ObjectiveTo observe the mechanism of Guihuang formula in regulating the activation of NOD-like receptor protein 3 （NLRP3） inflammasome and inhibiting pyroptosis in the treatment of type Ⅲ prostatitis. Methods（1） In an animal experiment， 50 Sprague Dawley （SD） rats were randomly divided into a blank group， a model group， and low-dose， medium-dose， and high-dose groups of Guihuang formula， with 10 rats in each group. Except for the blank group， the type Ⅲ prostatitis rat model was prepared for the other four groups.After the modeling was successful， the blank group and the model group were given normal saline intragastrically， and the low-dose， medium-dose， and high-dose groups of Guihuang formula were given intragastrically with Guihuang formula （4.9， 9.8， 19.6 g·kg^-1）. After 30 days of intragastrical administration， samples were taken for detection. Inflammatory cell infiltration in prostate tissue was observed by hematoxylin-eosin （HE） staining， and serum IL-1β and IL-18 levels were measured by enzyme-linked immunosorbent assay （ELISA）. Serum malondialdehyde （MDA）， superoxide dismutase （SOD）， and glutathione peroxidase （GSH-Px） levels were determined by biochemistry. NLRP3 expression in prostate tissue was assessed by immunohistochemistry， and the expression of NLRP3， cysteine-aspartic acid protease-1 （Caspase-1）， and gasdermin D （GSDMD） in prostate tissue was measured by Western blot. （2） In a cell experiment， human normal prostate epithelial cells （RWPE-1 cells） were divided into a blank group， a model group， a Guihuang formula group， and an NLRP3 inhibitor group （MCC950 group）. Except for the blank group， the other three groups were stimulated by 100 μg·L^-1 lipopolysaccharide （LPS） for 4 h and 5 mol·L^-1 adenosine triphosphate （ATP） for 30 min to prepare the pyroptosis model. After successful modeling， blank serum was given to the blank group and the model group. 6.25 μg·mL^-1 Guihuang formula drug-containing serum was added to the Guihuang formula group， and MCC950 was added to the MCC950 group on the basis of the model group. Propidium iodide （PI） uptake and Caspase-1 expression were detected by flow cytometry， and lactate dehydrogenase （LDH） level in the cell supernatant was measured by biochemistry. Interleukin （IL）-1β and IL-18 levels of the cell supernatant were determined by ELISA， and the expression of NLRP3， Caspase-1， and GSDMD was detected in Western blot. Results（1） For the animal experiment， compared with the blank group， the model group showed significant infiltration of inflammatory cells in prostate tissue， while the low-dose， medium-dose， and high-dose groups of Guihuang formula showed reduced infiltration of acinar inflammatory cells， reduced degree of glandular epithelial degeneration and interstitial edema， and significantly reduced degree of damage. Compared with those in the blank group， the levels of IL-1β and IL-18 in the serum of the model group were significantly increased （P<0.01）. Compared with the model group， the low-dose， medium-dose， and high-dose groups of Guihuang formula showed a significant decrease in serum IL-1β and IL-18 levels （P<0.01）. Compared with that in the blank group， the serum MDA level in the model group significantly increased （P<0.01）. Compared with that in the model group， the MDA level in the low-dose， medium-dose， and high-dose groups of Guihuang formula was significantly reduced （P<0.01）. Compared with those in the blank group， the levels of SOD and GSH-Px in the serum of the model group significantly decreased （P<0.05）. Compared with the model group， the low-dose， medium-dose， and high-dose groups of Guihuang formula showed a significantly increase in SOD （P<0.01）. Compared with the model group， the low-dose， medium-dose， and high-dose groups of Guihuang formula showed a significantly increase in GSH-Px （P<0.05）. Immunohistochemistry showed that compared with the blank group， the model group had high expression of NLRP3 molecule in prostate tissue. The expression of NLRP3 in the low-dose， medium-dose， and high-dose groups of Guihuang formula was significantly lower than that in the model group. Compared with those in the blank group， the expression levels of NLRP3， Caspase-1， and GSDMD proteins in the prostate tissue of the model group were significantly increased （P<0.01）. Compared with those in the model group， the expression levels of NLRP3， Caspase-1， and GSDMD proteins in the low-dose， medium-dose， and high-dose groups of Guihuang formula were significantly inhibited （P<0.01）. （2） For the cell experiment， compared with that in the blank group， the PI uptake rate of RWPE-1 cells in the model group significantly increased （P<0.01）. Compared with that in the model group， the PI uptake rate of the Guihuang formula group and the inhibitor group significantly decreased （P<0.01）. Compared with that in the blank group， the expression of Caspase-1 in the model group was significantly higher （P<0.01）. Compared with that in the model group， the Caspase-1 in the Guihuang formula group and the inhibitor group significantly decreased （P<0.01）. Compared with the blank group， the model group showed an increase in LDH release （P<0.01）. Compared with the model group， the Guihuang formula group and the inhibitor group showed a significantly decrease in LDH release （P<0.01）. Compared with those in the blank group， the levels of IL-1β and IL-18 in the supernatant of the model group were significantly increased （P<0.01）. Compared with the model group， the Guihuang formula group and the inhibitor group showed a significantly decrease in the levels of IL-1β and IL-18 （P<0.01）. Compared with those in the blank group， the expression levels of NLRP3， Caspase-1， and GSDMD proteins significantly increased in the model group （P<0.01）. Compared with those in the model group， the protein expression levels of NLRP3， Caspase-1， and GSDMD were significantly reduced in the Guihuang formula group and inhibitor group （P<0.01）. ConclusionGuihuang formula can inhibit the activation of Caspase-1， prevent GSDMD cleavation and lysis， and inhibit cell pyrodeath in the treatment of type Ⅲ prostatitis by inhibiting the activation of NLRP3 inflammasome.

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 gain insights into the biological characteristics of different populations of Culex tritaeniorhynchus within and around the Yellow Sea wetland from the perspective of the occurrence of resistance, we investigated the levels of resistance to deltamethrin and kdr gene mutation in the wetland and its peripheral areas. Methods Specimens were collected from Cx. tritaeniorhynchus populations at two monitoring sites in the Rare Bird National Nature Reserve and Tiaozi Ni Wetland Scenic Area, and also from two populations in Yancheng City and the Liuhe District of Nanjing, and the resistance of these mosquitoes to deltamethrin was determined using the CDC biotest bottle method. For each concentration of deltamethrin assessed, a random subset of exposed specimens was selected for amplification of the kdr gene fragment, followed by Sanger sequencing to identify and analyze resistance-associated mutations. Results The LC50 levels of deltamethrin among mosquitoes from the four populations in Luhe, Yancheng, the Rare Bird National Nature Reserve and the Tiaozi Ni Wetland Scenic Area were 2.048 5, 7.798 2, 3.473 3, and 17.695 5 mg/mL, respectively, with corresponding concentrations of deltamethrin ranging from 0.005 to 5.000,0.050 to 50.000,0.050 to 25.000 and 0.050 to 50.000 mg/mL, respectively. Furthermore, the ranges of the KT50 values were 11.76-107.43, 67.05-216.30,29.77-107.43 and 28.40-329.51 min; the 1-h knockdown rates were 34.58%-99.15%, 9.52%-43.80%, 55.09%-73.01%, and 10.09%-68.07%; and the 24-h mortality rates were 12.15%-67.52%,9.52%-79.56%,13.17%-82.21%, and 11.01%-78.99%, respectively. With respect to kdr gene mutation, we assayed a total of 63,70,59, and 57 mosquitoes for the four populations, for which we detected L1014F mutation frequencies of 14.29%, 35.00%, 20.34%, and 31.58%, respectively, with a majority of these mutations being heterozygous for resistance. In addition, five adult mosquitoes were identified has having synonymous mutations at site 1011[i. e. , AAT(asparagine)mutation to AAC(asparagine)]. Conclusions Our findings revealed the clear resistance of Cx. tritaeniorhynchus to deltamethrin in the Yancheng region of the Yellow Sea wetland, and the resistance phenotype and kdr frequency of Cx. tritaeniorhynchus in the wetland environment were comparable to those of Cx. tritaeniorhynchus in the wetland environment, thereby indicating that the resistance of different populations of Cx. tritaeniorhynchus was homogeneous under the pressure of different insecticide selection within and around the wetland. However, the underlying mechanisms need to be further studied.

Objective To establish a backpack-based field emergency medical rescue equipment system to enhance emergency rescue efficiency.Methods A backpack-based field emergency medical rescue equipment system was preliminarily constructed with the concept of medical treatment in echelons and prolonged field care(PFC)and the method of capability-based equipment need analysis;with the Delphi method 15 experts from relevant fields were invited to execute two rounds of questionnaire consultations,and the final equipment system was determined after the equipment varieties and quantities were revised based on the expert opinions.Results The response rate for the two rounds of expert questionnaire surveys was 100%.The experts'authority coefficients were 0.8734 and 0.87,respectively;Kendall coefficients were 0.232 and 0.345(both P<0.001),indicating statistically significant results.Ultimately,a backpack-based field emer-gency medical rescue equipment system comprising 15 backpacks and 158 individual pieces of equipment was established.Conclusion The established system demonstrates a certain degree of specificity and practicability,providing references for the equipment allocation and utilization of emergency medical rescue teams.[Chinese Medical Equipment Journal,2025,46(10):17-22]

Aim To investigate the effect of high-fat diet on the tight junction function injury of Sertoli cells through the NF-κB/NLRP3 signaling pathway in mice and to explore the underlying mechanism.Methods Male C57BL/6J mice were fed with high-fat or normal diet for five months.The body and gonadal organ weight of mice were measured,and their indices were calculated.The sperm concentration,the sperm viabili-ty,the testicular histomorphology and the expression levels of tight junction proteins ZO-1,Occludin and Claudin-11 were measured.TM4 cells were treated with palmitic acid(PA)for 24 h.Cell viability was detected by CCK-8 method.Then,TM4 cells were di-vided into different groups treated with PA(0,50,100,200 and 300 μmnol·L-1),and the expression lev-els of tight junction proteins ZO-1,Occludin and Clau-din-11 were detected by Western blot.The tight junc-tion permeability of TM4 cells were detected by transepithelial electrical resistance(TEER)and FITC-dextran.The expression levels of mRNA and proteins for the NF-κB/NLRP3 pathway-related factors were de-tected by RT-qPCR and Western blot.Results The results from animal experiments showed that high-fat diet increased body weight and seminal vesicle weight of mice,and decreased testicular index,epididymal in-dex,sperm concentration and sperm motility of mice.High-fat diet also caused testicular tissue structure damage and down-regulated the expression levels of tight junction proteins ZO-1 and Occludin,without af-fecting the expression of Claudin-11.In vitro,PA sig-nificantly down-regulated the expression levels of ZO-1,Occludin and Claudin-11 in TM4 cells,increased the cell permeability,as well as up-regulated the mRNA and protein expression levels of NLRP3/NF-κB signa-ling pathway-related factors in TM4 cells.Conclusions High-fat diet can impair the function of tight junction of testicualr Sertoli cells,and the machanism may be related to the activation of the NF-κB/NLRP3 signaling pathway,resulting in Sertoli cell inflammation in mice.

Objective:To investigate factors influencing frequent episodes (≥ 4 episodes within 1 year) in children with moderate-to-severe atopic dermatitis (AD) in China.Methods:A national multicenter cross-sectional study was conducted. Patients under the age of 18 years diagnosed with moderate-to-severe AD were enrolled at dermatology clinics in 18 medical institutions across 12 provinces and municipalities in China between June 12 and August 8, 2023. At the time of the visit, their guardians completed a structured questionnaire covering demographic characteristics, clinical features of AD, personal and family history, factors associated with frequent episodes of moderate-to-severe AD, compliance with treatment, and disease awareness. Statistical analyses included t tests, one-way analysis of variance, rank-sum tests, and chi-square tests, with multiple-response analysis applied for multiple-choice questions. Results:A total of 965 valid questionnaires were collected, and 965 children with moderate-to-severe AD were included. Among them, there were 531 males and 434 females, 678 (70.3%) were aged 2 - < 12 years, 837 (86.7%) were from urban areas, the age at onset was 2.47 ± 3.03 years, and the median frequency of AD episodes in the past year was 4 times. These children were divided into 2 groups based on the median episode frequency: < 4-episode group (439 cases, 45.5%) and ≥ 4-episode group (526 cases, 54.5%). Compared with the < 4-episode group, children in the ≥ 4-episode group showed younger ages at onset (2.22 ± 2.98 years vs. 2.76 ± 3.06 years, P = 0.006) and higher proportions of patients with comorbid allergic diseases in both the children themselves (82.9% [436/526] vs. 69.7% [306/439], χ2 = 23.42, P < 0.001) and their relatives (66.0% [347/526] vs. 57.4% [252/439], χ2 = 7.46, P = 0.006). Children in the ≥ 4- episode group also had higher monthly usage of moisturizers (150 [30, 300] g vs. 60 [6, 200] g) and daily frequency of moisturizer use, greater disease awareness, but more severe fear of medication use (all P < 0.05). The region and the human development index level were both significantly associated with the episode frequency (both P < 0.001), with the highest proportion of children from South China in the ≥ 4- episode group (36.3%, 191/526). Children in the ≥ 4-episode group also had a longer duration of topical glucocorticoid use than those in the < 4-episode group ( Z = -2.21, P = 0.027). External triggers associated with AD episodes mainly included heat exposure (50.36%, 486/965), hot water bathing (40.73%, 393/965), seafood (23.52%, 227/965), and dust mites (33.37%, 322/965) . Conclusion:In children with moderate-to-severe AD in China, factors influencing frequent episodes may include residence in southern or economically developed regions, earlier age at onset, having a personal or family history of allergic diseases, and fear of medication use.

Objective:To evaluate the safety and effectiveness of fuzuloparib for the treatment of ovarian epithelial cancer patients in the real world setting.Methods:A retrospective analysis was conducted on the baseline data of 4 620 ovarian cancer patients who had received fuzuloparib monotherapy or combination therapy. Another 224 ovarian cancer patients who were willing to receive fuzuloparib monotherapy or combination therapy were prospectively enrolled, and their baseline characteristics, drug effectiveness, and safety data were analyzed.Results:(1) Among the 4 620 patients in the retrospective cohort, the median age of patients was 60 years; tumor types: 89.8% (4 149/4 620) had ovarian cancer. Among patients with clearly documented information, the vast majority had a histological type of serous carcinoma (82.9%, 3 770/4 546) and International Federation of Gynecology and Obstetrics (FIGO) staging of Ⅲ-Ⅳ (90.9%, 1 537/1 691). (2) Among the 224 patients in the prospective cohort, the median age of patients was 57 years; tumor types: 83.9% (188/224) had ovarian cancer. Among patients with clearly documented records, the predominant pathologic type was serous carcinoma (91.9%, 193/210), and FIGO stage was Ⅲ-Ⅳ in 79.9% (139/174). (3) Among the 224 prospective patients: 84 patients received first-line fluzoparib maintenance therapy, 92 patients received fluzoparib maintenance therapy after platinum-sensitive recurrence, 23 patients received direct fluzoparib treatment after platinum-sensitive recurrence, 19 patients received direct fluzoparib treatment after platinum-resistant recurrence. The median follow-up durations were 8.5, 8.7, 7.9, and 6.7 months, respectively. The median durations of fluzoparib treatment were 6.7, 4.8, 3.1, and 1.9 months, respectively. The median progression-free survival (PFS) times were not reached during follow-up, 12.6 months, not reached during follow-up, and 4.8 months, respectively. The 1-year PFS rates were 84.1%, 55.0%, 69.8%, and 45.5%, respectively. The remaining 6 patients received other fluzoparib regimens. (4) Among the 224 patients in the prospective dataset, 205 had safety data recorded. Of these, 127 patients (62.0%, 127/205) experienced treatment-related adverse events, with common events including anemia (24.4%, 50/205), thrombocytopenia (21.0%, 43/205), and leukopenia (19.5%, 40/205). Among the 205 patients, 43 (21.0%, 43/205) experienced grade 3 or higher treatment-related adverse events, with common events including anemia (8.3%, 17/205) and thrombocytopenia (8.3%, 17/205).Conclusions:The effectiveness of fuzuloparib in clinical application is generally consistent with other drugs in the same class, with good safety. This study provids new clinical evidence for the treatment of ovarian cancer with fuzuloparib.

Objective:To evaluate the changes of carotid intima thickness（CIT）and stiffness parameters in ankylosing spondylitis（AS）patients by 24 MHz ultra-high frequency ultrasound probe and RF-data based quantitative analysis on vessel stiffness（R-VQS），and to explore its influencing factors.Methods:Sixty patients with AS who underwent consultation at Henan Provincial People's Hospital from November 2023 to May 2024 were prospectively collected as AS group，54 healthy volunteers matched for sex，age，and body mass index were collected as control group. CIT were measured using a 24 MHz ultra-high frequency ultrasound probe，hardness coefficien（HC）and pulse wave velocity（PWV）were measured by R-VQS，the differences of the parameters between the two groups were compared. The changes of carotid artery elasticity and intima thickness and their influencing factors in patients with AS were explored by univariate and multivariate linear regression analysis.Results:①C-reactiveprotein，erythrocyte sedimentation rate（ESR），neutrophil count and neutrophil to lymphocyte ratio（NLR）were elevated in the AS group compared with the control group，and the differences were statistically significant（all P < 0.05）. ②CIT，carotid intima-media thickness（CIMT），HC，PWV and epicardial adipose tissue thickness（EATT）were all increased in the AS group compared with the control group，and the differences were statistically significant（all P < 0.05）. ③Multifactorial linear regression analysis showed that EATT，ESR were the main influencing factors of HC，PWV and CIT（ β=2.192，0.031；1.792，0.002；0.097，0.001；all P＜0.05）. Conclusions:Carotid CIT，CIMT，HC，PWV and EATT are all higher in the AS patients，and ESR and EATT are the main influencing factors of HC，PWV，and CIT，suggesting that more attention should be paid to the detection of ESR and EATT in patients with AS when interventions are performed clinically.

With the rapid development of generative artificial intelligence(GAI)technologies,their widespread application in academic research and writing is continuously expanding the boundaries of sci-entific inquiry.However,this trend has also raised a series of ethical and regulatory challenges,inclu-ding issues related to authorship,content authenticity,citation accuracy,and accountability.In light of the growing involvement of AI in generating academic content,establishing an open,controllable,and trustworthy ethical governance framework has become a key task for safeguarding research integrity and maintaining trust within the academic community.This expert consensus outlines ethical requirements across key stages of AI-assisted academic writing-including topic selection,data management,citation practices,and authorship attribution.It aims to clarify the boundaries and ethical obligations surrounding AI use in academic writing,ensuring that technological tools enhance efficiency without compromising in-tegrity.The goal is to provide guidance and institutional support for building a responsible and sustainable research ecosystem.