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血清对氧磷酶作为绵羊脂肪肝的一个指标

Serum Paraoxonase as an Indicator for Fatty Liver in Sheep.

作者信息

Cao Yu, Zhang Jiang, Yang Wei, Xia Cheng, Zhang Hong-You, Wang Yan-Hui, Xu Chuang

机构信息

Department of College of Animal Science and Veterinary Medicine, Heilongjiang Bayi Agricultural University, Daqing 163319, China.

出版信息

J Vet Res. 2017 Apr 4;61(1):97-102. doi: 10.1515/jvetres-2017-0012. eCollection 2017 Mar.

Abstract

INTRODUCTION

A model of fatty liver in postpartum sheep was established to measure blood paraoxonase 1 (PON1) and other biochemical indicators, which were used to predict fatty liver in sheep.

MATERIAL AND METHODS

Sheep were assigned into two experimental groups: a fatty liver group (T, n = 10) and a healthy control group (C, n = 5). PON1 enzyme activity towards paraoxon as a substrate was quantified spectrophotometrically. The results were analysed by -test and pearson correlation coefficient. Disease was predicted by binary logistic analysis, and diagnostic thresholds were determined by receiver operatingcharacteristic (ROC) analysis.

RESULTS

The activity of serum PON1 in group T was significantly decreased (P < 0.05) when compared with C group, and liver lipid content and the levels of serum BHBA, NEFA, and TG were significantly increased (P < 0.05). Thresholds were lower than 74.0 U/mL for PON1, higher than 0.97 mmol/L for β-hydroxybutyrate, higher than 1.29 mmol/L for non-esterified fatty acids, higher than 0.24 mmol/L for triglycerides, and lower than 71.35 g/L for total protein.

CONCLUSION

This study verified that PON1, BHBA, NEFA, TG, and TP could be used to predict the risk of fatty liver in sheep.

摘要

引言

建立产后绵羊脂肪肝模型以检测血液对氧磷酶1(PON1)及其他生化指标,用于预测绵羊脂肪肝。

材料与方法

将绵羊分为两个实验组:脂肪肝组(T组,n = 10)和健康对照组(C组,n = 5)。采用分光光度法对以对氧磷为底物的PON1酶活性进行定量测定。结果采用t检验和皮尔逊相关系数进行分析。通过二元逻辑回归分析预测疾病,并通过受试者工作特征(ROC)分析确定诊断阈值。

结果

与C组相比,T组血清PON1活性显著降低(P < 0.05),肝脂质含量以及血清β-羟基丁酸(BHBA)、非酯化脂肪酸(NEFA)和甘油三酯(TG)水平显著升高(P < 0.05)。PON1阈值低于74.0 U/mL,β-羟基丁酸高于0.97 mmol/L,非酯化脂肪酸高于1.29 mmol/L,甘油三酯高于0.24 mmol/L,总蛋白低于71.35 g/L。

结论

本研究证实PON1、BHBA、NEFA、TG和总蛋白(TP)可用于预测绵羊患脂肪肝的风险。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/27c7/5894408/3549cb591538/jvetres-61-097-g001.jpg

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