Objective To prepare humanized monoclonal antibodies(Mabs)targeting Acinetobacter baumannii(Ab)based on single memory B cell sequencing technology,construct the immune repertoire of the core protein of Ab,hemolysin-coregulated protein(Hcp),and express its Mabs with binding activity.Methods E.coli BL21 harboring the recombinant plasmid pGEX-6p-1-Hcp was constructed.Hcp protein was obtained using protein expression and affinity chromatography.Female SPF BALB/c mice(6～8 weeks old,weighing 18～20 g)were immunized intramuscularly with antigen Hcp to generate specific memory B cells.Single antigen-specific memory B cells were sorted using flow cytometry.The immune repertoire of Hcp was constructed using single-cell sequencing technology,and bioinformatics analysis was performed on the sequencing results.Mabs were obtained using antibody humanization techniques.The in vitro binding activity of the antibodies was detected by ELISA.Results The target protein Hcp with a purity>95%was obtained after expression and purification.The immune repertoire of Hcp was successfully constructed,and the results of BCR clonotype identification and analysis,CDR3 region characteristic analysis,and V-J gene pairing characteristic analysis were achieved.Antibody humanization got 7 Mabs,that is,IgG1-1,IgG1-2,IgG2-1,IgG2-2,IgG3-1,IgG4-1 and IgG4-2.ELISA results showed IgG1-1,IgG3-1,IgG4-1,and IgG4-2 had an antibody binding titer of 1∶1 280,IgG2-2 of 1∶10 240,IgG2-1 of 1∶5 120,and IgG1-2 of 1∶160.Conclusion Single-cell sequencing technology enables rapid,accurate,and efficient construction of an Hcp protein immune repertoire containing extensive antibody information.Utilizing this immune repertoire allows for the expression of Mabs with binding activity.

Purpose: We used bioinformatics methods and Mendelian randomization (MR) analysis to investigate the hub genes involved in acute myeloid leukemia (AML) and their causal relationship with hemolysis, to explore a new direction for molecular biology research of AML. Methods: We first differentially analyzed peripheral blood samples from 62 healthy volunteers and 65 patients with AML from the Gene Expression Omnibus database to obtain differentially expressed genes (DEGs), and intersected them with genes sourced from weighted gene co-expression network analysis (WGCNA) and the GeneCards database to obtain target genes. Target genes were screened using protein–protein interaction (PPI) network analysis and ROC curves to identify genes associated with AML. Finally, we analyzed the correlation between genes and immune cells and the relationship between toll-like receptor 4 (TLR4) and AML using MR. Results: We compared peripheral blood expression profiles using an array of 62 healthy volunteers (GSE164191) and 65 patients with AML (GSE89565) (M0:25; M1:11; M2:10; M3:1; M4:7; M4 eo t [16;16] ou inv [16]:4; M5:6; M6:1) and obtained 7,339 DEGs (3,733 upregulated and 3,606 downregulated). We intersected these DEGs with 4,724 genes from WGCNA and 1,330 genes related to hemolysis that were identified in the GeneCards database to obtain 190 target genes. After further screening these genes using the PPI network, we identified TLR4, PTPRC, FCGR3B, STAT1, and APOE, which are closely associated with hemolysis in patients with AML. Finally, we found a causal relationship between TLR4 and AML occurrence using MR analysis (p < 0.05). Conclusion We constructed a WGCNA-based co-expression network and identified hemolysis-associated AML genes.

Objective To analyze the levels of serum CTCs and ctDNA in NSCLC patients receiving first-line EGFR-TKI treatment, and to explore the clinical value of CTCs and ctDNA detection in assessing the efficacy of treatment for advanced lung cancer. Methods A total of 109 NSCLC patients receiving first-line EGFR-TKI treatment were enrolled. Serum tumor markers CEA, CTCs, and ctDNA were detected at baseline and after one month of treatment. Chest CT scans were performed, and treatment efficacy was evaluated based on RECIST1.1 criteria. CTCs were counted by enrichment-staining-computational algorithm to analyze malignant features, while ctDNA was assessed using digital PCR. Results Survival rate was low in patients with abnormal CEA and ctDNA tests at baseline and in patients with reduced serum CTCs after treatment. In the SD subgroup of patients with brain metastases and advanced stage, the PFS benefit was low. Conclusion Patients in the SD subgroup have significantly higher recurrence risks than those in the PR or CR subgroups. Therefore, CTC and ctDNA testing should be applied to patients in the SD subgroup to identify high-risk patients with poor response to EGFR-TKI treatment, intervene with additional treatment promptly, and obtain long progression-free survival.

Purpose: We used bioinformatics methods and Mendelian randomization (MR) analysis to investigate the hub genes involved in acute myeloid leukemia (AML) and their causal relationship with hemolysis, to explore a new direction for molecular biology research of AML. Methods: We first differentially analyzed peripheral blood samples from 62 healthy volunteers and 65 patients with AML from the Gene Expression Omnibus database to obtain differentially expressed genes (DEGs), and intersected them with genes sourced from weighted gene co-expression network analysis (WGCNA) and the GeneCards database to obtain target genes. Target genes were screened using protein–protein interaction (PPI) network analysis and ROC curves to identify genes associated with AML. Finally, we analyzed the correlation between genes and immune cells and the relationship between toll-like receptor 4 (TLR4) and AML using MR. Results: We compared peripheral blood expression profiles using an array of 62 healthy volunteers (GSE164191) and 65 patients with AML (GSE89565) (M0:25; M1:11; M2:10; M3:1; M4:7; M4 eo t [16;16] ou inv [16]:4; M5:6; M6:1) and obtained 7,339 DEGs (3,733 upregulated and 3,606 downregulated). We intersected these DEGs with 4,724 genes from WGCNA and 1,330 genes related to hemolysis that were identified in the GeneCards database to obtain 190 target genes. After further screening these genes using the PPI network, we identified TLR4, PTPRC, FCGR3B, STAT1, and APOE, which are closely associated with hemolysis in patients with AML. Finally, we found a causal relationship between TLR4 and AML occurrence using MR analysis (p < 0.05). Conclusion We constructed a WGCNA-based co-expression network and identified hemolysis-associated AML genes.

Purpose: We used bioinformatics methods and Mendelian randomization (MR) analysis to investigate the hub genes involved in acute myeloid leukemia (AML) and their causal relationship with hemolysis, to explore a new direction for molecular biology research of AML. Methods: We first differentially analyzed peripheral blood samples from 62 healthy volunteers and 65 patients with AML from the Gene Expression Omnibus database to obtain differentially expressed genes (DEGs), and intersected them with genes sourced from weighted gene co-expression network analysis (WGCNA) and the GeneCards database to obtain target genes. Target genes were screened using protein–protein interaction (PPI) network analysis and ROC curves to identify genes associated with AML. Finally, we analyzed the correlation between genes and immune cells and the relationship between toll-like receptor 4 (TLR4) and AML using MR. Results: We compared peripheral blood expression profiles using an array of 62 healthy volunteers (GSE164191) and 65 patients with AML (GSE89565) (M0:25; M1:11; M2:10; M3:1; M4:7; M4 eo t [16;16] ou inv [16]:4; M5:6; M6:1) and obtained 7,339 DEGs (3,733 upregulated and 3,606 downregulated). We intersected these DEGs with 4,724 genes from WGCNA and 1,330 genes related to hemolysis that were identified in the GeneCards database to obtain 190 target genes. After further screening these genes using the PPI network, we identified TLR4, PTPRC, FCGR3B, STAT1, and APOE, which are closely associated with hemolysis in patients with AML. Finally, we found a causal relationship between TLR4 and AML occurrence using MR analysis (p < 0.05). Conclusion We constructed a WGCNA-based co-expression network and identified hemolysis-associated AML genes.

Objective: To retrospectively compare the impact of different intraoperative transfusion strategies for platelets and cryoprecipitate on perioperative blood usage and clinical outcomes in patients undergoing orthotopic heart transplant (OHT), thereby providing a reference for perioperative patient blood management. Methods: The clinical data of 65 patients who had undergone OHT at our hospital between 2020 and 2025 were retrospective collected. Patient demographics, underlying chronic conditions, and perioperative (preoperative, intraoperative, and postoperative) laboratory blood test results were analyzed. The transfusion volumes of intraoperative red blood cells, plasma, platelets, and cryoprecipitate were examined. Univariate and multivariate logistic regression models were employed to identify factors associated with perioperative outcomes. Results: A total of 65 patients received allogeneic blood transfusion during the perioperative period. The ultilization of intraoperative platelets and cryoprecipitate was as follows: simultaneous transfusion of both platelets and cryoprecipitate (at a 1∶1 ratio) was administered in 42 patients (64.62%), platelets alone in 12 patients (18.46%), and cryoprecipitate alone in 11 patients (16.92%). Patients who received simultaneous transfusion of platelets and cryoprecipitate (1∶1) (n=42) had a shorter ICU length of stay (32.45±10.18 d), while those who received either platelets or cryoprecipitate alone (n=23) had a significantly longer ICU length of stay (68±15.97 d). Patients receiving simultaneous intraoperative transfusion of platelets and cryoprecipitate also required fewer units of allogeneic red blood cells intraoperatively (median=4 units) and had a lower mortality rate (16.7%) than those receiving either product alone (26.1%), with a statistically significant difference (P=0.023). Multivariate logistic regression analysis indicated that the volume of cryoprecipitate transfused was an independent protective factor against postoperative allogeneic red blood cell transfusion (OR=0.344, 95% CI [0.177, 0.829], P=0.0159). Multivariate logistic regression also identified cryoprecipitate transfusion volume as an independent protective factor for ICU length of stay (OR=0.877, 95% CI [0.719, 0.986], P=0.0008), which was in line with the multivariate Cox regression results. Conclusion: In patients undergoing OHT, the intraoperative transfusion strategy for platelets and cryoprecipitate influences the volume of perioperative allogeneic red blood cell transfusion and patient mortality. Intraoperative cryoprecipitate transfusion volume is an independent protective factor against both postoperative allogeneic red blood cell transfusion and prolonged ICU length of stay. The establishment of a multidisciplinary collaborative blood management model, combined with the modification of perioperative blood utilization practices and the implementation of a comprehensive patient blood management strategy, can holistically ensure perioperative patient safety.

Objective: To evaluate the safety and efficacy of the emergency infusion protocol for universal red blood cells by analyzing its clinical application in patients treated at our hospital's war trauma and emergency center. Methods: Data were collected from 133 patients who received universal red blood cell transfusion in the war trauma center of our hospital from January 2016 to December 2024. The basic information, universal red blood cell transfusion volume, compatible blood components, transfusion volume, blood routine (Hb, Hct), liver and kidney function (ALT, AST, TBil, DBil, creatinine, etc.) and coagulation function (PT, APTT, Fib, etc.) before and after transfusion were retrospectively analyzed. Results: Among the 133 patients who received a total of 374 units of universal red blood cells, the 24-hour survival rate was 62.4% (83/133). Spearman correlation analysis showed a positive correlation between shock index and universal red blood cell transfusion volume (r=0.283, P<0.05). Patients were stratified by universal red blood cell transfusion volume (≤ 3 U vs ≥ 4 U). The low volume group had less homotypic red blood cell transfusion volume and total transfusion volume at different time points, and the difference was statistically significant: within 2 h [2(2, 4)vs 4(3, 7), P=0.033<0.05], 0~24 h [6(4, 9) vs 8(6, 14), P=0.028<0.05], total transfusion volume [13(8, 20)vs 19(12, 35), P=0.021<0.05]. No acute hemolytic transfusion reaction occurred within 24 hours after transfusion of universal red blood cell. Conclusion: Universal red blood cells are safe for use in emergency treatment. Furthermore, the shock index combined with the volume of universal red blood cells transfused can predict subsequent transfusion requirements and enables the early reservation of compatible blood, thereby preventing delayed resuscitation.

OBJECTIVE: To evaluate the clinical efficacy and safety of clavicular anatomical plate in the treatment of clavicular Allmanic fracture. METHODS: Between January 2016 and December 2022, 27 patients with Allman ⅡC distal clavicle fractures were treated with clavicular anatomical plate. There were 19 males and 8 females, aged from 16 to 69 years old, with an average of (39.74±12.71) years old. There were 15 patients on the left side and 12 patients on the right side. There were 15 patients with single clavicle fracture and 12 patients complicated with other parts of the body or organ injury. The broken ends of the fractures were fixed with clavicular anatomical plate, including common compression clavicular anatomical plate in 19 patients and locking clavicular anatomical plate in 8 patients. The operation time and hospitalization days were recorded. Visual analogue scales (VAS) were utilized to assess subjective pain levels both preoperatively and 3 days postoperatively. Postoperatively, patients were monitored at intervals of 1 to 3 months until X-ray films confirmed fracture healing. In accordance with the University of California, Los Angeles (UCLA) shoulder rating system, evaluations were conducted on postoperative pain alleviation, functional recovery, range of motion in forward flexion, strength in forward flexion, and patient satisfaction. RESULTS: All patients were followed up for a period ranging from 12 to 18 months with an average of (14.70±1.61) months, and all clavicular fractures achieved successful union. The wounds of 24 patients healed in one stage, and 3 patients developed bleeding and exudation, they were cured after dressing change. There were no complications such as infection, plate and screw fracture, vascular and nerve injury. The operation time was(67.56±11.01) min. Significant differences were observed in pain relief, functional improvement, range of motion for forward flexion, strength of forward flexion, patient satisfaction, and overall scores at preoperative, 3 months postoperatively, 6 months postoperatively, and at the final follow-up(P<0.001). CONCLUSION The utilization of clavicular anatomical plates for the management of Allman typeⅡC fractures can provide early and stable fixation without compromising the acromioclavicular joint, thereby enabling patients to commence early mobilization and ensuring optimal fracture healing.
Humans ; Male ; Female ; Clavicle/surgery* ; Adult ; Bone Plates ; Middle Aged ; Fractures, Bone/physiopathology* ; Adolescent ; Aged ; Fracture Fixation, Internal/instrumentation* ; Young Adult

Recent studies have revealed a significant association between Porphyromonas gingivalis(P.gingivalis)infection and poor prognosis in esophageal squamous cell carcinoma(ESCC).Although cer-tain circular RNAs(circRNA)have been shown to suppress ESCC tumorigenesis and progression,their regulatory mechanisms in P.gingivalis infection-associated ESCC remain elusive.In this study,RT-qPCR analysis demonstrated that P.gingivalis infection downregulated hsa_circ_0057552 expression in ESCC cells and tissues in a time-and dose-dependent manner.Actinomycin D assays further confirmed that P.gingivalis infection reduced the RNA stability of hsa_circ_0057552 in ESCC cells(P＜0.05).Functional assays in vitro and a subcutaneous tumor xenograft model in vivo revealed that hsa_circ_0057552 overexpression significantly inhibited ESCC cell proliferation,migration,invasion,and tumor growth(P＜0.05).Additionally,PCR array screening combined with RT-qPCR and Western blotting in-dicated that P.gingivalis infection markedly upregulated human antigen R(HuR)expression at both RNA and protein levels(P＜0.05).Mechanistic investigations demonstrated that HuR knockdown signifi-cantly increased hsa_circ_0057552 expression(P＜0.01),whereas hsa_circ_0057552 overexpression had no regulatory effect on HuR.Finally,si-HuR treatment reversed the inhibitory effect of P.gingivalis on hsa_circ_0057552 transcription.This study demonstrated that P.gingivalis may promote the progression of ESCC through a novel mechanism involving the regulation of HuR/hsa_circ_0057552,thereby identif-ying a novel therapeutic target and molecular marker for P.gingivalis-associated ESCC.

Objective To summarize the potential risk factors that may arise in the national drug sampling and testing inspection process in recent years,to focuse on the operation of the quality management system,and to put forward proposals on how to do a good job under the new drug regulatory model of sampling and testing work.Methods Focusing on the investigation of data integrity and authenticity,the analysis focuses on the analysis of risk points such as reagent management,standard substance management,instrument,and facility management,electronic data management and other issues,and carries out a comprehensive verification of the effectiveness of the operation of the quality management system and so on.Results National drug sampling and testing institutes should strengthen the overall quality management,according to the operation of the laboratory,combined with their respective risk characteristics,reagent management,standard substance management,instrument and facility management,electronic data management and other aspects of the risk of systematic sorting and the establishment of the risk alert function,the development of risk warning lists,and the implementation of the corresponding risk control strategy.Conclusion National drug sampling and testing institutes must strengthen the operation of the process of influencing factors in the effective control of the emphasis on the testing of the work of the key control points and continue to standardize and improve the inspection process of the quality system to ensure that the quality of the various activities in a controlled state.