Md. Hanigan et al., ALTERNATIVE MODELS FOR ANALYSES OF LIVER AND MAMMARY TRANSORGAN METABOLITE EXTRACTION DATA, British Journal of Nutrition, 79(1), 1998, pp. 63-78
Alternative models for analyses of liver and mammary transorgan data w
ere formulated and fitted to liver and mammary data sets respectively.
The models considered metabolite inputs to and effluxes from an extra
cellular pool. In general, fits were greatly improved over previous ef
forts using other models (Miller et al. 1991a; Hanigan et al. 1992; Wr
ay-Cahen et al. 1997). Errors of prediction were generally less than 1
5 % for liver and less than 20 % for mammary glands. With the possible
exception of glutamine for the udder, all metabolites exhibited linea
r responses to extracellular concentrations within the observed ranges
of inputs. However, prediction biases were evident for beta-hydroxybu
tyrate, acetate, and propionate by liver and for arginine, histidine,
citrulline and glycerol by mammary tissue. These biases were hypothesi
zed to be caused by the existence of additional regulatory complexity.
With the exception of histidine, parameter estimates for essential am
ino acid removal by liver were 2-3-fold lower than for mammary gland.
Infusion of an amino acid mixture into the mesenteric vein did not alt
er parameter estimates for removal of amino acids by the liver. Treatm
ent of cows with bovine somatotropin resulted in changes in mammary pa
rameter estimates for aspartate, glutamate, leucine, phenylalanine, gl
ucose, and glycerol.