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解吸电喷雾电离质谱法早期检测单侧输尿管梗阻。

Early detection of unilateral ureteral obstruction by desorption electrospray ionization mass spectrometry.

机构信息

Department of Chemistry, Stanford University, Stanford, CA, 94305, USA.

Department of Chemistry, Indian Institute of Science Education and Research Tirupati, Tirupati, 517507, India.

出版信息

Sci Rep. 2019 Jul 29;9(1):11007. doi: 10.1038/s41598-019-47396-x.

DOI:10.1038/s41598-019-47396-x
PMID:31358807
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6662848/
Abstract

Desorption electrospray ionization mass spectrometry (DESI-MS) is an emerging analytical tool for rapid in situ assessment of metabolomic profiles on tissue sections without tissue pretreatment or labeling. We applied DESI-MS to identify candidate metabolic biomarkers associated with kidney injury at the early stage. DESI-MS was performed on sections of kidneys from 80 mice over a time course following unilateral ureteral obstruction (UUO) and compared to sham controls. A predictive model of renal damage was constructed using the LASSO (least absolute shrinkage and selection operator) method. Levels of lipid and small metabolites were significantly altered and glycerophospholipids comprised a significant fraction of altered species. These changes correlate with altered expression of lipid metabolic genes, with most genes showing decreased expression. However, rapid upregulation of PG(22:6/22:6) level appeared to be a hitherto unknown feature of the metabolic shift observed in UUO. Using LASSO and SAM (significance analysis of microarrays), we identified a set of well-measured metabolites that accurately predicted UUO-induced renal damage that was detectable by 12 h after UUO, prior to apparent histological changes. Thus, DESI-MS could serve as a useful adjunct to histology in identifying renal damage and demonstrates early and broad changes in membrane associated lipids.

摘要

解吸电喷雾电离质谱(DESI-MS)是一种新兴的分析工具,可用于快速原位评估组织切片中的代谢组学特征,而无需对组织进行预处理或标记。我们应用 DESI-MS 来鉴定与早期肾损伤相关的候选代谢生物标志物。在单侧输尿管梗阻(UUO)后,对 80 只小鼠的肾脏切片进行 DESI-MS 分析,并与假手术对照进行比较。使用 LASSO(最小绝对收缩和选择算子)方法构建了肾脏损伤的预测模型。脂质和小分子代谢物的水平显著改变,甘油磷脂构成了显著改变的物种的一部分。这些变化与脂质代谢基因表达的改变相关,大多数基因表达下调。然而,PG(22:6/22:6)水平的快速上调似乎是 UUO 观察到的代谢变化中一个未知的特征。使用 LASSO 和 SAM(微阵列的显著性分析),我们确定了一组经过良好测量的代谢物,这些代谢物可以准确预测 UUO 诱导的肾损伤,在 UUO 后 12 小时即可检测到,此时尚无明显的组织学变化。因此,DESI-MS 可以作为组织学的有用补充,用于识别肾损伤,并显示与膜相关的脂质的早期和广泛变化。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2d36/6662848/a5ad598baed2/41598_2019_47396_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2d36/6662848/845216f609e4/41598_2019_47396_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2d36/6662848/a12eb0b08dc3/41598_2019_47396_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2d36/6662848/589a44b63546/41598_2019_47396_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2d36/6662848/93a77eba2fe7/41598_2019_47396_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2d36/6662848/a5ad598baed2/41598_2019_47396_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2d36/6662848/845216f609e4/41598_2019_47396_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2d36/6662848/a12eb0b08dc3/41598_2019_47396_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2d36/6662848/589a44b63546/41598_2019_47396_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2d36/6662848/93a77eba2fe7/41598_2019_47396_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2d36/6662848/a5ad598baed2/41598_2019_47396_Fig5_HTML.jpg

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