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无标记拉曼光谱法可表征矽肺中的炎症和纤维化特征。

Label-free Raman spectroscopy characterizes signatures of inflammation and fibrosis in the silicosis.

作者信息

Wang Wenyang, Mu Min, Zou Yuanjie, Li Bing, Cao Hangbing, Hu Dong, Tao Xinrong

机构信息

Key Laboratory of Industrial Dust Control and Occupational Health of the Ministry of Education, Anhui University of Science and Technology, People's Republic of China; Anhui Province Engineering Laboratory of Occupational Health and Safety, People's Republic of China; School of Medicine, Department of Medical Frontier Experimental Center, Anhui University of Science and Technology, People's Republic of China; Key Laboratory of Industrial Dust Deep Reduction and Occupational Health and Safety of Anhui Higher Education Institutes, Anhui University of Science and Technology, People's Republic of China.

Key Laboratory of Industrial Dust Control and Occupational Health of the Ministry of Education, Anhui University of Science and Technology, People's Republic of China; Anhui Province Engineering Laboratory of Occupational Health and Safety, People's Republic of China; School of Medicine, Department of Medical Frontier Experimental Center, Anhui University of Science and Technology, People's Republic of China.

出版信息

Biochem Biophys Res Commun. 2022 May 28;606:114-120. doi: 10.1016/j.bbrc.2022.03.107. Epub 2022 Mar 23.

DOI:10.1016/j.bbrc.2022.03.107
PMID:35344708
Abstract

Silicosis is an occupational disease that seriously damages the life and health of miners. Herein, we constructed a mouse model of silicosis and used label-free confocal Raman spectroscopy to analyze the biomolecular variations in lung fibrous nodules and inflammatory sites. The mice were exposed to silica particles for 1 month (SIL-1M group), 3 months (SIL-3M group), or no exposure (control tissues, NS). Raman spectra obtained from treated and untreated lung tissue were subjected to chemometric analysis to quantify biochemical composition differences in the silicosis. Simultaneously, immunohistochemistry and collagen staining were used to evaluate inflammation, fibrosis, and apoptosis. As a result, the SIL-1M and SIL-3M groups showed significant differences in cholesterol, lipids, amino acids, nucleic acids, and cytochrome C, and the collagen peaks at 1248 cm and 1448 cm were significantly higher than in the NS group. Notably, glycogen and phospholipid may be an inflammatory indicator consistent with NF-κB expression. In addition, significant differences in collagen and cytochrome C content in silicosis lung tissue were found using Raman spectroscopy and were verified by Masson's staining and Bax/Bcl-2 expression ratio. In summary, our findings provide a label-free technique to understand the biochemical changes in lung inflammatory and fibrosis microenvironment after exposure to silica particles and provide a valuable reference for studying the mechanism of silicosis.

摘要

矽肺是一种严重损害矿工生命健康的职业病。在此,我们构建了矽肺小鼠模型,并使用无标记共聚焦拉曼光谱分析肺纤维结节和炎症部位的生物分子变化。将小鼠暴露于二氧化硅颗粒1个月(SIL - 1M组)、3个月(SIL - 3M组)或不暴露(对照组织,NS)。对处理和未处理的肺组织获得的拉曼光谱进行化学计量分析,以量化矽肺中生化成分的差异。同时,使用免疫组织化学和胶原染色来评估炎症、纤维化和细胞凋亡。结果,SIL - 1M组和SIL - 3M组在胆固醇、脂质、氨基酸、核酸和细胞色素C方面表现出显著差异,并且在1248 cm和1448 cm处的胶原峰明显高于NS组。值得注意的是,糖原和磷脂可能是与NF - κB表达一致的炎症指标。此外,使用拉曼光谱在矽肺肺组织中发现胶原和细胞色素C含量存在显著差异,并通过Masson染色和Bax/Bcl - 2表达比率得到验证。总之,我们的研究结果提供了一种无标记技术,以了解暴露于二氧化硅颗粒后肺炎症和纤维化微环境中的生化变化,并为研究矽肺的发病机制提供了有价值的参考。

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Biochem Biophys Res Commun. 2022 May 28;606:114-120. doi: 10.1016/j.bbrc.2022.03.107. Epub 2022 Mar 23.
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Inflammation and fibrosis in the coal dust-exposed lung described by confocal Raman spectroscopy.
共聚焦拉曼光谱描述的煤尘暴露肺中的炎症和纤维化。
PeerJ. 2022 Jun 23;10:e13632. doi: 10.7717/peerj.13632. eCollection 2022.