Use of Large and Diverse Datasets for 1H NMR Serum Metabolic Profiling of Early Lactation Dairy Cows

Luke, T.D.W.; Pryce, J.E.; Elkins, Aaron; Wales, William J.; Rochfort, Simone

doi:10.3390/metabo10050180

Cited by 11 publications

(12 citation statements)

References 53 publications

(66 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This suggests that alterations in glucogenic precursors, in particular lactate and alanine, are indicative of a perturbed metabolism, not simply negative energy balance. We previously showed that lactate concentration in pasture-fed dairy cows is heavily influenced by herd-specific management factors [43], and as such may not be heavily influenced by genetic factors. Alanine has been shown to be the most important glucogenic amino acid, and the most important gluconeogenic precursor after lactate and propionate, in dairy cows [41].…”

Section: Similarities Between Bhba and Nefamentioning

confidence: 99%

“…A single serum sample was taken from each cow immediately after morning milking (approximately 07:00) according to the protocol described in Luke et al [43]. Cows were fed their concentrate ration as soon as they entered the milking parlour, meaning that samples were collected approximately 10 min after grain feeding.…”

Section: Blood Sample Collection and Reference Biomarker Measurementsmentioning

confidence: 99%

“…Details of the sample preparation and metabolite extraction protocols used in this study can be found in Luke et al [43]. Briefly, 300 µL of serum was (1) mixed with 600 µL of methanol, (2) vortexed, (3) incubated at −20 • C for 20 min, and (4) centrifuged at 11,360× g at 21 • C for 30 min to pellet proteins.…”

Section: Sample Preparation For Nmr Spectroscopymentioning

confidence: 99%

See 2 more Smart Citations

A Tale of Two Biomarkers: Untargeted 1H NMR Metabolomic Fingerprinting of BHBA and NEFA in Early Lactation Dairy Cows

et al. 2020

Self Cite

View full text Add to dashboard Cite

Disorders of energy metabolism, which can result from a failure to adapt to the period of negative energy balance immediately after calving, have significant negative effects on the health, welfare and profitability of dairy cows. The most common biomarkers of energy balance in dairy cows are β-hydroxybutyrate (BHBA) and non-esterified fatty acids (NEFA). While elevated concentrations of these biomarkers are associated with similar negative health and production outcomes, the phenotypic and genetic correlations between them are weak. In this study, we used an untargeted 1H NMR metabolomics approach to investigate the serum metabolomic fingerprints of BHBA and NEFA. Serum samples were collected from 298 cows in early lactation (calibration dataset N = 248, validation N = 50). Metabolomic fingerprinting was done by regressing 1H NMR spectra against BHBA and NEFA concentrations (determined using colorimetric assays) using orthogonal partial least squares regression. Prediction accuracies were high for BHBA models, and moderately high for NEFA models (R2 of external validation of 0.88 and 0.75, respectively). We identified 16 metabolites that were significantly (variable importance of projection score > 1) correlated with the concentration of one or both biomarkers. These metabolites were primarily intermediates of energy, phospholipid, and/or methyl donor metabolism. Of the significant metabolites identified; (1) two (acetate and creatine) were positively correlated with BHBA but negatively correlated with NEFA, (2) nine had similar associations with both BHBA and NEFA, (3) two were correlated with only BHBA concentration, and (4) three were only correlated with NEFA concentration. Overall, our results suggest that BHBA and NEFA are indicative of similar metabolic states in clinically healthy animals, but that several significant metabolic differences exist that help to explain the weak correlations between them. We also identified several metabolites that may be useful intermediate phenotypes in genomic selection for improved metabolic health.

show abstract

Section: Similarities Between Bhba and Nefamentioning

confidence: 99%

Section: Blood Sample Collection and Reference Biomarker Measurementsmentioning

confidence: 99%

Section: Sample Preparation For Nmr Spectroscopymentioning

confidence: 99%

See 1 more Smart Citation

A Tale of Two Biomarkers: Untargeted 1H NMR Metabolomic Fingerprinting of BHBA and NEFA in Early Lactation Dairy Cows

et al. 2020

Self Cite

View full text Add to dashboard Cite

show abstract

“…Wei Xu used 1 H-NMR to identify 14 compounds in whey ( 27 ). Timothy DW used 1 H-NMR to identify 15 differential metabolites in 707 cows serum ( 28 ), and we have previously used 1 H-NMR to identify 32 compounds in the serum of ovarian quiescence cows ( 1 ). Milk should be used to screen biomarker or metabolic alteration of ovary diseases because of its convenience ( 29 ).…”

Section: Introductionmentioning

confidence: 99%

Comparison of Metabolic Alterations in Serum and Milk Whey Between Inactive Ovaries and Estrus Dairy Cows

Bai

et al. 2021

Front. Vet. Sci.

View full text Add to dashboard Cite

Inactive ovaries (IOs) affect the estrus cycle and timed artificial insemination (TAI) efficiency in dairy cows during early lactation. The objective of the experiment was to determine metabolic changes in the serum and milk whey of dairy cows with IO and estrus. Twenty-eight healthy postpartum Holstein cows in similar age, milk production, and body condition were selected at 30 days postpartum for tracking to 70 days postpartum, and estrus performance was recorded through Afi Farm® software. The ovarian status and follicular diameter of dairy cows were examined by an experienced breeder through B-ultrasound and rectal examination. Fourteen normal estrus cows were allocated to control group A and 14 cows with IO to group B, all at 30–70 days postpartum. The serum and milk whey in the two groups of cows at 70 days postpartum were used for non-targeted nuclear magnetic resonance (1H-NMR) analysis to measure the different metabolites of cows with IO. In group B compared with group A at 70 days postpartum, there was an increase in the milk whey of six different metabolites including succinate, creatine phosphate, glycine, myo-inositol, glycolate, and orotate and a decrease in the milk whey of seven metabolites, including alanine, creatinine, o-phosphorylcholine, lactose, taurine, galactose, and glucose-1-phosphate. There was an increase in the serum of group B cows of four differential metabolites, including 3-hydroxybutyrate, acetate, glutamine, and glycine and a decrease in the serum of nine differential metabolites, including alanine, succinate, citrate, creatinine, o-phosphocholine, glucose, myo-inositol, tyrosine, and histidine compared with group A. Group B cows with IO had decreased glucose metabolism and impaired tricarboxylic acid cycle, increased lipid mobilization, and abnormal amino acid metabolism. The study provides a potential prevention strategy for IO in dairy cows in future.

show abstract

“…Targeted and untargeted MS-based metabolomics have also been applied to follow metabolite levels in transition cows in an attempt to identify biomarkers that could evidence early stages of disease [25][26][27][28][29]. Most of these studies have been conducted under confined dairy production systems.…”

Section: Introductionmentioning

confidence: 99%

Monitoring the Transition Period in Dairy Cows through 1H NMR-Based Untargeted Metabolomics

Radcenco

Adrien

Ruprechter

et al. 2021

Dairy

View full text Add to dashboard Cite

The metabolic alterations associated with the increase in milk production make the transition period critical to the health of dairy cows, usually leading to a higher incidence of disease in periparturient animals. In this manuscript, we describe the use of NMR-based untargeted metabolomics to follow how these changes impact the serum metabolome in a group of 28 transition dairy cows with no initial clinical diseases. Principal component analysis (PCA) of serum 1H NMR data from four weeks before calving to 8 weeks after parturition allowed us to clearly identify four stages during the transition period. Pairwise comparisons using orthogonal partial least square discriminant analysis (OPLS-DA) and univariate data analysis led to the identification of 18 metabolites that varied significantly through these stages. Species such as acetate, betaine, and creatine are observed early after calving, while other markers of metabolic stress, including acetone, β-hydroxybutyrate (BHB), and choline, accumulate significantly at the height of milk production. Furthermore, marked variations in the levels of lactate, allantoin, alanine, and other amino acids reveal the activation of different gluconeogenic pathways following parturition. Concomitant with a return to homeostasis, a gradual normalization of the serum metabolome occurs 8 weeks after calving. Correlations of metabolite levels with dietary and metabolic adaptations based on animal parity could also be identified. Overall, these results show that NMR-based chemometric methods are ideally suited to monitor manifestations of metabolic diseases throughout the transition period and to assess the impact of nutritional management schemes on the metabolism of dairy cows.

show abstract

Use of Large and Diverse Datasets for 1H NMR Serum Metabolic Profiling of Early Lactation Dairy Cows

Cited by 11 publications

References 53 publications

A Tale of Two Biomarkers: Untargeted 1H NMR Metabolomic Fingerprinting of BHBA and NEFA in Early Lactation Dairy Cows

A Tale of Two Biomarkers: Untargeted 1H NMR Metabolomic Fingerprinting of BHBA and NEFA in Early Lactation Dairy Cows

Comparison of Metabolic Alterations in Serum and Milk Whey Between Inactive Ovaries and Estrus Dairy Cows

Monitoring the Transition Period in Dairy Cows through 1H NMR-Based Untargeted Metabolomics

Contact Info

Product

Resources

About