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A multi-omic analysis of birthweight in newborn cord blood reveals new underlying mechanisms related to cholesterol metabolism

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dc.contributor.author Alfano, Rossella
dc.contributor.author Kogevinas, Manolis
dc.contributor.author Sunyer Deu, Jordi
dc.contributor.author Vrijheid, Martine
dc.contributor.author Plusquin, Michelle
dc.date.accessioned 2020-07-29T06:41:43Z
dc.date.available 2020-07-29T06:41:43Z
dc.date.issued 2020
dc.identifier.citation Alfano R, Chadeau-Hyam M, Ghantous A, Keski-Rahkonen P, Chatzi L, Perez AE et al. A multi-omic analysis of birthweight in newborn cord blood reveals new underlying mechanisms related to cholesterol metabolism. Metabolism. 2020 Jun 15; 110:154292. DOI: 10.1016/j.metabol.2020.154292
dc.identifier.issn 0026-0495
dc.identifier.uri http://hdl.handle.net/10230/45212
dc.description Data de publicació electrònica: 15-06-2020
dc.description.abstract Background: Birthweight reflects in utero exposures and later health evolution. Despite existing studies employing high-dimensional molecular measurements, the understanding of underlying mechanisms of birthweight remains limited. Methods: To investigate the systems biology of birthweight, we cross-sectionally integrated the methylome, the transcriptome, the metabolome and a set of inflammatory proteins measured in cord blood samples, collected from four birth-cohorts (n = 489). We focused on two sets of 68 metabolites and 903 CpGs previously related to birthweight and investigated the correlation structures existing between these two sets and all other omic features via bipartite Pearson correlations. Results: This dataset revealed that the set of metabolome and methylome signatures of birthweight have seven signals in common, including three metabolites [PC(34:2), plasmalogen PC(36:4)/PC(O-36:5), and a compound with m/z of 781.0545], two CpGs (on the DHCR24 and SC4MOL gene), and two proteins (periostin and CCL22). CCL22, a macrophage-derived chemokine has not been previously identified in relation to birthweight. Since the results of the omics integration indicated the central role of cholesterol metabolism, we explored the association of cholesterol levels in cord blood with birthweight in the ENVIRONAGE cohort (n = 1097), finding that higher birthweight was associated with increased high-density lipoprotein cholesterol and that high-density lipoprotein cholesterol was lower in small versus large for gestational age newborns. Conclusions: Our data suggests that an integration of different omic-layers in addition to single omics studies is a useful approach to generate new hypotheses regarding biological mechanisms. CCL22 and cholesterol metabolism in cord blood play a mechanistic role in birthweight.
dc.description.sponsorship This work is supported by the Bijzonder Onderzoeksfonds (BOF) Hasselt University through a PhD fellowship [to RA], the “EXPOsOMICS” grant [grant number 308610-FP7 European Commission to PV], and the “STOP” grant [grant number 774548-European Commission H2020 to PV]. The ENVIRONAGE birth-cohort is supported by the EU Program “Ideas” (ERC-2012-StG-310898) and the FWO (G082317N). Piccolipiù cohort has been funded by the CCM grant 2010 and the Italian Ministry of Health.
dc.format.mimetype application/pdf
dc.language.iso eng
dc.publisher Elsevier
dc.relation.ispartof Metabolism. 2020 Jun 15; 110:154292
dc.rights © 2020 Published by Elsevier Inc. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
dc.rights.uri http://creativecommons.org/licenses/by-nc-nd/4.0/
dc.title A multi-omic analysis of birthweight in newborn cord blood reveals new underlying mechanisms related to cholesterol metabolism
dc.type info:eu-repo/semantics/article
dc.identifier.doi http://dx.doi.org/10.1016/j.metabol.2020.154292
dc.subject.keyword Birth weight
dc.subject.keyword Cholesterol
dc.subject.keyword DNA methylation
dc.subject.keyword Gene expression
dc.subject.keyword Metabolome
dc.subject.keyword Proteins
dc.relation.projectID info:eu-repo/grantAgreement/EC/FP7/ 308610
dc.relation.projectID info:eu-repo/grantAgreement/EC/H2020/774548
dc.relation.projectID info:eu-repo/grantAgreement/EC/FP7/310898
dc.rights.accessRights info:eu-repo/semantics/openAccess
dc.type.version info:eu-repo/semantics/publishedVersion


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