ObjectiveThis study aims to improve the management efficiency of zebrafish strains and zebrafish facilities and to transform the traditional management model that relies on manual labor. The goal is to promote a comprehensive transition from traditional manual operation to standardized, digitalized, automated, and refined management, thereby significantly improving management quality and work efficiency. MethodsThe research group independently developed the "Zebrafish Facility and Zebrafish Strain Automation Management System V1.0" (Software Copyright Registration No. 2021SR0236837), which comprehensively recorded all operational data of the zebrafish facilities and completed data on zebrafish strains. By combining in-depth mining of these data with management experience, management regulations were transformed into executable system instruction sets, and a full-process automated closed-loop management framework of "Monitoring–Analysis–Early Warning–Task Assignment–Execution–Recording" was established. ResultsThis management system has been operating stably for 5 years and has been successfully applied in 3 zebrafish facilities, cumulatively supporting 78 researchers and efficiently managing 1 108 plasmids and 1 123 zebrafish strains, among which 291 strains has been incorporated into zebrafish sperm bank management. A Likert scale survey of 28 core users covering 14 evaluation dimensions across 4 major categories showed average scores of 4.46–4.89, all far above the midpoint (3 points) of the scale, indicating that users gave high evaluations to all dimensions of the system. Meanwhile, the standard deviations of most dimensions were low (s ≤ 0.44), reflecting good consistency in user evaluations. ConclusionThis study integrates information technology, big data analysis, and modern management concepts to achieve a virtuous cycle of "data collection–analysis and execution–system optimization" in zebrafish facility management. It significantly improves management efficiency and refinement and promotes the development of management models toward automation.

ObjectiveThe present study aimed to investigate alterations in white matter microstructure and spontaneous neural activity in male college smokers, and to further explore their associations with nicotine dependence. Given that adolescence and early adulthood represent critical periods for brain maturation, particularly for white matter development, understanding the neural correlates of smoking behavior during this stage is of substantial importance for both neuroscience and public health. MethodsA total of 115 male undergraduate students were initially recruited for this study. After quality control and exclusion procedures, 52 male college smokers and 42 demographically matched healthy non-smokers were included in the final analysis. All participants underwent multimodal magnetic resonance imaging (MRI), including diffusion tensor imaging (DTI) and resting-state functional MRI (rs-fMRI). White matter fiber tracts were reconstructed using the automated fiber quantification (AFQ) method, which enables precise identification and quantification of major fiber bundles. Eighteen major white matter tracts were segmented for each participant. Along the core trajectory of each tract, 100 equidistant nodes were sampled. Fractional anisotropy (FA) was calculated at each node to assess white matter microstructural integrity, while amplitude of low-frequency fluctuation (ALFF) was computed to evaluate spontaneous neural activity within white matter tracts. Between-group differences in FA and ALFF were assessed using two-sample t-tests, with appropriate corrections applied for multiple comparisons. Furthermore, Pearson correlation analyses were conducted to examine the relationships between imaging-derived metrics (FA and ALFF values in regions showing significant group differences) and nicotine dependence severity, as measured by the Fagerström test for nicotine dependence (FTND). ResultsCompared with healthy non-smokers, male college smokers exhibited significantly increased FA values in several white matter tracts, including the left thalamic radiation, right corticospinal tract, forceps major of the corpus callosum, left uncinate fasciculus, and right arcuate fasciculus. These findings suggest altered microstructural organization or increased directional coherence within these pathways. In addition, smokers demonstrated significantly elevated ALFF values in the forceps major, right uncinate fasciculus, and left arcuate fasciculus, indicating enhanced spontaneous neural activity in these white matter regions. Correlation analyses revealed that FA values in the left thalamic radiation and right corticospinal tract were negatively correlated with FTND scores, suggesting that higher levels of nicotine dependence were associated with reduced microstructural integrity or altered fiber organization in these regions. In contrast, ALFF values in the forceps major and right uncinate fasciculus were positively correlated with FTND scores, indicating that greater nicotine dependence was associated with increased spontaneous neural activity in specific white matter pathways. ConclusionThe present study provides evidence that male college smokers exhibit distinct alterations in both white matter microstructure and functional activity. These abnormalities are not uniformly distributed but rather localized to specific fiber tracts implicated in sensorimotor processing, interhemispheric communication, and higher-order cognitive and emotional regulation. Importantly, the observed associations between imaging metrics and nicotine dependence severity suggest that these structural and functional alterations may reflect neurobiological mechanisms underlying addiction. The combination of AFQ-based tract profiling and multimodal MRI offers a sensitive approach for detecting subtle changes along white matter pathways, highlighting its potential utility in identifying neuroimaging biomarkers of nicotine dependence. Overall, these findings indicate that smoking during early adulthood may disrupt ongoing white matter maturation, potentially leading to long-term consequences for brain function. This study provides novel insights into the neural basis of nicotine dependence and underscores the importance of early intervention and prevention strategies targeting young smokers.

ObjectiveTo explore the feasibility of constructing a programmed death receptor-1（PD-1） molecular probe for non-invasive micro-positron emission tomography/computed tomography （Micro-PET/CT） imaging of PD-1 protein in mouse S180 sarcoma. MethodsA transgenic PD-1 C57 S180 sarcoma mouse model was established using the S180 sarcoma cell injection. Furthermore， ¹²⁴I-anti-PD-1 monoclonal antibody probe was synthesized. 18.5 MBq of the ¹²⁴I-anti-PD-1 probe was injected into the tail vein of transgenic PD-1 C57 mice. Subsequently， S180 sarcoma was imaged using Micro-PET/CT. ResultsStudy successfully established a transgenic PD-1 C57 S180 sarcoma mouse model. Immunohistochemical （IHC） results showed PD-1 protein expression in S180 sarcoma. Micro-PET/CT imaging successfully visualized the PD-1 protein receptor in S180 sarcoma at different time points （20， 48， 72， and 120 h） after probe injection. ConclusionThe ¹²⁴I-anti-PD-1 monoclonal antibody molecular probe successfully targets the PD-1 receptor in S180 sarcoma of transgenic PD-1 C57 mice， and presents clear Micro-PET/CT immunoassay results， thus it potentially enables the non-invasive screening of patients with PD-1 positive malignant tumors.

Gastric ulcer （GU） is a high-incidence digestive system disease characterized pathologically by disruption of gastric mucosal integrity， with clinical features including a prolonged course and periodic recurrence. Modern medicine attributes its pathogenesis to the dynamic imbalance between aggressive and defensive factors，while traditional Chinese medicine （TCM） posits its development as closely linked to spleen deficiency. Current therapies combining acid suppressants and antibiotics face challenges such as high recurrence rates，poor mucosal healing，and adverse drug reactions. Long-term use may induce metabolic disturbances like hypergastrinemia and reduced intestinal microbiota diversity. Therefore，exploring safer and longer-lasting therapeutic strategies has become a critical focus. TCM has extensive clinical experience and unique advantages in GU prevention and treatment. Studies demonstrate that the classic formula Shenling Baizhu San exhibits therapeutic properties of "invigorating spleen and tonifying Qi to restore physiological balance and eliminating dampness and regulating middle energizer to unblock Qi movement"， enabling a holistic approach targeting both symptoms and root causes in GU with spleen deficiency as the core pathology by suppressing aggressive factors and strengthening defensive factors. Experimental research reveals its mechanisms involve enhancing the physicochemical barrier of the mucus layer，repairing epithelial barriers and microcirculation，modulating gastric acid secretion and gastrointestinal motility，and regulating microecological barriers and mucosal immunity. Clinical evidence confirms its synergistic effects in promoting ulcer healing，improving Helicobacter pylori eradication rates，and reducing recurrence risks. This review examined the etiology and pathogenesis of GU and systematically evaluated Shenling Baizhu San from three perspectives-clinical application，pharmacological effects， and experimental research-to provide insights for optimizing integrated traditional Chinese and Western medicine protocols and expanding its clinical applications.

BACKGROUND:Although previous studies have reported associations between lipids and the risk of osteoporotic pathological fractures,the specific causal relationships between lipid level and osteoporotic pathological fractures remain unclear.OBJECTIVE:To elucidate the causal relationship between lipids and osteoporotic pathological fractures using a two-sample bidirectional Mendelian randomization analysis.METHODS:The data for 178 lipid metabolites were obtained from the IEU-GWAS database(developed by the MRC Integrative Epidemiology Unit at the University of Bristol,UK,which provides extensive summary data from genome-wide association studies),while osteoporotic pathological fracture data(from 173 619 European participants)were acquired from the FinnGen database(constructed by the Finnish national gene research program,focusing on investigating relationships between genomics and health/disease in the Finnish population).Osteoporotic pathological fracture data were used as the outcome variable,with lipids serving as exposures,for the bidirectional Mendelian randomization study to evaluate the causal effects of different lipids on osteoporotic pathological fractures.The UK Biobank database was employed as a validation set by switching the outcome variable to verify the findings horizontally.RESULTS AND CONCLUSION:(1)The inverse variance weighted analysis indicated that each unit increase in sterol ester(27∶1/20∶2)levels was associated with a 25.55％increase in the risk of osteoporotic pathological fractures(odds ratio=1.256,95％confidence interval:1.001-1.575,P=0.049),suggesting a significant positive correlation between elevated sterol ester levels and increased fracture risk.Reverse Mendelian randomization analysis revealed a significant negative association between osteoporotic pathological fractures and three types of phosphatidylcholine.Horizontal validation yielded consistent results,confirming sterol ester as a risk factor for osteoporotic pathological fractures.(2)The results indicate that sterol ester is a risk factor for osteoporotic pathological fractures,while phosphatidylcholine serves as a protective factor.These findings strengthen the evidence supporting the effect of lipids on the risk of osteoporotic pathological fractures.Although the GWAS data used in this study were derived from European populations,given the broad commonality of human genetics,the results provide valuable reference significance for improving osteoporosis in Chinese populations through lipid regulation.

ObjectiveTo explore the effect of presentation-assimilation-discussion (PAD) classroom model-based classroom-community collaborative teaching on course of sports rehabilitation therapy under the background of sports-medicine integration. MethodsFrom Febrary, 2024 to June, 2025, a total of 46 undergraduate students majoring in sports rehabilitation (Grade 2022, Capital University of Physical Education and Sports) were randomly divided into control group (n = 23) and experimental group (n = 23). The control group received routine lectures combined with laboratory practice, while the experimental group was taught using a classroom-community collaborative teaching based on PAD classroom structure. The two groups were compared in terms of excellent rate in practical assessment, achievement in higher-order dimensions of Bloom's Taxonomy, real-case rehabilitation scenario transformation ability and teaching satisfaction at the end of the semester. ResultsAt the end of the semester, the excellent rate in practical assessment was 60.87% in the experimental group, higher than 21.74% in the control group (χ² = 7.725, P < 0.05), while the scores in the analyse, evaluation and creation dimensions of Bloom's Taxonomy were significantly higher (t > 8.490, P < 0.001), real-case rehabilitation scenario transformation ability was better (t > 3.873, P < 0.001) and teaching satisfaction was higher (χ² = 8.576, P = 0.003). ConclusionPAD-based classroom-community collaborative teaching can effectively improve practical skills, higher-order cognitive abilities and practical application abilities among students majoring in sports rehabilitation.

Optical microscopy is essential for exploring biological and material structures, with resolution determining the level of observable detail. The advent of super-resolution fluorescence microscopy has broken the diffraction limit, achieving nanoscale resolution. However, traditional assessment methods, such as the Rayleigh criterion and point spread function (PSF) width measurement, rely on empirical judgments and diffraction-limited models, rendering them inadequate for modern super-resolution imaging. This review systematically traces the evolution of resolution assessment methodologies, from classical criteria to advanced strategies tailored for various super-resolution modalities. We first discuss Fourier-based quantitative methods. Fourier ring correlation (FRC) and its 3D counterpart, Fourier shell correlation (FSC), objectively determine resolution by evaluating the statistical correlation of two independent image reconstructions in frequency space. These methods offer robustness against noise and provide a global resolution metric, but they require data independence and are computationally intensive. They have become the prevailing standards in electron and super-resolution microscopy. Subsequently, we examine adaptations for specific super-resolution techniques. For single-molecule localization microscopy (SMLM) techniques such as PALM and STORM, the Fourier image resolution (FIRE) method extends FRC by incorporating a physical model that accounts for localization precision and labeling density. For stimulated emission depletion (STED) microscopy and other nonlinear techniques, assessment strategies differ. While PSF shrinkage measurements using fluorescent beads are useful for system calibration, evaluating the effective resolution directly on biological samples is more practical. This is typically performed via linewidth analysis of known structures (e.g., microtubules) or edge-spread function measurements, capturing the effects of photobleaching and sample-induced aberrations. A major paradigm shift is parameter-free resolution estimation based on decorrelation analysis. This method analyzes the autocorrelation decay of a single image’s Fourier spectrum to identify the cutoff spatial frequency without requiring dual datasets or user-defined thresholds. Its high efficiency and broad applicability have been validated across widefield, confocal, STED, SIM, and SMLM modalities. Optimized rendering strategies for SMLM data further enhance its accuracy, and it is emerging as a tool for real-time optimization of experimental parameters. The review also addresses the “gold standard” of resolution validation using well-defined nanostructures, such as DNA origami and nuclear pore complexes, which provide ground truth for verifying resolution claims and detecting artifacts. In the era of artificial intelligence, deep learning plays a dual role: it powerfully enhances image resolution but also introduces challenges, as models may generate “hallucinations” or false details. This underscores the need for new validation metrics to verify the physical fidelity of AI-generated content. Finally, we outline future directions: developing unified cross-modality standards, enabling real-time dynamic resolution monitoring for live-cell imaging, creating techniques for generating local resolution maps to capture sample heterogeneity, and integrating intelligent error correction to ensure data veracity. By providing a comprehensive overview of resolution assessment progress and challenges, this review aims to equip researchers with the knowledge to select appropriate tools, thereby fostering rigorous quantitative imaging in the life and material sciences.

With the rapid advancement of hemodynamic indices and monitoring technologies, their classification methods and application processes have become increasingly complex. Currently, no unified standard hasbeen established, making it difficult to fully meet the clinical requirements for hemodynamic management. To assist in hemodynamic monitoring assessment and therapeutic decision-making in critically ill patients, the Critical Hemodynamic Therapy Collaborative Group, in conjunction with the Critical Ultrasound Study Group, has jointly developed the Standard for the Application of Hemodynamic Monitoring Techniques in Critical Care. The first part of this standard systematically categorizes hemodynamic indicators into flow indicators, pressure and its derivative indicators, and tissue perfusion indicators, while elaborating on the clinical application of each. The second part establishes a standardized clinical implementation pathway for hemodynamic monitoring. It proposes a tiered monitoring strategy-comprising basic, advanced, indication-specific, and special scenario monitoring-tailored to different clinical settings. It emphasizes the central role of critical care ultrasound across all levels of monitoring and establishes hemodynamic assessment standards for organs such as the brain, kidneys, and gastrointestinal tract. This standard aims to provide a unified framework for clinical practice, teaching, training, and research in critical care medicine, thereby promoting standardized development within the discipline.

Objective To explore the efficacy and safety of converting the triple immunosuppressive regimen of tacrolimus (Tac) + mycophenolate mofetil (MMF) + prednisone (Pred) to a quadruple regimen of low-dose sirolimus (SRL) + low-dose Tac + MMF + Pred at 3 to 6 months after expanded criteria donor (ECD) kidney transplantation. Methods A single-center, retrospective, donor-matched controlled study included 22 ECD kidney transplant recipients from September 2021 to June 2024. Two recipients from the same donor kidneys were respectively assigned to the SRL group and the conventional triple regimen control group. The main outcome measures were the differences in serum creatinine (Scr), estimated glomerular filtration rate (eGFR), and adverse events before the regimen conversion and after conversion during the 1, 3, 6, and 12-month follow-up. Results There were no statistically significant differences in baseline characteristics between the two groups. In the SRL group, Scr decreased and eGFR increased starting from 3 months after conversion, and this was superior to the control group starting from 6 months(all P < 0.05). There were no statistically significant differences in the incidence of rejection reactions, pulmonary infections, hyperlipidemia and proteinuria between the two groups after conversion and during the 12-month follow-up (all P > 0.05). Conclusions For ECD kidney transplant recipients, converting the triple regimen to the SRL quadruple regimen at 3 to 6 months after transplantation may improve the function of the transplanted kidney without increasing the risk of adverse events.

ObjectiveBased on the established characteristic profiles， quantitative analysis of multiple components， and chemometric analysis of Taraxacum mongolicum， the quality of different T. mongolicum germplasms was evaluated at the chemical level， thereby providing a reference for the screening of high-quality germplasms and the rational utilization of wild resources. MethodsAn ultra-performance liquid chromatography （UPLC） was employed to establish characteristic profiles. Principal component analysis （PCA） and partial least squares-discriminant analysis （PLS-DA） were then adopted to screen and comprehensively rank marker compounds. ResultsThe UPLC fingerprint of T. mongolicum germplasm identified 13 chromatographic peaks corresponding to gallic acid， coumaric acid， neochlorogenic acid， monocaffeoyltartaric acid， chlorogenic acid， cryptochlorogenic acid， caffeic acid， p-coumaric acid， cichoric acid， luteoloside， isochlorogenic acid B， isochlorogenic acid A， and isochlorogenic acid C. Combined with chemometric analysis such as PCA and PLS-DA， eight core markers （cichoric acid， luteoloside， cryptochlorogenic acid， isochlorogenic acid B， chlorogenic acid， caffeic acid， isochlorogenic acid C， and isochlorogenic acid A） were screened for distinguishing wild and cultivated germplasms. Additionally， eight core markers （cichoric acid， caffeic acid， luteoloside， chlorogenic acid， cryptochlorogenic acid， isochlorogenic acid A， monocaffeoyltartaric acid， and neochlorogenic acid） were selected for the evaluation and screening of different T. mongolicum germplasms. ConclusionThis study establishes a UPLC analysis method capable of simultaneously determining 13 characteristic components in T. mongolicum， such as cichoric acid and chlorogenic acid， as well as their precursor compound contents in the biosynthetic pathway. Based on the above methods， three T. mongolicum germplasms （PGY-004， PGY-009， and PGY-010） with promising medicinal potential are selected for subsequent research on variety breeding. The present study provides a reference for quality control of Taraxacum mongolicum， germplasm screening， and the rational development and utilization of wild resources.