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In the factorial approach, amino acid (AA) requirements are determined using the AA com-position of retained protein, which is assumed to be constant. However, this hypothesis may not be valid because the AA composition of body protein can be affected by the diet. The objective of this study was to quantify the changes in chemical body composition of broilers receiving diets either deficient (TSAA-) or suf-ficient (TSAA+) in TSAA. Diet TSAA+ was formulat-ed according to the Ross recommendation. Diet TSAA provided 36% true digestible Met:Lys and 64% true digestible TSAA:Lys, which were, respectively, 34 and 22% lower compared with diet TSAA+. Performance and tissue weight gain between 7 and 42 d of age were not affected by the TSAA supply. In TSAA- chickens, protein gain was lower in the carcass (P < 0.01) and tended to be lower in the empty body (P = 0.06) and pectoralis major muscle (P = 0.10). Compared with TSAA+ chickens, lipid gain in TSAA- chickens was 78% greater in the pectoralis muscle (P < 0.001), 28% greater in abdominal fat (P < 0.05), and 10% greater in the carcass (P = 0.10). In the pectoralis muscle, there was a tendency for an increase in the redness value (a*; P = 0.10)*. The TSAA supply affected the AA composition of tissues and tissue gain, but the Met and Cys concentrations were changed only in the offal (P = 0.08). The deficient TSAA supply resulted in an increase in the Ser concentration in the empty body, carcass, and pectoralis muscle (P < 0.05). In contrast, it resulted in a decrease in the concentrations of Lys and Glu in the empty body, of Phe, Tyr, Gly, and Glu in the pectoralis muscle, and of Ala in the offal (P < 0.05). This indicates that although chickens cope with a TSAA deficiency predominantly by changing the pro-tein and lipid concentration in the body, the AA com-position is also affected. This calls into question the use of a constant ideal AA profile in poultry nutrition. [ABSTRACT FROM AUTHOR]

During digestion, almost 50% of absorbed essential amino acids (AAs) are metabolised by intestinal tissue, thus not appearing directly in the portal vein. This value, which is referred to as first-pass metabolism, seems high in relation to the overall efficiency of AA use considered in growth models. Experimental studies of first-pass metabolism are complicated due to the presence of numerous metabolic fluxes in the intestine and to the dynamics of digestion and absorption. The aim of this study was to integrate current knowledge of the metabolic AA fluxes in the small intestine in a conceptual model of intestinal AA metabolism. The model was built as a series of 200 intestinal segments, each having the same structure. Each segment was composed of seven pools, representing the fate of a generic AA according to their location (i.e., luminal or intestinal), origin (i.e., dietary or endogenous), and form (i.e., as protein or as a free AA). The pools were connected by fluxes, representing the main fates of AA, such as saturable transport of luminal AA or homeostasis of free or protein-bound AA in intestinal tissue. To parameterise the model, data from the literature were used, as well as values considered as reasonable. Simulations were carried out over 24 h, with five meals during the day and fasting during the night. Representing the small intestine as a series of segments allowed to account both for its tubular structure and for changing luminal environment. During the day, the model simulated the uptake of AA from the intestine and export to the blood, while during the night it simulated the uptake of AA from the blood to ensure intestinal homeostasis. Approximately, half of dietary AAs absorbed were metabolised in first-pass by intestinal tissue (i.e., used for intestinal protein synthesis). Part of this intestinal protein was secreted in the lumen as endogenous protein, which was driven by the presence of digesta, and endogenous protein can be digested and absorbed in more distal segments. In vivo, only the apparent first-pass metabolism of AA can be measured due to the dynamics of AA recycling and the tubular structure of the small intestine. This model can be a valuable tool for research and education to simulate the impact of nutrition on intestinal AA metabolism., (Copyright © 2025 The Authors. Published by Elsevier B.V. All rights reserved.)

We now live in an era where metabolic data are increasingly accessible and available. Analysis of this data can be done using novel techniques (e.g., machine learning and artificial intelligence) but this does not alleviate scientists to use "human intelligence". The objective of this paper is to combine the information of a large database of biochemical reactions with a method and tool to make nutritional biochemistry more accessible to nutritionists. A script was developed to extract information from a database with more than 16 000 biochemical reactions so that it can be used for "biochemical bookkeeping". A system of more than 300 meta-reactions (i.e., the outcome reaction of a series of connected individual reactions) was constructed covering a wide range of metabolic pathways for macro- and micronutrients. Meta-reactions were constructed by identifying metabolic nodes, which are inputs or outputs of a metabolic system or that serve as connection points between meta-reactions. Complete metabolic pathways can be constructed by combining and balancing the meta-reactions using a simple Excel tool. To illustrate the use of meta-reactions and the tool in the teaching of nutritional biochemistry, examples are given to illustrate how much ATP can be synthesized from glucose, either directly or indirectly (i.e., via storage and mobilization or via transfer of intermediate metabolites between tissues and generations). To illustrate how meta-reactions and the tool can be used in research, nutrient balance data of the mammary gland of a dairy cow were used to construct a plausible pathway of nutrient metabolism of the whole mammary gland. The balance data included 34 metabolites taken up or exported by the mammary gland and 39 meta-reactions were used to construct a metabolic pathway that accounted for the uptake and output of metabolites. The results highlighted the importance of the synthesis of proline from arginine and the concomitant synthesis of urea by the mammary gland. It also raised the question of whether the availability of metabolic pathways or glucose uptake would be the more limiting factor for the synthesis of NADPH required for fatty acid synthesis. The availability of an open database with biochemical reactions, the concept of meta-reactions, and the provision of a tool allow users to construct metabolic pathways, which helps acquiring a more comprehensive and integrated view of metabolism and may raise issues that may be difficult to identify otherwise., (Copyright © 2024 The Author(s). Published by Elsevier B.V. All rights reserved.)

Resilience, when defined as the capacity of an animal to respond to short-term environmental challenges and to return to the prechallenge status, is a dynamic and complex trait. Resilient animals can reinforce the capacity of the herd to cope with often fluctuating and unpredictable environmental conditions. The ability of modern technologies to simultaneously record multiple performance measures of individual animals over time is a huge step forward to evaluate the resilience of farm animals. However, resilience is not directly measurable and requires mathematical models with biologically meaningful parameters to obtain quantitative resilience indicators. Furthermore, interpretive models may also be needed to determine the periods of perturbation as perceived by the animal. These applications do not require explicit knowledge of the origin of the perturbations and are developed based on real-time information obtained in the data during and outside the perturbation period. The main objective of this paper was to review and illustrate with examples, different modelling approaches applied to this new generation of data (i.e., with high-frequency recording) to detect and quantify animal responses to perturbations. Case studies were developed to illustrate alternative approaches to real-time and post-treatment of data. In addition, perspectives on the use of hybrid models for better understanding and predicting animal resilience are presented. Quantification of resilience at the individual level makes possible the inclusion of this trait into future breeding programmes. This would allow improvement of the capacity of animals to adapt to a changing environment, and therefore potentially reduce the impact of disease and other environmental stressors on animal welfare. Moreover, such quantification allows the farmer to tailor the management strategy to help individual animals to cope with the perturbation, hence reducing the use of pharmaceuticals, and decreasing the level of pain of the animal., (Copyright © 2023 The Authors. Published by Elsevier B.V. All rights reserved.)

In vitro models of digestion are useful tools to explore the behavior of dietary fiber sources in gastrointestinal conditions. To evaluate the validity of our digestion model, digesta obtained in vivo and in vitro were characterized and the impact of cell wall integrity on protein bioaccessibility and digestibility evaluated. Six cannulated barrows [Pietrain × (Large White × Landrace)] were included in a 2 × 2 Latin square design where they were fed two diets identical in chemical composition but differing in nutrient bioaccessibility. Pea was given either as flour (R1, most proteins encapsulated by intact cell walls) or reconstituted flour (R2, mixture of proteins and purified, broken cell walls). Digesta were collected at the duodenal and ileal cannulas at regular interval and after slaughtering, following ingestion of either R1 or R2. The two diets were also digested in vitro using a static gastrointestinal model. The original pea ingredients as well as the digesta collected in vivo and in vitro were characterized (i.e., particle size measurement, microscopy observations and gel electrophoresis) and then compared with each other. The degradation of the pea ingredients differed greatly between the two forms of flour, where particles filled with nutrients were recovered at the latest stage of R1 intestinal digestion as observed with the particle size distribution and the microscopy images. These results were consistent with the in vivo and in vitro digestibility analysis that showed lower protein hydrolysis for R1 than that for R2 (about 19% difference in protein digestion regardless of the method). Overall, great similarities were found between the digesta collected in vivo and in vitro, especially regarding the particle size measurements. To summarize, a substantial proportion of the proteins contained in R1 was retained within the pea cells following gastrointestinal digestion. These encapsulated proteins reduced the amount of amino acids and small peptides available for absorption. This mechanism will have consequences on postprandial metabolism of amino acids and bacterial population based on the delivery form of the dietary fiber., (© The Author(s) 2023. Published by Oxford University Press on behalf of the American Society of Animal Science.)