Average daily gain divergence in beef steers is associated with altered plasma metabolome and whole blood immune-related gene expression

Ogunade, Ibukun M; McCoun, Megan

doi:10.1093/tas/txaa074

Cited by 6 publications

(4 citation statements)

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“…We identified that unclassified Clostridiales (OTU 1000113) was a key contributor to the synthesis of anthranilate, while Akkermansia muciniphila (OTU 358757) was predicted to contribute to the degradation of tryptamine and the synthesis of 4,6-dihydroxyquinoline. Anthranilate, tryptamine, and 4,6-dihydroxyquinoline are all tryptophan metabolites [54][55][56], and tryptophan metabolites are well established as ligands for the AhR [42] and modulate inflammation in multiple cell types [30,57]. Tryptophan metabolism also plays an important role in impeding CRC development through inhibiting inflammation, repairing the gut barrier structure, and interacting with beneficial microorganisms in the gut [57].…”

Section: Discussionmentioning

confidence: 99%

Effect of diet and intestinal AhR expression on fecal microbiome and metabolomic profiles

et al. 2020

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Background Diet, loss of aryl hydrocarbon receptor (AhR) expression and their modification of the gut microbiota community composition and its metabolites affect the development of colorectal cancer (CRC). However, the concordance between fecal microbiota composition and the fecal metabolome is poorly understood. Mice with specific AhR deletion (AhRKO) in intestinal epithelial cell and their wild-type littermates were fed a low-fat diet or a high-fat diet. Shifts in the fecal microbiome and metabolome associated with diet and loss of AhR expression were assessed. Microbiome and metabolome data were integrated to identify specific microbial taxa that contributed to the observed metabolite shifts. Results Our analysis shows that diet has a more pronounced effect on mouse fecal microbiota composition than the impact of the loss of AhR. In contrast, metabolomic analysis showed that the loss of AhR in intestinal epithelial cells had a more pronounced effect on metabolite profile compared to diet. Integration analysis of microbiome and metabolome identified unclassified Clostridiales, unclassified Desulfovibrionaceae, and Akkermansia as key contributors to the synthesis and/or utilization of tryptophan metabolites. Conclusions Akkermansia are likely to contribute to the synthesis and/or degradation of tryptophan metabolites. Our study highlights the use of multi-omic analysis to investigate the relationship between the microbiome and metabolome and identifies possible taxa that can be targeted to manipulate the microbiome for CRC treatment.

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Section: Discussionmentioning

confidence: 99%

Effect of diet and intestinal AhR expression on fecal microbiome and metabolomic profiles

et al. 2020

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“…The results of the growth performance of LF and HF steers have been previously reported [ 8 ]. Briefly, the average initial body weight (229 vs. 225 kg; SE = 5.21) and average daily DM intake (6.08 vs. 6.04 kg; SE = 0.23) of the LF and HF beef steers were similar ( p > 0.05).…”

Section: Resultsmentioning

confidence: 99%

“…All experimental animals were managed according to guidelines approved by the Institutional Animal Care and Use Committee of Kentucky State University (18-0001). Details about animals, feeding, and measurements of dry matter intake and average daily gain have been reported previously [ 8 ]. Briefly, 48 Angus crossbred beef steers (21 d post-weaning; 210 ± 8.5 kg of body weight) were individually housed in slatted floor pens (2.44 × 14.63 m 2 ) and fed ad libitum a 79% corn silage and 21% grain mix-based total mixed ration with free access to water for 42 d after a 21 d adaptation period (63 d total).…”

Section: Methodsmentioning

confidence: 99%

“…High-performance chemical isotope labeling (CIL) liquid chromatography mass spectrometry (LC–MS)-based metabolomics technique is an important tool used to profile chemical-group-based metabolomes such as amine/phenol (metabolites containing amine/phenol groups) and carboxyl-metabolome (metabolites containing carboxylic acid groups) [ 7 ]. In our previous study, we applied a CIL/LC–MS-based metabolomics technique to examine differences in the plasma metabolites of beef steers divergent in ADG with a focus on those metabolites containing amine/phenol chemical groups [ 8 ]. However, previous studies that studied transcriptomics and proteomics analysis of liver tissues identified fatty acid metabolism as the most important metabolic pathway associated with feed efficiency-related traits in animals [ 2 , 4 , 9 ].…”

Section: Introductionmentioning

confidence: 99%

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Plasma Carboxyl-Metabolome Is Associated with Average Daily Gain Divergence in Beef Steers

Ogunade

Oyebade

Osa-Andrews

et al. 2021

Animals

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We applied an untargeted metabolomics technique to analyze the plasma carboxyl-metabolome of beef steers with divergent average daily gain (ADG). Forty-eight newly weaned Angus crossbred beef steers were fed the same total mixed ration ad libitum for 42 days. On day 42, the steers were divided into two groups of lowest (LF: n = 8) and highest ADG (HF: n = 8), and blood samples were obtained from the two groups for plasma preparation. Relative quantification of carboxylic-acid-containing metabolites in the plasma samples was determined using a metabolomics technique based on chemical isotope labeling liquid chromatography mass spectrometry. Metabolites that differed (fold change (FC) ≥ 1.2 or ≤ 0.83 and FDR ≤ 0.05) between LF and HF were identified using a volcano plot. Metabolite set enrichment analysis (MSEA) of the differential metabolites was done to determine the metabolic pathways or enzymes that were potentially altered. In total, 328 metabolites were identified. Volcano plot analysis revealed 43 differentially abundant metabolites; several short chain fatty acids and ketone bodies had greater abundance in HF steers. Conversely, several long chain fatty acids were greater in LF steers. Five enzymatic pathways, such as fatty acyl CoA elongation and fatty-acid CoA ligase were altered based on MSEA. This study demonstrated that beef steers with divergent ADG had altered plasma carboxyl-metabolome, which is possibly caused by altered abundances and/or activities of enzymes involved in fatty acid oxidation and biosynthesis in the liver.

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The time elapsed between assessments of blood metabolome and live weight affects associations between the abundance of metabolites and growth rate in beef cattle

2023

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Introduction This study aimed to assess the associations between the relative abundance (RA) of blood metabolites and growth rate (i.e., live weight change, LWC) calculated using different intervals of time between live weight (LW) measurements from the metabolome assessment. Methods Grazing beef cattle were raised for 56 days and blood samples from each animal were taken on day 57. Live weight was continuously measured using an automatic in-paddock weighing scale. The RA of plasma metabolites were determined using proton nuclear magnetic resonance (NMR). Live weight data were filtered for outliers and one LW record was selected every 1, 7, 14, 21, 28, 35, 42, 49 and 56 days before the metabolome assessment (LWC1 to LWC56, respectively). Live weight change was then re-calculated for each interval between LW data selected. Results Associations between LWC calculations and the RA of metabolites were greatly affected by the interval of time between LW data selected. Thus, the number of significant associations decreased from 9 for LWC1 to 5 for LWC35 whereas no significant associations were found for LWC56 (P > 0.05). There were 7 metabolites negatively associated with LWC1 including leucine, 2-hydroxybutyrate, valine, creatinine, creatine, phenylalanine and methylhistidine; however, correlations were positive for 2 lipids. The strength of the correlation coefficients decreased as the length of the interval between LW measures increased although this reduction was greater for some metabolites such as leucine compared to others such as lipids. Our findings suggest that the time frame in which a particular response variable, such as LWC, is measured and metabolomic samples are taken could largely impact associations and thus conclusions drawn. Conclusions Depending on the variable to be explored, rapid changes in cattle metabolome may not be reflected in correlations if they are not assessed close in time. Our findings suggest that LWC should be measured for a period shorter than 28 days before the metabolome assessment as the number of significant associations decreases when LWC is measured for longer periods.

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Average daily gain divergence in beef steers is associated with altered plasma metabolome and whole blood immune-related gene expression

Cited by 6 publications

References 54 publications

Effect of diet and intestinal AhR expression on fecal microbiome and metabolomic profiles

Effect of diet and intestinal AhR expression on fecal microbiome and metabolomic profiles

Plasma Carboxyl-Metabolome Is Associated with Average Daily Gain Divergence in Beef Steers

The time elapsed between assessments of blood metabolome and live weight affects associations between the abundance of metabolites and growth rate in beef cattle

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