Literature DB >> 34034040

Human Health Exposure Analysis Resource (HHEAR): A model for incorporating the exposome into health studies.

Susan Marie Viet1, Jill C Falman2, Lori S Merrill1, Elaine M Faustman3, David A Savitz4, Nancy Mervish5, Dana B Barr6, Lisa A Peterson7, Robert Wright5, David Balshaw8, Barbara O'Brien1.   

Abstract

BACKGROUND: Characterizing the complexity of environmental exposures in relation to human health is critical to advancing our understanding of health and disease throughout the life span. Extant cohort studies open the door for such investigations more rapidly and inexpensively than launching new cohort studies and the Human Health Exposure Analysis Resource (HHEAR) provides a resource for implementing life-stage exposure studies within existing study populations. Primary challenges to incorporation of environmental exposure assessment in health studies include: (1) lack of widespread knowledge of biospecimen and environmental sampling and storage requirements for environmental exposure assessment among investigators; (2) lack of availability of and access to laboratories capable of analyzing multiple environmental exposures throughout the life-course; and (3) studies lacking sufficient power to assess associations across life-stages. HHEAR includes a consortium of researchers with expertise in laboratory analyses, statistics and logistics to overcome these limitations and enable inclusion of exposomics in human health studies.
OBJECTIVE: This manuscript describes the structure and strengths of implementing the harmonized HHEAR resource model, and our approaches to addressing challenges. We describe how HHEAR incorporates analyses of biospecimens and environmental samples and human health studies across the life span - serving as a model for incorporating environmental exposures into national and international research. We also present program successes to date. DISCUSSION: HHEAR provides a full-service laboratory and data analysis exposure assessment resource, linking scientific, life span, and toxicological consultation with both laboratory and data analysis expertise. HHEAR services are provided without cost but require NIH, NCI, NHLBI, or ECHO funding of the original cohort; internal HHEAR scientific review and approval of a brief application; and adherence to data sharing and publication policies. We describe the benefits of HHEAR's structure, collaborative framework and coordination across project investigators, analytical laboratories, biostatisticians and bioinformatics specialists; quality assurance/quality control (QA/QC) including integrated sample management; and tools that have been developed to support the research (exposure information pages, ontology, new analytical methods, common QA/QC approach across laboratories, etc.). This foundation supports HHEAR's inclusion of new laboratory and statistical analysis methods and studies that are enhanced by including targeted analysis of specific exposures and untargeted analysis of chemicals associated with phenotypic endpoints in biological and environmental samples.
CONCLUSION: HHEAR is an interdisciplinary team of toxicologists, epidemiologists, laboratory scientists, and data scientists across multiple institutions to address broad and complex questions that benefit from integrated laboratory and data analyses. HHEAR's processes, features, and tools include all life stages and analysis of biospecimens and environmental samples. They are available to the wider scientific community to augment studies by adding state of the art environmental analyses to be linked to human health outcomes.
Copyright © 2021 Elsevier GmbH. All rights reserved.

Entities:  

Keywords:  Data harmonization; Environmental health; Exposure assessment; HHEAR; Human biomonitoring

Mesh:

Year:  2021        PMID: 34034040      PMCID: PMC8205973          DOI: 10.1016/j.ijheh.2021.113768

Source DB:  PubMed          Journal:  Int J Hyg Environ Health        ISSN: 1438-4639            Impact factor:   7.401


  32 in total

1.  The nature of nurture: refining the definition of the exposome.

Authors:  Gary W Miller; Dean P Jones
Journal:  Toxicol Sci       Date:  2013-11-09       Impact factor: 4.849

2.  Extending the Distributed Lag Model framework to handle chemical mixtures.

Authors:  Ghalib A Bello; Manish Arora; Christine Austin; Megan K Horton; Robert O Wright; Chris Gennings
Journal:  Environ Res       Date:  2017-04-03       Impact factor: 6.498

Review 3.  Tobacco, e-cigarettes, and child health.

Authors:  Lisa A Peterson; Stephen S Hecht
Journal:  Curr Opin Pediatr       Date:  2017-04       Impact factor: 2.856

4.  Biomarkers intersect with the exposome.

Authors:  Stephen M Rappaport
Journal:  Biomarkers       Date:  2012-06-07       Impact factor: 2.658

Review 5.  Computational Metabolomics: A Framework for the Million Metabolome.

Authors:  Karan Uppal; Douglas I Walker; Ken Liu; Shuzhao Li; Young-Mi Go; Dean P Jones
Journal:  Chem Res Toxicol       Date:  2016-10-12       Impact factor: 3.739

6.  A Framework to Address Challenges in Communicating the Developmental Origins of Health and Disease.

Authors:  Liana Winett; Lawrence Wallack; Dawn Richardson; Janne Boone-Heinonen; Lynne Messer
Journal:  Curr Environ Health Rep       Date:  2016-09

7.  Lagged kernel machine regression for identifying time windows of susceptibility to exposures of complex mixtures.

Authors:  Shelley H Liu; Jennifer F Bobb; Kyu Ha Lee; Chris Gennings; Birgit Claus Henn; David Bellinger; Christine Austin; Lourdes Schnaas; Martha M Tellez-Rojo; Howard Hu; Robert O Wright; Manish Arora; Brent A Coull
Journal:  Biostatistics       Date:  2018-07-01       Impact factor: 5.899

8.  The National Children's Study Archive Model: A 3-Tier Framework for Dissemination of Data and Specimens for General Use and Secondary Analysis.

Authors:  Peter K Gilbertson; Susan Forrester; Linda Andrews; Kathleen McCann; Lydia Rogers; Christina Park; Jack Moye
Journal:  Front Public Health       Date:  2021-03-05

Review 9.  The Importance of the Biological Impact of Exposure to the Concept of the Exposome.

Authors:  Kristine K Dennis; Scott S Auerbach; David M Balshaw; Yuxia Cui; Margaret Daniele Fallin; Martyn T Smith; Avrum Spira; Susan Sumner; Gary W Miller
Journal:  Environ Health Perspect       Date:  2016-06-03       Impact factor: 9.031

10.  The exposome in practice: Design of the EXPOsOMICS project.

Authors:  P Vineis; M Chadeau-Hyam; H Gmuender; J Gulliver; Z Herceg; J Kleinjans; M Kogevinas; S Kyrtopoulos; M Nieuwenhuijsen; D H Phillips; N Probst-Hensch; A Scalbert; R Vermeulen; C P Wild
Journal:  Int J Hyg Environ Health       Date:  2016-08-19       Impact factor: 5.840

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  5 in total

1.  Understanding exposures and latent disease risk within the National Institute of Environmental Health Sciences Superfund Research Program.

Authors:  Sara M Amolegbe; Danielle J Carlin; Heather F Henry; Michelle L Heacock; Brittany A Trottier; William A Suk
Journal:  Exp Biol Med (Maywood)       Date:  2022-03-07

2.  Defining the Exposome Using Popular Education and Concept Mapping With Communities in Atlanta, Georgia.

Authors:  Erin Lebow-Skelley; Lynne Young; Yomi Noibi; Karla Blaginin; Margaret Hooker; Dana Williamson; Martha Scott Tomlinson; Michelle C Kegler; Melanie A Pearson
Journal:  Front Public Health       Date:  2022-04-12

3.  Integrating Multiscale Geospatial Environmental Data into Large Population Health Studies: Challenges and Opportunities.

Authors:  Yuxia Cui; Kristin M Eccles; Richard K Kwok; Bonnie R Joubert; Kyle P Messier; David M Balshaw
Journal:  Toxics       Date:  2022-07-20

4.  Correlation Analysis of Variables From the Atherosclerosis Risk in Communities Study.

Authors:  Meisha Mandal; Josh Levy; Cataia Ives; Stephen Hwang; Yi-Hui Zhou; Alison Motsinger-Reif; Huaqin Pan; Wayne Huggins; Carol Hamilton; Fred Wright; Stephen Edwards
Journal:  Front Pharmacol       Date:  2022-07-11       Impact factor: 5.988

5.  Selecting External Controls for Internal Cases Using Stratification Score Matching Methods.

Authors:  Stefanie A Busgang; Lance A Waller; Elena Colicino; Ralph D'Agostino; Irva Hertz-Picciotto; Chris Gennings
Journal:  Int J Environ Res Public Health       Date:  2022-02-23       Impact factor: 4.614

  5 in total

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