对皱胃移位奶牛氧化应激参数、胃蛋白酶原和胰岛素样生长因子-1的评价

M. Mohammadi, Ala Taslimian Fasaii, Pouya Kiafar, S. Razavi, Ali Hajimohammai, A. Chalmeh
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摘要

高产奶牛经常发生皱胃移位(DA)。这是一种多因素疾病,对奶牛场有经济影响。本研究旨在探讨DA患者胃蛋白酶原、胰岛素样生长因子-1和氧化应激参数(丙二醛和一氧化氮)的水平。材料与方法:于2021年夏季从伊朗设拉子设拉子大学兽医诊所采集了51头疑似DA奶牛的血液样本。其中左侧DA (LDA) 20例,右侧DA (RDA) 6例,LDA合并皱胃溃疡临床症状13例,RDA合并皱胃溃疡临床症状3例,其中9例(3 ~ 5岁)临床健康作为对照。测定血清胃蛋白酶原、胰岛素样生长因子-1、丙二醛、一氧化氮的浓度。结果:本研究结果表明,与健康奶牛相比,DA奶牛胃蛋白酶原浓度较高。与其他组相比,LDA伴皱胃溃疡组丙二醛、一氧化氮和IGF-1浓度较高。结论:胃蛋白酶原可作为DA的预测指标。丙二醛、一氧化氮和IGF-1可以被认为是皱胃溃疡LDA的生物标志物。然而,需要进一步研究寻找其他有效的预测DA的参数。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Evaluating Oxidative Stress Parameters, Pepsinogen, and Insulin-like Growth Factor-1 in Dairy Cows with Displacement of Abomasum
Introduction: Displacement of the abomasum (DA) frequently occurs in high-producing dairy cows. It is a multifactorial disease and has an economic impact on dairy farms. This study aimed to investigate the levels of pepsinogen, Insulin-Like Growth Factor-1, and oxidative stress parameters (malondialdehyde and nitric oxide) in DA cases. Materials and methods: Blood samples were taken from 51 dairy cows suspected of DA, referring to the Veterinary Clinic of Shiraz University, Shiraz, Iran, in the summer of 2021. Twenty of them had Left DA (LDA), 6 had Right DA (RDA), 13 had LDA with clinical signs of ulcer of the abomasum, 3 had RDA with clinical signs of ulcer of the abomasum, and 9 of them (3-5 years old) were clinically healthy as control. The serum concentration of pepsinogen, Insulin-Like Growth Factor-1, malondialdehyde, and nitric oxide were measured. Results: The result of the current study showed that the concentration of pepsinogen was higher in cows with DA compared to healthy cows. The concentrations of malonaldehyde, nitric oxide, and IGF-1 were higher in LDA with the abomasal ulcer, compared to other groups.   Conclusion: Pepsinogen can be suggested as a predictor parameter for DA. Malonaldehyde, nitric oxide, and IGF-1 can be considered biomarkers in LDA with the abomasal ulcer. However, further studies are needed to find other effective parameters for predicting DA.
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