ObjectiveTo investigate the changes in chemical components of Gardeniae Fructus（GF） before and after being charred， providing data support for research on the material basis of GF Carbonisata（GFC）. MethodsUltra-performance liquid chromatography-quadrupole-electrostatic field orbitrap high-resolution mass spectrometry（UPLC-Q-Orbitrap MS/MS） was used to conduct a comprehensive analysis of the chemical components in GF and GFC under positive and negative ion modes with Compound Discoverer 3.3 software and online database. Then， principal component analysis and partial least squares-discriminant analysis in SIMCA14.1 software were used to analyze the MS data of each sample. Based on the principle of variable importance in the projection（VIP） value>1， differential secondary and primary metabolites before and after carbonization were screened. In addition， MetaboAnalyst website was used for pathway enrichment of Kyoto Encyclopedia of Genes and Genomes（KEGG）， so as to provide a reference for clarifying the processing mechanism. ResultsA total of 185 components were identified， including 96 secondary metabolites and 89 primary metabolites. These components were classified into nine categories， primarily including iridoid glycosides， flavonoids， and terpenoids， their fragmentation pathways were also analyzed. Simultaneously， multivariate statistical analysis was performed on the secondary and primary metabolites， identifying 70 and 59 differential metabolites， respectively. The secondary metabolites were enriched in two metabolic pathways， including C5-branched dibasic acid metabolism and flavonoid and flavonol biosynthesis， while the primary differential metabolites were enriched in seven pathways such as linoleic acid metabolism and tyrosine metabolism. ConclusionThe chemical components of GF change significantly after carbonization， with a significant decrease in the contents of iridoid glycosides and terpenoids such as hydroxyisogeniposide， crocin Ⅱ， crocetin， and jasminoside B. while the contents of 4-hydroxycoumarin， geniposidic acid， gentiopicroside， and gardenoside methyl ester increase significantly. This change is presumed to be associated with the enhanced cooling and hemostatic effects of the processed products. The identified key components provide a basis for elucidating the material basis underlying the efficacy changes before and after carbonization.

Objective To explore the prevalence of Helicobacter pylori (Hp) infection and its association with dietary and lifestyle habits among the adult physical examination population in Xuzhou area. Methods Retrospectively selected the physical examination population who underwent HP testing at our hospital's physical examination center from May 2021 to December 2023 as the research object. The prevalence of Hp infection in the population was analyzed based on the physical examination results. A questionnaire survey was used to collect information on the eating and living habits of all study subjects. Logistic regression was used to analyze the relationship between eating and living habits and Hp infection. Results A total of 1 354 physical examination people were included in the study, and the Hp infection rate was 37.30% (505/1354). The difference in Hp infection rates among people of different age groups is statistically significant (P<0.05), with the middle-aged population (41-59 years old) having the highest Hp positive infection rate (45.38%).High salt (41.11%), hot diet (40.56%), history of smoking (45.23%) and drinking (43.80%), less consumption of fruits and vegetables (43.73%), irregular exercise (41.29%), irregular diet People who frequently eat out (43.56%) and eat out frequently (42.57%) have a higher Hp infection rate (P<0.05).After adjusting for demographic factors such as gender, age, place of residence and education level, multivariate Logistic regression results showed that high-salt diet (OR=3.975, 95%CI: 2.670-5.917) and hot diet (OR=3.357, 95%CI: 2.291-4.919), smoking (OR=1.458, 95%CI: 1.082-1.964), drinking alcohol (OR=1.654, 95%CI: 1.279-2.138), eating fruits and vegetables (OR=1.759, 95%CI: 1.345-2.301), regular exercise (OR=1.822, 95%CI: 1.371-2.421), regular diet (OR=1.893, 95%CI: 1.391-2.575), eating out (OR=1.690, 95%CI: 1.277-2.237) were associated with the risk of Hp infection (P<0.05). Conclusion The positive infection rate of Hp among the physical examination population in Xuzhou is slightly lower than the average epidemic level in China. Cultivating healthy eating and living habits can effectively reduce the risk of Hp infection.

[摘 要] 目的：探究甘氨胆酸（GCA）对肺腺癌A549细胞移植瘤小鼠放射治疗敏感性的影响及其机制。方法：建立A549人肺腺癌细胞裸鼠移植瘤模型，随机分为移植瘤对照组（对照组）、GCA组、放疗组（RT组）和GCA + 放疗组（GCA + RT组）。RT组和GCA + RT组接受单次10  Gy照射，GCA组及GCA + RT组连续7 d每日灌胃GCA 280  mg/kg。间隔2 d测量1次移植瘤体积，末次给药后处死小鼠并取移植瘤组织，检测移植瘤组织中超氧化物歧化酶（SOD）与谷胱甘肽过氧化物酶（GSH-Px）活性，qPCR法和WB法分别检测放疗关键基因（MCM6、ITGA6、CASP3等）mRNA和蛋白表达水平，H-E染色观察移植瘤组织的形态变化。通过GEO（GSE276500、GSE294906、GSE218171）及TCGA数据库数据验证放疗关键基因。结果：GCA单用对瘤体生长有一定抑制作用，但联合放疗的GCA + RT组相比单纯放疗组表现出放疗抵抗的效应（P < 0.05）。GCA处理显著提高移植瘤组织SOD活性（P < 0.01）、降低GSH-Px活性（P < 0.01），提示GCA可改变移植瘤抗氧化酶平衡，减弱放疗诱导的氧化应激。GCA干预上调移植瘤组织中MCM6与ITGA6 mRNA表达、下调CASP3 mRNA表达（均P < 0.05）。GCA + RT组移植瘤组织中的MCM6蛋白表达显著高于对照组（P < 0.05）。H-E染色显示，GCA组部分瘤组织坏死，而GCA + RT组坏死组织面积较RT组有所缩小。GEO和TCGA数据库验证支持MCM6、ITGA6高表达与放疗抵抗和预后不良相关。结论：GCA通过增强SOD活性、降低GSH-Px活性并上调ITGA6、MCM6的表达改变氧化应激与关键信号网络，从而削弱A549移植瘤对放疗的敏感性。

Objective To investigate the current distribution of radiotherapy resources in Gansu Province, evaluate the equity of resource allocation, and provide a scientific basis for optimizing regional resource allocation. Methods A questionnaire survey was carried out to assess radiotherapy resources in medical institutions across Gansu Province, China. The equity of radiotherapy resource distribution and associated disparities were assessed using the Gini coefficient, Lorenz curve, and Theil index. Results A total of 23 medical institutions in Gansu Province provided radiotherapy services, comprising 39 radiotherapy devices and 438 professionals, of whom medical physicists accounted for 16.9%. The radiotherapy frequency was 0.47 cases per thousand population. The Gini coefficients for radiotherapy resource distribution ranged from 0.38 to 0.56 by population and from 0.52 to 0.70 by geography. The Theil index for radiotherapy resources ranged from 1.36 to 3.67. Conclusion Radiotherapy resources in Gansu Province were insufficient, and the capacity of radiotherapy service was suboptimal. The equity of radiotherapy resource allocation by geography was worse than that by population. Therefore, it is imperative to address the shortage of radiotherapy resources, strengthen the professional workforce, enhance the capacity radiotherapy service and resource utilization, optimize resource allocation, and promote regional equity in radiotherapy provision in Gansu Province.

ObjectiveZheng’s San Qi San (ZSQS) power, a classic traditional Chinese medicine (TCM) formula, is used for treating soft tissue injuries involving muscles, tendons, and ligaments. However, its underlying therapeutic mechanisms remain unclear. This study aimed to screen and identify pharmaceutically active ingredients and their candidate biomolecule targets, and further elucidate the molecular mechanism of ZSQS in the treatment of skeletal muscle injury. MethodsNetwork pharmacology was employed to construct “ZSQS-component-target”, “protein-protein interaction (PPI)” and “active ingredient-core protein-pathway” networks to predict the key active ingredients and potential core targets of ZSQS for skeletal muscle injury. The predicted results were then validated via microarray data from the GEO database. Molecular docking was then performed to assess the binding ability between the screened active ingredients of ZSQS and the candidate core targets. Moreover, liquid chromatography-mass spectrometry (LC-MS) was used for qualitative and quantitative analysis to verify the active components of the drug and ZSQS serum. Finally, an animal model of eccentric exercise-induced skeletal muscle injury and a myotube cell model of oxidative stress-induced injury were established to validate the effects of ZSQS and its interventional effects on the biological functions of critical targets, thereby demonstrating the potential therapeutic mechanism of ZSQS. ResultsAmong the 111 active components identified in ZSQS and their corresponding 204 targets related to the skeletal muscle injury repair process, 14 core targets (including AKT1) and 4 core active components (quercetin, luteolin, kaempferol, and β‑sitosterol) were screened out, while the corresponding metabolites of quercetin, luteolin and kaempferol were detected in the ZSQS serum. Among these targets, 5 candidate genes (IL-6, CASP3, HIF1A, STAT3, and JUN) overlapped with the differential expression screening results with GEO data, and IL-6 was confirmed to be enriched in the PI3K/AKT pathway. Combined with the prediction results of the AKT expression levels, these findings suggest that the phosphorylation level of AKT1 plays a core role in the therapeutic mechanism of ZSQS. Molecular docking analysis further revealed that the PH domain of AKT1 had high binding energy with all 4 core active components, as verified by LC-MS. Finally, animal model studies have shown the promoting effect of ZSQS administration on skeletal muscle injury repair and its possible antioxidant damage mechanism. Cell model studies further demonstrated that ZSQS-containing serum, core active ingredient combination therapy, and quercetin monomer could increase the phosphorylation level of AKT, promote the nuclear translocation of Nrf2, upregulate the expression of downstream antioxidant enzymes (SOD, GPx, and GR), and inhibit the expression of inflammatory factors (IL-6 and TNF-α), thereby alleviating oxidative stress and the inflammatory response. ConclusionZSQS alleviates skeletal muscle injury mainly by activating the AKT/Nrf2 signaling pathway, enhancing cellular antioxidant and anti-inflammatory capabilities. The results of this study provide a scientific basis for the clinical application and modernized development of ZSQS.

Inflammatory diseases (IDs) are a general term of diseases characterized by chronic inflammation as the primary pathogenetic mechanism, which seriously affect the quality of patient′s life and cause significant social and medical burden. Current drugs for IDs include nonsteroidal anti-inflammatory drugs, corticosteroids, immunomodulators, biologics, and antioxidants, but these drugs may cause gastrointestinal side effects, induce or worsen infections, and cause non-response or intolerance. Given the outstanding performance of metal polyphenol network (MPN) in the fields of drug delivery, biomedical imaging, and catalytic therapy, its application in the diagnosis and treatment of IDs has attracted much attention and significant progress has been made. In this paper, we first provide an overview of the types of IDs and their generating mechanisms, then sort out and summarize the different forms of MPN in recent years, and finally discuss in detail the characteristics of MPN and their latest research progress in the diagnosis and treatment of IDs. This research may provide useful references for scientific research and clinical practice in the related fields.

Objective To address the current blind spots in quality control and the risk of data distortion in radiological health technical service institutions, overcome the limitations of low efficiency and insufficient anomaly identification in manual verification, establish an automatic anomaly early warning mechanism based on AI algorithms, provide accurate clues for health supervision and law enforcement, and significantly enhance the efficiency of industry supervision. Methods On-site inspection data were collected via photographic imaging. Advanced image processing and object detection algorithms were employed to automatically extract and analyze key information from the images. Through data analysis, the system was used to calculate and assess the inspection results. A dynamic early warning engine was developed to automatically trigger alerts upon detection of deviations from standard thresholds or regulatory violations in radiological health technical services. These alerts were delivered through a regulatory information system. Results Following AI model training, the accuracy of the image processing and object detection algorithms reached 99% and the early warning accuracy reached 93%. Compared with the traditional supervision mode, the efficiency of anomaly detection was improved and the average response time was shortened. Conclusion The full-process supervision information system constructed in this study has realized the triple mechanism of pre-event standardization, in-event monitoring, and post-event traceability for radiological health technical services. In particular, the system has established a four-level quality control chain of “institutional self-inspection, intelligent recheck, expert judgment, and administrative action”, providing a technological innovation path for ensuring the radiation protection and safety of medical staff, patients, and the public.

As an important part of Chinese traditional culture， the processing technology of traditional Chinese medicine（TCM） carries the wisdom of TCM for thousands of years， and its process is complex and rigorous. With the popularization of modern production technology， traditional processing techiques are facing the dual pressures from technological innovation and production standardization under the perspective of intangible cultural heritage. The modernization of TCM processing technology is an inevitable trend for industrial upgrading， but it cannot be separated from the foundation of traditional skills and ignore the core concepts and cultural values it embodies. Therefore， by analyzing the core characteristics of TCM processing technology and its differences with modern production， this paper discusses the establishment of a synergistic innovation mechanism between traditional techniques and modern technologies， the promotion of joint research and development between scientific research institutes and the industry， the strengthening of standardization of processing techniques， and the enhancement of social education and industry training to improve the recognition and inheritance of processing techniques in order to achieve the goal of innovation and protection of TCM processing technologies in the context of modernization， and to promote the high-quality development of the TCM processing industry.

ObjectiveTraditional Chinese medicine (TCM) constitutes a valuable cultural heritage and an important source of antitumor compounds. Poria (Poria cocos (Schw.) Wolf), the dried sclerotium of a polyporaceae fungus, was first documented in Shennong’s Classic of Materia Medica and has been used therapeutically and dietarily in China for millennia. Traditionally recognized for its diuretic, spleen-tonifying, and sedative properties, modern pharmacological studies confirm that Poria exhibits antioxidant, anti-inflammatory, antibacterial, and antitumor activities. Pachymic acid (PA; a triterpenoid with the chemical structure 3β-acetyloxy-16α-hydroxy-lanosta-8,24(31)-dien-21-oic acid), isolated from Poria, is a principal bioactive constituent. Emerging evidence indicates PA exerts antitumor effects through multiple mechanisms, though these remain incompletely characterized. Neuroblastoma (NB), a highly malignant pediatric extracranial solid tumor accounting for 15% of childhood cancer deaths, urgently requires safer therapeutics due to the limitations of current treatments. Although PA shows multi-mechanistic antitumor potential, its efficacy against NB remains uncharacterized. This study systematically investigated the potential molecular targets and mechanisms underlying the anti-NB effects of PA by integrating network pharmacology-based target prediction with experimental validation of multi-target interactions through molecular docking, dynamic simulations, and in vitro assays, aimed to establish a novel perspective on PA’s antitumor activity and explore its potential clinical implications for NB treatment by integrating computational predictions with biological assays. MethodsThis study employed network pharmacology to identify potential targets of PA in NB, followed by validation using molecular docking, molecular dynamics (MD) simulations, MM/PBSA free energy analysis, RT-qPCR and Western blot experiments. Network pharmacology analysis included target screening via TCMSP, GeneCards, DisGeNET, SwissTargetPrediction, SuperPred, and PharmMapper. Subsequently, potential targets were predicted by intersecting the results from these databases via Venn analysis. Following target prediction, topological analysis was performed to identify key targets using Cytoscape software. Molecular docking was conducted using AutoDock Vina, with the binding pocket defined based on crystal structures. MD simulations were performed for 100 ns using GROMACS, and RMSD, RMSF, SASA, and hydrogen bonding dynamics were analyzed. MM/PBSA calculations were carried out to estimate the binding free energy of each protein-ligand complex. In vitro validation included RT-qPCR and Western blot, with GAPDH used as an internal control. ResultsThe CCK-8 assay demonstrated a concentration-dependent inhibitory effect of PA on NB cell viability. GO analysis suggested that the anti-NB activity of PA might involve cellular response to chemical stress, vesicle lumen, and protein tyrosine kinase activity. KEGG pathway enrichment analysis suggested that the anti-NB activity of PA might involve the PI3K/AKT, MAPK, and Ras signaling pathways. Molecular docking and MD simulations revealed stable binding interactions between PA and the core target proteins AKT1, EGFR, SRC, and HSP90AA1. RT-qPCR and Western blot analyses further confirmed that PA treatment significantly decreased the mRNA and protein expression of AKT1, EGFR, and SRC while increasing the HSP90AA1 mRNA and protein levels. ConclusionIt was suggested that PA may exert its anti-NB effects by inhibiting AKT1, EGFR, and SRC expression, potentially modulating the PI3K/AKT signaling pathway. These findings provide crucial evidence supporting PA’s development as a therapeutic candidate for NB.

Objective: To explore the association between serum nucleotide-binding oligomerization domain-like receptor protein 3 (NLRP3), NIMA-related kinase 7 (NEK7) and pulmonary fibrosis among patients with coal workers' pneumoconiosis, so as to provide a basis for the assessment of the degree of pulmonary fibrosis. Methods: Coal workers with pneumoconiosis hospitalized in the Second Affiliated Hospital of Xuzhou Medical University from July 2022 to July 2023 were selected by simple random sampling. Data such as age, stage of pneumoconiosis, and dust-exposure duration were collected through the hospital's electronic medical record management system. Venous blood was collected to detect the levels of serum NLRP3 and NEK7. High-resolution computed tomography (HRCT) image data of the chest were obtained through the hospital's imaging reporting system. The left and right lungs were divided into 6 pulmonary regions according to the upper, middle, and lower parts. The pulmonary fibrosis score was quantified according to the proportion of the pulmonary area occupied by HRCT manifestations of pulmonary fibrosis, including reticular shadows, pleural and interlobular septal thickening, traction bronchiectasis, and honeycombing. The association between the levels of serum NLRP3, NEK7, and pulmonary fibrosis was analyzed using a multiple linear regression model. Results: A total of 81 patients with coal workers' pneumoconiosis were included, all of whom were male, with a mean age of (71.46±11.69) years. There were 48, 28, and 5 cases in stage Ⅰ, stage Ⅱ, and stage Ⅲ of pneumoconiosis pathological staging, accounting for 59.26%, 34.57%, and 6.17%, respectively. There were 45 cases of tunneling and coal mining, accounting for 55.56%. There were 41 cases with dust exposure years of ≥30 years, accounting for 50.62%. The median serum NLRP3 and NEK7 in patients with coal workers' pneumoconiosis were 2.01 (interquartile range, 2.33) ng/mL and 0.98 (interquartile range, 0.83) ng/mL. The median score of pulmonary fibrosis was 5.00 (interquartile range, 5.50) points. After adjusting for age, stage of pneumoconiosis, type of work and dust-exposure duration, multiple linear regression analysis showed that serum NLRP3 (β'=0.649) and NEK7 (β'=0.346) were positively correlated with the pulmonary fibrosis score. Conclusion The increase in the levels of serum NLRP3 and NEK7 in patients with coal workers' pneumoconiosis is related to the increase in the degree of pulmonary fibrosis.