scholarly journals Assessing metabolic properties of dairy cows fed low quality straws by integrative arterial and venous metabolomics

2020 ◽  
Vol 33 (11) ◽  
pp. 1770-1778
Author(s):  
Bing Wang ◽  
Zhu Yu ◽  
Jianxin Liu

Objective: This study was conducted to reveal potential metabolic differences of dairy cows fed corn stover (CS) and rice straw (RS) instead of alfalfa hay (AH) as main forage source.Methods: Thirty multiparous mid-late lactation Holstein dairy cows were selected and randomly assigned to three diets, AH, CS, or RS (n = 10). After 13 weeks of the feeding trial, coccygeal arterial and superficial epigastric venous plasma samples were collected before morning feeding for gas chromatography time-of-flight/mass spectrometry analyses.Results: In the artery, 8 and 13 metabolites were detected as differential metabolites between AH and CS, and between AH and RS, respectively. The relative abundance of phenylpropanoate (log<sub>2</sub>fold change [FC]) = 1.30, 1.09), panthenol (log<sub>2</sub>FC = 2.36, 2.20), threitol (log<sub>2</sub>FC = 1.00, 1.07), and 3,7,12-trihydroxycoprostane (log<sub>2</sub>FC = 0.79, 0.78) were greater in both CS and RS than in AH, and tyrosine (log<sub>2</sub>FC = –0.32), phenylalanine (log<sub>2</sub>FC = –0.30), and pyruvic acid (log<sub>2</sub>FC = –0.30) were lower in RS than in AH. In the vein, 1 and 7 metabolites were detected as differential metabolites between AH and CS, and between AH and RS, respectively. By comparing AH and RS, we found that metabolic pathways of phenylalanine, tyrosine, and tryptophan biosynthesis and phenylalanine metabolism were enriched by integrative artery and vein analysis. Furthermore, AH and RS, arterial phenylpropanoate and 4-hydroxyproline were positively, and phenylalanine was negatively correlated with milk urea nitrogen. Finally, in AH and CS, arterial panthenol was negatively correlated with feed efficiency.Conclusion: Arterial metabolic profiles changed more than those in the veins from animals on three forage diets, differing in amino acids. We found that phenylalanine, tyrosine, and tryptophan biosynthesis and phenylalanine metabolism were restricted when cows were fed low-quality cereal straw diets.

2015 ◽  
Vol 2015 ◽  
pp. 1-9 ◽  
Author(s):  
Liping Yang ◽  
Jiansheng Li ◽  
Ya Li ◽  
Yange Tian ◽  
Suyun Li ◽  
...  

As a traditional Chinese medicine, Bufei Yishen Formula (BYF) is widely used in China as an effective treatment for chronic obstructive pulmonary disease (COPD). Because of the component complexity and multiple activities of Chinese herbs, the mechanism whereby BYF affects COPD is not yet fully understood. Herein, pulmonary function experiments and histomorphological assessments were used to evaluate the curative effect of BYF, which showed that BYF had an effect on COPD. Additionally, a high performance liquid chromatography quadrupole time-of-flight mass spectrometry (HPLC QTOF/MS) metabonomics method was used to analyze the mechanism of the actions of BYF on rats with COPD induced by a combination of bacteria and smoking. Partial least squares discriminate analysis (PLS-DA) was used to screen biomarkers related to BYF treatment. Candidate biomarkers were selected and pathways analysis of these metabolites showed that three types of metabolic pathways (unsaturated fatty acid metabolism-related pathways, phenylalanine metabolism-related pathways, and phospholipid metabolism-related pathways) were associated with BYF treatment. Importantly, arachidonic acid and related metabolic pathways might be useful targets for novel COPD therapies.


2021 ◽  
Author(s):  
Zhijie Wang ◽  
Yuxi Song ◽  
Shuhan Sun ◽  
Yunlong Bai ◽  
Chang Zhao ◽  
...  

Abstract Inactive ovaries (IO) is a kind of postpartum ovarian disease in dairy cows, which sometimes accounts for 50% of ovarian disease, which seriously affects the dairy cows’s reproductive efficiency. To explore the metabolic changes in the serum and follicular fluid of dairy cows with IO during lactation, in this study six estrus (E) cows and six IO cows at 50 to 55 days in milk were selected according to B ultrasonic detection and clinical manifestations. The differential metabolites in serum and follicular fluid between the E cows and IO cows were identified by ultra-high-pressure liquid chromatography quadrupole time-of-flight mass spectrometry, combined with multidimensional statistical methods. The result shows that dairy cows with IO were in a subclinical ketosis status (BHBA > 1.20 mmol/L), 14 differential metabolites in the serum of IO cows included 10 increased metabolites and 4 decreased metabolites, while 14 differential metabolites in the follicular fluid of IO cows included 8 increased metabolites and 6 decreased metabolites. These differential metabolites mainly involve 9 metabolic pathways. Among them, the common enrichment pathway of different metabolites in serum and follicular fluid are glycerophospholipid metabolism, pentose and glucuronate interconversions. In conclusion, there are significant differences in the differential metabolites and enrichment pathways between serum and follicular fluid of IO cows. It implies that there are the complex changes in blood metabolism and local follicular metabolism of IO cows with subclinical ketosis, which their interaction relationship needs to be further confirmed.


2021 ◽  
Vol 2021 ◽  
pp. 1-15
Author(s):  
Nankun Qin ◽  
Yue Jiang ◽  
Wenjun Shi ◽  
Liting Wang ◽  
Lingbo Kong ◽  
...  

Hyperuricemia (HUA) as a metabolic disease is closely associated with metabolic disorders. The etiology and pathogenesis of HUA are not fully understood, so there is no radical cure so far. Metabolomics, a specialized study of endogenous small molecule substances, has become a powerful tool for metabolic pathway analysis of selected differential metabolites, which is helpful for initially revealing possible development mechanisms of various human diseases. Twenty HUA patients and 20 healthy individuals participated in the experiment, and ultrahigh performance liquid chromatography coupled with quadrupole time-of-flight tandem mass spectrometry (UPLC-Q-TOF/MS) was employed to investigate serum samples to find differential metabolites. The statistical techniques used were principal component analysis and orthogonal partial least-squares discriminant analysis. The differences in metabolomics results of samples after pretreatment with different solvents were compared, 38, 20, 26, 28, 33, 50, and 40 potential differential metabolites were found, respectively, in HUA patient samples, and each group involved different metabolic pathways. Repetitive metabolites were removed, 138 differential metabolites in HUA serum were integrated for analysis, and the human body was affected by 7 metabolic pathways of glycerophospholipid metabolism, sphingolipid metabolism, arachidonic acid metabolism, linoleic acid metabolism, phenylalanine metabolism, phenylalanine, tyrosine and tryptophan biosynthesis, and α-linolenic acid metabolism. In this work, the metabolomics approach based on UPLC-Q-TOF/MS was employed to investigate serum metabolic changes in HUA patients, 138 potential differential metabolites related to HUA were identified, which provided associations of lipids, amino acids, fatty acids, organic acids, and nucleosides profiles of HUA individuals. Metabolic pathways involved in glycerophospholipid metabolism, sphingolipid metabolism, arachidonic acid metabolism, linoleic acid metabolism, phenylalanine metabolism, phenylalanine, tyrosine and tryptophan biosynthesis, and a-linolenic acid metabolism shed light on the understanding of the etiology and pathogenesis process of HUA.


2007 ◽  
Vol 82 (1-2) ◽  
pp. 42-50 ◽  
Author(s):  
P. Arunvipas ◽  
J.A. VanLeeuwen ◽  
I.R. Dohoo ◽  
E.R. Leger ◽  
G.P. Keefe ◽  
...  

2021 ◽  
Vol 99 (Supplement_3) ◽  
pp. 171-171
Author(s):  
Matthew R Beck ◽  
Cameron Marshall ◽  
Konagh Garrett ◽  
Andrew P Foote ◽  
Ronaldo Vibart ◽  
...  

Abstract Urine nitrogen excretion (g/d; UN) represent a significant environmental impact for both confinement feeding and pastoral based dairy systems. It is difficult to measure UN directly due to animal handling and labor requirements, especially in forage based production systems. The currently available milk urea nitrogen (MUN) equations have been shown to overestimate UN excretion of grazing dairy cows compared with an equation using urinary creatinine and UN concentration, indicating that diet may alter the relationship between MUN and UN. This potential was explored using data retrieved (treatment means: n = 69 and 27 for fresh forage [FF] and total mixed ration [TMR] fed cattle, respectively) from the literature and new data obtained from dairy cows fed FF (n = 15) in metabolism crates was used to test the new equations. The TMR data from literature was further split into a training set (to develop the model; n = 53) and a test set (to validate the model; n = 16). There was an interaction for diet type (P &lt; 0.01) where UN (g/d) = 0.023 × MUN (mg/dL) × live-weight (kg, LW) for TMR fed cattle, (similar to a pre-established equation); however, UN (g/d) = 0.015 × MUN × LW for FF fed cattle. For FF based equations, the New MUN equation and the creatinine equation showed good precision and accuracy (Lin’s CCC = 0.79 and 0.74, respectively) and adequate predictive ability (RMSEP = 29.8 and 35.9, respectively). The new MUN equation for TMR fed cattle showed excellent accuracy and precision (Lin’s CCC = 0.87) with good predictive ability (RMSEP = 24.3) for UN excretion (observed mean = 216.5 g/d). The new equations generated during this meta-analysis provide promising predictive ability of UN excretion, which can be used for management considerations, future research, and policy making.


2018 ◽  
Vol 2018 ◽  
pp. 1-13 ◽  
Author(s):  
Chao-qun Zhao ◽  
Long Chen ◽  
Hong Cai ◽  
Wei-li Yao ◽  
Qun Zhou ◽  
...  

Objective. This study aimed to analyze the differential metabolites and their metabolic pathways from the serum of patients with hepatitis B cirrhosis, with two typical patterns of Gan Dan Shi Re (GDSR) and Gan Shen Yin Xu (GSYX) based on the theory of traditional Chinese medicine (TCM). It also investigated the variation in the internal material basis for the two types of patterns and provided an objective basis for classifying TCM patterns using metabolomic techniques. Methods. The serum samples taken from 111 qualified patients (40 GDSR cases, 41 GSYX cases, and 30 Latent Pattern (LP) cases with no obvious pattern characters) and 60 healthy volunteers were tested to identify the differential substances relevant to hepatitis B cirrhosis and the two typical TCM patterns under the gas chromatography–time-of-flight mass spectrometry platform. The relevant metabolic pathways of differential substances were analyzed using multidimensional statistical analysis. Results. After excluding the influence of LP groups, six common substances were found in GDSR and GSYX patterns, which were mainly involved in the metabolic pathways of glycine, serine, threonine, and phenylalanine. Eight specific metabolites involved in the metabolic pathways of linoleic, glycine, threonine, and serine existed in the two patterns. Conclusions. The data points on the metabolic spectrum were found to be well distributed among the differential substances between the two typical TCM patterns of patients with hepatitis B cirrhosis using metabolomic techniques. The differential expression of these substances between GDSR and GSYX patterns provided an important objective basis for the scientific nature of TCM pattern classification at the metabolic level.


2019 ◽  
Vol 88 (3) ◽  
pp. 277-285
Author(s):  
Petra Timkovičová Lacková ◽  
Iveta Maskaľová ◽  
Vladimír Vajda

The aim of this study was to evaluate the milk urea content along with the dynamics of lactation and milk components in production dependency in Holstein dairy cows. Evaluation of daily milk yield in relation to milk urea presented a positive regression dependency, which was the strongest in early lactation (r = 0.860; P < 0.001), decreasing in mid lactation (r = 0.329; P < 0.001) and late lactation (r = 0.261; P < 0.001). Evaluation of milk protein in relation to milk urea showed a negative regression dependency, which was the strongest in early lactation (r = -0.850; P < 0.001), decreasing in mid lactation (r = -0.819; P < 0.001) and late lactation (r = -0.679; P < 0.001). The somatic cell counts in relation to milk urea confirmed a negative regression dependency in early lactation (r = -0.635; P < 0.05) and mid lactation (r = -0.818; P < 0.05), but no significance was found in late lactation. The results of the study confirm the influence of production factors (milk quantity and milk components) on the milk urea content. Dependencies found between the production, milk components and milk urea are applicable for the evaluation of protein nutrition and metabolic transformation of nutrients in dairy cows.


2020 ◽  
Vol 98 (3) ◽  
Author(s):  
Yeqing Q Li ◽  
Yumeng M Xi ◽  
Zedong D Wang ◽  
Hanfang F Zeng ◽  
Zhaoyu Han

Abstract Feed intake is a major factor in maintaining the balance between ruminal fermentation and the microbial community of dairy cows. To explore the relationship among feed intake, microbial metabolism, and ruminal fermentation, we examined the combined signatures of the microbiome and metabolome in dairy cows with different feed intake levels. Eighteen dairy cows were allocated to high feed intake (HFI), medium feed intake (MFI), and low feed intake (LFI) groups according to their average daily feed intake. 16S rDNA sequencing results revealed that the relative abundance of Firmicutes in the HFI group was significantly higher than that in the MFI and LFI groups (P &lt; 0.05). The ratio of Bacteroidetes to Firmicutes was significantly lower in the HFI group than in the MFI and LFI groups (P &lt; 0.05). The relative abundance of Lachnospiraceae_unclassified, Veillonellaceae_unclassified, and Saccharofermentants was significantly higher in the HFI group than in the LFI and MFI groups (P &lt; 0.05). The relative abundance of Erysipelotrichaceae_unclassified and Butyrivibrio was significantly higher in the HFI group than in the MFI and LFI groups (P &lt; 0.05). Ultra high performance liquid chromatography-mass spectrometry revealed five key pathways, including the linoleic acid metabolism pathway, alpha-linolenic acid metabolism, arginine and proline metabolism, glutathione metabolism, and valine, leucine, and isoleucine biosynthesis, which are closely related to energy and amino acid metabolism. Linoleic acid, glutamate, alpha-linolenic acid, l-methionine, and l-valine levels were significantly lower in the HFI group than in the MFI and LFI groups (q &lt; 0.05), while the relative content of glutamate was significantly lower in the MFI group than in the LFI group (q &lt; 0.05). Stearic acid content was significantly higher in the HFI group than in the LFI group (q &lt; 0.05). Our findings provide insight into the rumen microbiome of dairy cows with different feed intake and the metabolic pathways closely associated with feed intake in early-lactating cows. The candidates involved in these metabolic pathways may be useful for identifying variations in feed intake. The signatures of the rumen microbiome and metabolome in dairy cows may help make decisions regarding feeding.


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