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.

ObjectiveTo carry out a health technology assessment （HTA） of acupuncture for secondary dysmenorrhea （SD） caused by adenomyosis and endometriosis， in order to provide a reference for relevant medical decision-making. MethodsFrom the perspective of the health system， the assessment covers seven areas， including the technical characteristics， safety， effectiveness， economics， ethical fairness， organizational adaptability， and impact on patients and society. The results are reported accordingly. ResultsThe operational specifications of acupuncture are standardized， and the conditions for its use are clearly defined. Acupuncture has a lower overall incidence of adverse events. The main adverse events are localized pain， subcutaneous bleeding， and dizziness， with most symptoms being mild， all of which have corresponding standard treatments. No reports on occupational or environmental safety were found， and the safety operation specifications are available for reference. Compared with conventional Western medicine， acupuncture demonstrates higher effectiveness. Acupuncture may improve the quality of life scores of patients， though no significant difference was observed. The cost of acupuncture is higher than that of conventional Western medicine， but its overall economic value is greater. The informed consent information is relatively comprehensive. Most patients are aware of the potential benefits and risks of acupuncture and voluntarily opt for it. The treatment process fully respects patient privacy and human rights. The clinical application of acupuncture follows the current acupuncture medical service model， with no special requirements for the level of medical institutions. Patient accessibility and affordability are suitable. Patient satisfaction is high. Most patients indicated they would choose acupuncture again for SD. The main barriers to choosing acupuncture are psychological factors （such as fear of acupuncture）， cost， and transportation issues. Nearly 70% of patients receiving acupuncture treatment benefit from medical insurance reimbursement， with reimbursement rates generally above 50%， indicating strong social security support. ConclusionThe implementation of HTA for acupuncture in the treatment of SD， using the standards for traditional Chinese medicine （TCM）， is feasible. The implementation steps are clear， the data sources for each evaluation domain are adequate， the analysis methods are practical， and the evaluation results are comprehensive. Experts recommend that the findings be used as a reference for relevant medical decision-making.

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.

Based on the theory of toxin in The Inner Canon of Yellow Emperor （《黄帝内经》）， this paper explores the concept and connotation of toxin from several aspects， including medicinal toxicity， pathogenic toxicity， pathoge-nesis and treatment of toxin pathogen. It explores the mechanism and significance of using toxin substances in curing and inducing diseases， sorts out the etiological and pathological evolution of toxic pathogens， clarifies the derivation and differentiation process from external toxins to internal toxins， and elucidates the interactions between toxin and other pathogenic factors such as phlegm， stasis， dampness， and fire. It further distinguishes the logical hierarchy of toxin caused by metabolic disorders such as sugar， fat， and drowning， clarifies that the essence of the etiology of "hidden toxin"， and determines the corresponding treatment principles and methods for toxic pathogens. It establishes a theoretical framework of traditional Chinese medicine toxic pathogen theory， providing theoretical basis for the clinical treatment of many diseases.

Objective:To investigate the influence of changes in the cognitive load of anesthesia residents on the teaching effectiveness of high-fidelity scenario simulation.Methods:Eighty-seven anesthesia residents in a grade-A tertiary hospital from February to November 2022 were divided into groups A, B, and C according to the random number method. Three cases were selected from the anesthesia crisis resource teaching case library for high-fidelity simulation training for the three groups, respectively, using the crossover design to control the order of the cases. Each round of training consisted of pre-training instruction, simulation teaching, and post-training summarization and analysis. After three rounds of simulation teaching, cognitive load, anxiety status, test scores, and non-technical skills were evaluated for all the study participants. SPSS 20.0 was used to perform analysis of variance with repeated measures and Pearson's correlation analysis.Results:All the three groups showed significantly higher cognitive load and anxiety scores during the first-round simulation training than during the second-round and third-round simulation trianing. The test scores were significantly lower in the first round [(87.07±5.66), (88.38±5.41), (89.07±6.17)] than in the second round [(95.69±2.29), (96.10±2.08), (96.07±2.60)] and the third round [(96.34±1.45), (96.38±1.50), (96.17±1.73); all P<0.05]. The non-technical skill scores were also significantly lower in the first round [(37.24±7.58), (38.69±7.27), (39.24±8.74)] than in the second round [(46.17±5.55), (47.07±5.59), (47.59±6.74)] and the third round [(47.17±5.21), (48.48±5.38), (48.24±6.83); all P<0.05]. For simulations with the same cases, the trainees showed significantly higher cognitive load and anxiety scores and significantly lower test scores and non-technical skill scores in the first round than in the second and third rounds ( P<0.05). Conclusions:Anesthesia residents have higher levels of cognitive load and anxiety in the first scenario simulation training, which can reduce learning outcomes, and repeated simulation training can reduce trainees' cognitive load and anxiety.

Aim To investigate the role of GlyR-α3 in postoperative pain.Methods The model of postoper-ative pain was established by incision of mouse skin and muscle.Pain responses including paw withdrawal thresholds(PWTs),paw withdrawal latencies(PWLs)and licking toes time were conducted and recorded.Protein contents and tyrosine phosphorylation levels of GlyR-α3 were detected by co-immunoprecipitation and immunoblotting.Bosutinib was used to inhibit Src ki-nase activity to verify whether Src was involved in tyro-sine phosphorylation of GlyR-α3.Results The PWTs and PWLs in postoperative pain model mice were sig-nificantly reduced,whereas the licking time increased significantly.The tyrosine phosphorylation level of GlyR-α3 in the dorsal root ganglia(DRG)from inci-sion sidesignificantly increased compared with contra-lateral side,while the protein expression showed no sta-tistical significance.The expression of Src in DRGin-creased after operation,and the interaction between Src and GlyR-α3 was enhanced in ipsilateral DRG com-pared with contralateral side.Inhibition of Src kinase activity helped to reduce tyrosine phosphorylation of GlyR-α3 from DRG and alleviate postoperative pain symptoms.Conclusion Src kinase is involved in the development of postoperative pain by enhancing tyro-sine phosphorylation of GlyR-α3.

Perilla frutescens,a short-day plant,is rich in biologically active substances and nutrients.Current research on Perilla frutescens focuses on agronomic traits such as yield and fatty acid accumula-tion,with limited exploration of the flowering process and floral organ development.The molecular regu-latory mechanisms underlying these aspects remain unclear.FLOWERING LOUC T(FT)is a florigen in Arabidopsis,plays critical roles in floral transition.PfFT3 is unannotated by genome but annotated by transcriptomics data to the FT-like subfamily.Its function in controlling flowering is yet to be explored.Here subcellular localization analysis showed that PfFT3 is localized in the nucleus and cytoplasm.The plant over-expression vector pCAMBIAI1303-PfFT3 was constructed and transformed into wild-type(Col-0)and mutant fd-2,fd-3,and ft-10 plants by agrobacterium-mediated inflorescence infiltration as a means of obtaining genetically stable and pure overexpression and backfill transgenic lines in Arabidopsis,respectively.Analysis of the results showed that overexpression of PfFT3 significantly promoted early flowering in Arabidopsis and rescued the late-flowering phenotype of the mutants fd-2,fd-3,and ft-10,and that expression of the exogenous PfFT3 promoted the expression of the downstream endogenous flow-ering genes AtSOC1,AtAP1,AtFUL,and AtLFY.This study demonstrates the positive role of PfFT3 in promoting flowering,providing a foundation for further investigation of PfPEBP function and advancing the breeding of early-flowering Perilla frrutescens cultivars.

Objective:To explore the short-term efficacy on 3D printing assisted reconstruction of traumatic digit joint defects using rib and costo-osteochondral autograft.Methods:From August 2022 to July 2023, 7 patients with open digit joint defects had undergone emergency primary debridement and fracture fixation in the Department of Orthopaedics, 988th Hospital of the Joint Logistics Support Force of PLA. Patients with more phalangeal defects that could not be aligned were treated with antibiotic bone cement filling in the emergency surgery. In the second stage surgery, bone cement was removed and transfer of rib cartilage graft was performed to reconstruct the digit joint defect. According to a 1∶1 3D printed hand templates, rib cartilage grafts were crafted to the shape of digit joints, and then spliced together the digit joints and bone defects for fixation. Follow-up X-ray examinations were taken and assessment of the healing status of rib and fractures of phalangeal and metacarpophalangeal bones were carried out according to the Paley fracture healing score. At the outpatient follow-up, assessment of transferred joint movement and evaluation of upper limb function were conducted according to the Evaluation Trial Standards of Upper Limb Partial Functional of Hand Surgery of Chinese Medical Association. Visual Analogue Scale (VAS) pain scores were evaluated from the affected digits and donor sites.Results:After reconstructive surgery, all 7 patients had primary healing of the wounds of hand. One patient had fat liquefaction at the donor site, and the rest had primary donor site healing. One patient received further surgery for extensor tendon repair after rib cartilage grafting due to the digital extensor tendon injury. All 7 patients were included in postoperative follow-up for 6-11 months, with an average of 9 months. All patients had excellent fracture healing according to the Paley fracture healing score. At the final follow-up, the extension and flexion of the digit joints were found at 40°-80° (average 56.2°) for proximal interphalangeal joints (4 patients), and 10° in extension and 85° in flexion for metacarpophalangeal joint (1 patient). The range of motion of the thumb interphalangeal joint (2 patients) was 20°-35° (average 27.5°). Hand function was assessed according to Evaluation Trial Standards of Upper Limb Partial Functional of Hand Surgery of Chinese Medical Association and it was found that 3 patients were in excellent, 3 in good and 1 in fair.Conclusion:This study focused on the treatment of traumatic digit joint defects by transfer of individually crafted rib cartilages in reconstruction of the defected digit joint. It significantly improves the appearance and function of the defected digit joints, especially suitable for the irregular defects of phalangeal bones.

Objective:To analyze the distribution and drug resistance of pathogens of bacterial bloodstream infection in patients with hematological diseases in the Department of Hematology of Tianjin Medical University General Hospital, and to provide etiological data for clinical empirical anti-infection treatment.Methods:A retrospective analysis was conducted on the general clinical information, pathogenic bacteria and drug susceptibility test results of patients with hematological diseases diagnosed with bacterial bloodstream infection by menstrual blood culture in our center from January 2016 to December 2022.Results:Patients included 498 inpatients, with a total of 639 bacterial strains. Among the patients, 86.9% patients had malignancies, and 76.7% had agranulocytosis. Symptoms of concurrent infections, including those of the respiratory tract, oral mucosa, skin and soft tissues, and abdominal sources were observed in 68.3% patients. Gram-negative bacteria (G -) accounted for 79.0% of the isolated bacteria, and gram-positive bacteria (G +) accounted for 21.0%. The top five isolated pathogens were Klebsiella pneumoniae (22.5%), Escherichia coli (20.8%), Pseudomonas aeruginosa (15.0%), Enterococcus faecium (5.5%), and Stenotrophomonas maltophilum (5.0%). Escherichia coli exhibited a decreasing trend of resistance to quinolones, cephalosporins, and carbapenems. Klebsiella pneumoniae exhibited increasing rates of resistance to quinolones and cephalosporins between 2016 and 2018, but the rated decreased after 2019. The resistance rate to carbapenems exhibited by Pseudomonas aeruginosa was approximately 20%. Carbapenem-resistant strains of Pseudomonas aeruginosa strains were first detected in 2017, with a peak resistance rate of 35.7%, detected in 2019. A 60.0% resistance rate to methicillin was observed in methicillin-resistant coagulase-negative staphylococci (MRCNS), and one case of linezolid-resistant MRCNS was detected. Conclusions:Pathogenic bacteria of bacterial bloodstream infections were widely distributed in our center, and precautions are warranted against carbapenem resistant P. aeruginosa and Klebsiella pneumoniae.