LC-MS/MS lipidomics data: Enhancing the Accuracy of Surgical Debridement Following Burns Trauma via Application of Rapid Evaporative Ionisation-Mass Spectrometry (REIMS)

LC-MS/MS lipidomics data from the manuscript titled: Enhancing the Accuracy of Surgical Debridement Following Burns Trauma via Application of Rapid Evaporative Ionisation-Mass Spectrometry (REIMS)

Publication Abstract:
Background
Surgical debridement is a necessary procedure for burn patients that require the removal of eschar. The extent of debridement is currently guided by clinical judgement, with excess debridement of healthy tissue potentially leading to excessive scar, or inadequate debridement increasing risk of infection. Thus, an objective real-time measure to facilitate accurate debridement could support clinical judgement and improve this surgical procedure. This study was designed to investigate the potential use of Rapid evaporative ionisation mass spectrometry (REIMS) as a tool to support data-driven objective tissue debridement.

Methods
Data were acquired using a multi-platform approach that consisted of both Rapid Evaporative Ionisation Mass Spectrometry (REIMS) performed on intact skin, and comprehensive liquid chromatography-mass spectrometry (LC-MS/MS) lipidomics performed on homogenised skin tissue extracts. Data were analysed using principal components analysis (PCA) and multivariate orthogonal projections to latent squares discriminant analysis (OPLS-DA) and logistic regression to determine the predictability of the models.

Results
PCA and OPLS-DA models of the REIMS and LC-MS/MS lipidomics data reported separation of debrided and healthy tissue. Molecular fingerprints generated from REIMS analysis of healthy skin tissue revealed a high degree of heterogeneity, however, intra-individual variance was smaller than inter-individual variance. Both platforms indicated high levels of skin classification accuracy. In addition, OPLS-DA of the LC-MS/MS lipidomic data revealed significant differences in specific lipid classes between healthy control and debrided skin samples; including lower free fatty acids (FFA), monoacylglycerols (MAG), lysophosphatidylglycerol (LPG) and lysophosphatidylethanolamines (LPE) in debrided tissue and higher lactosylceramides (LCER) and cholesterol esters (CE) compared to healthy control tissue.

Conclusions
Having established the heterogeneity in the biochemical composition of healthy skin using REIMS and LC-MS/MS, our data show that REIMS has the potential to distinguish between debrided and healthy skin tissue samples. This pilot study suggests that REIMS may be an effective tool to support accurate tissue debridement during burn surgery.

LC-MS/MS 脂质组学数据来自题为《通过应用快速蒸发电离质谱法（REIMS）提高烧伤创伤后清创术准确性的研究》的论文。

发表摘要：

背景：清创术是烧伤患者必要的一项手术程序，用于移除焦痂。目前，清创的程度主要依据临床判断，过度清创可能导致过度疤痕，而清创不足则增加感染风险。因此，一种客观的实时测量方法，以辅助准确的清创，能够支持临床判断并改进这一手术过程。本研究旨在探讨快速蒸发电离质谱法（REIMS）作为支持数据驱动目标组织清创工具的潜在应用。

方法：采用多平台方法收集数据，包括在完整皮肤上进行的REIMS，以及对匀质化皮肤组织提取物进行的全面液相色谱-质谱联用（LC-MS/MS）脂质组学分析。数据通过主成分分析（PCA）和多元正交投影到潜变量判别分析（OPLS-DA）以及逻辑回归进行分析，以确定模型的预测能力。

结果：REIMS和LC-MS/MS脂质组学数据的PCA和OPLS-DA模型报道了清创组织和健康组织的分离。来自健康皮肤组织REIMS分析的分子指纹揭示了高度异质性，然而，个体内差异小于个体间差异。两个平台均显示出高水平的皮肤分类准确性。此外，LC-MS/MS脂质组数据的OPLS-DA揭示了健康对照组和清创皮肤样本之间特定脂质类别的显著差异；包括清创组织中游离脂肪酸（FFA）、单酰甘油（MAG）、溶血磷脂酰甘油（LPG）和溶血磷脂酰乙醇胺（LPE）含量较低，而与健康对照组组织相比，乳糖基神经酰胺（LCER）和胆固醇酯（CE）含量较高。

结论：通过REIMS和LC-MS/MS在健康皮肤生化组成中的异质性研究，我们的数据表明REIMS有潜力区分清创组织和健康皮肤组织样本。这项试点研究表明，REIMS可能是一种有效的工具，以支持烧伤手术期间准确的组织清创。