The relationships between intake and net portal fluxes of energy metabolites in ruminants: A meta-analysis

Bermingham, Emma N.; Nozière, Pierre; Vernet, Jean; Lapierre, H.; Léger, Stéphanie; Sauvant, Daniel; Ortigues-Marty, I.

doi:10.1016/j.anifeedsci.2007.05.003

Cited by 15 publications

(19 citation statements)

References 57 publications

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“…In the relationships of PBF v. MEI (Ré mond et al (1998) and Bermingham et al (2008) in sheep, and Huntington (1990) in cattle), MEI (kJ/kg BW per day) ranges were comparable to those in the present study. In sheep, similar slopes were obtained in the present study compared with those of Ré mond et al (1998) with MEI above maintenance, and by Bermingham et al (2008) with DMI below and above maintenance. The slopes in sheep were lower than those in cattle (Huntington, 1990).…”

Section: Methodssupporting

confidence: 86%

“…The slopes in sheep were lower than those in cattle (Huntington, 1990). Species differences (sheep v. cattle) have already been noted (Vernet et al, 2005a;Bermingham et al, 2008), but the origin of these differences (strict species differences or indirect effects due to dietary differences between species) has not been identified. In the hepatic vein, because of differences in levels of intake, comparisons with published relationships were not possible.…”

Section: Methodsmentioning

confidence: 84%

“…When not reported in the papers, the values of HABF were calculated by difference between hepatic and portal venous blood flows. Intake and blood flow were expressed as a function of body weight (BW 1.0 ), to allow the comparison of results between cattle and sheep (Vernet et al, 2005a;Bermingham et al, 2008).…”

Section: Methodsmentioning

confidence: 99%

“…Increase of hepatic blood flows with intake Blood flows in the portal vein are known to increase with intake (Webster et al, 1975;Ortigues, 1991;Rémond et al, 1998;Bermingham et al, 2008). On average during the day this increase seems to be related primarily to a bulk effect of feed intake rather than the nutrient supply (Han et al, 2002).…”

Section: Methodsmentioning

confidence: 99%

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Responses of hepatic blood flows to changes in intake in sheep: a meta-analysis

Vernet

Nozière²,

Léger³

et al. 2009

Animal

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This work set out to establish the response equations for hepatic blood flows in sheep and the contribution of hepatic arterial flow to hepatic venous blood flow due to changes in intake levels at constant diet composition. The FLORA (FLuxes across Organs and tissues in Ruminant Animals) database was used, and meta-analysis performed. The meta-analysis involved selection of published papers, identification of studies, description and coding of the selected dataset and statistical analysis using a covariance model. Meta-analyses were carried out using a within-study approach. To ensure absence of bias, the analysis incorporated interfering variables and factors studied in between-study comparisons. Variables concerned diet composition; qualitative factors concerned the physiological state of the animals and the methods used to measure blood flow. The results obtained showed that hepatic blood flows were positively related to intake in sheep. The magnitude of the response (as indicated by the slope) varied with the level of intake and the blood vessel (portal, hepatic venous or arterial). Nine linear relationships were established for the portal, hepatic venous and arterial blood flows as a function of dry matter intake (DMI) with below-and above-maintenance levels considered separately. Data obtained at below-and above-maintenance levels were considered together and four quadratic relationships were established for hepatic blood flows as a function of DMI. These relationships expressed a strong effect of intake on hepatic blood flows. The contribution of hepatic arterial to hepatic venous blood flow averaged 18.2%, with a wide variability. It did not vary significantly with level of intake. Although in between-study comparisons the arterial/venous blood flow was positively influenced by the organic matter digestibility of the diet, the relationships we obtained were robust. They can be used in models of net hepatic nutrient fluxes to predict variations and absolute values of hepatic blood flows from variations and absolute values of DMI.

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Section: Methodssupporting

confidence: 86%

Section: Methodsmentioning

confidence: 84%

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

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Responses of hepatic blood flows to changes in intake in sheep: a meta-analysis

Vernet

Nozière²,

Léger³

et al. 2009

Animal

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“…In ruminants, the increment in whole-animal energy expenditure with increased intake originates mainly from the PDV (17% to 61%) and the liver (16% to 44%) rather than from the muscle mass (5% to 7%) (Figure 1). Modelling approaches are now being applied to these results and clear curvilinear response equations of splanchnic energy expenditure to increasing intake have been quantified in sheep and cattle (Bermingham et al, 2007).…”

Section: Effect Of Nutrition Levelmentioning

confidence: 99%

Responses to nutrients in farm animals: implications for production and quality

Hocquette

Tesseraud

Cassar-Malek

et al. 2007

Animal

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It is well known that any quantitative (energy and protein levels) and qualitative (nature of the diet, nutrient dynamic) changes in the feeding of animals affect metabolism. Energy expenditure and feed efficiency at the whole-body level, nutrient partitioning between and within tissues and organs and, ultimately, tissue and organ characteristics are the major regulated traits with consequences on the quality of the meat and milk produced. Recent progress in biology has brought to light important biological mechanisms which explain these observations: for instance, regulation by the nutrients of gene expression or of key metabolic enzyme activity, interaction and sometimes cross-regulation or competition between nutrients to provide free energy (ATP) to living cells, indirect action of nutrients through a complex hormonal action, and, particularly in herbivores, interactions between trans-fatty acids produced in the rumen and tissue metabolism. One of the main targets of this nutritional regulation is a modification of tissue insulin sensitivity and hence of insulin action. In addition, the nutritional control of mitochondrial activity (and hence of nutrient catabolism) is another major mechanism by which nutrients may affect body composition and tissue characteristics. These regulations are of great importance in the most metabolically active tissues (the digestive tract and the liver) and may have undesirable (i.e. diabetes and obesity in humans) or desirable consequences (such as the production of fatty liver by ducks and geese, and the production of fatty and hence tasty meat or milk with an adapted fatty acid profile).

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