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:To explore the application value of three-dimensional high-resolution anorectal manometry(3D-HRAM)model in the diagnosis and localization of anal sphincter injury after surgery for complex anal fistula.Methods:A prospective study was con-ducted on 92 patients who had undergone surgery for complex anal fistula in the Department of Coloproctology of The People's Hospi-tal Affiliated to Fujian University of Traditional Chinese Medicine from January 2023 to January 2024.The study was conducted in two stages.In the first stage,92 patients underwent 3D-HRAM and endoanal ultrasonography(EAUS)to examine the sphincter,and the data were compared with intraoperative records to evaluate the diagnostic efficiency and localization accuracy of 3D-HRAM and EAUS.In the second stage,92 patients who had been examined were grouped according to the presence or absence of symptoms of anal dysfunction to further verify the diagnostic and localization values of 3D-HRAM and EAUS for postoperative compensated/decompen-sated sphincter injury.Results:Among 92 patients,41 and 57 patients were diagnosed with sphincter injury through 3D-HRAM and EAUS,with a sensitivity of 61.19%and 85.07%,a specificity of 88%and 76%,an area under the curve of 0.739 and 0.813 calcu-lated by plotting the receiver operating characteristic curve,and a localization accuracy of 44.77%and 71.64%,respectively,showing significant differences between 3D-HRAM and EAUS(P=0.002),indicating that 3D-HRAM had lower diagnostic efficiency and local-ization accuracy than EAUS for anal sphincter injury after surgery for complex anal fistula.After grouping by symptoms,the diagnostic efficiency and localization accuracy of 3D-HRAM for symptomatic sphincter injury(decompensated)were significantly better than those for asymptomatic sphincter injury,and were similar to those of EAUS(P=0.763).Conclusion:The application advantage of 3D-HRAM lies in the diagnosis and localization of decompensated anal sphincter injury after surgery for complex anal fistula,which provides effective technical support for the study of anal defecation control mechanisms and injury compensation mechanisms.

Head and neck squamous cell carcinoma(HNSCC)is a highly prevalent malignancy with poor prognosis.Treatment strategies to date have achieved limited success in significantly improving overall survival rates.γδ T cells,a unique subset of immune cells in the tumor microenvironment,can link adaptive and innate immune functions.While γδ T cells can effectively recognize and eliminate HNSCC tumor cells,certain subsets of these cells can secrete interleukin-17,contributing to tumor progression.Nevertheless,due to their remarkable cyto-toxic activity,γδ T cells have been identified as promising candidates for antitumor immunotherapy.This article reviews the biological back-ground of γδ T cells,their role in tumor immunity in HNSCC,and recent advances in γδ T cell immunotherapy,aiming to provide new in-sights into HNSCC diagnosis and treatment.

OBJECTIVE To explore the optimal parameters of simmered Rhei Radix et Rhizoma and the correlation between the chroma values and the intrinsic composition of simmered Rhei Radix et Rhizoma decoction pieces powder.METHODS The single-factor-response surface method was used to investigate the simmering temperature,simmering time,paper dosage and plant ash dos-age,the response surface experiment was carried out on the basis of the single factor experiment,the appearance traits,total anthraqui-nones,free anthraquinones,leachables,sennoside A and B contents were taken as indicators,the analytic hierarchy process(AHP)was used to give weights to each index,and the process was optimized.The chroma values of raw and simmered products were deter-mined by electronic eye,the correlation and regression analysis were carried out by SPSS22.0 software,and the chroma-component re-gression equation was constructed.RESULTS The optimal process of simmering Rhei Radix et Rhizoma was 140 ℃,5 times of plant ash,2 layers of wet paper wrapped and being simmered for 2.5 h.CONCLUSION The simmering process of Rhei Radix et Rhizoma optimized by AHP combined with response surface method is reasonable and feasible,the color of decoction pieces has a significant correlation with the component content,and the regression equation constructed is reliable,which can predict the intrinsic component content of decoction pieces through chroma values.

Liposomes serve as critical carriers for drugs and vaccines, with their biological effects influenced by their size. The microfluidic method, renowned for its precise control, reproducibility, and scalability, has been widely employed for liposome preparation. Although some studies have explored factors affecting liposomal size in microfluidic processes, most focus on small-sized liposomes, predominantly through experimental data analysis. However, the production of larger liposomes, which are equally significant, remains underexplored. In this work, we thoroughly investigate multiple variables influencing liposome size during microfluidic preparation and develop a machine learning (ML) model capable of accurately predicting liposomal size. Experimental validation was conducted using a staggered herringbone micromixer (SHM) chip. Our findings reveal that most investigated variables significantly influence liposomal size, often interrelating in complex ways. We evaluated the predictive performance of several widely-used ML algorithms, including ensemble methods, through cross-validation (CV) for both liposome size and polydispersity index (PDI). A standalone dataset was experimentally validated to assess the accuracy of the ML predictions, with results indicating that ensemble algorithms provided the most reliable predictions. Specifically, gradient boosting was selected for size prediction, while random forest was employed for PDI prediction. We successfully produced uniform large (600 nm) and small (100 nm) liposomes using the optimised experimental conditions derived from the ML models. In conclusion, this study presents a robust methodology that enables precise control over liposome size distribution, offering valuable insights for medicinal research applications.

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

The application of sensors to the monitoring of spinal morphology and motion was reviewed in terms of the research object and monitoring index.The present situation of the application of sensors was introduced,such as inertial sensor,stretchable strain sensor and electromagnetic sensor.The deficiencies of sensors applied to the monitoring of spinal morphology and motion were analyzed,and the future directions of the application were pointed out.[Chinese Medical Equipment Journal,2025,46(6):105-110]

Central nervous system(CNS)degenerative disorders refer to a spectrum of pathological alterations triggered by struc-tural damage to cerebral neural tissues,clinically manifested as diverse neurological dysfunction syndromes,including multiple sclerosis(MS),neurodegenerative diseases(NDs),and ische-mic stroke.The hallmark pathological features of these disorders involve irreversible neuronal damage and decompensation of functional neural networks,ultimately leading to progressive neurological deficits.Notably,with the accelerating global popu-lation aging,the incidence of these diseases has surged signifi-cantly.According to WHO statistics,they now rank among the top three global causes of disability and mortality.Current re-search has confirmed that the pathogenesis of CNS degenerative disorders exhibits high heterogeneity,encompassing multifaceted pathophysiological processes such as genetic predisposition,oxi-dative stress,protein misfolding,and metabolic dysregulation.This intricate pathogenic network not only complicates clinical differential diagnosis but also poses substantial challenges to the development of precision therapeutic strategies.Importantly,re-cent studies have revealed that mitochondrial homeostasis disrup-tion-induced inflammatory cascades(termed mitochondrial in-flammation)play a pivotal regulatory role in neurodegenerative progression.Key molecular mechanisms include impaired mito-phagy,aberrant mitochondrial DNA(mtDNA)release and NL-RP3 inflammasome activation.This review systematically deci-phers the molecular regulatory network of mitochondrial inflam-mation,with a focus on its biological effects in critical pathologi-cal events such as blood-brain barrier disruption,microglial hy-peractivation and neuronal apoptosis.The overarching aim is to provide a theoretical foundation for developing innovative thera-peutic strategies targeting mitochondrial homeostasis restoration.

Objective:To investigate the efficacy and safety of high-frequency irreversible electroporation (H-FIRE) in treating benign prostatic hyperplasia (BPH).Methods:This randomized controlled open-label multicenter clinical trial enrolled patients from nine medical centers in China between August 2020 and July 2022. Inclusion criteria: age 50–80 years, International Prostate Symptom Score (IPSS) ≥12, maximum urinary flow rate (Q max) >5 ml/min and ≤15 ml/min. Exclusion criteria: prostate malignancy, contraindications to surgery or anesthesia. Patients were randomized 1∶1 into the H-FIRE group (experimental) or the control group (daily oral 0.2 mg tamsulosin hydrochloride sustained-release capsules). Primary outcomes included Q max, IPSS, prostate volume, and International Index of Erectile Function-5 (IIEF-5) scores, measured at baseline, 1 and 3 months post-treatment. Results:A total of 160 cases were included in this study, including 80 cases in the experimental group and 80 cases in the control group, 30 cases in Renji Hospital, 7 cases in Qilu Hospital of Shandong University, 8 cases in Tongji Hospital, 3 cases in Hunan Provincial Hospital, 13 cases in Shanghai Pudong Hospital, 29 cases in Hwa Mei Hospital, 18 cases in Yiyuan County People's Hospital, and 38 cases in Shanghai East Hospital, and 14 cases in Sun Yat-sen Memorial Hospital. At 3 months of post-treatment, Q max in the experimental group increased by a median of 7.50 (3.55, 14.50) ml/s from the baseline value, whereas in the control group it increased by a median of 1.70 (-1.40, 6.00) ml/s, and the difference between the two groups was statistically significant ( P < 0.01, U = 1 083); and at 3 months of post-treatment, IPSS in the experimental group decreased by a median of 12.00 (7.00, 17.00) points in the test group and 6.00 (2.00, 11.00) points in the control group, and the magnitude of improvement in IPSS scores in the test group was significantly higher than that in the control group ( P < 0.01, U = 1 248); at 3 months of post-treatment, the prostate volume decreased by a median of 12.16 (5.69, 18.27) ml in the experimental group and 0 (-3.94, 6.89) ml in the control group, suggesting that H-FIRE significantly reduced prostate gland volume ( P<0.01, U=1 111). The difference in elevated IIEF-5 scores from baseline at 3 months of treatment between the experimental and control groups was not statistically significant[0(-2.00, 1.00) points vs. 0(-2.00, 1.50) points; P=0.54, U=2 338]. There were no serious adverse events in the two groups. Conclusions:H-FIRE could significantly improve both subjective and objective symptoms of BPH with a low risk of severe complications.