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基于SWATH到MRM的溯源性研究

Traceability Research on Based on SWATHtoMRM.

作者信息

Lin Tao, Chen Xinglian, Du Lijuan, Wang Jing, Hu Zhengxu, Cheng Long, Liu Zhenhuan, Liu Hongcheng

机构信息

Quality Standards and Testing Technology Research Institute, Yunnan Academy of Agricultural Sciences, Kunming 650205, China.

Longling Agricultural Environmental Protection Monitoring Station, Baoshan 678300, China.

出版信息

Foods. 2023 Sep 28;12(19):3608. doi: 10.3390/foods12193608.

Abstract

SWATHtoMRM technology was used in this experiment to further identify and trace the sources of and produced in the same area using TOF and MS-MRM. After the conversion of the R package of SWATHtoMRM, 191 MRM pairs of positive ions and 96 pairs of negative ions were obtained. and can be separated very well using the PCA and PLS-DA analysis of MRM ion pairs; this shows that there are obvious differences in chemical composition between and , which clearly proves that the pseudotargeted metabolomics method based on SWATHtoMRM can be used for traceability identification research. A total of 146 characteristic compounds were obtained, with 20 characteristic compounds in . The enrichment pathways of the characteristic compounds were mainly concentrated in lipids and atherosclerosis, chagas disease, fluid shear stress and atherosclerosis, proteoglycans in cancer, the IL-17 signaling pathway, the sphingolipid signaling pathway, diabetic cardiomyopathy, arginine and proline metabolism, etc., among which the lipid and atherosclerosis pathways were more enriched, and 11 characteristic compounds affected the expression levels of IL-1, TNFα, CD36, IL-1β, etc. These can be used as a reference for research on variety improvement and active substance accumulation in and .

摘要

在本实验中使用了SWATHtoMRM技术,以进一步利用TOF和MS - MRM鉴定并追踪同一区域产生的[具体物质1]和[具体物质2]的来源。经过SWATHtoMRM的R包转换后,获得了191对正离子MRM对和96对负离子MRM对。利用MRM离子对的PCA和PLS - DA分析,[具体物质1]和[具体物质2]能够得到很好的分离;这表明[具体物质1]和[具体物质2]在化学成分上存在明显差异,这清楚地证明了基于SWATHtoMRM的伪靶向代谢组学方法可用于溯源鉴定研究。共获得146种特征化合物,其中[具体物质1]中有20种特征化合物。特征化合物的富集途径主要集中在脂质与动脉粥样硬化、恰加斯病、流体剪切力与动脉粥样硬化、癌症中的蛋白聚糖、IL - 17信号通路、鞘脂信号通路、糖尿病心肌病、精氨酸和脯氨酸代谢等,其中脂质与动脉粥样硬化途径的富集程度更高,有11种特征化合物影响IL - 1、TNFα、CD36、IL - 1β等的表达水平。这些可为[具体物质1]和[具体物质2]的品种改良及活性物质积累研究提供参考。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ec9f/10572708/1b2fa15ad80d/foods-12-03608-g001.jpg

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