On the premise of respecting the objective law of the occurrence and development of traditional Chinese medicine（TCM） dispensing granules， relevant national departments have gradually formed the research and formulation ideas of national drug standards for dispensing granules based on the experiences and lessons learned in the development process of quality standards， as well as the formation mechanism of national standards for dispensing granules. This has certain reference significance for the formulation path of TCM quality standards. Combined with the general situation of the published standards and specific cases， the research concepts of the national standards for dispensing granules were analyzed and summarized in this paper， and the analysis of the technical characteristics of the issued national standards was focused， including the introduction of standard decoction， the overall quality control of TCM， the whole process quality control and other research ideas. At the same time， it summarized the industry common problems in the research and development process of national standards for dispensing granules， such as the source and process control of medicinal materials， and strived to solve them together， encouraging the demonstration and application of new technological means in the field of TCM dispensing granules. Finally， based on the literature analysis， the shortcomings of the current national standards were discussed， and relevant suggestions were put forward to further improve the national standards for dispensing granules. Through the overall analysis， it is helpful to comprehensively understand the technical characteristics of the national standards for TCM dispensing granules， and provide reference for the scientific exploration and practice of quality control methods for TCM.

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 investigate the clinicopathological characteristics of well-differentiated papillary mesothelial tumor (WDPMT).Methods:Sixteen cases of resected WDPMTs diagnosed at the Affiliated Hospital of Qingdao University, Qingdao, China from 2017 to 2024 were collected and the clinicopathological features were retrospectively analyzed.Results:There were 7 males amd 9 females, with a mean age of 53.8±14.8 years (range, 25-83 years). Tumor size ranged from 3 to 12 mm in maximum diameter. Of the 16 cases, 15 involved the peritoneum and 1 involved the pleura, one of which occurred on the surface of ovary. All cases were incidentally identified during unrelated surgical procedures. Histologically, tumors exhibited arborizing papillary growth patterns and frequently displayed hierarchically branching papilla. Tumor cells showed cuboidal to flattened cell morphology with minimal nuclear atypia. Mitotic figures were not noted in all cases. Entrapped gland-like tumor cell clusters were found in the stroma of tumor papilla in 1 of the 16 cases. Immunohistochemically, the tumor cells expressed mesothelial markers (Calretinin, D2-40, and CK5/6) in all cases, and BAP1 and MTAP were immunoreactive in all tested cases. Fluorescence in situ hybridization revealed no CDKN2A deletions.Conclusions:WDPMT predominantly occurs in the peritoneum and typically demonstrates indolent biological behaviors. It often shows overlapping features with mesothelioma in situ and epithelioid mesothelioma. The hierarchical branching papillae is its diagnostic hallmark, while routine immunohistochemical evaluation of BAP1 and MTAP is also recommended for differential diagnosis of these tumors.

Objective:To investigate the relationship between susceptibility to hearing loss in noise-exposed Han Chinese male homo sapiens and glutathione S-transferase (GST) gene polymorphisms, providing a scientific basis for further understanding the pathogenic mechanisms of noise-induced hearing loss (NIHL) and screening for genetic susceptibility biomarkers.Methods:In May 2024, a cross-sectional survey was conducted to recruit 332 male Han workers exposed to noise from a prominent mechanical maintenance enterprise. Workers were classified into the hearing loss group if they exhibited a binaural high-frequency average hearing threshold exceeding 25 dB and a binaural speech frequency average hearing threshold loss that was less than the binaural high-frequency average hearing threshold loss, resulting in a total of 332 individuals in this group. Furthermore, a matched group of 332 hearing-normal workers was established on a 1∶1 basis for each hearing-impaired worker, using criteria such as the same job type, age, and a noise exposure duration of ≤4 years. Basic data of worker was collected through a questionnaire survey, and individual noise exposure levels were assessed using cumulative noise exposure (CNE). Various PCR and high-throughput sequencing techniques were employed to identify polymorphisms in the GSTT1, GSTM1, and GSTP1rs1695 genes. The basic information and genotypes of the two groups were compared using paired t-tests and paired chi-square tests. A Cox regression model was utilized to establish a 1∶1 paired logistic regression model to examine the correlation between GST gene polymorphisms and susceptibility to NIHL. Results:Individuals with GSTM1 and GSTT1 gene deletion are more susceptible to NIHL compared to those with existing genes, even after adjusting for other factors ( OR=1.464, 95% CI: 1.02-2.09; OR=0.68, 95% CI: 1.06-2.02). Wearing protective equipment occasionally, rather than consistently, significantly increases the risk of NIHL ( OR=1.38, 95% CI: 1.01-1.88). There was no link between GSTP1rs1695 polymorphism and NIHL risk ( P>0.05) . Conclusion:The deletion of GSTM1 and GSTT1 genes is an independent influencing factor that increases the risk of NIHL, and can be considered as a genetic susceptibility biomarker for the NIHL population. Strengthening personal hearing protection is an effective measure to reduce the risk of NIHL.

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 investigate the relationship between susceptibility to hearing loss in noise-exposed Han Chinese male homo sapiens and glutathione S-transferase (GST) gene polymorphisms, providing a scientific basis for further understanding the pathogenic mechanisms of noise-induced hearing loss (NIHL) and screening for genetic susceptibility biomarkers.Methods:In May 2024, a cross-sectional survey was conducted to recruit 332 male Han workers exposed to noise from a prominent mechanical maintenance enterprise. Workers were classified into the hearing loss group if they exhibited a binaural high-frequency average hearing threshold exceeding 25 dB and a binaural speech frequency average hearing threshold loss that was less than the binaural high-frequency average hearing threshold loss, resulting in a total of 332 individuals in this group. Furthermore, a matched group of 332 hearing-normal workers was established on a 1∶1 basis for each hearing-impaired worker, using criteria such as the same job type, age, and a noise exposure duration of ≤4 years. Basic data of worker was collected through a questionnaire survey, and individual noise exposure levels were assessed using cumulative noise exposure (CNE). Various PCR and high-throughput sequencing techniques were employed to identify polymorphisms in the GSTT1, GSTM1, and GSTP1rs1695 genes. The basic information and genotypes of the two groups were compared using paired t-tests and paired chi-square tests. A Cox regression model was utilized to establish a 1∶1 paired logistic regression model to examine the correlation between GST gene polymorphisms and susceptibility to NIHL. Results:Individuals with GSTM1 and GSTT1 gene deletion are more susceptible to NIHL compared to those with existing genes, even after adjusting for other factors ( OR=1.464, 95% CI: 1.02-2.09; OR=0.68, 95% CI: 1.06-2.02). Wearing protective equipment occasionally, rather than consistently, significantly increases the risk of NIHL ( OR=1.38, 95% CI: 1.01-1.88). There was no link between GSTP1rs1695 polymorphism and NIHL risk ( P>0.05) . Conclusion:The deletion of GSTM1 and GSTT1 genes is an independent influencing factor that increases the risk of NIHL, and can be considered as a genetic susceptibility biomarker for the NIHL population. Strengthening personal hearing protection is an effective measure to reduce the risk of NIHL.

The health-associated infection in the department of stomatology is an important issue for global public health and is closely associated with the medical quality and the health of health care workers and patients.Al-though certain progress has been achieved in the prevention and control of the health-associated infections in de-partment of stomatology,considering the diversity of influencing factors,the joint effort of the global public health institutions,medical institutions and scientific research institutions remains necessary for the effective con-trol of the hospital-associated infections.The study focuses on the current status of hospital-associated infections in department of stomatology,risk factors and progress of research on prevention and control strategies in recent years so as to formulate more effective prevention and control strategies and provide reference for better prevention and control of the infections and protection of public heath.

The health-associated infection in the department of stomatology is an important issue for global public health and is closely associated with the medical quality and the health of health care workers and patients.Al-though certain progress has been achieved in the prevention and control of the health-associated infections in de-partment of stomatology,considering the diversity of influencing factors,the joint effort of the global public health institutions,medical institutions and scientific research institutions remains necessary for the effective con-trol of the hospital-associated infections.The study focuses on the current status of hospital-associated infections in department of stomatology,risk factors and progress of research on prevention and control strategies in recent years so as to formulate more effective prevention and control strategies and provide reference for better prevention and control of the infections and protection of public heath.