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Home / Equine Research Bank / Animals (Basel) / Clustering and Correlations amongst NEFA, Selected Adipokine...
Animals : an open access journal from MDPI2022; 12(20); 2863; doi: 10.3390/ani12202863

Clustering and Correlations amongst NEFA, Selected Adipokines and Morphological Traits-New Insights into Equine Metabolic Syndrome.

Abstract: Obesity is a common feature in horses suffering from metabolic syndrome. While adipokines involvement as biomarkers is better established in human pathology, little data are available on horses. This study aimed to investigate the possible association and relationship between selected metabolic parameters and morphological traits in equine metabolic syndrome. Adiposity was evaluated using body condition score (BCS) and cresty neck score (CNS). Plasma levels of total cholesterol, insulin, NEFA, and adipokines (omentin and chemerin) were determined using enzyme-linked immunosorbent assays. Spearman correlation, univariate linear regression analysis and hierarchical clustering were performed. Significant positive correlations were observed between NEFA and bodyweight (r = 0.322; = 0.006), BCS (r = 0.295; = 0.013), and CNS (r = 0.267; = 0.024), total cholesterol and bodyweight (r = 0.262; = 0.027), and omentin and CNS (r = 0.234; = 0.049). Cluster analysis supported these results and provided more details on the relationships between studied variables within and between the four resulting groups. These findings highlight NEFA, chemerin, and omentin as valuable biomarkers that could be further analyzed in other horse breeds for a better understanding of equine metabolic pathology.
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Publication Date: 2022-10-20 PubMed ID: 36290249PubMed Central: PMC9597785DOI: 10.3390/ani12202863Google Scholar: Lookup
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Summary

This research summary has been generated with artificial intelligence and may contain errors and omissions. Refer to the original study to confirm details provided. Submit correction.

The research article is about a study to investigate the link between certain metabolic parameters and physical features in horses suffering from metabolic syndrome, with data indicating NEFA, chemerin, and omentin as potential biomarkers.

Research Aim and Methodology

  • The aim of the research was to understand the association and relationship between defined metabolic parameters and physical traits, particularly in equine metabolic syndrome (EMS), a condition characterized by obesity and metabolic abnormalities in horses.
  • The researchers evaluated the level of body fat or adiposity in the horses using methods such as body condition score (BCS) and cresty neck score (CNS).
  • Samples of plasma were taken from these horses and tested for total cholesterol, insulin, non-esterified fatty acids (NEFA), and adipokines (omentin and chemerin) using enzyme-linked immunosorbent assays, a common laboratory technique.
  • Statistical methods such as Spearman correlation, univariate linear regression analysis, and hierarchical clustering were used to analyze the data gathered from these tests.

Findings of the Study

  • The study found significant positive correlations between NEFA and bodyweight, BCS, and CNS, indicating that as NEFA levels rise, so do these physical metrics. Similarly, a positive correlation was identified between total cholesterol and bodyweight, suggesting that increasing bodyweight leads to higher cholesterol levels.
  • The research also observed a correlation between the adipokine omentin and CNS, suggesting a possible relationship between this protein and the amount of fat in a horse’s neck.
  • Cluster analysis provided further detail on the relationships between the variables, both within and among the four groups that resulted from the data.

Conclusion and Implications

  • The main highlight of the research is its identification of NEFA, chemerin, and omentin as potential biomarkers in EMS. These biomarkers offer potential clues into the metabolic abnormalities seen in horses affected by the syndrome.
  • The results of this study could form a basis for further analysis in other horse breeds, contributing to a better understanding of equine metabolic ailments as a whole. Such understanding could, in turn, inform strategies to manage and treat EMS in horses.

Cite This Article

APA
Daradics Z, Niculae M, Crecan CM, Lupșan AF, Rus MA, Andrei S, Ciobanu DM, Cătoi FA, Pop ID, Mircean MV, Cătoi C. (2022). Clustering and Correlations amongst NEFA, Selected Adipokines and Morphological Traits-New Insights into Equine Metabolic Syndrome. Animals (Basel), 12(20), 2863. https://doi.org/10.3390/ani12202863

Publication

Animals : an open access journal from MDPI
ISSN: 2076-2615
NlmUniqueID: 101635614
Country: Switzerland
Language: English
Volume: 12
Issue: 20
PII: 2863

Researcher Affiliations

Daradics, Zsofia
  • Department of Pathology, Faculty of Veterinary Medicine, University of Agricultural Sciences and Veterinary Medicine, 400372 Cluj-Napoca, Romania.
Niculae, Mihaela
  • Department of Infectious diseases, Faculty of Veterinary Medicine, University of Agricultural Sciences and Veterinary Medicine, 400372 Cluj-Napoca, Romania.
Crecan, Cristian Mihăiță
  • Department of Anaesthesiology and Surgery, Faculty of Veterinary Medicine, University of Agricultural Sciences and Veterinary Medicine, 400372 Cluj-Napoca, Romania.
Lupșan, Alexandru Florin
  • Department of Anaesthesiology and Surgery, Faculty of Veterinary Medicine, University of Agricultural Sciences and Veterinary Medicine, 400372 Cluj-Napoca, Romania.
Rus, Mirela Alexandra
  • Department of Reproduction, Obstetrics and Veterinary Gynaecology, Faculty of Veterinary Medicine, University of Agricultural Sciences and Veterinary Medicine, 400372 Cluj-Napoca, Romania.
Andrei, Sanda
  • Department of Biochemistry, Faculty of Veterinary Medicine, University of Agricultural Sciences and Veterinary Medicine, 400372 Cluj-Napoca, Romania.
Ciobanu, Dana Mihaela
  • Department of Diabetes and Nutrition Diseases, Faculty of Medicine, Iuliu Hatieganu University of Medicine and Pharmacy, 400012 Cluj-Napoca, Romania.
Cătoi, Florinela Adriana
  • Department of Pathophysiology, Faculty of Medicine, Iuliu Hatieganu University of Medicine and Pharmacy, 400012 Cluj-Napoca, Romania.
Pop, Ioana Delia
  • Department of Exact Sciences, Faculty of Forestry and Cadastre, University of Agricultural Sciences and Veterinary Medicine, 400372 Cluj-Napoca, Romania.
Mircean, Mircea Valerian
  • Department of Internal Medicine, Faculty of Veterinary Medicine, University of Agricultural Sciences and Veterinary Medicine, 400372 Cluj-Napoca, Romania.
Cătoi, Cornel
  • Department of Pathology, Faculty of Veterinary Medicine, University of Agricultural Sciences and Veterinary Medicine, 400372 Cluj-Napoca, Romania.

Grant Funding

  • 546 / CSP VA

Conflict of Interest Statement

The authors declare no conflict of interest. The funders had no role in the design of the study, in the collection, analyses, or interpretation of data, in the writing of the manuscript, or in the decision to publish the results.

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Citations

This article has been cited 1 times.
  1. Omidi A, Rasooli A, Nazifi S, Heydari A, Seirafinia M. Relationship between morphometric measurements and blood parameters in horses with varying adiposity levels and physiological conditions. Vet Med Sci 2024 Nov;10(6):e70024.
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