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呼吁开展人类暴露组计划。

A call for a Human Exposome Project.

作者信息

Hartung Thomas

机构信息

Center for Alternatives to Animal Testing (CAAT), Johns Hopkins University, Bloomberg School of Public Health, Baltimore, MD, USA.

CAAT Europe, University of Konstanz, Konstanz, Germany.

出版信息

ALTEX. 2023;40(1):4-33. doi: 10.14573/altex.2301061.

Abstract

Four decades of the Human Genome Project and its consequences have shown how the entrepreneurial state, through significant investment into science, can drive scientific progress and advance biomedicine. A certain fraction of diseases can now be explained as caused by genetics, and a more significant fraction as impacted by genetics. Besides another fraction caused by pathogens, the third and probably largest impactor is exposure, i.e., the many physicochemical and lifestyle factors. This article makes the case that it is time to start a Human Exposome Project, which systematically explores and catalogs the exposure side of human health and disease. The envisioned Human Exposome Project needs to be more than a scaled exposomics approach, aiming to assess the totality of relevant exposures through ~omics of human body fluids and forming exposure hypotheses. Exposomics is increasingly complemented by exposure science and biomonitoring to measure exposure, mechanistic understanding, human-relevant microphysiological systems, big data, and artificial intelligence (AI) to mine these data and integrate pieces of evidence. The potential impact of AI on a possible Human Exposome Project is so substantial that we should speak of exposome intelligence (EI) because this allows us to expand our limited current knowledge to the big unknown unknowns of threats to human health.

摘要

人类基因组计划的四十年及其成果表明,创业型国家通过对科学的大量投资,能够推动科学进步并促进生物医学发展。现在,一定比例的疾病可被解释为由基因引起,而受基因影响的疾病比例更大。除了由病原体引起的另一部分疾病外,第三个也是可能最大的影响因素是暴露,即众多物理化学和生活方式因素。本文认为,现在是时候启动人类暴露组计划了,该计划将系统地探索和编目人类健康与疾病的暴露方面。设想中的人类暴露组计划需要超越单纯的大规模暴露组学方法,后者旨在通过人体体液组学评估相关暴露的总体情况并形成暴露假设。暴露组学越来越多地得到暴露科学和生物监测的补充,以测量暴露情况,通过与人类相关的微生理系统、大数据和人工智能(AI)来理解作用机制、挖掘这些数据并整合证据。人工智能对可能的人类暴露组计划的潜在影响非常巨大,以至于我们应该称之为暴露组智能(EI),因为这使我们能够将目前有限的知识扩展到对人类健康构成威胁的未知的未知领域。

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