Tessman R K, Tyler J W, Parish S M, Johnson D L, Gant R G, Grasseschi H A
Department of Veterinary Clinical Sciences, College of Veterinary Medicine, Washington State University, Pullman 99164-7010, USA.
J Am Vet Med Assoc. 1997 Nov 1;211(9):1163-4.
To develop an algorithm for predicting passive transfer status of lambs of various ages, using the lamb's age and serum gamma-glutamyltransferase (GGT) activity.
Prospective study.
51 Suffolk, Columbia, and crossbred lambs from 1 to 16 days old.
Serum was obtained from all lambs. Serum GGT activity was measured, using a commercially available kit. Serum IgG concentration was determined by use of radial immunodiffusion. Day-1 serum IgG concentration was estimated from sample IgG concentration, lamb age, and the published 14-day half-life of IgG in lambs. Stepwise multivariate regression models were developed to estimate day-1 serum IgG concentration as a function of the natural logarithm of serum GGT activity (In[GGT]) and natural logarithm of lamb age (In[age]) at the time of sampling. These regression models were then used to calculate serum GGT activities that were equivalent to various day-1 IgG concentrations in lambs of various ages.
In(GGT) and In(age) were significantly associated with estimated day-1 IgG concentration. Day-1 serum IgG concentration could be predicted using the formula: IgG = -7,686 + 1,366(In[GGT]) + 1,199(In[age]). The model was moderately accurate in predicting serum IgG concentration (R2 = 0.52).
Serum GGT activity can be used to assess passive transfer status of lambs.
利用羔羊年龄和血清γ-谷氨酰转移酶(GGT)活性,开发一种预测不同年龄羔羊被动转运状态的算法。
前瞻性研究。
51只1至16日龄的萨福克、哥伦比亚及杂交羔羊。
采集所有羔羊的血清。使用市售试剂盒测定血清GGT活性。采用放射免疫扩散法测定血清IgG浓度。根据样本IgG浓度、羔羊年龄以及已发表的羔羊IgG 14天半衰期估算第1天的血清IgG浓度。建立逐步多元回归模型,以估算采样时血清GGT活性的自然对数(In[GGT])和羔羊年龄的自然对数(In[年龄])与第1天血清IgG浓度之间的函数关系。然后使用这些回归模型计算与不同年龄羔羊各种第1天IgG浓度相当的血清GGT活性。
In(GGT)和In(年龄)与估算的第1天IgG浓度显著相关。可使用以下公式预测第1天的血清IgG浓度:IgG = -7,686 + 1,366(In[GGT])+ 1,199(In[年龄])。该模型在预测血清IgG浓度方面具有中等准确性(R2 = 0.52)。
血清GGT活性可用于评估羔羊的被动转运状态。