Evidence map›Paper›PMID 31640247›Full record

ReviewMetabolites2019

Inborn Errors of Metabolism in the Era of Untargeted Metabolomics and Lipidomics.

Israa T Ismail, Megan R Showalter, Oliver Fiehn

Erratum issuedAbstract readReview
In one paragraph

Review in Metabolites, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 45 papers.

0numbers the graph read from it
0cells of the map it votes in
45citing 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

45 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Review
  6. Expanded Newborn Screening in Italy: The First Report of Lombardy Region.International journal of neonatal screening · 2025
    Article
  7. Article
  8. [Detection of inborn errors of metabolism: guidelines in Mexico and other countries].Revista medica del Instituto Mexicano del Seguro Social · 2024
    Review
  9. Article
  10. Article
  11. Review
  12. Review
  13. Article
  14. Article
  15. Review
  16. Article
  17. Proteomics in Inherited Metabolic Disorders.International journal of molecular sciences · 2022
    Review
  18. Review
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Israa T IsmailNational Liver Institute, Menoufia University, Shebeen El Kom 55955, Egypt. israataher2015@gmail.com.
Megan R ShowalterNIH West Coast Metabolomics Center, University of California Davis, Davis, CA 95616, USA. mshowalter@ucdavis.edu.
Oliver FiehnNIH West Coast Metabolomics Center, University of California Davis, Davis, CA 95616, USA. ofiehn@ucdavis.edu.

Funding

West Coast Metabolomics Center for Compound IdentificationU2CES030158 · NIEHS · UNIVERSITY OF CALIFORNIA AT DAVIS · PI FIEHN, OLIVER · 2018 to 2021
$4.1M
Egyptian Ministry of Higher Education direct fundsNIH HHS U2C ES030158
6 · The paper itself

Abstract

Inborn errors of metabolism (IEMs) are a group of inherited diseases with variable incidences. IEMs are caused by disrupting enzyme activities in specific metabolic pathways by genetic mutations, either directly or indirectly by cofactor deficiencies, causing altered levels of compounds associated with these pathways. While IEMs may present with multiple overlapping symptoms and metabolites, early and accurate diagnosis of IEMs is critical for the long-term health of affected subjects. The prevalence of IEMs differs between countries, likely because different IEM classifications and IEM screening methods are used. Currently, newborn screening programs exclusively use targeted metabolic assays that focus on limited panels of compounds for selected IEM diseases. Such targeted approaches face the problem of false negative and false positive diagnoses that could be overcome if metabolic screening adopted analyses of a broader range of analytes. Hence, we here review the prospects of using untargeted metabolomics for IEM screening. Untargeted metabolomics and lipidomics do not rely on predefined target lists and can detect as many metabolites as possible in a sample, allowing to screen for many metabolic pathways simultaneously. Examples are given for nontargeted analyses of IEMs, and prospects and limitations of different metabolomics methods are discussed. We conclude that dedicated studies are needed to compare accuracy and robustness of targeted and untargeted methods with respect to widening the scope of IEM diagnostics.

Indexed as

aminoacidemia.LC-MSlysosomal storage diseasemass spectrometrymitochondrial disordersorganic aciduriaphenylketonuria

Identifiers

PMID31640247
PMCPMC6835511

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.