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.

OBJECTIVE: Cigarette smoking exacerbates the progression of pulmonary tuberculosis (TB). The role of tertiary lymphoid structures (TLS) in chronic lung diseases has gained attention; however, it remains unclear whether smoking-exacerbated lung damage in TB is associated with TLS. This study aimed to analyze the characteristics of pulmonary TLS in smokers with TB and to explore the possible role of TLS in smoking-related lung injury in TB. METHODS: Lung tissues from 36 male patients (18 smokers and 18 non-smokers) who underwent surgical resection for pulmonary TB were included in this study. Pathological and immunohistological analyses were conducted to evaluate the quantity of TLS, and chest computed tomography (CT) was used to assess the severity of lung lesions. The correlation between the TLS quantity and TB lesion severity scores was analyzed. The immune cells and chemokines involved in TLS formation were also evaluated and compared between smokers and non-smokers. RESULTS: Smoker patients with TB had significantly higher TLS than non-smokers ( P < 0.001). The TLS quantity in both the lung parenchyma and peribronchial regions correlated with TB lesion severity on chest CT (parenchyma: r = 0.5767; peribronchial: r = 0.7373; both P < 0.001). Immunohistochemical analysis showed increased B cells, T cells, and C-X-C motif chemokine ligand 13 (CXCL13) expression in smoker patients with TB ( P < 0.001). CONCLUSION Smoker TB patients exhibited increased pulmonary TLS, which was associated with exacerbated lung lesions on chest CT, suggesting that cigarette smoking may exacerbate lung damage by promoting TLS formation.
Humans ; Male ; Tuberculosis, Pulmonary/immunology* ; Middle Aged ; Tertiary Lymphoid Structures/pathology* ; Adult ; Lung/pathology* ; Smoking/adverse effects* ; Smokers ; Aged ; Tomography, X-Ray Computed

OBJECTIVE: The study aim was to investigate the effects of exposure to multiple environmental organic pollutants on cardiopulmonary health with a focus on the potential mediating role of oxidative stress. METHODS: A repeated-measures randomized crossover study involving healthy college students in Beijing was conducted. Biological samples, including morning urine and venous blood, were collected to measure concentrations of 29 typical organic pollutants, including hydroxy polycyclic aromatic hydrocarbons (OH-PAHs), bisphenol A and its substitutes, phthalates and their metabolites, parabens, and five biomarkers of oxidative stress. Health assessments included blood pressure measurements and lung function indicators. RESULTS: Urinary concentrations of 2-hydroxyphenanthrene (2-OH-PHE) ( β = 4.35% [95% confidence interval ( CI): 0.85%, 7.97%]), 3-hydroxyphenanthrene ( β = 3.44% [95% CI: 0.19%, 6.79%]), and 4-hydroxyphenanthrene (4-OH-PHE) ( β = 5.78% [95% CI: 1.27%, 10.5%]) were significantly and positively associated with systolic blood pressure. Exposures to 1-hydroxypyrene (1-OH-PYR) ( β = 3.05% [95% CI: -4.66%, -1.41%]), 2-OH-PHE ( β = 2.68% [95% CI: -4%, -1.34%]), and 4-OH-PHE ( β = 3% [95% CI: -4.68%, -1.29%]) were negatively associated with the ratio of forced expiratory volume in the first second to forced vital capacity. These findings highlight the adverse effects of exposure to multiple pollutants on cardiopulmonary health. Biomarkers of oxidative stress, including 8-hydroxy-2'-deoxyguanosine and extracellular superoxide dismutase, mediated the effects of multiple OH-PAHs on blood pressure and lung function. CONCLUSION Exposure to multiple organic pollutants can adversely affect cardiopulmonary health. Oxidative stress is a key mediator of the effects of OH-PAHs on blood pressure and lung function.
Humans ; Oxidative Stress/drug effects* ; Male ; Cross-Over Studies ; Female ; Young Adult ; Environmental Pollutants/toxicity* ; Environmental Exposure/adverse effects* ; Biomarkers/blood* ; Adult ; Blood Pressure/drug effects* ; Polycyclic Aromatic Hydrocarbons/urine* ; Beijing

Forensic medicine has been designated as a first-level discipline,presenting new opportunities and challenges for the development of forensic medicine.Since the 1980s,the establishment of foren-sic medicine discipline and the cultivation of high-level forensic talents have become hot topics in the development of forensic medicine in China.Since the 13th Five-Year Plan,the forensic team of Shanxi Medical University has been aiming at the forefront,proposing the development goals of"Five First-class"and the discipline development path"Six Major Achievements".It has selected benchmark disci-plines,identified gaps in disciplinary development,unified thoughts,formulated completion timelines,concentrated superior resources,assigned tasks to individuals,and created an"Organized Fill-in-the-Blank Format"forensic medicine discipline construction model with the characteristics of the new era.The construction model of forensic medicine has achieved good results in the goals,discipline frame-work,scientific research,talent cultivation,discipline team and platform construction,forming a rela-tively complete discipline construction and management system,and accumulating valuable experience for the construction of first-level discipline and high-level talent cultivation of forensic medicine.

Objective:To evaluate the diagnostic efficacy of 18F-prostate specific membrane antigen (PSMA)-1007 PET/CT in patients with prostate imaging reporting and data system (PI-RADS) 1-3 lesions on multi-parametric MRI (mpMRI) and pathologically confirmed prostate cancer. Methods:Clinical, pathological, and imaging data of 59 patients (age (67.8±7.6) years) with PI-RADS 1-3 lesions on mpMRI in the First Affiliated Hospital of Xi′an Jiaotong University between December 2021 and March 2024 were retrospectively collected. Those patients also underwent 18F-PSMA-1007 PET/CT and prostate biopsy during the same period due to an elevated prostate specific antigen (PSA) level. The diagnostic performances of 18F-PSMA-1007 PET/CT for PI-RADS 1-3 prostate cancer and clinically significant prostate cancer were evaluated by using pathological results as the standard. Mann-Whitney U test was used to compare differences in clinical characteristics and PET parameters between PET-positive and PET-negative groups, and logistic regression analysis was performed to select independent influencing factors for the PET/CT diagnosis of prostate cancer. Results:Of the included 59 patients, 7, 27, and 25 had PI-RADS scores of 1, 2, and 3 respectively. Benign prostate hyperplasia was pathologically confirmed in 8 patients, and prostate cancer was confirmed in 51 patients, of which 37 had clinically significant prostate cancer. The sensitivity of 18F-PSMA-1007 PET/CT in diagnosing prostate cancer was 86.3%(44/51), the specificity was 2/8, the accuracy was 78.0%(46/59), the positive predictive value was 88.0%(44/50), and the negative predictive value was 2/9. For patients with clinically significant prostate cancer, the sensitivity, specificity, accuracy, positive predictive value, and negative predictive value were 91.9%(34/37), 27.3%(6/22), 67.8%(40/59), 68.0%(34/50), and 6/9, respectively. SUV max was significantly higher in the PET-positive group ( n=44) than that in the PET-negative group ( n=7; 12.8(9.1, 23.5) vs 5.1(5.0, 6.2); Z=-4.16, P=0.001). Logistic regression analysis showed that SUV max was an independent influencing factor for the diagnosis of prostate cancer by 18F-PSMA-1007 PET/CT (odds ratio ( OR)=6.01, 95% CI: 1.57-23.00, P=0.009). Conclusions:18F-PSMA-1007 PET/CT has a high sensitivity and positive predictive value in prostate cancer patients with PI-RADS 1-3 on mpMRI. It can be used as a supplementary modality to mpMRI to guide clinical decision for patients with PI-RADS 1-3 and clinically suspected prostate cancer lesions.

Creutzfeldt-Jakob disease(CJD)is a rapidly progressive and fatal neurodegenerative disorder caused by prions,with certain infectivity and iatrogenic transmission risks.With the rapid progress and application of new dia-gnostic biomarkers and detection methods,as well as the construction and improvement of surveillance and reporting systems,the detection of CJD in patients domestically and internationally has shown an increasing trend year by year.Due to its long incubation period and heterogeneity of early symptoms,early identification and diagnosis of the disease is difficult,increasing the risk of transmission within medical institutions.Currently,there is a lack of con-sensus on the infection prevention and control of CJD.In order to timely identify and diagnose CJD as well as effec-tively block its transmission in medical institutions,this consensus summarizes 15 clinical concerns and formulates 24 specific recommendations based on the latest domestic and international research findings and clinical evidence,as well as combines with clinical practice,aiming to standardize healthcare-associated infection prevention and control measures for CJD and reduce its transmission risk in medical institutions.

Objective:To explore the clinical efficacy of Shexiang Baoxin pill in patients with unstable angina pectoris(UAP)and type 2 diabetes mellitus(T2DM)using meta-analysis.Methods:We searched the databases including Pubmed,Web of Science,EMbase,EBSCO,Cochrane,CBM,CNKI and Wanfang for randomized controlled trials(RCTs)about the therapeutic effect of Shexiang Baoxin pill on patients with UAP and T2DM from the establish-ment to January 20th,2023.RevMan 5.3 software was used to perform meta-analysis to investigate the effect of Shexiang Baoxin pill on angina improvement and blood glucose fluctuation in patients with UAP and T2DM.Results:Six eligible literatures were included,including 346 patients in Shexiang Baoxin pill group and control group respec-tively.The results of meta-analysis showed that compared to participants in control group,those in Shexiang Baox-in pill group had significantly higher clinical overall efficiency(OR=3.13,95％CI 2.01～4.89,P＜0.001),and significantly lower angina attack frequency(MD=-0.66,95％CI-0.79～-0.52,P＜0.001),duration of angi-na(MD=-3.10,95％CI-4.11～-2.09,P＜0.001),and 2-hour postprandial blood glucose(MD=-1.79,95％CI-2.00～-1.57,P＜0.001).Conclusion:Shexiang Baoxin pill could improve clinical overall efficiency,an-gina attack frequency and duration,and reduce 2-hour postprandial blood glucose in patients with unstable angina pectoris and type 2 diabetes mellitus.

Objective:To explore the clinical efficacy of Shexiang Baoxin pill in patients with unstable angina pectoris(UAP)and type 2 diabetes mellitus(T2DM)using meta-analysis.Methods:We searched the databases including Pubmed,Web of Science,EMbase,EBSCO,Cochrane,CBM,CNKI and Wanfang for randomized controlled trials(RCTs)about the therapeutic effect of Shexiang Baoxin pill on patients with UAP and T2DM from the establish-ment to January 20th,2023.RevMan 5.3 software was used to perform meta-analysis to investigate the effect of Shexiang Baoxin pill on angina improvement and blood glucose fluctuation in patients with UAP and T2DM.Results:Six eligible literatures were included,including 346 patients in Shexiang Baoxin pill group and control group respec-tively.The results of meta-analysis showed that compared to participants in control group,those in Shexiang Baox-in pill group had significantly higher clinical overall efficiency(OR=3.13,95％CI 2.01～4.89,P＜0.001),and significantly lower angina attack frequency(MD=-0.66,95％CI-0.79～-0.52,P＜0.001),duration of angi-na(MD=-3.10,95％CI-4.11～-2.09,P＜0.001),and 2-hour postprandial blood glucose(MD=-1.79,95％CI-2.00～-1.57,P＜0.001).Conclusion:Shexiang Baoxin pill could improve clinical overall efficiency,an-gina attack frequency and duration,and reduce 2-hour postprandial blood glucose in patients with unstable angina pectoris and type 2 diabetes mellitus.

Objective:To evaluate the effect of electroacupuncture (EA) on ionotropic purinergic receptor 4 (P2X4R)/nuclear factor-kappa B (NF-κB) signaling pathway during spinal cord injury (SCI) in rats.Methods:Thirty-six clean-grade healthy adult female Sprague-Dawley rats, weighing 210-250 g, were divided into 3 groups ( n=12 each) using a random number table method: sham surgery group (S group), SCI group, and SCI+ EA treatment group (SCI+ EA group). The SCI model was established by the Allen′s method in anesthetized animals. In group S, only the spinous processes and vertebral laminae were resected, but the spinal cord was not injured. On the 7th day after developing the model, EA of Jiaji, Dazhui, and Mingmen lasting 30 min was performed once a day for 7 consecutive days, with a depth of 2 mm, intensity of 12-15 mV, frequency of 2 Hz, in SCI+ EA group. The mechanical paw withdraw threshold (MWT) and thermal paw withdrawal latency (TWL) were measured at 1 day before developing the model and 3, 7, 14, 21 and 28 days after developing the model, and the motor function was assessed using the Basso-Beattie-Bresnahan (BBB) score. The recovery of motor function was assessed using footprint analysis at 28 days after developing the model. After the final behavioral testing, the rats were sacrificed, and spinal cord tissues were harvested to observe the pathological changes of the spinal cord tissues using hematoxylin-eosin staining, to detect the expression of P2X4R and phosphorylated NF-κB p65 (p-NF-κB p65) (by immunohistochemical analysis and Western blot) and to determine contents of tumor necrosis factor-α (TNF-α), interleukin-1β (IL-1β) and IL-6 (by enzyme-linked immunosorbent assay). Results:Compared with the baseline measured at 1 day before developing the model, the MWT and BBB scores were significantly decreased and the TWL was shortened at each time point after developing the model in SCI group and SCI+ EA group ( P<0.05). Compared with S group, the MWT and BBB scores were significantly decreased and the TWL was shortened at each time point after developing the model, the expression of P2X4R and p-NF-κB p65 in spinal cord tissues was up-regulated, and the contents of TNF-α, IL-1β and IL-6 were increased in SCI group ( P<0.05). Compared with SCI group, the MWT and BBB scores were significantly increased and the TWL was prolonged at 14, 21 and 28 days after developing the model, the expression of P2X4R and p-NF-κB p65 in spinal cord tissues was down-regulated, and the contents of TNF-α, IL-1β and IL-6 were decreased ( P<0.05), and the pathological damage of spinal cord tissues was alleviated and footprints were reduced in SCI+ EA group. Conclusions:The mechanism by which EA alleviates SCI may be related to the inhibition of the activation of the P2X4R/NF-κB signaling pathway and the reduction in the inflammatory response in rats.