Evidence map›Paper›PMID 31827172›Full record

ArticleScientific reports2019

Monitoring type 2 diabetes from volatile faecal metabolome in Cushing's syndrome and single Afmid mouse models via a longitudinal study.

Célia Lourenço, Darren Kelly, Jack Cantillon, Michael Cauchi, Marianne A Yon, Liz Bentley, Roger D Cox, Claire Turner

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
0.9field-weighted citation impact, top 27% 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

11 citing papers in PubMed, 23 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Microbiome and Metabolomics in Liver Cancer: Scientific Technology.International journal of molecular sciences · 2022
    Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Review
  11. Frontiers in nutrition · 2021
    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

8 authors at 3 institutions in 2 countries.

Célia LourençoSchool of Life, Health & Chemical Sciences, Faculty of Science, Technology, Engineering and Mathematics, The Open University, Walton Hall, Milton Keynes, MK7 6AA, UK.ORCID http://orcid.org/0000-0002-2323-3304
Darren KellyDepartment of Mathematics & Statistics, University of Limerick, Limerick, V94 T9PX, Ireland.
Jack CantillonDepartment of Mathematics & Statistics, University of Limerick, Limerick, V94 T9PX, Ireland.
Michael CauchiDepartment of Mathematics & Statistics, University of Limerick, Limerick, V94 T9PX, Ireland.
Marianne A YonMammalian Genetics Unit, MRC Harwell Institute, Harwell Campus, Oxfordshire, OX11 0RD, UK.
Liz BentleyMammalian Genetics Unit, MRC Harwell Institute, Harwell Campus, Oxfordshire, OX11 0RD, UK.
Roger D CoxMammalian Genetics Unit, MRC Harwell Institute, Harwell Campus, Oxfordshire, OX11 0RD, UK.ORCID http://orcid.org/0000-0001-7170-5014
Claire TurnerSchool of Life, Health & Chemical Sciences, Faculty of Science, Technology, Engineering and Mathematics, The Open University, Walton Hall, Milton Keynes, MK7 6AA, UK. claire.turner@brunel.ac.uk.ORCID https://orcid.org/0000-0003-3613-5452
Mary Lyon Centre at MRC Harwell · GBUniversity of Limerick · IEThe Open University · GB

Funding

Medical Research Council MC_U142661184
6 · The paper itself

Abstract

The analysis of volatile organic compounds (VOCs) as a non-invasive method for disease monitoring, such as type 2 diabetes (T2D) has shown potential over the years although not yet set in clinical practice. Longitudinal studies to date are limited and the understanding of the underlying VOC emission over the age is poorly understood. This study investigated longitudinal changes in VOCs present in faecal headspace in two mouse models of T2D - Cushing's syndrome and single Afmid knockout mice. Longitudinal changes in bodyweight, blood glucose levels and plasma insulin concentration were also reported. Faecal headspace analysis was carried out using selected ion flow tube mass spectrometry (SIFT-MS) and thermal desorption coupled to gas chromatography-mass spectrometry (TD-GC-MS). Multivariate data analysis of the VOC profile showed differences mainly in acetic acid and butyric acid able to discriminate the groups Afmid and Cushing's mice. Moreover, multivariate data analysis revealed statistically significant differences in VOCs between Cushing's mice/wild-type (WT) littermates, mainly short-chain fatty acids (SCFAs), ketones, and alcohols, and longitudinal differences mainly attributed to methanol, ethanol and acetone. Afmid mice did not present statistically significant differences in their volatile faecal metabolome when compared to their respective WT littermates. The findings suggested that mice developed a diabetic phenotype and that the altered VOC profile may imply a related change in gut microbiota, particularly in Cushing's mice. Furthermore, this study provided major evidence of age-related changes on the volatile profile of diabetic mice.

Indexed as

MetabolomeAnimalsArylformamidaseBlood GlucoseCushing SyndromeDiabetes Mellitus, ExperimentalDiabetes Mellitus, Type 2FecesFemaleGas Chromatography-Mass SpectrometryGastrointestinal MicrobiomeInsulinLongitudinal StudiesMaleMiceMice, KnockoutArylformamidaseBlood GlucoseInsulinVolatile Organic Compounds

Identifiers

PMID31827172
PMCPMC6906526
OpenAlexW2995836850

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.