[摘 要] 目的：探究长链非编码RNA葡萄糖醛酸酶β假基因11（GUSBP11）调节miR-339-5p/小鼠双分钟同源物2（MDM2）轴对胃癌细胞AGS增殖、迁移和侵袭的影响。方法：收集2023年12月至2024年6月期间在广州中医药大学附属佛山中医院手术治疗的25例胃癌患者的癌旁组织及癌组织。常规培养胃癌细胞AGS和正常胃黏膜上皮细胞GES-1，用转染试剂将对照质粒和敲减质粒转染AGS细胞，分为Ctrl组、sh-NC、sh-GUSBP11、sh-GUSBP11 + anti-NC、sh-GUSBP11 + anti-miR-339-5p。qPCR法检测胃癌组织及各组细胞中GUSBP11、miR-339-5p和MDM2 mRNA的表达；双萤光素酶报告基因实验检测GUSBP11或MDM2与miR-339-5p间的靶向关系；EdU法检、Transwell小室实验、划痕愈合实验和WB法分别检测各组AGS的增殖、迁移和侵袭能力和细胞中CDK1、MMP-2、MMP-9蛋白的表达；AGS细胞移植瘤实验检测敲减GUSBP11对移植瘤生长的影响。结果：胃癌组织和细胞中GUSBP11、MDM2 mRNA均呈高表达（均P < 0.05），miR-339-5p呈低表达（P < 0.05）。GUSBP11与miR-339-5p和MDM2与miR-339-5p间存在靶向关系。在AGS细胞中敲减GUSBP11可明显抑制MDM2蛋白、促进miR-339-5p的表达而抑制miR-339-5p则可促进MDM2蛋白表达。敲减GUSBP11可抑制AGS细胞的增殖、迁移和侵袭能力而抑制miR-339-5p则可逆转此作用。敲减GUSBP11可明显抑制CDK1、MMP-2和MMP-9蛋白的表达而抑制miR-339-5p则可逆转此作用。敲减GUSBP11可明显抑制AGS细胞移植瘤的生长。结论：GUSBP11在胃癌组织和细胞中呈高表达，敲减GUSBP11表达可能通过调控miR-339-5p/MDM2轴抑制胃癌细胞的恶性生物学行为。

Objective To establish a method for simultaneous determination of four high-molecular-weight thiol derivatives (TDs) in workplace air by gas chromatography. Methods The four kinds of vapor-phase macromolecular TDs (1-pentanethiol, 1-hexanethiol, 1-benzyl mercaptan, and n-octanethiol) in the workplace air were collected using the GDH-1 air sampling tubes, desorbed with anhydrous ethanol, separated on a DB-FFAP capillary column, and determined by flame ionization detector. Results The quantitation range of the four TDs was 0.30-207.37 mg/L, with the correlation coefficients greater than 0.999 00. The minimum detection mass concentrations and minimum quantitation mass concentrations were 0.18-0.32 and 0.60-1.05 mg/m³, respectively (both calculated based on the 1.5 L sample and 3.0 mL desorption solvent). The mean desorption efficiencies ranged from 87.07% to 103.59%. The within-run and between-run relative standard deviations were 1.92%-8.22% and 1.89%-8.45%, respectively. The samples can be stored at room temperature or 4 ℃ for three days and up to 7 days at -18 ℃. Conclusion This method is suitable for the simultaneous determination of four vapor-phase TDs in workplace air.

[摘 要] 目的：探讨白蛋白结合型紫杉醇联合PD-1抑制剂用于治疗一线化疗失败的骨与软组织肉瘤的疗效及安全性。方法：回顾性分析北京积水潭医院骨肿瘤科2017年8月至2020年8月收治的一线化疗失败的晚期骨与软组织肉瘤患者。患者接受白蛋白结合型紫杉醇（125~140 mg/m2，第1天和第8天）与PD-1抑制剂（信迪利单抗或特瑞普利单抗，每21 d一次）联合治疗。每2个治疗周期评估1次疗效，按RECIST 1.1标准评估肿瘤疗效，按NCI-CTCAE5.0标准评估不良反应。结果：共20名患者纳入研究，完成1至8个治疗周期，中位治疗周期数为3个。所有患者均可评估疗效，完全缓解4例（20%），部分缓解0例，稳定9例（45%），疾病进展7例（35%）。客观缓解率（ORR）为20%，疾病控制率（DCR）为65%。中位无进展生存期（PFS）为3.0个月。治疗期间主要不良反应包括2级白细胞减少（40%）、1-2级神经毒性反应（20%），以及2级甲状腺功能减退（10%）。结论：白蛋白结合型紫杉醇联合PD-1抑制剂治疗为一线化疗失败的晚期骨与软组织肉瘤患者提供了一种潜在的治疗选择，其不良反应可控，值得开展更大样本的前瞻性研究进一步验证其疗效。

Objective To investigate the technical capacity and service quality of occupational health technical service institutions (hereinafter referred to as "occupational health institutions") in Guangdong Province. Methods All occupational health institutions in Guangdong Province that had valid occupational health service qualifications and within the validity period were included for analysis. Data on basic information, employed personnel, and results of professional technical capacity assessments across occupational health institutions were obtained through the Guangdong Provincial Occupational Health Technical Quality Control Center. Results A total of 99 institutions with 2 732 technical staff were included in this study. Occupational health institutions in Guangdong Province were mainly distributed in the Pearl River Delta region, accounting for 87.9% (87/99) of the total. The number of public and private health institutions was 23 and 76, accounted for 23.2% and 76.8% respectively. In terms of technical personnel, the percentage of individuals worked in public or private health institutions was 24.1% and 75.9%, respectively. Personnel titles were predominantly intermediate level and no title, accounting for 38.7% and 26.4%, respectively. Individuals with a bachelor′s degree or above accounted for 67.4%. Engineering and other professionals accounted for 35.4% and 30.5%, respectively. Private institutions undertook 97.3% of testing and evaluation workload related to occupational hazard in the province. The number of occupational health institutes acquiring category Ⅰ and Ⅱ service license were 97 and 13. Among institutions participating in inter-laboratory comparisons, the overall pass rates for quantitative items were 95.5% in public and 70.3% in private institutions, while the pass rates for qualitative items were 100.0% and 94.5%, respectively. Conclusion Occupational health institutions in Guangdong Province face issues such as imbalanced regional distribution, uneven development, and insufficient technical competence and testing capacity of professional personnel. Health authorities at all levels should continue to strengthen supervision and quality control to solidify the technical foundation and comprehensively enhance service capacity and quality.

Objective:To evaluate the efficacy and safety of regional citrate anticoagulation (RCA) during plasma exchange (PE) in pediatric patients.Methods:We conducted a retrospective analysis of 12 critically ill children admitted to the Pediatric Intensive Care Unit (PICU) of Jinan Children's Hospital, who underwent 28 PE sessions with RCA between December 2023 and August 2024. Clinical records were reviewed to assess bleeding events, extracorporeal circuit performance, and changes in arterial blood gas parameters, serum total calcium (Ca tot), and activated clotting time before and after treatment. Results:No patients exhibited signs of increased bleeding. In one case, the procedure was discontinued prematurely due to elevated venous pressure. A significant decrease in ionized calcium (Ca ion) was observed 0.5 hours post-treatment. At the end of PE, pH, HCO 3?, base excess (BE), lactate, PaCO 2, Ca tot, and Na + levels increased, while K + and Ca ion levels decreased, with all changes being statistically significant. Four hours post-treatment, pH, HCO 3?, BE, PaCO 2, and Na + remained elevated, whereas Ca ion, lactate, and K + returned to baseline. By 12–15 hours post-treatment, all parameters—including pH, HCO 3?, BE, PaCO 2, Na +, K +, Ca ion, and lactate—had normalized, showing no significant differences from pre-treatment levels. Conclusions:RCA provides effective extracorporeal anticoagulation during pediatric PE without increasing bleeding risk. However, metabolic complications—primarily metabolic alkalosis—are common. These disturbances typically resolve spontaneously and do not lead to severe adverse events. While no ideal anticoagulant for PE has yet been established, RCA remains a safe and effective option, particularly for pediatric patients at higher risk of bleeding.

Dust and chemical substances are widely present occupational hazards in workplaces. Long-term exposure to dust and chemical substances can pose serious threats to workers′ health. Owing to their advantages in real-time detection, rapid response, and high accuracy, online monitoring technologies enable continuous measurement and analysis of the concentration and composition of dust and chemical substances in workplaces. These technologies provide timely and effective data support for the prevention and control of occupational diseases and have become an important protective tool in the field of occupational hazard. Current online monitoring technologies for workplace dust mainly include the tapered element oscillating microbalance method, light scattering method, β-ray method, triboelectric charging, video exposure monitoring, and ultrasonic methods. Online monitoring devices for workplace chemical substances are still in the early stages of development. However, this equipment has been partially applied in environmental monitoring, covering methods such as spectral analysis, electrochemical sensors, cataluminescence sensors, and intelligent sensing systems. In the future, the development of online dust monitoring technology should focus on overcoming technical bottlenecks to improve detection accuracy and exploring the synergistic effects of different technologies to compensate for the limitations of single methods. Meanwhile, online monitoring technologies for chemical substances should aim to develop integrated detection systems that combine high precision, real-time performance, low cost, and stability.

Objective To conduct hazard vulnerability analysis(HVA)in a blood bank,aimed to identify high-risk e-vents and optimize emergency management measures.Methods The risk event evaluation index system was established by referring to the Kaiser model and the situation of Guangzhou Blood Center,and risk events were ranked by risk matrix and Borda count.Results The top five events with the highest risk values identified by Kaiser model were information system e-mergencies(39.61％),extreme weather(38.03％),major public sentiment(37.86％),public health events(37.37％)and policy changes(37.24％).The results of risk matrix and Borda count revealed 1 extremely high-risk indicator as information system emergency,5 high-risk indicators with the highest risk being major public sentiment,11 medium-risk indicators with the highest risk being major medical disputes and 1 low-risk indicator as external fires.Conclusion Conducting HVA in combination with the actual situation of blood banks can effectively identify high-risk events and provide theoretical basis for improving emergency management measures.

Objective To analyze differential metabolites (DMs) in the urine of workers with occupational nickel exposure using non-targeted metabolomics, and to screen differential metabolic pathways. Methods A total of 30 nickel exposed workers were selected as the exposure group, and 30 administrative staff from the same factory were selected as the control group using the judgment sampling method. Urine samples of the individuals from the two groups were collected. The ultra-high performance liquid chromatography with quadrupole time-of-flight mass spectrometry and non-targeted metabolomics were used to detect and identify metabolites. The differential metabolic profiles were compared between workers of the two groups, and key differential metabolic pathways and potential biomarkers were screened. The association of DMs and urinary nickel level were evaluated by Spearman correlation coefficients. The sensitivity and specificity of biomarkers were assessed by receiver operating characteristic (ROC) curve analysis. Results A total of 418 metabolites were identified in the urine of worker in the exposure and control groups. The result of principal component analysis and orthogonal partial least squares analysis showed that there were 128 DMs in the urine of workers in the exposure group compared with the control group. These DMs were mainly enriched in glutathione metabolism, carnitine synthesis, and amino acid and nucleotide metabolism pathways, including glycine and serine metabolism. The result of correlation analysis and ROC curve analysis revealed that 4-methylcatechol, 4-vinylphenol sulfate, 2-hydroxyphenylacetone sulfate, 2-dodecylbenzenesulfonic acid, and decylbenzenesulfonic acid could be the potential biomarkers for nickel exposure (all area under the ROC curve >0.800). Conclusion There were significant differences in the urinary metabolic profiles of workers with occupational nickel exposure. The five DMs including 4-methylcatechol, 4-vinylphenol sulfate, 2-hydroxyphenylacetone sulfate, 2-dodecylbenzenesulfonic acid, and decylbenzenesulfonic acid. These DMs could be potential biomarkers of occupational nickel exposure.

Biotoxins, which include bacterial, fungal, marine, plant, and animal toxins, are widespread in living and occupational environments, posing potential threats to human health. Rapid detection of biotoxins in blood is crucial for preventing health hazards and enabling timely disease diagnosis and treatment. Biosensors and immunoassay technologies have critical advantages in the rapid detection of biotoxins in blood. Common biosensors, such as surface plasmon resonance biosensors and fluorescent biosensors, enhance sensitivity and reduce detection limits through signal amplification. Common immunoassay methods, such as colloidal gold immunochromatography, fluorescence immunochromatography, and chemiluminescence immunoassay, improve detection efficacy and sensitivity through specific antibody-antigen binding and nanotechnology. However, current rapid detection technologies of bitoxins in blood face challenges such as matrix interference and insufficient specificity, and they fall short in high-throughput detection of multiple toxins simultaneously. Future developments should focus on improving sample pretreatment, innovating signal amplification methods, enhancing specificity on recognition of elements, and designing portable detection devices and high-throughput platforms for simultaneous toxin analysis. These advancements aim to improve the sensitivity and reliability of detection methods, providing more accurate and convenient solutions for biotoxin detection in blood.

Metabolomics, including targeted metabolomics and non-targeted metabolomics, is a method to study endogenous small molecule metabolites in organisms. The process of metabolomics analysis generally includes sample collection and pre-treatment, sample detection, data preprocessing, metabolite identification, data statistical analysis, and others. At present, metabolomics technology has been applied to study toxicological mechanism of occupational hazards, early detection and diagnosis of occupational diseases, screening biomarkers of occupational exposure, and others. The application of metabolomics technology to explore the relationship between workers' metabolites and exposure to occupational hazardous, assess the potential impact of occupational exposure on workers' health, and search for ideal biomarkers or therapeutic targets is conducive to early warning and monitoring of occupational health hazards, and assistance in the early diagnosis and prognosis of occupational diseases.In the future, further research is needed in the field of occupational health using metabolomics to establish more complete and standardized workflows and experimental methods, combine big data technology to explore potential biomarkers, utilize metabolic information to provide precise occupational health services, and use artificial intelligence models for data mining and disease diagnosis in metabolomics.