The DOI matches its Crossref record; 202 of the 202 references it cites were found in a registry or an index.
Clinical Relevance of Biomarkers of Oxidative Stress
Open accessAbstract
SIGNIFICANCE: Oxidative stress is considered to be an important component of various diseases. A vast number of methods have been developed and used in virtually all diseases to measure the extent and nature of oxidative stress, ranging from oxidation of DNA to proteins, lipids, and free amino acids. RECENT ADVANCES: An increased understanding of the biology behind diseases and redox biology has led to more specific and sensitive tools to measure oxidative stress markers, which are very diverse and sometimes very low in abundance. CRITICAL ISSUES: The literature is very heterogeneous. It is often difficult to draw general conclusions on the significance of oxidative stress biomarkers, as only in a limited proportion of diseases have a range of different biomarkers been used, and different biomarkers have been used to study different diseases. In addition, biomarkers are often measured using nonspecific methods, while specific methodologies are often too sophisticated or laborious for routine clinical use. FUTURE DIRECTIONS: Several markers of oxidative stress still represent a viable biomarker opportunity for clinical use. However, positive findings with currently used biomarkers still need to be validated in larger sample sizes and compared with current clinical standards to establish them as clinical diagnostics. It is important to realize that oxidative stress is a nuanced phenomenon that is difficult to characterize, and one biomarker is not necessarily better than others. The vast diversity in oxidative stress between diseases and conditions has to be taken into account when selecting the most appropriate biomarker.
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Cites
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Oxidative stress, aging, and diseases
Liguori, I., Russo, G., Curcio, F., Bulli, G., Aran, L., Della-Morte, D., Gargiulo, G., Testa, G., Cacciatore, F., Bonaduce, D., et al. (2018) · Clinical Interventions in Aging · doi:10.2147/cia.s158513 · Cited by 3,979
Sies, H., Berndt, C., & Jones, D. P. (2017) · Annual Review of Biochemistry · doi:10.1146/annurev-biochem-061516-045037 · Cited by 3,520
Targeting the KEAP1-NRF2 system to prevent kidney disease progression
Nezu, M., Suzuki, N., & Yamamoto, M. (2017) · American Journal of Nephrology · doi:10.1159/000475890 · Cited by 3,447
Reactive Oxygen Species, Toxicity, Oxidative Stress, and Antioxidants: Chronic Diseases and Aging
Jomova, K., Raptova, R., Alomar, S. Y., Alwasel, S. H., Nepovimova, E., Kuca, K., & Valko, M. (2023) · Archives of Toxicology · doi:10.1007/s00204-023-03562-9 · Cited by 2,638
Defining roles of specific reactive oxygen species (ROS) in cell biology and physiology
Sies, H., Belousov, V. V., Chandel, N. S., Davies, M. J., Jones, D. P., Mann, G. E., Murphy, M. P., Yamamoto, M., & Winterbourn, C. (2022) · Nature Reviews Molecular Cell Biology · doi:10.1038/s41580-022-00456-z · Cited by 1,735
Metadata
- Authors
- Frijhoff, J., Winyard, P. G., Zarkovic, N., Davies, S. S., Stocker, R., Cheng, D., Knight, A. R., Taylor, E. L., Oettrich, J., Ruskovska, T., Gasparovic, A. C., Cuadrado, A., Weber, D., Poulsen, H. E., Grune, T., Schmidt, H. H. H. W., & Ghezzi, P.
- Venue
- Antioxidants & Redox Signaling
- Publisher
- SAGE Publications
- Published
- 2015-11-10
- Volume
- 23
- Issue
- 14
- Pages
- 1144-1170
- ISSN
- 1523-0864 (ISSN-L)
- 1557-7716
- OpenAlex
- W2139131794
- Cited by
- 909
- References
- 202
- FWCI
- 24.78
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- Frijhoff, J., Winyard, P. G., Zarkovic, N., Davies, S. S., Stocker, R., Cheng, D., Knight, A. R., Taylor, E. L., Oettrich, J., Ruskovska, T., Gasparovic, A. C., Cuadrado, A., Weber, D., Poulsen, H. E., Grune, T., Schmidt, H. H. H. W., & Ghezzi, P. (2015). Clinical Relevance of Biomarkers of Oxidative Stress. Antioxidants & Redox Signaling. https://doi.org/10.1089/ars.2015.6317
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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.