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Use of an Exposome Approach to Understand the Effects of Exposures From the Natural, Built, and Social Environments on Cardio-Vascular Disease Onset, Progression, and Outcomes.

作者信息

Juarez Paul D, Hood Darryl B, Song Min-Ae, Ramesh Aramandla

机构信息

Meharry Medical College, Nashville, TN, United States.

College of Public Health, The Ohio State University, Columbus, OH, United States.

出版信息

Front Public Health. 2020 Aug 12;8:379. doi: 10.3389/fpubh.2020.00379. eCollection 2020.


DOI:10.3389/fpubh.2020.00379
PMID:32903514
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7437454/
Abstract

Obesity, diabetes, and hypertension have increased by epidemic proportions in recent years among African Americans in comparison to Whites resulting in significant adverse cardiovascular disease (CVD) disparities. Today, African Americans are 30% more likely to die of heart disease than Whites and twice as likely to have a stroke. The causes of these disparities are not yet well-understood. Improved methods for identifying underlying risk factors is a critical first step toward reducing Black:White CVD disparities. This article will focus on environmental exposures in the external environment and how they can lead to changes at the cellular, molecular, and organ level to increase the personal risk for CVD and lead to population level CVD racial disparities. The external environment is defined in three broad domains: natural (air, water, land), built (places you live, work, and play) and social (social, demographic, economic, and political). We will describe how environmental exposures in the natural, built, and social environments "get under the skin" to affect gene expression though epigenetic, pan-omics, and related mechanisms that lead to increased risk for adverse CVD health outcomes and population level disparities. We also will examine the important role of metabolomics, proteomics, transcriptomics, genomics, and epigenomics in understanding how exposures in the natural, built, and social environments lead to CVD disparities with implications for clinical, public health, and policy interventions. In this review, we apply an exposome approach to Black:White CVD racial disparities. The exposome is a measure of all the exposures of an individual across the life course and the relationship of those exposures to health effects. The exposome represents the totality of exogenous (external) and endogenous (internal) exposures from conception onwards, simultaneously distinguishing, characterizing, and quantifying etiologic, mediating, moderating, and co-occurring risk and protective factors and their relationship to disease. Specifically, it assesses the biological mechanisms and underlying pathways through which chemical and non-chemical environmental exposures are associated with CVD onset, progression and outcomes. The exposome is a promising approach for understanding the complex relationships among environment, behavior, biology, genetics, and disease phenotypes that underlie population level, Black: White CVD disparities.

摘要
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ede8/7437454/7f2fe73e6883/fpubh-08-00379-g0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ede8/7437454/aaeadd912794/fpubh-08-00379-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ede8/7437454/40b6ab700d4d/fpubh-08-00379-g0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ede8/7437454/fd2003f3f5c8/fpubh-08-00379-g0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ede8/7437454/7f2fe73e6883/fpubh-08-00379-g0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ede8/7437454/aaeadd912794/fpubh-08-00379-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ede8/7437454/40b6ab700d4d/fpubh-08-00379-g0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ede8/7437454/fd2003f3f5c8/fpubh-08-00379-g0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ede8/7437454/7f2fe73e6883/fpubh-08-00379-g0004.jpg

相似文献

[1]
Use of an Exposome Approach to Understand the Effects of Exposures From the Natural, Built, and Social Environments on Cardio-Vascular Disease Onset, Progression, and Outcomes.

Front Public Health. 2020-8-12

[2]
[Application of multiomics mass spectrometry in the research of chemical exposome].

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[3]
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[4]
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[5]
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[6]
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[7]
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[8]
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[9]
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[10]
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引用本文的文献

[1]
One Health and the Exposome: providing insights for wildlife health and reproduction.

F S Rep. 2025-4-15

[2]
Multilevel Racism and Discrimination and Cardiovascular Disease and Related Biopsychosocial Mechanisms: An Integrated Scoping and Literature Review and Future Research Agenda.

Curr Cardiol Rep. 2025-6-4

[3]
Exposomic Determinants of Atherosclerosis: Recent Evidence.

Curr Atheroscler Rep. 2025-1-22

[4]
Association of Cardiovascular Disease and Long-Term Exposure to Fine Particulate Matter (PM) in the Southeastern United States.

Atmosphere (Basel). 2021-7-23

[5]
Health effects of selected environmental Exposomes Across the Life courSe in Indian populations using longitudinal cohort studies: GEOHealth HEALS Study protocol.

BMJ Open. 2024-11-1

[6]
A roadmap to advance exposomics through federation of data.

Exposome. 2023

[7]
Integrating the exposome and one health approach to national health surveillance: an opportunity for Latin American countries in health preventive management.

Front Public Health. 2024

[8]
Social and environmental stressors of cardiometabolic health.

Sci Rep. 2024-6-19

[9]
External exposome and all-cause mortality in European cohorts: the EXPANSE project.

Front Epidemiol. 2024-5-28

[10]
Geospatial Science for the Environmental Epidemiology of Cancer in the Exposome Era.

Cancer Epidemiol Biomarkers Prev. 2024-4-3

本文引用的文献

[1]
Cross-omics analysis revealed gut microbiome-related metabolic pathways underlying atherosclerosis development after antibiotics treatment.

Mol Metab. 2020-6

[2]
Serum metabolites associate with lipid phenotypes among Bogalusa Heart Study participants.

Nutr Metab Cardiovasc Dis. 2020-1-21

[3]
Novel Findings From a Metabolomics Study of Left Ventricular Diastolic Function: The Bogalusa Heart Study.

J Am Heart Assoc. 2020-1-29

[4]
PM-induced inflammation and lipidome alteration associated with the development of atherosclerosis based on a targeted lipidomic analysis.

Environ Int. 2020-1-11

[5]
Integrative analysis of prognostic biomarkers derived from multiomics panels helps discrimination of chronic kidney disease trajectories in people with type 2 diabetes.

Kidney Int. 2019-8-30

[6]
Identification and Validation of Plasma Metabolomics Reveal Potential Biomarkers for Coronary Heart Disease.

Int Heart J. 2019-11-30

[7]
Proteomics and Metabolomics in Kidney Disease, including Insights into Etiology, Treatment, and Prevention.

Clin J Am Soc Nephrol. 2020-3-6

[8]
DNA methylation modules associate with incident cardiovascular disease and cumulative risk factor exposure.

Clin Epigenetics. 2019-10-15

[9]
Cadmium exposure and methylation differences between Whites and African Americans in the NEST Cohort.

Environ Epigenet. 2019-8-29

[10]
Association between a urinary biomarker for exposure to PAH and blood level of the acute phase protein serum amyloid A in coke oven workers.

Environ Health. 2019-9-2

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