A 48-year-old female presented with a one-week history of painful and enlarged lymph nodes in the left neck.One-week systemic treatment with antibiotics resulted in no obvious improvement.Skin examination revealed palpable lymph nodes between the left lateral cervical papillae and clavicle,which appeared as a string of beads with a little mobility and obvious tenderness.The largest diameter of enlarged lymph nodes was about 2 cm.No enlarged lymph nodes were palpable in the other body sites.Histopathologically,histiocytes of various shapes,immunoblasts and plasmacytoid monocytes markedly proliferated with different degrees of karyorrhexis.Immunohistochemistry revealed that the lesions were positive for CD3,CDS,CD68,mouse macrophage inflammatory protein,and CD20.A diagnosis of histiocytic necrotizing lymphadenitis was made.

Objective To explore the mechanism of the gut-lung axis in paraquat-induced lung injury in mice, with a focus on analyzing the changes in intestinal gene expression and their potential roles. Methods Specific pathogen-free C57BL/6 wild-type mice were randomly divided into control, low-dose, and high-dose groups, with 10 mice in each group. Mice in the three groups received a single intragastric administration of paraquat solution at doses of 0, 25, or 50 mg/kg body weight. The mice were euthanized on day 21. Lung histopathological changes were assessed, and the differentially expressed genes (DEGs) in the intestinal tissues of mice in these two groups were analyzed through transcriptomics. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses were conducted to explore potential mechanisms of the gut-lung axis in paraquat-induced lung injury and fibrosis. Results Paraquat exposure induced dose-dependent pulmonary injury and fibrosis in the mice. The Ashcroft score of lung tissue was higher in the mice of low-dose group than that in the control group (P<0.05). Both the lung organ coefficient and Ashcroft score of lung tissues in the mice of high-dose group were higher than those in the control group and the low-dose group (all P<0.05). The result of transcriptomic analysis showed 146 DEGs, including 91 upregulated and 55 downregulated genes, in intestinal tissues of mice in the low-dose group, and 57 DEGs, including 47 upregulated and 10 downregulated genes in the high-dose group, compared with the control group. Notably, 19 DEGs were commonly altered in both low- and high-dose groups. The result of GO enrichment analysis showed that the DEGs were primarily involved in biological processes including "immune response", "oxidative stress" and "cell differentiation". The result of KEGG enrichment analyses showed that DEGs were primarily involved in key processes including "oxidative stress response path way", "immune response path way" and "digestion and absorption path way". Conclusion Paraquat exposure alters intestinal gene expression, particularly in genes in biological processes related to immune responses and oxidative stress. These changes may mediate inflammatory signaling via the gut-lung axis and contribute to the development of paraquat-induced pulmonary fibrosis.

Early diagnosis of pulmonary diseases is of great significance for their prevention and treatment. Serum Krebs von den Lungen-6 (KL-6) assay can reflect the damage degree of alveolar epithelium and stromal tissue, and is simple, non-invasive and low-cost. Pervious study showed that the serum KL-6 level was higher in patients with various interstitial lung diseases (e.g. idiopathic pulmonary fibrosis and connective tissue disease, primary Sjögren's syndrome, rheumatoid arthritis, idiopathic inflammatory myopathy and systemic sclerosis combined with interstitial lung disease), non-small cell lung cancer, various pneumonias and chronic obstructive pulmonary disease compared to healthy controls. Therefore, serum KL-6 has good sensitivity and specificity for the early diagnosis of these diseases. Occupational pneumoconiosis is an interstitial lung disease with a well-established etiology. Pervious study has shown that serum KL-6 level was higher in patients with occupational silicosis, occupational asbestosis, and dust-exposed workers compared to healthy controls. However, due to the limited sample size and the inconsistent findings on different studies, further research is needed to study the role of serum KL-6 in the early diagnosis of pneumoconiosis. Future studies should increase the sample size, improve the detection methods for serum KL-6, explore its feasibility as an early diagnostic biomarker for occupational pulmonary diseases, and investigate the efficacy andvalue of its combined application with other biomarkers in the early diagnosis of various pulmonary diseases, including occupational lung diseases, to fully exploit its predictive role in pulmonary diseases.

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.

Objective To explore the mechanism of action of curcumin in the treatment of silicosis by network pharmacology combined with molecular docking technology. Methods The targets prediction network of curcumin in treating silicosis was established based on the collection of targets of curcumin and silicosis in multiple databases, cross-targets were submitted to the STRING database, and their connectivity was analyzed by Cytoscape software. Gene ontology (GO) function analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis were performed on the top 20 genes. The molecular docking was performed on the key targets to study the mechanism of action of curcumin in treating silicosis. Results A total of 311 targets related to curcumin, 270 targets related to silicosis, and 74 cross-targets were obtained from the databases. GO function analysis revealed 2 665 related pathways, and KEGG pathway enrichment analysis revealed 188 related pathways. Molecular docking results showed that curcumin had good binding ability with the targets of mitogen-activated protein kinase 3 (MAPK3), interleukin (IL) 6, serine/threonine kinase 1 (AKT1), vascular endothelial growth factor A (VEGFA), signal transducer and activator of transcription 3, albumin, Jun proto-oncogene, tumor necrosis factor (TNF), IL1B, tumor protein p53, C-C motif chemokine ligand 2 and fibronectin 1. Conclusion The therapeutical effects of curcumin on silicosis were implemented through multi-targets and multi-pathways. Curcumin may play a role in the treatment of silicosis by binding to the core targets MAPK3, IL6, AKT1, VEGFA and TNF and regulating the MAPK, IL6, TNF, phosphatidylinositol 3-kinase/protein kinase B and VEGF signaling pathways.

Objective To detect and analyze the susceptibility genes of methyl acetate poisoning in patients by whole exome sequencing. Methods Two patients with occupational acute severe methyl acetate poisoning and their first-degree relatives who work in the same occupation and position with similar working hours were selected as the research subjects by judgment sampling method. Peripheral blood was collected for whole exome sequencing. The sequencing data was compared with the public genome database to screen the mutation sites and find out the gene sites related to methyl acetate poisoning. The suspected pathogenic mutation genes were annotated and interpreted. Results The results of whole exome sequencing showed that there were 40 differential genes between the patients with methyl acetate poisoning and their first-degree relatives, including 80 single nucleotide polymorphisms and eight Indel with specific marker sequence index. Among these, the genes with strong correlation were carboxyesterase 1 (CES1) and mucin (MUC) 5B. The CES1 gene loci c.248C>T (p.Ser83Leu) heterozygous mutations, MUC5B gene loci c.6635C>T (p.Thr2212Met) and c.7685C>T (p.Thr2562Met) heterozygous mutations in patients with methyl acetate poisoning were detected. They were missense mutations. By constructing a protein-protein interaction network, a total of 11 pairs of interactions with high levels of evidence were identified, involving genes such as lysine methyltransferase 2C, HECT and RLD domains containing E3 ubiquitin protein ligase 2, neutrophil cytoplasmic factor 1, nicotinamide adenine dinucleotide phosphate oxidase 3, C-terminal binding protein 2, zinc finger protein 717, FSHD region gene 2 family member C, FSHD region gene 1, MUC4, MUC6, MUC5B, and MUC12. Conclusion The polymorphism of CES1 and MUC5B genes may be related to the occurrence and development of methyl acetate poisoning in patients.

A randomized crossover study was performed to compare the effects of low glycemic index diets (LGI)and high glycemic index diets(HGI)on blood glucose,lipid profile and control of body weight in patients with type 2 diabetes.Compared with HGI group,the fasting serum insulin,Homa-IR,LDL-C and body weight significantly decreased in LGI group(P

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.

Objective: To investigate the specificity of endogenous metabolic profile in plasma of patients with occupational acute methyl acetate poisoning using non-targeted metabolomics. Methods: A total of six patients with occupational acute methyl acetate poisoning were selected as the poisoning group, while 10 healthy workers without occupational exposure history of chemical hazards in the same industry were selected as the control group using the judgment sampling method. Metabolites in patient plasma of the two groups were detected using ultra-high performance liquid chromatography coupled with quadrupole time-of-flight mass spectrometry, and non-targeted metabolomics analysis was performed. Principal component analysis and partial least squares discriminant analysis were used to identify differential metabolites and analyze their metabolic pathways. Results: There were significant differences in metabolite profiles in patient plasma between poisoning group and control group. A total of 195 differentially expressed metabolites were screened in plasma of patients in poisoning group, including 119 upregulated and 76 downregulated metabolites. Lipid substances (lipids and lipid-like molecules) accounted for the highest proportion (21.5%). The differential metabolites of poisoning group were related to folate biosynthesis, amino acid metabolism, pyrimidine metabolism, sphingolipid biosynthesis and other metabolic pathways in plasma compared with the control group (all P<0.05). Conclusion: Occupational acute methyl acetate poisoning affects metabolism of the body. The folic acid biosynthesis, amino acid and lipid metabolism and other pathways may be involved in the occurrence and development of poisoning.