Pollott G E, Wilson K, Jerram L, Fowkes R C, Lawson C
Department of Production and Public Health, Royal Veterinary College, Royal College Street, London, NW1 0TU, UK.
Department of Comparative Biosciences, Royal Veterinary College, Royal College Street, London, NW1 0TU, UK.
J Dairy Sci. 2014;97(8):5017-22. doi: 10.3168/jds.2014-8036. Epub 2014 Jun 7.
Milk production from dairy animals has been described in terms of 3 processes: the increase in secretory cell numbers in late pregnancy and early lactation, secretion rate of milk per cell, and the decline in cell numbers as lactation progresses. This latter process is thought to be determined by the level of programmed cell death (apoptosis) found in the animal. Until now, apoptosis has been measured by taking udder biopsies, using magnetic resonance imaging scans, or using animals postmortem. This paper describes an alternative, noninvasive method for estimating apoptosis by measuring microparticles in milk samples. Microparticles are the product of several processes in dairy animals, including apoptosis. Milk samples from 12 Holstein cows, at or past peak lactation, were collected at 5 monthly samplings. The samples (n=57) were used to measure the number of microparticles and calculate microparticle density for 4 metrics: annexin V positive and merocyanine 540 dye positive, for both and total particles, in both whole milk (WM) and spun milk. Various measures of milk production were also recorded for the 12 cows, including daily milk yield, fat and protein percentage in the milk, somatic cell count, and the days in milk when the samples were taken. A high correlation was found between the 4 WM microparticle densities and days in milk (0.46 to 0.64), and a moderate correlation between WM microparticle densities and daily milk yield (-0.33 to -0.44). No significant relationships were found involving spun milk samples, somatic cell count, or fat and protein percentage. General linear model analyses revealed differences between cows for both level of microparticle density and its rate of change in late lactation. Persistency of lactation was also found to be correlated with the WM microparticle traits (-0.65 to -0.32). As apoptosis is likely to be the major contributor to microparticle numbers in late lactation, this work found a noninvasive method for estimating apoptosis that gave promising results. Further investigation is required to find out the factors affecting microparticle production and how it changes throughout lactation.
怀孕后期和泌乳初期分泌细胞数量的增加、单个细胞的产奶速率以及随着泌乳期推进细胞数量的减少。人们认为,后一个过程由动物体内的程序性细胞死亡(凋亡)水平决定。到目前为止,凋亡一直通过采集乳房活检组织、使用磁共振成像扫描或在动物死后进行测量。本文介绍了一种通过测量牛奶样本中的微粒来估计凋亡的非侵入性替代方法。微粒是奶牛体内多个过程的产物,包括凋亡。在5个每月一次的采样点,采集了12头处于泌乳高峰期或已过高峰期的荷斯坦奶牛的牛奶样本。这些样本(n = 57)用于测量微粒数量,并计算全脂牛奶(WM)和脱脂牛奶中4个指标的微粒密度:膜联蛋白V阳性和部花青540染料阳性,以及两者的总和和总微粒。还记录了这12头奶牛的各种产奶指标,包括日产奶量、牛奶中的脂肪和蛋白质百分比、体细胞计数以及采样时的泌乳天数。发现4种WM微粒密度与泌乳天数之间存在高度相关性(0.46至0.64),WM微粒密度与日产奶量之间存在中度相关性(-0.33至-0.44)。未发现与脱脂牛奶样本、体细胞计数或脂肪和蛋白质百分比有关的显著关系。一般线性模型分析显示,奶牛之间在微粒密度水平及其在泌乳后期的变化速率方面存在差异。还发现泌乳持续性与WM微粒特征相关(-0.65至-0.32)。由于凋亡可能是泌乳后期微粒数量的主要贡献因素,这项研究找到了一种估计凋亡的非侵入性方法,取得了有前景的数据。需要进一步研究以找出影响微粒产生的因素以及其在整个泌乳期的变化情况。