Metabogenomics reveals four candidate regions involved in the pathophysiology of Equine Metabolic Syndrome.
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 0.4) containing 63 genes. Significant genomic markers capture 43.52% of the variation in the original EMS score phenotype. The identified genomic loci provide insight into the pathways controlling variation in EMS and the origin of genetic predisposition to the condition. Rapid, feasible and accurate diagnostic tools derived from metabogenomics can be translated into measurable benefits in the timeline and quality of preventative management practices to preserve health in horses.
Copyright © 2020 Elsevier Ltd. All rights reserved.
Publication Date: 2020-07-10 PubMed ID: 32659253PubMed Central: PMC7494547DOI: 10.1016/j.mcp.2020.101620Google Scholar: Lookup The Equine Research Bank provides access to a large database of publicly available scientific literature. Inclusion in the Research Bank does not imply endorsement of study methods or findings by Mad Barn.
- Journal Article
- Research Support
- N.I.H.
- Extramural
- Research Support
- Non-U.S. Gov't
Summary
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The research analyses the genetic aspects of Equine Metabolic Syndrome (EMS) in Arabian horses using a global liquid chromatography/mass spectroscopy approach and identifies four genetic regions related to EMS.
Objective of the Research
- The aim of the research was to explore new techniques for identifying biochemical markers and related genes in Equine Metabolic Syndrome (EMS). The researchers used a composite score calculated from nine diagnostic variables to measure EMS risk.
Methodology and Data Collection
- The researchers collected whole plasma from 49 Arabian horses and applied a global liquid chromatography/mass spectroscopy technique known as High-Performance Liquid Chromatography/Mass Spectroscopy (HPLC/MS).
- The process resulted in identifying 3392 high-confidence features and potential metabolites in public databases.
- A genome-wide association analysis was performed using genotypes from the 670k Affymetrix Equine SNP array. The researchers used EMS-related metabolites as phenotypes in the analysis.
Results of the Research
- The analysis discovered four metabolite features significantly linked with the EMS score.
- The research results (P = 6.787 × 10, Bonferroni method) specified four unique candidate regions containing 63 genes, all of them significantly associated with EMS score.
- Noteworthy genomic markers accounted for nearly 43.52% of the variation in the initial EMS score.
Implication and Benefits of the Findings
- The identified genomic spots add valuable insight into the pathways controlling EMS variation and explain the genesis of the genetic inclination towards the syndrome.
- These new diagnostic tools, derived from metabogenomics, offer potential for quicker, more practical and accurate diagnosis.
- This may lead to improved preventative management practices, providing considerable enhancements in terms of the timeline and quality of health preservation in horses.
Cite This Article
APA
Patterson Rosa L, Mallicote MF, Long MT, Brooks SA.
(2020).
Metabogenomics reveals four candidate regions involved in the pathophysiology of Equine Metabolic Syndrome.
Mol Cell Probes, 53, 101620.
https://doi.org/10.1016/j.mcp.2020.101620 Publication
Researcher Affiliations
- Department of Animal Sciences, University of Florida, Gainesville, FL, United States of America, PO Box 110910, Gainesville, FL, 32611, USA.
- Department of Large Animal Clinical Sciences, College of Veterinary Medicine, University of Florida, PO Box 100136, Gainesville, FL, 32610, USA.
- Department of Infectious Diseases and Pathology, College of Veterinary Medicine, University of Florida, PO Box 100123, Gainesville, FL, 32610, USA.
- Department 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.
MeSH Terms
- Animals
- Chromatography, Liquid
- Feasibility Studies
- Female
- Genetic Markers
- Genetic Predisposition to Disease
- Genome-Wide Association Study
- Genomics / methods
- Horse Diseases / blood
- Horse Diseases / genetics
- Horses
- Male
- Mass Spectrometry
- Metabolic Syndrome / blood
- Metabolic Syndrome / genetics
- Metabolic Syndrome / veterinary
- Metabolomics / methods
Grant Funding
- U24 DK097209 / NIDDK NIH HHS
- U2C DK119886 / NIDDK NIH HHS
Conflict of Interest Statement
- Declarations of interest: none
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Citations
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