ArticleElectrophoresis2019
Assessing the suitability of capillary electrophoresis-mass spectrometry for biomarker discovery in plasma-based metabolomics.
Article in Electrophoresis, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
9 citing papers in PubMed, 28 citations in OpenAlex.
- Salivary Biomarkers in Periodontal Disease: Revolutionizing Early Detection and Precision Dentistry.Molecular diagnosis & therapy · 2025Review
- Multiplatform Metabolomics: Enhancing the Severity Risk Prognosis of SARS-CoV-2 Infection.ACS omega · 2024Article
- Review
- Proteomics techniques in protein biomarker discovery.Quantitative biology (Beijing, China) · 2024Review
- Recent applications and chiral separation development based on stationary phases in open tubular capillary electrochromatography (2019-2022).Journal of pharmaceutical analysis · 2023Review
- Enzymatic Methods for Salivary Biomarkers Detection: Overview and Current Challenges.Molecules (Basel, Switzerland) · 2021Review
- Determination of Branched-Chain Amino Acids in Food Supplements and Human Plasma by a CE-MS/MS Method with Enhanced Resolution.International journal of molecular sciences · 2021Article
- CE-MS for metabolomics: Developments and applications in the period 2018-2020.Electrophoresis · 2021Review
- Challenging Bioanalyses with Capillary Electrophoresis.Analytical chemistry · 2020Review
Corrections and comments
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Authors and funding
7 authors at 2 institutions in 4 countries.
Funding
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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.