基于LC-Q/TOF-MS代谢组学方法筛选奶牛妊娠识别阶段乳样生物标志物的研究

doi:10.11843/j.issn.0366-6964.2018.08.008

Abstract

Abstract:

This study aimed to select milk biomarkers of pregnancy recognition in dairy cows and provide a new insight and method for early pregnancy diagnosis. Ten healthy Holstein high yield dairy cows with similar body condition and parity were selected. All cows were oestrus synchronized and their milk samples were collected at day 0 and day 17 of artificial insemination. Metabolic profiles of the 2 groups of milk samples were recognized with LC-Q/TOF-MS metabolomics combined with principal component analysis (PCA) and orthogonal partial least squares-discriminant analysis (OPLS-DA); Differentiated metabolites for the 2 groups of milk samples were selected according to VIP values (VIP>1) from OPLS-DA model and P values (P<0.05) from Kruskal-Wallis test; Their discriminating ability to classification of the 2 groups of milk samples were further observed by ROC curve. The results showed that:1) Milk metabolic profiles at day 0 were obviously different from those at day 17 after artificial insemination. 2) Ten metabolites (mevalonolactone, tryptamine, L-tyrosine, dihydroneopterin phosphate, acetylcysteine, N-Acetyl-L-tyrosine, L-proline, 1BnTIQ, guanosine,heptadecanoyl carnitine) were first confirmed as differentiated metabolites between the 2 groups of milk samples. 3) Only 6 of the 10 differentiated metabolites including 1BnTIQ, N-Acetyl-L-tyrosine, L-tyrosine, guanosine, L-proline and heptadecanoyl carnitine had the obviously separating capacity for the 2 groups of milk samples and were finally viewed as potential milk biomarkers of pregnancy recognition. In conclusion, the 6 metabolites could be better indicators for dairy cows pregnancy diagnosis at pregnancy recognition stage, and provide a new insight into early pregnancy recognition mechanism.

CLC Number:

S823.9⁺1.2

GUO Yan-sheng, TAO Jin-zhong. Selection of Milk Biomarkers of Pregnancy Recognition in Dairy Cows Based on LC-Q/TOF-MS Metabolomics[J]. ACTA VETERINARIA ET ZOOTECHNICA SINICA, 2018, 49(8): 1633-1641.

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Selection of Milk Biomarkers of Pregnancy Recognition in Dairy Cows Based on LC-Q/TOF-MS Metabolomics

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