Objective To investigate the effects of combined exposure to benzene series, dust and noise on occupational high-frequency hearing loss (HFHL) in the electronics manufacturing industry. Methods A total of 740 employees from an electronic manufacturing enterprise were selected as the study subjects. According to the detection of occupational hazard factors, they were divided into noise group, noise benzene group, and noise dust group, with 325, 167, and 248 people, respectively. Occupational health examinations were conducted on the study participants to analyze their HFHL detection status and influencing factors. Results Among all participants (n=740), 456 (61.62%) were male, 284 (38.38%) were female, and 123 (15.62%) were detected with HFHL. The detection rate of HFHL increased with age and length of service (P<0.01). According to the exposure factor grouping, the detection rates of HFHL in the noise group, noise benzene group, and noise dust group were 12.00%, 19.16%, and 20.97%, respectively (P<0.05). Multivariate logistic regression analysis showed that workers aged ≥ 40 years, with 10-20 years of work experience, ≥ 20 years of work experience, exposure to noise and benzene series, and exposure to noise and dust had an increased risk of developing HFHL to 1.734, 1.923, 3.071, 1.706, and 1.527, respectively (P<0.05). Conclusion Combined exposure to noise and benzene series, combined exposure to noise and dust, as well as age and extended length of service may increase the risk of HFHL among workers.

Objective To analyze the lung function condition and the prevalence of pulmonary ventilation disorders in the occupational population of Wuhan, and to explore their influencing factors. Methods Physical examination data from the Wuhan Prevention and Treatment Center for Occupational Diseases were used in this study, and finally 9499 people were selected as the study subjects. The linear regression model and logistic regression model were used to analyze the influencing factors of pulmonary ventilation function and pulmonary dysfunction. The restricted cubic spline was used to explore the nonlinear relationship. Results The prevalence of pulmonary ventilation disorders was 1.7%, and the lung function indexes FVC, FEV1, and FEV1/FVC were significantly lower in the population aged >27 years than in the population aged <27 years (P<0.001). The lung function indexes FVC and FEV1 were significantly lower in females than in males (P<0.001). The lung function indexes FVC and FEV1 were significantly lower in underweight occupational groups than in normal-weight groups (P<0.001), and FVC and FEV1 were significantly lower in dust-exposed occupational groups than in groups without dust exposure(P<0.05). Restricted cubic spline plots showed a nonlinear relationship between age and lung function indexes FVC and FEV1 (P_nonlinear< 0.05). Age and BMI were the risk factors for pulmonary ventilation disorders. Conclusion Age, gender, BMI, and dust exposure are risk factors for decreased FVC and FEV1. Age is the risk factor for decreased FEV1/FVC. Age and BMI are the risk factors for pulmonary ventilation disorders.

Objective:To preliminarily establish a valuable threshold for the college students’ psychological Suzhi questionnaire simplified version (CSPSz-SV) by means of the latent profile analysis and the receiver operating characteristic(ROC) curve.Methods:The CSPSz-SV was applied to investigate 1 870 college freshmen from undergraduate colleges. The identification threshold value of the CSPSz-SV was identified by combining latent profile analysis (LPA) and the ROC curve.Both Mplus 8.3 and R 4.3.1 software were used for the data analysis.Results:Based on LPA results, the college freshmen were divided into three categories according to the levels of psychological Suzhi: the low psychological Suzhi group, the medium psychological Suzhi group, and the high psychological Suzhi group.Following the LPA, the ROC analysis was conducted to obtain the optimal critical value (91) of the psychological Suzhi level for college freshmen (Youden's index was 0.934, sensitivity was 0.979, specificity was 0.955, positive predictive value was 0.855, negative predictive value was 0.994, accuracy was 0.960, and AUC was 0.991, respectively). College freshmen were divided into the abnormal psychological Suzhi group and the normal psychological Suzhi group in accordance with this critical value, and the difference between the two groups was statistically significant (Cohen's d=1.74-2.18, P<0.001). Conclusion:The threshold value established and obtained in this study can be reviewed as a reference for evaluating the psychological Suzhi level of college freshmen.

Objective To explore the application value of MR MAGiC sequence reconstructed based on deep learning reconstruction(DLR)for localizing epileptogenic focus of intractable epilepsy.Methods Fifty intractable epilepsy patients(epilepsy group)and 20 healthy controls(control group)were retrospectively collected.Brain MR MAGiC sequence was scanned,then traditional reconstruction(inverse Fourier transform)and DLR algorithm were performed to obtain MAGiC and MAGiC DLR images,respectively.The corresponding quantitative parameter maps were generated after post-processing,including T1 mapping,T2 mapping and proton density(PD)mapping.The subjective scores of noise,artifacts,structural clarity and overall quality were compared between two kinds of quantitative parameter images.The asymmetry index(AI)of quantitative parameters(T1,T2 and PD values)between the affected side and the contralateral side in epilepsy group,the contralateral side or the suspected epileptogenic focus in epilepsy group and HC group were calculated.Then epileptogenic focus were localized based on performance of MAGiC and MAGiC DLR corresponding quantitative parameter maps combining obtained AI of quantitative parameter values.According to surgical results,follow-up review,electroencephalogram or PET results,the accuracy of MAGiC and MAGiC DLR images for localizing epileptogenic focus was calculated.Results Compared with MAGiC quantitative parametric maps,noise of MAGiC DLR quantitative parametric maps reduced,while subjective scores of structure clarity and overall quality improved(all P＜0.05).The accuracy of MAGiC and MAGiC DLR images for localizing epileptogenic focus was 82.00％(41/50)and 88.00％(44/50),respectively.Conclusion MR MAGiC sequence based on DLR was beneficial for improving accuracy of localizing epileptogenic focus in intractable epilepsy.

Metastasis is the leading cause of death from cutaneous melanoma. Identifying metastasis-related targets and developing corresponding therapeutic strategies are major areas of focus. While functional genomics strategies provide powerful tools for target discovery, investigations at the protein level can directly decode the bioactive epitopes on functional proteins. Aptamers present a promising avenue as they can explore membrane proteomes and have the potential to interfere with cell function. Herein, we developed a target and epitope discovery platform, termed functional aptamer evolution-enabled target identification (FAETI), by integrating affinity aptamer acquisition with phenotype screening and target protein identification. Utilizing the aptamer XH3C, which was screened for its migration-inhibitory function, we identified the Chondroitin Sulfate Proteoglycan 4 (CSPG4), as a potential target involved in melanoma migration. Further evidence demonstrated that XH3C induces cytoskeletal rearrangement by blocking the interaction between the bioactive epitope of CSPG4 and integrin α4. Taken together, our study demonstrates the robustness of aptamer-based molecular tools for target and epitope discovery. Additionally, XH3C is an affinity and functional molecule that selectively binds to a unique epitope on CSPG4, enabling the development of innovative therapeutic strategies.

Objective:To analyze the clinical value of translocator protein (TSPO, 18kDa) radiotracer 18F- N, N-diethyl-2-(2-(4-(2-fluoroethoxy)-phenyl)-5, 7-dimethyl-pyrazolo[1, 5-a]pyrimidin-3-yl)-acetamide (DPA-714) PET/MR imaging for precise localization of epileptogenic zone in patients with drug-resistant epilepsy. Methods:From December 2022 to October 2023, 24 refractory epilepsy patients (12 males and 12 females, age (27.5±8.1) years) who underwent surgery in Xuanwu Hospital, Capital Medical University were retrospectively enrolled. All patients received hybrid 18F-DPA-714 PET/MR before surgery, with the surgical resection site and stereoelectroencephalography recordings of the seizure focus serving as the gold standard. Initial qualitative analysis of the images was performed, followed by semi-quantitative analysis using the ROI method to calculate the asymmetry index (AI) of the proposed epileptogenic zone, assessing the degree of increased abnormal uptake (area with AI>10% was considered as the epileptogenic zone). Follow-up assessment using the Engel classification was conducted at least one year postoperatively. Differences of lesion detection efficiency of conventional MRI and PET/MR were evaluated using McNemar test. Results:Among 24 enrolled patients, 13 cases (54.2%) showed positive findings on conventional MRI, while 21 cases (87.5%) exhibited single or multiple foci of abnormally increased tracer uptake on PET/MR imaging, indicating an improved lesion detection rate ( χ2=4.90, P=0.021). Of the MRI-positive patients, 12/13 also had positive findings on PET/MR, with a localization accuracy of 10/13. Among the MRI-negative patients, 9/11 showed positive PET/MR findings, with a localization accuracy of 6/11. At one year post-surgery, 75.0%(18/24) of patients had a favorable outcome (Engel Ⅰ). Conclusion:18F-DPA-714 PET/MR imaging can accurately locate epileptogenic foci, especially for MRI-negative lesions, providing reliable information for surgical planning to improve postoperative outcomes.

Glioma is an intracranial tumor with high malignancy and significant heterogeneity.In the treatment,glioma is mainly based on surgery,supplemented by radiotherapy and chemotherapy,its treatment plan and decision-making are closely related to its heterogeneity.MRI habitat analysis is a non-invasive examination method.Its principle is to convert the MRI image information of tumors into mineable feature data and extract them quantitatively,so as to realize the quantitative characterization of the temporal and spatial heterogeneity of tumors,reflect the occurrence and progression of tumors,and reveal the biological differences in pathophysiology and molecular typing within tumors,which is conducive to the customization of individualized treatment plans for patients.At present,habitat analysis has made great progress in predicting tumor classification,evaluating the prognosis of glioma,identifying tumor response after treatment and tumor recurrence,and has shown great potential in promoting molecular diagnosis,individualized immunotherapy and chemotherapy in precision medicine.In this paper,the application of habitat analysis technology in glioma research is reviewed and analyzed.

Objective:To preliminarily establish a valuable threshold for the college students’ psychological Suzhi questionnaire simplified version (CSPSz-SV) by means of the latent profile analysis and the receiver operating characteristic(ROC) curve.Methods:The CSPSz-SV was applied to investigate 1 870 college freshmen from undergraduate colleges. The identification threshold value of the CSPSz-SV was identified by combining latent profile analysis (LPA) and the ROC curve.Both Mplus 8.3 and R 4.3.1 software were used for the data analysis.Results:Based on LPA results, the college freshmen were divided into three categories according to the levels of psychological Suzhi: the low psychological Suzhi group, the medium psychological Suzhi group, and the high psychological Suzhi group.Following the LPA, the ROC analysis was conducted to obtain the optimal critical value (91) of the psychological Suzhi level for college freshmen (Youden's index was 0.934, sensitivity was 0.979, specificity was 0.955, positive predictive value was 0.855, negative predictive value was 0.994, accuracy was 0.960, and AUC was 0.991, respectively). College freshmen were divided into the abnormal psychological Suzhi group and the normal psychological Suzhi group in accordance with this critical value, and the difference between the two groups was statistically significant (Cohen's d=1.74-2.18, P<0.001). Conclusion:The threshold value established and obtained in this study can be reviewed as a reference for evaluating the psychological Suzhi level of college freshmen.

Objective:To explore the effects of workload factors and social psychological factors on work-related musculoskeletal disorders (WMSDs) , construct a preventive decision-assisted ensemble learning model, and propose screening methods with clinical significance.Methods:In October 2022, 1071 workers from optoelectronic enterprises were selected as the research subjects by cluster sampling method. The general situation of workers, workload factors, social psychological factors and the occurrence of WMSDs were collected by using questionnaires. logistic regression, Extreme Gradient Boosting (XGBoost) , ensemble learning and classification chain model were adopted to explore the key factors influencing WMSDs, and the area under curve (AUC) was used to evaluate the model performance.Results:The incidence of WMSDs among workers in optoelectronic enterprises in the past year was 47.7% (511/1071) , among which the incidence of multi-site WMSDs was 54.4% (278/511) . logistic regression analysis showed that prolonged sitting, personnel shortage and forward neck tilt were risk factors for the occurrence of WMSDs in workers ( P<0.05) . XGBoost identified the key social psychological factors influencing WMSDs as low mood, mental tension, perceived happiness level, psychological calmness and tranquility. The integrated classification chain model based on the ordered label order had certain efficacy (AUC>0.7) when analyzing WMSDs at the neck, waist, shoulder, back, elbow and hip positions. Conclusion:Workload factors are the main risk factors for the occurrence of WMSDs among workers in optoelectronic enterprises, and social psychological factors also have potential influences. The construction of a classification chain model can accurately identify the occurrence of WMSDs in multiple parts. The alternating prevention strategy of workload factors and social psychological factors has important public health significance.

Objective To investigate the effects of miR-1 on the proliferation,migration and invasion of esophageal squamous cell carcinoma.Methods miR-1 mimics,inhibitors and their corresponding controls were transfected into ESCC cells ECa109 and KYSE410.The efficiency of cell transfection was validated by SYBR-green quantitative PCR.The proliferation,migration and invasion ability of ESCC cells were assessed by MTT,foci formation,wound healing and Matrigel invasion assays,respectively.Statistical analysis was carried out using SPSS 22.0software for Windows.Results Overexpression of miR-1 markedly inhibited the cell growth rate and the colony-forming ability of the ESCC cells.While,downregulation of miR-1 promoted the cell growth rate and foci formation(P＜0.05).And upregulation or downregulation of miR-1 significantly suppressed or promoted tumor cell invasion and migration(P＜0.05).Conclu-sion miR-1 inhibited ESCC cell proliferation,invasion and migration,suggesting that miR-1 functions as a tumor suppressor in the tumorigenesis and progression of ESCC and may be a potential therapeutic target.