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液相色谱-质谱联用技术用于福尔马林固定石蜡包埋肾组织代谢组学和脂质组学分析的优化方案

Optimized protocol for metabolomic and lipidomic profiling in formalin-fixed paraffin-embedded kidney tissue by LC-MS.

作者信息

Neef Sylvia K, Winter Stefan, Hofmann Ute, Mürdter Thomas E, Schaeffeler Elke, Horn Heike, Buck Achim, Walch Axel, Hennenlotter Jörg, Ott German, Fend Falko, Bedke Jens, Schwab Matthias, Haag Mathias

机构信息

Dr. Margarete Fischer-Bosch-Institute of Clinical Pharmacology, Stuttgart, Germany and University of Tübingen, Tübingen, Germany.

Dr. Margarete Fischer-Bosch-Institute of Clinical Pharmacology, Stuttgart, Germany and University of Tübingen, Tübingen, Germany; Cluster of Excellence iFIT (EXC 2180) "Image-Guided and Functionally Instructed Tumor Therapies", University of Tübingen, Tübingen, Germany.

出版信息

Anal Chim Acta. 2020 Oct 16;1134:125-135. doi: 10.1016/j.aca.2020.08.005. Epub 2020 Aug 13.

Abstract

Formalin-fixed and paraffin-embedded (FFPE) tissue represents a valuable resource to examine cancer metabolic alterations and to identify potential markers of disease. Protocols commonly used for liquid-chromatography mass spectrometry (LC-MS)-based FFPE metabolomics have not been optimized for lipidomic analysis and pre-analytical factors, that potentially affect metabolite levels, were scarcely investigated. We here demonstrate the assessment and optimization of sample preparation procedures for comprehensive metabolomic and lipidomic profiling in FFPE kidney tissue by LC-QTOF-MS. The optimized protocol allows improved monitoring of lipids including ceramides (Cer), glycosphingolipids (GSL) and triglycerides (TAGs) while the profiling capability for small polar molecules is maintained. Further, repeatable sample preparation (CVs < 20%) along with high analytical (CVs < 10%) and inter-day precision (CVs < 20%) is achieved. As proof of concept, we analyzed a set of clear cell renal cell carcinoma (ccRCC) and corresponding non-tumorous FFPE tissue samples, achieving phenotypic distinction. Investigation of the impact of tissue fixation time (6 h, 30 h and 54 h) on FFPE tissue metabolic profiles revealed metabolite class-dependent differences on their detection abundance. Whereas specific lipids (e.g. phosphatidylinositoles, GSLs, saturated fatty acids and saturated lyso-phosphatidytlethanolamines [LPE]) remained largely unaffected (CVs < 20% between groups of fixation time), neutral lipids (e.g. Cer and TAGs) exhibited high variability (CVs > 80%). Strikingly, out of the lipid classes assigned as unaffected, fatty acids 18:0, 16:0 and LPE 18:0 were detectable by high-resolution MALDI-FT-ICR MS imaging in an independent cohort of ccRCC tissues (n = 64) and exhibited significant differences between tumor and non-tumor regions.

摘要

福尔马林固定石蜡包埋(FFPE)组织是研究癌症代谢改变和识别疾病潜在标志物的宝贵资源。基于液相色谱质谱(LC-MS)的FFPE代谢组学常用方案尚未针对脂质组分析进行优化,对可能影响代谢物水平的分析前因素也鲜有研究。我们在此展示了通过LC-QTOF-MS对FFPE肾组织进行综合代谢组学和脂质组学分析的样品制备程序的评估和优化。优化后的方案能够更好地监测包括神经酰胺(Cer)、糖鞘脂(GSL)和甘油三酯(TAG)在内的脂质,同时保持对小极性分子的分析能力。此外,还实现了可重复的样品制备(CVs<20%)以及高分析精度(CVs<10%)和日间精度(CVs<20%)。作为概念验证,我们分析了一组透明细胞肾细胞癌(ccRCC)和相应的非肿瘤FFPE组织样本,实现了表型区分。对组织固定时间(6小时、30小时和54小时)对FFPE组织代谢谱影响的研究揭示了代谢物类别在检测丰度上的差异。虽然特定脂质(如磷脂酰肌醇、GSL、饱和脂肪酸和饱和溶血磷脂酰乙醇胺[LPE])在很大程度上不受影响(固定时间组之间的CVs<20%),但中性脂质(如Cer和TAG)表现出高度变异性(CVs>80%)。令人惊讶的是,在被认定为不受影响的脂质类别中,脂肪酸18:0、16:0和LPE 18:0在一个独立的ccRCC组织队列(n=64)中通过高分辨率MALDI-FT-ICR MS成像可检测到,并且在肿瘤和非肿瘤区域之间表现出显著差异。

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