1
|
Chao MR, Chang YJ, Cooke MS, Hu CW. Multi-adductomics: Advancing mass spectrometry techniques for comprehensive exposome characterization. Trends Analyt Chem 2024; 180:117900. [PMID: 39246549 PMCID: PMC11375889 DOI: 10.1016/j.trac.2024.117900] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/10/2024]
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.
Collapse
Affiliation(s)
- Mu-Rong Chao
- 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
| | - Yuan-Jhe Chang
- Department of Occupational Safety and Health, Chung Shan Medical University, Taichung 402, Taiwan
| | - Marcus S Cooke
- Oxidative Stress Group, Department of Molecular Biosciences, University of South Florida, Tampa, FL 33620, USA
| | - Chiung-Wen Hu
- Department of Public Health, Chung Shan Medical University, Taichung 402, Taiwan
- Department of Family and Community Medicine, Chung Shan Medical University Hospital, Taichung 402, Taiwan
| |
Collapse
|
2
|
Möller C, Virzi J, Chang YJ, Keidel A, Chao MR, Hu CW, Cooke MS. DNA modifications: Biomarkers for the exposome? ENVIRONMENTAL TOXICOLOGY AND PHARMACOLOGY 2024; 108:104449. [PMID: 38636743 DOI: 10.1016/j.etap.2024.104449] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/12/2024] [Revised: 03/25/2024] [Accepted: 04/12/2024] [Indexed: 04/20/2024]
Abstract
The concept of the exposome is the encompassing of all the environmental exposures, both exogenous and endogenous, across the life course. Many, if not all, of these exposures can result in the generation of reactive species, and/or the modulation of cellular processes, that can lead to a breadth of modifications of DNA, the nature of which may be used to infer their origin. Because of their role in cell function, such modifications have been associated with various major human diseases, including cancer, and so their assessment is crucial. Historically, most methods have been able to only measure one or a few DNA modifications at a time, limiting the information available. With the development of DNA adductomics, which aims to determine the totality of DNA modifications, a far more comprehensive picture of the DNA adduct burden can be gained. Importantly, DNA adductomics can facilitate a "top-down" investigative approach whereby patterns of adducts may be used to trace and identify the originating exposure source. This, together with other 'omic approaches, represents a major tool for unraveling the complexities of the exposome and hence allow a better a understanding of the environmental origins of disease.
Collapse
Affiliation(s)
- Carolina Möller
- Oxidative Stress Group, Department of Molecular Biosciences, University of South Florida, Tampa, FL 33620, USA.
| | - Jazmine Virzi
- Oxidative Stress Group, Department of Molecular Biosciences, University of South Florida, Tampa, FL 33620, USA
| | - Yuan-Jhe Chang
- Department of Occupational Safety and Health, Chung Shan Medical University, Taichung 402, Taiwan
| | - Alexandra Keidel
- Oxidative Stress Group, Department of Molecular Biosciences, University of South Florida, Tampa, FL 33620, USA
| | - Mu-Rong Chao
- 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
| | - Chiung-Wen Hu
- Department of Public Health, Chung Shan Medical University, Taichung 402, Taiwan
| | - Marcus S Cooke
- Oxidative Stress Group, Department of Molecular Biosciences, University of South Florida, Tampa, FL 33620, USA; College of Public Health, University of South Florida, Tampa, FL 33620, USA; Cancer Biology and Evolution Program, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL 33612, USA.
| |
Collapse
|
3
|
Long D, Eade L, Sullivan MP, Dost K, Meier-Menches SM, Goldstone DC, Hartinger CG, Wicker JS, Taškova K. AdductHunter: identifying protein-metal complex adducts in mass spectra. J Cheminform 2024; 16:15. [PMID: 38321500 PMCID: PMC10845562 DOI: 10.1186/s13321-023-00797-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2023] [Accepted: 12/17/2023] [Indexed: 02/08/2024] Open
Abstract
Mass spectrometry (MS) is an analytical technique for molecule identification that can be used for investigating protein-metal complex interactions. Once the MS data is collected, the mass spectra are usually interpreted manually to identify the adducts formed as a result of the interactions between proteins and metal-based species. However, with increasing resolution, dataset size, and species complexity, the time required to identify adducts and the error-prone nature of manual assignment have become limiting factors in MS analysis. AdductHunter is a open-source web-based analysis tool that automates the peak identification process using constraint integer optimization to find feasible combinations of protein and fragments, and dynamic time warping to calculate the dissimilarity between the theoretical isotope pattern of a species and its experimental isotope peak distribution. Empirical evaluation on a collection of 22 unique MS datasetsshows fast and accurate identification of protein-metal complex adducts in deconvoluted mass spectra.
Collapse
Affiliation(s)
- Derek Long
- School of Computer Science, University of Auckland, 1010, Auckland, New Zealand
- Department of Engineering Science, University of Auckland, 1010, Auckland, New Zealand
| | - Liam Eade
- School of Chemical Sciences, University of Auckland, 1142, Auckland, New Zealand
| | - Matthew P Sullivan
- School of Chemical Sciences, University of Auckland, 1142, Auckland, New Zealand
- School of Biological Sciences, University of Auckland, 1142, Auckland, New Zealand
| | - Katharina Dost
- School of Computer Science, University of Auckland, 1010, Auckland, New Zealand
| | - Samuel M Meier-Menches
- Department of Analytical Chemistry, Faculty of Chemistry, University of Vienna, 1090, Vienna, Austria
| | - David C Goldstone
- School of Biological Sciences, University of Auckland, 1142, Auckland, New Zealand
| | | | - Jörg S Wicker
- School of Computer Science, University of Auckland, 1010, Auckland, New Zealand.
| | - Katerina Taškova
- School of Computer Science, University of Auckland, 1010, Auckland, New Zealand
| |
Collapse
|