Summary of study ST001427

This data is available at the NIH Common Fund's National Metabolomics Data Repository (NMDR) website, the Metabolomics Workbench, https://www.metabolomicsworkbench.org, where it has been assigned Project ID PR000979. The data can be accessed directly via it's Project DOI: 10.21228/M84X3K This work is supported by NIH grant, U2C- DK119886.

See: https://www.metabolomicsworkbench.org/about/howtocite.php

This study contains a large results data set and is not available in the mwTab file. It is only available for download via FTP as data file(s) here.

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Study IDST001427
Study TitleHPLC-(Q)-TOF-MS based study of plasma metabolic profiles differences associated with age in paediatric population using animal model
Study SummaryA deep knowledge about the biological development of children is essential for an appropriate drug administration and dosage in paediatrics. Even though the advances made in developmental biology the information available about organ maturation in the early stages of life is limited. This fact, together with the scarcity of clinical trials in children, sometimes leads to the use of off-label drugs. The best approximation to study organ maturation is analysing tissue samples but their collection requires a very invasive method. For this reason, a surrogate matrix such as plasma, which represents a snapshot of global organ/tissue metabolism, may be a suitable alternative. To test this hypothesis, plasma metabolic profiles from piglets of different ages (newborns, infants, and children) obtained by HPLC-(Q)-TOF-MS at positive and negative ionization modes were here studied. The multiblock principal component analysis used in this work proved to be a useful tool to improve the clustering within groups compared to classical principal component analysis. Furthermore, the separation observed among groups was better resolved by using partial least squares-discriminant analysis, which was validated by bootstrapping and permutation testing. Finally, 27 relevant features in positive and 74 features in negative ionization mode were selected by univariate analysis. Among the significant metabolies, an acylcarnitine and eight glycerophospholipids were annotated. The findings indicate that changes with age in the lipid metabolism, where lysophosphatidylcholine and lysophoshatidylethanolamine are included, might be related with the organ maturation state.
Institute
University of the Basque Country
Last NameAlboniga
First NameOihane E.
AddressBarrio Sarriena s/n
Emailoihaneelena.alboniga@ehu.eus
Phone0034 946 012 686
Submit Date2020-07-16
Num Groups3
Total Subjects36
Num Males18
Num Females18
Raw Data AvailableYes
Raw Data File Type(s).d
Analysis Type DetailLC-MS
Release Date2020-07-30
Release Version1
Oihane E. Alboniga Oihane E. Alboniga
https://dx.doi.org/10.21228/M84X3K
ftp://www.metabolomicsworkbench.org/Studies/ application/zip

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Combined analysis:

Analysis ID AN002385 AN002386
Analysis type MS MS
Chromatography type Reversed phase Reversed phase
Chromatography system Agilent 1200 Agilent 1200
Column Agilent Zorbax SB-C18 (2.1 x 100 mm, 3.5 µm) Agilent Zorbax SB-C18 (2.1 x 100 mm, 3.5 µm)
MS Type ESI ESI
MS instrument type QTOF QTOF
MS instrument name Agilent 6530 QTOF Agilent 6530 QTOF
Ion Mode POSITIVE NEGATIVE
Units Peak Area Peak Area
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