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Vertical Transfer of Metabolites Detectable from Newborn’s Dried Blood Spot Samples Using UPLC-MS: A Chemometric Study

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TLDR
This study documents vertical transfer of environmental and food-derived metabolites from mother to child and tracking of those metabolites through childhood, which may be of importance for the child’s later health and disease.
Abstract
The pregnancy period and first days of a newborn’s life is an important time window to ensure a healthy development of the baby. This is also the time when the mother and her baby are exposed to the same environmental conditions and intake of nutrients, which can be determined by assessing the blood metabolome. For this purpose, dried blood spots (DBS) of newborns are a valuable sampling technique to characterize what happens during this important mother-child time window. We used metabolomics profiles from DBS of newborns (age 2–3 days) and maternal plasma samples at gestation week 24 and postpartum week 1 from n=664 mother-child pairs of the Copenhagen Prospective Studies on Asthma in Childhood 2010 (COPSAC2010) cohort, to study the vertical mother-child transfer of metabolites. Further, we investigated how persistent the metabolites are from the newborn and up to 6 months, 18 months, and 6 years of age. Two hundred seventy two metabolites from UPLC-MS (Ultra Performance Liquid Chromatography-Mass Spectrometry) analysis of DBS and maternal plasma were analyzed using correlation analysis. A total of 11 metabolites exhibited evidence of transfer (R>0.3), including tryptophan betaine, ergothioneine, cotinine, theobromine, paraxanthine, and N6-methyllysine. Of these, 7 were also found to show persistence in their levels in the child from birth to age 6 years. In conclusion, this study documents vertical transfer of environmental and food-derived metabolites from mother to child and tracking of those metabolites through childhood, which may be of importance for the child’s later health and disease.

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Journal ArticleDOI

Foodomics: A Data-Driven Approach to Revolutionize Nutrition and Sustainable Diets

TL;DR: This work outlines the challenges of evaluating food composition; state-of-the-art omics technology and innovations for the analysis of food; and applies foodomics as a complementary data-driven approach to revolutionize nutrition and sustainable diets.
Journal ArticleDOI

Diet-Derived Antioxidants: The Special Case of Ergothioneine.

TL;DR: A review of the biological roles of ergothioneine (ET) can be found in this article , where the various possible functions of ET in vivo are explored and the evidence for the antioxidant roles of vitamin C and polyphenols such as the flavonoids in vivo is also weak.
Posted ContentDOI

Genome-wide metabolite quantitative trait loci analysis (mQTL) in red blood cells from volunteer blood donors

TL;DR: Metabolite heterogeneity in fresh (<14 day old) RBCs donated by volunteer donors is linked to genetic polymorphisms; it is demonstrated that it is possible to perform metabolomics-scale GWA analyses with a modest, trans-ancestry sample size.
Journal ArticleDOI

Diet‐associated vertically transferred metabolites and risk of asthma, allergy, eczema, and infections in early childhood

TL;DR: In this article , the influence of vertically transferred metabolites on risk of atopic diseases and infections during preschool age was investigated, and the results showed that vertically transferred metabolite transferred from mother to child increased the risk of developing atopic disease.
Journal ArticleDOI

Genome-wide metabolite quantitative trait loci analysis (mQTL) in red blood cells from volunteer blood donors

TL;DR: This paper performed a genome-wide association (GWA) analysis using RBC-Omics study participants with generated untargeted metabolomics data to identify metabolite quantitative trait loci in RBCs.
References
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Journal ArticleDOI

XCMS: processing mass spectrometry data for metabolite profiling using nonlinear peak alignment, matching, and identification.

TL;DR: An LC/MS-based data analysis approach, XCMS, which incorporates novel nonlinear retention time alignment, matched filtration, peak detection, and peak matching, and is demonstrated using data sets from a previously reported enzyme knockout study and a large-scale study of plasma samples.
Journal ArticleDOI

MZmine 2: Modular framework for processing, visualizing, and analyzing mass spectrometry-based molecular profile data

TL;DR: A new generation of a popular open-source data processing toolbox, MZmine 2 is introduced, suitable for processing large batches of data and has been applied to both targeted and non-targeted metabolomic analyses.
Journal ArticleDOI

Sharing and community curation of mass spectrometry data with Global Natural Products Social Molecular Networking

Mingxun Wang, +135 more
- 01 Aug 2016 - 
TL;DR: In GNPS, crowdsourced curation of freely available community-wide reference MS libraries will underpin improved annotations and data-driven social-networking should facilitate identification of spectra and foster collaborations.
Journal ArticleDOI

Probabilistic Quotient Normalization as Robust Method to Account for Dilution of Complex Biological Mixtures. Application in 1H NMR Metabonomics

TL;DR: The probabilistic quotient normalization is introduced in this work, which is based on the calculation of a most probable dilution factor by looking at the distribution of the quotients of the amplitudes of a test spectrum by those of a reference spectrum.
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