Exposomics as a tool to investigate differences in health and disease by sex and gender.

Exposome Pub Date : 2023-03-21 eCollection Date: 2023-01-01 DOI:10.1093/exposome/osad003
Meghan L Bucher, Faith L Anderson, Yunjia Lai, Jocelyn Dicent, Gary W Miller, Ami R Zota
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Abstract

The health and disease of an individual is mediated by their genetics, a lifetime of environmental exposures, and interactions between the two. Genetic or biological sex, including chromosome composition and hormone expression, may influence both the types and frequency of environmental exposures an individual experiences, as well as the biological responses an individual has to those exposures. Gender identity, which can be associated with social behaviors such as expressions of self, may also mediate the types and frequency of exposures an individual experiences. Recent advances in exposome-level analysis have progressed our understanding of how environmental factors affect health outcomes; however, the relationship between environmental exposures and sex- and gender-specific health remains underexplored. The comprehensive, non-targeted, and unbiased nature of exposomic research provides a unique opportunity to systematically evaluate how environmental exposures interact with biological sex and gender identity to influence health. In this forward-looking narrative review, we provide examples of how biological sex and gender identity influence environmental exposures, discuss how environmental factors may interact with biological processes, and highlight how an intersectional approach to exposomics can provide critical insights for sex- and gender-specific health sciences.

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将 Exposomics 作为研究不同性别健康和疾病差异的工具。
一个人的健康和疾病受其基因、一生所接触的环境以及两者之间的相互作用的影响。遗传或生理性别,包括染色体组成和激素表达,可能会影响个体所经历的环境暴露的类型和频率,以及个体对这些暴露的生理反应。性别认同可能与自我表达等社会行为有关,它也可能影响个体所经历的暴露类型和频率。暴露水平分析的最新进展使我们对环境因素如何影响健康结果有了更深入的了解;然而,环境暴露与特定性别健康之间的关系仍未得到充分探索。暴露组学研究的全面性、非针对性和无偏见性为我们提供了一个独特的机会,可以系统地评估环境暴露如何与生理性别和性别认同相互作用,从而影响健康。在这篇具有前瞻性的叙述性综述中,我们举例说明了生物性别和性别认同如何影响环境暴露,讨论了环境因素如何与生物过程相互作用,并强调了暴露组学的交叉研究方法如何为特定性别的健康科学提供重要见解。
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Exposomics: perfection not required. A long and winding road: Culture change on data sharing in exposomics Interactive data sharing for multiple questionnaire-based exposome-wide association studies and exposome correlations in the Personalized Environment and Genes Study. Questionnaire-based exposome-wide association studies for common diseases in the Personalized Environment and Genes Study. Decoding the exposome: Data science methodologies and implications in Exposome-Wide association studies (ExWASs)
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