ArticleJournal of lipid research2024
Highly reliable LC-MS lipidomics database for efficient human plasma profiling based on NIST SRM 1950.
Article in Journal of lipid research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
- Skin Lipid Dysregulation in Atopic Dermatitis and Related Inflammatory Skin Diseases.Allergy, asthma & immunology research · 2026Review
- The Language of Elution: Autoregressive Prediction of the Next Feature in Untargeted LC-HRMS Lipidomics.ArXiv · 2026Article
- Lipid Class Prediction from MS1 Data using Gaussian Graphical Models.Analytical chemistry · 2026Article
- Decoding the Oxylipin Chemical Space Using Ion Identity Molecular Networking.Analytical chemistry · 2026Article
- Outcomes and future activities of the 'Pan-European network in Lipidomics and EpiLipidomics - EpiLipidNET'.Metabolomics : Official journal of the Metabolomic Society · 2026Review
- What's in a name? Metabolite identification: challenges and pitfalls in untargeted metabolomics.Metabolomics : Official journal of the Metabolomic Society · 2026Review
- Establishing an untargeted lipidomics workflow for cellular analysis: insights into endothelial cell function in anaphylaxis.Frontiers in immunology · 2026Article
- The SIMPLIFY Protocol: A Monophasic Extraction System Suitable for Exposomics, Metabolomics, Lipidomics, and Proteomics Research.Analytical chemistry · 2025Article
- A Lipidomic Exploration of the Effects of High-Intensity Interval Exercise in Healthy Men after Metformin Intake.Journal of proteome research · 2025Article
- Lipidomics Unveils Critical Lipid Pathway Shifts in Alport Syndrome.Kidney international reports · 2025Article
- LipidIN: a comprehensive repository for flash platform-independent annotation and reverse lipidomics.Nature communications · 2025Article
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Authors and funding
5 authors.
Funding
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Abstract
Liquid chromatography coupled to high-resolution mass spectrometry (LC-HRMS)-based methods have become the gold standard methodology for the comprehensive profiling of the human plasma lipidome. However, both the complexity of lipid chemistry and LC-HRMS-associated data pose challenges to the characterization of this biological matrix. In accordance with the current consensus of quality requirements for LC-HRMS lipidomics data, we aimed to characterize the NIST® Standard Reference Material for Human Plasma (SRM 1950) using an LC-ESI(+/-)-MS method compatible with high-throughput lipidome profiling. We generated a highly curated lipid database with increased coverage, quality, and consistency, including additional quality assurance procedures involving adduct formation, within-method m/z evaluation, retention behavior of species within lipid chain isomers, and expert-driven resolution of isomeric and isobaric interferences. As a proof-of-concept, we showed the utility of our in-house LC-MS lipidomic database -consisting of 592 lipid entries- for the fast, comprehensive, and reliable lipidomic profiling of the human plasma from healthy human volunteers. We are confident that the implementation of this robust resource and methodology will have a significant impact by reducing data redundancy and the current delays and bottlenecks in untargeted plasma lipidomic studies.
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