Evidence map›Paper›PMID 35351920›Full record

ArticleScientific reports2022

Metabolomic serum abnormalities in dogs with hepatopathies.

Carolin A Imbery, Frank Dieterle, Claudia Ottka, Corinna Weber, Götz Schlotterbeck, Elisabeth Müller, Hannes Lohi, Urs Giger

Open access · goldAbstract 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 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.6field-weighted citation impact, top 10% 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

12 citing papers in PubMed, 18 citations in OpenAlex.

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  8. 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
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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

8 authors at 5 institutions in 4 countries.

Carolin A ImberyVetsuisse Faculty, University of Zürich, 8057, Zürich, Switzerland. carolinanna.imbery@uzh.ch.
Frank DieterleInstitute for Chemistry and Bioanalytics, School of Life Sciences, University of Applied Sciences Northwestern Switzerland, 4132, Muttenz, Switzerland.
Claudia OttkaPetMeta Labs Oy, 00300, Helsinki, Finland.
Corinna WeberLaboklin GmbH & Co. KG, 97688, Bad Kissingen, Germany.
Götz SchlotterbeckInstitute for Chemistry and Bioanalytics, School of Life Sciences, University of Applied Sciences Northwestern Switzerland, 4132, Muttenz, Switzerland.
Elisabeth MüllerLaboklin GmbH & Co. KG, 97688, Bad Kissingen, Germany.
Hannes LohiPetMeta Labs Oy, 00300, Helsinki, Finland.
Urs GigerVetsuisse Faculty, University of Zürich, 8057, Zürich, Switzerland. giger@upenn.edu.
FHNW University of Applied Sciences and Arts · CHFolkhälsans Forskningscentrum · FILaboklin (Germany) · DEUniversity of Pennsylvania · USUniversity of Zurich · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hepatopathies can cause major metabolic abnormalities in humans and animals. This study examined differences in serum metabolomic parameters and patterns in left-over serum samples from dogs with either congenital portosystemic shunts (cPSS, n = 24) or high serum liver enzyme activities (HLEA, n = 25) compared to control dogs (n = 64). A validated targeted proton nuclear magnetic resonance spectroscopy platform was used to assess 123 parameters. Principal component analysis of the serum metabolome demonstrated distinct clustering among individuals in each group, with the cluster of HLEA being broader compared to the other groups, presumably due to the wider spectrum of hepatic diseases represented in these samples. While younger and older adult control dogs had very similar metabolomic patterns and clusters, there were changes in many metabolites in the hepatopathy groups. Higher phenylalanine and tyrosine concentrations, lower branched-chained amino acids (BCAAs) concentrations, and altered fatty acid parameters were seen in cPSS dogs compared to controls. In contrast, dogs with HLEA had increased concentrations of BCAAs, phenylalanine, and various lipoproteins. Machine learning based solely on the metabolomics data showed excellent group classification, potentially identifying a novel tool to differentiate hepatopathies. The observed changes in metabolic parameters could provide invaluable insight into the pathophysiology, diagnosis, and prognosis of hepatopathies.

Indexed as

Dog DiseasesLiver DiseasesVascular MalformationsAnimalsDogsMetabolomeMetabolomics

Identifiers

PMID35351920
PMCPMC8964695
OpenAlexW4221079239

What OpenQuestion holds

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LicenceCC BY
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.