Metabolomics

Dataset Information

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Plasma 1H-NMR metabolic and amino acid profiles of newborn piglets from two lines divergently selected for residual feed intake


ABSTRACT:

Together with environmental factors, physiological maturity at birth is a major determinant for neonatal survival and postnatal development in mammalian species. Maturity at birth is the outcome of complex mechanisms of intra-uterine development and maturation during the end of gestation. In pig production, piglet preweaning mortality averages 20% of the litter and thus, maturity is a major welfare and economic concern. Here, we used both targeted and untargeted metabolomic approaches to provide a deeper understanding of the maturity in a model of lines of pigs divergently selected on residual feed intake (RFI), previously shown to have contrasted signs of maturity at birth. Analyses were conducted on plasma metabolome of piglets at birth and integrated with other phenotypic characteristics associated to maturity. We confirmed proline and myo-inositol, previously described for their association with delayed growth, as potential markers of maturity. Urea cycle and energy metabolism were found more regulated in piglets from high and low RFI lines, respectively, suggesting a better thermoregulation ability for the low RFI (with higher feed efficiency) piglets.

INSTRUMENT(S): Nuclear Magnetic Resonance (NMR) -

SUBMITTER: Gaëlle Lefort 

PROVIDER: MTBLS2137 | MetaboLights | 2023-02-16

REPOSITORIES: MetaboLights

Dataset's files

Source:
Action DRS
MTBLS2137 Other
FILES Other
a_MTBLS2137_NMR___metabolite_profiling.txt Txt
files-all.json Other
i_Investigation.txt Txt
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Publications

Joint Automatic Metabolite Identification and Quantification of a Set of <sup>1</sup>H NMR Spectra.

Lefort Gaëlle G   Liaubet Laurence L   Marty-Gasset Nathalie N   Canlet Cécile C   Vialaneix Nathalie N   Servien Rémi R  

Analytical chemistry 20210126 5


Metabolomics is a promising approach to characterize phenotypes or to identify biomarkers. It is also easily accessible through NMR, which can provide a comprehensive understanding of the metabolome of any living organisms. However, the analysis of <sup>1</sup>H NMR spectrum remains difficult, mainly due to the different problems encountered to perform automatic identification and quantification of metabolites in a reproducible way. In addition, methods that perform automatic identification and  ...[more]

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