Journal article
Use of age and serum gamma-glutamyltransferase activity to assess passive transfer status in lambs
Journal of the American Veterinary Medical Association, Vol.211(9), pp.1163-1164
11/01/1997
Handle:
https://hdl.handle.net/2376/106883
PMID: 9364233
Abstract
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.
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Details
- Title
- Use of age and serum gamma-glutamyltransferase activity to assess passive transfer status in lambs
- Creators
- R K Tessman - Department of Veterinary Clinical Sciences, College of Veterinary Medicine, Washington State University, Pullman 99164-7010, USAJ W TylerS M ParishD L JohnsonR G GantH A Grasseschi
- Publication Details
- Journal of the American Veterinary Medical Association, Vol.211(9), pp.1163-1164
- Publisher
- United States
- Identifiers
- 99900546868701842
- Language
- English
- Resource Type
- Journal article