[Objective]To investigate the presence of SARS-CoV-2 RNA in semen after COVID-19 infection in vaccinated individuals and to evaluate the impact of different recovery stages on sperm quality.[Methods]From January to March 2023,vaccinated male patients with recent SARS-CoV-2 infections confirmed by throat swabs were recruited from the Reproductive Medicine Center at the First Affiliated Hospital of Anhui Medical University.Semen samples were analyzed with RT-qPCR to detect SARS-CoV-2 RNA.A retrospective analysis assessed sperm quality across recovery stages,comparing patients within 30 days of recovery to those with 30 days or more.Semen parameters evaluated included volume,total sperm count,forward motility percentage,abnormal morphology rate,and sperm DNA fragmentation index.In addition,a longitudinal self-comparison was performed to examine changes in semen quality before and after recovery(＜30 days and≥30 days).[Results]SARS-CoV-2 RNA was undetectable in the semen of all 205 patients.Neither cross-sectional comparisons nor longitudinal analyses showed significant differences in semen volume,sperm concentration,total sperm count,sperm morphology rate,sperm DNA fragmentation index,or high DNA stainability between recovery stages or compared to pre-infection values(P＞0.05).However,forward motility percentage markedly decreased during recovery,with statistical significant between groups(P＜0.05).[Conclusions]In vaccinated individuals who contracted COVID-19,SARS-CoV-2 was not transmitted through semen.Although the incidence of asthenozoospermia may increase within 30 days post-infection,this effect appears reversible in the short time.

Objective:To develop PixelSIFT-UNet, a novel semantic segmentation model that integrates deep learning with scale-invariant feature transform (SIFT) algorithm to improve the segmentation accuracy of oral mucosal lesions.Methods:This investigation utilized 838 standard clinical white light images of oral mucosal diseases acquired from January 2020 to December 2022 at the Stomatology Hospital Zhejiang University School of Medicine. Randomization was achieved through Python′s random.seed function implementation. The random sample function was subsequently applied for sampling distribution. The dataset was stratified into three subsets with a 6∶2∶2 ratio: training ( n=506), validation ( n=166), and testing ( n=166). Lesion boundaries were annotated using Labelme software, and a PixelSIFT-UNet-based deep learning model was developed with VGG-16 and ResNet-50 backbone networks. Model parameters were optimized using the validation set, and performance metrics [including Dice coefficient, mean intersection over union (mIoU), mean pixel accuracy (mPA), and Precision] were assessed on the test set. The model′s performance was benchmarked against conventional semantic segmentation frameworks (U-Net and PSPNet). Results:The developed PixelSIFT-UNet model could achieve precise segmentation of three common oral mucosal lesions: oral lichen planus, oral leukoplakia, and oral submucous fibrosis. Utilizing VGG-16 as the backbone network, the model achieved Dice coefficient, mIoU, mPA, and Precision values of 0.642, 0.699, 0.836, and 0.792, respectively. Implementation with ResNet-50 backbone network yielded metrics of 0.668, 0.733, 0.872 and 0.817, demonstrating significant improvements across all performance indicators compared to conventional U-Net model (relevant metrics: 0.662, 0.717, 0.861 and 0.809) and PSPNet model (relevant metrics: 0.671, 0.721, 0.858 and 0.813).Conclusions:The proposed PixelSIFT-UNet architecture demonstrates superior performance in oral mucosal lesion segmentation tasks, surpassing conventional semantic segmentation models and providing robust quantitative improvements in segmentation accuracy.

Objective To develop and translate the Chinese listening self-efficacy questionnaire(C-LSEQ)and to test its reliability and validity.Methods A total of 172 subjects aged≥60 years with age-related hearing loss completed the C-LSEQ questionnaire via direct interviews.Pure tone hearing threshold test,Mandarin hearing in noise test,and the hearing handicap inventory for elderly-screening(HHIE-S)were evaluated.Twenty subjects were randomly selected from the original group to complete the C-LSEQ questionnaire in 2 weeks after the initial evaluation.Results ① Reliability:The Cronbach's a coefficients of the three sub-dimensions and the overall ques-tionnaire were all＞0.8,and the test-retest reliability coefficients of the three sub-dimensions and the overall ques-tionnaire were all＞0.9(P＜0.001).② Validity:The experts collectively evaluated the representativeness of the statements with good content validity.The convergent validity test showed that the composite reliability(CR)of the 2 sub-dimensions and the overall questionnaire were all＞0.7,and the average variance extracted(AVE)were all＞0.5.The CR value of the complex listening dimension was 0.655,and the AVE value was 0.937.The criterion validity test showed that the overall questionnaire and the three sub-dimensions of the C-LSEQ were significantly correlated with the pure-tone average,speech recognition thresholds in noise,and HHIE-S(P＜0.001).Conclusion The C-LSEQ exhibits stable structure,with good reliability and validity.It can be used to assess listen-ing self-efficacy in adults with hearing loss,especially in the elderly with age-related hearing loss.

Objective:To investigate the therapeutic efficacy and safety of conditioning regimen with oral melphalan in tandem autologous hematopoieticstem cell transplantation (ASCT) for patients with malignant plasma cell diseases.Methods:A retrospective case series study was conducted. The clinical data of 13 patients with malignant plasma cell diseases who underwent tandem ASCT between October 2019 and March 2024 in the First Affiliated Hospital of Xi'an Jiaotong University were collected. Compared with the use of intravenous melphalan as conditioning regimen for the first ASCT, hematopoietic reconstruction after transplantation, the therapeutic effects, adverse reactions after drug usage and survival of conditioning regimen with oral melphalan after tandem ASCT were analyzed.Results:Among the 13 patients, there were 10 males and 3 females, with a median age [ M ( Q1, Q3)] of 53 (48, 61) years; 11 cases were multiple myeloma and 2 cases were plasma cell leukemia. Before the first ASCT, tandem ASCT was performed 2-6 months later. The median reconstruction time of neutrophils after the first and second ASCT were both 9 (9, 10) d, and the median reconstruction time of platelets after the first and second ASCT were both 10 (9, 11) d, and there were no statistically significant differences in reconstruction rate of granulocytes on day 9 [69.2% (9/13) vs. 61.5% (8/13)] and platelets on day 10 [46.2% (6/13) vs. 53.8% (7/13)] between the first and second transplantation (all P > 0.05). There were 4 cases of strict complete remission (sCR), 3 cases of complete remission (CR), 4 cases of very good partial remission (VGPR), and 2 cases of partial remission (PR) before the first ASCT. After the first ASCT 1 month later, 1 case achieved VGPR, 1 case achieved PR, 11 cases achieved sCR; all 13 patients achieved sCR at 6 months after second ASCT. Compared with conditioning regimen of intravenous melphalan for the first ASCT, the non-hematological adverse reactions such as nausea (7 cases vs. 9 cases), vomiting (4 cases vs. 13 cases), diarrhea (4 cases vs. 13 cases) and oral mucositis (2 cases vs. 9 cases) in the conditioning regimen of oral melphalan after the second ASCT was reduced, and the differences were statistically significant (all P < 0.01). After the 2 transplantation conditioning regimen with melphalan, Ⅳ degree myelosuppression occurred in 13 cases. After the second ASCT, the median follow-up time was 14 (10, 22) months, 7 patients received maintenance therapy containing lenalidomide, 3 patients received maintenance therapy containing bortezomib, 2 patients received pomalidomide maintenance therapy, and 1 patient received maintenance therapy containing CD38 monoclonal antibody. At the last follow-up, all patients survived, among which 6 multiple myeloma patients relapsed; and the median recurrence time was 13 (10, 22) months after the second ASCT. The estimated 5-year progression-free survival rate was 28.6%. Conclusions:Conditioning regimen with oral melphalan for the second ASCT is safe and well tolerated, and it may further improve the efficacy of the first transplantation.

Objective:To analyze the electroencephalogram features of visual working memory in the delay stage based on microstate analysis.Methods:In this cross-sectional study, ten healthy male subjects aged 19-29 years old from Tianjin Medical University were selected from January to July 2015. The 32-channel electroencephalogram experimental data were recorded from these subjects during the visual working memory eye-open state for 10 min (resting-state) and the delayed matching-to-sample (DMS) task (task-state) conditions, respectively. After data pre-processing, a short-time Fourier transform was applied for time-frequency analysis to extract the characteristic time periods and frequency bands, and electroencephalogram microstates of the resting and task states of visual working memory were computed separately, using an improved k-means clustering algorithm. The Mann-Whitney U test was used to analyze the statistical differences between resting-state and task-state microstate parameters, including global field power (GFP), global explained variance (GEV), time proportion, mean spatial correlation, frequency of occurrence and duration. Results:The time-frequency distribution of the Fz channel in the responsible brain region in DMS task visual working memory showed that the energy was mainly concentrated in the theta band (4-8 Hz) during the delay stage (4.039-7.039 s). The bipolar locations of microstates A, B, C, and D were prefrontal and occipital, central frontal and occipital, right occipital and left frontal, and left occipital and right frontal, respectively. In microstates A and C, the mean spatial correlation of the task-state was both higher than that of the resting state. The comparison results for microstate A were (0.632 5±0.105 8 vs 0.624 5±0.461 4, P<0.05), and the results for microstate C were (0.589 4±0.233 4 vs 0.561 3±0.066 8, P<0.01). The parameters of the task-state microstate D were lower than those of the resting-state, including GFP (1.125±0.061 vs 1.277±0.741, P<0.05), GEV (0.077±0.061 vs 0.101±0.057, P<0.05), and time proportion (0.191±0.165 vs 0.224±0.094, P<0.05) and mean spatial correlation (0.561 2±0.211 6 vs 0.612 1±0.315 2, P<0.01). Conclusions:The critical period of visual working memory is the delay stage and the critical frequency band is the theta band. Microstate D is the characteristic feature of visual working memory in the delay stage of the theta band, and microstates A and C can also serve as its potential features.

BACKGROUND:Immune cells are correlated with various metabolic bone diseases,yet the specific immunological mechanisms and causal relationships remain elusive.OBJECTIVE:To investigate the causal relationship between immune cells and the risk of metabolic bone diseases through two-sample Mendelian randomization.METHODS:Genome-wide association study(GWAS)data on 731 immune cells and metabolic bone diseases(osteonecrosis,osteomalacia,osteoporosis,and osteoporosis combined with pathological fracture)were obtained from publicly available databases.Genetic variants related to immune cells were employed as instrumental variables.The inverse variance weighting method was utilized as the primary analytical approach,while MR-Egger and weighted median methods were applied to assess the causal relationships between immune cells and the risk of metabolic bone diseases.In addition,MR-PRESSO,MR-Egger regression,Cochran's Q test,and the leave-one-out method were implemented to evaluate genetic polymorphisms and the heterogeneity of instrumental variables,and MR Steiger method was used to exclude reverse causality.RESULTS AND CONCLUSION:(1)The analysis revealed that IgD-CD38dim％B cells,HLA DR on CD14+CD16-monocytes,and HLA DR on CD14+monocytes were significantly and causally associated with an increased risk of osteoporosis(P＜6.8x10-5).Sensitivity analyses confirmed the reliability and stability of these results.Furthermore,among the immune cell types studied,28 demonstrated potential causal associations with osteonecrosis,23 with osteomalacia,46 with osteoporosis,and 45 with the combined condition of osteoporosis and pathologic fracture(P＜0.05).(2)This study provides a comprehensive assessment of the causal influence of immune cells on metabolic bone diseases,highlighting the significant role of immune factors in the pathogenesis of these conditions,particularly osteoporosis.The findings contribute valuable insights into the relationship between immune traits and bone metabolism,laying a foundation for future research in this domain.This study utilized an international database to analyze the European population,which offers a reference for Chinese biomedical research in the realm of metabolic bone diseases,and facilitates the conduction of relevant studies for the Chinese population,thereby promoting the enhancement of the prevention and treatment of metabolic bone diseases.

Objective:To investigate the clinical efficacy of intraoperative regional lymph-adenectomy and extended lymphadenectomy in resectable hilar cholangiocarcinoma.Methods:The propensity score matching and retrospective cohort study was conducted. The clinicopathological data of 187 patients of hilar cholangiocarcinoma who were admitted to Henan University People′s Hospital from January 2014 to January 2018 were collected. There were 105 males and 82 females, aged (57±9)years. Of the 187 patients, 62 patients undergoing hilar cholangiocarcinoma resection with extended lymphadenectomy were divided into the extended group, and 125 patients under-going hilar cholangiocarcinoma resection with regional lymphadenectomy were divided into the regional group. Observation indicators:(1) propensity score matching status and comparison of clinical data of patients between the two groups after matching; (2) intraoperative and postoperative conditions; (3) follow-up. Comparison of measurement data with normal distribu-tion between groups was conducted using the independent sample t test. Comparison of measurement data with skewed distribution between groups was conducted using the Mann-Whitney U test. Comparison of count data between groups was conducted using the chi-square test. Comparison of ordinal data was conducted using the rank sum test. The Kaplan-Meier method was used to plot calculate survival rate and survival curve. The Log-rank test was used for survival analysis. Propen-sity score matching was performed using the 1∶1 nearest neighbor matching method, with the caliper value of 0.1. Results:(1) Propen-sity score matching status and comparison of clinical data of patients between the two groups after matching. Of the 187 patients, 104 patients were success-fully matched, with 52 cases in each of the extended group and the regional group. After propensity score matching, the elimination of tumor diameter, neural invasion, Bismuth classification, and TNM staging confounding bias ensured comparability. (2) Intraoperative and postoperative conditions. After pro-pensity score matching, the operation time of the extended group was (341±83)minutes, the number of lymph node dissected was 12.3±4.5, the number of positive lymph node dissected was 2.2±0.7, cases of postoperative new lymphadenectasis was 17. The above indicators of the regional group were (311±73)minutes, 9.2±3.4, 1.5±0.5, 44, respectively. There were significant differences in the above indica-tors between patients of the two groups ( t=-1.99, -3.92, -5.57, χ2=31.18, P<0.05). (3) Follow-up. After propensity score matching, all 104 patients were followed up after surgery, with the follow-up time of 29(range, 3-49)months. The postoperative 3-year overall survival rate was 44.2% of the extended group, versus 30.8% of the regional group, showing a significant difference between the two groups ( χ2=4.41, P<0.05). Conclusions:The perioperative safety of regional lymphadenec-tomy and extended lymphadenectomy in the radical resection of hilar cholangiocarcinoma are com-parable. Extended lymphadenectomy can increase the number of positive lymph node detected and improve the postoperative survival rate of patients.

Objective To develop and translate the Chinese listening self-efficacy questionnaire(C-LSEQ)and to test its reliability and validity.Methods A total of 172 subjects aged≥60 years with age-related hearing loss completed the C-LSEQ questionnaire via direct interviews.Pure tone hearing threshold test,Mandarin hearing in noise test,and the hearing handicap inventory for elderly-screening(HHIE-S)were evaluated.Twenty subjects were randomly selected from the original group to complete the C-LSEQ questionnaire in 2 weeks after the initial evaluation.Results ① Reliability:The Cronbach's a coefficients of the three sub-dimensions and the overall ques-tionnaire were all＞0.8,and the test-retest reliability coefficients of the three sub-dimensions and the overall ques-tionnaire were all＞0.9(P＜0.001).② Validity:The experts collectively evaluated the representativeness of the statements with good content validity.The convergent validity test showed that the composite reliability(CR)of the 2 sub-dimensions and the overall questionnaire were all＞0.7,and the average variance extracted(AVE)were all＞0.5.The CR value of the complex listening dimension was 0.655,and the AVE value was 0.937.The criterion validity test showed that the overall questionnaire and the three sub-dimensions of the C-LSEQ were significantly correlated with the pure-tone average,speech recognition thresholds in noise,and HHIE-S(P＜0.001).Conclusion The C-LSEQ exhibits stable structure,with good reliability and validity.It can be used to assess listen-ing self-efficacy in adults with hearing loss,especially in the elderly with age-related hearing loss.

Objective:To develop PixelSIFT-UNet, a novel semantic segmentation model that integrates deep learning with scale-invariant feature transform (SIFT) algorithm to improve the segmentation accuracy of oral mucosal lesions.Methods:This investigation utilized 838 standard clinical white light images of oral mucosal diseases acquired from January 2020 to December 2022 at the Stomatology Hospital Zhejiang University School of Medicine. Randomization was achieved through Python′s random.seed function implementation. The random sample function was subsequently applied for sampling distribution. The dataset was stratified into three subsets with a 6∶2∶2 ratio: training ( n=506), validation ( n=166), and testing ( n=166). Lesion boundaries were annotated using Labelme software, and a PixelSIFT-UNet-based deep learning model was developed with VGG-16 and ResNet-50 backbone networks. Model parameters were optimized using the validation set, and performance metrics [including Dice coefficient, mean intersection over union (mIoU), mean pixel accuracy (mPA), and Precision] were assessed on the test set. The model′s performance was benchmarked against conventional semantic segmentation frameworks (U-Net and PSPNet). Results:The developed PixelSIFT-UNet model could achieve precise segmentation of three common oral mucosal lesions: oral lichen planus, oral leukoplakia, and oral submucous fibrosis. Utilizing VGG-16 as the backbone network, the model achieved Dice coefficient, mIoU, mPA, and Precision values of 0.642, 0.699, 0.836, and 0.792, respectively. Implementation with ResNet-50 backbone network yielded metrics of 0.668, 0.733, 0.872 and 0.817, demonstrating significant improvements across all performance indicators compared to conventional U-Net model (relevant metrics: 0.662, 0.717, 0.861 and 0.809) and PSPNet model (relevant metrics: 0.671, 0.721, 0.858 and 0.813).Conclusions:The proposed PixelSIFT-UNet architecture demonstrates superior performance in oral mucosal lesion segmentation tasks, surpassing conventional semantic segmentation models and providing robust quantitative improvements in segmentation accuracy.

BACKGROUND:Immune cells are correlated with various metabolic bone diseases,yet the specific immunological mechanisms and causal relationships remain elusive.OBJECTIVE:To investigate the causal relationship between immune cells and the risk of metabolic bone diseases through two-sample Mendelian randomization.METHODS:Genome-wide association study(GWAS)data on 731 immune cells and metabolic bone diseases(osteonecrosis,osteomalacia,osteoporosis,and osteoporosis combined with pathological fracture)were obtained from publicly available databases.Genetic variants related to immune cells were employed as instrumental variables.The inverse variance weighting method was utilized as the primary analytical approach,while MR-Egger and weighted median methods were applied to assess the causal relationships between immune cells and the risk of metabolic bone diseases.In addition,MR-PRESSO,MR-Egger regression,Cochran's Q test,and the leave-one-out method were implemented to evaluate genetic polymorphisms and the heterogeneity of instrumental variables,and MR Steiger method was used to exclude reverse causality.RESULTS AND CONCLUSION:(1)The analysis revealed that IgD-CD38dim％B cells,HLA DR on CD14+CD16-monocytes,and HLA DR on CD14+monocytes were significantly and causally associated with an increased risk of osteoporosis(P＜6.8x10-5).Sensitivity analyses confirmed the reliability and stability of these results.Furthermore,among the immune cell types studied,28 demonstrated potential causal associations with osteonecrosis,23 with osteomalacia,46 with osteoporosis,and 45 with the combined condition of osteoporosis and pathologic fracture(P＜0.05).(2)This study provides a comprehensive assessment of the causal influence of immune cells on metabolic bone diseases,highlighting the significant role of immune factors in the pathogenesis of these conditions,particularly osteoporosis.The findings contribute valuable insights into the relationship between immune traits and bone metabolism,laying a foundation for future research in this domain.This study utilized an international database to analyze the European population,which offers a reference for Chinese biomedical research in the realm of metabolic bone diseases,and facilitates the conduction of relevant studies for the Chinese population,thereby promoting the enhancement of the prevention and treatment of metabolic bone diseases.