Evidence map›Paper›PMID 34775536›Full record

ArticleMetabolomics : Official journal of the Metabolomic Society2021

Targeted metabolomic analysis identifies increased serum levels of GABA and branched chain amino acids in canine diabetes.

Allison L O'Kell, Clive Wasserfall, Joy Guingab-Cagmat, Bobbie-Jo M Webb-Roberston, Mark A Atkinson, Timothy J Garrett

Erratum issuedOpen access · bronzeAbstract read
In one paragraph

Article in Metabolomics : Official journal of the Metabolomic Society, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.6field-weighted citation impact, top 32% 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

4 citing papers in PubMed, 8 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 2 institutions in 1 country.

Allison L O'KellDepartment of Small Animal Clinical Sciences, College of Veterinary Medicine, The University of Florida, 2015 SW 16th Ave, Box 100116, Gainesville, FL, 32608, USA. aokell@ufl.edu.ORCID 0000-0002-3412-0575
Clive WasserfallDepartment of Pathology, Immunology, and Laboratory Medicine, The University of Florida, Gainesville, FL, USA.
Joy Guingab-CagmatSoutheast Center for Integrated Metabolomics, Clinical and Translational Science Institute, The University of Florida, Gainesville, FL, USA.
Bobbie-Jo M Webb-RoberstonDepartment of Pathology, Immunology, and Laboratory Medicine, The University of Florida, Gainesville, FL, USA.
Mark A AtkinsonDepartment of Pathology, Immunology, and Laboratory Medicine, The University of Florida, Gainesville, FL, USA.
Timothy J GarrettDepartment of Pathology, Immunology, and Laboratory Medicine, The University of Florida, Gainesville, FL, USA.
University of Florida · USPacific Northwest National Laboratory · US

Funding

Evaluating canine diabetes as a novel means to understand the human diseaseK08DK116735 · NIDDK · UNIVERSITY OF FLORIDA · PI O'KELL, ALLISON L · 2018 to 2021
$598k
NIDDK NIH HHS K08 DK116735
6 · The paper itself

Abstract

introductionDogs with naturally occurring diabetes mellitus represent a potential model for human type 1 diabetes, yet significant knowledge voids exist in terms of the pathogenic mechanisms underlying the canine disorder. Untargeted metabolomic studies from a limited number of diabetic dogs identified similarities to humans with the disease.

objectiveTo expand and validate earlier metabolomic studies, identify metabolites that differ consistently between diabetic and healthy dogs, and address whether certain metabolites might serve as disease biomarkers.

methodsUntargeted metabolomic analysis via liquid chromatography-mass spectrometry was performed on serum from diabetic (n = 15) and control (n = 15) dogs. Results were combined with those of our previously published studies using identical methods (12 diabetic and 12 control dogs) to identify metabolites consistently different between the groups in all 54 dogs. Thirty-two candidate biomarkers were quantified using targeted metabolomics. Biomarker concentrations were compared between the groups using multiple linear regression (corrected P < 0.0051 considered significant).

resultsUntargeted metabolomics identified multiple persistent differences in serum metabolites in diabetic dogs compared with previous studies. Targeted metabolomics showed increases in gamma amino butyric acid, valine, leucine, isoleucine, citramalate, and 2-hydroxyisobutyric acid in diabetic versus control dogs while indoxyl sulfate, N-acetyl-L-aspartic acid, kynurenine, anthranilic acid, tyrosine, glutamine, and tauroursodeoxycholic acid were decreased.

conclusionSeveral of these findings parallel metabolomic studies in both human diabetes and other animal models of this disease. Given recent studies on the role of GABA and branched chain amino acids in human diabetes, the increase in serum concentrations in canine diabetes warrants further study of these metabolites as potential biomarkers, and to identify similarity in mechanisms underlying this disease in humans and dogs.

Indexed as

Diabetes Mellitus, Type 1MetabolomicsAmino Acids, Branched-ChainAnimalsChromatography, LiquidDogsgamma-Aminobutyric AcidAmino Acids, Branched-Chaingamma-Aminobutyric AcidAnimal modelBiomarkersCanineDiabetesDog(s)MetabolitesMetabolomics

Identifiers

PMID34775536
PMCPMC8693811
OpenAlexW3212257350

What OpenQuestion holds

Textmetadata
LicenceTDM
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.