Evidence map›Paper›PMID 29536203›Full record

ReviewJournal of inherited metabolic disease2018

Promises and pitfalls of untargeted metabolomics.

Ilya Gertsman, Bruce A Barshop

Abstract readReview
In one paragraph

Review in Journal of inherited metabolic disease, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 138 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
138citing papers in PubMed, 3 pooled it
–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

138 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Clinical lipidomics in bacterial sepsis: a systematic review of serum and plasma evaluations.Metabolomics : Official journal of the Metabolomic Society · 2026
    Pooled it
  2. Pooled it
  3. Pooled it
  4. Trial
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  7. Review
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  9. Review
  10. Calcium regulation ofApplied and environmental microbiology · 2026
    Article
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  13. Review
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  18. RPLC- and HILIC-based non-targeted metabolomics workflow for blood microsamples.Metabolomics : Official journal of the Metabolomic Society · 2026
    Article
  19. Article
  20. Article

78 more citing papers are in PubMed but not listed here.

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

2 authors.

Ilya GertsmanBiochemical Genetics and Metabolomics Laboratory, Department of Pediatrics, University of California San Diego, 9500 Gilman Dr. La Jolla, CA, 92093-0830, USA.
Bruce A BarshopBiochemical Genetics and Metabolomics Laboratory, Department of Pediatrics, University of California San Diego, 9500 Gilman Dr. La Jolla, CA, 92093-0830, USA. bbarshop@ucsd.edu.ORCID 0000-0001-9264-3270

Funding

Genetic Factors Involving Expression of 3-Methylcrotonyl-CoA Carboxylase DeficienR03HD069983 · NICHD · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI BARSHOP, BRUCE A · 2011 to 2012
$155k
NICHD NIH HHS R03 HD069983
6 · The paper itself

Abstract

Metabolomics is one of the newer omics fields, and has enabled researchers to complement genomic and protein level analysis of disease with both semi-quantitative and quantitative metabolite levels, which are the chemical mediators that constitute a given phenotype. Over more than a decade, methodologies have advanced for both targeted (quantification of specific analytes) as well as untargeted metabolomics (biomarker discovery and global metabolite profiling). Untargeted metabolomics is especially useful when there is no a priori metabolic hypothesis. Liquid chromatography coupled to mass spectrometry (LC-MS) has been the preferred choice for untargeted metabolomics, given the versatility in metabolite coverage and sensitivity of these instruments. Resolving and profiling many hundreds to thousands of metabolites with varying chemical properties in a biological sample presents unique challenges, or pitfalls. In this review, we address the various obstacles and corrective measures available in four major aspects associated with an untargeted metabolomics experiment: (1) experimental design, (2) pre-analytical (sample collection and preparation), (3) analytical (chromatography and detection), and (4) post-analytical (data processing).

Indexed as

Biomedical ResearchArtifactsCalibrationChromatography, LiquidHumansMetabolomeMetabolomicsResearch DesignTandem Mass Spectrometry

Identifiers

PMID29536203
PMCPMC5960440

What OpenQuestion holds

Textmetadata
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Read underepoch 390

Registered trials

None linked

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.