Indobufen is a new generation of antiplatelet agents and has been shown to have antithrombotic effects in animal models. However, its therapeutic potential and mechanisms against cerebral ischemia/reperfusion (I/R) injury remain unclear. In this study, we evaluated the in vivo neuroprotective effects of indobufen through both pretreatment and posttreatment regimens in a rat model of middle cerebral artery occlusion/reperfusion (MCAO/R). In vitro, human umbilical vein endothelial cells (HUVECs) subjected to oxygen-glucose deprivation/reoxygenation (OGD/R) were employed to investigate the relationship between indobufen and the pyroptosis-associated NF-κB/Caspase-1/GSDMD pathway. The pharmacodynamic tests revealed that indobufen ameliorated I/R injury by decreasing the level of thromboxane B2 (TXB2), infarct size, brain edema and neurological impairment in rats and rescuing cell pyroptosis in HUVECs. The underlying mechanisms were probably related to pyroptosis suppression by regulating the NF-κB/Caspase-1/GSDMD pathway. Overall, these studies indicate that indobufen exerts protective and therapeutic effects against I/R injury by pyroptosis suppression via downregulating NF-κB/Caspase-1/GSDMD pathway.

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.

ObjectiveBased on the theory of "spleen governing transportation and transformation"， this study investigates the efficacy of Atractylodis Macrocephalae Rhizoma processed with Aurantii Fructus Immaturus juice（AMR-AFI） in improving slow-transit constipation（STC）， as well as the synergistic regulatory mechanism involving the microbiota-metabolism axis， thereby elucidating the scientific basis of its processing theory. MethodsAnimals were randomly divided into the control group， model group， positive drug（mosapride） group（3 mg·kg^-1）， and low-， medium-， and high-dose groups of AMR-AFI（3.9， 7.8， 15.6 g·kg^-1）. Except for the control group， the remaining five groups were induced with STC using loperamide hydrochloride. Following modeling， interventions were administered. All groups received continuous administration for 15 d， during which fecal samples， colon tissue， and serum were collected. Constipation improvement was assessed by measuring fecal moisture content and small intestinal propulsion rate， histological morphology of colonic tissue was observed via hematoxylin-eosin（HE） staining， and the levels of interleukin（IL）-6， tumor necrosis factor（TNF）-α， and IL-2 in serum were detected using enzyme-linked immunosorbent assay（ELISA）. Furthermore， the microbial community structure in mouse feces was analyzed by 16S rRNA sequencing， while transcriptomic sequencing was employed to screen differentially expressed genes in colonic tissue， followed by gene ontology（GO） and Kyoto Encyclopedia of Genes and Genomes（KEGG） enrichment analyses. Finally， Spearman correlation analysis was conducted to explore the association between differential microbiota and differential genes. ResultsCompared with the control group， the intestinal propulsion rate and fecal moisture content in the model group were significantly decreased（P<0.01）， while serum levels of IL-6， TNF-α， and IL-2 were significantly elevated（P<0.01）. HE staining showed damage and shedding of colonic mucosal epithelial cells， along with a reduction in goblet cells in the model group. In comparison with the model group， all treatment groups improved the pathological state of the colonic mucosa to varying degrees and reduced serum levels of IL-6， TNF-α， and IL-2（P<0.01）. Among these， the high-dose group of AMR-AFI significantly increased the intestinal propulsion rate and fecal moisture content of rats（P<0.05， P<0.01）. Further transcriptomic analysis revealed that a total of 104 differentially expressed genes were identified from comparisons between the model group and the control group， as well as between the model group and the high-dose group of AMR-AFI. These genes were mainly enriched in pathways closely related to STC pathogenesis， such as arachidonic acid metabolism and aldosterone-regulated sodium reabsorption. 16S rRNA sequencing results indicated that AMR-AFI reversed the structural imbalance of the gut microbiota in model mice， increased species richness， downregulated the relative abundance of pro-inflammatory bacteria such as Parasutterella， and enriched beneficial and butyrate-producing bacteria， including Lachnospiraceae_NK4A136_group， Ruminococcaceae， and Lachnospiraceae. Spearman correlation analysis further showed that the beneficial bacteria enriched in the AMR-AFI group were negatively correlated with genes involved in the arachidonic acid metabolic pathway and positively correlated with genes in the aldosterone-regulated sodium reabsorption pathway. In contrast， pro-inflammatory bacteria in the model group exhibited the opposite correlation trends. ConclusionAMR-AFI can effectively exert synergistic therapeutic effects on STC by regulating intestinal microbiota， arachidonic acid-mediated inflammatory metabolism， and aldosterone-regulated water-salt balance pathways.

ObjectiveBased on the theory of "spleen governing transportation and transformation"， this study investigates the efficacy of Atractylodis Macrocephalae Rhizoma processed with Aurantii Fructus Immaturus juice（AMR-AFI） in improving slow-transit constipation（STC）， as well as the synergistic regulatory mechanism involving the microbiota-metabolism axis， thereby elucidating the scientific basis of its processing theory. MethodsAnimals were randomly divided into the control group， model group， positive drug（mosapride） group（3 mg·kg^-1）， and low-， medium-， and high-dose groups of AMR-AFI（3.9， 7.8， 15.6 g·kg^-1）. Except for the control group， the remaining five groups were induced with STC using loperamide hydrochloride. Following modeling， interventions were administered. All groups received continuous administration for 15 d， during which fecal samples， colon tissue， and serum were collected. Constipation improvement was assessed by measuring fecal moisture content and small intestinal propulsion rate， histological morphology of colonic tissue was observed via hematoxylin-eosin（HE） staining， and the levels of interleukin（IL）-6， tumor necrosis factor（TNF）-α， and IL-2 in serum were detected using enzyme-linked immunosorbent assay（ELISA）. Furthermore， the microbial community structure in mouse feces was analyzed by 16S rRNA sequencing， while transcriptomic sequencing was employed to screen differentially expressed genes in colonic tissue， followed by gene ontology（GO） and Kyoto Encyclopedia of Genes and Genomes（KEGG） enrichment analyses. Finally， Spearman correlation analysis was conducted to explore the association between differential microbiota and differential genes. ResultsCompared with the control group， the intestinal propulsion rate and fecal moisture content in the model group were significantly decreased（P<0.01）， while serum levels of IL-6， TNF-α， and IL-2 were significantly elevated（P<0.01）. HE staining showed damage and shedding of colonic mucosal epithelial cells， along with a reduction in goblet cells in the model group. In comparison with the model group， all treatment groups improved the pathological state of the colonic mucosa to varying degrees and reduced serum levels of IL-6， TNF-α， and IL-2（P<0.01）. Among these， the high-dose group of AMR-AFI significantly increased the intestinal propulsion rate and fecal moisture content of rats（P<0.05， P<0.01）. Further transcriptomic analysis revealed that a total of 104 differentially expressed genes were identified from comparisons between the model group and the control group， as well as between the model group and the high-dose group of AMR-AFI. These genes were mainly enriched in pathways closely related to STC pathogenesis， such as arachidonic acid metabolism and aldosterone-regulated sodium reabsorption. 16S rRNA sequencing results indicated that AMR-AFI reversed the structural imbalance of the gut microbiota in model mice， increased species richness， downregulated the relative abundance of pro-inflammatory bacteria such as Parasutterella， and enriched beneficial and butyrate-producing bacteria， including Lachnospiraceae_NK4A136_group， Ruminococcaceae， and Lachnospiraceae. Spearman correlation analysis further showed that the beneficial bacteria enriched in the AMR-AFI group were negatively correlated with genes involved in the arachidonic acid metabolic pathway and positively correlated with genes in the aldosterone-regulated sodium reabsorption pathway. In contrast， pro-inflammatory bacteria in the model group exhibited the opposite correlation trends. ConclusionAMR-AFI can effectively exert synergistic therapeutic effects on STC by regulating intestinal microbiota， arachidonic acid-mediated inflammatory metabolism， and aldosterone-regulated water-salt balance pathways.

Objective:To evaluate the effectiveness of an integrated management model involving the Centers for Disease Control and Prevention (CDC), general hospitals, and community health service centers in improving outcomes for community-dwelling patients with chronic obstructive pulmonary disease (COPD), with the aim of optimizing existing COPD management strategies.Methods:This study was a cluster randomized controlled trial. From January to March 2022, a total of 236 patients with COPD were recruited from four communities in Chibi City, Hubei Province. Ultimately, 223 patients completed follow-up and participated in the intervention evaluation. The participants were cluster-randomized into an intervention group ( n=121) and a control group ( n=102). The intervention group received a one-year "trinity" integrated community management model, while the control group received only basic follow-up. Face-to-face questionnaires were administered before and after the intervention to collect data on demographics, disease awareness, risk factors, respiratory symptoms, medication use, and disease management. Quality of life scores and pulmonary function tests were also assessed. Pre-and post-intervention outcomes were compared using t-tests or chi-square tests. Results:The intervention group demonstrated significantly higher rates of COPD awareness and disease-related knowledge compared to the control group (94.12% vs 77.78% and 78.15% vs 49.49%; both P<0.05), along with lower overall smoking rate and current smoking rate (57.14% vs 70.71% and 29.41% vs 47.47%; both P<0.05). The intervention group showed reduced household polluting fuel use for heating (17.65% vs 28.93%; P<0.05), while the control group exhibited no significant change. Significant improvements were observed in the intervention group for inhaler medication usage (14.05% vs 2.94%), exercise training, and respiratory muscle training (22.31% vs 2.94% and 26.45% vs 0.98%)(all P<0.05). Additionally, the intervention group reported lower prevalence of chronic sputum production, wheezing, and dyspnea (12.40%, 0.83%, 27.27% vs 24.51%, 9.80%, 41.18%; all P<0.05) compared to controls. Pulmonary function tests revealed that the percentage of forced expiratory volume in one second (FEV 1%predicted) was significantly higher in the intervention group than in the control group [(69.53±18.01)% vs (54.90±12.39)%; both P<0.05]. Conclusions:The "trinity" integrated management model effectively enhances health literacy, self-management capabilities, and quality of life among COPD patients, while reducing behavioral risk factors. This model aligns with the long-term and individualized management needs of COPD patients.

Objective Melatonin has been shown to have neuroprotective effects.This study is aimed at observing the effects of copper deposition on cognitive function in a toxic milk(TX)mouse model of Wilson disease(WD),and investigating the effects and mechanisms of action of Gandou Bushen Decoction(GDBSD)on melatonin synthesis and pineal function in the WD model mice.Methods A total of 30 homozygous TX mice were randomly assigned to 3 groups(n=10 in each group),including a WD group,a GDBSD group,and a dimercaptosuccinic acid(DMSA)group.A total of 10 DL mice were included in the normal control(NC)group.The structure and copper content of pineal gland tissues,oxidative stress and apoptosis-related markers,and serum melatonin levels were evaluated using hematoxylin-eosin(HE)staining,enzyme-linked immunosorbent assay(ELISA),flow cytometry,and Western blot.Results Compared with the NC group,the WD group exhibited decreased learning and cognitive abilities(P＜0.05),damaged pineal gland structure,increased copper content,reactive oxygen species(ROS)levels,and mitochondrial damage rate in the pineal gland(P＜0.01),altered levels of melatonin and oxidative stress-related markers(P＜0.05),upregulated expression levels of pro-apoptotic proteins Bax and Caspase-3,and decreased expression of the anti-apoptotic protein Bcl-2(P＜0.01).After treatment with GDBSD and DMSA,the SIRT3/FOXO3α signaling pathway was activated,the copper content in the pineal gland was reduced,and oxidative stress and apoptosis-related damages were improved,leading to an improvement in learning and memory abilities(P＜0.05).Conclusion GDBSD can alleviate cognitive impairments in WD mice caused by pineal gland copper deposition by inhibiting oxidative stress and apoptosis in the pineal gland.The underlying molecular mechanism is associated with the regulation of the SIRT3/FOXO3α signaling pathway.

Non-cystic fibrosis bronchiectasis(referred to as bronchiectasis)is a common chronic airway disease.Neutrophils have traditionally been considered to play a dominant role in the airway inflammation of bronchiectasis.However,it has been discovered that approximately 20％to 30％of bronchiectasis patients exhibited elevated eosinophil counts(Sputum eosinophil ratio＞3％or blood eosinophil count＞300/μl)in their sputum and blood samples,referred to as eosinophilic bronchiectasis(EB).Based on this novel discovery of the inflammatory phenotype,some scholars have advocated treating bronchiectasis as an"inflammatory disease"rather than an"infectious disease"in a novel therapeutic approach.This article reviews the discovery and the latest research advancements of EB,exploring its pathophysiological basis,clinical characteristics,and treatment,with the aim to facilitate the understanding and management of EB.

Lung cancer has the highest incidence and mortality among malignant tumors in China.Persistent subsolid nodules(SSNs)are closely associated with early-stage lung adenocarcinoma.Artificial intelligence(AI),as an emerging technology,is capable of performing in-depth analysis of large-scale imaging data through autonomous learning and possesses the ability to predict outcomes from new data,demonstrating great potential and application prospects in the assessment of SSNs.AI can not only effectively assist radiologists in diagnosis and treatment,but also improve work efficiency while reducing misdiagnosis and missed diagnosis rates.This review summarizes the recent applications and research progress of AI in the assessment of SSNs,to provide new insights for the diagnosis and treatment of SSNs.

Objective To analyze the efficacy and safety of ustekinumab(UST)in patients with moderate-to-severe Crohn's disease(CD),and to identify factors influencing clinical outcomes.Methods Data were retrospectively collected from patients with moderate-to-severe CD treated with UST in the First Affiliated Hospital of Zhejiang Chinese Medical University and Hangzhou Hospital of Traditional Chinese Medicine between November 2020 and May 2023.Patients were categorized into first-line(not treated with biologic agents,n=68)and second-line(treated with biologic agents,n=66)treatment groups based on prior use of biologic agents.Baseline characteristics,including age,sex,smoking status,disease duration,age at diagnosis,lesion site,disease behavior,perianal disease,history of intestinal surgery,and CD-related drug use,were compared between the two groups.Crohn's disease activity indices(CDAI)were recorded at baseline,week 14,and week 52 to assess the clinical efficacy at weeks 14 and 52.Endoscopic evaluations were performed at baseline and week 52 to evaluate endoscopic efficacy at week 52.The 52-week drug persistence rate and safety profile were also analyzed.Influencing factors related to clinical outcomes were evaluated using univariate and multivariate logistic regression.Results A total of 134 patients with moderate-to-severe CD treated with UST were included.At week 14,clinical response and remission rates were 75.4%(101/134)and 33.6%(45/134),respectively,with no significant difference in clinical efficacy between first-line and second-line groups(clinical response rate:77.9%vs.72.7%,P=0.484;clinical remission rate:38.2%vs.28.8%,P=0.247).At week 52,clinical response and remission rates were 79.9%(107/134)and 56.0%(75/134),respectively.The rates of endoscopic response and remission were 70.9%(95/134)and 38.8%(52/134),respectively.There were no significant differences in clinical efficacy(clinical response rate:80.9%vs.78.8%,P=0.763;clinical remission rate:60.3%vs.51.5%,P=0.306)and endoscopic efficacy(endoscopic response rate:76.5%vs.65.2%,P=0.149;endoscopic remission rate:42.6%vs.34.8%,P=0.354)between the two groups.The 52-week drug persistence rate was 85.8%(115/134),and the adverse reaction rate was 4.5%(6/134).Compared with first-line treatment group,biologic-experienced patients had a significantly higher proportion of dose-optimized therapy in second-line treatment group(45.5%vs.22.1%,P=0.004).Multivariate logistic regression showed that the 14-week clinical response was a significant predictor of 52-week clinical remission,while perianal disease and intestinal surgery history were significant factors associated with treatment failure(P<0.05).Conclusions UST demonstrates significant efficacy in improving clinical and endoscopic outcomes for moderate-to-severe CD patients,with a favorable safety profile.Clinical response at 14 weeks is strongly predictive of clinical remission at 52 weeks.Patients with perianal disease or a history of intestinal surgery were at higher risk of treatment failure.

Objective To investigate the influence and threshold effect of preoperative intraocular pressure(IOP)on secondary glaucoma(SG)after pars plana vitrectomy(PPV).Methods A retrospective analysis was conducted on 88 patients with retinal detachment who developed SG after PPV(SG group)treatment at Hebei Eye Hospital from January 2020 to January 2024.Meanwhile,88 patients with retinal detachment who underwent PPV at the same hospital during the same period but did not develop SG postoperatively were selected as non-SG group in a 1:1 ratio.Univariate analysis was used to compare the differences in clinical data between the two groups.A stratified regression model was applied to analyze the correlation between postoperative characteristics and preoperative IOP.Multivariate logistic regression analysis was used to identify the factors affecting the occurrence of SG after PPV,with multicollinearity diagnosis and sensitivity analysis performed for the parameters.Additionally,the threshold effect of preoperative IOP on the risk of postoperative SG was analyzed.A predictive model was constructed based on the results of multivariate logistic regression.The receiver operating characteristic(ROC)curve was employed to evaluate the efficacy and accuracy of the predictive model,while the calibration curve and clinical decision curve were utilized to assess the consistency between the predictive model and actual conditions as well as the clinical practicality of the model.Results Compared with non-SG group,SG group had a higher proportion of patients with a history of diabetes,family history of glaucoma,a higher preoperative IOP,higher proportion of postoperative closed anterior chamber angle status,longer silicone oil tamponade duration(≥6 months),higher incidence of silicone oil emulsification(P<0.05).Postoperative anterior chamber angle status(closed)was significantly positively correlated with preoperative IOP levels(P<0.05).Multivariate logistic regression analysis showed that history of diabetes,family history of glaucoma,silicone oil emulsification,postoperative anterior chamber angle closure,silicone oil tamponade duration≥6 months,and preoperative IOP≥21 mmHg were independent risk factors for SG after PPV(P<0.05).Multicollinearity diagnosis indicated no significant collinearity among the above variables.Sensitivity analysis showed that the association tended to be null when E=5.014.With the increase of preoperative IOP,the probability of SG after PPV in patients showed an upward trend.The threshold effect analysis revealed that when preoperative IOP≥19 mmHg,the probability of SG after PPV increased significantly with the elevation of preoperative IOP(OR=2.942,95%CI 1.794-4.826,P<0.001).After adjusting for covariates,preoperative IOP remained an independent influencing factor for different degrees of SG after PPV(OR=7.392,95%CI 1.379-12.510,P=0.001).Before and after validation,the area under the ROC curves(AUCs)of the model for predicting SG after PPV were 0.987(95%CI 0.974-1.000,P<0.001)and 0.989(95%CI 0.969-1.000,P<0.001),with sensitivities of 0.9332 and 0.9545,and specificities of 0.9981 and 0.9773,respectively.Both the calibration curve and decision curve analysis demonstrated that the predictive model had good discrimination and accuracy.Conclusion Preoperative IOP is an influencing factor and a sensitive indicator for the development of SG after PPV in patients with retinal detachment.