Objective To evaluate the effect of a multidisciplinary collaborative quality control management (hereinafter referred to as "QC management") on improving the performance of biological safety cabinets in hospital. Methods A total of 63 ClassⅡbiological safety cabinets in active use at Peking University Third Hospital were selected as the study subjects using the before-after study mode. Conventional management was implemented on the biological safety cabinets from 2018 to 2021. QC management was used in 2022. The compliance of biological safety cabinets management norm and performance differences under the two models were compared. Results The median and the 25th and 75th percentiles [M(P₂₅, P₇₅)] of the service life among these 63 biological safety cabinets were 3 (1,6) years. The overall performance pass rate and inflow velocity pass rate of biological safety cabinets were higher in the QC management than that in the conventional management (90.5% vs 65.1%, 96.8% vs 84.1%, both P<0.05). However, there was no significant difference in downflow velocity, high-efficiency particulate air filter integrity, cleanliness, airflow smoke pattern, noise, and illumination pass rates of biosafety cabinets before and after the implementation of QC management (79.4% vs 88.9%, 90.5% vs 100.0%, 96.8% vs 100.0%, 85.7% vs 100.0%, 100.0% vs 100.0%, and 85.7% vs 96.8%, respectively; all P>0.05). Conclusion sQC management improves the standardization of biological safety cabinet management and key performance indicators in hospital.

Rheumatoid arthritis (RA) is a chronic autoimmune disease characterized by persistent inflammation and joint damage, accompanied by the accumulation of plasma cells, which contributes to its pathogenesis. Understanding the genetic alterations occurring during plasma cell differentiation in RA can deepen our comprehension of its pathogenesis and guide the development of targeted therapeutic interventions. Here, our study elucidates the intricate molecular mechanisms underlying plasma cell differentiation by demonstrating that PRDX1 interacts with DOK3 and modulates its degradation by the autophagy-lysosome pathway. This interaction results in the inhibition of plasma cell differentiation, thereby alleviating the progression of collagen-induced arthritis. Additionally, our investigation identifies Salvianolic acid B (SAB) as a potent small molecular glue-like compound that enhances the interaction between PRDX1 and DOK3, consequently impeding the progression of collagen-induced arthritis by inhibiting plasma cell differentiation. Collectively, these findings underscore the therapeutic potential of developing chemical stabilizers for the PRDX1-DOK3 complex in suppressing plasma cell differentiation for RA treatment and establish a theoretical basis for targeting PRDX1-protein interactions as specific therapeutic targets in various diseases.

Objective To investigate the synergistic therapeutic effects of HER2 antibody-drug conjugate(HER2-ADC)combined with anti-PD-1 antibody(anti-PD-1)on HER2-expressing bladder cancer and elucidate its regulatory mechanisms on the tumor immune microenvironment.Methods Orthotopic tumor models were established in 40 female C57BL/6 mice(6～8 weeks old,body mass 18～22 g)using MB49 bladder cancer cells overexpressing human HER2.When tumors reached 100 mm3,the mice were randomized into(n=10)control(intraperitoneal injection of 1.0 mL PBS),anti-PD-1(200 μg per mouse every 3 d),HER2-ADC(2.5 mg/kg once weekly),and combination groups(same regimens as above monotherapy).Tumor volume and body mass were measured every 3 d during 28-day treatment.Tumor growth kinetics and survival rates were analyzed.Post-treatment survival was monitored until natural death to determine median survival time(n=5).At day 28,blood and tumor samples(n=5)were collected to detect myeloid-derived suppressor cells(MDSCs;CD11b?Gr1?)and regulatory T cells(Tregs;CD4?CD25?FOXP3?)with flow cytometry,tumor-infiltrating CD3?T,CD8?T,and FOXP3?T cells with immunohistochemical assasy,and liver/kidney functions[alanine aminotransferase(ALT),aspartate aminotransferase(AST),blood urea nitrogen(BUN),creatinine(CRE)]and tissue damage indicators[lactate dehydrogenase isoenzyme(LDH-L)].Results In 28 d after treatment,the combination group obtained significantly smallest tumor volume than the control group and the 2 monotherapy groups(all P<0.01).The longest median survival was observed in the combination group(65 d,P<0.01),followed by the HER2-ADC group(55 d),anti-PD-1 group(53 d)and control group(41 d).After 28 d of treatment,the combination group exhibited obviously the smallest peripheral proportions of MDSCs/Tregs,most tumor-infiltrating CD3?T/CD8?T cells,and less FOXP3?T cells when compared with the 2 monotherapy groups and control group(all P<0.05).While,the 2 monotherapy groups had smaller MDSCs/Tregs proportions than the control group(P<0.05).No significant differences were observed among the 4 groups in serum ALT,AST,BUN,CRE,or LDH-L levels,and all of them were within normal ranges.Conclusion HER2-ADC combined with anti-PD-1 suppresses the growth of orthotopic bladder tumor,probably through their synergic effects on down-regulating MDSCs/Treg and enhancing CD8?T cell infiltration.

Objective:To quantify thoracic and abdominal movements during breathing using inertial measurement units (IMUs) and to build a machine learning model which identifies the abdominal breathing (AB) pattern.Methods:Ten rehabilitation therapists formed the study′s professional group, while 15 patients receiving AB training comprised the validation group. Two synchronized IMUs were applied to capture breathing motions during natural breathing (NB), deep breathing (DB) and AB. Six kinematic features were extracted from each respiratory cycle, and inter-group and inter-pattern differences were analyzed. Correlation analysis was also performed with manually measured changes in thoracic and abdominal circumferences. A support vector classification model for AB pattern detection was then developed using data from the professional and validation groups.Results:A total of 1113 respiratory cycles were extracted and analyzed. The breathing pattern significantly influenced all of the kinematic features studied (0.21≤partial η 2≤0.65, all P≤0.001). The ranges of the angles in medial-lateral axis of the IMUs showed strong correlation with the changes in abdominal and thoracic circumferences (ρ1=0.928, ρ2=0.807, P≤0.001 in both cases). A greater range of abdominal angles was found during AB compared to the other patterns. The best of the models achieved an F1 score of 0.970 (sensitivity: 0.983, specificity: 0.980) in validation. Conclusions:AB generates the greatest abdominal movement. Combining IMUs and machine learning can provide real-time quantification of chest movement and accurate detection of AB during breathing training.

Natural antimicrobial peptides (AMPs) are promising candidates for the development of a new generation of antimicrobials to combat antibiotic-resistant pathogens. They have found extensive applications in the fields of medicine, food, and agriculture. However, efficiently screening AMPs from natural sources poses several challenges, including low efficiency and high antibiotic resistance. This review focuses on the action mechanisms of AMPs, both through membrane and non-membrane routes. We thoroughly examine various highly efficient AMP screening methods, including whole-bacterial adsorption binding, cell membrane chromatography (CMC), phospholipid membrane chromatography binding, membrane-mediated capillary electrophoresis (CE), colorimetric assays, thin layer chromatography (TLC), fluorescence-based screening, genetic sequencing-based analysis, computational mining of AMP databases, and virtual screening methods. Additionally, we discuss potential developmental applications for enhancing the efficiency of AMP discovery. This review provides a comprehensive framework for identifying AMPs within complex natural product systems.

The aim of this study is to explore the immunogenicity of African swine fever virus p37 recombinant protein in mice.C57BL/6J mice were immunized subcutaneously in the abdomen using p37 recombinant protein as antigen.The second immunization was performed 21 d after the first immunization.Serum-specific antibody levels were detected by ELISA;serum cytokine levels were detected using a multifactor assay technique;mice splenic lymphocytes were isolated 7 d after sec-ondary immunization,and the number of splenic lymphocytes secreting IFN-γ after recombinant protein stimulation was detected by ELISpot;and the ratio of CD4+T cells to CD8+T cells was detected by flow cytometry.The results of indirect ELISA showed that p37 recombinant protein could stimulate mice to produce high levels of specific antibodies;ELISpot showed that p37 recom-binant protein could significantly stimulate splenic lymphocytes to produce IFN-γ(P＜0.001)and activate cellular immune responses;the results of flow cytometry showed that it could signifi-cantly stimulate the differentiation of T-lymphocytes to CD4+T-lymphocytes(P＜0.001).In ad-dition,serum levels of IL-2,IL-4,IFN-γ,and TNF-α immune-related cytokines were significantly higher after the second immunization.Immunization of mice with p37 recombinant protein induced strong humoral and cellular immune responses with good immunogenicity,providing reference for the subsequent epitope identification and functional study of p37 protein and the antigen screening of ASF mRNA vaccine.

Objective To investigate the application effect of biofeedback electrical stimulation combined with Kegel exercises using vaginal dumbbell in pelvic floor muscle strength rehabilitation of patients with postpartum pelvic floor dysfunction(PFD).Methods A prospective study was conducted on 70 PFD patients who were divided into control group(n=34)and combined group(n=36)according to random numbers generated by Excel.Control group received Kegel exercises using vaginal dumbbell,while combined group was given biofeedback electrical stimulation on this basis.Both groups underwent 3 months of continuous treatment.GRRUG method was adopted to assess pelvic floor muscle strength after treatment;a low-frequency neuromuscular stimulation therapy device was used to detect the pelvic floor muscle fiber electromyography value and fatigue value;and female sexual function index(FSFI)was utilized to evaluate the quality of sexual life.The pelvic floor function impairments in two groups were also recorded and compared.Results After treatment,compared with control group,combined group had greater proportions of above grade Ⅲ muscle strength of class Ⅰ and class Ⅱ muscle fibers(P<0.05),higher mean pelvic floor electromyography values of class Ⅰ and class Ⅱ muscle fibers(P<0.05),and lower fatigue value of pelvic floor muscle(P<0.05).In addition,combined group had higher FSFI scores for sexual desire,sexual arousal,vaginal lubrication,orgasm,satisfaction and dyspareunia,and the total score than control group(P<0.05),and the incidence rates of frequent and urgent urination,lumbosacral pain,and vaginal relaxation were lower in combined group as compared with control group(P<0.05).Conclusion The combination of biofeedback electrical stimulation and Kegel exercises using vaginal dumbbell in the treatment of patients with postpartum PFD can significantly improve pelvic floor muscle strength,alleviate symptoms such as frequent and urgent urination,lumbosacral pain and vaginal relaxation,and improve the quality of sexual life.

Objective:To analyze the relationship between clinical symptoms，BIG score，laboratory examination and the prognosis of children with moderate to severe traumatic brain injury (TBI)，to determine the indicators associated with poor prognosis，in order to make early judgment for the prognosis of children with moderate to severe TBI.Methods:A total of 78 children with moderate to severe TBI were enrolled in the PICU of Jiangxi Provincial Children's Hospital from January 2022 to January 2023. Clinical data，laboratory tests，BIG scores and Glasgow prognostic score were collected upon admission. The patients were followed up for 6 months and divided into poor prognosis group（Glasgow prognostic score1-3）and good prognosis group（Glasgow prognostic score4-5）based on the Glasgow prognostic score. The indicators related to poor prognosis were selected，and the efficacy of the indicators to predict the prognosis was analyzed and compared.Results:There were statistical differences among BIG score，hemoglobin，lactic acid，glucose，respiratory failure，and hypotension shock（ P<0.05）. The BIG score was an independent risk factor for a poor prognosis. The BIG score had the highest AUC value（0.820）among the four indices. The combined indices（BIG score，hemoglobin，lactic acid，glucose）had the highest AUC value（0.851）and had better performance for predicting the prognosis of moderate to severe TBI in children than any of the four indexs alone. Conclusion:The BIG score can be an independent predictor of early outcome in children with moderate to severe TBI. The combination of BIG score，hemoglobin，lactic acid，and glucose has better performance for predicting the prognosis of moderate to severe TBI in children than any of the four indices alone.

Natural antimicrobial peptides(AMPs)are promising candidates for the development of a new gener-ation of antimicrobials to combat antibiotic-resistant pathogens.They have found extensive applications in the fields of medicine,food,and agriculture.However,efficiently screening AMPs from natural sources poses several challenges,including low efficiency and high antibiotic resistance.This review focuses on the action mechanisms of AMPs,both through membrane and non-membrane routes.We thoroughly examine various highly efficient AMP screening methods,including whole-bacterial adsorption binding,cell membrane chromatography(CMC),phospholipid membrane chromatography binding,membrane-mediated capillary electrophoresis(CE),colorimetric assays,thin layer chromatography(TLC),fluorescence-based screening,genetic sequencing-based analysis,computational mining of AMP data-bases,and virtual screening methods.Additionally,we discuss potential developmental applications for enhancing the efficiency of AMP discovery.This review provides a comprehensive framework for identifying AMPs within complex natural product systems.