Evidence map›Paper›PMID 28840392›Full record

ReviewJournal of inherited metabolic disease2018

Advances in metabolome information retrieval: turning chemistry into biology. Part I: analytical chemistry of the metabolome.

Abdellah Tebani, Carlos Afonso, Soumeya Bekri

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 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 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

19 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Biomarkers of Metabolomics in Inflammatory Bowel Disease and Damp-Heat Syndrome: A Preliminary Study.Evidence-based complementary and alternative medicine : eCAM · 2022
    Article
  10. Review
  11. Article
  12. Article
  13. Liquid Chromatography-Mass Spectrometry for Clinical Metabolomics: An Overview.Advances in experimental medicine and biology · 2021
    Article
  14. Review
  15. Article
  16. Review
  17. Review
  18. Article
  19. Review
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

3 authors.

Abdellah TebaniDepartment of Metabolic Biochemistry, Rouen University Hospital, 76000, Rouen, France.
Carlos AfonsoNormandie Université, UNIROUEN, INSA Rouen, CNRS, COBRA, 76000, Rouen, France.
Soumeya BekriDepartment of Metabolic Biochemistry, Rouen University Hospital, 76000, Rouen, France. soumeya.bekri@chu-rouen.fr.ORCID 0000-0001-6184-7270

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Metabolites are small molecules produced by enzymatic reactions in a given organism. Metabolomics or metabolic phenotyping is a well-established omics aimed at comprehensively assessing metabolites in biological systems. These comprehensive analyses use analytical platforms, mainly nuclear magnetic resonance spectroscopy and mass spectrometry, along with associated separation methods to gather qualitative and quantitative data. Metabolomics holistically evaluates biological systems in an unbiased, data-driven approach that may ultimately support generation of hypotheses. The approach inherently allows the molecular characterization of a biological sample with regard to both internal (genetics) and environmental (exosome, microbiome) influences. Metabolomics workflows are based on whether the investigator knows a priori what kind of metabolites to assess. Thus, a targeted metabolomics approach is defined as a quantitative analysis (absolute concentrations are determined) or a semiquantitative analysis (relative intensities are determined) of a set of metabolites that are possibly linked to common chemical classes or a selected metabolic pathway. An untargeted metabolomics approach is a semiquantitative analysis of the largest possible number of metabolites contained in a biological sample. This is part I of a review intending to give an overview of the state of the art of major metabolic phenotyping technologies. Furthermore, their inherent analytical advantages and limits regarding experimental design, sample handling, standardization and workflow challenges are discussed.

Indexed as

Databases, FactualMetabolomeBiologyChemistry Techniques, AnalyticalHumansInformation Storage and RetrievalMetabolic Networks and PathwaysMetabolomicsPhenotype

Identifiers

PMID28840392
PMCPMC5959978

What OpenQuestion holds

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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.