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Physiology, regulation and multifunctional activity of the gut wall: a rationale for multicompartmental modelling

Published online by Cambridge University Press:  01 December 2006

A. Bannink*
Affiliation:
Wageningen University Research Centre, Animal Sciences Group, Department of Animal Production, PO Box 65, 8200 AB Lelystad, The Netherlands
J. Dijkstra
Affiliation:
Wageningen University, Animal Nutrition Group, PO Box 338, 6700 AH Wageningen, The Netherlands
S.-J. Koopmans
Affiliation:
Wageningen University Research Centre, Animal Sciences Group, Department of Animal Production, PO Box 65, 8200 AB Lelystad, The Netherlands
Z. Mroz
Affiliation:
Wageningen University Research Centre, Animal Sciences Group, Department of Animal Production, PO Box 65, 8200 AB Lelystad, The Netherlands
*
*Corresponding author: Dr André Bannink, fax +31 237320, email andre.bannink@wur.nl
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Abstract

A rationale is given for a modelling approach to identify the mechanisms involved in the functioning and metabolic activity of tissues in the wall of the gastrointestinal tract. Maintenance and productive functions are discussed and related to the distinct compartments of the gastrointestinal tract and the metabolic costs involved. Functions identified are: tissue turnover; tissue proliferation; ion transport; nutrient transport; secretions of digestive enzymes, mucus and immunoglobulins; production of immune cells. The major nutrients involved include glucose, amino acids and volatile fatty acids. In vivo measurements of net portal fluxes of these nutrients in pigs and ruminants are evaluated to illustrate the complexity of physiology and metabolic activity of the gastrointestinal tract. Experimental evidence indicates that high, but variable and specific, nutrient costs are involved in the functioning of the gastrointestinal tract.

Information

Type
Research Article
Copyright
Copyright © The Authors 2006
Figure 0

Fig. 1 Different levels of organisation in relation to representing nutrient metabolism by tissues of the gastrointestinal wall.

Figure 1

Fig. 2 Schematic representation of distinct cell types in the intestinal mucosa (derived from Pabst & Rothkötter, 1998).

Figure 2

Fig. 3 Schematic representation of the modelling approach at different levels of organisation: the animal, the gastrointestinal tract (GIT) and tissue of the gastrointesinal wall (GIW). A distinction is proposed between model input being nutrient inputs and parameters for the physiological state of the GIT and its productive functions; model representation being the intracellular biochemical pathways of nutrient utilisation, and model output being the nutrient supply to portal blood and apparent nutrient utilisation by the GIW.

Figure 3

Fig. 4 Schematic representation of the modelling approach to explain nutrient metabolism (A) from intracellular biochemical pathways of nutrient utilisation, and (B) as a function of nutrient supply and physiological functions of tissues of the gastrointestinal wall (GIW). In (A) thick lines indicate nutrient inputs and outputs; thin lines indicate intracellular metabolism and productive functions; boxes indicate intracellular pools of nutrients and metabolites; productive functions are indicated which are involved with tissue turnover, tissue growth and proliferation, secretions and the immune response. EAA, essential amino acids; NEAA, non-essential amino acids; (○), ATP production; (●), ATP utilisation; (□), NADH and H+ production; (■), NADH and H+ utilisation. For details on the distinction between model inputs, model representation and model outputs, see Fig. 3.

Figure 4

Table 1 Protein content, and fractional and absolute rate of protein synthesis in various organs and tissues of a pig of 44 kg body weight (results derived from Simon, 1989)

Figure 5

Table 2 Fractional rate of protein synthesis in various organs of sheep on two levels of feed intake (results derived from Lobley et al.1994)

Figure 6

Fig. 5 Comparison of enzyme assays in rumen epithelium by Harmon et al. (1991;, , ) and Ash & Baird (1973; □, Δ, ○). The effect of inhibiting volatile fatty acid (VFA) on the activity of VFA activation is demonstrated by a double-reciprocal plot of Co-synthetase activity (V; μmol/g tissue per min) and VFA concentration of the activated VFA type (S; mmol/l) (A). (B) Acetate (, □, Ac); (C) propionate (, Δ, Pr); (D) butyrate (, ○, Bu). Codes and numbers that guide the symbols indicate the type and concentration (mmol/l) of inhibiting VFA (absence of a guiding code indicates absence of inhibiting VFA). The graphs were derived from Bannink et al. (2000).

Figure 7

Table 3 Measurements of net flux of volatile fatty acids (VFA) in portal blood expressed as a percentage of the quantity formed in the rumen (after Rémond et al.1995), or as a percentage of metabolisable energy intake (after Kristensen et al.1998a)

Figure 8

Table 4 Estimated energy costs associated with the active or facilitated transport of ions and nutrients (based on Gill et al.1989; Baldwin, 1995; Gerrits et al.1997)

Figure 9

Fig. 6 Schematic representation of the transport of volatile fatty acids (VFA) and ions in rumen epithelium (Bannink et al.2006a; adapted from Gäbel et al.2002).

Figure 10

Fig. 7 Schematic representation of the modelling approach including the anatomical compartmentalisation of the gastrointestinal tract (GIT) and of the tissues of the gastrointestinal wall (GIW). For details on the distinction between model inputs, model representation and model outputs, see Fig. 3.

Figure 11

Table 5 Influence of type and amount of glucose (GLU) source and body weight on the net portal flux of GLU in growing pigs

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Table 6 Influence of protein source, amount of protein source and body weight on net portal flux of protein in growing pigs

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Table 7 Portal appearance of individual amino acids (AA) in the pig trials presented in Table 6

Figure 14

Table 8 Disappearance from the gastrointestinal tract and the appearance (g/d) of essential amino acids (EAA), non-essential amino acids (NEAA), total amount of amino acids (TAA) in the mesenteric vein (MDV) and portal vein (PDV) and in milk of dairy cows (after Berthiaume et al.2001)