Conventional environmental health studies have primarily focused on limited environmental stressors at the population level, which lacks the power to dissect the complexity and heterogeneity of individualized environmental exposures. Here, as a pilot case study, we integrated deep-profiled longitudinal personal exposome and internal multi-omics to systematically investigate how the exposome shapes a single individual's phenome. We annotated thousands of chemical and biological components in the personal exposome cloud and found they were significantly correlated with thousands of internal biomolecules, which was further cross-validated using corresponding clinical data. Our results showed that agrochemicals and fungi predominated in the highly diverse and dynamic personal exposome, and the biomolecules and pathways related to the individual's immune system, kidney, and liver were highly associated with the personal external exposome. Overall, this data-driven longitudinal monitoring study shows the potential dynamic interactions between the personal exposome and internal multi-omics, as well as the impact of the exposome on precision health by producing abundant testable hypotheses.

中文翻译：

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通过纵向暴露组和多组学分析进行精确的环境健康监测

传统的环境健康研究主要集中在人口层面的有限环境压力因素上，这缺乏剖析个体化环境暴露的复杂性和异质性的能力。在这里，作为试点案例研究，我们整合了深度纵向个人暴露组和内部多组学，以系统地研究暴露组如何塑造单个个体的现象。我们注释了个人暴露组云中的数千种化学和生物成分，发现它们与数千种内部生物分子显着相关，并使用相应的临床数据进一步交叉验证。我们的结果表明，农用化学品和真菌在高度多样化和动态的个人暴露组中占主导地位，与个体免疫系统、肾脏和肝脏相关的生物分子和通路与个体外部暴露体高度相关。总的来说，这项数据驱动的纵向监测研究显示了个人暴露组和内部多组学之间潜在的动态相互作用，以及暴露组通过产生大量可检验的假设对精确健康的影响。