Literature DB >> 32197999

A vision for exposome epidemiology: The pregnancy exposome in relation to breast cancer in the Child Health and Development Studies.

Dean P Jones1, Barbara A Cohn2.   

Abstract

Etiology of complex diseases, such as breast cancer, involves multiple genetic, behavioral and environmental factors. Gene sequencing enabled detection of genetic risks with relatively small effect size, and high-resolution metabolomics (HRM) to provide omics level data for exposures is poised to do the same for environmental epidemiology. Coupling HRM to the Child Health and Development Studies (CHDS) cohort combines two unique resources to create a prototype for exposome epidemiology, in which omics scale measures of exposure are used for study of distribution and determinants of health and disease. Using this approach, exposures and biologic responses during pregnancy have been linked to breast cancer in the CHDS. With improved chemical coverage and extension to larger populations and other disease processes, development of exposome epidemiology portends discovery of new disease-associated environment factors with small effect size as well as new capabilities to disentangle these from behavioral and other risk factors.
Copyright © 2020 The Authors. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Developmental toxicology; Environmental health; Exposome biology; Exposome theory; Omics integration; Redox code; Redox theory of development

Mesh:

Year:  2020        PMID: 32197999      PMCID: PMC7306421          DOI: 10.1016/j.reprotox.2020.03.006

Source DB:  PubMed          Journal:  Reprod Toxicol        ISSN: 0890-6238            Impact factor:   3.143


  56 in total

1.  Hierarchical organization of modularity in metabolic networks.

Authors:  E Ravasz; A L Somera; D A Mongru; Z N Oltvai; A L Barabási
Journal:  Science       Date:  2002-08-30       Impact factor: 47.728

2.  Reference Standardization for Mass Spectrometry and High-resolution Metabolomics Applications to Exposome Research.

Authors:  Young-Mi Go; Douglas I Walker; Yongliang Liang; Karan Uppal; Quinlyn A Soltow; ViLinh Tran; Frederick Strobel; Arshed A Quyyumi; Thomas R Ziegler; Kurt D Pennell; Gary W Miller; Dean P Jones
Journal:  Toxicol Sci       Date:  2015-09-09       Impact factor: 4.849

Review 3.  Minireview: Endocrine Disruptors: Past Lessons and Future Directions.

Authors:  Thaddeus T Schug; Anne F Johnson; Linda S Birnbaum; Theo Colborn; Louis J Guillette; David P Crews; Terry Collins; Ana M Soto; Frederick S Vom Saal; John A McLachlan; Carlos Sonnenschein; Jerrold J Heindel
Journal:  Mol Endocrinol       Date:  2016-07-19

4.  Omics Integration for Mitochondria Systems Biology.

Authors:  Xin Hu; Young-Mi Go; Dean P Jones
Journal:  Antioxid Redox Signal       Date:  2020-02-03       Impact factor: 8.401

5.  A practical approach to detect unique metabolic patterns for personalized medicine.

Authors:  Jennifer M Johnson; Tianwei Yu; Frederick H Strobel; Dean P Jones
Journal:  Analyst       Date:  2010-09-13       Impact factor: 4.616

6.  Defining an epigenetic code.

Authors:  Bryan M Turner
Journal:  Nat Cell Biol       Date:  2007-01       Impact factor: 28.824

Review 7.  The Redox Code.

Authors:  Dean P Jones; Helmut Sies
Journal:  Antioxid Redox Signal       Date:  2015-06-01       Impact factor: 8.401

Review 8.  The Redox architecture of physiological function.

Authors:  Jerome Santolini; Stephen A Wootton; Alan A Jackson; Martin Feelisch
Journal:  Curr Opin Physiol       Date:  2019-06

9.  Comment on: 'Hypertensive diseases in pregnancy and breast cancer risk'.

Authors:  Piera M Cirillo; Christopher C Benz; Barbara A Cohn
Journal:  Br J Cancer       Date:  2016-05-03       Impact factor: 7.640

10.  Third Trimester Estrogens and Maternal Breast Cancer: Prospective Evidence.

Authors:  Barbara A Cohn; Piera M Cirillo; Bill R Hopper; Pentti K Siiteri
Journal:  J Clin Endocrinol Metab       Date:  2017-10-01       Impact factor: 6.134

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  1 in total

1.  Large scale enzyme based xenobiotic identification for exposomics.

Authors:  Ken H Liu; Choon M Lee; Grant Singer; Preeti Bais; Francisco Castellanos; Michael H Woodworth; Thomas R Ziegler; Colleen S Kraft; Gary W Miller; Shuzhao Li; Young-Mi Go; Edward T Morgan; Dean P Jones
Journal:  Nat Commun       Date:  2021-09-14       Impact factor: 17.694

  1 in total

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