The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
Molecular Mechanisms of 4-Hydroxy-2-nonenal and Acrolein Toxicity: Nucleophilic Targets and Adduct Formation
Open accessAbstract
Acrolein and 4-hydroxy-2-nonenal (HNE) are byproducts of lipid peroxidation and are thought to play central roles in various traumatic injuries and disease states that involve cellular oxidative stress, for example, spinal cord trauma, diabetes, and Alzheimer's disease. In this review, we will discuss the chemical attributes of acrolein and HNE that determine their toxicities. Specifically, these aldehydes are classified as type 2 alkenes and are characterized by an alpha,beta-unsaturated carbonyl structure. This structure is a conjugated system that contains mobile pi-electrons. The carbonyl oxygen atom is electronegative and can promote the withdrawal of mobile electron density from the beta-carbon atom causing regional electron deficiency. On the basis of this type of electron polarizability, both acrolein and HNE are considered to be soft electrophiles that preferentially form 1,4-Michael type adducts with soft nucleophiles. Proteomic, quantum mechanical, and kinetic data will be presented, indicating that cysteine sulfhydryl groups are the primary soft nucleophilic targets of acrolein and HNE. This is in contrast to nitrogen groups on harder biological nucleophiles such as lysine or histidine residues. The toxicological outcome of adduct formation is not only dependent upon residue selectivity but also the importance of the targeted amino acid in protein function or structure. In attempting to discern the toxicological significance of a given adduct, we will consider the normal roles of cysteine, lysine, and histidine residues in proteins and the relative merits of corresponding adducts in the manifestations of diseases or toxic states. Understanding the molecular actions of acrolein and HNE could provide insight into many pathogenic conditions that involve initial cellular oxidative stress and could, thereby, offer new efficacious avenues of pharmacological defense.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Oxidative stress and neurodegeneration: where are we now?
Halliwell, B. (2006) · Journal of Neurochemistry · doi:10.1111/j.1471-4159.2006.03907.x · Cited by 2,614
Protein S-nitrosylation: Purview and parameters
Hess, D. T., Matsumoto, A., Kim, S.-O., Marshall, H. E., & Stamler, J. S. (2005) · Nature Reviews Molecular Cell Biology · doi:10.1038/nrm1569 · Cited by 2,153
Stamler (2001) · doi:10.1016/s0092-8674(01)00495-0 · Cited by 1,261
Wakabayashi, N., Dinkova-Kostova, A. T., Holtzclaw, W. D., Kang, M.-I., Kobayashi, A., Yamamoto, M., Kensler, T. W., & Talalay, P. (2004) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0307301101 · Cited by 986
Hard and soft acids and bases—The evolution of a chemical concept
Pearson, R. G. (1990) · Coordination Chemistry Reviews · doi:10.1016/0010-8545(90)85016-l · Cited by 886
Catalá, A. (2009) · Chemistry and Physics of Lipids · doi:10.1016/j.chemphyslip.2008.09.004 · Cited by 745
The chemistry of cell signaling by reactive oxygen and nitrogen species and 4-hydroxynonenal
Forman, H. J., Fukuto, J. M., Miller, T., Zhang, H., Rinna, A., & Levy, S. (2008) · Archives of Biochemistry and Biophysics · doi:10.1016/j.abb.2008.06.011 · Cited by 226
Cited by
Vistoli, G., De Maddis, D., Cipak, A., Zarkovic, N., Carini, M., & Aldini, G. (2013) · Free Radical Research · doi:10.3109/10715762.2013.815348 · Cited by 823
Redox Signaling by Reactive Electrophiles and Oxidants
Parvez, S., Long, M. J. C., Poganik, J. R., & Aye, Y. (2018) · Chemical Reviews · doi:10.1021/acs.chemrev.7b00698 · Cited by 359
Application of the Hard and Soft, Acids and Bases (HSAB) Theory to Toxicant–Target Interactions
LoPachin, R. M., Gavin, T., DeCaprio, A., & Barber, D. S. (2012) · Chemical Research in Toxicology · doi:10.1021/tx2003257 · Cited by 326
Self-citationAn overview of the chemistry and biology of reactive aldehydes
Fritz, K. S., & Petersen, D. R. (2013) · Free Radical Biology and Medicine · doi:10.1016/j.freeradbiomed.2012.06.025 · Cited by 237
Self-citation4-Hydroxynonenal in the Pathogenesis and Progression of Human Diseases
Shoeb, M., Ansari, N., Srivastava, S., & Ramana, K. (2013) · Current Medicinal Chemistry · doi:10.2174/09298673113209990181 · Cited by 230
Metadata
- Authors
- LoPachin, R. M., Gavin, T., Petersen, D. R., & Barber, D. S.
- Venue
- Chemical Research in Toxicology
- Publisher
- American Chemical Society (ACS)
- Published
- 2009-07-17
- Volume
- 22
- Issue
- 9
- Pages
- 1499-1508
- ISSN
- 0893-228X (ISSN-L)
- 1520-5010
- OpenAlex
- W2091193302
- Cited by
- 266
- References
- 7
- FWCI
- 8.64
- Type
- journal article
- Language
- en
- Open access
- green
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.