Occurrence of Polyphenols, Isoflavonoids, and Their Metabolites in Milk Samples from Different Cow Feeding Regimens

Q2 Agricultural and Biological Sciences Dairy Science & Technology Pub Date : 2022-05-06 DOI:10.3390/dairy3020024
G. Rocchetti, F. Ghilardelli, Martina Mosconi, F. Masoero, A. Gallo
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引用次数: 1

Abstract

In this work, milk samples collected in a cohort of intensive dairy farms of the Po Valley (Italy) were screened for their (poly)-phenolic profile to check the occurrence of phenolic metabolites of biological interest. The selected dairy farms were previously classified on the basis of their cow feeding system, considering the utilization of corn silage as the main ingredient of the rations. Overall, ultra-high-pressure liquid chromatography coupled with mass spectrometry using an Orbitrap analyzer, followed by unsupervised and supervised statistics, allowed identifying clear different phenolic distributions in the milk samples. Accordingly, a great variability in the phenolic profiles of the different milk samples was observed, with two main phenolic clusters outlined by the unsupervised hierarchical clustering approach and not fully correlated to the nutritional strategy considered. The variables’ importance in the projection approach allowed selecting the most important metabolites, resulting in samples’ discrimination. Among the most discriminative compounds, we found phenolic metabolites (such as hippuric acid and 4-hydroxyhippuric acid), followed by lignans (such as enterolactone) and isoflavonoids (such as equol and O-desmethylangolensin). Taken together, our findings suggested that both the feeding systems and the ability of dairy cows to process parent phenolic compounds were the main factors providing the final (poly)-phenolic profile of the milk samples. Future targeted and ad hoc studies appear of great interest to evaluate the potential biological effects of these compounds on cow health.
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不同奶牛喂养方案牛奶样品中多酚、异黄酮及其代谢物的存在
在这项工作中,从波谷(意大利)集约化奶牛场的队列中收集的牛奶样本进行了(多)酚谱筛选,以检查具有生物学意义的酚代谢产物的发生。选择的奶牛场之前是根据奶牛饲养系统进行分类的,考虑到玉米青贮饲料的利用是口粮的主要成分。总体而言,使用Orbitrap分析仪的超高压液相色谱与质谱相结合,然后进行无监督和有监督统计,可以清楚地识别牛奶样品中不同的酚类分布。因此,观察到不同牛奶样品的酚类特征存在很大差异,无监督分层聚类方法概述了两个主要的酚类簇,并且与所考虑的营养策略不完全相关。在投影方法中,变量的重要性允许选择最重要的代谢物,从而导致样本的区分。在最具鉴别性的化合物中,我们发现了酚类代谢物(如马尿酸和4-羟基马尿酸),其次是木脂素(如肠内酯)和异黄酮(如马酚和o -去甲基安古霉素)。综上所述,我们的研究结果表明,饲养系统和奶牛处理母体酚类化合物的能力是提供牛奶样品最终(多)酚类特征的主要因素。未来有针对性的和特别的研究似乎对评估这些化合物对奶牛健康的潜在生物学效应很有兴趣。
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来源期刊
Dairy Science & Technology
Dairy Science & Technology 农林科学-食品科技
CiteScore
2.30
自引率
0.00%
发文量
0
审稿时长
2 months
期刊介绍: Information not localized
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