Mass spectrometry and 3‐nitrotyrosine: Strategies, controversies, and our current perspective
Abstract
Reactive-nitrogen species (RNS) such as peroxynitrite (ONOO(-)), that is, the reaction product of nitric oxide ((•)NO) and superoxide (O2(-•)), nitryl chloride (NO2Cl) and (•)NO2 react with the activated aromatic ring of tyrosine to form 3-nitrotyrosine. This modification, which has been known for more than a century, occurs to both the free form of the amino acid (i.e., soluble/free tyrosine) and to tyrosine residues covalently bound within the backbone of peptides and proteins. Nitration of tyrosine is thought to be of biological significance and has been linked to health and disease, but determining its role has proved challenging. Several key questions have been the focus of much of the research activity: (a) to what extent is free/soluble tyrosine nitrated in biological tissues and fluids, and (b) are there specific site(s) of nitration within peptides/proteins and to what extent (i.e., stoichiometry) does this modification occur? These issues have been addressed in a wide range of sample types (e.g., blood, urine, CSF, exhaled breath condensate and various tissues) and a diverse array of physiological/pathophysiological scenarios. The accurate determination of nitrated tyrosine is, however, a stumbling block. Despite extensive study, the extent to which nitration occurs in vivo, the specificity of the nitration reaction, and its importance in health and disease, remain unclear. In this review, we highlight the analytical challenges and discuss the approaches adopted to…
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The use of LC-MS/MS for 3-NT detection is not feasible for clinical research because of high costs and low throughput.
“the use of this method is not feasible for clinical research, because of high costs and low throughput”
From Protein oxidation - Formation mechanisms, detection and relevance as biomarkers in human diseases (2021) · cites this paper as [198]
Several limitations of ELISA for 3-NT have been highlighted in the literature, including low sensitivity, minor specificity of applied antibodies, susceptibility to errors, and missing detection of free 3-NT.
“several limitations have been highlighted in the literature, such as low sensitivity, minor specificity of applied antibodies, the susceptibility to errors, or missing detection of free 3-NT”
From Protein oxidation - Formation mechanisms, detection and relevance as biomarkers in human diseases (2021) · cites this paper as [198]
The most accurate detection of 3-NT requires the combination of LC with MS/MS, providing the opportunity to distinguish between free, protein-bound, or total 3-NT.
“The most accurate detection of 3-NT, however, requires the combination of LC with MS/MS providing the opportunity to distinguish between free, protein-bound, or total 3-NT”
From Protein oxidation - Formation mechanisms, detection and relevance as biomarkers in human diseases (2021) · cites this paper as [198]
Cites
Association of Nitrotyrosine Levels With Cardiovascular Disease and Modulation by Statin Therapy
Shishehbor, M. H., Aviles, R. J., Brennan, M.-L., Fu, X., Goormastic, M., Pearce, G. L., Gokce, N., Keaney, J. F., Penn, M. S., Sprecher, D. L., et al. (2003) · JAMA · doi:10.1001/jama.289.13.1675 · Cited by 464 · see citing works
Ahmed, N., & Thornalley, P. J. (2003) · Biochemical Society Transactions · doi:10.1042/bst0311417 · Cited by 152 · see citing works
pH-dependent nitration of para-hydroxyphenylacetic acid in the stomach
Pannala, A. S., Mani, A. R., Rice-Evans, C. A., & Moore, K. P. (2006) · Free Radical Biology and Medicine · doi:10.1016/j.freeradbiomed.2006.05.010 · Cited by 29 · see citing works
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Protein oxidation - Formation mechanisms, detection and relevance as biomarkers in human diseases
Kehm, R., Baldensperger, T., Raupbach, J., & Höhn, A. (2021) · Redox Biology · doi:10.1016/j.redox.2021.101901 · Cited by 348 · see citing works
Tyrosine-nitrated proteins: Proteomic and bioanalytical aspects
Batthyány, C., Bartesaghi, S., Mastrogiovanni, M., Lima, A., Demicheli, V., & Radi, R. (2017) · Antioxidants & Redox Signaling · doi:10.1089/ars.2016.6787 · Cited by 86 · see citing works
- Authors
- Tsikas, D., & Duncan, M. W.
- Affiliations
- Medizinische Hochschule Hannover (DE)
- King Saud University (SA)
- Corresponding author
- Tsikas, Dimitrios
- Duncan, Mark W.
- Venue
- Mass Spectrometry Reviews
- Publisher
- Wiley
- Published
- 2013-10-24
- Volume
- 33
- Issue
- 4
- Pages
- 237-276
- ISSN
- 0277-7037 (ISSN-L)
- 1098-2787
- OpenAlex
- W1519943882
- Cited by
- 76
- References
- 3
- Citations by year
- 2026: 7 · 2025: 3 · 2024: 1 · 2023: 5 · 2022: 8 · 2021: 4 · 2020: 6 · 2019: 4 · 2018: 7 · 2017: 10 · 2016: 6 · 2015: 10 · 2014: 4 · 2013: 1
- FWCI
- 0.66
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Mass Spectrometry Reviews (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Redox biology and oxidative stress
- Physical Sciences › Chemistry › Spectroscopy › Mass Spectrometry Techniques and Applications
- Health Sciences › Medicine › Physiology › Nitric Oxide and Endothelin Effects
- Keywords
- nitrotyrosine, tyrosine nitration, reactive nitrogen species, peroxynitrite, nitric oxide, superoxide, exhaled breath condensate
- MeSH terms
- Amino Acids, Animals, Body Fluids, Carbon Dioxide, Chromatography, High Pressure Liquid, Chromatography, Liquid, Esters, Glutathione, Humans, Hydrogen-Ion Concentration, Gas Chromatography-Mass Spectrometry, Models, Chemical, Phenols, Proteins, Mass Spectrometry, Sulfhydryl Compounds, Tyrosine, Molecular Structure, Nitrosation, Artifacts, Reactive Nitrogen Species, Peroxynitrous Acid, Validation Studies as Topic
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