Polycystic ovary syndrome （PCOS） is one of the most prevalent gynecological diseases， and its incidence is increasing year by year， seriously affecting the physical and mental health of female patients. The pathogenesis of this disease is complex and has not been fully clarified. At present， PCOS is mainly treated by Western medicine， which， however， has poor efficacy and induces various adverse reactions. Therefore， developing safe and effective therapies has become a difficult problem that needs to be solved. Studies have confirmed that traditional Chinese medicine （TCM） can regulate phosphatidylinositol 3-kinase/protein kinase B（PI3K/Akt）， mitogen-activated protein kinase/extracellular signal-regulated kinase （MAPK/ERK）， Toll-like receptor 4/nuclear factor-κB （TLR4/NF-κB）， transforming growth factor-β （TGF-β）/Smads， secreted glycoprotein/β-catenin （Wnt/β-catenin）， adenosine monophosphate-activated protein kinase （AMPK）， and advanced glycation endproduct/receptor for advanced glycation endproducts （AGE/RAGE） signaling pathways to ameliorate insulin resistance， inhibit inflammation and oxidative stress， regulate endocrine hormone disorders， and intervene in apoptosis and autophagy， thus alleviating the symptoms， slowing down the disease progression， and improving the ovarian function. The treatment of PCOS with TCM has demonstrated definite effects and high safety. Therefore， exploring this disease from cellular and molecular perspectives can provide a theoretical basis for its clinical treatment and new drug development. However， there is a lack of systematic reviews on the modulation of relevant signaling pathways by TCM in the treatment of PCOS. This article reviews the research progress in the treatment of PCOS with the active ingredients and compound prescriptions of TCM by regulating relevant signaling pathways in recent years， with the aim of providing evidence to support the promotion of TCM for treating PCOS in the future.

The European Society of Cardiology (ESC) released the "2024 ESC guidelines for the management of elevated blood pressure and hypertension" on August 30, 2024. This guideline updates the 2018 "Guidelines for the management of arterial hypertension." One notable update is the introduction of the concept of "elevated blood pressure" (120-139/70-89 mm Hg). Additionally, a new systolic blood pressure target range of 120-129 mm Hg has been proposed for most patients receiving antihypertensive treatment. The guideline also includes numerous additions or revisions in areas such as non-pharmacological interventions and device-based treatments for hypertension. This article interprets the guideline's recommendations on definition and classification of elevated blood pressure and hypertension, and cardiovascular disease risk assessment, diagnosing hypertension and investigating underlying causes, preventing and treating elevated blood pressure and hypertension. We provide a comparison interpretation with the 2018 "Guidelines for the management of arterial hypertension" and the "2017 ACC/AHA guideline on the prevention, detection, evaluation, and management of high blood pressure in adults."

Objective To explore the efficiency improvement in segmenting neural network with the application of Transformer + U-Net artificial intelligence (AI) and modeling with the application of Python scripts in three-dimensional (3D) printing brachytherapy. Methods A Transformer + U-Net AI neural network model was constructed, and Adam optimizer was used to ensure rapid gradient descent. Computed tomography or magnetic resonance imaging data of patients were standardized and processed as self-made data sets. The training set was used to train AI and the optimal result weight parameters were saved. The test set was used to evaluate the AI ability. Python programming language was used to write an automated script to obtain the output segmentation image and convert it to the STL file for import. The source applicator and needle could be automatically modeled. The time of automatic segmentation and modeling and the time of manual segmentation and modeling were entered by two people, and the difference was verified by paired t-test. Results Dice similarity coefficient (DSC), mean intersection over union (MIOU), and Hausdorff distance (HD95) were used for evaluation. DSC was 0.9341, MIOU was 0.8762, and mean HD95 was 2.516. The mean time of manual segmentation was 1187 s, and the mean time of AI segmentation was 145 s (P < 0.01). The mean time of manual modeling was 321 s, and the mean time of modeling with Python automated scripts was 18 s (P < 0.01). Conclusion The application of Transformer + U-Net automatic segmentation and Python automated scripts can effectively improve work efficiency in the 3D printing brachytherapy for cervical cancer.

Objective To investigate the sputum metabolic profiles of patients with occupational coal workers' pneumoconiosis (CWP) by an untargeted metabolomics method, and to identify relevant differential metabolic pathways and potential biomarkers. Methods A total of 12 male patients with stage Ⅰ CWP were selected as the CWP group, and 16 healthy male individuals were selected as the control group, using a judgmental sampling method. Sputum metabolites of individuals in both groups were detected to perform non-targeted metabolomic analysis using the ultra-performance liquid chromatography coupled with quadrupole time-of-flight mass spectrometry. Differential metabolites (DMs) and their pathways were screened using principal component analysis, partial least squares discriminant analysis, and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis. Potential biomarkers were analyzed and identified via the receiver operating characteristic curve (ROC). Results There were apparent metabolic alterations observed in sputum of CWP patients compared with healthy controls. In the positive ion mode, a total of 42 DMs were identified in sputum from CWP patients, including 19 downregulated and 23 upregulated metabolites. In the negative ion mode, a total of 25 DMs were identified in sputum from CWP patients, including 16 downregulated and 9 upregulated metabolites. KEGG enrichment analysis of sputum from CWP patients showed that seven DMs pathways were enriched in ABC transporters, histidine metabolism, phenylalanine metabolism, arachidonic acid metabolism, linoleic acid metabolism, purine metabolism, and oxidative phosphorylation, involving 26 DMs. ROC analysis indicated that 16(R)-hydroxyarachidonic acid, pyrophosphate, and 2-hydroxyphenylacetate of these 26 DMs may serve as potential biomarkers for CWP. Conclusion Sputum metabolomic profiles were altered in CWP patients compared with healthy controls. The potential biomarkers of CWP prevention and treatment are 16(R)-hydroxyarachidonic acid, pyrophosphate, and 2-hydroxyphenylacetate.

Aim To anticipate the mechanism of zuka- mu granules (ZKMG) in the treatment of bronchial asthma, and to confirm the projected outcomes through in vivo tests via using network pharmacology and molecular docking technology. Methods The database was examined for ZKMG targets, active substances, and prospective targets for bronchial asthma. The protein protein interaction network diagram (PPI) and the medication component target network were created using ZKMG and the intersection targets of bronchial asthma. The Kyoto Encyclopedia of Genes and Genomics (KEGG) and gene ontology (GO) were used for enrichment analysis, and network pharmacology findings were used for molecular docking, ovalbumin (OVA) intraperitoneal injection was used to create a bronchial asthma model, and in vivo tests were used to confirm how ZKMG affected bronchial asthma. Results There were 176 key targets for ZKMG's treatment of bronchial asthma, most of which involved biological processes like signal transduction, negative regulation of apoptotic processes, and angiogenesis. ZKMG contained 194 potentially active components, including quercetin, kaempferol, luteolin, and other important components. Via signaling pathways such TNF, vascular endothelial growth factor A (VEGFA), cancer pathway, and MAPK, they had therapeutic effects on bronchial asthma. Conclusion Key components had strong binding activity with appropriate targets, according to molecular docking data. In vivo tests showed that ZKMG could reduce p-p38, p-ERKl/2, and p-I

Objective To investigate the effects of anti-HLA donor-specific antibodies(DSA)and desensitization for DSA+patients on engraftment of haploidentical hematopoietic stem cell transplantation(haplo-HSCT).Methods The patients who underwent haplo-HSCT and examinations for HLA antibodies and DSA in our department from March 2017 to July 2023 were recruited in this study.The effects of desensitization measure on engraftment in the DSA+patients after haplo-HSCT were analyzed.Results Among the 70 patients who underwent haplo-HSCT and test for HLA antibodies,15(21.4％)patients were DSA positive,including 7(46.7％)cases of strong positive,3(20.0％)cases of moderate positive,and 5(33.3％)cases of weak positive.The median duration for neutrophil implantation was significantly extended in the DSA+patients than the negative patients(P=0.027).For the 6 patients developed graft failure(GF),4 were DSA+which was statistically higher than the DSA-patients(P=0.025).Multivariate regression analysis showed that DSA was an independent factor affecting GF(HR=9.273,95％CI:1.505～57.124,P=0.016).Among the 10 patients(7 strong positive and 3 moderate positive DSA)received desensitization therapy,4 patients received combination desensitization,with a 100％rate of successful transplantation,and 6 received single desensitization,with 4(66.7％)experiencing GF,so the GF rate was obviously lower in the combination than the single desensitization(P=0.008).Conclusion In haplo-HSCT patients,DSA is an important factor leading to implantation delay and GF.While,single desensitization treatment has limited efficacy.In combined DSA desensitization therapy,the decrease of antibody titer should be dynamically monitored to ensure the successful implantation of stem cells and reduce GF rate.

Objective To investigate the correlation between the characteristics of peritumoral edema and the aggressiveness of breast invasive ductal carcinoma in preoperative magnetic resonance imaging(MRI).Methods A total of 79 patients(79 lesions)who underwent radical mastectomy in the First Affiliated Hospital of Ningbo University from January 2020 to May 2021 and were pathologically diagnosed as invasive ductal carcinoma were included in invasive ductal carcinoma group,and 45 patients(49 lesions)with benign breast lesions were included in benign lesion group during the same period.The difference of peritumoral edema between two groups and the relationship between different pathological features of invasive ductal carcinoma and peritumoral edema were compared.Results The peritumoral edema in benign lesion group was significantly less severe than that in invasive ductal carcinoma group(χ2=25.330,P<0.05).The tumor size of invasive ductal carcinoma group was positively correlated with the degree of peritumoral edema(r=0.381,P<0.05).There were significant differences in molecular type,histological grade,T stage,lymph node metastasis and Ki-67 expression level among patients with different peritumoral edema grades(P<0.05).Ki-67 expression level and the number of lymph node metastasis were positively correlated with the degree of peritumoral edema(r=0.348,0.273,P<0.05).Conclusion The degree of peritumoral edema in MRI correlates with the aggressiveness of breast invasive ductal carcinoma and can be used as one of the tools to evaluate breast carcinoma.

Background Bacteria are the most diverse and widely sourced microorganisms in the indoor air of subway stations, where pathogenic bacteria can spread through the air, leading to increased health risks. Objective To understand the status and distribution characteristics of indoor air bacterial pollution in subway stations and compartments in a city of Central South China, and to provide a scientific basis for formulating intervention measures to address indoor air bacteria pollution in subways. Methods Three subway stations and the compartments of trains parking there in a city in Central South China were selected according to passenger flow for synchronous air sampling and monitoring. Temperature, humidity, wind speed, carbon dioxide (CO₂), fine particulate matter (PM_2.5), and inhalable particulate matter (PM₁₀) were measured by direct reading method. In accordance with the requirements of Examination methods for public places-Part 3: Airborne microorganisms (GB/T 18204.3-2013), air samples were collected at a flow rate of 28.3 L·min⁻¹, and total bacterial count was estimated. Bacterial microbial species were identified with a mass spectrometer and pathogenic bacteria were distinguished from non-pathogenic bacteria according to the Catalogue of pathogenic microorganisms transmitted to human beings issued by National Health Commission. Kruskal-Wallis H test was used to compare the subway hygiene indicators in different regions and time periods, and Bonferroni test was used for pairwise comparison. Spearman correlation test was used to evaluate the correlation between CO₂ concentration and total bacterial count. Results The pass rates were 100.0% for airborne total bacteria count, PM_2.5, and PM₁₀ in the subway stations and train compartments, 94.4% for temperature and wind speed, 98.6% for CO₂, but 0% for humidity. The overall median (P₂₅, P₇₅) total bacteria count was 177 (138,262) CFU·m⁻³. Specifically, the total bacteria count was higher in station halls than in platforms, and higher during morning peak hours than during evening peak hours (P<0.05). A total of 874 strains and 82 species were identified by automatic microbial mass spectrometry. The results of identification were all over 9 points, and the predominant bacteria in the air were Micrococcus luteus (52.2%) and Staphylococcus hominis (9.8%). Three pathogens, Acinetobacter baumannii (0.3%), Corynebacterium striatum (0.1%), and Staphylococcus epidermidis bacilli (2.2%) were detected in 23 samples (2.6%), and the associated locations were mainly distributed in train compartments during evening rush hours. Conclusion The total bacteria count in indoor air varies by monitoring sites of subway stations and time periods, and there is a risk of opportunistic bacterial infection. Attention should be paid to cleaning and disinfection during peak passenger flow hours in all areas.

This paper outlines the common aspects of constructing integrated urban medical groups,focusing on governance,organizational restructuring,operational modes,and mechanism synergy.It then delves into the challenges in China's group construction,highlighting issues with power-responsibility alignment,capacity evolution,incentive alignment,and performance evaluation.Finally,the paper suggests strategies to enhance China's compact urban medical groups,focusing on governance reform,capacity building,benefit integration,and performance evaluation.

Objective:To evaluate the reliability and validity of the Chinese version of HEMO-FISS-QoL(HF-QoL) questionnaire (HF-QoL-C) in the Chinese population with hemorrhoids.Methods:From November 2021 to November 2022, a self-constructed general information questionnaire, HF-QoL-C, and the 36-item short form health survey (SF-36), Goligher classification, and Giordano severity of hemorrhoid symptom questionnaire (GSQ) were used to conduct a questionnaire survey on 760 hemorrhoid patients in the anorectal department of six hospitals. The data was analyzed for reliability and validity using SPSS 21.0 and AMOS 26.0 software.Results:The Cronbach's α coefficient of HF-QoL-C and its dimension ranged from 0.831 to 0.960, and the split coefficient was 0.832-0.915. Four common factors were extracted through principal component exploratory factor analysis. Confirmatory factor analysis indicated acceptable structural validity( χ2/ df=8.152, RSMEA=0.097, CFI=0.881, IFI=0.881, NFI=0.867). HF-QoL-C was correlated with SF36 and GSQ( r=-0.694, 0.501, both P<0.01). There were differences in the total score and dimensional scores of HF-QoL-C between surgical and drug treated patients, different grades of Goligher classification for hemorrhoidal disease, and different ranges of hemorrhoid prolapse (all P<0.001). No ceiling effect was found in the total score and the scores of each dimension(0.3%-2.0%). There was a floor effect in both psychological function and sexual activity dimensions (16.7%, 35.1%). Conclusion:HF-QoL-C has good reliability and validity, which can be used to measure the quality of life of Chinese hemorrhoid patients.