scholarly journals Plasma metabolic characterisation of dairy cows with inactive ovaries and oestrus during the peak of lactation

2019 ◽  
Vol 63 (3) ◽  
pp. 359-367 ◽  
Author(s):  
Yu-Xi Song ◽  
Pan Hu ◽  
Yun-Long Bai ◽  
Chang Zhao ◽  
Cheng Xia ◽  
...  
Keyword(s):  
Mass Spectrometry ◽  
Dairy Cows ◽  
Cholic Acid ◽  
Metabolic Pathways ◽  
Metabolic Networks ◽  
Dairy Farm ◽  
Signal Transduction Pathways ◽  
Plasma Samples ◽  
Liquid Chromatography Mass Spectrometry ◽  
Multivariate Pattern

Abstract Introduction Differential metabolites (DMs) between cows with inactive ovaries (IO) and oestrous (E) cows were screened and metabolic pathways of DMs associated with IO were determined. Material and Methods Cows at 50 to 60 days (d) postpartum from an intensive dairy farm were randomly selected and allocated into an E group (n = 16) or an IO group (n = 16) according to a pedometer and rectal examinations. Their plasma samples were analysed by liquid chromatography–mass spectrometry (LC–MS) to compare plasma metabolic changes between the E and IO groups. Multivariate pattern recognition was used to screen the DMs in the plasma of IO cows. Results Compared with normal E cows, there were abnormalities in 20 metabolites in IO cows, including a significantly decreased content (VIP > 1, P < 0.05) of cholic acid, p-chlorophenylalanine, and arachidonic acid, and a significantly increased content (VIP > 1, P < 0.05) of tyramine, betaine, L-phenylalanine, L-glutamate, D-proline, L-alanine, and L-pyrophosphate. Five DMs (cholic acid, D-proline, L-glutamate, L-alanine, and L-pyroglutamic acid) with higher variable importance in projection (VIP) values between groups were validated by ELISA with blind samples of re-selected cows (IO, 50 to 60 d postpartum) and the validated results were consistent with the LC–MS results. Conclusion The 20 DMs in IO cows during the peak of lactation indicated that the pathogenesis of IO was involved in complex metabolic networks and signal transduction pathways. This study provides a basis for further exploration of the pathogenesis and prevention of IO in cows in the future.

scholarly journals Plasma Metabolomics of Intermediate and Neovascular Age-Related Macular Degeneration Patients

Cells ◽  
2021 ◽  
Vol 10 (11) ◽  
pp. 3141
Author(s):  
Sabrina L. Mitchell ◽  
Chunyu Ma ◽  
William K. Scott ◽  
Anita Agarwal ◽  
Margaret A. Pericak-Vance ◽  
...  
Keyword(s):  
Mass Spectrometry ◽  
Macular Degeneration ◽  
Pathway Analysis ◽  
Metabolic Pathways ◽  
Age Related Macular Degeneration ◽  
Tandem Mass ◽  
Plasma Samples ◽  
Liquid Chromatography Mass Spectrometry ◽  
Age Related ◽  
Plasma Metabolite

To characterize metabolites and metabolic pathways altered in intermediate and neovascular age-related macular degeneration (IAMD and NVAMD), high resolution untargeted metabolomics was performed via liquid chromatography-mass spectrometry on plasma samples obtained from 91 IAMD patients, 100 NVAMD patients, and 195 controls. Plasma metabolite levels were compared between: AMD patients and controls, IAMD patients and controls, and NVAMD and IAMD patients. Partial least-squares discriminant analysis and linear regression were used to identify discriminatory metabolites. Pathway analysis was performed to determine metabolic pathways altered in AMD. Among the comparisons, we identified 435 unique discriminatory metabolic features. Using computational methods and tandem mass spectrometry, we identified 11 metabolic features whose molecular identities had been previously verified and confirmed the molecular identities of three additional discriminatory features. Included among the discriminatory metabolites were acylcarnitines, phospholipids, amino acids, and steroid metabolites. Pathway analysis revealed that lipid, amino acid, and vitamin metabolism pathways were altered in NVAMD, IAMD, or AMD in general, including the carnitine shuttle pathway which was significantly altered in all comparisons. Finally, few discriminatory features were identified between IAMD patients and controls, suggesting that plasma metabolic profiles of IAMD patients are more similar to controls than to NVAMD patients.

scholarly journals Placental 13C-DHA metabolism and relationship with maternal BMI, glycemia and birthweight

2021 ◽  
Vol 27 (1) ◽  
Author(s):  
Oliver C. Watkins ◽  
Preben Selvam ◽  
Reshma Appukuttan Pillai ◽  
Victoria K. B. Cracknell-Hazra ◽  
Hannah E. J. Yong ◽  
...  
Keyword(s):  
Mass Spectrometry ◽  
Liquid Chromatography ◽  
Lipid Metabolism ◽  
Metabolic Pathways ◽  
Liquid Chromatography Mass Spectrometry ◽  
Fasting Glycemia ◽  
Glucose Treatment ◽  
Maternal Bmi

Abstract Background Fetal docosahexaenoic acid (DHA) supply relies on preferential transplacental transfer, which is regulated by placental DHA lipid metabolism. Maternal hyperglycemia and obesity associate with higher birthweight and fetal DHA insufficiency but the role of placental DHA metabolism is unclear. Methods Explants from 17 term placenta were incubated with 13C-labeled DHA for 48 h, at 5 or 10 mmol/L glucose treatment, and the production of 17 individual newly synthesized 13C-DHA labeled lipids quantified by liquid chromatography mass spectrometry. Results Maternal BMI positively associated with 13C-DHA-labeled diacylglycerols, triacylglycerols, lysophospholipids, phosphatidylcholine and phosphatidylethanolamine plasmalogens, while maternal fasting glycemia positively associated with five 13C-DHA triacylglycerols. In turn, 13C-DHA-labeled phospholipids and triacylglycerols positively associated with birthweight centile. In-vitro glucose treatment increased most 13C-DHA-lipids, but decreased 13C-DHA phosphatidylethanolamine plasmalogens. However, with increasing maternal BMI, the magnitude of the glucose treatment induced increase in 13C-DHA phosphatidylcholine and 13C-DHA lysophospholipids was curtailed, with further decline in 13C-DHA phosphatidylethanolamine plasmalogens. Conversely, with increasing birthweight centile glucose treatment induced increases in 13C-DHA triacylglycerols were exaggerated, while glucose treatment induced decreases in 13C-DHA phosphatidylethanolamine plasmalogens were diminished. Conclusions Maternal BMI and glycemia increased the production of different placental DHA lipids implying impact on different metabolic pathways. Glucose-induced elevation in placental DHA metabolism is moderated with higher maternal BMI. In turn, findings of associations between many DHA lipids with birthweight suggest that BMI and glycemia promote fetal growth partly through changes in placental DHA metabolism.

scholarly journals Mechanistic Insights into Alzheimer’s Disease Unveiled through the Investigation of Disturbances in Central Metabolites and Metabolic Pathways

Biomedicines ◽  
2021 ◽  
Vol 9 (3) ◽  
pp. 298
Author(s):  
Raúl González-Domínguez ◽  
Álvaro González-Domínguez ◽  
Ana Sayago ◽  
Juan Diego González-Sanz ◽  
Alfonso María Lechuga-Sancho ◽  
...  
Keyword(s):  
Mass Spectrometry ◽  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Metabolic Pathways ◽  
Gas Chromatography Mass Spectrometry ◽  
Liquid Chromatography Mass Spectrometry ◽  
Chromatography Mass Spectrometry ◽  
Multiple Primary ◽  
Human Disorders ◽  
Direct Mass Spectrometry

Hydrophilic metabolites are closely involved in multiple primary metabolic pathways and, consequently, play an essential role in the onset and progression of multifactorial human disorders, such as Alzheimer’s disease. This review article provides a comprehensive revision of the literature published on the use of mass spectrometry-based metabolomics platforms for approaching the central metabolome in Alzheimer’s disease research, including direct mass spectrometry, gas chromatography-mass spectrometry, hydrophilic interaction liquid chromatography-mass spectrometry, and capillary electrophoresis-mass spectrometry. Overall, mounting evidence points to profound disturbances that affect a multitude of central metabolic pathways, such as the energy-related metabolism, the urea cycle, the homeostasis of amino acids, fatty acids and nucleotides, neurotransmission, and others.

scholarly journals Analysis of Serum Metabolomics in Rats with Osteoarthritis by Mass Spectrometry

Molecules ◽  
2021 ◽  
Vol 26 (23) ◽  
pp. 7181
Author(s):  
Jingtong Zhao ◽  
Meng Liu ◽  
Tongfei Shi ◽  
Mohan Gao ◽  
Yuqian Lv ◽  
...  
Keyword(s):  
Mass Spectrometry ◽  
Metabolic Pathways ◽  
Acid Metabolism ◽  
Principal Component ◽  
Male Rats ◽  
Control Group ◽  
Liquid Chromatography Mass Spectrometry ◽  
Disease Mechanisms ◽  
Periarticular Tissue ◽  
Serum Metabolomics

Osteoarthritis is a common multifactorial chronic disease that occurs in articular cartilage, subchondral bone, and periarticular tissue. The pathogenesis of OA is still unclear. To investigate the differences in serum metabolites between OA and the control group, liquid chromatography/mass spectrometry (LC/MS)-based metabolomics was used. To reveal the pathogenesis of OA, 12 SD male rats were randomly divided into control and OA groups using collagenase to induce OA for modeling, and serum was collected 7 days after modeling for testing. The OA group was distinguished from the control group by principal component analysis and orthogonal partial least squares-discriminant analysis, and six biomarkers were finally identified. These biomarkers were metabolized through tryptophan metabolism, glutamate metabolism, nitrogen metabolism, spermidine metabolism, and fatty acid metabolism pathways. The study identified metabolites that may be altered in OA, suggesting a role in OA through relevant metabolic pathways. Metabolomics, as an important tool for studying disease mechanisms, provides useful information for studying the metabolic mechanisms of OA.

scholarly journals Rapid lipidomics analysis for sepsis-induced liver injury in rats and insights into lipid metabolic pathways using ultra-performance liquid chromatography/mass spectrometry

RSC Advances ◽  
2019 ◽  
Vol 9 (61) ◽  
pp. 35364-35371
Author(s):  
Qun Liang ◽  
Han Liu ◽  
Xiu-li Li ◽  
Yang Yang ◽  
Panguo Hairong
Keyword(s):  
Mass Spectrometry ◽  
Liquid Chromatography ◽  
Liver Injury ◽  
Metabolic Pathways ◽  
Clinical Medicine ◽  
Ultra Performance Liquid Chromatography ◽  
Liquid Chromatography Mass Spectrometry ◽  
Chromatography Mass Spectrometry ◽  
Identification And Quantification

Lipidomics has been applied in the identification and quantification of molecular lipids within an organism, and to provide insights into mechanisms in clinical medicine.

scholarly journals Differential Proteomics Based on TMT and PRM Reveal the Resistance Response of Bambusa pervariabilis × Dendrocalamopisis grandis Induced by AP-Toxin

Metabolites ◽  
2019 ◽  
Vol 9 (8) ◽  
pp. 166 ◽  
Author(s):  
Qianqian He ◽  
Xinmei Fang ◽  
Tianhui Zhu ◽  
Shan Han ◽  
Hanmingyue Zhu ◽  
...  
Keyword(s):  
Mass Spectrometry ◽  
Liquid Chromatography ◽  
Metabolic Pathways ◽  
Differentially Expressed ◽  
Tandem Mass ◽  
Differentially Expressed Proteins ◽  
Liquid Chromatography Mass Spectrometry ◽  
Chromatography Mass Spectrometry ◽  
Tandem Mass Tag ◽  
Mass Tag

Bambusa pervariabilis McClure × Dendrocalamopsis grandis (Q.H.Dai & X.l.Tao ex Keng f.) Ohrnb. blight is a widespread and dangerous forest fungus disease, and has been listed as a supplementary object of forest phytosanitary measures. In order to study the control of B. pervariabilis × D. grandis blight, this experiment was carried out. In this work, a toxin purified from the pathogen Arthrinium phaeospermum (Corda) Elli, which causes blight in B. pervariabilis × D. grandis, with homologous heterogeneity, was used as an inducer to increase resistance to B. pervariabilis × D. grandis. A functional analysis of the differentially expressed proteins after induction using a tandem mass tag labeling technique was combined with mass spectrometry and liquid chromatography mass spectrometry in order to effectively screen for the proteins related to the resistance of B. pervariabilis × D. grandis to blight. After peptide labeling, a total of 3320 unique peptides and 1791 quantitative proteins were obtained by liquid chromatography mass spectrometry analysis. Annotation and enrichment analysis of these peptides and proteins using the Gene ontology and Kyoto Encyclopedia of Genes and Genomes databases with bioinformatics software show that the differentially expressed protein functional annotation items are mainly concentrated on biological processes and cell components. Several pathways that are prominent in the Kyoto Encyclopedia of Genes and Genomes annotation and enrichment include metabolic pathways, the citrate cycle, and phenylpropanoid biosynthesis. In the Protein-protein interaction networks four differentially expressed proteins-sucrose synthase, adenosine triphosphate-citrate synthase beta chain protein 1, peroxidase, and phenylalanine ammonia-lyase significantly interact with multiple proteins and significantly enrich metabolic pathways. To verify the results of tandem mass tag, the candidate proteins were further verified by parallel reaction monitoring, and the results were consistent with the tandem mass tag data analysis results. It is confirmed that the data obtained by tandem mass tag technology are reliable. Therefore, the differentially expressed proteins and signaling pathways discovered here is the primary concern for subsequent disease resistance studies.

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