Evidence map›Paper›PMID 24665364›Full record

ReviewAutoimmune diseases2014

A metabolomic perspective on coeliac disease.

Antonio Calabrò, Ewa Gralka, Claudio Luchinat, Edoardo Saccenti, Leonardo Tenori

Abstract readReview
In one paragraph

Review in Autoimmune diseases, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 2 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

15 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Tools Used to Measure the Physical State of Women with Celiac Disease: A Review with a Systematic Approach.International journal of environmental research and public health · 2020
    Pooled it
  2. Pooled it
  3. Review
  4. Article
  5. Review
  6. Review
  7. Article
  8. High-Throughput Metabolomics by 1D NMR.Angewandte Chemie (International ed. in English) · 2019
    Review
  9. Dermatitis Herpetiformis: Novel Perspectives.Frontiers in immunology · 2019
    Review
  10. Article
  11. Review
  12. Article
  13. Review
  14. Article
  15. Only one health, and so many omics.Cancer cell international · 2015
    Article
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.

Antonio CalabròDepartment of Experimental and Clinical Biomedical Sciences, University of Florence, Viale Pieraccini 6, 50139 Florence, Italy ; Tuscany Referral Center for Adult Coeliac Disease, Viale Pieraccini 6, 50139 Florence, Italy.
Ewa GralkaMagnetic Resonance Center (CERM), University of Florence, Via L. Sacconi 6, 50019 Sesto Fiorentino, Italy.ORCID 0000-0003-4412-5537
Claudio LuchinatMagnetic Resonance Center (CERM), University of Florence, Via L. Sacconi 6, 50019 Sesto Fiorentino, Italy ; Department of Chemistry, University of Florence, Via della Lastruccia 3, 50019 Sesto Fiorentino, Italy.ORCID 0000-0003-2271-8921
Edoardo SaccentiBiosystems Data Analysis Group, University of Amsterdam, 904 Science Park, 1098 XH Amsterdam, The Netherlands ; Laboratory of Systems and Synthetic Biology, Wageningen University and Research Center, Dreijenplein 10, 6703 HB Wageningen, The Netherlands.ORCID 0000-0001-8284-4829
Leonardo TenoriMagnetic Resonance Center (CERM), University of Florence, Via L. Sacconi 6, 50019 Sesto Fiorentino, Italy ; FiorGen Foundation, Via L. Sacconi 6, 50019 Sesto Fiorentino, Italy.ORCID 0000-0001-6438-059X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Metabolomics is an "omic" science that is now emerging with the purpose of elaborating a comprehensive analysis of the metabolome, which is the complete set of metabolites (i.e., small molecules intermediates) in an organism, tissue, cell, or biofluid. In the past decade, metabolomics has already proved to be useful for the characterization of several pathological conditions and offers promises as a clinical tool. A metabolomics investigation of coeliac disease (CD) revealed that a metabolic fingerprint for CD can be defined, which accounts for three different but complementary components: malabsorption, energy metabolism, and alterations in gut microflora and/or intestinal permeability. In this review, we will discuss the major advancements in metabolomics of CD, in particular with respect to the role of gut microbiome and energy metabolism.

Identifiers

PMID24665364
PMCPMC3934717

What OpenQuestion holds

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LicenceCC BY
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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.