Nielsen S S, Gröhn Y T, Enevoldsen C
Department of Animal Science and Animal Health, The Royal Veterinary and Agricultural University, Grønnegårdevej 8, DK-1870 Frederiksberg C, Denmark.
J Dairy Sci. 2002 Nov;85(11):2795-802. doi: 10.3168/jds.S0022-0302(02)74366-X.
A longitudinal study was performed to determine the course of the milk antibody response in cows presumably infected with Mycobacterium avium subsp. paratuberculosis. Milk samples were collected repeatedly (1 to 10 times) from all lactating cows in seven Danish dairy herds. A total of 4,289 observations from 812 cows was analyzed after exclusion of samples collected after 280 days in milk (DIM). The level of antibodies in the milk samples was assessed using an indirect ELISA. A piece-wise linear random coefficient regression model was specified. The model controlled for the effect of herd, breed, laboratory effects, and age at first calving to estimate parity-specific antibody responses in relation to DIM. Separate antibody profiles were estimated for fecal culture-positive and fecal culture-negative cows. The resulting population average models showed higher antibody levels for fecal culture-positive cows and higher antibody levels with increasing parity. On average, the antibody response was high at the beginning and end of lactation. However, evaluating the cows individually indicated that most cows actually had quite stable ELISA levels throughout lactation, with some cows having higher levels than others. Thus, two criteria seem applicable to assess whether a cow is infected: stability and ELISA level. The random coefficients for each cow were highly significant. Thus, the study suggests that all cows can be classified into one of the four categories by combining the cow-level ELISA characteristics "stability" and "level" as an aid in the diagnosis ofparatuberculosis and thereby substantially increasing the sensitivity of the ELISA.
进行了一项纵向研究,以确定可能感染副结核分枝杆菌亚种的奶牛的乳汁抗体反应过程。从丹麦七个奶牛场的所有泌乳奶牛中反复采集乳汁样本(1至10次)。在排除产奶280天后采集的样本后,对来自812头奶牛的总共4289份观察样本进行了分析。使用间接ELISA评估乳汁样本中的抗体水平。指定了一个分段线性随机系数回归模型。该模型控制了牛群、品种、实验室效应和初产年龄的影响,以估计与产奶天数相关的特定胎次抗体反应。分别为粪便培养阳性和粪便培养阴性的奶牛估计了抗体谱。所得的总体平均模型显示,粪便培养阳性的奶牛抗体水平较高,且随着胎次增加抗体水平也较高。平均而言,泌乳开始和结束时抗体反应较高。然而,对奶牛个体进行评估表明,大多数奶牛在整个泌乳期的ELISA水平实际上相当稳定,有些奶牛的水平高于其他奶牛。因此,似乎有两个标准可用于评估奶牛是否感染:稳定性和ELISA水平。每头奶牛的随机系数非常显著。因此,该研究表明,通过将奶牛水平的ELISA特征“稳定性”和“水平”相结合,所有奶牛可分为四类之一,以辅助副结核的诊断,从而大幅提高ELISA的敏感性。