ReviewAnalytical science advances2024
Challenges and recent advances in quantitative mass spectrometry-based metabolomics.
Review in Analytical science advances, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.
What it found
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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.
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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
23 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Dysregulated Metabolism in People Living With HIV in the Modern ART-Era: A Systematic Review of Targeted Metabolomics Studies.Reviews in medical virology · 2026Pooled it
- Sub-3 μm porous graphitic carbon for highly polar metabolomics: orthogonal selectivity and comparison with HILIC and reversed-phase chromatography.Analytical and bioanalytical chemistry · 2026Article
- Influence of Tramadol on the Intravenous Pharmacokinetics of Dipyrone Active Metabolites in Dogs.Journal of veterinary pharmacology and therapeutics · 2026Article
- Multi-Platform Metabolomics for Fraud Detection in Spices and Botanical Food Supplements: From Fingerprint Acquisition to Decision-Grade Evidence.Molecules (Basel, Switzerland) · 2026Review
- HILIC-MS/MS-based strategy for quantitative amino acid profiling in multiple biological matrices and its application in kidney disease samples.Analytical and bioanalytical chemistry · 2026Article
- Chromatography and Spectrometry in Food Safety and Pharmaceutical Analysis.Molecules (Basel, Switzerland) · 2026Article
- Review
- Emerging Quantitative Targeted Metabolomics Approaches for Future Inborn Errors of Metabolism Screening.Diagnostics (Basel, Switzerland) · 2026Review
- Decoding the Flavor Structure of Jiang-Flavor Low-Alcohol Base Baijiu: A Machine Learning-Driven Approach to Reveal the Flavor Evolution Patterns and Key Quality Control Nodes.Foods (Basel, Switzerland) · 2026Article
- Extracellular Vesicles Associated Metabolites as Intercellular Signalling Mediators in Disease and Therapy.Metabolites · 2026Review
- Decoding the Metabolic Signatures of Neurodegeneration Diseases: Advances in Mass Spectrometry-Based Metabolomics.Metabolites · 2026Review
- Multiomics: the intersection of personalized nutrition in cardiometabolic diseases.Journal of translational medicine · 2026Review
- Biomarker-based assessment of tobacco smoke exposure in Saudi females via analysis of urinary cotinine level.PloS one · 2026Article
- Latest Developments in Mass Spectrometry-Based Techniques for Metabolomics Analysis.Advances in experimental medicine and biology · 2026Review
- From few to many: How non-model organisms' genomics broadened our understanding of molecular evolution.Genetics and molecular biology · 2026Article
- Metabolomics biomarkers for precision psychiatry.Frontiers in psychiatry · 2026Review
- Identification of age-specific urinary metabolic biomarkers in Wilson disease using machine learning: a comparative study of ensemble tree models.Open medicine (Warsaw, Poland) · 2026Article
- Targeted Metabolomic Methods forJournal of proteome research · 2025Article
- ThebioRxiv : the preprint server for biology · 2025Article
- Best practices and tools in R and Python for statistical processing and visualization of lipidomics and metabolomics data.Nature communications · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The field of metabolomics has gained tremendous interest in recent years. Whether the goal is to discover biomarkers related to certain pathologies or to better understand the impact of a drug or contaminant, numerous studies have demonstrated how crucial it is to understand variations in metabolism. Detailed knowledge of metabolic variabilities can lead to more effective treatments, as well as faster or less invasive diagnostics. Exploratory approaches are often employed in metabolomics, using relative quantitation to look at perturbations between groups of samples. Most metabolomics studies have been based on metabolite profiling using relative quantitation, with very few studies using an approach for absolute quantitation. Using accurate quantitation facilitates the comparison between different studies, as well as enabling longitudinal studies. In this review, we discuss the most widely used techniques for quantitative metabolomics using mass spectrometry (MS). Various aspects will be addressed, such as the use of external and/or internal standards, derivatization techniques, in vivo isotopic labelling, or quantitative MS imaging. The principles, as well as the associated limitations and challenges, will be described for each approach.
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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.