据报道，脂质组学分析是表征和区分脑肿瘤的有效方法。然而，由于脂质可能因组织破坏而发生非特异性酶促和非酶促反应，因此考虑诊断过程的分析前阶段（例如，优化采样时间和采样条件）至关重要。因此，本研究评估了采样时间点影响脑肿瘤脂质组组成的方式。使用固相微萃取 (SPME) 纤维在两个时间点对两种组织学不同的脑肿瘤（即脑膜瘤和神经胶质瘤）进行取样：切除后立即现场取样，以及在 -30 °C 下储存 12 个月后取样。通过 HILIC 色谱法与 HRMS 结合对样品进行分析，从而能够检测多种特征，包括磷脂和鞘脂，以及这些化合物的分布变化。从储存的组织中获得的样品往往具有较高水平的分析物和较低的 m/z 值。此外，无论组织学肿瘤类型如何，从新鲜和储存的组织中获得的样品都可以根据其脂质组成分轻松区分。值得注意的是，虽然储存不会影响区分脑膜瘤和神经胶质瘤的可能性，但所获得结果的生物学解释容易出现偏差。版权所有 © 2024 Elsevier B.V. 保留所有权利。

Lipidomic profiling has been reported as an effective approach for characterizing and differentiating brain tumors. However, since lipids can undergo non-specific enzymatic and nonenzymatic reactions due to tissue disruption, it is critical to consider the preanalytical phase of the diagnostic process (e.g., optimizing the sampling time and sampling conditions). Thus, this study assesses the ways in which the time point of sampling impacts the lipidome composition of brain tumors. Two histologically distinct brain tumors-namely, meningiomas and gliomas-were sampled using solid-phase microextraction (SPME) fibers at two time points: on-site directly after removal, and after 12 months of storage at -30 °C. The samples were analyzed via HILIC chromatography coupled with HRMS, which enabled the detection of a wide range of features, including phospholipids and sphingolipids, as well as changes in the profiles of these compounds. The samples obtained from the stored tissues tended to have elevated levels of analytes with lower m/z values. In addition, the samples obtained from the fresh and stored tissues were easily distinguished based on their lipidome compositions, regardless of the histological tumor type. Notably, while storage did not affect the possibility of differentiating meningiomas and gliomas, the biological interpretation of the obtained results were prone to bias.Copyright © 2024 Elsevier B.V. All rights reserved.