Lipidomic profile of meningiomas harboring different NF2 mutation status.

IF 3.3 3区 医学 Q2 ENDOCRINOLOGY & METABOLISM
Joanna Bogusiewicz, Ivana Stanimirova, Magdalena Gaca-Tabaszewska, Paulina Szeliska, Krystyna Soszyńska, Anna Majdańska, Agata Ryfa, Alicja Bartoszewska-Kubiak, Jacek Furtak, Marcin Birski, Marek Harat, Barbara Bojko
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引用次数: 0

Abstract

Introduction: Meningiomas are mainly benign brain tumors, but they can evolve to higher grades. The phenomena of these changes are not well-known. Therefore, more basic research is needed. This study attempted to assess the lipidome profile in meningiomas harboring different NF2 mutation statuses (wildtype and mutated). Solid-phase microextraction (SPME) probes were used to sample and extract the metabolites and reduce the invasiveness of lipidomic analysis.

Objectives: This study aimed to select the set of lipids distinguishing meningiomas with different genotypes using two chromatography methods (hydrophilic interaction chromatography (HILIC) and reversed-phase chromatography (RPLC) in two ionization modes.

Methods: Brain tumors were obtained during neurosurgical procedures. Then, sampling using SPME fibers was performed directly after the lesion excision. After collecting the whole batch of samples, desorption using an isopropanol-methanol solution was performed. Subsequently, instrumental analysis was carried out using liquid chromatography coupled with high-resolution mass spectrometry. The remaining part of the lesion was stored as paraffin tissue blocks, and then genetic testing was performed to determine the presence of mutations in the NF2 gene.

Results: Genetic profiling of meningiomas revealed that most lesions had a mutation in the NF2 gene. A wide range of analytes was extracted from the studied tumors using SPME probes. A set of 34 lipids was selected as crucial metabolites in tumor differentiation. A combination of analytes detected in more than one analysis mode demonstrated higher sensitivity and specificity compared to the individual models and increased the differentiation of mutant and wildtype samples.

Conclusions: SPME coupled liquid chromatography and mass spectrometry, can be successfully applied to the screening of lipids in meningiomas with different NF mutation statuses.

不同NF2突变状态脑膜瘤的脂质组学特征。
简介:脑膜瘤主要是良性脑肿瘤,但也可向更高级别发展。这些变化的现象尚不为人所知。因此,还需要进行更多的基础研究。本研究试图评估脑膜瘤中不同NF2突变状态(野生型和突变型)的脂质组谱。采用固相微萃取(SPME)探针对代谢物进行取样和提取,减少脂质组学分析的侵入性。目的:采用亲水相互作用层析(HILIC)和反相层析(RPLC)两种电离模式,筛选不同基因型脑膜瘤的脂质。方法:在神经外科手术中获得脑肿瘤。然后,在病变切除后直接使用SPME纤维取样。收集整批样品后,使用异丙醇-甲醇溶液进行解吸。随后,使用液相色谱法和高分辨率质谱法进行仪器分析。病变的剩余部分作为石蜡组织块保存,然后进行基因检测以确定NF2基因是否存在突变。结果:脑膜瘤的遗传谱显示大多数病变有NF2基因突变。使用SPME探针从研究的肿瘤中提取了广泛的分析物。34种脂质被选为肿瘤分化的关键代谢物。与单个模型相比,在多种分析模式下检测到的分析物的组合显示出更高的灵敏度和特异性,并增加了突变型和野生型样品的区分。结论:SPME -液相色谱-质谱联用技术可成功应用于不同NF突变状态脑膜瘤中脂质的筛选。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Metabolomics
Metabolomics 医学-内分泌学与代谢
CiteScore
6.60
自引率
2.80%
发文量
84
审稿时长
2 months
期刊介绍: Metabolomics publishes current research regarding the development of technology platforms for metabolomics. This includes, but is not limited to: metabolomic applications within man, including pre-clinical and clinical pharmacometabolomics for precision medicine metabolic profiling and fingerprinting metabolite target analysis metabolomic applications within animals, plants and microbes transcriptomics and proteomics in systems biology Metabolomics is an indispensable platform for researchers using new post-genomics approaches, to discover networks and interactions between metabolites, pharmaceuticals, SNPs, proteins and more. Its articles go beyond the genome and metabolome, by including original clinical study material together with big data from new emerging technologies.
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