Background: and Purpose Live cell-based assays (LCBA) are increasingly used for serological antibody detection due to their ability to preserve antigen conformation, offering moderately higher sensitivity than fixed cell-based assays. However, the clinical necessity of prioritizing LCBA for the detection of aquaporin-4 immunoglobulin G (AQP4-IgG) in neuromyelitis optica spectrum disorder (NMOSD) remains unclear, especially when compared to its established role in diagnosing myelin oligodendrocyte glycoprotein antibody-associated disease. Methods: We compared the performance of live cell-based assays using immunofluorescence (LCBA-IF) and fixed cell-based assays using immunofluorescence (FCBA-IF) in detecting AQP4-IgG in 90 cases of NMOSD meeting 2015 International Panel for Neuromyelitis Optica Diagnosis criteria, alongside 40 controls. Additionally, we further investigated the relationship between AQP4-IgG titers as measured by LCBA-IF and FCBA-IF and clinical parameters in NMOSD patients. Results: Results showed 96.9% agreement between LCBA-IF and FCBA-IF (Cohen’s κ=0.935), with a strong Spearman correlation (0.977, p<0.001). Both methods demonstrated 100% specificity, with LCBA-IF showing slightly higher sensitivity compared to FCBA-IF. Within LCBAIF-tested groups, statistically significant differences in annualized relapse rates were observed across all pairwise comparisons (low-titer vs. moderate-titer, low-titer vs. high-titer, and moderate-titer vs. high-titer; all p<0.050). However, this association reached statistical significance in some FCBA-IF-tested groups. Conclusions Overall, there is a strong concordance between LCBA-IF and FCBA-IF in detecting AQP4-IgG, where LCBA-IF shows slightly higher sensitivity. Furthermore, there is a potential link between elevated AQP4-IgG titers and an increased risk of relapse, and this correlation may appear more pronounced when using LCBA-IF.

ObjectiveGastric hemorrhage is one of the most common and life-threatening emergencies of the upper digestive tract. Early identification and continuous monitoring are essential for reducing rebleeding rates and mortality, particularly within the critical early hours after onset. Although endoscopy and radiological imaging can accurately localize bleeding sites, these approaches are invasive, resource-intensive, and unsuitable for continuous bedside monitoring. Electrical impedance tomography (EIT), as a noninvasive and radiation-free functional imaging technique, offers real-time visualization of conductivity distribution and has the potential for detecting intragastric bleeding based on the electrical contrast between blood and surrounding gastric tissues. In this study, a three-dimensional gastric EIT (3D-gEIT) framework is proposed to achieve noninvasive, real-time, and dynamic monitoring of gastric hemorrhage, with emphasis on spatial localization and quantitative volume assessment. MethodsA three-dimensional upper-abdominal simulation model incorporating the stomach, gastric wall, gastric contents, and surrounding tissues was established. Three electrode configurations, namely the dual layer ring, the four layer staggered ring, and the opposed dual plane array, were designed and systematically compared to evaluate their influence on depth sensitivity and spatial resolution. Based on the Tikhonov-Noser hybrid regularization scheme, a region-clustering constraint was introduced to develop the TK-Noser-RCC algorithm. This approach aggregates spatially adjacent elements with similar conductivity variations, thereby enhancing structural continuity and suppressing isolated noise artifacts. To validate the proposed framework, an upper-abdominal physical phantom was constructed using agar to simulate background tissue conductivity. Hemispherical high-conductivity inclusions with volumes ranging from 10 ml to 50 ml were attached to the inner gastric wall to mimic localized bleeding under different gastric filling states. Boundary voltages were acquired under a 120 kHz excitation current and reconstructed using the TK-Noser-RCC algorithm. Furthermore, an in vivo animal experiment was performed using a porcine model with adult-scale abdominal dimensions. A total of 100 ml of autologous blood was injected incrementally into the stomach to simulate progressive gastric hemorrhage, and time-difference EIT reconstruction was conducted at each injection stage to assess the dynamic system response under physiological conditions. ResultsSimulation results demonstrated that the opposed dual-plane electrode array achieved superior depth sensitivity distribution and spatial resolution. For a 40 ml hemorrhage model, the average ICC and SSIM improved by 55.9% and 38.8% compared with the dual-layer ring configuration, and by 64.0% and 39.5% compared with the four-layer staggered configuration. The proposed region-clustering constraint significantly enhanced reconstruction stability. Under added Gaussian noise of 40 dB and 30 dB, ICC values remained approximately 0.85, indicating effective artifact suppression and preservation of boundary integrity. In physical phantom experiments, reconstructed hemorrhage volumes increased approximately linearly with the preset hemispherical volumes, and the reconstructed high-conductivity regions closely matched the actual bleeding locations. Both empty-stomach and full-stomach conditions were evaluated, demonstrating that the opposed dual-plane configuration maintained stable imaging performance across varying gastric contents. In the animal experiment, reconstructed low-impedance regions expanded progressively with increasing injected blood volume. The spatial localization of the hemorrhage remained stable throughout the procedure, and no significant artifacts were observed. Quantitative analysis showed that reconstructed volume and average conductivity variation exhibited an approximately linear growth trend with injected blood volume, confirming the sensitivity of the system to dynamic intragastric conductivity changes. ConclusionThe proposed 3D-gEIT framework enables quantitative reconstruction of gastric hemorrhage volume and spatial distribution with improved depth sensitivity, structural continuity, and noise robustness compared with conventional EIT approaches. By integrating optimized electrode configuration and a region-clustering-constrained reconstruction algorithm, the system provides stable dynamic monitoring under both controlled phantom conditions and in vivo physiological environments. This method offers a noninvasive, real-time, and low-cost imaging strategy for early diagnosis, postoperative monitoring, and bedside surveillance of gastric bleeding.

arcopenia is a systemic skeletal muscle disorder characterized by a decrease in skeletal muscle mass and progressive decline in function， with multiple signaling pathways involved in its occurrence and development. Among them， the AMP-activated protein kinase （AMPK） signaling pathway， as a key pathway regulating cellular energy homeostasis， plays an important role in the regulation of skeletal muscle metabolism and functional maintenance by improving abnormalities in glucose and lipid metabolism， balancing skeletal muscle protein synthesis and degradation， improving mitochondrial function， promoting autophagy， and inhibiting inflammatory responses and oxidative stress. This article reviews the research progress on how various traditional Chinese medicine （TCM） monomers， including polyphenols， flavonoids， and terpenoids； various traditional Chinese medicine extracts， such as those from Lycium barbarum ， Asini Corii Colla， and Panax quinquefolium ， and TCM compounds， such as Guiqi zhuangjin decoction， Jianpi qiangji granules， and Qigu capsules， intervene in sarcopenia by regulating the AMPK signaling pathway to promote muscle protein synthesis， inhibit protein degradation， improve mitochondrial function， and alleviate inflammation and oxidative stress. Additionally， their molecular mechanisms are explored. The aim is to deeply elucidate the basis of TCM in the prevention and treatment of sarcopenia and to provide theoretical support for the development of related innovative drugs.

Maxillofacial fractures are common and frequently occurring diseases in Oral and Maxillofacial Surgery.The traditional clinical diagnosis and treatment process is easily affected by complex maxillofacial anatomy and differences in doctors' experience in reading X-rays and making diagnoses.In recent years,artificial intelligence technology has provided new solutions for the accurate diag-nosis and treatment planning of maxillofacial fractures.Automating image analysis through computer vision methods improves diagnostic accuracy and efficiency and assists in formulating treatment plans,showing broad application prospects and value.This article reviews and summarizes the research on the application of artificial intelligence in the auxiliary diagnosis and treatment of maxillofacial fractures at home and abroad,analyzes its advantages and disadvantages,and looks forward to future research trends.

This study was aimed at preliminarily investigating the molecular biological functions of the PPE65 protein from Myco-bacterium tuberculosis,and providing foundational data for tuberculosis prevention and control.The basic biological properties of the PPE65 gene-encoded protein were predicted with bioinformatics tools.Sequence information for the Mycobacterium tuberculosis Rv3621c gene and PPE65 protein was retrieved from the NCBI database.The Rv3621c gene was amplified through PCR with the H37Rv genome as a template,then cloned into the pET22b(+)expression vector.The recombinant pET22b(+)-PPE65 plasmid was transformed into Escherichia coli BL21(DE3)competent cells for IPTG-induced expression.Solubility analysis,purification,and identification of the recombinant PPE65 protein were performed.BEAS-2B cells were treated with various concentrations of PPE65 protein for 24 h,and cell proliferation was assessed with CCK-8 assays.PPE65 was found to be composed of 413 amino acids and to have a molecular formula of C????H????N???O???S??,a relative molecular mass of 40 679.88,a theoretical isoelectric point of 4.60,an ali-phatic index of 81.94,and an average hydrophilicity value of 0.319,thus indicating a stable hydrophobic protein lacking signal pep-tides or transmembrane domains.Secondary structure analysis revealed 53.03%α-helix(Hh),2.66%β-sheet(Ee),and 44.31%ran-dom coil(Cc).Bioinformatics predictions identified 38 B-cell epitopes and 22 CTL/Th-cell epitopes.The full-length PPE65 gene(1 308 bp)was confirmed through double restriction enzyme digestion and sequencing,thereby validating the correct construction of the pET22b(+)-PPE65 recombinant plasmid.SDS-PAGE analysis demonstrated that the recombinant protein was found in inclusion bodies,and a single band at 43.7 kDa was observed after purification.Western blotting revealed specific binding to mouse-derived His monoclonal antibodies,thereby confirming successful expression of the PPE65 protein.BEAS-2B cells treated with a PPE65 protein concentration gradient(2.5-20 μg/mL)exhibited a dose-dependent increase in cell number.Compared with those in the PBS control group,TGF-β relative expression levels were significantly higher in all treatment groups(t2.5=4.893,P<0.001,t5.0=4.640,P<0.05,t10=7.535,P<0.05,t20=16.44,P<0.000 1).This study elucidated the structural characteristics of the PPE65 protein,successfully obtained the recombinant protein through prokaryotic expression and purification,and demonstrated its ability to promote BEAS-2B cell proliferation.The underlying mechanism might involve suppression of TGF-β/S mad signaling pathway activation.These findings provide a theoretical basis for understanding the role and regulatory mechanisms of PPE65 during M.tuberculosis infection.

This study investigated the potential pathogenicity and genetic characteristics of ST314 Salmonella Kentucky(S.Ken-tucky)isolates from a broiler slaughterhouse.Antimicrobial susceptibility testing and whole-genome sequencing(WGS)were used to determine antimicrobial resistance,virulence factors,and the presence of antimicrobial resistance genes(ARGs)and mobile genetic elements(MGEs)among the isolates.The three multidrug resistant(MDR)isolates exhibited high resistance to multiple antimicrobial agents.The F4-2S strain exhibited resistance to 14 drugs across seven categories,whereas the F4T strain showed resistance to 13 drugs in the same number of categories.In contrast,the Y23 strain was resistant to nine drugs in six categories.Notably,F4-2S dem-onstrated high homology with F4T:both possessed 13 ARGs distributed across nine categories,in addition to a wide range of virulence factors,including secretion systems and effector proteins.The presence of IncR and IncX1 plasmids significantly enhanced both the antimicrobial resistance and pathogenicity of the isolates.The genome map of Y23 revealed a chromosome alongside two plasmids.The chromosome containedonly one resistance gene but several virulence factors,including the type III secretion system(T3SS),which is crucial for bacterial invasion.The plasmid pY23-1 contained eight types of 19 ARGs.Comparative analysis indicated that pY23-1 ex-hibited high homology with pZ1323SSL0055 and pSAL-045,all of which contained multiple ARGs,thus suggesting critical roles of these genes in the evolution of bacterial resistance.In conclusion,ST314 S.Kentucky demonstrated a complex mechanism of resis-tance coupled with significant pathogenic potential.The ARGs and MGEs in the plasmid contributed to the emergence and dissemina-tion of antimicrobial resistance.The multiple virulence factors present in the chromosome may be key factors driving the increasing virulence of ST314 S.Kentucky.

In recent years,organs-on-chips(OOCs)technology has gradually matured and been recognized by regulatory agencies,playing a key role in the construction of pathophysiological models,pharmacodynamic screening,toxicological evaluation and other fields,providing guidance for the research and development of innovative drugs of Chinese materia medica and the clinical application of classic prescriptions.This article reviewed the application progress of OOCs technology in the research of Chinese materia medica from four dimensions:pharmacodynamic and toxicological evaluation,quality control,active component analysis and innovative drug research and development,in order to provide a reference for the precise application of this technology in the field of Chinese materia medica.

Objective To construct a nomogram prediction model based on anti-cyclic citrullinated peptide antibody(anti-CCP an-tibody)and rheumatoid factor(RF)to predict the probability of cardiovascular disease(CVD)in patients with rheumatoid arthritis(RA).Methods A total of 437 RA patients admitted to Zhengzhou Central Hospital Affiliated to Zhengzhou University from January 2018 to February 2024 were selected as the study objects,the clinical data of the patients were collected,and they were divided into RA+CVD group(n=88)and RA group(n=349)according to the follow-up results.The risk factors of CVD in RA patients were screened by univariate and multivariate Logistic regression analysis,and the prediction model of CVD in RA patients was constructed and internally validated.Results Multivariate Logistic regression analysis showed that age,course of disease,uric acid,C-reactive protein,hyperten-sion and diabetes,anti-CCP antibody and RF were independent risk factors for CVD in RA patients(P＜0.05).The constructed mod-el was internally validated.The area under the area(AUC)of the training set and the validation set were 0.891(95％CI:0.851-0.930)and 0.867(95％CI:0.790-0.944).Conclusion The prediction model constructed in this paper has good predictive and dis-crimination ability,and has a high predictive value for whether RA patients are complicated with CVD.

This study investigated the potential pathogenicity and genetic characteristics of ST314 Salmonella Kentucky(S.Ken-tucky)isolates from a broiler slaughterhouse.Antimicrobial susceptibility testing and whole-genome sequencing(WGS)were used to determine antimicrobial resistance,virulence factors,and the presence of antimicrobial resistance genes(ARGs)and mobile genetic elements(MGEs)among the isolates.The three multidrug resistant(MDR)isolates exhibited high resistance to multiple antimicrobial agents.The F4-2S strain exhibited resistance to 14 drugs across seven categories,whereas the F4T strain showed resistance to 13 drugs in the same number of categories.In contrast,the Y23 strain was resistant to nine drugs in six categories.Notably,F4-2S dem-onstrated high homology with F4T:both possessed 13 ARGs distributed across nine categories,in addition to a wide range of virulence factors,including secretion systems and effector proteins.The presence of IncR and IncX1 plasmids significantly enhanced both the antimicrobial resistance and pathogenicity of the isolates.The genome map of Y23 revealed a chromosome alongside two plasmids.The chromosome containedonly one resistance gene but several virulence factors,including the type III secretion system(T3SS),which is crucial for bacterial invasion.The plasmid pY23-1 contained eight types of 19 ARGs.Comparative analysis indicated that pY23-1 ex-hibited high homology with pZ1323SSL0055 and pSAL-045,all of which contained multiple ARGs,thus suggesting critical roles of these genes in the evolution of bacterial resistance.In conclusion,ST314 S.Kentucky demonstrated a complex mechanism of resis-tance coupled with significant pathogenic potential.The ARGs and MGEs in the plasmid contributed to the emergence and dissemina-tion of antimicrobial resistance.The multiple virulence factors present in the chromosome may be key factors driving the increasing virulence of ST314 S.Kentucky.

Objective:To gain an in-depth understanding of the barriers to active management in elderly patients with chronic heart failure (CHF) and to provide evidence for targeted interventions.Methods:A descriptive qualitative research method was adopted. Using purposive sampling, a total of 14 elderly CHF patients admitted to the Department of Cardiovascular Medicine, the First Affiliated Hospital of Bengbu Medical College, from January to February 2025 were selected as study participants. Based on the Theoretical Domains Framework (TDF), a semi-structured in-depth interview guide was developed. NVivo 12.0 software was used to organize and code the data, and directed content analysis was applied.Results:Eight TDF-related domains of barriers were identified and summarized into four themes: misconceptions of disease and information processing barriers (knowledge; memory, attention, and decision processes) ; dependence on family members and limited accessibility of medical resources (social influence; environmental context and resources) ; negative goal motivation and low management confidence (goals; beliefs about consequences and capabilities) ; and emotional management obstacles and fatigue from self-regulation (emotion) .Conclusions:On the basis of meeting elderly CHF patients' knowledge needs, healthcare professionals should expand their access to information, improve social support systems, stimulate intrinsic motivation and self-efficacy, and alleviate negative emotions and fatigue related to self-regulation, thereby enhancing the positivity of self-health management and achieving sustainability in health management.