Objective:To investigate the differential effects of proton FLASH irradiation and conventional dose rate (CONV) irradiation on human normal liver cells WRL68 and human hepatocellular carcinoma cells HepG2.Methods:Using a 100 MeV high-current proton cyclotron accelerator, WRL68 and HepG2 cells were subjected to CONV (0.8 Gy/min) and FLASH (40 Gy/s) irradiation with 4 Gy protons. After irradiation, changes in cell proliferation, apoptosis, and cell cycle arrest were detected at different time points. Additionally, transcriptome sequencing was employed to analyze alterations in the gene expression profiles of the two cell lines.Results:For WRL68 cells, compared with CONV irradiation, proton FLASH irradiation enhanced cell proliferative activity ( t=10.18-16.67, P<0.05), reduced the apoptotic rate ( t=3.21-8.30, P<0.05), and decreased the proportion of cells arrested in the G 2 phase at the same time points ( t=34.08-65.16, P<0.05). In contrast, for HepG2 cells, proton FLASH irradiation significantly inhibited cell proliferation ( t=2.57-9.39, P<0.05), increased the apoptotic rate ( t=3.25-66.70, P<0.05), and similarly induced cell cycle arrest predominantly in the G 2 phase ( t=10.87-27.47, P<0.05). Transcriptome sequencing identified 906 differentially expressed genes (DEGs) between the FLASH group and the CONV group in WRL68 cells, and 1 243 DEGs were detected in HepG2 cells. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses of these DEGs suggested that cellular adhesion and oxygen effect may serve as crucial microscopic mechanisms underlying FLASH radiotherapy. Conclusions:Under proton FLASH irradiation, the radiation-induced damage to human normal liver cells was significantly alleviated, whereas the damage to hepatocellular carcinoma cells was aggravated. The identified DEGs are involved in multiple radiobiological functional pathways.

Objective The morphological and data characteristics of premature ventricular contraction(PVC)were obtained through dynamic electrocardiogram(DCG),and its correlation with new-onset major adverse cardiovascular events(MACE)was analyzed.Methods A total of 115 patients with PVC admitted to Huzhou First People's Hospital from January 2022 to January 2024 were retrospectively selected and divided into MACE group(n=31)and non-MACE group(n=84)according to the new-onset MACE.Collect the baseline data of patients,as well as DCG data such as the morphological and data characteristics of PVC.Collect the baseline data of patients,as well as DCG data such as the morphological and data characteristics of PVC.Multivariate Logistic regression was used to analyze the influencing factors of new-onset MACE in patients with PVC.The receiver operating characteristic(ROC)curve was drawn to analyze the predictive value of influencing factors for the risk of new-onset MACE in patients with PVC.Results There were statistically significant differences in gender,disease duration,QRS wave duration,PVC origin,PVC load,and Lown classification between two groups of patients(P＜0.05).Multivariate Logistic regression analysis showed that QRS wave duration(OR=1.070),PVC origin(OR=6.840)and PVC load(OR=2.583)were independent risk factors for new-onset MACE in PVC patients(P＜0.05).The ROC curve showed that the area under the curve for predicting new-onset MACE in PVC patients with QRS wave duration,PVC origin,and PVC load were 0.791,0.750,and 0.917 respectively.The predictive value of PVC load was the highest.Conclusion QRS wave duration,PVC origin and PVC load are related to new-onset MACE in PVC patients,and PVC load has a good predictive effect on the risk of new-onset MACE in PVC patients.

The placenta is a regulator of maternal-fetal circulation，regulating nutrient and waste exchange，endocrine function，and immune response. The placental vascular structure is the basis of the placental exchange function and the key to maternal-fetal circulation. Placental vascular changes may affect fetal growth and cardiovascular development，and even the origin of postnatal health and disease. The placenta is crucial in fetal growth and development and future health，but our understanding of placental vascular structure is still insufficient. This article reviews the imaging methods and progress of placental imaging，focusing on the placental microvascular imaging technology，which aims to provide a method reference for prenatal evaluation and monitoring of placental vascular structure by realizing the visualization of placental vascular structure. Based on this new technology，it is expected to provide new ideas for the study of the hemodynamic mechanisms of fetal growth and cardiovascular development in the future.

Metagenomic next-generation sequencing, as an unbiased detection technology, demonstrates higher diagnostic efficacy than traditional methods. Gut microorganisms are important flora for safeguarding health and have become a hot research topic. Modeling and analyzing the genomic data of intestinal flora using machine learning is very important in disease prediction and diagnosis. This paper briefly introduces the characteristics of metagenomic next-generation sequencing, key algorithms and evaluation indexes of machine learning, outlines the main steps of combining machine learning with metagenomic next-generation sequencing, and summarizes the application of the combination of machine learning and metagenomic next-generation sequencing technology in the study of intestinal flora, which will provide a more accurate method for diagnosis and prediction of the related diseases, and give more ideas for the future research and clinical practice.

Objective:To address the challenges in cultivating young medical researchers, including the lack of initial research funding, insufficient interdisciplinary collaboration, absence of academic exchange platforms, and inadequate talent incentives, this study analyzes the specific practical measures of the new model(Fund-Alliance-Academic activities-Award Model, hereinafter referred to as ″FAAA model″) of A certain medical college in enhancing the innovative capabilities and interdisciplinary research proficiency of young medical talents in initial stage, and evaluates the practical significance of these initiatives.Methods:Through literature review, the inevitability of interdisciplinary integration was examined in the context of China′s developmental needs and medical discipline advancement. Innovative practices under the FAAA model of A certain medical college were retrospectively analyzed, focusing on the construction of a medical youth scientific innovation and development platform.Results:The FAAA model had achieved effective outcomes in improving young researchers′ capabilities, fostering interdisciplinary achievements, expanding academic influence, and advancing talent echelon development, yet required further refinement.Conclusions:The FAAA model effectively addresses critical bottlenecks in the growth of young medical researchers through systematic support mechanisms, significantly enhancing their scientific competitiveness and interdisciplinary innovation capacity. Its practical measures offer referential value for peer institutions. Future efforts should optimize the ″early funding-achievement incubation-national project linkage″ chain, strengthen institutionalized interdisciplinary collaboration, and build a data-driven ecosystem to provide sustainable talent support for medical science and technology innovation.

The reliability and practicality of research findings in health economics are gradually becoming core issues of close concern for clinical and public health experts. As healthcare resources remain under increasing pressure, conducting efficient cost-effectiveness analyses and achieving rational resource allocation are becoming ever more critical. In recent years, medical laboratory health economics has transitioned from purely academic discussions to integration into clinical practice, becoming a key tool for improving the efficiency and quality of healthcare services. It has demonstrated remarkable results in optimizing patient management and medical decision-making processes. So we invited experts from the fields of medical laboratory science and health economics to share valuable experiences and unique insights on topics such as cost assessment methods, pricing strategies, quality regulation, and the role of medical laboratory health economics in enhancing clinical practice and patient benefits. These experts generally agree that, while research in medical laboratory health economics has shown significant advantages and effectively addressed urgent clinical needs in resource allocation and cost control, it still faces multiple challenges, including limitations in research methodology application, high operational costs, and insufficient standardization of management systems.

Objective:This study aims to develop a rapid identification technique for various genotypes of extended-spectrum β-lactamase (ESBL) producing Escherichia coli using matrix-assisted laser desorption/ionization-time of flight mass spectrometry (MALDI-TOF MS) in conjunction with machine learning algorithms. Methods:A total of 158 Escherichia coli strains were isolated from the clinical laboratory of the First Hospital of Jilin University from August 2018 to December 2022. Polymerase chain reaction (PCR) was employed to detect the CTX-M-1, CTX-M-8, CTX-M-9, and SHV genes. Mass spectral data of the bacterial strains were acquired by MALDI-TOF MS with a cooperative matrix of (E)-propyl α-cyano-4-hydroxycinnamate (CHCA-C3). Models based on random forest (RF), logistic regression (LR), and support vector machine (SVM) algorithms were constructed. The performance of the constructed models was evaluated using metrics including accuracy, sensitivity, specificity, and the area under the receiver operating characteristic curve (AUC). Mass spectral peaks exhibiting sensitivity and specificity exceeding 80% in the models were designated as characteristic peaks. To validate the efficacy of the cooperative matrix of CHCA-C3, clinical isolates of ESBL-producing Escherichia coli were analyzed by MALDI-TOF MS using the conventional CHCA matrix for comparative purposes. Results:Among the 158 strains of Escherichia coli, 91 strains produced ESBL, all of which were CTX-M genotype. The AUC values for the respective models were as follows: CTX-M-1 genotype exhibited AUC values of 0.98 for LR, 1.00 for RF, and 0.73 for SVM; CTX-M-9 genotype exhibited AUC values of 0.93 for LR, 0.99 for RF, and 0.76 for SVM; for CTX-M-8, all models achieved an AUC of 1.00, indicating excellent classification performance with respect to accuracy, specificity, and sensitivity. The characteristic mass spectral peaks associated with each genotype included: CTX-M-1 genotype at m/z 6 390; CTX-M-8 genotype at m/z 5 224, m/z 5 393, and m/z 9 021; CTX-M-9 genotype at m/z 5 161 and m/z 5 273. In the MALDI-TOF MS analysis conducted with the conventional CHCA matrix, the characteristic peak at m/z 9 021 for CTX-M-8 was the only one detected, with the characteristic peaks for CTX-M-1 and CTX-M-9 remaining undetected. Conclusion:The application of cooperative matrix of CHCA-C3 in conjunction with MALDI-TOF MS and machine learning algorithms facilitates the rapid and precise identification of extended-spectrum β-lactamase (ESBL)-producing Escherichia coli. This approach offers a feasible solution for evidence-based clinical therapy and the control of healthcare-associated infections.

The threat of antimicrobial resistance is escalating, and traditional antimicrobial susceptibility testing methods have long turnaround times, which are inadequate for rapid clinical decision-making. Consequently, the development of rapid antimicrobial susceptibility testing (RAST) methods that are fast, efficient, and cost-effective is of great significance. This review discusses the principles, characteristics, and application potentials of matrix-assisted laser desorption/ionization time-of-flight mass spectrometry RAST, European Committee on Antimicrobial Susceptibility Testing RAST, Microfluidic RAST, Flow Cytometry RAST, Raman Spectroscopy RAST, and ultra-rapid antimicrobial susceptibility testing. These technologies exhibit significant advantages in reducing detection time and improving detection accuracy, but also face challenges such as high technical complexity, high costs, and limited applicability. It is expected that an ideal RAST will be realized in the future to better respond to the challenges of global antimicrobial resistance.

Objective:To evaluate clinical outcomes of occlusion-guided vascularized folded fibula flap reconstruction with delayed implant restoration for mandibular defects after benign tumor resection.Methods:A total of 12 patients with benign mandibular tumors underwent free folded fibula flap reconstruction at the First Affiliated Hospital of Bengbu Medical University between January 2020 and December 2023, including 7 males and 5 females, aged 21-52 years. Six months after mandibular reconstruction, the internal fixation titanium plates were removed, and dental implants were placed using a preoperatively fabricated occlusal guide, followed by second-stage implant surgery and prosthetic restoration. Mandibular CT scans were obtained 6 months after reconstruction to compare the fitting accuracy between the preoperative virtual design and the actual reconstructed mandible. The implant stability quotient (ISQ) was measured 3 months after implant placement. Masticatory efficiency and Enneking lower limb function scores were evaluated at the following time points: before tumor surgery (T1), before implant placement (T2), 6 months (T3) and 9 months (T4) after implant crown restoration. One-way repeated measures ANOVA was used to analyze the masticatory efficiency and lower limb function scores.Results:The free folded fibula grafts were successfully performed via an intraoral approach in all 12 patients, with a 100% of survival rate. Mandibular defects included Brown class I in 6 cases, class II in 2 cases, and class III in 4 cases. A total of 42 implants were placed with successful osseointegration. The ISQ measured at 3 months post-placement was 64.10±4.18. At 6 months postoperatively, morphological analysis comparing the preoperative virtual surgical design with the actual postoperative reconstructed mandible revealed a reconstruction accuracy of 84.27%±4.23%. Significant differences were observed in Enneking scores and masticatory efficiency across all four time points (all P<0.001). Masticatory function showed significant improvement at T4 compared that at T2 [(88.06±3.66)% vs. (65.44±3.82)%, P<0.05]. Conclusion:Occlusal function-guided mandibular reconstruction with vascularized folded fibula flap after removal of benign mandibular tumors is a reliable method, which is associated with minimal donor-site morbidity and enables patients to restore precise occlusion and to achieve favorable masticatory efficiency.

OBJECTIVES: To develop an early atrial fibrillation (AF) risk prediction model based on large-scale electrocardiogram (ECG) data from the Chinese population. METHODS: The data of multiple ECG records of 30 383 patients admitted in the Chinese PLA General Hospital between 2009 and 2023 were randomly divided into the training set and the internal testing set in a 7:3 ratio. The predictive factors were selected based on the training set using univariate analysis, LASSO regression, and the Boruta algorithm. Cox proportional hazards regression was used to establish the ECG model and the composite model incorporating age, gender, and ECG model score. The discrimination power, calibration, and clinical net benefits of the models were evaluated using the area under the receiver operating characteristic curve (AUROC), calibration curves, and decision curves. RESULTS: The cohort included 51.1% male patients with a median age of the patients of 51 (36, 62) years and an AF incidence of 4.5% (1370/30 383). In the ECG model, the parameters related to the P wave and QRS complex were identified as significant predictors. In the testing set, the AUROC of the ECG model for predicting 5-year AF risk was 0.77 (95% CI: 0.74-0.80), which was increased to 0.81 (95% CI: 0.78-0.83) after incorporating age and gender, with a net reclassification improvement of 0.123 and an integrated discrimination improvement of 0.04 (P<0.05). The calibration curve of the model was close to the diagonal line. Decision curve analysis showed that the clinical net benefit of the composite model was higher than that of the ECG model across the majority of threshold probability. CONCLUSIONS The composite model incorporating quantitative ECG features during sinus rhythm, along with age and gender, can effectively predict AF risk in the Chinese population, thus providing a low-cost screening tool for early AF risk assessment and management.
Humans ; Atrial Fibrillation/epidemiology* ; Electrocardiography ; Middle Aged ; Male ; Female ; China/epidemiology* ; Proportional Hazards Models ; Adult ; Risk Factors ; Risk Assessment ; East Asian People