The Experts below are selected from a list of 106383 Experts worldwide ranked by ideXlab platform
Jianxin Liu - One of the best experts on this subject based on the ideXlab platform.
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Serum metabolome profiling revealed potential biomarkers for milk protein yield in Dairy Cows.
Journal of proteomics, 2018Co-Authors: Hui-zeng Sun, Mingyuan Xue, D.m. Wang, Le Luo Guan, Jianxin LiuAbstract:Abstract Milk yield (MY) and milk protein (MP) content are crucial milk performance traits of Dairy Cows that directly affect the Dairy profits. This study first proposed milk protein yield (MPY) by considering MY and MP content together. Forty multiparous Cows were selected from the 348 Holstein Dairy Cows, which fed the same diet under the same management condition, to investigate the serum metabolome profiles and to identify key metabolites associated with MPY. Among them, 20 Cows with a higher MPY (MY > 34.5 kg/d and MP > 3.2%. i.e., MPY > 1.11 kg/d) were defined as the HH group, and 20 Cows with a lower MPY (MY Biological significance This study reports the application of serum metabolomics to identify biomarkers related to MPY and to reveal the biological pathways affecting milk protein synthesis. Three novel serum biomarkers were discovered to reflect the MPY variation of Dairy Cows, which may be useful in quality control in Dairy cow production and for optimizing industrial production of Dairy products. This study confirms that individual physiological and metabolic differences contribute to the variations in MPY and provides directions for further improving the MPY of Dairy Cows.
Chuang Xu - One of the best experts on this subject based on the ideXlab platform.
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Plasma Protein Comparison between Dairy Cows with Inactive Ovaries and Estrus
Scientific Reports, 2019Co-Authors: Chang Zhao, Shi Shu, Cheng Xia, Yunlong Bai, Dong Wang, Chuang XuAbstract:To screen differentially expressed proteins in the blood Dairy Cows with inactive ovaries caused by a negative energy balance and to determine the roles of the identified proteins in the development of inactive ovaries.Holstein Cows at 14 to 21 days postpartum in an intensive Dairy farm were examined for their energy balance (EB) status by blood β-hydroxybutyrate (BHBA) and assigned to the inactive ovary (IO) group (n = 50) and the normal oestrus control (CON) group (n = 50) at 60 to 90 days postpartum by means of the oestrus manifestation, rectal examination and B-ultrasound examination. Fourteen differentially expressed proteins from 61 proteins in the plasma of Dairy Cows with IOs were identified by iTRAQ/LC-MS/MS and GO, KEGG, and PATHWAY analysis. Eleven expressed proteins were upregulated, and 3 expressed proteins were downregulated. Among the 10 differentially expressed proteins verified by Western blot or ELISA, the relative expression levels of ALDOB, IGFBP2, ITIH3 and LDHB in mixed samples and single samples were consistent with the proteomic protein results. PKM2, GPX3, ALDOB, RBP4 and AHSG were significantly different between the two groups ( P 0.05) but were still downregulated in the ovarian resting group. This study confirmed that 14 plasma differential proteins in the inactive ovaries of postpartum Dairy Cows were associated with follicular development, and these findings provide a foundation for further research on the mechanism and prevention of inactive ovaries in Dairy Cows.
Hui-zeng Sun - One of the best experts on this subject based on the ideXlab platform.
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Serum metabolome profiling revealed potential biomarkers for milk protein yield in Dairy Cows.
Journal of proteomics, 2018Co-Authors: Hui-zeng Sun, Mingyuan Xue, D.m. Wang, Le Luo Guan, Jianxin LiuAbstract:Abstract Milk yield (MY) and milk protein (MP) content are crucial milk performance traits of Dairy Cows that directly affect the Dairy profits. This study first proposed milk protein yield (MPY) by considering MY and MP content together. Forty multiparous Cows were selected from the 348 Holstein Dairy Cows, which fed the same diet under the same management condition, to investigate the serum metabolome profiles and to identify key metabolites associated with MPY. Among them, 20 Cows with a higher MPY (MY > 34.5 kg/d and MP > 3.2%. i.e., MPY > 1.11 kg/d) were defined as the HH group, and 20 Cows with a lower MPY (MY Biological significance This study reports the application of serum metabolomics to identify biomarkers related to MPY and to reveal the biological pathways affecting milk protein synthesis. Three novel serum biomarkers were discovered to reflect the MPY variation of Dairy Cows, which may be useful in quality control in Dairy cow production and for optimizing industrial production of Dairy products. This study confirms that individual physiological and metabolic differences contribute to the variations in MPY and provides directions for further improving the MPY of Dairy Cows.
Chang Zhao - One of the best experts on this subject based on the ideXlab platform.
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Plasma Protein Comparison between Dairy Cows with Inactive Ovaries and Estrus
Scientific Reports, 2019Co-Authors: Chang Zhao, Shi Shu, Cheng Xia, Yunlong Bai, Dong Wang, Chuang XuAbstract:To screen differentially expressed proteins in the blood Dairy Cows with inactive ovaries caused by a negative energy balance and to determine the roles of the identified proteins in the development of inactive ovaries.Holstein Cows at 14 to 21 days postpartum in an intensive Dairy farm were examined for their energy balance (EB) status by blood β-hydroxybutyrate (BHBA) and assigned to the inactive ovary (IO) group (n = 50) and the normal oestrus control (CON) group (n = 50) at 60 to 90 days postpartum by means of the oestrus manifestation, rectal examination and B-ultrasound examination. Fourteen differentially expressed proteins from 61 proteins in the plasma of Dairy Cows with IOs were identified by iTRAQ/LC-MS/MS and GO, KEGG, and PATHWAY analysis. Eleven expressed proteins were upregulated, and 3 expressed proteins were downregulated. Among the 10 differentially expressed proteins verified by Western blot or ELISA, the relative expression levels of ALDOB, IGFBP2, ITIH3 and LDHB in mixed samples and single samples were consistent with the proteomic protein results. PKM2, GPX3, ALDOB, RBP4 and AHSG were significantly different between the two groups ( P 0.05) but were still downregulated in the ovarian resting group. This study confirmed that 14 plasma differential proteins in the inactive ovaries of postpartum Dairy Cows were associated with follicular development, and these findings provide a foundation for further research on the mechanism and prevention of inactive ovaries in Dairy Cows.
Klaus Lønne Ingvartsen - One of the best experts on this subject based on the ideXlab platform.
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Liver protein expression in Dairy Cows with high liver triglycerides in early lactation.
Journal of dairy science, 2012Co-Authors: Henrik Sejersen, Martin Tang Sørensen, Torben Larsen, Emøke Bendixen, Klaus Lønne IngvartsenAbstract:Fatty liver is a frequent subclinical health disorder in Dairy Cows that may lead to disorders related to the liver function. However, the effect of triglyceride (TG) accumulation on liver metabolic pathways is still unclear. The objective was, therefore, to characterize quantitative differences in the liver proteome between early lactation Dairy Cows with a low or high liver TG content. The liver proteome analysis indicated that a high liver TG content in early lactation Dairy Cows is associated with increased oxidation of saturated fatty acids, oxidative stress, and urea synthesis and decreased oxidation of unsaturated fatty acids. Furthermore, liver gluconeogenesis is apparently not impaired by an increased liver TG content. Based on correlations between liver proteins and plasma components, we suggest that future studies investigate the sensitivity and specificity of plasma aspartate aminotransferase, β-hydroxybutyrate, total bilirubin, total bile acids, and γ-glutamyltransferase for potential use as blood-based biomarkers for early detection of fatty liver in Dairy Cows. Our study is the first to study the proteome of Dairy Cows with naturally occurring fatty liver in early lactation.
