Evidence map›Paper›PMID 27447622›Full record

ReviewInternational journal of molecular sciences2016

Clinical Metabolomics: The New Metabolic Window for Inborn Errors of Metabolism Investigations in the Post-Genomic Era.

Abdellah Tebani, Lenaig Abily-Donval, Carlos Afonso, Stéphane Marret, Soumeya Bekri

Abstract readReview
In one paragraph

Review in International journal of molecular sciences, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 58 papers.

0numbers the graph read from it
0cells of the map it votes in
58citing 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

58 citing papers in PubMed.

  1. Review
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  6. Estimating metabolite networks subject to dietary preferences and lifestyle.Metabolomics : Official journal of the Metabolomic Society · 2025
    Article
  7. Article
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  9. Review
  10. Article
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  12. An epidemiological introduction to human metabolomic investigations.Trends in endocrinology and metabolism: TEM · 2023
    Review
  13. Article
  14. Article
  15. Review
  16. Article
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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

5 authors.

Abdellah TebaniDepartment of Metabolic Biochemistry, Rouen University Hospital, Rouen 76031, France. abdellah.tebani@chu-rouen.fr.
Lenaig Abily-DonvalNormandie Univ, UNIROUEN, INSERM, CHU Rouen, IRIB, Laboratoire NeoVasc ERI28, Rouen 76000, France. lenaig.abily-donval@chu-rouen.fr.
Carlos AfonsoNormandie Univ, UNIROUEN, INSA Rouen, CNRS, COBRA, Rouen 76000, France. carlos.afonso@univ-rouen.fr.
Stéphane MarretNormandie Univ, UNIROUEN, INSERM, CHU Rouen, IRIB, Laboratoire NeoVasc ERI28, Rouen 76000, France. stephane.marret@chu-rouen.fr.
Soumeya BekriDepartment of Metabolic Biochemistry, Rouen University Hospital, Rouen 76031, France. soumeya.bekri@chu-rouen.fr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Inborn errors of metabolism (IEM) represent a group of about 500 rare genetic diseases with an overall estimated incidence of 1/2500. The diversity of metabolic pathways involved explains the difficulties in establishing their diagnosis. However, early diagnosis is usually mandatory for successful treatment. Given the considerable clinical overlap between some inborn errors, biochemical and molecular tests are crucial in making a diagnosis. Conventional biological diagnosis procedures are based on a time-consuming series of sequential and segmented biochemical tests. The rise of "omic" technologies offers holistic views of the basic molecules that build a biological system at different levels. Metabolomics is the most recent "omic" technology based on biochemical characterization of metabolites and their changes related to genetic and environmental factors. This review addresses the principles underlying metabolomics technologies that allow them to comprehensively assess an individual biochemical profile and their reported applications for IEM investigations in the precision medicine era.

Indexed as

GenomicsHumansMetabolism, Inborn ErrorsMetabolomicsdiagnosisinborn errors of metabolismmetabolomicsprecision medicinescreeningsystems medicine

Identifiers

PMID27447622
PMCPMC4964538

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.