Department of Environmental Health Sciences, University of Michigan School of Public Health, 1415 Washington Heights, Ann Arbor, MI, 48109, USA.
Department of Environmental Health Sciences, University of Michigan School of Public Health, 1415 Washington Heights, Ann Arbor, MI, 48109, USA.
Mol Cell Endocrinol. 2023 Dec 1;578:112046. doi: 10.1016/j.mce.2023.112046. Epub 2023 Aug 19.
Endocrine disrupting chemicals (EDCs) are a diverse group of toxicants detected in populations globally. Prenatal EDC exposures impact birth and childhood outcomes. EDCs work through persistent changes at the molecular, cellular, and organ level. Molecular and biochemical signals or 'omics' can be measured at various functional levels - including the epigenome, transcriptome, proteome, metabolome, and the microbiome. In this narrative review, we introduce each omics and give examples of associations with prenatal EDC exposures. There is substantial research on epigenomic modifications in offspring exposed to EDCs during gestation, and a growing number of studies evaluating the transcriptome, proteome, metabolome, or microbiome in response to these exposures. Multi-omics, integrating data across omics layers, may improve understanding of disrupted function pathways related to early life exposures. We highlight several data integration methods to consider in multi-omics studies. Information from multi-omics can improve understanding of the biological processes and mechanisms underlying prenatal EDC toxicity.
内分泌干扰化学物质(EDCs)是一组在全球人群中检测到的具有多种毒性的化学物质。产前 EDC 暴露会影响出生和儿童期结局。EDCs 通过在分子、细胞和器官水平上的持续变化发挥作用。分子和生化信号或“组学”可以在各种功能水平上进行测量——包括表观基因组、转录组、蛋白质组、代谢组和微生物组。在这篇叙述性综述中,我们介绍了每个组学,并给出了与产前 EDC 暴露相关的例子。有大量关于在怀孕期间暴露于 EDC 的后代中表观基因组修饰的研究,并且越来越多的研究评估了转录组、蛋白质组、代谢组或微生物组对这些暴露的反应。多组学,整合组学层面的数据,可以提高对与早期生活暴露相关的功能途径中断的理解。我们强调了在多组学研究中需要考虑的几种数据整合方法。多组学信息可以提高对产前 EDC 毒性的生物学过程和机制的理解。