Concentrations of Plasma Metabolites, Hormones, and mRNA Abundance of Adipose Leptin and Hormone‐Sensitive Lipase in Ketotic and Nonketotic Dairy Cows

Xia, Cheng; Wang, Z.; Xu, Chuang; Zhang, H.Y.

doi:10.1111/j.1939-1676.2011.00863.x

Cited by 11 publications

(10 citation statements)

References 8 publications

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“…and high energy demands play crucial roles in the pathogenesis of ketosis [24]. Our results revealed that BHBA and acetone were higher in K1, consistent with the findings of other researchers [25]. In amino acid metabolism, the anabolism and catabolism of proteins need to be in dynamic balance to maintain normal physiological functions.…”

Section: Discussionsupporting

confidence: 81%

1H NMR-based Plasma Metabolic Profiling of Dairy Cows with Type I and Type II Ketosis

Li¹

2015

Pharm Anal Acta

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This study identified differences in plasma metabolites among three groups of dairy cows: type I ketotic (K1), type II ketotic (K2), and healthy control cows (C). 50 cows with two or three parities were selected at 7-28 days postpartum. Cows were classified as type I ketotic (K1, 20 cows), type II ketotic (K2, 20 cows), or healthy control cows (C, 10 cows). Plasma metabolomic profiles were analyzed by 1H-nuclear magnetic resonance technology ( 1 H NMR). The data were processed by principal component analysis and orthogonal partial least-squares discriminant analysis (OPLS-DA). Results-The results revealed that OPLS-DA was more effective at distinguishing amongst the three groups. Additionally, there were seven different metabolites between K2 and C, 19 different metabolites between K1 and C, and 24 different metabolites between K1 and K2. Therefore, the combination of 1 H-NMR and multivariate statistical analyses can effectively distinguish the differential metabolites among the K1, K2, and C groups, thereby providing important information on the pathogenesis, early diagnosis, and prevention of type I and type II ketosis in dairy cows. H NMR-based AbstractThis study identified differences in plasma metabolites among three groups of dairy cows: type I ketotic (K1), type II ketotic (K2), and healthy control cows (C). 50 cows with two or three parities were selected at 7-28 days postpartum. Cows were classified as type I ketotic (K1, 20 cows), type II ketotic (K2, 20 cows), or healthy control cows (C, 10 cows). Plasma metabolomic profiles were analyzed by 1H-nuclear magnetic resonance technology ( 1 H NMR). The data were processed by principal component analysis and orthogonal partial least-squares discriminant analysis (OPLS-DA). Results-The results revealed that OPLS-DA was more effective at distinguishing amongst the three groups. Additionally, there were seven different metabolites between K2 and C, 19 different metabolites between K1 and C, and 24 different metabolites between K1 and K2. Therefore, the combination of 1 H-NMR and multivariate statistical analyses can effectively distinguish the differential metabolites among the K1, K2, and C groups, thereby providing important information on the pathogenesis, early diagnosis, and prevention of type I and type II ketosis in dairy cows.

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Section: Discussionsupporting

confidence: 81%

1H NMR-based Plasma Metabolic Profiling of Dairy Cows with Type I and Type II Ketosis

Li¹

2015

Pharm Anal Acta

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“…If the cows had little clinical symptoms and high plasma BHBA concentrations (> 1.20 mmol/L), they were considered to have SK. If the cows had no clinical signs and normal plasma BHBA concentrations (< 1.00 mmol/L), they were considered normal controls (NC) [3,4]. Within 12 h of calving, whole first-morning blood samples were collected and immediately centrifuged at 1400 × g for 10 min at room temperature.…”

Section: Methodsmentioning

confidence: 99%

Plasma metabolomic profiling of dairy cows affected with ketosis using gas chromatography/mass spectrometry

Zhang

et al. 2013

BMC Vet Res

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BackgroundKetosis is an important problem for dairy cows` production performance. However, it is still little known about plasma metabolomics details of dairy ketosis.ResultsA gas chromatography/mass spectrometry (GC/MS) technique was used to investigate plasma metabolic differences in cows that had clinical ketosis (CK, n=22), subclinical ketosis (SK, n=32), or were clinically normal controls (NC, n=22). The endogenous plasma metabolome was measured by chemical derivatization followed by GC/MS, which led to the detection of 267 variables. A two-sample t-test of 30, 32, and 13 metabolites showed statistically significant differences between SK and NC, CK and NC, and CK and SK, respectively. Orthogonal signal correction-partial least-square discriminant analysis (OPLS-DA) revealed that the metabolic patterns of both CK and SK were mostly similar, with the exception of a few differences. The development of CK and SK involved disturbances in many metabolic pathways, mainly including fatty acid metabolism, amino acid metabolism, glycolysis, gluconeogenesis, and the pentose phosphate pathway. A diagnostic model arbitrary two groups was constructed using OPLS-DA and receiver–operator characteristic curves (ROC). Multivariate statistical diagnostics yielded the 19 potential biomarkers for SK and NC, 31 for CK and NC, and 8 for CK and SK with area under the curve (AUC) values. Our results showed the potential biomarkers from CK, SK, and NC, including carbohydrates, fatty acids, amino acids, even sitosterol and vitamin E isomers, etc. 2-piperidinecarboxylic acid and cis-9-hexadecenoic acid were closely associated with metabolic perturbations in ketosis as Glc, BHBA and NEFA for dealing with metabolic disturbances of ketosis in clinical practice. However, further research is needed to explain changes of 2,3,4-trihydroxybutyric acid, 3,4-dihydroxybutyric acid, α-aminobutyric acid, methylmalonic acid, sitosterol and α-tocopherol in CK and SK, and to reveal differences between CK and SK.ConclusionOur study shows that some new biomarkers of ketosis from plasma may find new metabolic changes to have clinically new utility and significance in diagnosis, prognosis, and prevention of ketosis in the future.

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“…Ketosis can be clinically indicated by elevated blood concentrations of ketone bodies, such as β-hydroxybutyrate (BHBA), acetoacetate, and acetone [7][8][9]. Many studies have found that BHBA is a predominant and stable blood ketone body in ruminant ketosis [4,10], which, therefore, has been widely used for clinically diagnosing and classifying ketosis in dairy cows [11].…”

Section: Introductionmentioning

confidence: 99%

Clinical Ketosis-Associated Alteration of Gene Expression in Holstein Cows

Chen

Qin

et al. 2020

Genes

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Ketosis is one of the most prevalent transition metabolic disorders in dairy cows, and has been intrinsically influenced by both genetic and nutritional factors. However, altered gene expression with respective to dairy cow ketosis has not been addressed yet, especially at the genome-wide level. In this study, we recruited nine Holsteins diagnosed with clinical ketosis and ten healthy controls, for which whole blood samples were collected at both prepartum and postpartum. Four groups of blood samples were defined: from cows with ketosis at prepartum (PCK, N = 9) and postpartum (CK, N = 9), respectively, and controls at prepartum (PHC, N = 10) and postpartum (HC, N = 10). RNA-Seq approach was used for investigating gene expression, by which a total of 27,233 genes were quantified with four billion high-quality reads. Subsequently, we revealed 75 and four differentially expressed genes (DEGs) between sick and control cows at postpartum and prepartum, respectively, which indicated that sick and control cows had similar gene expression patterns at prepartum. Meanwhile, there were 95 DEGs between postpartum and prepartum for sick cows, which showed depressed changes of gene expression during this transition period in comparison with healthy cows (428 DEGs). Functional analyses revealed the associated DEGs with ketosis were mainly involved in biological stress response, ion homeostasis, AA metabolism, energy signaling, and disease related pathways. Finally, we proposed that the expression level of STX1A would be potentially used as a new biomarker because it was the only gene that was highly expressed in sick cows at both prepartum and postpartum. These results could significantly help us to understand the underlying molecular mechanisms for incidence and progression of ketosis in dairy cows.

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Concentrations of Plasma Metabolites, Hormones, and mRNA Abundance of Adipose Leptin and Hormone‐Sensitive Lipase in Ketotic and Nonketotic Dairy Cows

Cited by 11 publications

References 8 publications

1H NMR-based Plasma Metabolic Profiling of Dairy Cows with Type I and Type II Ketosis

1H NMR-based Plasma Metabolic Profiling of Dairy Cows with Type I and Type II Ketosis

Plasma metabolomic profiling of dairy cows affected with ketosis using gas chromatography/mass spectrometry

Clinical Ketosis-Associated Alteration of Gene Expression in Holstein Cows

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