[Objective] To conduct serological identification and molecular mechanism study on a ambiguous ABO blood group. [Methods] Standard serological techniques were used for the forward and reverse typing of ABO blood type. ABO gene coding and regulatory regions were analyzed by PCR after DNA extraction. Monoclonal sequencing was used to detect the haplotypes of the DNA sequence, and bioinformatics analysis was applied to predict the possible translation outcomes of the mutated DNA sequence. [Results] The sample’s red blood cells showed mixed field agglutination with anti-A, and the serum agglutinated with B cells, exhibiting serological characteristics of subtype A. Direct sequencing and monoclonal sequencing analysis of the ABO gene confirmed one allele as O02, the other had a c.27delC mutation compared with A102, which could cause the translation sequence to terminate prematurely at the 19th amino acids. Analysis and prediction suggested that the mutation might affect the function of the transferase through mechanisms such as shifting the initiation codon, altering the reading frame and affecting the splice sites. [Conclusion] This case is a rare A subtype caused by the c.27delC variation, and the impact on the glycosyltransferase may involve multiple mechanisms, which require further research and exploration.

Single-cell metabolite analysis at the small molecule level reveals intercellular heterogeneity and molecular diversity,especially living cell metabolite analysis which can provide more accurate biochemical information.In this study,a comprehensive single-cell metabolomics mass spectrometry analysis platform was constructed based on continuous ultrasonic sample introduction,aiming to improve the utilization rate of single cells and the efficiency of mass spectrometry detection.This platform utilized mechanical motion generated by a miniaturized ultrasound module,which minimally affected cell integrity and viability,enabling cell suspension and dispersion for up to 60 min,with cell viability exceeding 70%.By comparing cell suspension densities and the cell number of mass spectrometry detections between static and ultrasound groups,the results showed that the ultrasound treatment significantly reduced cell sedimentation rate and increased single-cell mass spectrometry detection efficiency.Applying this platform to single-cell analysis of cell line of mouse cerebellar astrocytes(C8D1A)and mouse glioma(GL261)cells achieved clustering and differential analysis of different cell types,demonstrating the method's potential in analyzing cellular heterogeneity and identifying cells.This approach promised to provide new insights and solutions for single-cell analysis.

OBJECTIVE: miR-34c-3p is down-regulated in nasopharyngeal carcinoma (NPC). The biological role of miR-34c-3p in NPC and its underlying mechanisms are unknown and were explored in this study. METHODS: Flow cytometry and immunohistochemical staining were employed to detect cluster of differentiation 86 (CD86) and cluster of differentiation 206 (CD206) expression; quantitative real-time polymerase chain reaction (qRT-PCR) and western blotting were employed to examine mRNA expression and protein levels; cell counting kit-8 (CCK8) and transwell assays were employed to assess cell proliferation, migration, and invasion; and hematoxylin-eosin (HE) staining was employed to assess pathological changes in tumor tissues. RESULTS: Our results revealed that the miR-34c-3p mimic markedly inhibited M2 polarization of macrophages by targeting SLC7A11, and M2 macrophages transfected with the miR-34c-3p mimic inhibited the proliferation, migration, and invasion of NPC cells. The in vivo experiments further confirmed that miR-34c-3p mimics blocked tumor growth and reduced inflammatory infiltration in tumor tissues. CONCLUSION This study provides novel insights into the pathogenesis of NPC and a new treatment strategy.
MicroRNAs/metabolism* ; Nasopharyngeal Carcinoma/genetics* ; Humans ; Animals ; Nasopharyngeal Neoplasms/genetics* ; Macrophages/physiology* ; Cell Line, Tumor ; Mice ; Cell Proliferation ; Mice, Inbred BALB C ; Cell Movement ; Male ; Gene Expression Regulation, Neoplastic ; Mice, Nude ; Female

Objective To cultivate the ability of laboratory resident physicians in multiple aspects and enhance their post-competence for laboratory medicine.Methods The residents recruited into the Cancer Hospital of China Academy of Medical Sciences Laboratory Base were divided into junior residents and senior residents.According to the different training contents and objectives,the exploration of the hierarchically progressive training model was carried out,which mainly included three aspects:training plan,process training and process assessment.Results After the implementation of the hierarchical progressive training model,the average theoretical score and the average score in the skill operation examination of the residents increased to over 90 and 95,respectively.Meanwhile,the comprehensive clinical ability was also improved.Breakthroughs of teaching,scientific research and honor were achieved from"nothing"before the implementation to"something"after the implementation,and it actively promoted the improvement of the post-competency of the residents in laboratory medicine.Conclusion The application of the hierarchically progressive training mode in standardized training of residents in laboratory medicine could play a good role in promoting the training of post-competence for residents.

This study was aimed at analyzing the clinical and laboratory characteristics of patients with Listeria monocyto-genes bacteremia,to provide evidence for its diagnosis and treatment.A retrospective analysis was conducted on the clinical data for patients with L.monocytogenes bacteremia at Tangdu Hospital between September 2012 and April 2022.The data included age,sex,underlying diseases,treatments,and prognosis.Changes in indicators such as white blood cell(WBC)count,mono-cyte percentage,neutrophil percentage,monocyte/neutrophil ratio(M/N),C-reactive protein(CRP),and procalcitonin before and after treatment were statistically analyzed.Among the 32 patients with L.monocytogenes bacteremia,the average age was 31.9 years,and three patients were older than 65 years.The incidence rate was highest in summer(11 patients,34.4％),fol-lowed by spring(9 patients,28.1％).A total of 24 patients(75.0％)had underlying diseases.After accurate diagnosis,the treatment plans of 29 patients were adjusted to target antibacterial therapy consisting primarily of penicillins(17 patients,53.1％)and carbapenems(12 patients,37.5％).After treatment,the levels of neutrophils,lymphocytes,and CRP were signifi-cantly lower than those before treatment(P＜0.05).A total of 29 patients(90.6％)improved and were discharged,one patient died,and two patients had poor prognosis.The primary risk factors for L.monocytogenes infection were autoimmune diseases,tumors,and pregnancy.Penicillin was the first choice effective empirical treatment for listeriosis.A clear diagnosis of the pathogen and appropriate choice of antibiotics were particularly important for the treatment of L.monocytogenes infection.

Objective:To compare the prognostic value of two predictive models based on C-reactive protein(CRP)and albumin(ALB),namely the CRP to ALB ratio(CAR)and the Glasgow prognostic score(GPS),in newly diagnosed patients with diffuse large B-cell lymphoma(DLBCL).Methods:The data of newly diagnosed DLBCL patients admitted to our center from May 2014 to January 2022 were reviewed.A total of 111 patients who completed at least 4 cycles of R-CHOP or R-CHOP-like chemotherapy with detailed clinical,laboratory data and follow-up information were included.The receiver operating characteristic(ROC)curve was performed to evaluate the predictive value of pre-treatment CAR on disease progression and survival.Furthermore,the association between CAR and baseline clinical,laboratory characteristics of patients was evaluated,and progression-free survival(PFS)and overall survival(OS)were compared between different CAR and GPS subgroups.Finally,the univariate and multivariate COX propor-tional hazard regression models were used to analyze the factors affecting disease outcomes.Results:ROC curve showed that the area under the curve(AUC)of CAR predicting PFS and OS in DLBCL patients was 0.687(P=0.002)and 0.695(P=0.005),respectively,with the optimal cut-off value of 0.11 for both predicting PFS and OS.Compared with the lower CAR(＜0.11)group,the higher CAR(≥0.11)group had more clinical risk factors,including age＞60 years(P=0.025),ECOG score ≥2(P=0.004),Lugano stage Ⅲ-Ⅳ(P＜0.001),non-germinal center B-cell-like(non-GCB)subtype(P=0.035),elevated lactate dehydrogenase(LDH)(P＜0.001),extranodal involved site＞1(P=0.004)and IPI score＞2(P＜0.001).The interim response evaluation of patients showed that the overall response rate(ORR)and complete response rate(CRR)in the lower CAR group were both significantly better than those in the higher CAR group(ORR:96.9％vs 80.0％,P=0.035;CRR:63.6％vs 32.5％,P=0.008).With a median follow-up of 24 months,patients with lower CAR had significantly longer median PFS and OS than those with higher CAR(median PFS:not reached vs 67 months,P=0.0026;median OS:not reached vs 67 months,P=0.002),while there was no statistical difference in PFS(P=0.11)and OS(P=0.11)in patients with GPS of 0,1,and 2.Multivariate Cox regression analysis indicated that only sex(male)and IPI score＞2 were independent risk factors for both PFS and OS.Conclusion:CAR is significantly correlated with disease progression and survival in DLBCL patients;And compared with GPS,CAR has more advantages in predicting disease outcomes in DLBCL patients.

Objective:To compare the efficacy and safety of flumatinib (FM)and imatinib (IM)as first-line treatment in newly-diagnosed patients with chronic myeloid leukemia in chronic phase (CML-CP ) in real world. Methods:A total of 84 newly-diagnosed CP-CML patients in our center from December 2019 to December 2022 were retrospectively analyzed.Among them,32 cases received FM as first-line treatment,and 52 cases received IM. Molecular response (MR),disease progression,survival and incidence of adverse events (AEs)were compared between the two groups.Results:At 3 months of treatment,the incidences of early molecular response (EMR ),MR2.0 and MR3.0 were 96.7％,70.0％ and 20.0％ in FM group,respectively,which were significantly higher than 77.1％,29. 2％ and 0 in IM group (all P<0.05 ).At 6,9 and 12 months of treatment,the incidences of major molecular response (MMR)in FM group were 68.2％,85.7％ and 90.0％,respectively,which were significantly higher than 22.9％,34.0％ and 51.1％ in IM group (all P<0.01).The median time to achieve MMR in FM group was 6(6-9)months,which was significantly shorter than 18(12-22)months in IM group (P<0.001 ).The 3-year progression-free survival rate and 3-year event-free survival rate in FM group were 100％ and 68.8％,respectively,while in IM group were 98.1％ and 55.8％.There were no significant differences between the two groups (P>0.05). The incidence of grade 3-4 hematologic AEs in FM group was 21 .9％,which was slightly lower than 25.0％ in IM group,but the difference was not significant (P>0.05 ).Conclusion:In real clinical practice,FM as first-line treatment achieves MMR earlier than IM,and exhibits good safety profile in newly-diagnosed CML-CP patients,which potentially leads to improved long-term survival and treatment-free remission.

Objective To establish the pharmacokinetic model of linezolid in neonates,and to optimize the administration regimen. Methods A prospective study was conducted among 64 neonates with sepsis who received linezolid as anti-infective therapy,and liquid chromatography-tandem mass spectrometry was used to measure the plasma concentration of the drug. Clinical data were collected,and nonlinear mixed effects modeling was used to establish a population pharmacokinetic (PPK) model. Monte Carlo simulation and evaluation was performed for the optimal administration regimen of children with different features. Results The pharmacokinetic properties of linezolid in neonates could be described by a single-compartment model with primary elimination,and the population typical values for apparent volume of distribution and clearance rate were 0.79 L and 0.34 L/h,respectively. The results of goodness of fit,visualization verification,and the Bootstrap method showed that the model was robust with reliable results of parameter estimation and prediction. Monte Carlo simulation results showed that the optimal administration regimen for linezolid in neonates was as follows:6 mg/kg,q8h,at 28 weeks of gestational age (GA);8 mg/kg,q8h,at 32 weeks of GA;9 mg/kg,q8h,at 34-37 weeks of GA;11 mg/kg,q8h,at 40 weeks of GA. Conclusions The PPK model established in this study can provide a reference for individual administration of linezolid in neonates. GA and body weight at the time of administration are significant influencing factors for the clearance rate of linezolid in neonates.

Background/Aims: Chronic hepatitis C (CHC) patients who failed antiviral therapy are at increased risk for hepatocellular carcinoma (HCC). This study assessed the potential role of metformin and statins, medications for diabetes mellitus (DM) and hyperlipidemia (HLP), in reducing HCC risk among these patients. Methods: We included CHC patients from the T-COACH study who failed antiviral therapy. We tracked the onset of HCC 1.5 years post-therapy by linking to Taiwan’s cancer registry data from 2003 to 2019. We accounted for death and liver transplantation as competing risks and employed Gray’s cumulative incidence and Cox subdistribution hazards models to analyze HCC development. Results: Out of 2,779 patients, 480 (17.3%) developed HCC post-therapy. DM patients not using metformin had a 51% increased risk of HCC compared to non-DM patients, while HLP patients on statins had a 50% reduced risk compared to those without HLP. The 5-year HCC incidence was significantly higher for metformin non-users (16.5%) versus non-DM patients (11.3%; adjusted sub-distribution hazard ratio [aSHR]=1.51; P=0.007) and metformin users (3.1%; aSHR=1.59; P=0.022). Statin use in HLP patients correlated with a lower HCC risk (3.8%) compared to non-HLP patients (12.5%; aSHR=0.50; P<0.001). Notably, the increased HCC risk associated with non-use of metformin was primarily seen in non-cirrhotic patients, whereas statins decreased HCC risk in both cirrhotic and non-cirrhotic patients. Conclusions Metformin and statins may have a chemopreventive effect against HCC in CHC patients who failed antiviral therapy. These results support the need for personalized preventive strategies in managing HCC risk.