Literature DB >> 29401400

Cord Blood Metabolic Signatures of Birth Weight: A Population-Based Study.

Oliver Robinson1, Pekka Keski-Rahkonen2, Leda Chatzi3,4,5, Manolis Kogevinas6,7,8, Tim Nawrot9,10, Costanza Pizzi11, Michelle Plusquin9,10, Lorenzo Richiardi11, Nivonirina Robinot2, Jordi Sunyer6,7,8, Roel Vermeulen12, Martine Vrijheid6,7,8, Paolo Vineis1, Augustin Scalbert2, Marc Chadeau-Hyam1.   

Abstract

Birth weight is an important indicator of maternal and fetal health and a predictor of health in later life. However, the determinants of variance in birth weight are still poorly understood. We aimed to identify the biological pathways, which may be perturbed by environmental exposures, that are important in determining birth weight. We applied untargeted mass-spectrometry-based metabolomics to 481 cord blood samples collected at delivery in four birth cohorts from across Europe: ENVIRONAGE (Belgium), INMA (Spain), Piccolipiu (Italy), and Rhea (Greece). We performed a metabolome-wide association scan for birth weight on over 4000 metabolic features, controlling the false discovery rate at 5%. Annotation of compounds was conducted through reference to authentic standards. We identified 68 metabolites significantly associated with birth weight, including vitamin A, progesterone, docosahexaenoic acid, indolelactic acid, and multiple acylcarnitines and phosphatidylcholines. We observed enrichment (p < 0.05) of the tryptophan metabolism, prostaglandin formation, C21-steroid hormone signaling, carnitine shuttle, and glycerophospholipid metabolism pathways. Vitamin A was associated with both maternal smoking and birth weight, suggesting a mediation pathway. Our findings shed new light on the pathways central to fetal growth and will have implications for antenatal and perinatal care and potentially for health in later life.

Entities:  

Keywords:  birth weight; cord blood; fetal growth; metabolism; metabolomics; pathway perturbation

Mesh:

Substances:

Year:  2018        PMID: 29401400     DOI: 10.1021/acs.jproteome.7b00846

Source DB:  PubMed          Journal:  J Proteome Res        ISSN: 1535-3893            Impact factor:   4.466


  22 in total

Review 1.  [Application of metabolomics in neonatal clinical practice].

Authors:  Qiu-Tong Liu; Xiao-Yun Zhong
Journal:  Zhongguo Dang Dai Er Ke Za Zhi       Date:  2019-09

2.  Multigenerational metabolic profiling in the Michigan PBB registry.

Authors:  Douglas I Walker; M Elizabeth Marder; Yukiko Yano; Metrecia Terrell; Yongliang Liang; Dana Boyd Barr; Gary W Miller; Dean P Jones; Michele Marcus; Kurt D Pennell
Journal:  Environ Res       Date:  2019-02-13       Impact factor: 6.498

3.  IDSL.IPA Characterizes the Organic Chemical Space in Untargeted LC/HRMS Data Sets.

Authors:  Sadjad Fakouri Baygi; Yashwant Kumar; Dinesh Kumar Barupal
Journal:  J Proteome Res       Date:  2022-05-17       Impact factor: 5.370

4.  Longitudinal associations of pre-pregnancy BMI and gestational weight gain with maternal urinary metabolites: an NYU CHES study.

Authors:  Sara E Long; Melanie H Jacobson; Yuyan Wang; Mengling Liu; Yelena Afanasyeva; Susan J Sumner; Susan McRitchie; David R Kirchner; Sara G Brubaker; Shilpi S Mehta-Lee; Linda G Kahn; Leonardo Trasande
Journal:  Int J Obes (Lond)       Date:  2022-04-11       Impact factor: 5.551

5.  Cord Blood Metabolomics: Association With Newborn Anthropometrics and C-Peptide Across Ancestries.

Authors:  Rachel Kadakia; Octavious Talbot; Alan Kuang; James R Bain; Michael J Muehlbauer; Robert D Stevens; Olga R Ilkayeva; Lynn P Lowe; Boyd E Metzger; Christopher B Newgard; Denise M Scholtens; William L Lowe
Journal:  J Clin Endocrinol Metab       Date:  2019-10-01       Impact factor: 5.958

6.  Cord blood metabolites and rapid postnatal growth as multiple mediators in the prenatal propensity to childhood overweight.

Authors:  Rossella Alfano; Michelle Plusquin; Oliver Robinson; Sonia Brescianini; Lida Chatzi; Pekka Keski-Rahkonen; Evangelos Handakas; Lea Maitre; Tim Nawrot; Nivonirina Robinot; Theano Roumeliotaki; Franco Sassi; Augustin Scalbert; Martine Vrijheid; Paolo Vineis; Lorenzo Richiardi; Daniela Zugna
Journal:  Int J Obes (Lond)       Date:  2022-05-04       Impact factor: 5.551

7.  Associations of maternal and infant metabolite profiles with foetal growth and the odds of adverse birth outcomes.

Authors:  Ellis Voerman; Vincent W V Jaddoe; Engy Shokry; George J G Ruijter; Janine F Felix; Berthold Koletzko; Romy Gaillard
Journal:  Pediatr Obes       Date:  2021-08-12       Impact factor: 3.910

8.  The metabolome: A key measure for exposome research in epidemiology.

Authors:  Douglas I Walker; Damaskini Valvi; Nathaniel Rothman; Qing Lan; Gary W Miller; Dean P Jones
Journal:  Curr Epidemiol Rep       Date:  2019-04-26

9.  Prediction of an outcome using NETwork Clusters (NET-C).

Authors:  Jai Woo Lee; Jie Zhou; Erika L Moen; Tracy Punshon; Anne G Hoen; Megan E Romano; Margaret R Karagas; Jiang Gui
Journal:  Comput Biol Chem       Date:  2020-12-08       Impact factor: 2.877

10.  Data Processing Thresholds for Abundance and Sparsity and Missed Biological Insights in an Untargeted Chemical Analysis of Blood Specimens for Exposomics.

Authors:  Dinesh Kumar Barupal; Sadjad Fakouri Baygi; Robert O Wright; Manish Arora
Journal:  Front Public Health       Date:  2021-06-10
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