Sheedy David B, Golder Helen M, Garcia Sergio C, Liu Zhiqian, Moate Peter, Reddy Priyanka, Rochfort Simone J, Pryce Jennie E, Lean Ian J
School of Life and Environmental Sciences, Faculty of Science, The University of Sydney, Camden, New South Wales 2570, Australia; Scibus, Camden, New South Wales 2570, Australia.
School of Life and Environmental Sciences, Faculty of Science, The University of Sydney, Camden, New South Wales 2570, Australia; Scibus, Camden, New South Wales 2570, Australia.
J Dairy Sci. 2025 Mar;108(3):2897-2913. doi: 10.3168/jds.2024-25578. Epub 2024 Dec 6.
Efforts to optimize the longevity of dairy cows are hindered by the increased risk of adverse health events, culling, or dying on farm with increased parity. Lipidomics provides a platform to help identify important biomarkers and biological pathways associated with increased parity and associated aging. A large multisite (15 pasture-based, 15 TMR farms) cross-sectional study collected plasma samples from nonlactating, late pregnant, dry cows (n = 696, ∼27 d prepartum) and peak milk cows (n = 796, ∼58 DIM) in a disproportionate stratified random sampling frame (parity: 0, 1, 2, >2 for dry cows; 1, 2, 3, >3 for peak milk cows). A total of 185 lipid species, comprising the lipids classes of phospholipids, sphingomyelins (SM) and triacylglycerols, were quantified in a targeted, liquid chromatography-MS approach. Dry and peak milk cohorts were analyzed separately throughout. Variation in lipid profiles were mostly attributed to farm of origin (36%-41% of variation), with feeding system explaining 13% to 21% and parity explaining 6% to 9%, according to ANOVA simultaneous component analysis modeling. Multiple linear regression and orthogonal partial least squares (O-PLS) investigated the association of the lipid profile with age (d), whereas discriminant analysis compared first parity with >3 parity cows in O-PLS discriminant analysis, random forest, and support vector machine models. Rankings of the most important lipid species for each model type were compared. Phospholipids with 40 carbon atoms and 6 double bond equivalents (40:6) were consistently decreased with increasing parity and age across both dry and peak milk cohorts. These lipids most likely contained stearate (18:0) and docosahexaenoic acid (DHA, C22:6n-3), an n-3 fatty acid. Additionally, phospholipids with 40:5 and 38:6, lysophosphatidylcholine (17:0), SM(35:1), and SM(35:2) were commonly identified lipids that decreased in concentration with parity and age. Docosahexaenoic acid has been associated with improved cattle health, reproduction, and milk production and quality. This study raises the hypothesis that reduced DHA levels in older cows may be an important factor increasing susceptibility to adverse health events, reduced reproductive performance, and herd removal. Studies that supplement DHA or its precursors can test this hypothesis and may be important in optimizing longevity of cows.
随着胎次增加,奶牛出现不良健康事件、被淘汰或在农场死亡的风险也会增加,这阻碍了优化奶牛寿命的努力。脂质组学提供了一个平台,有助于识别与胎次增加及相关衰老有关的重要生物标志物和生物途径。一项大型多地点(15个牧场型、15个全混合日粮型农场)横断面研究,在一个不成比例分层随机抽样框架中(干奶牛的胎次:0、1、2、>2;产奶高峰期奶牛的胎次:1、2、3、>3),采集了非泌乳、怀孕后期、干奶牛(n = 696,产前约27天)和产奶高峰期奶牛(n = 796,产犊后约58天)的血浆样本。采用靶向液相色谱 - 质谱法对总共185种脂质进行了定量分析,这些脂质包括磷脂、鞘磷脂(SM)和三酰甘油等脂质类别。在整个过程中分别对干奶牛和产奶高峰期奶牛队列进行了分析。根据方差分析同时成分分析模型,脂质谱的变化大多归因于养殖场来源(变异的36% - 41%),饲养系统解释了13% - 21%,胎次解释了6% - 9%。多元线性回归和正交偏最小二乘法(O - PLS)研究了脂质谱与年龄(天)的关联,而判别分析在O - PLS判别分析、随机森林和支持向量机模型中比较了初产奶牛和胎次>3的奶牛。比较了每种模型类型中最重要脂质的排名。在干奶牛和产奶高峰期奶牛队列中,具有40个碳原子和6个双键等效物(40:6)的磷脂随着胎次和年龄的增加持续减少。这些脂质很可能含有硬脂酸(18:0)和二十二碳六烯酸(DHA,C22:6n - 3),一种n - 3脂肪酸。此外,具有40:5和38:6的磷脂、溶血磷脂酰胆碱(17:0)、SM(35:1)和SM(35:2)是常见的脂质,其浓度随着胎次和年龄的增加而降低。二十二碳六烯酸与改善奶牛健康、繁殖以及产奶量和质量有关。本研究提出了一个假设,即老年奶牛体内DHA水平降低可能是增加对不良健康事件易感性、降低繁殖性能以及导致牛群淘汰的一个重要因素。补充DHA或其前体的研究可以验证这一假设,并且可能对优化奶牛寿命很重要。