Evidence map›Paper›PMID 27624161›Full record

ReviewJournal of the American Society for Mass Spectrometry2016

Untargeted Metabolomics Strategies-Challenges and Emerging Directions.

Alexandra C Schrimpe-Rutledge, Simona G Codreanu, Stacy D Sherrod, John A McLean

Registry-linked trialAbstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Journal of the American Society for Mass Spectrometry, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04042519 (The Correlation Research Between the Omega-3 and Omega-6 Inflammatory Metabolites and Stable COPD.), which is not on this map. Cited by 735 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
735citing papers in PubMed, 6 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.

NCT04042519 completednot on this map

The Correlation Research Between the Omega-3 and Omega-6 Inflammatory Metabolites and Stable COPD.

TypeobservationalSponsorGuangzhou Institute of Respiratory DiseaseRan2016 to 2019Enrolled200ConditionsMetabolomics, Omega 6, Omega 3, COPDArmsLung function test was performed on the subjects with Jaeger lung function instrument of Germany., Agilent 1290 Infinity LC system (UHPLC, Santa Clara CA) was used for Targeted metabolite detection., Routine blood test
3 · Its place in the literature

Who cites it

735 citing papers in PubMed, 6 syntheses or guidelines pooled it.

  1. Pooled it
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  9. Article
  10. Article
  11. Comparative metabolomics of paired maternal-cord samples identifies pathway-level divergence.Metabolomics : Official journal of the Metabolomic Society · 2026
    Article
  12. Article
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  18. Multi-omics identification of amino acid and redox dysregulation in cystic fibrosis-related diabetes.Journal of cystic fibrosis : official journal of the European Cystic Fibrosis Society · 2026
    Article
  19. Review
  20. FastRet: Fast and Simple Retention Time Prediction in Liquid Chromatography.Journal of chemical information and modeling · 2026
    Article

675 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

4 authors.

Alexandra C Schrimpe-RutledgeDepartment of Chemistry, Vanderbilt University, Nashville, TN, 37235, USA.
Simona G CodreanuDepartment of Chemistry, Vanderbilt University, Nashville, TN, 37235, USA.
Stacy D SherrodDepartment of Chemistry, Vanderbilt University, Nashville, TN, 37235, USA.
John A McLeanDepartment of Chemistry, Vanderbilt University, Nashville, TN, 37235, USA. john.a.mclean@vanderbilt.edu.

Funding

Neurovascular Unit on a Chip: Regional Chemical Communication, Drug and Toxin ResponsesUH3TR000491 · NCATS · VANDERBILT UNIVERSITY · PI GHOSH, CHAITALI, JANIGRO, DAMIR · 2014 to 2016
$3.8M
New Methodologies for Accelerating Natural Product DiscoveryR01GM092218 · NIGMS · VANDERBILT UNIVERSITY · PI BACHMANN, BRIAN O, MCLEAN, JOHN ALAN · 2010 to 2018
$2.8M
Neurovascular Unit on a Chip: Chemical Communication, Drug and Toxin ResponsesUH2TR000491 · NCATS · VANDERBILT UNIVERSITY · PI NISWENDER, KEVIN D, WEBB, DONNA J · 2012 to 2013
$2.2M
NCATS NIH HHS UH2 TR000491NCATS NIH HHS UH3 TR000491NIGMS NIH HHS R01 GM092218
6 · The paper itself

Abstract

Metabolites are building blocks of cellular function. These species are involved in enzyme-catalyzed chemical reactions and are essential for cellular function. Upstream biological disruptions result in a series of metabolomic changes and, as such, the metabolome holds a wealth of information that is thought to be most predictive of phenotype. Uncovering this knowledge is a work in progress. The field of metabolomics is still maturing; the community has leveraged proteomics experience when applicable and developed a range of sample preparation and instrument methodology along with myriad data processing and analysis approaches. Research focuses have now shifted toward a fundamental understanding of the biology responsible for metabolomic changes. There are several types of metabolomics experiments including both targeted and untargeted analyses. While untargeted, hypothesis generating workflows exhibit many valuable attributes, challenges inherent to the approach remain. This Critical Insight comments on these challenges, focusing on the identification process of LC-MS-based untargeted metabolomics studies-specifically in mammalian systems. Biological interpretation of metabolomics data hinges on the ability to accurately identify metabolites. The range of confidence associated with identifications that is often overlooked is reviewed, and opportunities for advancing the metabolomics field are described. Graphical Abstract ᅟ.

Indexed as

Chromatography, LiquidTandem Mass SpectrometryAnimalsMetabolomeMetabolomicsBioinformaticsDiscoveryGlobalIdentificationMetabolomicsTargetedUntargetedValidation

Identifiers

PMID27624161
PMCPMC5110944

What OpenQuestion holds

Textmetadata
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Read underepoch 390

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.