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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.
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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.
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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.
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Objective To explore the beneficial effects and mechanisms of neutrophil elastase (NE) and myeloperoxidase (MPO) on lead-induced hepatic inflammation in mice. Methods The specific pathogen free male C57BL/6 mice were randomly divided into four groups： control group, lead-exposed group, NE inhibitor group, and MPO inhibitor group, with three mice in each group. The mice in lead-exposed group, NE inhibitor group, and MPO inhibitor group were intraperitoneally injected with a dose of 10 mg/kg body mass of lead acetate solution, while the mice of control group received an equal volume of 0.9% saline three times per week for four weeks. In the last seven days, mice in both inhibitor groups were intraperitoneally injected with a dose of 40 mg/kg NE inhibitor sivelestat sodium or MPO inhibitor 4-aminobenzoic acid hydrazide (4-ABAH) once per day. Mouse body weight and liver histopathological changes were observed. The mRNA expression of genes associated with inflammation, such as tumor necrosis factor-α (Tnfa), interleukin-1β (Il1b), interleukin-6 (Il6), and nucleotide-binding oligomerization domain-like receptor protein 3(Nlrp3), apoptosis-associated speck-like protein (Asc) and cysteinyl aspartate specific proteinase (Caspase1) in the mouse liver tissues was detected by real-time quantitative polymerase chain reaction. The protein expression of NLRP3, ASC, and CASPASE-1 was detected using Western blotting. Results The activities of mice in all four groups were generally normal, and there was no significant difference in body weight (P>0.05). The results of hematoxylin-eosin staining showed that the cell size of hepatocytes varied in the lead-exposed mice, with indistinct cell boundaries, indicating early inflammatory responses in liver tissues. After intervention with NE or MPO inhibitors, the early inflammatory responses improved in the liver tissues of the mice in both inhibitor groups, with a better improvement observed in MPO inhibitor group compared with the NE inhibitor group. The mRNA expression of Tnfa, Il1b, Il6, Nlrp3, Asc, and Caspase1, as well as the protein expression of ASC, and CASPASE-1 in the livers of mice in the lead-exposed group was higher compared with those in the control group (all P<0.05). Compared with the lead-exposed group, the relative mRNA expression of Tnfa, Il1b, Il6, Nlrp3 and Asc was decreased in the liver tissues of mice in the NE inhibitor group (all P<0.05), while the relative expression of mRNA of Tnfa, Il1b, Il6, Caspase1 and the protein expression of ASC and CASPASE-1 were decreased in the liver tissues of mice in the MPO inhibitor group (all P<0.05). Conclusion Lead induce hepatic inflammation in mice by activating NLRP3 inflammasome. The inhibition of NE or MPO improve the lead-induced hepatic inflammatory responses in mice by alleviating NLRP3 inflammasome activation.