Evidence map›Paper›PMID 32659253›Full record

ArticleMolecular and cellular probes2020

Metabogenomics reveals four candidate regions involved in the pathophysiology of Equine Metabolic Syndrome.

Laura Patterson Rosa, Martha F Mallicote, Maureen T Long, Samantha A Brooks

Open access · greenAbstract read
In one paragraph

Article in Molecular and cellular probes, 2020. 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
1.8field-weighted citation impact, top 20% 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

10 citing papers in PubMed, 17 citations in OpenAlex.

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  8. Rewilded horses in European nature conservation - a genetics, ethics, and welfare perspective.Biological reviews of the Cambridge Philosophical Society · 2025
    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

4 authors at 1 institution in 1 country.

Laura Patterson RosaDepartment of Animal Sciences, University of Florida, Gainesville, FL, United States of America, PO Box 110910, Gainesville, FL, 32611, USA.
Martha F MallicoteDepartment of Large Animal Clinical Sciences, College of Veterinary Medicine, University of Florida, PO Box 100136, Gainesville, FL, 32610, USA.
Maureen T LongDepartment of Infectious Diseases and Pathology, College of Veterinary Medicine, University of Florida, PO Box 100123, Gainesville, FL, 32610, USA.
Samantha A BrooksDepartment of Animal Sciences and UF Genetics Institute, University of Florida, Gainesville, FL, United States of America, PO Box 110910, Gainesville, FL, 32611, USA. Electronic address: samantha.brooks@ufl.edu.
University of Florida · US

Funding

National Metabolomics Data Repository - nextgen Metabolomics WorkbenchU2CDK119886 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI SUBRAMANIAM, SHANKAR · 2018 to 2021
$12.7M
Southeast Resource Center for Integrated Metabolomics (SECIM)U24DK097209 · NIDDK · UNIVERSITY OF FLORIDA · PI EDISON, ARTHUR S, YOST, RICHARD A. · 2013 to 2017
$9.2M
NIDDK NIH HHS U24 DK097209NIDDK NIH HHS U2C DK119886
6 · The paper itself

Abstract

An analogous condition to human metabolic syndrome, Equine Metabolic Syndrome (EMS) is defined by several clinical signs including obesity, hyperinsulinemia, and peripheral insulin dysregulation (ID). Affected horses may also exhibit hypertension, hyperlipemia and systemic inflammation. Measures of ID typically comprise the gold-standard for diagnosis in veterinary care. Yet, the dynamic nature of insulin homeostasis and complex procedures of typical assays make accurate quantification of ID and EMS challenging. This work aimed to investigate new strategies for identification of biochemical markers and correlated genes in EMS. To quantify EMS risk within this population, we utilized a composite score derived from nine common diagnostic variables. We applied a global liquid chromatography/mass spectroscopy approach (HPLC/MS) to whole plasma collected from 49 Arabian horses, resulting in 3392 high-confidence features and identification of putative metabolites in public databases. We performed a genome wide association analysis with genotypes from the 670k Affymetrix Equine SNP array utilizing EMS-correlated metabolites as phenotypes. We discovered four metabolite features significantly correlated with EMS score (P < 1.474 × 10

Indexed as

Genetic MarkersAnimalsChromatography, LiquidFeasibility StudiesFemaleGenetic Predisposition to DiseaseGenome-Wide Association StudyGenomicsHorse DiseasesHorsesMaleMass SpectrometryMetabolic SyndromeMetabolomicsGenetic MarkersArabian horseHorsesLaminitisMetabogenomicsMetabolic syndrome

Identifiers

PMID32659253
PMCPMC7494547
OpenAlexW3041087427

What OpenQuestion holds

Textmetadata
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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.