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Yale school of public health symposium on lifetime exposures and human health: the exposome; summary and future reflections

机译:耶鲁大学终身暴露与人类健康公共卫生学术研讨会:揭秘;总结和未来的反思

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摘要

The exposome is defined as "the totality of environmental exposures encountered from birth to death" and was developed to address the need for comprehensive environmental exposure assessment to better understand disease etiology. Due to the complexity of the exposome, significant efforts have been made to develop technologies for longitudinal, internal and external exposure monitoring, and bioinformatics to integrate and analyze datasets generated. Our objectives were to bring together leaders in the field of exposomics, at a recent Symposium on "Lifetime Exposures and Human Health: The Exposome," held at Yale School of Public Health. Our aim was to highlight the most recent technological advancements for measurement of the exposome, bioinformatics development, current limitations, and future needs in environmental health. In the discussions, an emphasis was placed on moving away from a one-chemical one-health outcome model toward a new paradigm of monitoring the totality of exposures that individuals may experience over their lifetime. This is critical to better understand the underlying biological impact on human health, particularly during windows of susceptibility. Recent advancements in metabolomics and bioinformatics are driving the field forward in biomonitoring and understanding the biological impact, and the technological and logistical challenges involved in the analyses were highlighted. In conclusion, further developments and support are needed for large-scale biomonitoring and management of big data, standardization for exposure and data analyses, bioinformatics tools for co-exposure or mixture analyses, and methods for data sharing.
机译:该暴露体被定义为“从出生到死亡所经历的环境暴露总量”,其开发目的是为了解决对全面的环境暴露评估的需求,以更好地了解疾病病因。由于暴露体的复杂性,已经做出了巨大的努力来开发用于纵向,内部和外部暴露监测以及生物信息学的技术,以集成和分析生成的数据集。我们的目标是在耶鲁大学公共卫生学院举行的“终身暴露与人类健康:暴露”这一专题研讨会上,召集暴露物组学领域的领导者。我们的目标是重点介绍测量暴露,生物信息学发展,当前局限性以及对环境健康的未来需求的最新技术进步。在讨论中,重点放在了从单一化学的一种健康结果模型转向监测个人在其一生中可能经历的暴露总量的新范式。这对于更好地了解对人类健康的潜在生物学影响至关重要,尤其是在易感性窗口期间。代谢组学和生物信息学的最新进展推动了该领域在生物监测和了解生物学影响方面的发展,并强调了分析中涉及的技术和后勤挑战。总之,大规模的生物监测和大数据管理,暴露和数据分析的标准化,共同暴露或混合物分析的生物信息学工具以及数据共享方法需要进一步的发展和支持。

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