ArticleMetabolites2021
Personal Metabolomics: A Global Challenge.
Article in Metabolites, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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.
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.
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Who cites it
6 citing papers in PubMed.
- Quantitative comparison of whole blood, plasma and serum metabolomes across different blood collection methods.Metabolomics : Official journal of the Metabolomic Society · 2025Article
- Machine learning-assisted quantitative metabolomics of West African patients with advanced breast cancer.Scientific reports · 2025Article
- Application of clinical blood metabogram for diagnosis of early-stage Parkinson's disease: a pilot study.Frontiers in molecular biosciences · 2024Article
- Linking Clinical Blood Metabogram and Gut Microbiota.Metabolites · 2023Article
- Mass Spectrometric Blood Metabogram: Acquisition, Characterization, and Prospects for Application.International journal of molecular sciences · 2023Article
- Current State and Future Perspectives on Personalized Metabolomics.Metabolites · 2023Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Today, the introduction of metabolomics, like other omics sciences, into clinical practice as a personal omics test that realizes the perfect analytical capabilities of this science has become an important subject. The assembled data show that the metabolome of biosamples is a collection of highly informative and accurate signatures of virtually all diseases that are widespread in the population. However, we have not seen the emergence of personalized metabolomics in clinical practice. This article analyzes the causes of this problem. The complexity of personal metabolic data analysis and its incompatibility with widely accepted data treatment in metabolomics are shown. As a result, the impossibility of translating metabolic signatures accumulated in databases into a personal test is revealed. Problem-solving strategies that may radically change the situation and realize the analytical capabilities of metabolomics in medical laboratory practice are discussed.
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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.