Cyst(e)ine fortification in low crude protein diet improves growth performance of broilers by modulating serum metabolite profile

Wang, Weiwei; Feng, Qianqian; Wang, Jing; Wu, Shu‐geng; Qi, Guang‐hai; Zhang, Haijun

doi:10.1016/j.jprot.2021.104154

Cited by 4 publications

(3 citation statements)

References 54 publications

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“…Therefore, it is important to explore the effects of different feeding practices on intestinal metabolites to reveal the intestinal development mechanism of Nanjiang yellow goats. Wang et al found that the levels of 43 of these serum metabolites were notably elevated in high-growth goats by comparing the serum metabolism differences between high-growth and low-growth goats, including D-ornithine, l-glutamine, L-histidine, myosin, lysophosphatidylinositolase, DCTP, and hydroxylysine; the levels of 82 serum metabolites were remarkably higher in low-growth rate goats, including p-salicylic acid and deoxycholic acid 3-glucuronide[28]. Wang et al explored the effects of dietary energy and protein on the rumen bacterial composition and rumen metabolites of the velvet goats and found that there was a significant difference in the metabolites between the high-energy, high-protein group and the control group.…”

Section: Discussionmentioning

confidence: 99%

“…Metabolites are endogenous small molecular compounds, such as amino acids, sugars, lipids, nucleic acids, etc., that participate in the metabolism of an organism and maintain its normal growth and developmental functions, and the production and accumulation of these metabolites reflect the state of the biological system and the dynamic process of the whole system [26,28] . Metabolomics technology can use different analytical methods, such as mass spectrometry, nuclear magnetic resonance (NMR), and liquid chromatography, to detect and quantify metabolites, thus revealing the metabolic state and function of an organism.…”

Section: Effect Of Different Feeding Methods On Gut Metabolitesmentioning

confidence: 99%

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Effects of different feeding methods on serum biochemical indexes, metabolic indexes, immune indexes, and intestinal microorganisms of Nanjiang yellow goats

Luo,

Anwar,

Pan

et al. 2024

Preprint

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The intestinal microbiota significantly influences the intake, storage, and absorption of nutrients in animals, thereby greatly impacting the growth and development of the animals. Factors such as diet, animal breed, growth stage, and feeding methods may affect variations in the composition of the intestinal microbiota. However, research on the variations in the intestinal microbiota and metabolites of Nanjiang Yellow goats under different feeding methods is still unclear. We measured various serum biochemical indicators and immune biochemical indicators and found that the triglyceride (TC) content in the grazing group (the FMMF) was significantly lower than in the barn-feeding group (the SSMF) (P<0.05). Serum levels of immunoglobulin A (IgA), immunoglobulin G (IgG), and immunoglobulin G (IgM) were higher in the FMMF group. At the phylum level, the most abundant bacteria were Firmicutes, Bacteroidota, and Verrucomicrobiota. At the genus level, the most abundant microbial groups were Christensenellaceae_R-7_group, UCG-005, and Rikenellaceae_RC9_gut_group. Differential metabolite enrichment analysis through KEGG pathways revealed that the most remarkably enriched pathway was "Metabolic pathways," including Steroid hormone biosynthesis and Arachidonic acid metabolism, among others. Analyzed by multi-omics association, we identified notably different microbial features correlated with immune indicators and metabolites after different feeding methods. We observed a significant negative correlation (P<0.05) between the concentrations of serum immune factors interleukin-2 (IL-2), interleukin-4 (IL-4), and g__probable_genus_10. The concentration of IgM in serum showed a highly significant positive correlation (P<0.01) with the relative abundance of g__Erysipelatoclostridium in the intestine. Interestingly, most differential metabolites were significantly associated with intestinal microbiota. This experiment indicates that different feeding methods may influence the diversity and relative abundance of the intestinal microbiota in Nanjiang Yellow goats. The intestinal microbiota is correlated with immune indicators and metabolism, and regulating the diversity and relative abundance of the intestinal microbiota can be a way to adjust metabolism, thereby promoting the healthy growth of the Nanjiang Yellow goats.

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Section: Discussionmentioning

confidence: 99%

Section: Effect Of Different Feeding Methods On Gut Metabolitesmentioning

confidence: 99%

Effects of different feeding methods on serum biochemical indexes, metabolic indexes, immune indexes, and intestinal microorganisms of Nanjiang yellow goats

Luo,

Anwar,

Pan

et al. 2024

Preprint

View full text Add to dashboard Cite

show abstract

“…Providing a very low CP diet to broilers (4.5% lower CP than the control diet) reduced their growth performance even though the diet was supplemented by all limiting EAA according to the ideal protein concept (Wang et al 2021b). Similarly, finishing pigs fed with diets with very low levels of CP (11 vs 14%) supplemented with EAA had lower growth performance than those fed a control diet (Tuitoek et al 1997).…”

Section: Use Of Free Amino Acids In Farm Animal Nutritionmentioning

confidence: 99%

Feeding intact proteins, peptides, or free amino acids to monogastric farm animals

Eugenio

Milgen

Duperray³

et al. 2022

Amino Acids

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For terrestrial farm animals, intact protein sources like soybean meal have been the main ingredients providing the required amino acids (AA) to sustain life. However, in recent years, the availability of hydrolysed protein sources and free AA has led to the use of other forms of AA to feed farm animals. The advent of using these new forms is especially important to reduce the negative environmental impacts of animal production because these new forms allow reducing the dietary crude protein content and provide more digestible materials. However, the form in which dietary AA are provided can have an effect on the dynamics of nutrient availability for protein deposition and tissue growth including the efficiency of nutrient utilization. In this literature review, the use of different forms of AA in animal diets is explored, and their differences in digestion and absorption rates is focused on. These differences affect the postprandial plasma appearance of AA, which can have metabolic consequences, like greater insulin response when free AA or hydrolysates instead of intact proteins are fed, which can have a profound effect on metabolism and growth performance. Nevertheless, the use and application of the different AA forms in animal diets is important to achieve a more sustainable and efficient animal production system in the future, as they allow for a more precise diet formulation and reduced negative environmental impact. It is therefore important to differentiate the physiological and metabolic effects of different forms of AA to maximize their nutritional value in animal diets.

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Inclusion of guanidinoacetic acid in a low metabolizable energy diet improves broilers growth performance by elevating energy utilization efficiency through modulation serum metabolite profile

Cao,

He,

et al. 2024

Journal of Animal Science

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This study was aimed to explore the elevating energy utilization efficiency mechanism for the potentially ameliorative effect of guanidinoacetic acid (GAA) addition on growth performance of broilers fed a low metabolizable energy (LME) diet. A total of 576 day-old broilers were randomly allocated to one of the 6 treatments: a basal diet (normal ME, positive control, PC), or an LME diet (50 kcal/kg reduction in ME, negative control, NC) supplemented with 0.02, 0.04, 0.06 and 0.08 % GAA from 1 to 42 d of age, respectively. The GAA fortification in LME diet linearly or quadratically dropped (P < 0.05) the feed conversion ratio (FCR) from 22 to 42 and 1 to 42 d of age, abdominal fat rate on d 42, serum alanine aminotransferase (ALT) on d 21, and serum creatinine (CREAN) on d 21 and 42, elevated (P < 0.05) breast muscle rate and leg muscle rate on d 42, serum creatine kinase (CK) on d 21 and 42, as well as alkaline phosphatase (ALP), and lactate dehydrogenase (LDH) on d 21. The dietary optimal GAA levels were 0.03-0.08% based on the best fitted quadratic models (P < 0.03) of the above parameters. Thus, the PC, LME and 0.04% GAA-LME groups were selected for further analysis. Serum essential amino acids (EAA) tryptophan, histidine and arginine, non-essential amino acids (NEEA) serine, glutamine and aspartic acid were significantly decreased (P < 0.05), compared to PC diet by LME or 0.04% GAA-LME diet. 0.04% GAA-LME group reversed (P < 0.05) the reduction of arginine, 3-methyhistidine and 1-methylhistidine by LME diet. Besides, 6 birds at 28 d of age from LME and 0.04% GAA-LME groups were selected for energy utilization observation in calorimetry chambers. The results demonstrated that 0.04% GAA-LME group significantly improved (P < 0.05) the ME intake (MEI) and net energy (NE) compared to the LME diet. Overall, these findings suggest that 0.04% GAA is the ideal dose of broilers fed the LME diet, which can significantly improve the growth performance and carcass characteristics by modulation of creatine metabolism through elevating serum CK activity and arginine concentration.

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Cyst(e)ine fortification in low crude protein diet improves growth performance of broilers by modulating serum metabolite profile

Cited by 4 publications

References 54 publications

Effects of different feeding methods on serum biochemical indexes, metabolic indexes, immune indexes, and intestinal microorganisms of Nanjiang yellow goats

Effects of different feeding methods on serum biochemical indexes, metabolic indexes, immune indexes, and intestinal microorganisms of Nanjiang yellow goats

Feeding intact proteins, peptides, or free amino acids to monogastric farm animals

Inclusion of guanidinoacetic acid in a low metabolizable energy diet improves broilers growth performance by elevating energy utilization efficiency through modulation serum metabolite profile

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