scholarly journals GC/MS and LC/MS Based Serum Metabolomic Analysis of Dairy Cows With Ovarian Inactivity

2021 ◽  
Vol 8 ◽  
Author(s):  
Yunlong Bai ◽  
Yuxi Song ◽  
Jiang Zhang ◽  
Shixin Fu ◽  
Ling Wu ◽  
...  
Keyword(s):  
Mass Spectrometry ◽  
Dairy Cows ◽  
Univariate Analysis ◽  
Time Of Flight ◽  
Clinical Manifestations ◽  
Glutathione Metabolism ◽  
Serum Samples ◽  
Serum Metabolites ◽  
Flight Mass Spectrometry ◽  
Mass Spectrometry Technology

Metabolic disorders may lead to the inactive ovaries of dairy cows during early lactation. However, the detailed metabolic profile of dairy cows with inactive ovaries around 55 days postpartum has not been clearly elucidated. The objective of this study was to investigate the metabolic difference in cows with inactive ovaries and estrus from the perspective of serum metabolites. According to clinical manifestations, B-ultrasound scan, rectal examination, 15 cows were assigned to the estrus group (E; follicular diameter 15–20 mm) and 15 to the inactive ovary group (IO; follicular diameter <8 mm and increased <2 mm within 5 days over two examinations). The blood was collected from the tail vein of the cow to separate serum 55–60 days postpartum, and then milked and fasted in the morning. Serum samples were analyzed using gas chromatography time-of-flight mass spectrometry technology (GC-TOF-MS) and ultra-high-pressure liquid chromatography-quadrupole-time-of-flight mass spectrometry (UHPLC-QTOF-MS). Differences in serum metabolites were identified using multivariate statistical analysis and univariate analysis. Thirty differentially abundant metabolites were identified between the two groups. In cows with inactive ovaries compared with cows in estrus, 20 serum metabolites were significantly higher (beta-cryptoxanthin (p = 0.0012), 9-cis-retinal (p = 0.0030), oxamic acid (p = 0.0321), etc.) while 10 metabolites were significantly lower (monostearin (p = 0.0001), 3-hydroxypropionic acid (p = 0.0005), D-talose (p = 0.0018), etc.). Pathway analysis indicated that the serum differential metabolites of multiparous cows in estrus obtained by the two metabolomics techniques were mainly involved in β-alanine metabolism and steroid biosynthesis metabolism, while other involved metabolic pathways were related to metabolism of glyoxylate; dicarboxylate metabolism; fructose, mannose, glutathione, glycerolipid, glycine, serine, threonine, propanoate, retinol, and pyrimidine metabolism. This indicates that the abnormalities in glucose metabolism, lipid metabolism, amino acid metabolism, and glutathione metabolism of postpartum dairy cows obstructed follicular development.

scholarly journals Metabolomics of Ginger Based on Ultra-Performance Liquid Chromatography Coupled with Quadrupole Time-of-Flight Mass Spectrometry Technology

2020 ◽  
Author(s):  
Hui Yan ◽  
Dongqian Zou ◽  
Guisheng Zhou ◽  
Hanwen Yu ◽  
Penghui Li ◽  
...  
Keyword(s):  
Mass Spectrometry ◽  
Liquid Chromatography ◽  
Quality Evaluation ◽  
Time Of Flight ◽  
Ultra Performance Liquid Chromatography ◽  
Partial Least Square ◽  
Least Square ◽  
Related Factors ◽  
Flight Mass Spectrometry ◽  
Mass Spectrometry Technology

Abstract Objectives Dried ginger and ginger are the same type of medicine and food. The differential components of ginger and dried ginger, dried ginger and ginger charcoal were investigated. Materials and Methods The experimental materials were divided into three sample groups: the ginger group, dried ginger group and ginger charcoal group. The ginger group, dried ginger group and ginger charcoal group were qualitatively analyzed by ultra-performance liquid chromatography coupled with quadrupole time-of-flight mass spectrometry (UPLC-Q-TOF-MS/MS). The data were processed by Marker View Software. Principal component analysis (PCA) and orthogonal partial least-square discriminant analysis (OPLS-DA) were performed with SIMCA 13.0 Software. The differential components of the ginger group and dried ginger group as well as the dried ginger group and ginger charcoal group with a VIP>2 (p<0.05), were identified with PeakView 1.2 Software. Results Ten differential components, including 6-gingerol, 8-gingerol and 10-gingerol, were identified between the ginger group and dried ginger group; 13 differential components, including 6-shogaol, 10-gingerol and zingiberone, were identified between the dried ginger group and ginger charcoal group. Conclusions The main differential components between the ginger group and dried ginger group, dried ginger group and ginger charcoal group were gingerols and diphenylheptanes. Based on metabolomics analysis of the chemical composition of ginger medicinal materials, effects and other related factors, it is recommended that 6-gingerol, 6-shogaol and zingiberone should be used as indicative components for the respective quality evaluation of ginger, dried ginger and ginger charcoal. The results of this study may provide a basis for the reasonable quality evaluation of ginger medicinal materials.

scholarly journals Obesity-Related Metabolomic Analysis of Human Subjects in Black Soybean Peptide Intervention Study by Ultraperformance Liquid Chromatography and Quadrupole-Time-of-Flight Mass Spectrometry

2013 ◽  
Vol 2013 ◽  
pp. 1-11 ◽  
Author(s):  
Min Jung Kim ◽  
Hye Jeong Yang ◽  
Jin Hee Kim ◽  
Chang-Won Ahn ◽  
Jong Ho Lee ◽  
...  
Keyword(s):  
Mass Spectrometry ◽  
Liquid Chromatography ◽  
Dietary Intervention ◽  
Human Subjects ◽  
Time Of Flight ◽  
Test Group ◽  
Ultra Performance Liquid Chromatography ◽  
Serum Samples ◽  
Black Soybean ◽  
Flight Mass Spectrometry

The present study aimed to identify key metabolites related to weight reduction in humans by studying the metabolic profiles of sera obtained from 34 participants who underwent dietary intervention with black soybean peptides (BSP) for 12 weeks. This research is a sequel to our previous work in which the effects of BSP on BMI and blood composition of lipid were investigated. Sera of the study were subjected to ultra performance liquid chromatography and quadrupole time-of-flight mass spectrometry (UPLC-Q-TOF-MS), and the data were analyzed using partial least-squares discriminate analysis (PLS-DA) score plots. Body mass index and percent body fat of the test group were reduced. Levels of betaine, benzoic acid, pyroglutamic acid, pipecolic acid,N-phenylacetamide, uric acid,l-aspartyl-l-phenylalanine, and lysophosphatidyl cholines (lysoPCs) (C18:1, C18:2, C20:1, and C20:4) showed significant increases. Levels ofl-proline, valine,l-leucine/isoleucine, hypoxanthine, glutamine,l-methionine, phenylpyruvic acid, several carnitine derivatives, and lysoPCs (C14:0, PC16:0, C15:0, C16:0, C17:1, C18:0, and C22:0) were significantly decreased. In particular, lysoPC 16:0 with a VIP value of 12.02 is esteemed to be the most important metabolite for evaluating the differences between the 2 serum samples. Our result confirmed weight-lowering effects of BSP, accompanied by favorable changes in metabolites in the subjects’ blood. Therefore, this research enables us to better understand obesity and increases the predictability of the obesity-related risk by studying metabolites present in the blood.

Sign in / Sign up

Export Citation Format

Share Document