ObjectiveIn traditional Chinese medicine (TCM), the foundational doctrine that the eyes reflect the essence of the internal viscera establishes ocular observation as a cornerstone of diagnostic practice. Specifically, the morphological characteristics and coloration variations of the scleral microvasculature serve as critical clinical indicators for assessing the dynamic balance of Qi and Blood, as well as the pathological status of internal organs. Historically, however, TCM eye diagnosis has relied predominantly on the subjective clinical experience and visual acuity of individual practitioners, leading to inherent challenges in standardization and reproducibility. While automated computer-aided diagnostic systems offer a promising solution, existing vessel segmentation algorithms encounter significant domain-specific bottlenecks when applied to scleral imagery. These challenges primarily stem from the highly reflective and moist nature of the ocular surface, which generates severe reflective interference. Furthermore, the inherent low contrast of fine capillary networks against complex background textures, compounded by non-uniform illumination, frequently results in high false-positive rates, misdetections, and severe vessel fragmentation. To address these critical limitations and advance the objective quantification of TCM diagnostics, this paper proposes a novel, highly robust sclera vessel segmentation framework that innovatively integrates Frangi-Sato dual-filter adaptive enhancement with pixel-level reflection detection. MethodsThe proposed methodology systematically addresses the segmentation pipeline through three synergistic stages. First, to overcome the structural limitations of single-filter approaches, a multi-scale weighted fusion strategy is meticulously designed to harness the complementary extraction capabilities of both Frangi and Sato filters. This adaptive enhancement optimally balances the preservation of main vessel trunk continuity with the heightened sensitivity required for delineating delicate, low-contrast peripheral capillaries. Second, to tackle the persistent issue of reflective highlights, a sophisticated multi-feature synergistic reflection detection module is introduced. By jointly analyzing local information entropy, gradient field variations, and intensity statistical distributions, this module achieves precise, pixel-level identification and elimination of reflective artifacts without compromising the underlying vascular structures. Finally, a dual-level adaptive thresholding strategy, featuring an innovative “core protection” mechanism, is implemented. This critical step effectively suppresses complex background noise while rigorously preserving the structural and topological integrity of the intricate vessel network, preventing the structural breaks often seen in conventional binarization methods. ResultsThe efficacy of the proposed framework was rigorously evaluated using both self-constructed clinical datasets specifically acquired for TCM research and standardized public datasets. Extensive experimental results demonstrate that the proposed method consistently outperforms state-of-the-art traditional approaches and contemporary deep learning models. Specifically, the proposed method achieves a Dice similarity coefficient of approximately 0.71 on the private clinical dataset, and secures the best performance across the majority of quantitative metrics on both datasets. Notably, the framework exhibits exceptional robustness and generalization capabilities in highly challenging scenarios characterized by intense reflective interference, low signal-to-noise ratios, and cross-domain image variations. ConclusionThis study successfully realizes the high-integrity, automated segmentation of scleral vessel networks under complex clinical imaging conditions. By overcoming the fundamental algorithmic challenges of reflection interference and micro-vessel loss, the proposed methodology provides potential support for the digitization, objective standardization, and intelligent advancement of modern TCM eye diagnosis systems.

ObjectiveIn traditional Chinese medicine (TCM), the foundational doctrine that the eyes reflect the essence of the internal viscera establishes ocular observation as a cornerstone of diagnostic practice. Specifically, the morphological characteristics and coloration variations of the scleral microvasculature serve as critical clinical indicators for assessing the dynamic balance of Qi and Blood, as well as the pathological status of internal organs. Historically, however, TCM eye diagnosis has relied predominantly on the subjective clinical experience and visual acuity of individual practitioners, leading to inherent challenges in standardization and reproducibility. While automated computer-aided diagnostic systems offer a promising solution, existing vessel segmentation algorithms encounter significant domain-specific bottlenecks when applied to scleral imagery. These challenges primarily stem from the highly reflective and moist nature of the ocular surface, which generates severe reflective interference. Furthermore, the inherent low contrast of fine capillary networks against complex background textures, compounded by non-uniform illumination, frequently results in high false-positive rates, misdetections, and severe vessel fragmentation. To address these critical limitations and advance the objective quantification of TCM diagnostics, this paper proposes a novel, highly robust sclera vessel segmentation framework that innovatively integrates Frangi-Sato dual-filter adaptive enhancement with pixel-level reflection detection. MethodsThe proposed methodology systematically addresses the segmentation pipeline through three synergistic stages. First, to overcome the structural limitations of single-filter approaches, a multi-scale weighted fusion strategy is meticulously designed to harness the complementary extraction capabilities of both Frangi and Sato filters. This adaptive enhancement optimally balances the preservation of main vessel trunk continuity with the heightened sensitivity required for delineating delicate, low-contrast peripheral capillaries. Second, to tackle the persistent issue of reflective highlights, a sophisticated multi-feature synergistic reflection detection module is introduced. By jointly analyzing local information entropy, gradient field variations, and intensity statistical distributions, this module achieves precise, pixel-level identification and elimination of reflective artifacts without compromising the underlying vascular structures. Finally, a dual-level adaptive thresholding strategy, featuring an innovative “core protection” mechanism, is implemented. This critical step effectively suppresses complex background noise while rigorously preserving the structural and topological integrity of the intricate vessel network, preventing the structural breaks often seen in conventional binarization methods. ResultsThe efficacy of the proposed framework was rigorously evaluated using both self-constructed clinical datasets specifically acquired for TCM research and standardized public datasets. Extensive experimental results demonstrate that the proposed method consistently outperforms state-of-the-art traditional approaches and contemporary deep learning models. Specifically, the proposed method achieves a Dice similarity coefficient of approximately 0.71 on the private clinical dataset, and secures the best performance across the majority of quantitative metrics on both datasets. Notably, the framework exhibits exceptional robustness and generalization capabilities in highly challenging scenarios characterized by intense reflective interference, low signal-to-noise ratios, and cross-domain image variations. ConclusionThis study successfully realizes the high-integrity, automated segmentation of scleral vessel networks under complex clinical imaging conditions. By overcoming the fundamental algorithmic challenges of reflection interference and micro-vessel loss, the proposed methodology provides potential support for the digitization, objective standardization, and intelligent advancement of modern TCM eye diagnosis systems.

ObjectiveThis study aimed to elucidate the mechanistic role of Staphylococcus aureus in the pathogenesis of atopic dermatitis (AD), a chronic inflammatory skin disorder characterized by pruritus and barrier dysfunction. A key focus was screening traditional Chinese medicine (TCM) active components with dual antibacterial and antipruritic efficacy, followed by systematic evaluation of their in vitro antibacterial activity. Additionally, a novel drug delivery system was constructed to enable localized efficient drug delivery, inhibiting S. aureus proliferation and alleviating its induced pruritus, thereby providing new strategies for targeted AD therapy. MethodsMale C57BL/6J mice aged 6-8 weeks (body weight 18-22 g) were used to establish an AD model via repeated oxazolone sensitization. On day 14, microbial samples were collected from the lesional area (1 cm²) using sterile cotton swabs, followed by vortex mixing, serial dilution, and plating on 5% sheep blood agar plates (incubated at 37°C for 24 h). Single colonies with complete transparent β-hemolytic zones were isolated and identified as vancomycin-intermediate S. aureus (VISA) via 16S rRNA sequencing. An S. aureus mono-infection animal model was then established by applying gauze saturated with bacterial suspension (McFarland turbidity 0.1) to the nape and back skin of mice. The pruritic phenotype and inflammatory cell infiltration induced by S. aureus were evaluated using comprehensive approaches including behavioral assays (e.g., scratching frequency recording), hematoxylin-eosin (HE) staining, and toluidine blue staining. The in vitro antibacterial efficacy of the TCM monomer pseudolaric acid B (PAB) and double network hydrogel (DN) was separately assessed by disk diffusion assay, while the minimum inhibitory concentration (MIC) of PAB was determined via broth dilution method. Further validation of the pharmacodynamic characteristics of the composite system (PAB@DN, composed of PAB and DN) was conducted through behavioral assays, HE staining, and dermatitis scoring, with its drug release profile evaluated by mass spectrometry analysis. Based on scratching behavioral analysis and dermatitis scoring, the optimal ratio and concentration of PAB@DN were optimized. ResultsThe S. aureus load in AD lesional tissues was significantly higher than in normal skin ((5.3±0.33)×10⁶ CFU vs. (3.6±0.26)×10⁷ CFU, P<0.001). In the S. aureus mono-infection group, mice exhibited a 6.7-fold increase in scratching frequency compared to the control group. HE staining revealed marked epidermal thickening ((10.4±2.39) μm vs. (85.6±1.95) μm, P<0.000 1), and toluidine blue staining showed a 23-fold increase in mast cell degranulation. Pseudolaric acid B exhibited a significant concentration-dependent inhibitory effect onS. aureus growth, with its in vitro antibacterial effect being 57% that of the antibiotic cefepime (inhibition zone diameter: PAB (1.885±0.036) cm vs. cefepime (3.636±0.005) cm, P<0.000 1) and a minimum inhibitory concentration (MIC) of 1 g/L. The carrier double network hydrogel (DN) itself lacked direct antibacterial activity (no significant difference in inhibition zone diameter compared to the control) but effectively ameliorated the dry symptoms of AD-like lesions. The PAB@DN composite system demonstrated a synergistic effect compared to individual components, resulting in a 50% reduction in scratching behavior, an 86% decrease in dermatitis score, and a 60% reduction in epidermal thickening. It also reduced the S. aureus load in mouse skin by approximately 34%, with the optimal effective formulation being PAB at 1 g/L loaded onto DN. ConclusionS. aureus colonization plays a critical driving role in the onset and progression of AD. Using an S. aureus infection model, this study confirmed that the pseudolaric acidB-hydrogel composite delivery system (PAB@DN) can effectively alleviate S. aureus-induced pruritus and skin damage, providing experimental evidence for microbiota-targeted therapy of AD.

With the rapid development of large language models and related technologies, various forms of patient modeling have emerged, including virtual patients, synthetic patients, artificial intelligence patients, and digital twin patients. Although these forms all share the core objective of patient simulation, they exhibit significant differences in theoretical ontology, data sources, modeling logic, and application orientation. Based on the abstraction levels of simulation objects and system mapping logic, this study systematically compares five paradigms—standardized patients, virtual patients, synthetic patients, AI patients, and digital twin patients—to clarify their conceptual boundaries and technical positioning. The findings indicate that these paradigms represent distinct modeling pathways: behavioral reproduction, scenario simulation, data generation, cognitive interaction, and individual system mapping, respectively. By constructing a multidimensional comparative framework, this study provides a theoretical foundation for the conceptual standardization of patient modeling and the strategic deployment of intelligent healthcare systems.

ObjectiveTo analyze the distribution characteristics of traditional Chinese medicine （TCM） constitution and factors associated with hyperuricemia （HUA） in the HUA population， providing a reference for persona-lized prevention and management of HUA. MethodsA cross-sectional study was conducted among individuals who had completed both serum uric acid （SUA） testing and TCM constitution identification during health examinations. According to SUA levels， participants were divided into a hyperuricemia group and a normal SUA group； according to the constitution identification results， participants were classified into balanced constitution， single biased constitution， and mixed constitution. The distribution characteristics of TCM constitution were compared between the two groups； participants in the hyperuricemia group were stratified by sex and age （≥18 years and ＜40 years， ≥40 years）， and the distribution characteristics of TCM constitution were compared across different sex and age groups. Logistic regression was used to analyze factors associated with HUA， with further stratified analyses by sex and age. ResultsA total of 10 920 participants were included， comprising 4170 cases （38.19%） in the hyperuricemia group and 6750 cases （61.81%） in the normal serum uric acid group. According to TCM constitution， there were 420 cases （3.85%） with balanced constitution， 6108 cases （55.93%） with single biased constitution， and 4392 cases （40.22%） with mixed constitution. In the hyperuricemia group， there were 80 cases （19.05%） with balanced constitution； 2275 cases （37.25%） with single biased constitution， among which damp-heat constitution （1205 cases， 52.97%）， phlegm-dampness constitution （500 cases， 21.98%）， and qi-stagnation constitution （181 cases， 7.96%） accounted for relatively high proportions； and 1815 cases （41.33%） with mixed constitution， among which mixed constitution involving phlegm-dampness （51.35%， 932 cases）， mixed constitution involving blood stasis （47.00%， 853 cases）， and mixed constitution involving damp-heat （41.21%， 748 cases） accounted for relatively high proportions. Logistic regression showed that qi-stagnation constitution （OR=1.68）， mixed constitution involving qi-stagnation （OR=1.53）， mixed constitution involving phlegm-dampness （OR=1.55）， and mixed constitution involving blood stasis （OR=1.50） were independently associated with HUA （P＜0.05）. Sex-stratified analysis showed that mixed constitution involving phlegm-dampness was positively associated with HUA risk in females； age-stratified analysis showed that， among individuals aged ≥18 and ＜40 years， qi-stagnation constitution， mixed constitution involving qi stagnation， and mixed constitution involving phlegm-dampness were positively associated with HUA risk （all P＜0.05）. ConclusionThe prevalence of HUA differs markedly by sex and age. Mixed constitution accounts for a higher proportion of HUA patients. Qi-stagnation constitution， mixed constitution involving qi stagnation， mixed constitution involving phlegm-dampness， and mixed constitution involving blood stasis are associated with HUA. Notably， the specific association of mixed constitution involving phlegm-dampness in females and qi-stagnation constitution in young adults is particularly prominent.

Objective To explore the early clinical manifestations,random cortisol levels,and management of late-onset circulatory collapse(LCC)in preterm infants.Methods Preterm infants with LCC from October to December 2023 at the Affiliated Suzhou Hospital of Nanjing Medical University were included.Maternal perinatal factors and infants'early clinical symptoms,signs,random serum cortisol levels,treatment,and outcomes were retrospectively analyzed.Results Seven preterm infants with LCC were included,with gestational ages of 25 weeks+2 days to 29 weeks and birth weights of 800-1 150 g.At 3 weeks of age,abnormal weight gain[gain rate:21-28.5 g/(kg·d)],generalized edema,low serum sodium(129.5-135.2 mmol/L),and decreased random serum cortisol concentrations(13.6-44.6 nmol/L)were observed.After 1-2 weeks of hydrocortisone treatment,edema subsided and serum sodium increased.Conclusions In clinically stable preterm infants,early manifestations of LCC include abnormal weight gain,generalized edema,recurrent hyponatremia,and decreased random serum cortisol concentrations.Hydrocortisone treatment effectively improves symptoms.

AIM:To elucidate the intervention and mechanism of 4'-hydroxychalcone(4-HC)in colitis mice through the regulation of Th17/Treg homeostasis.METHODS:Using a dextran sodium sulfate(DSS)-induced colitis model in mice,we meticulously observed the pathological characteristics of colon tissue via HE staining.Additionally,we employed immunohistochemical analysis and Western blot techniques to assess the expression levels of proteins associated with the JAK/STAT signaling pathway,as well as the specific content of tight junction proteins such as ZO-1 and occludin.The differentiation of Th17 and Treg cells was analyzed through flow cytometry.RESULTS:Compared to the normal group,the DSS group exhibited a consistent decline in body weight,coupled with symptoms of diarrhea and hematochezia,an increase in the DAI score,and a notable reduction in colon length.In contrast,the body weight of the 4-HC group dis-played an upward trend following an initial decrease,with improvements in diarrhea and hematochezia symptoms,a reduc-tion in the DAI score,and a restoration of colon length relative to the model group.The integrity of colon tissue in the 4-HC group was significantly better than that in the DSS group,evidenced by a marked increase in the number of goblet cells and an enhancement in crypt integrity,while the average histology score showed a decrease.Western blot analysis re-vealed substantial increase in ZO-1 and occludin expression after 4-HC treatment.Flow cytometry results indicated a dra-matic decrease in the differentiation rate of Th17 cells in spleen lymphocytes and mesenteric lymph nodes,while the dif-ferentiation rate of Treg cells was significantly elevated.Immunohistochemical and Western blot analyses demonstrated that 4-HC markedly reduced the phosphorylation of STAT1 and STAT3,while up-regulating the phosphorylation of STAT6,suggesting that 4-HC modulates CD4+T cell activity through the JAK-STAT pathway.CONCLUSION:The 4-HC may enhance the course of DSS-induced colitis in mice,alleviate colonic tissue damage,and modulate the balance be-tween Th17 and Treg cells,potentially involving the JAK/STAT signaling pathway.

Objective:To analyze the clinical and prognostic characteristics of patients with immune checkpoint inhibitor (ICI) -related colitis.Methods:A retrospective observational research method was conducted. Clinical data from patients diagnosed with ICI-related colitis at Beijing Friendship Hospital between January 2016 and May 2024 were collected. Clinical severity was assessed using the common terminology criteria for adverse event (CTCAE) grading, Mayo Score, Truelove & Witts Score, and endoscopic severity was assessed using Mayo endoscopic score (MES), ulcerative colitis endoscopic index of severity (UCEIS), and MD Anderson Cancer Center endoscopic inflammation grading (MD grading). Spearman rank correlation analysis was performed to evaluate the correlation between different scoring systems.Results:A total of 15 patients were included, with 10 males and 5 females, and the median age was 64.0 (55.5, 71.0) years. Thirteen patients were treated with programmed cell death protein 1 (PD-1) monoclonal antibodies, and 2 patients were treated with programmed cell death-ligand 1 (PD-L1) monoclonal antibodies. The median onset time of the 15 patients was 66.5 (41.0, 168.0) days after ICI treatment. All patients had diarrhea, only 25% patients presented with abdominal pain, and 20%-33% patients had fever, abdominal distension, nausea, and vomiting. Most of the inflammatory indicators were non-specific. Among the 14 patients who underwent CT examinations, 2 patients had no abnormal manifestations, 10 patients had left colon involvement, mainly manifested as thickening of the colon wall, and 6 of these patients had full-thickness involvement. Among the 12 patients who underwent colonoscopy examination, except for one patient with no abnormalities, 11 patients had rectal and sigmoid colon involvement, the proportions of the descending colon, ascending colon, and terminal ileum involvement decreased successively, and the involved mucosa was mainly manifested as disappearance of vascular texture, mucosal congestion and edema, erosion to shallow ulcers, and lumen stenosis. The lesions in 5 patients were distributed continuously similar to ulcerative colitis, and the lesions in 6 patients were distributed segmentally, 1 of them had an isolated deep ulcer in the rectum under endoscopy. Correlation analysis revealed significant correlations between endoscopic scores (MES, UCEIS, and MD grading; all P < 0.001). Truelove & Witts score strongly correlated with the Mayo score ( ρ = 0.88, P < 0.001). Among clinical-endoscopic comparisons, the Mayo score exhibited the strong positive correlation with endoscopic scores (all P < 0.05), followed by the Truelove & Witts score (all P < 0.05), and CTCAE diarrhea grading only had positive correlation with MD grading ( P = 0.034). However, CTCAE colitis grading showed no significant correlation with endoscopic scores (all P > 0.05). During a mean follow-up of 13.5 months, 10 patients received corticosteroid therapy, and 5 received alternative treatments. Corticosteroid-treated patients showed favorable clinical responses, and rapid tapering feasible occurred in parts of mild-to-moderate patients without relapse. However, perforation occurred in 2 patients with small bowel involvement. Conclusions:The main clinical manifestations of patients with ICI-related colitis are diarrhea. Imaging studies suggest thickening of the colonic wall. Endoscopic findings show the highest involvement in the left colon. Truelove&Witts score and Mayo score is strongly correlated. Corticosteroid therapy exhibits a rapid response, and the prognosis of patients with small intestine involvement is poor.

The etiology of tumors is complex and influenced by multiple factors, including the host and environmental conditions. Allergy is primarily driven by the immune response of helper T cell 2 (Th2). Research has shown that the Th2 immune response is closely related to tumors, which is specifically manifested through Th2 antibodies, allergy-related effector cells and mediators within the tumors, as well as tumor immune-related functions. This internal interaction mechanism will increase the complexity and challenges associated with the clinical diagnosis and treatment of tumors and allergy. The formation of allergic constitution is shaped by both congenital and acquired factors, and its physical state is closely linked to the occurrence and progression of allergic diseases. Therefore, this paper aims to explore the relationship between tumors and allergic reactions from the perspective of traditional Chinese medicine (TCM) constitution theory. Based on the four basic principles of the TCM constitution, including endowment inheritance theory, environment constraint theory, body-spirit composition theory, and life process theory, this exploration will focus on four aspects: genetic factors and internal disease causes, inflammatory environments and functional regulation, psychological disorders and emotional pathogenesis, as well as age structure and disease risk. Furthermore, from the perspective of constitution-disease relation of chronic disease prevention, this paper will discuss the significant importance of adjusting allergic constitution to improve both subjective symptoms and objective indicators of allergic reactions in tumor patients.