ArticleALTEX2015
Quality assurance of metabolomics.
Article in ALTEX, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
23 citing papers in PubMed.
- Emodin treatment is associated with enhanced resistance toFrontiers in immunology · 2026Article
- The data substrate of exposome intelligence: an interoperability profile for untargeted metabolomics.Frontiers in artificial intelligence · 2026Article
- AI redefine untargeted metabolomics: estimating chemical amounts for a Human Exposome Project.Frontiers in public health · 2026Review
- AI redefines mass spectrometry chemicals identification: retention time prediction in metabolomics and for a Human Exposome Project.Frontiers in public health · 2025Review
- Article
- Metabolomics in Preclinical Drug Safety Assessment: Current Status and Future Trends.Metabolites · 2024Review
- Injectiondesign: web service of plate design with optimized stratified block randomization for modern GC/LC-MS-based sample preparation.BMC bioinformatics · 2023Article
- Closing the gap between in vivo and in vitro omics: using QA/QC to strengthen ex vivo NMR metabolomics.NMR in biomedicine · 2023Review
- Reference materials for MS-based untargeted metabolomics and lipidomics: a review by the metabolomics quality assurance and quality control consortium (mQACC).Metabolomics : Official journal of the Metabolomic Society · 2022Review
- Gene-Environment Interactions in Developmental Neurotoxicity: a Case Study of Synergy between Chlorpyrifos and CHD8 Knockout in Human BrainSpheres.Environmental health perspectives · 2021Article
- Dissemination and analysis of the quality assurance (QA) and quality control (QC) practices of LC-MS based untargeted metabolomics practitioners.Metabolomics : Official journal of the Metabolomic Society · 2020Article
- ESTIMATION AND INFERENCE IN METABOLOMICS WITH NON-RANDOM MISSING DATA AND LATENT FACTORS.The annals of applied statistics · 2020Article
- Article
- Use cases, best practice and reporting standards for metabolomics in regulatory toxicology.Nature communications · 2019Review
- Monitoring of system conditioning after blank injections in untargeted UPLC-MS metabolomic analysis.Scientific reports · 2019Article
- Towards quality assurance and quality control in untargeted metabolomics studies.Metabolomics : Official journal of the Metabolomic Society · 2019Article
- Current Challenges in Plant Eco-Metabolomics.International journal of molecular sciences · 2018Review
- Systems Toxicology: Real World Applications and Opportunities.Chemical research in toxicology · 2017Article
- Joint Bounding of Peaks Across Samples Improves Differential Analysis in Mass Spectrometry-Based Metabolomics.Analytical chemistry · 2017Article
- FutureTox III: Bridges for Translation.Toxicological sciences : an official journal of the Society of Toxicology · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
17 authors.
Funding
Abstract
Metabolomics promises a holistic phenotypic characterization of biological responses to toxicants. This technology is based on advanced chemical analytical tools with reasonable throughput, including mass-spectroscopy and NMR. Quality assurance, however - from experimental design, sample preparation, metabolite identification, to bioinformatics data-mining - is urgently needed to assure both quality of metabolomics data and reproducibility of biological models. In contrast to microarray-based transcriptomics, where consensus on quality assurance and reporting standards has been fostered over the last two decades, quality assurance of metabolomics is only now emerging. Regulatory use in safety sciences, and even proper scientific use of these technologies, demand quality assurance. In an effort to promote this discussion, an expert workshop discussed the quality assurance needs of metabolomics. The goals for this workshop were 1) to consider the challenges associated with metabolomics as an emerging science, with an emphasis on its application in toxicology and 2) to identify the key issues to be addressed in order to establish and implement quality assurance procedures in metabolomics-based toxicology. Consensus has still to be achieved regarding best practices to make sure sound, useful, and relevant information is derived from these new tools.
Indexed as
Identifiers
What OpenQuestion holds
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.