基于UHPLC-QTOF-MS代谢组学方法筛选奶牛不同妊娠状态时的候选生物标志物

doi:10.11843/j.issn.0366-6964.2021.011.013

摘要/Abstract

摘要： 旨在筛选人工授精后第17天奶牛在不同妊娠状态时的候选生物标志物。本研究以宁夏某奶牛场体重为（550±50） kg，体况评分相近的经产（2~3胎次）健康荷斯坦奶牛为试验对象。同期发情后，在人工授精后第17天晨饲前对奶牛进行尾静脉采血，后期采用计步器和B超仪诊断出奶牛的妊娠状态。根据诊断结果将奶牛分为妊娠组（A组，n=12）和未妊娠返情组（B组，n=24），将这两组血样进行代谢轮廓及代谢物变化分析。主成分分析（PCA）和正交偏最小二乘法-判别分析（OPLS-DA）结果显示，A、B两组血浆代谢轮廓均发生了明显变化，A、B两组之间共检测出8种ROC （Receiver operating characteristic curve）曲线下面积（area under the ROC curve，AUC）＞0.8的差异代谢物。丙氨酸-亮氨酸、甘氨酸、脯氨酸、L-正亮氨酸、DL-苯丙氨酸、肌氨酸、吡咯-2-羧酸和缬氨酸-蛋氨酸有望成为识别妊娠组（A组）和未妊娠返情组（B组）的差异代谢物。综上表明，血浆中的这8种代谢物有望成为奶牛妊娠识别阶段潜在的生物标志物，为配种早期妊娠识别提供新思路。

关键词: 荷斯坦奶牛, 妊娠识别, 代谢组学, 生物标志物

Abstract: This study aimed to select candidate biomarkers for different pregnancy status of cows on 17 days after artificial insemination. Healthy Holstein dairy cow with a weight of (550±50)kg and similar body condition scores in a dairy farm in Ningxia was used as the test object. After synchronization of estrus, blood was collected from tail vein before morning feeding on the 17th day after artificial insemination. Pregnancy status of cows was diagnosed by pedometer and B-ultrasound instrument at the later stage. According to the diagnosis results, cows were divided into pregnant group (group A, n=12) and non-pregnant return to estrus group (group B, n=24). Blood samples from the two groups were collected for analyzing metabolic profile and metabolites change. Principal component analysis (PCA) and orthogonal partial least squares-discriminant analysis (OPLS-DA) showed that the plasma metabolic profile of group A and B were significantly changed. A total of 8 differential metabolites with area under the ROC curve (AUC)> 0.8 were selected. Ala-Leu, Glycine, L-Proline, L-Norleucine, DL-Phenylalanine, Sarcosine, Pyrrole-2-carboxylic acid and Val-Met were expected to be the different metabolites for the identification of pregnancy cows (group A) and non-pregnant return to estrus cows (group B). In conclusion, the 8 metabolites in plasma could be used as potential biomarkers in the pregnancy recognition period, which could provide new ideas for early pregnancy diagnosis.

Key words: Holstein cows, pregnancy recognition, metabolomics, biomarkers

中图分类号:

S823.3

罗芳, 陶金忠. 基于UHPLC-QTOF-MS代谢组学方法筛选奶牛不同妊娠状态时的候选生物标志物[J]. 畜牧兽医学报, 2021, 52(11): 3118-3125.

LUO Fang, TAO Jinzhong. Screen of Candidate Biomarkers for Different Pregnancy Status of Cows Based on UHPLC-QTOF-MS Metabolomics[J]. Acta Veterinaria et Zootechnica Sinica, 2021, 52(11): 3118-3125.

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