scholarly journals The biochemical and metabolic profiles of dairy cows with mycotoxins-contaminated diets

PeerJ ◽  
2020 ◽  
Vol 8 ◽  
pp. e8742
Author(s):  
Qian Wang ◽  
Yangdong Zhang ◽  
Nan Zheng ◽  
Shengguo Zhao ◽  
Songli Li ◽  
...  
Keyword(s):  
Amino Acid ◽  
Dairy Cows ◽  
Amino Acid Metabolism ◽  
Acid Metabolism ◽  
Plasma Metabolites ◽  
Control Group ◽  
Treatment Groups ◽  
Total Antioxidant ◽  
Biochemical Profiles ◽  
Biochemical Analyses

Background Previous studies on the effects of mycotoxins have solely focused on their biochemical profiles or products in dairy ruminants. Changes in metabolism that occur after exposure to mycotoxins, as well as biochemical changes, have not been explored. Methods We measured the biochemical and metabolic changes in dairy cows after exposure to mycotoxins using biochemical analyses and nuclear magnetic resonance. Twenty-four dairy cows were randomly assigned to three different treatment groups. Control cows received diets with 2 kg uncontaminated cottonseed. Cows in the 50% replacement group received the same diet as the control group, but with 1 kg of uncontaminated cottonseed and 1 kg of cottonseed contaminated with mycotoxins. Cows in the 100% replacement group received the same diet as the control, but with 2 kg contaminated cottonseed. Results The results showed that serum γ-glutamyl transpeptidase and total antioxidant capacities were significantly affected by cottonseed contaminated with mycotoxins. There were also significant differences in isovalerate and NH3-N levels, and significant differences in the eight plasma metabolites among the three groups. These metabolites are mainly involved in amino acid metabolism pathways. Therefore, the results suggest that amino acid metabolism pathways may be affected by mycotoxins exposure.

Aromatic amino acid metabolism of neonatal piglets receiving TPN: effect of tyrosine precursors

1994 ◽  
Vol 267 (5) ◽  
pp. E672-E679 ◽  
Author(s):  
L. J. Wykes ◽  
J. D. House ◽  
R. O. Ball ◽  
P. B. Pencharz
Keyword(s):  
Amino Acid ◽  
Aromatic Amino Acid ◽  
Amino Acid Metabolism ◽  
Acid Metabolism ◽  
Central Line ◽  
High Plasma ◽  
Control Group ◽  
Neonatal Piglets ◽  
Aromatic Amino Acid Metabolism ◽  
Plasma Tyrosine

Low tyrosine solubility in total parenteral nutrition (TPN) solutions complicates meeting the aromatic amino acid needs of infants. This study compared the effectiveness of two tyrosine precursors to supply the aromatic amino acid needs of TPN-fed neonatal piglets with a control group in which total aromatic acid needs were met by the addition of phenylalanine (Phe). Eighteen 3-day-old male Yorkshire piglets (6/group) received TPN for 8 days by central line. The solution was supplemented with Phe or one of the following two tyrosine precursors: N-acetyltyrosine (N-AcTyr) or glycyltyrosine (GlyTyr). Aromatic amino acid metabolism, growth, and nitrogen utilization were measured. Average amino acid and energy intakes were 14.6 g.kg-1.day-1 and 1,050 kJ.kg-1.day-1. Nitrogen balance and utilization were significantly higher (P < 0.05) in piglets in the control Phe group and on the GlyTyr regimen. The high urinary excretion of N-AcTyr (65%) confirms its low bioavailability. Flux and oxidation were significantly higher (P < 0.05) in the Phe group. High plasma Phe levels and excretion of Phe catabolites, as well as the high plasma tyrosine in the GlyTyr group, indicate that current strategies employed to meet the aromatic amino acid needs of neonates on TPN need further refinement.

Xuebijing Injection Affects the Dynamic Change of Metabolism in CLP-Induced Septic Rats

2021 ◽  
Author(s):  
Yanjuan Liu ◽  
Qi Zeng ◽  
Wen Xiao ◽  
Fang Chen ◽  
Lianhong Zou ◽  
...  
Keyword(s):  
Amino Acid ◽  
Metabolic Pathways ◽  
Amino Acid Metabolism ◽  
Acid Metabolism ◽  
Dynamic Change ◽  
Sepsis Group ◽  
Control Group ◽  
Multivariate Statistical ◽  
Xuebijing Injection ◽  
Kegg Pathway Analysis

Abstract Xuebijing injection has been widely applied to treat sepsis. However, its roles in the dynamic change of metabolism in sepsis are still unknown. In our study, Gas chromatography-mass spectrometer (GC-MS) combined with multivariate statistical techniques was used to detect the metabolic change in septic rats with or without XBJ injection treatment. The KEGG pathway analysis was used to further analyze the related metabolic pathways in which the identified metabolites were involved. Based on the fold change, variable important in projection, and P value, we found 11, 33 and 26 differential metabolites in the sepsis group at 2, 6 and 12 hours post CLP, compared with the control group. Besides, we also found 32, 23 and 28 differential metabolites in the XBJ group at 2, 6 and 12 hours post CLP. The related pathways of differential metabolites were glycometabolism at 2h, glycometabolism and amino acid metabolism at 6h and amino acid metabolism at 12h post CLP in the sepsis group compared with the control group. Besides, glycometabolism, amino acid metabolism and lipid metabolism changed markedly after XBJ injection for 2 hours; while only amino acid metabolism changed significantly with the treatment of XBJ injection for 6 and 12 hours, compared with the sepsis group. Further analysis showed 3, 6 and 6 differential metabolites were overlapped in the sepsis group and XBJ group at 2, 6 and 12 hours post CLP. These identified differential metabolites were majorly involved in arginine and proline metabolism, suggesting that XBJ injection is capable of improving metabolic disorders in CLP-induced septic rat to a certain extent.

scholarly journals Toxicant-Induced Metabolic Alterations in Lipid and Amino Acid Pathways Are Predictive of Acute Liver Toxicity in Rats

2020 ◽  
Vol 21 (21) ◽  
pp. 8250
Author(s):  
Venkat R. Pannala ◽  
Shanea K. Estes ◽  
Mohsin Rahim ◽  
Irina Trenary ◽  
Tracy P. O’Brien ◽  
...  
Keyword(s):  
Amino Acid ◽  
Amino Acid Metabolism ◽  
Acid Metabolism ◽  
Liver Toxicity ◽  
Exposure Dose ◽  
Plasma Metabolites ◽  
Sprague Dawley ◽  
Early Predictors ◽  
Genome Scale ◽  
Liver Response

Liver disease and disorders associated with aberrant hepatocyte metabolism can be initiated via drug and environmental toxicant exposures. In this study, we tested the hypothesis that gene and metabolic profiling can reveal commonalities in liver response to different toxicants and provide the capability to identify early signatures of acute liver toxicity. We used Sprague Dawley rats and three classical hepatotoxicants: acetaminophen (2 g/kg), bromobenzene (0.4 g/kg), and carbon tetrachloride (0.3 g/kg), to identify early perturbations in liver metabolism after a single acute exposure dose. We measured changes in liver genes and plasma metabolites at two time points (5 and 10 h) and used genome-scale metabolic models to identify commonalities in liver responses across the three toxicants. We found strong correlations for gene and metabolic profiles between the toxicants, indicative of similarities in the liver response to toxicity. We identified several injury-specific pathways in lipid and amino acid metabolism that changed similarly across the three toxicants. Our findings suggest that several plasma metabolites in lipid and amino acid metabolism are strongly associated with the progression of liver toxicity, and as such, could be targeted and clinically assessed for their potential as early predictors of acute liver toxicity.

A Urinary Metabolomics Analysis Based on UPLC-MS and Effects of Moxibustion in APP/PS1 Mice

2020 ◽  
Vol 17 (8) ◽  
pp. 753-765
Author(s):  
Rui He ◽  
Juntian Liu ◽  
Chang Huang ◽  
Jinyi Liu ◽  
Herong Cui ◽  
...  
Keyword(s):  
Amino Acid ◽  
Amino Acid Metabolism ◽  
Acid Metabolism ◽  
Neurodegenerative Disorder ◽  
Principal Component ◽  
Sucrose Metabolism ◽  
Control Group ◽  
Starch Metabolism ◽  
Moxibustion Group ◽  
Potential Biomarkers

Background: Alzheimer's disease (AD) is a common neurodegenerative disorder with the symptoms of cognitive impairment and decreased learning and memory abilities. Metabolomics can reflect the related functional status and physiological and pathological changes in the process of AD. Moxibustion is a unique method in traditional Chinese medicine, which has been used in the treatment and prevention of diseases for thousands of years. Methods: A total of 32 APP/PS1 mice were randomly divided into the model group, moxibustion group, moxa smoke group and smoke-free moxibustion group (n=8/group), using the random number table method, while eight C57BL/6 mice were used as the control group. The five groups were measured for 20 min/day, 6 days/week, for 4 weeks. After 4 weeks’ experiment, all the mice were placed in metabolic cages to collect urine continuously for 24 hours, for UPLC-MS analysis. Results: Principal component analysis (PCA) was used to identify the different metabolites among the five groups, and partial least squares discriminant analysis (PLS-DA) was performed to reveal the effects on the metabolic variance. Sixteen potential biomarkers were identified among the five groups, primarily related to amino acid metabolism, starch metabolism, sucrose metabolism, interconversion of pentose and glucuronate, and aminoacyl biosynthesis. There were 17 differences in the potential metabolites between the control and model groups, involving the metabolism of amino acid, purine, pyrimidine, nicotinic acid and nicotinamide, and biosynthesis of pantothenate and coenzyme A. Fifteen potential biomarkers were identified between the model and moxibustion groups, related to starch metabolism, sucrose metabolism, interconversion of pentose and glucuronate, glyoxylate, dicarboxylate anions and some amino acid metabolism. Conclusion: Moxibustion can regulate the metabolism of substance and energy by improving the synthesis and decomposition of carbohydrates and amino acids in APP/PS1 transgenic AD model mice.

scholarly journals Lysine Restriction Affects Feed Intake and Amino Acid Metabolism via Gut Microbiome in Piglets

2017 ◽  
Vol 44 (5) ◽  
pp. 1749-1761 ◽  
Author(s):  
Jie Yin ◽  
Hui Han ◽  
Yuying Li ◽  
Zhaojin Liu ◽  
Yurong Zhao ◽  
...  
Keyword(s):  
Amino Acid ◽  
Feeding Behavior ◽  
Microbial Communities ◽  
Feed Intake ◽  
Gut Microbiome ◽  
Amino Acid Metabolism ◽  
Acid Metabolism ◽  
Rrna Genes ◽  
Control Group ◽  
Restricted Group

Background/Aims: Our previous reports suggested that dietary supplementation with lysine influenced intestinal absorption and metabolism of amino acids. In this study, we further investigated the effect of lysine restriction (30%) on feed intake and we also tested the hypothesis that gut microbiome contributed to the potential mechanism of lysine restriction-mediated feeding behavior. Here, we profiled gut microbial communities by sequencing 16S ribosomal ribonucleic acid (rRNA) genes from gut samples as well as growth performance, serum hormones, and intestinal lysine transport in a piglet model. Results: Piglets preferred to the lysine restricted diet when giving three diets and the feed intake was markedly higher in the lysine-restricted group than that in the control group. Altered hormones (leptin, CCK, and ghrelin) might contribute to the feeding behavior caused by lysine restriction. Meanwhile, lysine transporting ability (SLC7A1 and SLC7A2 expression, intestinal electrophysiological changes, and amino acid pool in mesenteric vein) was decreased in response to lysine restriction. Through deep sequencing of bacterial rRNA markers, we observed that bacterial diversity was enhanced in the lysine-restricted group (Shannon H, PD, and Chao1). At the phylum level, lysine restriction enhanced gut Actinobacteria, Saccharibacteria, and Synergistetes abundances. At the family level, Moraxellaceae, Halomonadaceae, Shewanellaceae, Corynebacteriaceae, Bacillaceae, Comamonadaceae, Microbacteriaceae, Caulobacteraceae, and Synergistaceae abundances were increased in response to lysine restriction. Predictive functional profiling of microbial communities by PICRUSt also confirmed that dietary lysine restriction affected gut microbiome, which might further mediate amino acid metabolism, membrane transport, and endocrine system. Conclusion: Our results indicated that lysine restriction inhibited intestinal lysine transport and promoted feed intake, which might be associated with gut microbiome.

scholarly journals The Potential Relationship Between HIF-1α and Amino Acid Metabolism After Hypoxic Ischemia and Dual Effects on Neurons

2021 ◽  
Vol 15 ◽  
Author(s):  
Kexin Li ◽  
Yang Zheng ◽  
Xiaoming Wang
Keyword(s):  
Amino Acids ◽  
Amino Acid ◽  
Hippocampal Neurons ◽  
Amino Acid Metabolism ◽  
Acid Metabolism ◽  
Cerebral Metabolism ◽  
Control Group ◽  
Induction Effect ◽  
Glutamate Cysteine Ligase ◽  
Hypoxic Ischemia

Hypoxia inducible factor (HIF) is one of the major transcription factors through which cells and tissues adapt to hypoxic-ischemic injury. However, the specific mechanism by which HIF regulates amino acid metabolism and its effect on neurons during hypoxic ischemia (HI) have remained unclear. This study analyzed the changes in cerebral metabolism of amino acids after HI by using 1H-MRS and investigated the relationship between the changes in cerebral metabolism of amino acids and HIF-1α as well as the potential effects on neurons. Newborn pigs were used as an HI model in this study. Twenty-eight newborn Yorkshire pigs (male, 1.0–1.5 kg) aged 3–5 days were selected and randomly divided into experimental groups tested at 0–2 h (n = 4), 2–6 h (n = 4), 6–12 h (n = 4), 12–24 h (n = 4), 24–48 h (n = 4), and 48–72 h (n = 4) after HI, and a control group (n = 4). After the modeling was completed, 1H-MRS imaging was conducted, followed by immunohistochemical staining of HIF-1α, NeuN, and doublecortin (DCX), and immunofluorescence of glutamic oxaloacetic transaminase (GOT)-1, GOT2, glutathione synthase (GS), glutamate-cysteine ligase catalytic subunit (GCLC), and glutamate-cysteine ligase modifier subunit (GCLM) in brain tissues. The expression of HIF-1α exhibited two increases after HI injury. The first time was opposite to the trends of change of GOT2, aspartic acid, and the number of neurons, while the second was consistent with these trends, suggesting that HIF-1α may have a two-way induction effect on neurons by regulating GOT2 after HI. HIF-1α was closely related to GCLM expression, and GSH level was correlated with the number of hippocampal neurons, indicating that HIF-1α may regulate GCLM to promote GSH synthesis and additionally play a neuroprotective role.

scholarly journals Associations of network-derived metabolite clusters with prevalent type 2 diabetes among adults of Puerto Rican descent

2021 ◽  
Vol 9 (1) ◽  
pp. e002298
Author(s):  
Danielle E Haslam ◽  
Liming Liang ◽  
Dong D Wang ◽  
Rachel S Kelly ◽  
Clemens Wittenbecher ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Amino Acid ◽  
Puerto Rican ◽  
Amino Acid Metabolism ◽  
Acid Metabolism ◽  
Meta Analysis ◽  
Random Effect ◽  
Plasma Metabolites ◽  
Blood Draw

IntroductionWe investigated whether network analysis revealed clusters of coregulated metabolites associated with prevalent type 2 diabetes (T2D) among Puerto Rican adults.Research design and methodsWe used liquid chromatography-mass spectrometry to measure fasting plasma metabolites (>600) among participants aged 40–75 years in the Boston Puerto Rican Health Study (BPRHS; discovery) and San Juan Overweight Adult Longitudinal Study (SOALS; replication), with (n=357; n=77) and without (n=322; n=934) T2D, respectively. Among BPRHS participants, we used unsupervised partial correlation network-based methods to identify and calculate metabolite cluster scores. Logistic regression was used to assess cross-sectional associations between metabolite clusters and prevalent T2D at the baseline blood draw in the BPRHS, and significant associations were replicated in SOALS. Inverse-variance weighted random-effect meta-analysis was used to combine cohort-specific estimates.ResultsSix metabolite clusters were significantly associated with prevalent T2D in the BPRHS and replicated in SOALS (false discovery rate (FDR) <0.05). In a meta-analysis of the two cohorts, the OR and 95% CI (per 1 SD increase in cluster score) for prevalent T2D were as follows for clusters characterized primarily by glucose transport (0.21 (0.16 to 0.30); FDR <0.0001), sphingolipids (0.40 (0.29 to 0.53); FDR <0.0001), acyl cholines (0.35 (0.22 to 0.56); FDR <0.0001), sugar metabolism (2.28 (1.68 to 3.09); FDR <0.0001), branched-chain and aromatic amino acids (2.22 (1.60 to 3.08); FDR <0.0001), and fatty acid biosynthesis (1.54 (1.29 to 1.85); FDR <0.0001). Three additional clusters characterized by amino acid metabolism, cell membrane components, and aromatic amino acid metabolism displayed significant associations with prevalent T2D in the BPRHS, but these associations were not replicated in SOALS.ConclusionsAmong Puerto Rican adults, we identified several known and novel metabolite clusters that associated with prevalent T2D.

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