Objective:To understand the current status of epidemiological investigation task force construction and the performance of infectious disease epidemic response in county (district) Centers for Disease Control and Prevention (CDCs) in China, analyze the influencing factors and provide scientific evidence to improve the construction of grassroot epidemiological investigation task force.Methods:A survey was conducted in epidemiological investigation staff in county (district) CDCs in 31 provinces (autonomous regions/municipalities) and Xinjiang Production and Construction Corps in China. A self-designed questionnaire was used to collect information based on the epidemiological dynamic data collection platform of China CDC. A descriptive epidemiological analysis was conducted, and multiple linear regression models were used to identify the factors associated with the performance of infectious disease epidemic response.Results:A total of 24 934 epidemiological investigation task force members from 2 897 county (district) CDCs were surveyed in the study. In the epidemiological investigation task force, women, those with bachelor's degree and public health workers accounted for 62.46%, 71.36%, and 49.05% respectively. Up to 91.72% of the task force members had participated in field epidemic response. The average score of awareness of epidemic investigation procedures was 60.00, while the average score of key skill proficiency in the investigation was 42.22. The epidemic response performance showed correlations with area, gender, age, education level, major, and field epidemiology training programs, those who had received longer training showed higher competency scores (all P<0.001). Conclusions:Progress has been made in the construction of epidemiological investigation task force in grass-root CDCs in China, but further improvements are needed, especially in the knowledge awareness and investigation skills of the task force. Field epidemiology training demonstrated substantial impact on the improvement of epidemic response performance, indicating that it is necessary to further strengthen the training in grassroot public health workers for the better response to infectious disease epidemics.

Objective:To explore the natural course of ulcerative proctitis (UP) and the risk factors associated with disease extent progression.Methods:A retrospective cohort study was conducted, including UP patients who had undergoing prospective regisration in the Department of Gastroenterology, Xijing Hospital of Digestive Diseases, Air Force Medical University between January 2000 and May 2023. All patients were ≥ 18 years old at the time of diagnosis and followed up for more than one year. The disease extent in patients at diagnosis and during follow-up was assessed according to the Montreal classification. The clinical data were compared between the progression group and the non-progression group. The cumulative proportions of disease extent progression were analyzed with the Kaplan-Meier method, and the risk factors associated with disease extent progression were analyzed with the Cox proportional hazards regression model.Results:A total of 184 UP patients were included, with a median follow-up time of 4.8 (2.8, 8.5) years. Among them, 96 were male (52.2%) and 88 were female (47.8%), with a median age at diagnosis of 39.1 (28.8, 49.7) years. At the time of diagnosis, 95 (51.6%) patients had moderate endoscopic manifestations and 64 (34.8%) had severe endoscopic manifestations, while only 25 (13.6%) patients had mild lesions. 116 patients (63.0%) experienced disease extent progression in a median time of 4.2 (1.8, 9.0) years. The cumulative proportions of disease extent progression in 1, 3, 5, and 10 years were 13.0%, 39.0%、56.7% and 78.3%, respectively. Cox regression analysis identified the use of 5-aminosalicylic acid as a protective factor against disease extent progression ( HR = 0.55, 95% CI: 0.31 ~ 0.96, P = 0.035). During follow-up, only one patient (0.5%) underwent surgery. Five patients (2.7%) were diagnosed with dysplasia, and all of these patients had experienced disease extent progression before the development of dysplasia. Conclusions:Patients with UP had a high proportion of moderate-to-severe active endoscopic findings at diagnosis, and nearly two-thirds of patients experienced disease progression during follow-up, but the rates of colectomy and neoplasia were relatively low. 5-ASA was a protective factor against disease extent progression.

Objective:To compare the outcomes between the arthroscopic en masse repair and the modified separate repair for type Ⅰ delaminated rotator cuff tears.Methods:This retrospective study analyzed the clinical data of 46 patients who had been treated for delaminated rotator cuff tears at Department of Sports Medicine, The Second People's Hospital of Fujian Province from January 2021 to January 2023. This cohort consisted of 15 males and 31 females, with an age of (58.2±9.0) years. Their delaminated rotator cuff tears were all classified as typeⅠ according to Choo et al. According to different surgical methods, they were divided into 2 groups: group A (22 cases) was treated by arthroscopic en masse repair while group B (24 cases) by arthroscopic modified separate repair. The 2 groups were compared in terms of forward flexion, external rotation, internal rotation, visual analogue scale (VAS) for pain, American Shoulder and Elbow Surgeons (ASES) score, and Constant-Murley score at preoperation and the last follow-up. MRI was used to evaluate the healing status of rotator cuff at the last follow-up.Results:There was no significant difference in the baseline data between the 2 groups, indicating comparability ( P>0.05). All patients were followed up for 26.0 (24.0, 28.0) months. At the last follow-up, the external rotation (57.3°±15.7°), ASES score [(97.5±3.6) points] and Constant-Murley score [(93.7±3.0) points] in group B were significantly better than those in group A [40.9°±17.7°, (85.5±18.3) points, and (78.6±22.7) points] ( P<0.05), but the differences in forward flexion, internal rotation or VAS pain score were not significantly different between the 2 groups ( P>0.05). In both groups A and B, significant improvements were achieved at the last follow-up in forward flexion, external rotation, internal rotation, VAS pain score, ASES score, and Constant-Murley score compared with the preoperative period ( P<0.05). At the last follow-up, in group A and group B respectively, the rotator cuff was completely healed in 9 and 18 cases, partially healed in 10 and 6 cases, and re-torn in 3 and 0 cases, showing significant differences in the healing status between the 2 groups ( P<0.05). Conclusion:In the treatment of type Ⅰ delaminated rotator cuff tears, the modified separate repair can obtain significantly better external rotation, ASES score, Constant-Murley score, and healing status of rotator cuff than the arthroscopic en masse repair.

Pulpotomy, which belongs to vital pulp therapy, has become a strategy for managing pulpitis in recent decades. This minimally invasive treatment reflects the recognition of preserving healthy dental pulp and optimizing long-term patient-centered outcomes. Pulpotomy is categorized into partial pulpotomy (PP), the removal of a partial segment of the coronal pulp tissue, and full pulpotomy (FP), the removal of whole coronal pulp, which is followed by applying the biomaterials onto the remaining pulp tissue and ultimately restoring the tooth. Procedural decisions for the amount of pulp tissue removal or retention depend on the diagnostic of pulp vitality, the overall treatment plan, the patient's general health status, and pulp inflammation reassessment during operation. This statement represents the consensus of an expert committee convened by the Society of Cariology and Endodontics, Chinese Stomatological Association. It addresses the current evidence to support the application of pulpotomy as a potential alternative to root canal treatment (RCT) on mature permanent teeth with pulpitis from a biological basis, the development of capping biomaterial, and the diagnostic considerations to evidence-based medicine. This expert statement intends to provide a clinical protocol of pulpotomy, which facilitates practitioners in choosing the optimal procedure and increasing their confidence in this rapidly evolving field.
Humans ; Calcium Compounds/therapeutic use* ; Consensus ; Dental Pulp ; Dentition, Permanent ; Oxides/therapeutic use* ; Pulpitis/therapy* ; Pulpotomy/standards*

Arsenic is a semi-metal,and lipid-soluble arsenic compounds are one of the widespread forms in the environment and food chain,but there is a lack of standards for lipid-soluble arsenic compounds,which is one of the bottlenecks in the current analytical detection and toxicological studies of organic arsenic.In this study,four saturated arsenic-containing hydrocarbons,AsHC 318,AsHC 332,AsHC 346,and AsHC 374(The number is relative molecular mass),were successfully synthesized in three steps by using dimethylarsinic acid,potassium iodide,sodium hydroxide,and four brominated alkanes(1-Bromotetradecane,1-bromopentadecane,1-bromohexadecane,and 1-bromooctadecane)as raw materials.The structures of these four saturated arsenic-containing hydrocarbons were characterized by proton nuclear magnetic resonance(1H NMR)spectroscopy,13C nuclear magnetic resonance(13C NMR)spectroscopy,and high-resolution mass spectrometry(HR-MS).The yields of the method were 8%-10%,and the synthesized compounds could be used in subsequent toxicity evaluation experiments to assess the toxic effects and mechanisms of action of arsenic-containing hydrocarbons.This study provided an effective method for synthesis of arsenic-containing hydrocarbons,enriching the synthesis methods of arsenic-containing hydrocarbons,and provided raw materials for the subsequent toxicological studies of arsenic-containing hydrocarbons.

OBJECTIVE: To investigate the effect of zedoarondiol on neovascularization of atherosclerotic (AS) plaque by exosomes experiment. METHODS: ApoE^-/- mice were fed with high-fat diet to establish AS model and treated with high- and low-dose (10, 5 mg/kg daily) of zedoarondiol, respectively. After 14 weeks, the expressions of anti-angiogenic protein thrombospondin 1 (THBS-1) and its receptor CD36 in plaques, as well as platelet activation rate and exosome-derived miR-let-7a were detected. Then, zedoarondiol was used to intervene in platelets in vitro, and miR-let-7a was detected in platelet-derived exosomes (Pexo). Finally, human umbilical vein endothelial cells (HUVECs) were transfected with miR-let-7a mimics and treated with Pexo to observe the effect of miR-let-7a in Pexo on tube formation. RESULTS: Animal experiments showed that after treating with zedoarondiol, the neovascularization density in plaques of AS mice was significantly reduced, THBS-1 and CD36 increased, the platelet activation rate was markedly reduced, and the miR-let-7a level in Pexo was reduced (P<0.01). In vitro experiments, the platelet activation rate and miR-let-7a levels in Pexo were significantly reduced after zedoarondiol's intervention. Cell experiments showed that after Pexo's intervention, the tube length increased, and the transfection of miR-let-7a minics further increased the tube length of cells, while reducing the expressions of THBS-1 and CD36. CONCLUSION Zedoarondiol has the effect of inhibiting neovascularization within plaque in AS mice, and its mechanism may be potentially related to inhibiting platelet activation and reducing the Pexo-derived miRNA-let-7a level.
Animals ; MicroRNAs/genetics* ; Exosomes/drug effects* ; Plaque, Atherosclerotic/genetics* ; Neovascularization, Pathologic/genetics* ; Human Umbilical Vein Endothelial Cells/metabolism* ; Humans ; Blood Platelets/drug effects* ; Apolipoproteins E/deficiency* ; Thrombospondin 1/metabolism* ; CD36 Antigens/metabolism* ; Platelet Activation/drug effects* ; Male ; Mice ; Mice, Inbred C57BL

OBJECTIVES: To investigate the prognostic value of molecular minimal residual disease (Mol-MRD) monitored before and after allogeneic hematopoietic stem cell transplantation (HSCT) in pediatric acute myeloid leukemia (AML). METHODS: Clinical data of 71 pediatric AML patients who underwent HSCT between August 2016 and December 2023 were analyzed. Mol-MRD levels were dynamically monitored in MRD-positive patients, and survival outcomes were evaluated. RESULTS: No significant difference in the 3-year overall survival (OS) rate was observed between patients with pre-HSCT Mol-MRD ≥0.01% and <0.01% (77.3% ± 8.9% vs 80.4% ± 7.9%, P=0.705). However, patients with pre-HSCT Mol-MRD <1.75% had a significantly higher 3-year OS rate than those with Mol-MRD ≥1.75% (86.6% ± 5.6% vs 44.4% ± 16.6%, P=0.020). The median Mol-MRD level in long-term survivors was significantly lower than in non-survivors [0.61% (range: 0.04%-51.58%)] vs 10.60% (range: 1.90%-19.75%), P=0.035]. Concurrent flow cytometry-based MRD positivity was significantly higher in non-survivors (80% vs 24%, P=0.039). There was no significant difference in the 3-year overall survival rate between patients with Mol-MRD ≥0.01% and those with <0.01% at 30 days post-HSCT (P=0.527). For children with Mol-MRD <0.22% at 30 days post-HSCT, the 3-year overall survival rate was 80.4% ± 5.9%, showing no significant difference compared to those with molecular negativity (87.0% ± 7.0%) (P=0.523). CONCLUSIONS Patients with pre-HSCT Mol-MRD <1.75% or post-HSCT Mol-MRD <0.22% may achieve long-term survival outcomes comparable to Mol-MRD-negative cases through HSCT and targeted interventions.
Humans ; Hematopoietic Stem Cell Transplantation ; Neoplasm, Residual ; Leukemia, Myeloid, Acute/genetics* ; Child ; Male ; Female ; Child, Preschool ; Prognosis ; Adolescent ; Infant ; Transplantation, Homologous

Fusion variations of neurotrophic receptor tyrosine kinase (NTRK) are oncogenic drivers in various solid tumors such as breast cancer, salivary gland carcinoma, infant fibrosarcoma, etc. Gene rearrangements involving NTRK1/2/3 lead to constitutive activation of the tropomyosin receptor kinase (TRK) domain, and the expressed fusion proteins drive tumor growth and survival. NTRK fusions are estimated to occur at a frequency of approximately 0.1% to 1% in non-small cell lung cancer (NSCLC). Epidermal growth factor receptor (EGFR) mutations are prevalent in NSCLC, but the frequency of EGFR G719A mutation is relatively low (about 2%), and EGFR mutations are typically mutually exclusive with NTRK fusion variants. The study presented the first documented case of lung adenocarcinoma harboring both EGFR G719A mutation and LMNA-NTRK1 fusion. A review of the literature was conducted to elucidate the role of NTRK fusion mutations in NSCLC and their relationship with EGFR mutations, aiming to enhance the understanding of NTRK fusion mutations in NSCLC.
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Humans ; Adenocarcinoma/genetics* ; Adenocarcinoma of Lung ; ErbB Receptors/genetics* ; Lamin Type A/genetics* ; Lung Neoplasms/genetics* ; Mutation ; Oncogene Proteins, Fusion/genetics* ; Receptor, trkA/metabolism*

At present,the laboratory medicine industry in China has developed rapidly,with various new technologies and methods emerge one after another. However,the current training process of laboratory medicine technology professionals still follows a training model that emphasizes theyory over practice,and the quality of training personnel is far from the requirments of the current development of the laboratory medicine industry in China. In order to effectively alleviate the current situation of the shortage of practical high-quality laboratory medicine talents,it is urgent to reform the teaching of laboratory medicine. The author of this paper puts forward the "Four-in-one" personnel training mode which is suitable for the development of laboratory medicine in China. It is proposed to explore a new teaching mode on the basis of the existing one,giving full play to the students' initiative and innovation,and providing new ideas for training high-quality laboratory medicine professionals.

In recent years, the application of artificial intelligence (AI) in the field of biology has witnessed remarkable advancements. Among these, the most notable achievements have emerged in the domain of protein structure prediction and design, with AlphaFold and related innovations earning the 2024 Nobel Prize in Chemistry. These breakthroughs have transformed our ability to understand protein folding and molecular interactions, marking a pivotal milestone in computational biology. Looking ahead, it is foreseeable that the accurate prediction of various physicochemical properties of proteins—beyond static structure—will become the next critical frontier in this rapidly evolving field. One of the most important protein properties is thermodynamic stability, which refers to a protein’s ability to maintain its native conformation under physiological or stress conditions. Accurate prediction of protein stability, especially upon single-point mutations, plays a vital role in numerous scientific and industrial domains. These include understanding the molecular basis of disease, rational drug design, development of therapeutic proteins, design of more robust industrial enzymes, and engineering of biosensors. Consequently, the ability to reliably forecast the stability changes caused by mutations has broad and transformative implications across biomedical and biotechnological applications. Historically, protein stability was assessed via experimental methods such as differential scanning calorimetry (DSC) and circular dichroism (CD), which, while precise, are time-consuming and resource-intensive. This prompted the development of computational approaches, including empirical energy functions and physics-based simulations. However, these traditional models often fall short in capturing the complex, high-dimensional nature of protein conformational landscapes and mutational effects. Recent advances in machine learning (ML) have significantly improved predictive performance in this area. Early ML models used handcrafted features derived from sequence and structure, whereas modern deep learning models leverage massive datasets and learn representations directly from data. Deep neural networks (DNNs), graph neural networks (GNNs), and attention-based architectures such as transformers have shown particular promise. GNNs, in particular, excel at modeling spatial and topological relationships in molecular structures, making them well-suited for protein modeling tasks. Furthermore, attention mechanisms enable models to dynamically weigh the contribution of specific residues or regions, capturing long-range interactions and allosteric effects. Nevertheless, several key challenges remain. These include the imbalance and scarcity of high-quality experimental datasets, particularly for rare or functionally significant mutations, which can lead to biased or overfitted models. Additionally, the inherently dynamic nature of proteins—their conformational flexibility and context-dependent behavior—is difficult to encode in static structural representations. Current models often rely on a single structure or average conformation, which may overlook important aspects of stability modulation. Efforts are ongoing to incorporate multi-conformational ensembles, molecular dynamics simulations, and physics-informed learning frameworks into predictive models. This paper presents a comprehensive review of the evolution of protein thermodynamic stability prediction techniques, with emphasis on the recent progress enabled by machine learning. It highlights representative datasets, modeling strategies, evaluation benchmarks, and the integration of structural and biochemical features. The aim is to provide researchers with a structured and up-to-date reference, guiding the development of more robust, generalizable, and interpretable models for predicting protein stability changes upon mutation. As the field moves forward, the synergy between data-driven AI methods and domain-specific biological knowledge will be key to unlocking deeper understanding and broader applications of protein engineering.