ArticleAnalytical chemistry2025
A High-Throughput Integrated Nontargeted Metabolomics and Lipidomics Workflow Using Microelution Enhanced Matrix Removal-Lipid for Comparative Analysis of Human Maternal and Umbilical Cord Blood Metabolomes.
Article in Analytical chemistry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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Who cites it
2 citing papers in PubMed.
- Molecular Drivers of Electron-Donating Capacity in Dissolved Black Carbon from Nitrogen-Rich Pyrogenic Carbon.Environmental science & technology · 2026Article
- A Comparative Metabolomics Study of Multiple Urological Diseases by Highly Sensitive Dansylation Isotope Labeling LC-MS.International journal of molecular sciences · 2025Article
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7 authors.
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Abstract
Sample pretreatment for mass spectrometry (MS)-based metabolomics and lipidomics is normally conducted independently with two sample aliquots and separate matrix cleanup procedures, making the two-step process sample-intensive and time-consuming. Herein, we introduce a high-throughput pretreatment workflow for integrated nontargeted metabolomics and lipidomics leveraging the enhanced matrix removal (EMR)-lipid microelution 96-well plates. The EMR-lipid technique was innovatively employed to effectively separate and isolate non-lipid small metabolites and lipids in sequence using significantly reduced sample amounts and organic solvents. Our proposed methodology enables parallel profiling of metabolome and lipidome within a single sample aliquot using ultrahigh-performance liquid chromatography-high resolution mass spectrometry (UHPLC-HRMS). Following method development and optimization with representative metabolites at levels comparable to those detected in human blood, the optimized workflow was applied to prepare metabolome-lipidome from maternal and umbilical cord-blood sera prior to comprehensive profiling using three different UHPLC columns. Results indicate that, compared with conventional two-step metabolomics-lipidomics sample pretreatment workflow, this new approach substantially reduces sample amount and processing time, while still preserving metabolite profiles and revealing additional MS features. Over 2500 metabolites were annotated in human sera with >1000 shared across maternal and cord blood. The shared metabolites are closely linked to various physiological functions, including nutrient transfer, hormonal regulation, waste product clearance, and metabolic programming, underscoring the significant impact of maternal metabolic activities on neonatal metabolic health. In summary, the proposed workflow enables efficient sample pretreatment for nontargeted metabolomics-lipidomics using one single sample while achieving broad metabolite coverage, highlighting its remarkable applicability in clinical and preclinical research.
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Registered trials
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