Evidence map›Paper›PMID 34952633›Full record

ArticleBMC research notes2021

Preliminary demonstration of benchtop NMR metabolic profiling of feline urine: chronic kidney disease as a case study.

Natalie Finch, Benita Percival, Elena Hunter, Robin J Blagg, Emily Blackwell, James Sagar, Zeeshan Ahmad, Ming-Wei Chang, John A Hunt, Melissa L Mather and 3 more

Abstract read
In one paragraph

Article in BMC research notes, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Article
  6. Omics Technologies in Veterinary Medicine: Literature Review and Perspectives in Transfusion Medicine.Transfusion medicine and hemotherapy : offizielles Organ der Deutschen Gesellschaft fur Transfusionsmedizin und Immunhamatologie · 2023
    Review
  7. Review
  8. EnhancingACS measurement science au · 2023
    Article
  9. Review
  10. NMR-based metabolomics: Where are we now and where are we going?Progress in nuclear magnetic resonance spectroscopy
    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

13 authors.

Natalie FinchUniversity of Bristol Veterinary School, Langford House, Langford, Bristol, BS40 5DU, UK.
Benita PercivalNottingham Trent University, Brackenhurst Lane, Southwell, NG25 0QF, UK.
Elena HunterNottingham Trent University, Brackenhurst Lane, Southwell, NG25 0QF, UK.
Robin J BlaggOxford Instruments Magnetic Resonance, Tubney Woods, Abingdon, Oxfordshire, OX13 5QX, UK.
Emily BlackwellUniversity of Bristol Veterinary School, Langford House, Langford, Bristol, BS40 5DU, UK.
James SagarOxford Instruments Magnetic Resonance, Tubney Woods, Abingdon, Oxfordshire, OX13 5QX, UK.
Zeeshan AhmadDe Montfort University, The Gateway, Leicester, LE1 9BH, UK.
Ming-Wei ChangNanotechnology and Integrated Bioengineering Centre, University of Ulster, Jordanstown Campus, Newtownabbey, Northern Ireland, UK.
John A HuntNottingham Trent University, Brackenhurst Lane, Southwell, NG25 0QF, UK.
Melissa L MatherUniversity of Nottingham, University Park, Nottingham, NG7 2RD, UK.
Séverine TaskerLinnaeus Veterinary Limited, Friars Gate, Solihull, B90 4BN, UK.
Luisa De RisioNottingham Trent University, Brackenhurst Lane, Southwell, NG25 0QF, UK.
Philippe B WilsonNottingham Trent University, Brackenhurst Lane, Southwell, NG25 0QF, UK. philippe.wilson@ntu.ac.uk.ORCID http://orcid.org/0000-0003-0207-2246

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe use of benchtop metabolic profiling technology based on nuclear magnetic resonance (NMR) was evaluated in a small cohort of cats with a view to applying this as a viable and rapid metabolic tool to support clinical decision making.

resultsUrinary metabolites were analysed from four subjects consisting of two healthy controls and two chronic kidney disease (CKD) IRIS stage 2 cases. The study identified 15 metabolites in cats with CKD that were different from the controls. Among them were acetate, creatinine, citrate, taurine, glycine, serine and threonine. Benchtop NMR technology is capable of distinguishing between chronic kidney disease case and control samples in a pilot feline cohort based on metabolic profile. We offer perspectives on the further development of this pilot work and the potential of the technology, when combined with sample databases and computational intelligence techniques to offer a clinical decision support tool not only for cases of renal disease but other metabolic conditions in the future.

Indexed as

MetabolomicsRenal Insufficiency, ChronicAnimalsCatsCreatinineMagnetic Resonance SpectroscopyMetabolomeCreatinineCatChronic kidney diseaseMetaboliteMetabolomicsNMR

Identifiers

PMID34952633
PMCPMC8708514

What Socratic 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 Socratic graph.