Evidence map›Paper›PMID 32485793›Full record

SynthesisInternational journal of molecular sciences2020

Translational Potential of Metabolomics on Animal Models of Inflammatory Bowel Disease-A Systematic Critical Review.

Lina Almind Knudsen, Rasmus Desdorf, Sören Möller, Signe Bek Sørensen, Axel Kornerup Hansen, Vibeke Andersen

Open access · goldAbstract readSystematic Review
In one paragraph

Synthesis in International journal of molecular sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.6field-weighted citation impact, top 35% of its field
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

7 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Article
  6. Article
  7. 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

6 authors at 2 institutions in 1 country.

Lina Almind KnudsenFocused Research Unit for Molecular Diagnostic and Clinical Research, University Hospital of Southern Denmark, Kresten Philipsens Vej 15, 6200 Aabenraa, Denmark.
Rasmus DesdorfFocused Research Unit for Molecular Diagnostic and Clinical Research, University Hospital of Southern Denmark, Kresten Philipsens Vej 15, 6200 Aabenraa, Denmark.
Sören MöllerOPEN-Odense Patient data Explorative Network, Department of Clinical Research, University of Southern Denmark, and Odense University Hospital Odense, J. B. Winsloews Vej 9a, 5000 Odense C, Denmark.
Signe Bek SørensenFocused Research Unit for Molecular Diagnostic and Clinical Research, University Hospital of Southern Denmark, Kresten Philipsens Vej 15, 6200 Aabenraa, Denmark.ORCID 0000-0003-3215-1236
Axel Kornerup HansenDepartment of Veterinary and Animal Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Groennegaardsvej 15, 1870 Frederiksberg C, Denmark.
Vibeke AndersenFocused Research Unit for Molecular Diagnostic and Clinical Research, University Hospital of Southern Denmark, Kresten Philipsens Vej 15, 6200 Aabenraa, Denmark.ORCID 0000-0002-0127-2863
University of Southern Denmark · DKUniversity of Copenhagen · DK

Funding

Hospital of Southern Jutland N/AKnud og Edith Eriksens Mindefond N/ALundbeckfonden R208-2015-3060, R211-2015-3061Region of Southern Denmark N/A
6 · The paper itself

Abstract

In the development of inflammatory bowel disease (IBD), the gut microbiota has been established as a key factor. Recently, metabolomics has become important for understanding the functional relevance of gut microbial changes in disease. Animal models for IBD enable the study of factors involved in disease development. However, results from animal studies may not represent the human situation. The aim of this study was to investigate whether results from metabolomics studies on animal models for IBD were similar to those from studies on IBD patients. Medline and Embase were searched for relevant studies up to May 2017. The Covidence systematic review software was used for study screening, and quality assessment was conducted for all included studies. Data showed a convergence of ~17% for metabolites differentiated between IBD and controls in human and animal studies with amino acids being the most differentiated metabolite subclass. The acute dextran sodium sulfate model appeared as a good model for analysis of systemic metabolites in IBD, but analytical platform, age, and biological sample type did not show clear correlations with any significant metabolites. In conclusion, this systematic review highlights the variation in metabolomics results, and emphasizes the importance of expanding the applied detection methods to ensure greater coverage and convergence between the various different patient phenotypes and animal models of inflammatory bowel disease.

Indexed as

MetabolomeAnimalsDisease Models, AnimalHumansInflammatory Bowel DiseasesMetabolomicsMiceSodium Dodecyl SulfateTranslational Research, BiomedicalSodium Dodecyl Sulfateanimal modelsinflammatory bowel diseasemetabolomicssystematic review

Identifiers

PMID32485793
PMCPMC7312423
OpenAlexW3032229247

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.