Daradics Zsofia, Niculae Mihaela, Crecan Cristian Mihăiță, Lupșan Alexandru Florin, Rus Mirela Alexandra, Andrei Sanda, Ciobanu Dana Mihaela, Cătoi Florinela Adriana, Pop Ioana Delia, Mircean Mircea Valerian, Cătoi Cornel
Department of Pathology, Faculty of Veterinary Medicine, University of Agricultural Sciences and Veterinary Medicine, 400372 Cluj-Napoca, Romania.
Department of Infectious diseases, Faculty of Veterinary Medicine, University of Agricultural Sciences and Veterinary Medicine, 400372 Cluj-Napoca, Romania.
Animals (Basel). 2022 Oct 20;12(20):2863. doi: 10.3390/ani12202863.
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.
肥胖是患有代谢综合征马匹的一个常见特征。虽然脂肪因子作为生物标志物在人类病理学中的作用已得到更充分的确立，但关于马匹的数据却很少。本研究旨在调查马代谢综合征中选定的代谢参数与形态特征之间可能的关联和关系。使用体况评分（BCS）和颈部嵴状脂肪评分（CNS）评估肥胖程度。采用酶联免疫吸附测定法测定血浆总胆固醇、胰岛素、非酯化脂肪酸（NEFA）和脂肪因子（网膜素和趋化素）的水平。进行了Spearman相关性分析、单变量线性回归分析和层次聚类分析。观察到NEFA与体重（r = 0.322；P = 0.006）、BCS（r = 0.295；P = 0.013）和CNS（r = 0.267；P = 0.024）之间存在显著正相关，总胆固醇与体重（r = 0.262；P = 0.027）之间存在显著正相关，网膜素与CNS（r = 0.234；P = 0.049）之间存在显著正相关。聚类分析支持了这些结果，并提供了关于四个结果组内和组间研究变量之间关系的更多细节。这些发现突出了NEFA、趋化素和网膜素作为有价值的生物标志物，可在其他马品种中进一步分析，以更好地理解马的代谢病理学。
