ObjectiveTo explore whether fluoroethylnormemantine （FENM）， an NMDA receptor antagonist， could improve compulsive-like behaviors and to investigate its underlying mechanisms in the RU24969-induced obsessive-compulsive disorder （OCD） mouse model. MethodsThirty-two mice were randomly assigned to four groups： Saline （n=8）， RU24969 （n=8）， RU+FENM （n=8）， and FENM （n=8）. Mice received FENM or an equivalent volume of saline for pre-treatment， followed by RU24969 or saline for model induction 30 minutes later. Behavioral tests were performed 1 hour after modeling， and serum samples were collected to measure the level of brain-derived neurotrophic factor （BDNF）. Evans Blue dye was intravenously injected to assess dye content in brain tissue， thereby evaluating potential blood-brain barrier damage. ResultsFENM treatment significantly improved repetitive stereotyped circling behavior （F=39.850， P＜0.001） and alleviated persistent motor activity （F=50.200， P＜0.001） in RU24969 model mice. Additionally， FENM treatment significantly increased serum BDNF level in RU24969-induced OCD mice （F=18.930， P＜0.001）. ConclusionsFENM ， an NMDA receptor antagonist， may alleviate compulsive behaviors in OCD mice by modulating BDNF levels ， thereby exerting anti-compulsive effects. Neither the RU24969 model nor FENM treatment significantly affectes blood-brain barrier integrity.

Purpose: The genomic characteristics of uterine sarcomas have not been fully elucidated. This study aimed to explore the genomic landscape of the uterine sarcomas (USs). Materials and Methods: Comprehensive genomic analysis through RNA-sequencing was conducted. Gene fusion, differentially expressed genes (DEGs), signaling pathway enrichment, immune cell infiltration, and prognosis were analyzed. A deep learning model was constructed to predict the survival of US patients. Results: A total of 71 US samples were examined, including 47 endometrial stromal sarcomas (ESS), 18 uterine leiomyosarcomas (uLMS), three adenosarcomas, two carcinosarcomas, and one uterine tumor resembling an ovarian sex-cord tumor. ESS (including high-grade ESS [HGESS] and low-grade ESS [LGESS]) and uLMS showed distinct gene fusion signatures; a novel gene fusion site, MRPS18A–PDC-AS1 could be a potential diagnostic marker for the pathology differential diagnosis of uLMS and ESS; 797 and 477 uterine sarcoma DEGs (uDEGs) were identified in the ESS vs. uLMS and HGESS vs. LGESS groups, respectively. The uDEGs were enriched in multiple pathways. Fifteen genes including LAMB4 were confirmed with prognostic value in USs; immune infiltration analysis revealed the prognositic value of myeloid dendritic cells, plasmacytoid dendritic cells, natural killer cells, macrophage M1, monocytes and hematopoietic stem cells in USs; the deep learning model named Max-Mean Non-Local multi-instance learning (MMN-MIL) showed satisfactory performance in predicting the survival of US patients, with the area under the receiver operating curve curve reached 0.909 and accuracy achieved 0.804. Conclusion USs harbored distinct gene fusion characteristics and gene expression features between HGESS, LGESS, and uLMS. The MMN-MIL model could effectively predict the survival of US patients.

To study the microbiological contamination of endoscopic forceps channel at the time of reception and after disinfection, and gain a preliminary understanding of their real disinfection quality, then analyse the problems and make recommendations. A total of 115 endoscopes received at Renmin Hospital of Wuhan University from June 2022 to December 2023 were chosen. Microbiological sampling and strain identification of the endoscopic forceps channel were carried out at the time of reception of the endoscopes and after cleaning and disinfection, respectively, then the qualified disinfection rate and microbial detection rate were compared. The overall qualified disinfection rate after cleaning and disinfection of endoscopes received (91.3%, 105/115) was higher than that at reception (57.4%, 66/115, χ 2=37.026, P<0.001). The overall microbiological detection after cleaning and disinfection of endoscopes received (13.0%, 15/115) was lower than that at reception (48.7%, 56/115, χ 2=41.000, P<0.001), the detection rate of high pathogenic organisms after cleaning and disinfection (7.0%, 8/115) was lower than that at reception (29.6%, 34/115, χ 2=24.039, P<0.001), low pathogenic organisms after cleaning and disinfection (6.1%, 7/115) was lower than that at reception (19.1%, 22/115, χ 2=13.067, P<0.001). At the time of reception, the qualified disinfection rate was low and the microbiological detection rate was high, and there may become a greater risk of cross-infection; after cleaning and disinfection, the qualified disinfection rate was increased and the microbiological detection rate was decreased, which may greatly reduce the risk of patient infection. Therefore, it is recommended that attention should be paid to the disinfection quality monitoring of endoscopes received before putting into clinical use.

Purpose: The genomic characteristics of uterine sarcomas have not been fully elucidated. This study aimed to explore the genomic landscape of the uterine sarcomas (USs). Materials and Methods: Comprehensive genomic analysis through RNA-sequencing was conducted. Gene fusion, differentially expressed genes (DEGs), signaling pathway enrichment, immune cell infiltration, and prognosis were analyzed. A deep learning model was constructed to predict the survival of US patients. Results: A total of 71 US samples were examined, including 47 endometrial stromal sarcomas (ESS), 18 uterine leiomyosarcomas (uLMS), three adenosarcomas, two carcinosarcomas, and one uterine tumor resembling an ovarian sex-cord tumor. ESS (including high-grade ESS [HGESS] and low-grade ESS [LGESS]) and uLMS showed distinct gene fusion signatures; a novel gene fusion site, MRPS18A–PDC-AS1 could be a potential diagnostic marker for the pathology differential diagnosis of uLMS and ESS; 797 and 477 uterine sarcoma DEGs (uDEGs) were identified in the ESS vs. uLMS and HGESS vs. LGESS groups, respectively. The uDEGs were enriched in multiple pathways. Fifteen genes including LAMB4 were confirmed with prognostic value in USs; immune infiltration analysis revealed the prognositic value of myeloid dendritic cells, plasmacytoid dendritic cells, natural killer cells, macrophage M1, monocytes and hematopoietic stem cells in USs; the deep learning model named Max-Mean Non-Local multi-instance learning (MMN-MIL) showed satisfactory performance in predicting the survival of US patients, with the area under the receiver operating curve curve reached 0.909 and accuracy achieved 0.804. Conclusion USs harbored distinct gene fusion characteristics and gene expression features between HGESS, LGESS, and uLMS. The MMN-MIL model could effectively predict the survival of US patients.

Purpose: The genomic characteristics of uterine sarcomas have not been fully elucidated. This study aimed to explore the genomic landscape of the uterine sarcomas (USs). Materials and Methods: Comprehensive genomic analysis through RNA-sequencing was conducted. Gene fusion, differentially expressed genes (DEGs), signaling pathway enrichment, immune cell infiltration, and prognosis were analyzed. A deep learning model was constructed to predict the survival of US patients. Results: A total of 71 US samples were examined, including 47 endometrial stromal sarcomas (ESS), 18 uterine leiomyosarcomas (uLMS), three adenosarcomas, two carcinosarcomas, and one uterine tumor resembling an ovarian sex-cord tumor. ESS (including high-grade ESS [HGESS] and low-grade ESS [LGESS]) and uLMS showed distinct gene fusion signatures; a novel gene fusion site, MRPS18A–PDC-AS1 could be a potential diagnostic marker for the pathology differential diagnosis of uLMS and ESS; 797 and 477 uterine sarcoma DEGs (uDEGs) were identified in the ESS vs. uLMS and HGESS vs. LGESS groups, respectively. The uDEGs were enriched in multiple pathways. Fifteen genes including LAMB4 were confirmed with prognostic value in USs; immune infiltration analysis revealed the prognositic value of myeloid dendritic cells, plasmacytoid dendritic cells, natural killer cells, macrophage M1, monocytes and hematopoietic stem cells in USs; the deep learning model named Max-Mean Non-Local multi-instance learning (MMN-MIL) showed satisfactory performance in predicting the survival of US patients, with the area under the receiver operating curve curve reached 0.909 and accuracy achieved 0.804. Conclusion USs harbored distinct gene fusion characteristics and gene expression features between HGESS, LGESS, and uLMS. The MMN-MIL model could effectively predict the survival of US patients.

Objective To compare the effects of perfusion tube and pressure air gun on endoscopic channels drying by using the stripped endoscope model,so as to explore the application value of perfusion tube in endoscopic channels drying.Methods After the standard manual cleaning and disinfection process,the stripped endoscope model was randomly divided into group A and group B.Each group was subjected to 30 tests.Group A was injected with a perfusion tube,and group B was injected with a pressure air gun.The liquid residues in the endoscope tubes were observed visually and with a magnifying lens,and the time of thorough drying of the endoscope channels and the physical fatigue of the operators were compared between the two groups.Results The average drying time of the group A was(366.47±75.74)s,the average drying time of the group B was(338.40±65.81)s,there was no significant difference between the two groups(t=-1.53,P=0.131).The fatigue degree of the group A was lower than group B(t=16.79,P＜0.01).Conclusion There is no statistical difference in the air delivery time between the perfusion tube and the pressure air gun drying endoscopic tube,and the operator's physical fatigue is light when the perfusion tube is used,so it is recommended to use the perfusion tube drying endoscopic tube in clinic.

Objective To compare the effects of perfusion tube and pressure air gun on endoscopic channels drying by using the stripped endoscope model,so as to explore the application value of perfusion tube in endoscopic channels drying.Methods After the standard manual cleaning and disinfection process,the stripped endoscope model was randomly divided into group A and group B.Each group was subjected to 30 tests.Group A was injected with a perfusion tube,and group B was injected with a pressure air gun.The liquid residues in the endoscope tubes were observed visually and with a magnifying lens,and the time of thorough drying of the endoscope channels and the physical fatigue of the operators were compared between the two groups.Results The average drying time of the group A was(366.47±75.74)s,the average drying time of the group B was(338.40±65.81)s,there was no significant difference between the two groups(t=-1.53,P=0.131).The fatigue degree of the group A was lower than group B(t=16.79,P＜0.01).Conclusion There is no statistical difference in the air delivery time between the perfusion tube and the pressure air gun drying endoscopic tube,and the operator's physical fatigue is light when the perfusion tube is used,so it is recommended to use the perfusion tube drying endoscopic tube in clinic.

To study the microbiological contamination of endoscopic forceps channel at the time of reception and after disinfection, and gain a preliminary understanding of their real disinfection quality, then analyse the problems and make recommendations. A total of 115 endoscopes received at Renmin Hospital of Wuhan University from June 2022 to December 2023 were chosen. Microbiological sampling and strain identification of the endoscopic forceps channel were carried out at the time of reception of the endoscopes and after cleaning and disinfection, respectively, then the qualified disinfection rate and microbial detection rate were compared. The overall qualified disinfection rate after cleaning and disinfection of endoscopes received (91.3%, 105/115) was higher than that at reception (57.4%, 66/115, χ 2=37.026, P<0.001). The overall microbiological detection after cleaning and disinfection of endoscopes received (13.0%, 15/115) was lower than that at reception (48.7%, 56/115, χ 2=41.000, P<0.001), the detection rate of high pathogenic organisms after cleaning and disinfection (7.0%, 8/115) was lower than that at reception (29.6%, 34/115, χ 2=24.039, P<0.001), low pathogenic organisms after cleaning and disinfection (6.1%, 7/115) was lower than that at reception (19.1%, 22/115, χ 2=13.067, P<0.001). At the time of reception, the qualified disinfection rate was low and the microbiological detection rate was high, and there may become a greater risk of cross-infection; after cleaning and disinfection, the qualified disinfection rate was increased and the microbiological detection rate was decreased, which may greatly reduce the risk of patient infection. Therefore, it is recommended that attention should be paid to the disinfection quality monitoring of endoscopes received before putting into clinical use.

Background The current increasing trend of new cases of occupational noise-induced deafness indicates that the hearing loss of occupational population has not been effectively controlled in China. It is of great significance to study the characteristics of hearing loss among noise-exposed workers and its related factors. Objective To investigate characteristics and influencing factors of hearing loss among occupational noise-exposed workers in a large machinery maintenance enterprise, and to provide a scientific basis to prevent and control noise-induced hearing loss. Methods A cross-sectional survey was conducted to investigate male Han occupational noise-exposed workers in a large mechanical maintenance enterprise. We acquired demographic characteristics, occupational exposure history, and individual life behavior characteristics of the workers through questionnaires, collected occupational exposure level data from annual occupational disease hazard factor surveillance reports, obtained pure tone hearing threshold test data through occupational health examinations, and estimated individual noise exposure levels using cumulative noise exposure (CNE). According to the results of pure tone air conduction hearing threshold test, the workers were divided into a hearing loss group and a normal hearing group. The chi-square test was employed to compare the occupational exposure characteristics and individual life behavior characteristics between the two groups. Additionally, the trend chi-square test was utilized to analyze the changing trends of age, length of service, CNE, and hearing loss rate within the two groups. The relationship between high-frequency hearing loss in both ears and its related influencing factors was assessed by a multiple logistic regression model. Results The M (P₂₅, P₇₅) of CNE for the 2531 occupational noise-exposed workers was 97.51 (95.39, 99.96) dB(A)·year. The incidence of hearing anomaly, binaural high-frequency hearing anomaly, random ear high-frequency hearing anomaly, binaural low-frequency hearing anomaly, and random ear low-frequency hearing anomaly were 22.48%, 16.59%, 22.13%, 2.77%, and 3.52%, respectively. High-frequency hearing threshold increase was the main reason for hearing anomaly (98.42%). In comparison to the CNE ≤ 97 dB(A)·year group, the 97 dB(A)·year100 dB(A)·year group experienced a 36.4% and 52.3% increase in the risk of bilateral high-frequency hearing loss, respectively. The smoking group exhibited a 43.5% elevated risk of bilateral high-frequency hearing loss when compared to the non-smoking group. Conversely, the group frequently wearing hearing protection equipment demonstrated a 23.6% lower risk of bilateral high-frequency hearing loss in comparison to the group occasionally wearing protective equipment. The data suggested that CNE＞97 dB(A)·year and smoking might be independent risk factors for bilateral high-frequency hearing loss, and frequently wearing hearing protection equipment might be an important protective factor. Conclusion Increased CNE and smoking can elevate the risk of high-frequency hearing loss, while personal hearing protection can effectively reduce the risk of hearing loss.

Objective:To evaluate the effect of automated flexible endoscope channel brushing system (AFECBS) on endoscope reprocessing.Methods:A prospective randomized controlled study was conducted. The used endoscopes were divided into automatic group and manual group by random number table method, 200 in each group. In the automatic group, the AFECBS was used to scrub each tube 3 times during endoscope cleaning; and in the manual group, scrubbing and disinfection personnel routinely brushed each pipeline for 3 times. The primary end point was the qualified rate of endoscopic cleaning quality in the two groups, and the secondary end point was the time spent by the scrubbing and disinfection personnel on the two groups.Results:The qualified rate of overall cleaning in the automatic group was 90.0% (180/200), and in the manual group was 81.0% (162/200). The qualified rate of the automatic group was higher than that of the manual group ( χ2=6.534, P=0.011). The qualified rate of gastroscope cleaning in the automatic group was higher than that in the manual group [92.0% (127/138) VS 81.6% (120/147), χ2=6.658, P=0.010]. There was no significant difference in the qualified rate of colonoscope cleaning between the automatic group and the manual group [85.5% (53/62) VS 79.2% (42/53), χ2=0.774, P=0.379]. When the cleaning personnel scoured 5 endoscopes in each of the two groups, the time of the automatic group (5.17±0.42 min) was shorter than that of the manual group (9.60±0.53 min) ( t=92.644, P<0.001). Conclusion:Compared with manual scrubbing, AFECBS can improve the qualified rate of endoscope cleaning and the work efficiency of scrubbing and disinfection personnel, which is worthy of clinical application.