Analytical challenges and opportunities in the study of endocrine disrupting chemicals within an exposomics framework

IF 5.6 1区 化学 Q1 CHEMISTRY, ANALYTICAL Talanta Pub Date : 2024-07-24 DOI:10.1016/j.talanta.2024.126616
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Abstract

Exposomics aims to measure human exposures throughout the lifespan and the changes they produce in the human body. Exposome-scale studies have significant potential to understand the interplay of environmental factors with complex multifactorial diseases widespread in our society and whose origin remain unclear. In this framework, the study of the chemical exposome aims to cover all chemical exposures and their effects in human health but, today, this goal still seems unfeasible or at least very challenging, which makes the exposome for now only a concept. Furthermore, the study of the chemical exposome faces several methodological challenges such as moving from specific targeted methodologies towards high-throughput multitargeted and non-targeted approaches, guaranteeing the availability and quality of biological samples to obtain quality analytical data, standardization of applied analytical methodologies, as well as the statistical assignment of increasingly complex datasets, or the identification of (un)known analytes.

This review discusses the various steps involved in applying the exposome concept from an analytical perspective. It provides an overview of the wide variety of existing analytical methods and instruments, highlighting their complementarity to develop combined analytical strategies to advance towards the chemical exposome characterization. In addition, this review focuses on endocrine disrupting chemicals (EDCs) to show how studying even a minor part of the chemical exposome represents a great challenge. Analytical strategies applied in an exposomics context have shown great potential to elucidate the role of EDCs in health outcomes. However, translating innovative methods into etiological research and chemical risk assessment will require a multidisciplinary effort. Unlike other review articles focused on exposomics, this review offers a holistic view from the perspective of analytical chemistry and discuss the entire analytical workflow to finally obtain valuable results.

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在暴露组学框架内研究干扰内分泌的化学品所面临的分析挑战和机遇。
暴露组学(Exposomics)旨在测量人类在整个生命周期中所暴露的环境因素及其在人体中产生的变化。暴露组规模的研究具有巨大的潜力,可以了解环境因素与我们社会中普遍存在的复杂的多因素疾病之间的相互作用,而这些疾病的起源至今仍不清楚。在这一框架下,化学品暴露体研究的目标是涵盖所有化学品暴露及其对人体健康的影响,但如今,这一目标似乎仍不可行,或至少非常具有挑战性,这使得暴露体目前还只是一个概念。此外,化学暴露组的研究还面临着一些方法学上的挑战,如从特定的靶向方法转向高通量多靶向和非靶向方法,保证生物样本的可用性和质量以获得高质量的分析数据,应用分析方法的标准化,以及对日益复杂的数据集进行统计分配或识别(未知)分析物。本综述从分析角度讨论了应用暴露组概念所涉及的各个步骤。它概述了现有的各种分析方法和仪器,强调了它们之间的互补性,以便制定综合分析策略,推进化学暴露组表征工作。此外,本综述以干扰内分泌的化学品(EDCs)为重点,说明即使是研究化学品暴露体中的一小部分,也是一项巨大的挑战。在暴露组学背景下应用的分析策略在阐明 EDCs 在健康结果中的作用方面显示出巨大的潜力。然而,将创新方法转化为病因学研究和化学品风险评估需要多学科的共同努力。与其他关注暴露组学的综述文章不同,本综述从分析化学的角度提供了一个整体视角,讨论了最终获得有价值结果的整个分析工作流程。
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来源期刊
Talanta
Talanta 化学-分析化学
CiteScore
12.30
自引率
4.90%
发文量
861
审稿时长
29 days
期刊介绍: Talanta provides a forum for the publication of original research papers, short communications, and critical reviews in all branches of pure and applied analytical chemistry. Papers are evaluated based on established guidelines, including the fundamental nature of the study, scientific novelty, substantial improvement or advantage over existing technology or methods, and demonstrated analytical applicability. Original research papers on fundamental studies, and on novel sensor and instrumentation developments, are encouraged. Novel or improved applications in areas such as clinical and biological chemistry, environmental analysis, geochemistry, materials science and engineering, and analytical platforms for omics development are welcome. Analytical performance of methods should be determined, including interference and matrix effects, and methods should be validated by comparison with a standard method, or analysis of a certified reference material. Simple spiking recoveries may not be sufficient. The developed method should especially comprise information on selectivity, sensitivity, detection limits, accuracy, and reliability. However, applying official validation or robustness studies to a routine method or technique does not necessarily constitute novelty. Proper statistical treatment of the data should be provided. Relevant literature should be cited, including related publications by the authors, and authors should discuss how their proposed methodology compares with previously reported methods.
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