Assessing the suitability of capillary electrophoresis‐mass spectrometry for biomarker discovery in plasma‐based metabolomics. Issue 18 (2nd May 2019)

• Record Type: Journal Article
• Authors: Zhang, Wei; Segers, Karen; Mangelings, Debby; Van Eeckhaut, Ann; Hankemeier, Thomas; Vander Heyden, Yvan; Ramautar, Rawi
• Editors: Lapizco‐Encinas, Blanca H.; Wätzig, Hermann
• Is Part Of: Electrophoresis. Volume 40:Issue 18/19(2019)
• Page Start: 2309
• Page End: 2320
• Publication Date: 2019-05-02
• Subjects: Mass spectrometry -- Metabolic profiling -- Metabolomics -- Spiked biomarkers -- Validation; Electrophoresis -- Periodicals; Electrophoresis -- Periodicals; 541.372
• DOI: 10.1002/elps.201900126
• Languages: English
• ISSNs: 0173-0835

Abstract

Abstract: The actual utility of capillary electrophoresis‐mass spectrometry (CE‐MS) for biomarker discovery using metabolomics still needs to be assessed. Therefore, a simulated comparative metabolic profiling study for biomarker discovery by CE‐MS was performed, using pooled human plasma samples with spiked biomarkers. Two studies have been carried out in this work. Focus of study I was on comparing two sets of plasma samples, in which one set (class I) was spiked with five isotope‐labeled compounds, whereas another set (class II) was spiked with six different isotope‐labeled compounds. In study II, focus was also on comparing two sets of plasma samples, however, the isotope‐labeled compounds were spiked to both class I and class II samples but with concentrations which differ by a factor two between both classes (with one compound absent in each class). The aim was to determine whether CEMS‐based metabolomics could reveal the spiked biomarkers as the main classifiers, applying two different data analysis software tools (MetaboAnalyst and Matlab). Unsupervised analysis of the recorded metabolic profiles revealed a clear distinction between class I and class II plasma samples in both studies. This classification was mainly attributed to the spiked isotope‐labeled compounds, thereby emphasizing the utility of CE‐MS for biomarker discovery.