Metabolomics-based study of the effect of dietary N-carbamoylglutamic acid addition to heifers in late pregnancy on newborn calves.

It has been demonstrated that supplementing late-gestation cow diets with NCG (N-carbamoylglutamic acid) increases the serum protein level, boosts immunological function, and increases the birth weight of the calves. However, the underlying mechanism remains unclear. In this experiment, 30 late-gestation Angus heifers almost at same conditions were chosen for this experiment. They were randomly divided into two groups of 15 cows each. A basal diet was provided to the control group, and 30 g/(d-head) of NCG was added to the basal diet of the test group (NCG group). Blood samples were collected from the jugular vein after birth and before the end (when the calves were 90 days old) of the experiment for plasma metabolomics analysis. The metabolomics analysis identified 53 metabolites between the NCG group and control group, with 40 significantly up-regulated and 13 significantly down-regulated. Among them, 33 lipids and lipid-like molecules made up 57.89% of all the metabolites that were found. Thirty-three metabolic pathways enriched by metabolites showed p.adjust <0.05, among which glycerophospholipid and sphingolipid metabolism pathways were the most abundant. In conclusion, the addition of NCG in late-gestation cows appears to primarily affect calf growth and development through the regulation of phospholipid metabolism, which plays a role in nerve conduction, brain activity, and cell metabolism and function. This study provides valuable insights into how nutritional supplementation by late-gestation cows might improve the growth and development of newborn calves.

Dynamic changes of rumen bacteria and their fermentative ability in high-producing dairy cows during the late perinatal period.

Background: High-producing dairy cows face varying degrees of metabolic stress and challenges during the late perinatal period, resulting in ruminal bacteria abundance and their fermentative ability occurring as a series of changes. However, the dynamic changes are still not clear. Aims/methods: Ten healthy, high-producing Holstein dairy cows with similar body conditions and the same parity were selected, and ruminal fluid from the dairy cows at postpartum 0, 7, 14, and 21 d was collected before morning feeding. 16S rRNA high-throughput sequencing, GC-MS/MS targeted metabolomics, and UPLC-MS/MS untargeted metabolomics were applied in the study to investigate the dynamic changes within 21 d postpartum. Results: The results displayed that the structures of ruminal bacteria were significantly altered from 0 to 7 d postpartum (R = 0.486, P = 0.002), reflecting the significantly declining abundances of Euryarchaeota and Chloroflexi phyla and Christensenellaceae, Methanobrevibacter, and Flexilinea genera (P < 0.05) and the obviously ascending abundances of Ruminococcaceae, Moryella, Pseudobutyrivibrio, and Prevotellaceae genera at 7 d postpartum (P < 0.05). The structures of ruminal bacteria also varied significantly from 7 to 14 d postpartum (R = 0.125, P = 0.022), reflecting the reducing abundances of Christensenellaceae, Ruminococcaceae, and Moryella genera (P < 0.05), and the elevating abundances of Sharpea and Olsenella genera at 14 d postpartum (P < 0.05). The metabolic profiles of ruminal SCFAs were obviously varied from 0 to 7 d postpartum, resulting in higher levels of propionic acid, butyric acid, and valeric acid at 7 d postpartum (P < 0.05); the metabolic profiles of other ruminal metabolites were significantly shifted from 0 to 7 d postpartum, with 27 significantly elevated metabolites and 35 apparently reduced metabolites (P < 0.05). The correlation analysis indicated that propionic acid was positively correlated with Prevotellaceae and Ruminococcaceae (P < 0.05), negatively correlated with Methanobrevibacter (P < 0.01); butyric acid was positively associated with Prevotellaceae, Ruminococcaceae, and Pseudobutyrivibrio (P < 0.05), negatively associated with Christensenellaceae (P < 0.01); valeric acid was positively linked with Prevotellaceae and Ruminococcaceae (P < 0.05); pyridoxal was positively correlated with Flexilinea and Methanobrevibacter (P < 0.05) and negatively correlated with Ruminococcaceae (P < 0.01); tyramine was negatively linked with Ruminococcaceae (P < 0.01). Conclusion: The findings contribute to the decision of nutritional management and prevention of metabolic diseases in high-producing dairy cows during the late perinatal period.

Influence of Parturition on Rumen Bacteria and SCFAs in Holstein Cows Based on 16S rRNA Sequencing and Targeted Metabolomics.

The rumen fluids from ten cows at Day 3~5 before calving and Day 0 after calving were collected to analyze the composition and quantity of bacterial communities and concentrations of SCFAs. The results showed that the relative abundances of unidentified Lachnospiraceae, Acetitomaculum, Methanobrevibacter, Olsenella, Syntrophococcus, Lachnospira, and Lactobacillus genera were significant increased (p < 0.05), while that of unidentified-Prevotellaceae was notably decreased after calving (p < 0.05). In addition, the concentrations of acetic acid, propionic acid, butyric acid, and caproic acid obviously decreased after calving (p < 0.01). Our findings show that parturition altered the rumen microbiota and their fermentation ability in dairy cows. This study defines a rumen bacteria and metabolic profile of SCFAs associated with parturition in dairy cows.

Integrated Metabolomics and Transcriptome Revealed the Effect of Fermented Lycium barbarum Residue Promoting Ovis aries Immunity.

Lycium barbarum residue contains abundant bioactive nutrients which can be used as feed supplement. The fermentation treatment of plant residue can promote the utilization of nutrients, rumen digestion, and the growth and immunity of animals. Based on ultra-performance liquid chromatography-tandem mass spectrometry (UPLC-MS/MS) metabolomics and in-depth transcriptome analysis, the study tested the mechanisms of Lycium barbarum residue (RW) and fermented Lycium barbarum residue (RFW) on meat quality and immunity of sheep. Fifty-four Tan sheep were randomly divided into control, RFW or RW treatments. Data showed that RFW and RW increased the carcass weight, fat content, ash content and reduced the cooking loss of lamb. RFW performed more significant effects on activating immune-related genes than those of RW. The expression of chemokines and immune-related pathways, such as signaling pathways of interleukin-17 signaling pathway and NOD-like receptor signaling pathway, were elevated in sheep fed RFW. RW increased the diversity in rumen metabolites, especially compositions of lipids, organic acids and organ heterocyclic compounds. RFW affected numerous compounds which are closely correlated with the activation of immune genes. In conclusion, RFW could represent a valuable strategy to improve growth performance and immunity of sheep.

[Study on quality standard of oil-processed Radix Angelica sinensis].

OBJECTIVE: To establish the quality standard of oil-processed Radix Angelica sinensis. METHODS: Combined traditional identification, TLC and fingerprints of wine-processed Radix Angelica sinensis to control quality of oil-processed Radix Angelica sinensis. And referring to China Pharmacopoeia of 2005 edition, water, ash, and extract were also detected. RESULTS: The content of water, total ash, extract representatively was 7.30%, 8.70% and 50.9%. Eleven fingerprint peaks were defined, The eleven common peaks were appointed as fingerprint peaks by analyzing 14 representative samples, all the fingerprint peaks were quantified grounded on the peak of Ferulic acid. and quantified rested on the peak of ferulic acid. CONCLUSION: A multicomponent quantitative method for oil-processed Radix Angelica sinensis is established. The established method is feasible. The quality control standards of the oil-processed Radix Angelica sinensis is normative, systematic and accurate.

[Quality control and discrimination of angelica different processed products based on HPLC fingerprints combined chemometrics methods].

OBJECTIVE: To establish a chemical fingerprint method for reorganizing and validating angelica different processed products. METHOD: A high-performance liquid chromatographic method was developed to establish the fingerprint. Principal component analysis, hierarchical cluster analysis and discriminate analysis were applied to study HPLC finger printing and chemical pattern reorganization. RESULT: There were difference of characteristic peaks and its relative peak area of HPLC fingerprints between different processed products. Fish's discriminate functions were generated by using six selected predictor variables, the tested samples of different processed products were classified with 100% accuracy, and discriminate analysis plots for the five groups were well-resolved. CONCLUSION: The developed HPLC finger print, combined with chemometrics, can accurately identify and validate angelica different processed products, the research provide theoretical basis for the processing mechanism and quality assess of angelica different processed products.

[Establishment of a quality evaluation method for Angelica different processed products from genuine producing areas based on data mining].

The paper reports the development of a quality evaluation method for Angelica different processed products. The data of high-performance liquid chromatography, water, total ash and extract were analyzed with SPSS Clementine 11.0 software. Discriminant analysis (DA) established the classification model and parameter for Angelica different processed products. Fish's discriminant functions of Angelica different processed products were generated using 8 predictor variables selected from 59 indexes. The correct rate of discriminating back substitution is 96.7%. Angelica different processed products can be accurately and reliably recognized and validated with DA of SPSS Clementine 11.0 software.