Work serves as a critical means of obtaining resources, facilitating personal growth, realizing self-worth, and engaging in social interactions. However, work-related diseases pose significant threats to workers’ health and productivity, and impose considerable economic burdens. This article categorized work-related diseases into six major types, including musculoskeletal disorders, mental and behavioral disorders, cardiovascular and metabolic diseases, digestive system diseases, reproductive system diseases, and non-specific respiratory diseases, and summarized their risk factors, assessment methods, policy regulation, and prevention and control measures. Current research in this field predominantly relies on cross-sectional studies, which present limitations in causal inference and potential risks of bias. Future studies should expand sample sizes, optimize research designs, and establish multidimensional evaluation systems to comprehensively assess the health and economic impacts of work-related diseases. It is recommended to enhance the translation of research findings into practice, thereby providing a scientific basis for the occupational health protection system and promoting the well-being and sustainable development of the working population.

Bovine piroplasmosis, caused by infections with genus of Babesia and Theileria, is a tick-borne hemoparasitic disease. Recovered cattle often become asymptomatic persistent carriers, which represent potential sources of infection, and the pathogens of some forms of bovine piroplasmosis have zoonotic potential, which greatly threatens the public health security. Currently, the etiological diagnostic approaches of bovine piroplasmosis mainly include microscopy of blood smears, PCR assay, fluorescent quantitative real-time PCR assay, and loop-mediated isothermal amplification, and serological assay mainly includes indirect fluorescent antibody assay, enzyme-linked immunosorbent assay and immunochromatographic assay. This article systematically reviews the advances in the application of etiological approaches and serological assay for diagnosis of bovine piroplasmosis, and proposes future directions in the development of bovine piroplasmosis diagnosis, so as to provide insights into effective surveillance and precision control of bovine piroplasmosis in China.

This study investigated the role of the nuclear factor of activated T cells c3 (NFATc3) in vascular smooth muscle cells (VSMCs) during aortic aneurysm and dissection (AAD) progression and the underlying molecular mechanisms. Cytoplasmic and nuclear NFATc3 levels were elevated in human and mouse AAD. VSMC-NFATc3 deletion reduced thoracic AAD (TAAD) and abdominal aortic aneurysm (AAA) progression in mice, contrary to VSMC-NFATc3 overexpression. VSMC-NFATc3 deletion reduced extracellular matrix (ECM) degradation and maintained the VSMC contractile phenotype. Nuclear NFATc3 targeted and transcriptionally upregulated matrix metalloproteinase 9 (MMP9) and MMP2, promoting ECM degradation and AAD development. NFATc3 promoted VSMC phenotypic switching by binding to eukaryotic elongation factor 2 (eEF2) and inhibiting its phosphorylation in the VSMC cytoplasm. Restoring eEF2 reversed the beneficial effects in VSMC-specific NFATc3-knockout mice. Cabamiquine-targets eEF2 and inhibits protein synthesis-inhibited AAD development and progression in VSMC-NFATc3-overexpressing mice. VSMC-NFATc3 promoted VSMC switch and ECM degradation while exacerbating AAD development, making it a novel potential therapeutic target for preventing and treating AAD.

Objective:To investigate the feasibility of deep learning reconstruction (DLR) algorithm combined with a dual-low protocol (low radiation dose and low contrast medium dose) for thoracoabdominal aortic CT angiography (CTA).Methods:This cross-sectional study prospectively enrolled 56 patients suspected of aortic diseases who underwent aortic CTA at China-Japan Friendship Hospital from June 2023 to June 2024. All patients were randomly divided into two groups: Group A (28 cases) underwent CTA with a tube voltage of 100 kVp, automatic tube current modulation (noise index=10), and a contrast agent dose of 80 ml (flow rate 5 ml/s), with images reconstructed using the three-dimensional adaptive iterative dose reduction algorithm (AIDR). Group B (28 cases) underwent CTA with a tube voltage of 80 kVp, automatic tube current modulation (noise index=25), and a contrast agent dose of 40 ml (flow rate 3.5 ml/s), with images reconstructed using either the deep learning reconstruction algorithm-Advanced intelligent Clear-IQ Engine (AiCE subgroup) or the AIDR (AIDR subgroup). Two physicians evaluated the image quality of the three groups subjectively and objectively. Objective evaluation metrics included CT values, image noise (SD), signal-to-noise ratio (SNR), and contrast-to-noise ratio (CNR) at the ascending aorta, carina-level descending aorta, celiac trunk-origin abdominal aorta, and common iliac bifurcation abdominal aorta carina. Subjective evaluation metrics included image quality and noise scores. Comparisons among the three datasets (Group A, AiCE subgroup, AIDR subgroup) were performed using one-way ANOVA or the Kruskal-Wallis test, with appropriate post-hoc tests for pairwise comparisons.Results:No significant differences were observed in CT values of the ascending aorta, descending aorta, and abdominal aorta between Group A and the AiCE subgroup or the AIDR subgroup ( P0.05). However, significant overall differences were found in SD, SNR, and CNR values for the ascending aorta, descending aorta, and abdominal aorta ( P0.05). Pairwise comparisons revealed that, except for no significant differences in SD, SNR, and CNR values of the ascending and descending aorta between Group A and the AiCE subgroup, and no significant difference in SNR values of the ascending and abdominal aorta between Group A and the AIDR subgroup ( P0.05), all other intergroup comparisons showed statistically significant differences ( P0.05). Significant overall differences were also observed in image quality and noise scores between Group A and the AiCE and AIDR subgroups ( P0.05). Except for no significant differences in image quality and noise scores between Group A and the AiCE subgroup ( P0.05), all other pairwise comparisons showed statistically significant differences ( P0.05). Conclusions:The application of deep learning reconstruction algorithm combined with a dual-low protocol in thoracoabdominal aortic CTA can reduce radiation dose and contrast agent dose while maintaining diagnostic image quality, demonstrating significant clinical value for widespread adoption.

Objective:To establish a prognostic model and explore its clinical application based on disease progression within 24 months(POD24)in patients with multiple myeloma(MM).Methods:A total of 289 patients newly diagnosed with MM at Wuxi People's Hospital from January 2007 to June 2022 were selected as the training group for retrospective analysis.A prognostic model based on POD24 was constructed using Cox univariate and multivariate analyses of overall survival(OS).A total of 184 patients from The First Affiliated Hospital of Soochow University from August 2015 to December 2019 were included in the validation group to verify the predictive efficacy of the model.Results:Age,β2-microglobulin,Calcium,and POD24 were independent prognostic factors for MM.Patients in the high-risk group(≥2 points)had shorter OS(25.0 months vs.60.0 months)and progression-free survival(PFS)(14.0 months vs.56.0 months)than those in the low-risk group(<2 points).In addition,OS and PFS differed between the high-and low-risk groups in the entire validation group,as well as in each patient subgroup(P<0.05).Conclusions:The prognostic model based on POD24,age,β2 microglobulin,and Calcium holds prognostic value for patients newly diagnosed with MM in clinical practice.

Objective To analyze the academic literature on sepsis-related microRNA(miRNA)at worldwide,and to dentify thematic hotspots and future research trends.Methods A bibliometric analysis was employed to retrieve the literature on sepsis-related miRNA published in the core collection of China National Knowledge Infrastructure(CNKI),and Web of Science(WOS)databases from January 1,2010,to January 1,2025,which met the article inclusion criteria,and used CiteSpace 6.3.1 software to perform the co-occurrence analysis of keywords,keyword emergence analysis,and cluster analysison;on the basis of these analyses,the keywords were sorted according to time to generate clustering time line figure to explore the current status and hotspot evolution process of sepsis-related miRNA.Results A total of 135 and 1 278 articles were retrieved from CNKI and the core collection of WOS databases,respectively.The frequency and centrality of keywords such as sepsis,prognosis,microRNA,acute lung injury,acute kidney injury,etc.were high in 135 documents in CNKI;in 1 278 documents in WOS core collection,the frequency and centrality of keywords such as expression,sepsis,inflammation,cells,micrornas,etc.were high;The top 10 keywords in the CNKI database in terms of burst intensity were:microRNA,inflammatory response,inflammatory factor,interleukin-10,tumor necrosis factor-α,acute respiratory distress syndrome,interleukin-35,septic shock,rat,tiny microRNA-155(miR-155);the top 10 keywords in the core collection of the WOS database in terms of burst intensity were:expression,NF-κB,microRNA,cells,induction,pathway,mechanisms,septic shock,mortality,cancer.Representative clustering tags in the CNKI are#0 prognosis,#1 miRNA,#2 septic shock;The representative clustering labels in the core collection of WOS database are#0 acute lung injury,#1 cancer,#2 septic shock,and so on.In CNKI and WOS core databases,the early keywords mainly revolve around the study of inflammatory factors and related mechanisms of sepsis,and the research center gradually shifts to the clinical physiological injuries as well as complications and mortality in the later stage,miRNA-126,AMP-activated protein kinase,interleukin-35 and other keywords have emerged.Among the top 10 most-cited English literature,researchers have paid particular attention to studying various miRNA as potential biomarkers of sepsis,including miR-146a,miR-223 and miR-146.Conclusions There are similarities and differences in the direction and hotspots of sepsis-related miRNA research in China and abroad.The research paradigm of sepsis has gradually shifted from the early clinical observation focusing on the overall complications and prognosis of patients to the basic research centered on the molecular mechanisms of inflammatory factors and signaling pathways.In this context,the study of miRNA as novel biomarkers for sepsis has been increasingly emphasized,and miRNA represent a promising direction for sepsis research,with potential applications both in basic research and clinical treatment.

Objective:To investigate the correlation between mutations in KRAS, NRAS, BRAF, and PIK3 CA and the clinical characteristics of elderly colorectal cancer(CRC)patients. Methods:Paraffin-embedded tissue samples were obtained from 191 elderly CRC patients who consulted at Huadong Hospital, affiliated to Fudan University, between January 2022 and July 2023.Following deoxyribonucleic acid(DNA)extraction, the amplification refractory mutation system polymerase chain reaction(ARMS-PCR)was employed to detect the mutation profiles of KRAS, NRAS, BRAF, and PIK3 CA.Concurrently, serum samples collected prior to radical resection were analyzed for carcinoembryonic antigen(CEA), carbohydrate antigen 19-9(CA19-9), and carbohydrate antigen 72-4(CA72-4)using electrochemical luminescence.A comparative analysis of the clinical characteristics and preoperative serological tumor marker concentrations among patients with different gene mutations was conducted to elucidate their correlation. Results:A total of 191 elderly CRC patients were enrolled in the study, with ages ranging from 60 to 94 years(mean age 72.1±7.8 years), including 112 males.The mutation rate of KRAS, NRAS, BRAF, and PIK3 CA, as determined by combined detection, was found to be 49.21%(94/191)among elderly CRC patients. KRAS exhibited the highest mutation rate at 35.08%, with statistically significant differences observed in gender, primary site, degree of differentiation, and neurovascular invasion between patients with and without KRAS mutations( P<0.05 for all comparisons).The BRAF mutation rate was 8.90%, and significant differences in gender, age, primary site, and degree of differentiation were also noted between patients with and without BRAF mutations( P<0.05 for all).The mutation rates for NRAS and PIK3 CA were 2.62% and 5.24%, respectively, with no statistically significant differences in the clinical characteristics of patients across different groups( P>0.05 for all).Additionally, the proportion of patients over the age of 90 in the double mutation group was significantly higher( P<0.01).Significant differences in serum CA19-9 concentrations were observed among the various mutation types( P<0.05). Conclusions:There are notable differences in age, gender, primary site, degree of differentiation, and neurovascular invasion among elderly CRC patients with varying mutation statuses of KRAS, NRAS, BRAF, and PIK3 CA.Patients with double mutations exhibited higher concentrations of CA19-9 in preoperative serum.

The proliferation of antibiotic-resistant Staphylococcus aureus poses an escalating threat to global public health.These superbugs have developed resistance to multiple antimicrobial agents, significantly increasing treatment complexity and costs. In the face of this challenge, the development of novel antimicrobial drugs is imperative, yet traditional research and development pathways are hindered by high costs and a lack of new targets. In recent years, researchers have pioneered an innovative approach: re-evaluating the antimicrobial potential of existing non-antibiotic drugs. This drug repurposing strategy leverages the known pharmacological properties of existing drugs, offering new perspectives for antimicrobial therapy. This paper reviews the mechanisms of action of 15 non-antibiotic drugs, including Diacerein and Niclosamide, in combating drug-resistant Staphylococcus aureus strains. This research not only provides new options for clinical practice but also paves innovative pathways for addressing bacterial resistance. Through interdisciplinary collaboration and innovative thinking, the battle against these multidrug-resistant pathogens is poised to achieve breakthrough progress.

Colorectal cancer （CRC） is a prevalent malignant tumor of the digestive tract， with a high incidence and high mortality. The majority of patients are diagnosed at the middle or advanced stage， which severely influences and threatens their physical health. Current treatment modalities such as surgery， radiotherapy， and chemotherapy often encounter challenges including metastasis， recurrence， and drug resistance. The phosphatidylinositol 3-kinase （PI3K）/protein kinase B （Akt）/mammalian target of rapamycin （mTOR） signaling pathway serves as a classical regulator that regulates physiological processes such as cell cycle， autophagy， apoptosis， and proliferation. Overexpression of this pathway is observed in various tumors. In the context of CRC， the activation of this pathway can facilitate the proliferation， invasion， and migration， inhibit the autophagy and apoptosis， promote the epithelial-mesenchymal transition of CRC cells， enhance angiogenesis within the tumor， and contribute to chemotherapy resistance and radiation resistance in CRC. Traditional Chinese medicine （TCM） treatment can exert an anti-CRC effect by inhibiting this pathway， thereby improving clinical efficacy and safety. This article retrieves relevant research literature published domestically and internationally regarding the regulation of the PI3K/Akt/mTOR signaling pathway by TCM in the treatment of CRC and conducts detailed classification and summary. The active components of TCM include glycosides， flavonoids， alkaloids， terpenoids， polyphenols， and naphthoquinones. The volatile oils and extracts of TCM include Angelicae Sinensis Radix volatile oil， Astragali Radix polysaccharides， Caryophylli Flos extract， Forsythiae Fructus extract， Curcumae Longae Rhizoma extract， and Celastrus orbiculatus extract. The compound formulas of TCM include Banxia Xiexin decoction， Jianpi Qingre Huoxue formula， and Chanling Plaster. Through summary and analysis， it is discovered that the abovementioned TCM can produce effects such as blocking the cell cycle， inducing autophagy and apoptosis， inhibiting angiogenesis， suppressing proliferation and migration， and reversing chemotherapy resistance and radiotherapy resistance by inhibiting the PI3K/Akt/mTOR pathway in CRC cells. TCM holds promise in the research and application of targeting the PI3K/Akt/mTOR signaling pathway for CRC treatment. The summary and conclusion of this article aim to provide references for subsequent research and the development of new drugs.