ArticleNature communications2025
Ion suppression correction and normalization for non-targeted metabolomics.
Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed.
- Mass Spectrometry-Based Chromatographic and Computational Workflows for Biomarker and Therapeutic Target Discovery: A Comprehensive Review.Biomedical chromatography : BMC · 2026Review
- Integrating Suspect and Nontargeted Screening for Food Safety Testing: A Case Study of Bee Pollen Supplements.Analytical chemistry · 2026Article
- Untargeted and Targeted Cerebrospinal Fluid Neurometabolomics via Chromatography-Mass Spectrometry-Based Methods.Molecules (Basel, Switzerland) · 2026Review
- Integrative proteomics and metabolomics advance early cancer detection and targeted therapy with emerging technologies and clinical applications.Discover oncology · 2026Review
- Achieving Effective Batch-to-Batch Error Correction through Suppression Correction and Dual MSTUS Normalization.Analytical chemistry · 2026Article
- Decoding the Metabolic Signatures of Neurodegeneration Diseases: Advances in Mass Spectrometry-Based Metabolomics.Metabolites · 2026Review
- Receptor-Mitochondria Crosstalk in the Kynurenine Metabolic Pathway: Integrating Metabolomics and Clinical Mass Spectrometry.Antioxidants (Basel, Switzerland) · 2026Review
- MASLD biomarker discovery: evaluating lipidomics techniques across disease progression.Molecular biology reports · 2026Review
- MIMI: Molecular Isotope Mass Identifier for stable isotope-labeled Fourier transform ultra-high mass resolution data analysis.BMC bioinformatics · 2026Article
- Enhancing metabolite coverage using dedicated mobile phases for individual polarity modes in HILIC-MS.Analytical and bioanalytical chemistry · 2026Article
- Review
- Microglial metabolic reprogramming drives cognitive decline in heart failure with preserved ejection fraction.bioRxiv : the preprint server for biology · 2025Article
- Rapid Multi-Omics for Bacterial Identification Using Flow Injection-Ion Mobility-Mass Spectrometry.Analytical chemistry · 2025Article
- Proximity to a hazardous waste thermal treatment facility alters human physiology: a community-driven pilot study.Experimental biology and medicine (Maywood, N.J.) · 2025Article
Corrections and comments
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Authors and funding
16 authors.
Funding
Abstract
Ion suppression is a major problem in mass spectrometry (MS)-based metabolomics; it can dramatically decrease measurement accuracy, precision, and sensitivity. Here we report a method, the IROA TruQuant Workflow, that uses a stable isotope-labeled internal standard (IROA-IS) library plus companion algorithms to: 1) measure and correct for ion suppression, and 2) perform Dual MSTUS normalization of MS metabolomic data. We evaluate the method across ion chromatography (IC), hydrophilic interaction liquid chromatography (HILIC), and reversed-phase liquid chromatography (RPLC)-MS systems in both positive and negative ionization modes, with clean and unclean ion sources, and across different biological matrices. Across the broad range of conditions tested, all detected metabolites exhibit ion suppression ranging from 1% to >90% and coefficients of variation ranging from 1% to 20%, but the Workflow and companion algorithms are highly effective at nulling out that suppression and error. To demonstrate a routine application of the Workflow, we employ the Workflow to study ovarian cancer cell response to the enzyme-drug L-asparaginase (ASNase). The IROA-normalized data reveal significant alterations in peptide metabolism, which have not been reported previously. Overall, the Workflow corrects ion suppression across diverse analytical conditions and produces robust normalization of non-targeted metabolomic data.
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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.