai Ninth People's Hospital,Shanghai Jiao Tong University School of Medicine,enrolling patients with suspected head and neck tumors who were scheduled for surgery and had a confirmed pathological diagnosis.All patients underwent preoperative routine head and neck plain and contrast-enhanced magnetic resonance imaging(MRI)examinations,including DR-CSI sequence.Conventional imaging parameters,including maximal diameter(MD),depth of invasion(DOI)for tumors,and MD and short diameter(SD)for lymph nodes,were obtained.Post-processing was performed to obtain apparent diffusion coefficient(ADC),T2 value,and D-T2 spectra for all lesions.The compartment segmentation strategy was optimized based on the spectral peak distribution characteristics of different diseases,and the volume fraction(Vi)of each compartment was obtained.Independent sample t-tests,Mann-Whitney U tests,chi-square tests,or Fisher's exact tests were used to compare intergroup differences in clinical data and imaging metrics.Principal component analysis(PCA)and Adonis analysis were employed to evaluate the discriminative ability of imaging metrics among different subtypes of benign tumors.Receiver operating characteristic(ROC)analysis was used to evaluate the ability of univariate and multivariable models to characterize the malignancy of head and neck squamous cell carcinoma(HNSCC)and identify OLNM.Results·A total of 97 cases were collected,including 28 benign tumors and 69 HNSCCs.Fifteen pathologically confirmed OLNMs and 20 benign lymph nodes(BLNs)were also enrolled.Among the 28 benign tumors,there were 6 cases of pleomorphic adenoma stroma-rich(PA stroma-rich),9 cases of pleomorphic adenoma stroma-poor(PA stroma-poor),9 cases of Warthin's tumor(WT),and 4 cases of basal cell adenoma(BCA).Statistically significant differences were observed in certain imaging parameters(ADC,T2,and DR-CSI Vi)among benign tumor subtypes.PCA analysis demonstrated a strong discriminative ability of imaging parameters in distinguishing pathological subtypes of benign tumors(R2=0.64,P<0.001).Among the 69 HNSCCs,47 were classified as Grade 1(well/moderately well-differentiated)and 22 as Grade 2(moderately/poorly differentiated).Compared to Grade 1,Grade 2 showed lower ADC and higher T2 values,though differences were not statistically significant.As HNSCC malignancy increased,VA4 decreased and VB4 increased significantly.OLNM showed a significant increase in SD and VA4 compared to BLNs.The combination of SD and VA4 for preoperative OLNM identification achieved a diagnostic efficiency of 0.843.Conclusion·DR-CSI can analyze diffusion and relaxation characteristics at the sub-voxel level,offering valuable insights for characterizing benign head and neck tumor subtypes,assessing HNSCC malignancy,and identifying OLNMs.Compared to traditional parameters like ADC or T2,DR-CSI provides enhanced tissue microstructure analysis.

Objective A Cobb angle prediction model for adolescent idiopathic scoliosis(AIS)based on three-point mechanical data from three-dimensional(3D)-printed orthotics and various machine learning algorithms was developed,so as to provide an innovative,radiation-free method for early clinical screening and monitoring of AIS.Methods Clinical data from AIS patients and mechanical data from 3D-printed orthotics were collected to construct a comprehensive dataset with features such as gender,age,disease type,weight,and Risser score.Six algorithms,namely,random forest,support vector regression,gradient boosting regressor,extreme gradient boosting,lightgbm,and catboost,were used to construct and evaluate the performance of Cobb angle prediction models.Results The gradient boosting regressor model had the best performance on several evaluation metrics,achieving a precision rate of 0.937,recall rate of 0.818,F1-score of 0.949,and an area under curve(AUC)value of 0.843.In the validation set,the model's predictions reached an accuracy rate of 0.942,fitting well with the actual Cobb values.Conclusions The Cobb angle prediction model based on mechanical data and machine learning effectively avoids the radiation risks associated with traditional full-spine X-ray examinations in early clinical screening.It provides a non-invasive assessment for AIS patients,enhancing the safety and efficiency of screening and monitoring,and offering a powerful decision-making tool for clinicians,with a great clinical significance.

Objective:To investigate the changes in N100, P300, and N400 of event-related potential(ERP) in children with obstructive sleep apnea (OSA), and provide the basis for evaluating cognitive and neurological impairment in pediatric OSA.Methods:Totally 108 children aged 5-10 years who visited the Sleep Center of Beijing Children's Hospital due to snoring or mouth breathing were recruited from June to September, 2023, and ultimately 90 children were included in the study.According to the obstructive sleep apnea hypopnea index (OAHI) in their polysomnography (PSG) results, children with OAHI>1 time/h were classified as OSA group ( n=74), and children with OAHI ≤ 1 time/h were classified as non-OSA group ( n=16).All participants completed the auditory oddball and Peabody image vocabulary test tasks, and the EEG data collected through ERP technology were compared between the two groups.SPSS 26.0 software was used for statistical analysis, and independent samples t-test or non parametric test was used for comparison between the two groups. Results:The P300 latency of OSA children in lead Fz was significantly longer than that of non OSA children (330.00(308.00, 396.00) ms, 309.00(294.50, 337.50)ms), and the difference was statistically significant ( Z=-2.143, P=0.032). The latency of P300 was positively correlated with apnea hypopnea index(AHI)(Fz lead: r=0.332, Cz lead: r=0.239, Pz lead: r=0.213, all P<0.05). There was no statistically significant difference in P300 latency between Cz and Pz leads ( Z=-1.615, P=0.106; Z=-1.055, P=0.291). There was no statistically significant difference in the amplitude of P300 among the leads (all P>0.05). There was no statistically significant difference in the amplitude and latency of N100 and N400 (both P>0.05). Conclusion:The latency of P300 in OSA children is significantly longer than that in non-OSA children, indicating impaired cognitive function. The latency of auditory P300 might serve as an early neuroelectrophysiological biomarker for identifying cognitive impairment in OSA children.

Objective A Cobb angle prediction model for adolescent idiopathic scoliosis(AIS)based on three-point mechanical data from three-dimensional(3D)-printed orthotics and various machine learning algorithms was developed,so as to provide an innovative,radiation-free method for early clinical screening and monitoring of AIS.Methods Clinical data from AIS patients and mechanical data from 3D-printed orthotics were collected to construct a comprehensive dataset with features such as gender,age,disease type,weight,and Risser score.Six algorithms,namely,random forest,support vector regression,gradient boosting regressor,extreme gradient boosting,lightgbm,and catboost,were used to construct and evaluate the performance of Cobb angle prediction models.Results The gradient boosting regressor model had the best performance on several evaluation metrics,achieving a precision rate of 0.937,recall rate of 0.818,F1-score of 0.949,and an area under curve(AUC)value of 0.843.In the validation set,the model's predictions reached an accuracy rate of 0.942,fitting well with the actual Cobb values.Conclusions The Cobb angle prediction model based on mechanical data and machine learning effectively avoids the radiation risks associated with traditional full-spine X-ray examinations in early clinical screening.It provides a non-invasive assessment for AIS patients,enhancing the safety and efficiency of screening and monitoring,and offering a powerful decision-making tool for clinicians,with a great clinical significance.

This study was aimed at identifying the pathogenic bacteria responsible for the death of a young tiger at the Fujian Meihua Mountain South China Tiger Breeding Research Institute.Tissue samples from the lungs,liver,and intestines of the deceased tiger were collected,and the bacteria were cultured inasterile environment.The bacterial strains were characterized according to their morphological and molecular biological properties,including assessment of virulence genes and antibiotic resistance genes,mouse lethality tests,and antibiotic susceptibility evaluations.A predominant bacterial strain isolated from the liver of the deceased tiger was identified as enterotoxigenic Escherichia coli(ETEC)strain Tiger22513F.Phylogenetic analysis of the 16S rRNA gene revealed that the Tiger22513F strain exhibited close genetic similarity to the reference strain ETEC(MF919609.1),with 99.9%nucleotide similarity,and resided on the same evolutionary branch.The Tiger22513F strain contained 11 antibiotic resistance genes(tetA,sul1,sul3,cmlA,floR,blaTEM,blaSHV,blaCMY-2,qnrA,qnrS,and qnrD)along with five virulence genes(VT1,fyuA,tsh,iucD,and ST).Mouse lethality tests indicated significant pathogenicity toward mice,affecting primarily the lungs,liver,and intestines.Antibiotic susceptibility testing demonstrated that this strain exhibited resistance to various classes of beta-lactam antibiotics,as well as quinolones and aminoglycosides.This investigation successfully isolated a multi-drug resistant enterotoxigenic Escherichia coli strain with pronounced pathogenicity from the liver of a deceased tiger;thus providing valuable scientific insights for clinical diagnosis,as well as prevention and control measures,against ETEC infections in South China tigers.