| Resum: |
Background: Omics technologies are becoming increasingly useful at characterising health status. In terms of environmental epidemiology, omics profiles may confer a source of markers of environmental exposures, especially in the early-years of life, that can be of great use at understanding the molecular mechanisms that link the environmental exposures and the clinical outcomes of children. Objective: To assess the intra- versus the inter-individual variability of omics signatures (proteome, transcriptome, serum and urine metabolome and miRNA) in the short term in 156 children from five European countries. Materials and methods: The population under study are 156 children from the Child Panel Study that belongs to the HELIX project. Blood and urine samples of the children were collected at two different time-points (»6 months), and urine samples were collected twice a day: first morning void and night-time. Proteins, transcripts, miRNA and serum metabolites were measured on blood samples (transcriptome: HTA V. 2. 0, Affymetrix; miRNA: SurePrint Human miRNA rel 21, Agilent; plasma proteins and metabolites: Luminex, cytokines 30-plex, apoliprotein 5-plex and adipokine 15-plex). Urine metabolome was measured using 1H NMR spectroscopy. Results: Mean proportion of variance explained by intra-, inter-individual and variability differs among omics although all of them present the highest variability at the intra-individual level (59% for proteomics, 70% for urine metabolome, 50% for serum metabolome, 63% for miRNA and 84% for transcriptome). Also, within omics, there is diversity among different markers, ones being more explained by one level of variance or another. When biological traits and technical effects are included in the model as explanatory variables, little proportion of variance is attributed to each of them, except for seasonality, that generally accounts for a greater percentage of variation. Conclusion: This study is the first to provide a multi-omics scope in omics variability in the short-term in children population. Intra- and inter-individual variability has been estimated for proteome, transcriptome, miRNA and serum and urine metabolome markers and differences on the behaviour between and within omics has been found. Further studies are needed in order to characterize the most meaningful markers in terms of environmental epidemiology and biological significance. |
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