ArticleThe Analyst2018
Multiple reaction monitoring (MRM)-profiling with biomarker identification by LC-QTOF to characterize coronary artery disease.
Article in The Analyst, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
19 citing papers in PubMed.
- Integrated Metabolomics, Network Pharmacology, and Molecular Dynamics Simulations Reveal the Potential Anti-Melanoma Mechanisms ofCurrent issues in molecular biology · 2026Article
- Biomarkers in Disease Diagnosis and Monitoring: Insights into Clinical Applications and Mass Spectrometry-based Detection.Applied biochemistry and biotechnology · 2026Review
- Small metabolites vary in sow milk across the course of lactation, while moringa supplementation and cooling sows exposed to heat stress conditions have limited effects.Translational animal science · 2026Article
- Lipids potentially contribute to exacerbated inflammatory markers in Metabolic Syndrome mice acutely following pulmonary nanoparticle exposure.Journal of toxicology and environmental health. Part A · 2025Article
- Interfacial Electromigration for Analysis of Biofluid Lipids in Small Volumes.Analytical chemistry · 2023Article
- Imipramine Treatment Alters Sphingomyelin, Cholesterol, and Glycerophospholipid Metabolism in Isolated Macrophage Lysosomes.Biomolecules · 2023Article
- Step-by-Step Approach to Build Multiple Reaction Monitoring (MRM) Profiling Instrument Acquisition Methods for Class-based Lipid Exploratory Analysis by Mass Spectrometry.Journal of biomolecular techniques : JBT · 2023Article
- Analysis of Lipid Contents in Human Trabecular Meshwork Cells by Multiple Reaction Monitoring (MRM) Profiling Lipidomics.Methods in molecular biology (Clifton, N.J.) · 2023Article
- Targeted Lipidomics Analysis of Adipose and Skeletal Muscle Tissues by Multiple Reaction Monitoring Profiling.Methods in molecular biology (Clifton, N.J.) · 2023Article
- Evaluation of Quantitative Platforms for Single Target Mass Spectrometry Imaging.Pharmaceuticals (Basel, Switzerland) · 2022Article
- Suspect screening of exogenous compounds using multiple reaction screening (MRM) profiling in human urine samples.Journal of chromatography. B, Analytical technologies in the biomedical and life sciences · 2022Article
- Structural elucidation of triacylglycerol using online acetone Paternò-Büchi reaction coupled with reversed-phase liquid chromatography mass spectrometry.The Analyst · 2020Article
- Proteomics Reveals Plasma Biomarkers for Ischemic Stroke Related to the Coagulation Cascade.Journal of molecular neuroscience : MN · 2020Article
- Article
- An MRM-Based Multiplexed Quantification Assay for Human Adipokines and Apolipoproteins.Molecules (Basel, Switzerland) · 2020Article
- Development of multiple reaction monitoring assay for quantification of carnosine in human plasma.RSC advances · 2020Article
- Non-Targeted Metabolomic Analysis Reveals Serum Phospholipid Alterations in Patients with Early Stages of Diabetic Foot Ulcer.Biomarker insights · 2020Article
- Exacerbation of Nanoparticle-Induced Acute Pulmonary Inflammation in a Mouse Model of Metabolic Syndrome.Frontiers in immunology · 2020Article
- An Integrative Proteomic/Lipidomic Analysis of the Gold Nanoparticle Biocorona in Healthy and Obese Conditions.Applied in vitro toxicology · 2019Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
Metabolite profiling by mass spectrometry (MS) is an area of interest for disease diagnostics, biomarker discovery, and therapeutic evaluation. A recently developed approach, multiple reaction monitoring (MRM)-profiling, searches for metabolites with precursor (Prec) and neutral loss (NL) scans in a representative sample and creates a list of ion transitions. These are then used in an MRM method for fast screening of individual samples and discrimination between healthy and diseased. A large variety of functional groups are considered and all signals discovered are recorded in the individual samples, making this a largely unsupervised method. MRM-profiling is described here and then demonstrated with data for over 900 human plasma coronary artery disease (CAD) samples. Representative pooled samples for each condition were interrogated using a library of over a hundred Prec and NL scans on a triple quadrupole MS. The data from the Prec and NL experiments were converted into ion transitions, initially some 1266 transitions. Each ion transition was examined in the individual samples on a time scale of milliseconds per transition, which allows for rapid screening of large sample sets (<5 days for 1000 samples). Use of univariate and multivariate statistics allowed classification of the sample set with high accuracy. The metabolite profiles classified the CAD female, CAD male, and peripheral artery disease (PAD) samples relative to controls with an accuracy of 90%, 78%, and 85%, respectively. The compounds responsible for informative ion transitions were identified by chromatography and high resolution MS; some have been previously reported and found to be associated with coronary artery disease metabolism, indicating that the methodology generates a meaningful metabolite profile while being faster than traditional methodologies.
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