Determination of lipid profiles in serum of obese ponies before and after weight reduction by using multi-one-dimensional thin-layer chromatography

Auyyuenyong, Ratchada; Henze, Andrea; Ungru, Julia; Schweigert, Florian J.; Raila, Jens; Vervuert, Ingrid

doi:10.1016/j.rvsc.2017.11.013

Cited by 5 publications

(1 citation statement)

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“…The impact of bodyweight changes on insulin sensitivity in obese equines is also the subject of debate. While intensive bodyweight loss (1% of bodyweight per week) has been reported to improve insulin sensitivity in ponies [ 36 ], other studies reported no such effect in either insulin-sensitive or insulin-resistant ponies under a bodyweight reduction program [ 45 , 46 ].…”

Section: Discussionmentioning

confidence: 99%

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

Daradics

Niculae

Crecan

et al. 2022

Animals

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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; p = 0.006), BCS (r = 0.295; p = 0.013), and CNS (r = 0.267; p = 0.024), total cholesterol and bodyweight (r = 0.262; p = 0.027), and omentin and CNS (r = 0.234; p = 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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Section: Discussionmentioning

confidence: 99%