Skip to main content

EDITORIAL article

Front. Chem., 21 November 2019
Sec. Analytical Chemistry
This article is part of the Research Topic Mass Spectrometry for Adductomic Analysis View all 6 articles

Editorial: Mass Spectrometry for Adductomic Analysis

  • 1Oxidative Stress Group, Department of Environmental Health Sciences, Florida International University, Miami, FL, United States
  • 2Biomolecular Sciences Institute, Florida International University, Miami, FL, United States
  • 3Department of Public Health, Chung Shan Medical University, Taichung, Taiwan
  • 4Department of Occupational Safety and Health, Chung Shan Medical University, Taichung, Taiwan
  • 5Department of Occupational Medicine, Chung Shan Medical University Hospital, Taichung, Taiwan

Editorial on the Research Topic
Mass Spectrometry for Adductomic Analysis

Individuals are continually exposed to physicochemical agents from the internal and external environments. The majority of these exposures act, at least in part, via the modification of DNA, or proteins, generating a wide range of adducts. DNA (Cooke et al., 2003), and some forms of protein (Barrera et al., 2015), damage impact cellular function, and play a critical role in the pathogenesis of, arguably, all major human diseases. Therefore, the assessment of DNA and protein damage is central to a wide variety of biomedical, and related fields. However, the majority of the literature describes the use of targeted analyses of damage, measuring only single, or a few, adducts, and while of value, this approach fails to reflect the totality of adducts, and therefore exposures.

Adductomics refers to the totality of cellular adducts associated with, to date, proteins (Rappaport et al., 2012), or DNA (Kanaly et al., 2006), and both are considered in the present collection. These untargeted approaches provide a most comprehensive profile of the damage derived from combinations of known and/or unknown exposures and, to some extent, the biological response(s) to such exposures (Chang et al., 2018).

In their mini review, Chen and Li focus on catechol quinone (CQ)-derived protein adducts. The presence of the CQ motif in many biologically relevant molecules (including products of endogenous metabolism, certain foods, drugs, and environmental pollutants), and the fact that CQ-adducted proteins may exhibit cytotoxicity or biological functions different from their unmodified forms, make this class of adducts highly worthy of study, but this is technically challenging. Chen and Li advocate the protein adductomics approach for studying CQ-adducted proteins; for both their characterization, and quantification in blood, as biomarkers of exposure. The authors also provide valuable insight into some of the technical challenges that these analyses present.

In an exciting potential medical application of protein adductomics, Geib et al. characterize the specific adducts formed when the products of acetaminophen (APAP; paracetamol) interact with key cellular defenses against toxicity (the glutathione S-transferases). APAP-induced hepatotoxicity is the most common cause of acute liver failure in the Western world, making it a major public health problem. Metabolism of APAP generates a reactive intermediate which can react with glutathione and protein thiols. LC-MS/MS analysis revealed seven modified cysteine sites, including two unique sites, demonstrating the power of both untargeted and targeted approaches.

The identification of both DNA and protein adducts, discovered during adductomics analysis, is challenging due to the large size of the datasets generated, and the lack of data processing approaches. Whereas, proteomics analysis has benefited from technological advances in mass spectrometry, and bioinformatics, this has yet to fully translate to protein (and DNA) adductomics. Nunes et al., inspired by the workflows used in metabolomics, developed a novel analysis approach for the identification of covalently-modified peptides. The strategy was tested by the analysis of histone-derive adducts from HepG2 and THLE2 cells treated with glycidamide, and the results compared against standard methodology. Crucially, the new strategy identified adducts not seen with the conventional approach, and appears likely to advance the protein adductomics field further.

Although cellular DNA adductomics is less well-established than protein, the field is gaining momentum. In this collection, two reports illustrate the strengths of DNA adductomics, the potential for it to significantly advance our understanding of the links between environmental exposures and disease, and the scope for further methodological and application advances.

Carrà et al. aimed to develop a screening methodology for all known endogenously generated DNA adducts using high resolution data-dependent scanning, an extensive MS2 fragmentation inclusion list of all known endogenous adducts, and neutral loss MS3 triggering to profile all DNA modifications. Crucially, the high sensitivity required to detect some of these low abundance adducts was achieved by decreasing extraneous background signal through pre- and post-DNA hydrolysis steps, and the optimization of several instrument parameters. The success of these improvements was demonstrated in an animal model of lung carcinogenesis. This is a prime example of a concerted approach to refine existing methodology, which can benefit the entire field. Adoption of the lessons learnt from this work should further advance the quality of data, and hence biological significance, achieved by cellular DNA adductomics.

In vitro genotoxicity is a first line test when screening new chemical agents, and is generally performed using high throughput assays. However, confirmation of DNA adduct identities can be a time-consuming and expensive process. For the first time, Takeshita and Kanaly describe an in vitro RNA adductomics approach and, in combination with in vitro DNA adductomics, proposed that these combined may address this issue. This innovative approach was evaluated using Hep G2 cell lines exposed to benzo[a]pyrene, and the modified 2′-deoxynucleosides or ribonucleosides studied by LC/ESI-MS/MS, through neutral loss targeting of the [M + H]+ > [M + H – 116]+ or [M + H]+ > [M + H −132]+ transitions, respectively. The significance of RNA adducts is not fully understood, and while translational mutagenesis has been reported (Stirpe et al., 2017), it is unclear whether or not RNA is repaired (Yan and Zaher, 2019). Consequently, the analysis of RNA adducts is not widespread (although the analysis of urinary 8-oxoguanosine, for example, is becoming more common; Shih et al., 2019). RNA adductomics extends the field to include this class of cellular biomolecule, and we predict that it is likely to shed further light on the biology of RNA damage. Also, consideration should be given to classes of adducts not routinely detectable by current adductomics methodology, such as DNA-DNA crosslinks (Hu et al., 2019), and DNA-protein crosslinks (“crosslinkomics”), the latter being an interesting intersection of the DNA and protein adduct field.

There will always be a place for targeted analyses of adducts. However, with a growing number of means to minimally- (Hwa Yun et al., 2018), or non-invasively (Cooke et al., 2018) undertake adductomics analysis of human samples, the increasing availability of methodology for the more routine LC-QqQ-MS/MS platform, as costs decrease, and data analysis becomes more routine/simpler, we envisage adductomics becoming a more routine procedure.

This collection covers topics representative of a number of key research areas in the field of adductomics. The highly innovative work of these authors, and others, will continue to accelerate adductomic methodologies, and discoveries, all to the benefit of human health.

Author Contributions

All authors listed have made a substantial, direct and intellectual contribution to the work, and approved it for publication.

Conflict of Interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Acknowledgments

The authors gratefully acknowledge support from the Ministry of Science and Technology, Taiwan (grant numbers MOST 106-2314-B-040-015-MY3; NSC 102-2314-B-040-016-MY3), and the National Institute of Environmental Health Sciences of the National Institutes of Health under award number R01ES030557. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.

References

Barrera, G., Pizzimenti, S., Ciamporcero, E. S., Daga, M., Ullio, C., Arcaro, A., Cetrangolo, G. P., et al. (2015). Role of 4-hydroxynonenal-protein adducts in human diseases. Antioxid. Redox Signal. 22, 1681–1702. doi: 10.1089/ars.2014.6166

PubMed Abstract | CrossRef Full Text | Google Scholar

Chang, Y. J., Cooke, M. S., Hu, C. W., and Chao, M. R. (2018). Novel approach to integrated DNA adductomics for the assessment of in vitro and in vivo environmental exposures. Arch. Toxicol. 92, 2665–2680. doi: 10.1007/s00204-018-2252-6

PubMed Abstract | CrossRef Full Text | Google Scholar

Cooke, M. S., Evans, M. D., Dizdaroglu, M., and Lunec, J. (2003). Oxidative DNA damage: mechanisms, mutation, and disease. FASEB J. 17, 1195–1214. doi: 10.1096/fj.02-0752rev

PubMed Abstract | CrossRef Full Text | Google Scholar

Cooke, M. S., Hu, C. W., Chang, Y. J., and Chao, M. R. (2018). Urinary DNA adductomics - A novel approach for exposomics. Environ. Int. 121, 1033–1038. doi: 10.1016/j.envint.2018.10.041

PubMed Abstract | CrossRef Full Text | Google Scholar

Hu, C. W., Chang, Y. J., Cooke, M. S., and Chao, M. R. (2019). DNA crosslinkomics: a tool for the comprehensive assessment of inter-strand crosslinks using high resolution mass spectrometry. Anal Chem. doi: 10.1021/acs.analchem.9b04068. [Epub ahead of print].

CrossRef Full Text | Google Scholar

Hwa Yun, B., Guo, J., Bellamri, M., and Turesky, R. J. (2018). DNA adducts: formation, biological effects, and new biospecimens for mass spectrometric measurements in humans. Mass Spectrom Rev. doi: 10.1002/mas.21570. [Epub ahead of print].

PubMed Abstract | CrossRef Full Text | Google Scholar

Kanaly, R. A., Hanaoka, T., Sugimura, H., Toda, H., Matsui, S., and Matsuda, T. (2006). Development of the adductome approach to detect DNA damage in humans. Antioxid. Redox Signal. 8, 993–1001. doi: 10.1089/ars.2006.8.993

PubMed Abstract | CrossRef Full Text | Google Scholar

Rappaport, S. M., Li, H., Grigoryan, H., Funk, W. E., and Williams, E. R. (2012). Adductomics: characterizing exposures to reactive electrophiles. Toxicol. Lett. 213, 83–90. doi: 10.1016/j.toxlet.2011.04.002

PubMed Abstract | CrossRef Full Text | Google Scholar

Shih, Y. M., Cooke, M. S., Pan, C. H., Chao, M. R., and Hu, C. W. (2019). Clinical relevance of guanine-derived urinary biomarkers of oxidative stress, determined by LC-MS/MS. Redox. Biol. 20, 556–565. doi: 10.1016/j.redox.2018.11.016

PubMed Abstract | CrossRef Full Text | Google Scholar

Stirpe, M., Palermo, V., Ferrari, M., Mroczek, S., Kufel, J., Falcone, C., et al. (2017). Increased levels of RNA oxidation enhance the reversion frequency in aging pro-apoptotic yeast mutants. Apoptosis 22, 200–206. doi: 10.1007/s10495-016-1319-1

PubMed Abstract | CrossRef Full Text | Google Scholar

Yan, L. L., and Zaher, H. S. (2019). How do cells cope with RNA damage and its consequences?. J Biol Chem. doi: 10.1074/jbc.REV119.006513. [Epub ahead of print].

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: DNA, protein, adductomics, adducts, genomic instability, mass spectometry, exposure, disease

Citation: Cooke MS, Hu C-W and Chao M-R (2019) Editorial: Mass Spectrometry for Adductomic Analysis. Front. Chem. 7:794. doi: 10.3389/fchem.2019.00794

Received: 25 September 2019; Accepted: 04 November 2019;
Published: 21 November 2019.

Edited and reviewed by: Tara Louise Pukala, University of Adelaide, Australia

Copyright © 2019 Cooke, Hu and Chao. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Marcus S. Cooke, mcooke@fiu.edu; Chiung-Wen Hu, cwhu0823@gmail.com; Mu-Rong Chao, chaomurong@gmail.com

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.