Evidence map›Paper›PMID 35982195›Full record

ArticleScientific reports2022

Evidence of a genetically driven metabolomic signature in actively inflamed Crohn's disease.

Enrico Mossotto, Joanna Boberska, James J Ashton, Imogen S Stafford, Guo Cheng, Jonathan Baker, Florina Borca, Hang T T Phan, Tracy F Coelho, R Mark Beattie and 2 more

Abstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. 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

12 authors.

Enrico Mossotto *Human Genetics and Genomic Medicine, Southampton General Hospital, University of Southampton, Duthie Building (Mailpoint 808), Southampton, SO16 6YD, UK.
Joanna Boberska *Department of Food and Nutritional Sciences, The University of Reading, Whiteknights campus, Reading, UK.
James J AshtonHuman Genetics and Genomic Medicine, Southampton General Hospital, University of Southampton, Duthie Building (Mailpoint 808), Southampton, SO16 6YD, UK.
Imogen S StaffordHuman Genetics and Genomic Medicine, Southampton General Hospital, University of Southampton, Duthie Building (Mailpoint 808), Southampton, SO16 6YD, UK.
Guo ChengHuman Genetics and Genomic Medicine, Southampton General Hospital, University of Southampton, Duthie Building (Mailpoint 808), Southampton, SO16 6YD, UK.
Jonathan BakerDepartment of Paediatric Gastroenterology, Southampton Children's Hospital, Southampton, UK.
Florina BorcaNIHR Southampton Biomedical Research Centre, University Hospital Southampton, Southampton, UK.
Hang T T PhanNIHR Southampton Biomedical Research Centre, University Hospital Southampton, Southampton, UK.
Tracy F CoelhoDepartment of Paediatric Gastroenterology, Southampton Children's Hospital, Southampton, UK.
R Mark BeattieDepartment of Paediatric Gastroenterology, Southampton Children's Hospital, Southampton, UK.
Sandrine P ClausDepartment of Food and Nutritional Sciences, The University of Reading, Whiteknights campus, Reading, UK.
Sarah EnnisHuman Genetics and Genomic Medicine, Southampton General Hospital, University of Southampton, Duthie Building (Mailpoint 808), Southampton, SO16 6YD, UK. s.ennis@southampton.ac.uk.

Funding

Department of Health
6 · The paper itself

Abstract

Crohn's disease (CD) is characterised by chronic inflammation. We aimed to identify a relationship between plasma inflammatory metabolomic signature and genomic data in CD using blood plasma metabolic profiles. Proton NMR spectroscopy were achieved for 228 paediatric CD patients. Regression (OPLS) modelling and machine learning (ML) approaches were independently applied to establish the metabolic inflammatory signature, which was correlated against gene-level pathogenicity scores generated for all patients and functional enrichment was analysed. OPLS modelling of metabolomic spectra from unfasted patients revealed distinctive shifts in plasma metabolites corresponding to regions of the spectrum assigned to N-acetyl glycoprotein, glycerol and phenylalanine that were highly correlated (R

Indexed as

Colitis, UlcerativeCrohn DiseaseInflammatory Bowel DiseasesChildHumansInflammationMetabolomeMetabolomics

Identifiers

PMID35982195
PMCPMC9388636

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.