Ghorasaini Mohan, Tsezou Konstantina Ismini, Verhoeven Aswin, Mohammed Yassene, Vlachoyiannopoulos Panayiotis, Mikros Emmanuel, Giera Martin
Center for Proteomics and Metabolomics, Leiden University Medical Center, 2333 ZA Leiden, The Netherlands.
Department of Pathophysiology, School of Medicine, National and Kapodistrian University of Athens, 157 71 Athens, Greece.
Metabolites. 2022 Oct 27;12(11):1030. doi: 10.3390/metabo12111030.
The lipid composition of lipoprotein particles is determinative of their respective formation and function. In turn, the combination and correlation of nuclear magnetic resonance (NMR)-based lipoprotein measurements with mass spectrometry (MS)-based lipidomics is an appealing technological combination for a better understanding of lipid metabolism in health and disease. Here, we developed a combined workflow for subsequent NMR- and MS-based analysis on single sample aliquots of human plasma. We evaluated the quantitative agreement of the two platforms for lipid quantification and benchmarked our combined workflow. We investigated the congruence and complementarity between the platforms in order to facilitate a better understanding of patho-physiological lipoprotein and lipid alterations. We evaluated the correlation and agreement between the platforms. Next, we compared lipid class concentrations between healthy controls and rheumatoid arthritis patient samples to investigate the consensus among the platforms on differentiating the two groups. Finally, we performed correlation analysis between all measured lipoprotein particles and lipid species. We found excellent agreement and correlation (r > 0.8) between the platforms and their respective diagnostic performance. Additionally, we generated correlation maps detailing lipoprotein/lipid interactions and describe disease-relevant correlations.
脂蛋白颗粒的脂质组成决定了它们各自的形成和功能。反过来，基于核磁共振（NMR）的脂蛋白测量与基于质谱（MS）的脂质组学的结合与关联，是一种很有吸引力的技术组合，有助于更好地理解健康和疾病状态下的脂质代谢。在此，我们开发了一种用于对人血浆单一样品等分试样进行后续基于NMR和MS分析的联合工作流程。我们评估了两个平台在脂质定量方面的定量一致性，并对我们的联合工作流程进行了基准测试。我们研究了各平台之间的一致性和互补性，以便更好地理解病理生理状态下脂蛋白和脂质的改变。我们评估了各平台之间的相关性和一致性。接下来，我们比较了健康对照和类风湿性关节炎患者样本之间的脂质类别浓度，以研究各平台在区分这两组样本方面的一致性。最后，我们对所有测量的脂蛋白颗粒和脂质种类进行了相关性分析。我们发现各平台之间及其各自的诊断性能之间具有极好的一致性和相关性（r > 0.8）。此外，我们生成了详细描述脂蛋白/脂质相互作用的相关性图谱，并描述了与疾病相关的相关性。
