Evidence map›Paper›PMID 36828894›Full record

ReviewNature protocols2023

A proposed framework to evaluate the quality and reliability of targeted metabolomics assays from the UK Consortium on Metabolic Phenotyping (MAP/UK).

Sarir Sarmad, Mark R Viant, Warwick B Dunn, Royston Goodacre, Ian D Wilson, Katie E Chappell, Julian L Griffin, Valerie B O'Donnell, Brendon Naicker, Matthew R Lewis and 2 more

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature protocols, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

27 citing papers in PubMed.

  1. Review
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  6. Article
  7. Review
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  9. Article
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  11. Article
  12. Review
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  14. CE-MS-Based Clinical Metabolomics of Human Plasma.Methods in molecular biology (Clifton, N.J.) · 2025
    Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. Utilizing Omics Data for Chemical Grouping.Environmental toxicology and chemistry · 2024
    Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Sarir SarmadDepartment of Cardiovascular Sciences, University of Leicester and NIHR Leicester Biomedical Research Centre, Leicester, UK.ORCID 0000-0001-9147-9157
Mark R ViantPhenome Centre Birmingham, University of Birmingham, Birmingham, UK.ORCID 0000-0001-5898-4119
Warwick B DunnCentre for Metabolomics Research, Department of Biochemistry and Systems Biology, Institute of Systems, Molecular, and Integrative Biology, University of Liverpool, Liverpool, UK.ORCID 0000-0001-6924-0027
Royston GoodacreCentre for Metabolomics Research, Department of Biochemistry and Systems Biology, Institute of Systems, Molecular, and Integrative Biology, University of Liverpool, Liverpool, UK.ORCID 0000-0003-2230-645X
Ian D WilsonDivision of Systems Medicine, Department of Metabolism, Digestion & Reproduction, Imperial College London, London, UK.ORCID 0000-0002-8558-7394
Katie E ChappellThe National Phenome Centre, Department of Metabolism, Digestion & Reproduction, Imperial College London, London, UK.
Julian L GriffinSchool of Medicine, Medical Sciences and Nutrition, University of Aberdeen, Aberdeen, UK.
Valerie B O'DonnellSystems Immunity Research Institute, School of Medicine, Cardiff University, Cardiff, UK.ORCID 0000-0003-4089-8460
Brendon NaickerSystems Immunity Research Institute, School of Medicine, Cardiff University, Cardiff, UK.ORCID 0000-0003-1590-1314
Matthew R LewisThe National Phenome Centre, Department of Metabolism, Digestion & Reproduction, Imperial College London, London, UK.
Toru SuzukiDepartment of Cardiovascular Sciences, University of Leicester and NIHR Leicester Biomedical Research Centre, Leicester, UK. ts263@le.ac.uk.ORCID 0000-0002-8371-664X
UK Consortium on Metabolic Phenotyping (MAP/UK)

Funding

Medical Research Council MR/S010483/1Wellcome Trust 203014/Z/16/Z
6 · The paper itself

Abstract

Targeted metabolite assays that measure tens or hundreds of pre-selected metabolites, typically using liquid chromatography-mass spectrometry, are increasingly being developed and applied to metabolic phenotyping studies. These are used both as standalone phenotyping methods and for the validation of putative metabolic biomarkers obtained from untargeted metabolomics studies. However, there are no widely accepted standards in the scientific community for ensuring reliability of the development and validation of targeted metabolite assays (referred to here as 'targeted metabolomics'). Most current practices attempt to adopt, with modifications, the strict guidance provided by drug regulatory authorities for analytical methods designed largely for measuring drugs and other xenobiotic analytes. Here, the regulatory guidance provided by the European Medicines Agency, US Food and Drug Administration and International Council for Harmonisation of Technical Requirements for Pharmaceuticals for Human Use are summarized. In this Perspective, we have adapted these guidelines and propose a less onerous 'tiered' approach to evaluate the reliability of a wide range of metabolomics analyses, addressing the need for community-accepted, harmonized guidelines for tiers other than full validation. This 'fit-for-purpose' tiered approach comprises four levels-discovery, screening, qualification and validation-and is discussed in the context of a range of targeted and untargeted metabolomics assays. Issues arising with targeted multiplexed metabolomics assays, and how these might be addressed, are considered. Furthermore, guidance is provided to assist the community with selecting the appropriate degree of reliability for a series of well-defined applications of metabolomics.

Indexed as

MetabolomeMetabolomicsChromatography, LiquidHumansReproducibility of ResultsUnited KingdomUnited States

Identifiers

What OpenQuestion holds

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Read underepoch 390

Registered trials

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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.