Evidence map›Paper›PMID 30830399›Full record

ArticleMetabolomics : Official journal of the Metabolomic Society2018

Italian cohort of patients affected by inflammatory bowel disease is characterised by variation in glycerophospholipid, free fatty acids and amino acid levels.

Antonio Murgia, Christine Hinz, Sonia Liggi, Jùlìa Denes, Zoe Hall, James West, Maria Laura Santoru, Cristina Piras, Cristina Manis, Paolo Usai and 3 more

Open access · greenAbstract read
PubMed Publisher
In one paragraph

Article in Metabolomics : Official journal of the Metabolomic Society, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed
1.8field-weighted citation impact, top 15% 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

34 citing papers in PubMed, 58 citations in OpenAlex.

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  15. Cardiovascular manifestations of inflammatory bowel diseases and the underlying pathogenic mechanisms.American journal of physiology. Regulatory, integrative and comparative physiology · 2023
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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

13 authors at 2 institutions in 2 countries.

Antonio MurgiaDepartment of Life and Environmental Sciences, University of Cagliari, Cagliari, Italy.
Christine HinzDepartment of Biochemistry and Cambridge Systems Biology Centre, University of Cambridge, Cambridge, UK.
Sonia LiggiDepartment of Biochemistry and Cambridge Systems Biology Centre, University of Cambridge, Cambridge, UK.
Jùlìa DenesDepartment of Biochemistry and Cambridge Systems Biology Centre, University of Cambridge, Cambridge, UK.
Zoe HallDepartment of Biochemistry and Cambridge Systems Biology Centre, University of Cambridge, Cambridge, UK.
James WestDepartment of Biochemistry and Cambridge Systems Biology Centre, University of Cambridge, Cambridge, UK.
Maria Laura SantoruDepartment of Biomedical Sciences, University of Cagliari, Cagliari, Italy.
Cristina PirasDepartment of Biomedical Sciences, University of Cagliari, Cagliari, Italy.
Cristina ManisDepartment of Life and Environmental Sciences, University of Cagliari, Cagliari, Italy.
Paolo UsaiDepartment of Public Health, Clinical and Molecular Medicine, University of Cagliari, Cagliari, Italy.
Luigi AtzoriDepartment of Biomedical Sciences, University of Cagliari, Cagliari, Italy.
Julian L GriffinDepartment of Biochemistry and Cambridge Systems Biology Centre, University of Cambridge, Cambridge, UK.
Pierluigi CaboniDepartment of Life and Environmental Sciences, University of Cagliari, Cagliari, Italy. caboni@unica.it.
University of Cagliari · ITUniversity of Cambridge · GB

Funding

Medical Research Council MC_PC_13030Medical Research Council MC_UP_A090_1006Medical Research Council MR/P011705/1Medical Research Council MR/P01836X/1Regione Autonoma della Sardegna F71J12001180002
6 · The paper itself

Abstract

backgroundInflammatory bowel disease is a group of pathologies characterised by chronic inflammation of the intestine and an unclear aetiology. Its main manifestations are Crohn's disease and ulcerative colitis. Currently, biopsies are the most used diagnostic tests for these diseases and metabolomics could represent a less invasive approach to identify biomarkers of disease presence and progression.

objectivesThe lipid and the polar metabolite profile of plasma samples of patients affected by inflammatory bowel disease have been compared with healthy individuals with the aim to find their metabolomic differences. Also, a selected sub-set of samples was analysed following solid phase extraction to further characterise differences between pathological samples.

methodsA total of 200 plasma samples were analysed using drift tube ion mobility coupled with time of flight mass spectrometry and liquid chromatography for the lipid metabolite profile analysis, while liquid chromatography coupled with triple quadrupole mass spectrometry was used for the polar metabolite profile analysis.

resultsVariations in the lipid profile between inflammatory bowel disease and healthy individuals were highlighted. Phosphatidylcholines, lyso-phosphatidylcholines and fatty acids were significantly changed among pathological samples suggesting changes in phospholipase A

conclusionsGiven good statistical results and predictive power of the model produced in our study, metabolomics can be considered as a valid tool to investigate inflammatory bowel disease.

Indexed as

AdultAgedAmino AcidsCohort StudiesFatty Acids, NonesterifiedFemaleGlycerophospholipidsHumansInflammatory Bowel DiseasesItalyMaleMiddle AgedMultivariate AnalysisSolid Phase ExtractionYoung AdultAmino AcidsFatty Acids, NonesterifiedGlycerophospholipidsCCSCrohn’s diseaseIBDLipidomicsMetabolomicsUlcerative colitis

Identifiers

PMID30830399
OpenAlexW2896260735

What OpenQuestion holds

Textmetadata
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.