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多加合物组学：推进用于全面暴露组表征的质谱技术。

Multi-adductomics: Advancing mass spectrometry techniques for comprehensive exposome characterization.

作者信息

Chao Mu-Rong, Chang Yuan-Jhe, Cooke Marcus S, Hu Chiung-Wen

机构信息

Department of Occupational Safety and Health, Chung Shan Medical University, Taichung 402, Taiwan.

Department of Occupational Medicine, Chung Shan Medical University Hospital, Taichung 402, Taiwan.

出版信息

Trends Analyt Chem. 2024 Nov;180. doi: 10.1016/j.trac.2024.117900. Epub 2024 Aug 5.

DOI:10.1016/j.trac.2024.117900
PMID:39246549
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11375889/
Abstract

Adductomics, an emerging field within the 'omics sciences, focuses on the formation and prevalence of DNA, RNA, and protein adducts induced by endogenous and exogenous agents in biological systems. These modifications often result from exposure to environmental pollutants, dietary components, and xenobiotics, impacting cellular functions and potentially leading to diseases such as cancer. This review highlights advances in mass spectrometry (MS) that enhance the detection of these critical modifications and discusses current and emerging trends in adductomics, including developments in MS instrument use, screening techniques, and the study of various biomolecular modifications from mono-adducts to complex hybrid crosslinks between different types of biomolecules. The review also considers challenges, including the need for specialized MS spectra databases and multi-omics integration, while emphasizing techniques to distinguish between exogenous and endogenous modifications. The future of adductomics possesses significant potential for enhancing our understanding of health in relation to environmental exposures and precision medicine.

摘要

加合物组学是“组学”科学中的一个新兴领域，专注于生物系统中内源性和外源性因素诱导的DNA、RNA和蛋白质加合物的形成及普遍性。这些修饰通常源于接触环境污染物、饮食成分和异生物素，影响细胞功能，并可能导致癌症等疾病。本综述重点介绍了质谱（MS）技术的进展，这些进展增强了对这些关键修饰的检测，并讨论了加合物组学的当前和新兴趋势，包括MS仪器使用的发展、筛选技术，以及从单加合物到不同类型生物分子之间复杂杂化交联的各种生物分子修饰的研究。该综述还考虑了挑战，包括对专门的MS光谱数据库和多组学整合的需求，同时强调区分外源性和内源性修饰的技术。加合物组学的未来在增强我们对与环境暴露和精准医学相关的健康的理解方面具有巨大潜力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7d52/11375889/782ae110b0a9/nihms-2017336-f0011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7d52/11375889/572a2e6aaa2a/nihms-2017336-f0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7d52/11375889/108586924c6d/nihms-2017336-f0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7d52/11375889/e6fb5f4d49d7/nihms-2017336-f0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7d52/11375889/90398411547b/nihms-2017336-f0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7d52/11375889/1189e56f0a40/nihms-2017336-f0006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7d52/11375889/06b540355951/nihms-2017336-f0007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7d52/11375889/af8df64fedae/nihms-2017336-f0008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7d52/11375889/03addc07ee80/nihms-2017336-f0009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7d52/11375889/f28bfce853a2/nihms-2017336-f0010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7d52/11375889/782ae110b0a9/nihms-2017336-f0011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7d52/11375889/572a2e6aaa2a/nihms-2017336-f0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7d52/11375889/108586924c6d/nihms-2017336-f0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7d52/11375889/e6fb5f4d49d7/nihms-2017336-f0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7d52/11375889/90398411547b/nihms-2017336-f0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7d52/11375889/1189e56f0a40/nihms-2017336-f0006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7d52/11375889/06b540355951/nihms-2017336-f0007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7d52/11375889/af8df64fedae/nihms-2017336-f0008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7d52/11375889/03addc07ee80/nihms-2017336-f0009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7d52/11375889/f28bfce853a2/nihms-2017336-f0010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7d52/11375889/782ae110b0a9/nihms-2017336-f0011.jpg

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An assessment of AcquireX and Compound Discoverer software 3.3 for non-targeted metabolomics.评估 AcquireX 和 Compound Discoverer 软件 3.3 用于非靶向代谢组学。
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